Telco innovation: Why it is broken and how to fix it

Telcos have tried innovating in many verticals

Incumbent telecommunications providers have seen their margins fall as basic telecommunications services, both fixed and mobile, have been increasingly commoditised. The need to provide differentiated services to counteract this trend is widely recognised in the industry, yet despite considerable investment and many attempts, too often new services launched by operators have failed to deliver the anticipated results. Yet some, especially in mobile banking and related services, have proved successful. Why is this so?

This report focuses on product and service innovation for customers, rather than on innovation in sales, marketing, finance, operations or networks. It addresses the introduction of new and innovative services and not the repackaging of existing communications services, for example in new pricing and service bundles (see Figure 2).

It looks at examples from a range of services, covering most of the new types of services introduced by MNOs over the past decade. These include:

  • Messaging: RCS and its competitors
  • Mobile financial and insurance services: Orange Money / Orange Bank, Millicom/Tigo’s joint ventures
  • Health: O2 Telehealth, Telenor’s Tonic health service
  • Smart home: AT&T’s Digital Life, Deutsche Telekom’s Qivicon
  • Lifestyle: Turkcell’s range of apps and Vodacom’s Mezzanine

We have covered many of these individually in previous reports, looking at how they were developed and have evolved over time, and whether and why they are (or we expect them to be) successful.

This report seeks to identify the common factors that led to success or failure, in order to establish some best practices for telcos in innovation. While we recognise that there are often several causes of success and failure, in some cases a single failure can undo much good work.

Previous reports this one builds on include:

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Product development or true diversification: How ambitious should telcos be?

Historically, telcos have aimed to find new customers for existing telecoms services, where the their market is not yet saturated, or expanding geographically to achieve scale. However, most telecoms markets are now nearly saturated – at least in the areas that telcos can profitably reach – so true service innovation, corresponding to the right hand side on the figure below, is now a crucial component for long term revenue growth.

The seven telco innovations discussed in this report are shown on the figure below. It is worth noting the progression Orange has made in building on its experience with its mobile money service to providing full banking services. This is highlighted in the diagram by the arrow, and is discussed more fully in the body of this report.

Most telcos innovation falls in the product development category on the Ansoff matrix

Telco innovations plotted on the Ansoff matrix

Source: STL Partners. For more on market development opportunity, see STL Partners report Making big beautiful: Multinational telcos need the telco cloud

In theory, one of the most effective ways of maximising the chances of success, and achieving the scale required to make a significant impact on revenues and profitability, is for operators to select services that target a large part of their existing customer base.

However, our analysis of the telco innovations in this report shows that there is actually little correlation between the distance from telcos’ core customer base and level of success. This because by tying new products and services too closely to their existing customer bases, telcos are actually limiting their ability to scale. While this approach is intended to help them compete more effectively against their peers, by increasing loyalty for core telecoms services, in reality, any telco-driven product development innovation is likely to compete with network agnostic service providers. So while it may make sense to offer something only to existing customers at the start, to truly scale telcos need to reach a wider market.

Orange is a good example of this transition. While its mobile money services in Africa remain tied to its telecoms customer base, its move into full-fledge banking in France is separate from telecoms services. As it rolls out full banking services across its footprint, this separation is likely to become more entrenched.

Many of the examples discussed in the main body of the report, including AT&T’s Digital Life, Orange Money and O2’s Telehealth venture were set up as separate businesses, which allowed their initial development to progress well. But this was not enough on their own to make them successful.

How successful have telcos been?

Comparing telcos’ investments into service innovations shows that, too often, they have made bets on areas that seem like natural opportunities for new services, but failed to gain traction because they didn’t do a rigorous enough assessment of the conditions for success.

To succeed in innovation, telcos must evaluate proposed new services or products much more painstakingly across three areas:

  1. User needs and requirements: that the product or service meets a real user need. This breaks down into two points:
    • The product or servicemust be easy to use and fit into users’ lifestyles.
    • And at the right price point. Most consumer products need a free tier to encourage customers to try and engage before paying (if ever). In some cases, the end user might not be the payer, so if that is the case then telcos need to identify the payer and ensure the product is relevant and valuable for them, too.
  2. Market structure and characteristics: clear vision of where the ROI is coming from. There are two main options for ROI – increased customer loyalty and new revenue.
    • For loyalty, telcos need a clear means of measuring whether the product or service is improving retention.
    • If telcos are seeking to build new revenue, they need to be realistic about how long it will take to achieve profitability and the size of the opportunity. Too often, telcos give up because they deem a new venture not valuable enough compared with the core business..
  3. Business structure: deciding on whether to develop something in house, to set up a joint venture, or acquire, and what the relationship is with the core business. The further away a new product or service is from the core business, the more independence it needs to develop and grow.

In this report, we compare the approaches of seven telco innovations, drawing on in-depth analysis from previous STL Partners reports, summarised in the table below.

Strategy is more important that degree of difficult for successful innovation

Assessment of quality of strategy and execution for telco innovationsSource: STL Partners

Our analysis shows that the difficulty of the innovation, i.e. whether it is product development or diversification into a new vertical, is less important to success than doing the difficult strategy and planning work outlined above.

For instance, while RCS is very closely tied to telcos’ existing customers and services, the necessary cooperation between telcos to bring it to market in a way that is valuable to consumers and potential enterprise customers was unrealistic from the start. By constrast, Tonic’s health insurance proposition is very different from Telenor’s core telecoms services, but Tonic’s clear vision and strategy, and ability to adapt to customer needs, have underpinned its early success in Bangladesh.

Read the full report to see a detailed assessment of each innovation across the three categories.

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NFV Deployment Tracker: North American data and trends

Introduction

NFV in North America – how is virtualisation moving forward in telcos against global benchmarks?

Welcome to the sixth edition of the ‘NFV Deployment Tracker’

This report is the sixth analytical report in the NFV Deployment Tracker series and is intended as an accompaniment to the updated Tracker Excel spreadsheet.

This extended update covers seven months of deployments worldwide, from October 2018 to April 2019. The update also includes an improved spreadsheet format: a more user-friendly, clearer lay-out and a regional toggle in the ‘Aggregate data by region’ worksheet, which provides much quicker access to the data on each region separately.

The present analytical report provides an update on deployments and trends in the North American market (US, Canada and the Caribbean) since the last report focusing on that region (December 2017).

Scope, definitions and importance of the data

We include in the Tracker only verified, live deployments of NFV or SDN technology powering commercial services. The information is taken mainly from public-domain sources, such as press releases by operators or vendors, or reports in reputable trade media. However, a small portion of the data also derives from confidential conversations we have had with telcos. In these instances, the deployments are included in the aggregate, anonymised worksheets in the spreadsheet, but not in the detailed dataset listing deployments by operator and geography, and by vendor where known.

Our definition of a ‘deployment’, including how we break deployments down into their component parts, is provided in the ‘Explanatory notes’ worksheet, in the accompanying Excel document.

NFV in North America in global context

We have gathered data on 120 live, commercial deployments of NFV and SDN in North America between 2011 and April 2019. These were completed by 33 mainly Tier-One telcos and telco group subsidiaries: 24 based in the US, four in Canada, one Caribbean, three European (Colt, T-Mobile and Vodafone), and one Latin American (América Móvil). The data includes information on 217 known Virtual Network Functions (VNFs), functional sub-components and supporting infrastructure elements that have formed part of these deployments.

This makes North America the third-largest NFV/SDN market worldwide, as is illustrated by the comparison with other regions in the chart below.

Total NFV/SDN deployments by region, 2011 to April 2019

total NFV deployments by region North America Africa Asia-Pacific Europe Middle East

Source: STL Partners

Deployments of NFV in North America account for around 24% of the global total of 486 live deployments (or 492 deployments counting deployments spanning multiple regions as one deployment for each region). Europe is very marginally ahead on 163 deployments versus 161 for Asia-Pacific: both equating to around 33% of the total.

The NFV North America Deployment Tracker contains the following data, to May 2019:

  • Global aggregate data
  • Deployments by primary purpose
  • Leading VNFs and functional components
  • Leading operators
  • Leading vendors
  • Leading vendors by primary purpose
  • Above data points broken down by region
  • North America
  • Asia-Pacific
  • Europe
  • Latin America
  • Middle East
  • Africa
  • Detailed dataset on individual deployments

 

Contents of the accompanying analytical report:

  • Executive Summary
  • Introduction
  • Welcome to the sixth edition of the ‘NFV Deployment Tracker’
  • Scope, definitions and importance of the data
  • Analysis of NFV in North America
  • The North American market in global context
  • SD-WAN and core network functions are the leading categories
  • 5G is driving core network virtualisation
  • Vendor trends: Open source and operator self-builds outpace vendors
  • Operator trends: Verizon and AT&T are the clear leaders
  • Conclusion: Slow-down in enterprise platform deployments while 5G provides new impetus

Investing in original content: Is it worth it?

Introduction

An in-depth analysis of whether telcos can make money from original content, this executive briefing builds on previous STL reports exploring the role of telcos in entertainment and advertising:

This new report evaluates the success of AT&T, BT and Swisscom’s original content and related distribution strategies, as well as identifying lessons to be learnt. It also appraises their investment in original content, exclusive content (e.g. sport) and buying content creators (e.g. Time Warner).

Following the acquisition of Time Warner, AT&T is a content owner and content distribution colossus. What is its underlying objective for providing a wide range of over-the-top (OTT) services, including DTV Now (satellite TV service delivered over-the-top) and AT&T Watch (live and on demand content)? How will content from Time Warner’s acquisition in June 2018 be incorporated into its products?

Has BT’s head on clash with Sky in the market with live sports met expectations? Has its heavy investment in football grown its revenue take, broadband subscriptions and attracted eyeballs?

Swisscom has grown to become Switzerland’s largest TV provider, using live sports as its differentiator. What other initiatives have contributed to its market leadership and can it maintain its dominance?

The case for investing in original content

Telcos typically invest in original content to achieve three objectives:

  • to open up new sources of revenue (direct subscription sales, wholesale distribution and ads sales)
  • to increase sales of core telco services/products (e.g. fixed broadband)
  • to raise their profile, increase their relevance and build brand loyalty.

But trying to pursue all these objectives simultaneously requires some difficult compromises – maximising content revenues means distributing the content as widely as possible, which means it no longer becomes a competitive differentiator through which to sell connectivity and build loyalty to the core proposition. In any case, regulators may require telcos to make some original content, notably the rights to live sport, available to competitors.

Therefore, achieving all of these objectives requires telcos to perform a delicate balancing act between making their content widely available and integrating it with the core connectivity proposition from both a technical perspective (using a cloud-based or physical set-top box) and a commercial perspective (attractive bundles and/or zero-rating the content). They need to perform this balancing act at a time when the digital entertainment market is in upheaval – customers in many markets are migrating from traditional pay TV (one or two year contracts) to video-on-demand subscriptions (month-by-month).

Not all content is equal

Ownership of sports rights should guarantee an audience linked to the size of the fanbase. Investing in original content, such as dramas, is far riskier. For every series of The Crown, a Netflix hit airing its third series in 2019, there is Marco Polo that cost US$200 million, cancelled after two series and an abject failure. Telco shareholders would baulk at taking such risks, given many have qualms about BT’s investment in Premier League rights (32 matches a season, 2019-22), which are equivalent to £9.2 million per game.

Alternatively, telcos could purchase a content developer/media company with a back catalogue of proven programming, as AT&T has done by buying Time Warner in June 2018. Investment in original content is a differentiator for pay TV providers (e.g. Sky) as well as over-the-top players (e.g. Netflix). Netflix has dramatically increased its investment in original content from its early foray with the House of Cards. During 2018 Netflix invested about US$6.8 billion in original content, including films, simultaneously screening some films at cinemas (e.g. Coen brothers’ The Ballad of Buster Scruggs).

However, the audience for expensively-created content is finite. They are binge watching fewer shows. In the USA, according to Hub Entertain Research, viewers watched an average of 4.4 favourite shows in 2018, compared to 5.2 in 2016. These viewers increasingly find out about favourite shows through advertisements and watch them on an video-on-demand service.

More and more competition

Although they benefit from economies of scale and scope, the major global online players are not oblivious to the risks of creating original content. Amazon somewhat mitigates the risk by using co-production. Amazon is working with pay TV companies (e.g. Sky / Sky Atlantic) as well as public service broadcasters (BBC). The co-production of content with Sky provides Amazon with the rights to show series outside Sky’s footprint. For the BBC, a junior partner in the relationship, it gets to air the co-produced programmes after Amazon has shown them (e.g. the final three series of Ripper Street). Apple is also investing US$1 billion in original content, which will be distributed by its new streaming service[1]. The new service, business model unknown, will also be accessible on non-Apple products. New Samsung, Sony, LG and Vizio TVs will support Apple iTunes movies and TV shows[2].

It is not just the major Internet platforms that are competing with telcos for eyeballs. Major content rights owners are also taking their first steps to launch direct-to-consumer services. The Disney Play streaming service will launch in late 2019, once its existing distribution agreement with Netflix comes to an end. New sports streaming services are vying for attention, e.g. DAZN owns the rights to English Premier League (EPL) in Germany, Switzerland, Austria and Japan, as well as combat sports (e.g. Matchroom Boxing and UFC) and other sports. Many sports federations also provide direct-to-consumer streaming services, alongside the sale of linear TV sports rights. These include The National Hockey League’s NHL.TV and National Football League’s GamePass in the USA, and the English Football League (EFL)’s iFollow service in the UK. Consumers outside the UK can also pay to stream EFL matches.

The importance of multiple content distribution models

But it is not just about having the right content: consumers also want the right commercial proposition. Pay TV providers recognise that not all consumers are willing to sign-up to 12- or 18-month contracts. Falling pay TV subscription rates, and a realisation that one-size doesn’t fit all has seen the emergence of month-to-month skinny pay TV packages. These offers may or may not be packaged with broadband connectivity.

Those that do subscribe to traditional pay TV will not subscribe to a second pay TV subscription, but many households are willing to subscribe to more than one additional over-the-top service. Half of the video-on-demand (SVOD) subscribers in the UK subscribe to more than one VOD service (Amazon, Netflix, NOW TV), and 71% of households with a VOD service also have a pay TV subscription (according to GfK SVOD Tracker).

There are essentially four key roles in the content value chain, identified and discussed by STL partners in previous reports. These roles are programme, package, platform and pipe. Traditionally, telcos’ primary objective is to sell as many pipes as possible. To that end, they offer packages of content (generally TV channels), which are sold on a subscription basis or offered for no fee, supported by advertising. A platform is used to distribute the channels, films and other content created and curated by another entity.

Telco content distribution models

four ways to monetise original content: pay TV, bundling and OTT

Source: STL Partners

Telco revenue from content and related services

An in-depth analysis of telcos’ return on investment in sports or film rights or original content is tricky. Telcos are not in the habit of revealing content revenue data. Figure 5 summarises the main metrics that need to be considered to evaluate the effectiveness of telcos’ investment in content.

The revenues that telcos can generate from content consist primarily of:

  1. Sale of the content to consumers
  2. Sale of banner, video and TV ads that sit / roll alongside the content
  3. Wholesale of content via third-party platforms
  4. Net additions of broadband / mobile pipes, increased ARPU/C and reduction in user/connection churn, increase in broadband / mobile pipe revenue.

Measuring return on investments in content

measuring original content ROI through direct sales, advertisement, wholesale and connectivity

Source: STL Partners

In the rest of this report, we evaluate AT&T, BT and Swisscom against these criteria.

Contents:

  • Executive Summary
  • Introduction
  • The case for investing in original content
  • More and more competition
  • The importance of multiple content distribution models
  • Telco revenue from content and related services
  • Swisscom sells content with strings attached
  • Investing in rights holders to secure original content
  • It is about the packaging, as well as the content
  • Limited advertising
  • Enriching the viewer experience
  • Mixed financial results
  • BT and its big bet on live sport
  • BT TV reaches an inflexion point
  • BT TV – getting more expensive
  • Is BT Sport changing direction?
  • BT’s broader branding strategy
  • BT as a content aggregator
  • BT Sport is available to rivals’ pay TV customers
  • Is BT making a financial return?
  • Is there a case for continued investment?
  • AT&T takes on Netflix
  • King of content?
  • DirecTV Now: A lackluster start
  • Takeaways: Walking a tightrope between old and new
  • A shaky financial performance to date
  • Conclusions

Figures:

  1. The differing strategies of Swisscom, BT and AT&T
  2. AT&T’s Entertainment Group is dragging down the broader business
  3. Rating the different elements of telcos’ original content strategy
  4. Telco content distribution models
  5. Measuring return on investments in content
  6. Swisscom’s TV subscriptions and market share
  7. Summary of Swisscom’s TV products
  8. Cost and availability of Teleclub Sport
  9. The growth in Swisscom’s TV Connections and Bundles
  10. Swisscom’s content strategy hasn’t arrested the decline in wireline revenues
  11. Swisscom’s ballpark annual revenue run rate from TV
  12. BT TV packages, February 2019 compared to end 2015
  13. BT has bought more low-grade matches and is paying less per game
  14. How BT tries to monetise its sports content
  15. A breakdown of BT’s brands and target segments
  16. BT Sport App packages across its multiple brands
  17. How BT is using content partnerships to broaden its offering
  18. BT Sport has helped to drive a major uplift in annual revenue
  19. BT’s Consumer Division has struggled to increase profitability
  20. BT’s TV and broadband customers are now flatlining
  21. Growth in BT TV and BT Sport connections has tailed off
  22. BT’s consumer fixed line revenue has been fairly flat
  23. BT Sport residential and commercial revenue estimates 2018 and 2022
  24. AT&T’s telecom, media and entertainment businesses (February 2019)
  25. AT&T’s pay TV and SVOD services (as of February 2019)
  26. The Entertainment Group’s revenues are slipping
  27. AT&T’s traditional pay TV business is in decline
  28. AT&T’s broadband connections are fairly flat
  29. AT&T’s Entertainment Group is seeing its top line squeezed
  30. AT&T is combining inventory to help increase ad spend

[1] Apple TV will be launched in 2019 https://www.fool.com/investing/2018/12/15/apples-original-content-ambitions-are-growing.aspx,  https://www.macworld.co.uk/news/apple/apple-streaming-service-3610603/

[2] Content can be streamed from an Apple device using Apple’s AirPlay wireless streaming protocol stack, which will be integrated into TVs.

How telcos can get ahead in advertising

Introduction

Why is AT&T doubling down on becoming a new media company, while Verizon Media is retrenching? With divergent strategies at play in the U.S. telecoms market, is there a path or multiple paths to success in the advertising market that other telcos can follow, or is it too soon to tell?

Telcos’ pursuit of the digital advertising market is not a new phenomenon. Early telco-led mobile marketing and advertising initiatives pre-date the mid-2007 launch of the iPhone. The journey began with pre-iPhone primitive text-messaging marketing, moved through display advertising to an increasingly sophisticated data-driven approach. What is new is the flurry of investments the leading U.S. telcos and some others, notably SingTel, have been making over the past few years to compete more holistically and effectively in the advertising/media space.

While their core communications/connectivity services businesses are maturing and being disrupted, U.S. telcos now face the prospect of investing heavily in building out next-generation 5G networks. They are placing bets on new, potentially lucrative and high-growth opportunities in the Internet-of-things (IoT), media/content and fixed wireless, among others. Among these opportunities, brokering digital advertising offers potentially the highest operating margins. AT&T’s Xandr advertising unit reported an operating margin of 68% for the fourth quarter of 2018, compared with 33% in its core communications business.

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Going on the offensive

Telecoms networks have long been the conduits for Google, Facebook, and Amazon, among others, to deliver innovative and disruptive (and mostly free) services, which generate billions in advertising revenues. Many of these same players have also introduced services, such as messaging, voice calls and video-on-demand, which have siphoned off revenues from the telcos that provide the networks they are riding on.

It is against this backdrop that distinct and evolving telco advertising strategies are emerging. And, from a U.S. market perspective, what a difference a year makes. In 2017, it looked like Verizon and AT&T were both doubling down on their advertising/media business strategies, with the aim of growing their piece of the total advertising pie and in turn attempting to siphon off advertising revenues from Google and Facebook, among others. But 2018 proved a watershed year, and now Verizon is pulling back, while AT&T continues full steam ahead.

This report focuses on the U.S. market and specifically how the big two telcos – Verizon and AT&T – have fared in the digital advertising market and what lessons other telcos can take away from their divergent market strategies. The report builds on past STL Partners research including:

The advertising opportunity for telcos

The future of advertising is digital. While spending on traditional advertising may have peaked, investment in digital advertising continues to fuel growth in the overall market. In 2018, global digital advertising revenues reached US$273 billion, and represented 44% of total advertising spend, according to eMarketer. By 2020, the specialist research firm expects digital to represent half of total global advertising spend, and by 2021 to eclipse traditional media spend – reaching US$427 billion globally in 2022. Note, eMarketer’s definition of digital advertising excludes SMS, MMS and P2P messaging-based advertising.

The global advertising opportunity – the future is digital

advertising is moving to digital

Source: eMarketer, May 2018

Within digital advertising, the mobile medium is taking over from the desktop as smartphones ship with larger screens and faster connectivity. Advertising agency Zenith, part of the Publicis Media Group, forecasts mobile advertising will account for 30.5% of global advertising expenditure in 2020, up from 19.2% in 2017. It reckons expenditure on mobile advertising will total US$187 billion by 2020, more than twice the US$88 billion spent on desktop advertising, and not far behind the US$192 billion spent on television advertising. At the current rate of growth, mobile advertising will comfortably overtake television in 2021, Zenith believes.

Mobile and cinematic advertising are growing faster than other segments

mobile and cinematic advertising growing fast

Source: Zenith

Singtel – a pioneering advertising play

Globally, one of the most advanced telcos in the advertising sector is Singtel, which has made a series of acquisitions to build out its adtech proposition, following its first deal in 2012, which saw it acquire Amobee, an early player in mobile advertising.

By some measures, Singtel is the largest telecoms group in south east Asia. The company and its affiliates serve 700 million mobile customers in 27 countries, including its wholly-owned subsidiary in Australia (Optus) and minority stakes in India, South Asia and Africa (Bharti Airtel, 40% effective stake); Indonesia (Telkomsel, 35% effective stake); Philippines (Globe Telecom, 47% ordinary shares); and mi Thailand (Advanced Info Service, 23% ordinary shares). With that extensive reach, which extends beyond mobile and includes Internet and video/TV customers, Singtel sees advertising as a high-growth opportunity and a way to leverage its customer data assets.

Singtel’s adtech play sits in its Group Digital Life (“GDL”) unit, which focuses on using the latest Internet technologies and assets of the operating companies to develop new revenue and growth engines by entering adjacent businesses where it has a competitive advantage. GDL focuses on three key businesses – digital marketing, regional premium OTT video and advanced analytics and intelligence capabilities, while acting as Singtel’s digital innovation engine through Innov8.

Singtel has spent about a billion dollars on adtech capabilities

Singtel spends a billion dollars on advertising companies

*Purchase price not available. Source: Company reports

In the fourth quarter of 2018, GDL contributed 8% (up from 7% in the previous quarter) to the Singtel group’s operating revenue. GDL’s operating revenue for the quarter grew 17%, lifted by a full quarter’s contribution from Videology and growth in Amobee’s programmatic platform business, partially offset by lower media revenues. At an EBITDA level, GDL lost S$16 million after inclusion of Videology’s losses.

Singtel said that Amobee’s programmatic platform business continues to gain traction, while the integration of Videology will further strengthen Amobee’s capabilities in TV and video advertising. Although its advertising business isn’t yet making a major financial contribution, Singtel’s continued investments in this market suggest the Singapore-based operator remains committed and convinced that there are synergies between the telecoms and advertising sectors.

The rest of this report looks at U.S. telcos’ advertising strategies in depth, drawing conclusions and recommendations for other telcos globally.

Contents:

  • Executive Summary
  • Introduction
  • The advertising opportunity for telcos
  • Singtel – a pioneering advertising play
  • U.S. mobile market shift in full swing
  • Telcos’ strategic fits and starts
  • Google and Facebook strong, but Amazon makes gains
  • Amazon pulls commerce levers in advertising
  • Privacy, identity and security challenges and mandates
  • GDPR: A harbinger of things to come to the U.S.
  • U.S. telcos’ advertising assets
  • AT&T goes all-in on advanced advertising
  • More inventory, stronger monetisation
  • Balancing advertising and subscriptions
  • Takeaways
  • Verizon cuts its losses
  • The obstacles in the way of Oath
  • Takeaways
  • Conclusions and recommendations
  • Recommendations
  • Recommendations for major telcos

Figures:

  1. Recommendations for how AT&T can get ahead in advertising
  2. Why Verizon didn’t get ahead in advertising
  3. The global advertising opportunity – the future is digital
  4. Mobile and cinematic advertising are growing faster than other segments
  5. Singtel has spent about a billion dollars on adtech capabilities
  6. US online advertising spend – shift to mobile has already happened
  7. Examples of telcos’ investments/divestments in adtech and content
  8. Amazon gains, but still significant opportunities for telcos
  9. AT&T, Verizon and Comcast’s content and advertising assets
  10. AT&T’s advertising revenues are rising rapidly
  11. Xandr is growing rapidly, but its high margins are sliding downwards
  12. AT&T reaps rewards from Xandr, WarnerMedia, but pay TV is still a drag
  13. Verizon Media (previously Oath) fails to hit revenue growth targets
  14. As Verizon’s ad business struggles, it doubles down on 5G
  15. SWOT analysis and recommendations for big telcos in advertising

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Can telcos create a compelling smart home?

Telcos role in smart homes

Part of STL Partners’ (Re)connecting with Consumers stream, this report analyses the role of telcos in the smart home market, which is now growing steadily in many developed countries, as consumers seek to bolster security, improve energy efficiency, adopt electric cars and further automate appliances. In most developed markets, there are scores of companies pitching often incompatible smart home products and services to householders, resulting in a fragmented mess in which consumers are often left to figure out what might work with what.

This fragmentation spells opportunity for both telcos and the major Internet platforms – both sets of companies can use their role as a supplier of a key part of the smart home proposition (connectivity and computing devices respectively) as a springboard into the smart home solutions space.

In the case of Apple, Amazon and Google that means using the smartphone, the tablet and/or smart speakers as a segue into this market, while telcos can build on their connectivity offering, which is a fundament to the concept of a smart home that can be monitored and controlled from anywhere.

The challenge facing both sets of players is essentially delivering the systems-level integration required to simplify the consumer proposition into a seamless end-to-end offering that will appeal to the mass market. Without coherent coordination, the smart home will continue to characterised by of point solutions.

This report begins with an overview of the smart home sector and the competitive landscape, paying particular attention to the strategies of the major Internet platforms – Amazon, Apple and Google. It then goes on to discuss Deutsche Telekom’s and A&T’s contrasting strategies in this space, before making some recommendations for telcos.

This report builds on previous STL research, notably:

This report is the first in a series looking at smart home/connected consumer propositions from telcos. Future reports will analyse how the leading Asian telcos are targeting this market, while exploring related propositions, such as connected bikes and scooters, pet tracking and asset monitoring and insurance.

The smart home market

In an ideal world, a householder would be able to remotely monitor and control all the systems in their home, simply by pressing a button to activate and deactivate heating, air conditioning, alarms, locks, cameras and appliances, such as washing machines and automated vacuum cleaners. Although this concept, known as a smart home, has been around for many years, it is only now beginning to come of age. The smart home could also become an enabler for the sharing economy, making it easier for people to rent out their homes, monitor energy usage and take out appropriate insurance cover.

Up until very recently, most so-called smart home implementations amounted to partial solutions, enabling a householder to check their energy usage or a CCTV camera, rather than get a complete picture of what is happening in their property. In other words, most suppliers have focused on discrete point solutions designed for a fairly narrow use case.

While homes in developed markets have a growing number of connected devices (such as televisions, sound systems, printers, smart meters and burglar alarms), they rarely exchange information and typically can’t be managed through a single app or desktop interface.

This lack of coordination is a result of the diversity of the many different players supplying consumers with connected equipment and services for their homes, ranging from utilities and security companies to equipment makers and tech companies.

The smart home value chain

Indeed, a smart home value chain can be very complex and diverse. To make a home really smart, you would typically need:

  • A central hub that can aggregate and analyse related data, such as energy usage and room occupancy. This hub could be in the cloud or a device in the home.
  • Middleware that enables connected things to exchange data with each other and the hub.
  • A large number of connected appliances, devices and sensors, ranging from boilers and washing machines to door locks and smoke detectors.
  • Suitable connectivity for all the components, which could be WiFi, Zigbee, Bluetooth or a cellular technology.
  • A user interface or interfaces, such as a voice-activated speaker or a touchscreen tablet or smartphone, the householder can use to monitor and control their home.

Today, most telco-led smart home implementations take an ‘inside out’ approach in which the hub is located in the home: short range wireless technologies collect data from connected devices, which are aggregated in the hub and are then made available to the consumer via a smartphone app. In this scenario, the hub is generally connected to a fixed-line network via WiFi. However, 4G and 5G technologies, such as NB-IoT and LTE-M, could make it feasible to connect more devices directly to a cloud-based hub, which could ultimately allow smart homes to emerge in the many communities not served by fixed-line networks.

In some markets, these two approaches may be combined: cellular connectivity may be used to back-up WiFi, while some data and services will reside in both the cloud and on a local device in case the wide area connectivity fails or is tampered with.

For telcos providing the underlying fixed-line or cellular connectivity, the sheer variety of players touting smart home products and services makes the market both complex and challenging. Figure 1, an overview of the smart home ecosystem produced by the GSMA, highlights how many different angles there are on the smart home concept. However, even this chart is an over-simplification – the smart home market also overlaps with the personal transport market to some extent. Some of the potential use cases, such as charging electric vehicles, require coordination between the consumer’s home and vehicle.

Figure 1: The smart home ecosystem is complex and fragmented

smart home market

Source: GSMA Intelligence

Size of smart home market

Given the breadth of the smart home market and the blurred lines between it and other segments, sizing it in dollar terms is difficult. Research firm Strategy Analytics estimates worldwide consumer spending on smart home devices, systems and services totalled US$84 billion in 2017 and will reach almost US$96 billion in 2018.

However, ABI Research is more conservative, pegging the global smart home market at US$56 billion in 2018. The actual number will be down to what products and services are included and whether analysts are counting the total value of an appliance or just the embedded connectivity and processing power.

For example, should the total sale price of a washing machine with built-in WiFi be included? Or should analysts just count the value of the connectivity module? What if the WiFi is never activated? In any case, it is clear that the market is growing steadily as the cost of adding connectivity to consumer appliances and devices falls. The cost of adding a WiFi or cellular module to an appliance is in the region of US$10 to US$20, depending how many frequencies it supports and which radio technology is used.

Contents:

  • Executive Summary 
  • Introduction
  • The smart home market
  • Sizing the smart home space
  • How important are smart speakers?
  • The Internet players and their strategies
  • The Internet platforms jostle for position
  • Amazon bets big on Alexa
  • Google plays aggressive defence
  • Apple plays the premium game
  • Facebook struggles to differentiate
  • Utilities/security companies
  • Consumer electronics/appliances
  • The role of telcos in the smart home
  • Deutsche Telekom offers data protection
  • Does DT need its own voice?
  • Differentiation through data protection?
  • AT&T changes course
  • Conclusions
  • A major opportunity to cut complexity
  • Internet players don’t have a stranglehold

Figures:

  • Figure 1: The smart home ecosystem is complex and fragmented
  • Figure 2: Amazon and Google face growing competition in the smart speaker market
  • Figure 3: Alexa is integrated into the control panel of Amazon’s new microwave
  • Figure 4: The new Google Home Hub is designed to be fairly proactive
  • Figure 5: Facebook’s premium Portal has a rotating screen and a video camera
  • Figure 6: The Magenta Smarthome app can manage temperature, security and lighting
  • Figure 7: Deutsche Telekom’s growing smart home service
  • Figure 8: DT’s new smart speaker
  • Figure 9: Some of the functionality available from AT&T’s Digital Life service
  • Figure 10: AT&T’s LTE-M enabled button works with AWS to perform a specific task

5G: The first three years

The near future of 5G

Who, among telecoms operators, are 5G leaders? Verizon Wireless is certainly among the most enthusiastic proponents.

On October 1, 2018, Verizon turned on the world’s first major 5G network. It is spending US$20 billion to offer 30 million homes millimetre wave 5G, often at speeds around a gigabit. One of the first homes in Houston “clocked speeds of 1.3 gigabits per second at 2,000 feet.”  CEO Vestberg expects to cover the whole country by 2028, some with 3.5 GHz. 5G: The first three years cuts through the hype and confusion to provide the industry a clear picture of the likely future. A companion report, 5G smart strategies, explores how 5G helps carriers make more money and defeat the competition.

This report was written by Dave Burstein with substantial help from Andrew Collinson and Dean Bubley.

What is 5G?

In one sense, 5G is just a name for all the new technologies now being widely deployed. It’s just better mobile broadband. It will not change the world anytime soon.

There are two very different flavours of 5G:

  • Millimetre wave: offers about 3X the capacity of mid-band or the best 4G. Spectrum used is from 20 GHz to over 60 GHz. Verizon’s mmWave system is designed to deliver 1 gigabit downloads to most customers and 5 gigabits shared. 26 GHz in Europe & 28 GHz in the U.S. are by far the most common.
  • Low and mid-band: uses 4G hardware and “New Radio” software. It is 60-80% less capable on average than millimetre wave and very similar in performance to 4G TD-LTE. 3.3 GHz – 4.2 GHz is by far the most important band.

To begin, a few examples.

5G leaders are deploying millimetre wave

Verizon’s is arguably currently the most advanced 5G network in the world. Perhaps most surprisingly, the “smart build” is keeping costs so low capital spending is coming down. Verizon’s trials found millimetre wave performance much better than expected. In some cases, 5G capacity allowed reducing the number of cells.

Verizon will sell fixed wireless outside its incumbent territory. It has ~80 million customers out of district. Goldman Sachs estimates it will add 8 million fixed wireless by 2023 and more than pay for the buildout.

Verizon CEO Hans Vestberg says he believes mmWave capacity will allow very attractive offerings that will win customers away from the competition.

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What are the other 5G leaders doing?

Telefónica Deutschland has similar plans, hoping to blow open the German market with mmWave to a quarter of the country. Deutsche Telekom and Vodafone are sticking with the much slower mid-band 5G and could be clobbered.

Most 5G will be slower low and mid-band formerly called 4G

80% or more of 5G worldwide the next three years will not be high-speed mmWave. Industry group 3GPP decided early in 2018 to call anything running New Radio software “5G.” In practice, almost any currently shipping 4G radio can add on the software and be called “5G.” The software was initially said to raise capacity between 10% and 52%. That’s 60% to 80% slower than mmWave. However, improved 4G technology has probably cut the difference by more than half. That’s 60% to 80% slower than mmWave. It’s been called “faux 5G” and “5G minus,” but few make the distinction. T-Mobile USA promises 5G to the entire country by 2020 without a large investment. Neville Ray is blanketing the country with 4G in 20 MHz of the new 600 MHz band. That doesn’t require many more towers due to the long reach of low frequencies. T-Mobile will add NR software for a marketing push.

In an FCC presentation, Ray said standalone T-Mobile will have a very wide 5G coverage but at relatively low speeds. Over 85% of users will connect at less than 100 megabits. The median “5G” connection will be 40-70 megabits. Some users will only get 10-20 megabits, compared to a T-Mobile average today of over 30 megabits. Aggregating 600 MHz NR with other T-Mobile bands now running LTE would be much faster but has not been demonstrated.

While attesting to the benefits of the T-Mobile-Sprint deal, Neville claimed that using Sprint spectrum at 2500 MHz and 11,000 Sprint towers will make a far more robust offering by 2024. 10% of this would be mmWave.

In the final section of this report, I discuss 5G smart strategy: “5G” is a magic marketing term. It will probably sell well even if 4G speeds are similar. The improved sales can justify a higher budget.

T-Mobile Germany promises nationwide 5G by 2025. That will be 3.5 GHz mid-band, probably using 100 MHz of spectrum. Germany has just set aside 400 MHz of spectrum at 3.5 GHz. DT, using 100 MHz of 3.5 GHz, will deliver 100–400 megabit downloads to most.

100–400 megabits is faster than much of T-Mobile’s DSL. It soon will add fixed mobile in some rural areas. In addition, T-Mobile is selling a combined wireless and DSL router. The router uses the DSL line preferably but can also draw on the wireless when the user requires more speed.

China has virtually defined itself as a 5G leader by way of its government’s clear intent for the operators. China Mobile plans two million base stations running 2.5 GHz, which has much better reach than radio in the 3.5 GHz spectrum. In addition, the Chinese telcos have been told to build a remarkable edge network. Minister Miao Wei wants “90% of China within 25 ms of a server.” That’s extremely ambitious but the Chinese have delivered miracles before. 344 million Chinese have fibre to the home, most built in four years.

Telus, Canada’s second incumbent, in 2016 carefully studied the coming 5G choices. The decision was to focus capital spending on more fibre in the interim. 2016 was too early to make 5G plans, but a strong fibre network would be crucial. Verizon also invested heavily in fibre in 2016 and 2017, which now is speeding 5G to market. Like Verizon, Telus sees the fibre paying off in many ways. It is doing fibre to the home, wireless backhaul, and service to major corporations. CEO Darren Entwistle in November 2018 spoke at length about its future 5G, including the importance of its large fibre build, although he hasn’t announced anything yet.

There is a general principle that if it’s too early to invest in 5G, it’s a good idea to build as much fibre as you can in the interim.

Benefits of 5G technology

  • More broadband capacity and speed. Most of the improvement in capacity comes from accessing more bandwidth through carrier aggregation, and many antenna MIMO. Massive MIMO has shipped as part of 4G since 2016 and carrier aggregation goes back to 2013. All 5G phones work on 4G as well, connecting as 4G where there is no 5G signal.
  • Millimetre wave roughly triples capacity. Low and mid-band 5G runs on the same hardware as 4G. The only difference to 4G is NR software, which adds only modestly to capacity.
  • Drastically lower cost per bit. Verizon CEO Lowell McAdam said, “5G will deliver a megabit of service for about 1/10th of what 4G does.”
  • Reduced latency. 1 ms systems will mostly only be in the labs for several more years, but Verizon’s and other systems deliver speed from the receiver to the cell of about 10 milliseconds. For practical purposes, latency should be considered 15 ms to 50 ms and more, unless and until large “edge Servers” are installed. Only China is likely to do that in the first three years.

The following will have a modest effect, at most, in the next three years: Autonomous cars, remote surgery, AR/VR, drones, IoT, and just about all the great things promised beyond faster and cheaper broadband. Some are bogus, others not likely to develop in our period. 5G leaders will need to capitalise on near-term benefits.

Contents:

  • Executive Summary
  • Some basic timelines
  • What will 5G deliver?
  • What will 5G be used for?
  • Current plans reviewed in the report
  • Introduction
  • What is 5G?
  • The leaders are deploying millimetre wave
  • Key dates
  • What 5G and advanced 4G deliver
  • Six things to know
  • Six myths
  • 5G “Smart Build” brings cost down to little more than 4G
  • 5G, Edge, Cable and IoT
  • Edge networks in 5G
  • “Cable is going to be humongous” – at least in the U.S.
  • IoT and 5G
  • IoT and 5G: Does anyone need millions of connections?
  • Current plans of selected carriers (5G leaders)
  • Who’s who
  • Phone makers
  • The system vendors
  • Chip makers
  • Spectrum bands in the 5G era
  • Millimetre wave
  • A preview of 5G smart strategies
  • How can carriers use 5G to make more money?
  • The cold equations of growth

Figures:

  • Figure 1: 20 years of NTT DOCOMO capex
  • Figure 2: Verizon 5G network plans
  • Figure 3: Qualcomm’s baseband chip and radio frequency module
  • Figure 4: Intel 5G chip – Very limited 5G production capability until late 2019
  • Figure 5: Overview of 5G spectrum bands
  • Figure 6: 5G experience overview
  • Figure 7: Cisco VNI forecast of wireless traffic growth between 2021–2022

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Telco apps: What works?

Introduction

Part of STL Partners’ (Re)connecting with Consumers stream, this report analyses a selection of successful mobile apps run by telcos or their subsidiaries. It explains why mobile apps will continue to play a major in the digital economy for the foreseeable future before considering the factors that have made particular telco apps successful. Most of the apps considered in the report are from Asia, primarily because operators in that world have typically been more aggressive in pursuing the digital services market than their counterparts elsewhere. Note, the list of apps analysed in this report is far from exhaustive – there are other successful telco-run apps on the market.

The ultimate goal of this report is to explain how apps can engage customers and give telcos greater traction with consumers. Although many apps are rarely used and quickly discarded, the most popular apps, such as Instagram, Spotify and YouTube, have become an integral part of the daily lives of hundreds of millions of people. Some apps, such as Uber and Google Maps, regularly provide people with services and/or information that make their lives much easier – getting a taxi or navigating through an unfamiliar city is now much easier than it used to be. Indeed, a well-designed app dedicated to a specific service can deliver both relevance and revenues.

This report builds on previous STL research, notably:

Can Netflix and Spotify make the leap to the top tier?

AI in customer services: It’s not all about chatbots

AI on the Smartphone: What telcos should do 

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Why apps matter for telcos

Telcos’ most successful digital services, notably SMS, pre-date the smartphone app era.  Even more recent triumphs, such as the M-Pesa, the ground breaking mobile money service in Kenya, were originally designed to work on feature phones.  Many similar services, such as MTN Money and Orange Money, aimed at the large numbers of people without bank accounts in Africa and developing Asia, continue to be accessed largely through text-based menus via SIM toolkit.

But the widespread adoption of smartphones in developed and developing markets alike mean that telcos everywhere need to ensure all the consumer services they offer can be accessed via well-designed and intuitive apps with graphical user interfaces. By the end of 2017, there were 4.3 billion smartphones in use worldwide, according to Ericsson’s estimates. Moreover, smartphone adoption continues to rise rapidly, particularly in Africa, India and other developing countries. Ericsson reckons the number of smartphone subscriptions will reach 7.2 billion in 2023 (see Figure 3).

Figure 3: The number of smartphones in use is rising steadily across the world

Global App take up

Source: Ericsson Mobility Report, June 2018

Subscriptions associated with smartphones now account for around 60% of all mobile phone subscriptions, according to Ericsson, which says that 85% of all mobile phones sold in the first quarter of 2018 were smartphones.

With smartphones the default handset for people in developed markets and many developing markets, apps have become a major medium for interactions between consumers and service providers across the economy. Now approximately ten years old, the so-called app economy is worth tens of billions of dollars per annum.

Although there has been a backlash, as people’s smartphones get clogged up with apps, the sector still has considerable momentum.

The most popular apps, such as Uber and Amazon Shopping, combine ease of access (straightforward authentication), with ease-of-use and ease-of-payment, enabling them to attract tens of millions of users.

With some justification, proponents contend that apps will continue to be one of the main drivers of the digital economy for the foreseeable future. The broader app economy will be worth $6.3 trillion by 2021, up from $1.3 trillion in 2016, according to App Annie. Note, those figures include in-app ads and mobile commerce, as well as the revenues generated through app stores. In other words, this is the total value of the business conducted via apps, rather than the revenue accrued by app stores and developers. This dramatic forecast assumes the ongoing shift of physical transactions to the mobile medium continues apace: App Annie expects the value of mobile commerce transactions to rise from $344 per user in 2016 to $946 by 2021.

Although most of the leading apps are free, many do generate a subscription fee or one-off sales. Annual consumer spending in app stores is set to rise 18% between 2016 and 2021 to reach $139 billion worldwide, according to specialist app analytics firm App Annie, which also forecasts the total time spent in apps will grow to 3.5 trillion hours in 2021, up from 1.6 trillion in 2016.

In reality, some of these aggressive forecasts may prove to be too bullish, as consumers begin to make greater use of messaging services and voice-activated speakers to interact with local merchants and purchase digital content and services.  Even so, it is clear that the leading mobile apps will continue to be a major consumer engagement tool for many brands and merchants well into the next decade. In some cases, such as Spotify or the fitness app Strava, the user has typically put significant effort into creating a personalised experience, helping to cement their loyalty.

In developed countries, some telcos, notably AT&T and Verizon, have belatedly and expensively acquired a major presence in the app economy by buying leading digital content producers and service providers. With the $85.4 billion acquisition of Time Warner, AT&T is now the owner of HBO Now, which was the third highest app by consumer spend in the US in 2017, according to App Annie. HBO Now also ranked fifth in Mexico and eighth in the world on this measure. Having acquired Yahoo! and AOL apps over the past few years, Verizon ranked eighth among companies in terms of downloads in the US in 2017.

The delicate transition from SIM toolkit to app

But expensive acquisitions are not the only way into the app economy. For telcos that have developed consumer services from the ground-up, the rise of the smartphone offers opportunities to provide much richer functionality and a more intuitive interface, as well cross-selling and up-selling. In Kenya, Safaricom has been expanding the mobile money transfer service M-Pesa into a much broader financial services proposition, while prodding users to switch from the SIM toolkit to the app, which can properly highlight M-Pesa’s wider proposition. At the same time, the telco has integrated M-Pesa into its customer service app, mySafaricom, helping it to promote its broader telecoms offering to frequent users of its mobile money services.

However, Safaricom is well aware that it needs to tread cautiously, continuing to cater for those customers who are comfortable with the SIM toolkit experience. Its softly-softly approach is to reassure Kenyans that they can always fall back on the SIM toolkit, if they don’t like the app.  In a Safaricom-sponsored article from August 2017, Emmanuel Chenze wrote the following on the online site, Android Kenya:

“For over a year now, Safaricom has had the mySafaricom application available on the Google Play Store for users to be able to better manage the services they receive from the telecommunications company. However, it wasn’t until March this year when the application was updated to include M-PESA.

“With M-PESA finally integrated, the over 1 million smartphone users can now take full advantage and transact even faster thanks to the app. While good ol’ SIM toolkit still works wonders and remains a good backup option when you’re not connected to the internet or when the mySafaricom app is acting up, using the application, which has since been updated to reflect Safaricom’s recent rebranding, is way better than using the otherwise cumbersome SIM toolkit.”

If they can make their apps straightforward and easily accessible, Africa’s telcos could still become major players in the app economy – as Figure 4 indicates, the number of smartphones in use in sub-Saharan Africa could double between now and 2023. That gives telcos a major opportunity to promote their apps to first-time smartphone users as they buy their new handsets. Pan-Africa operator MTN is pursuing this strategy with its MTN Game+ , Music+ and video apps (see Figure 4).

Figure 4: MTN is pushing its entertainment apps to new smartphone users

Safaricom app chart

Source: MTN interim results presentation for the six months ended June 2018

In Asia, some telcos have successfully developed widely used apps from scratch, notably in the customer care space, as explained in the next section (continued in full report).

Table of Contents

  • Executive Summary
  • Introduction
  • Why apps matter
  • The delicate transition from SIM toolkit to app
  • Telcos can build on customer care
  • My AIS – a top ten app in Thailand
  • Takeaways
  • Information apps have traction
  • Call management apps prove popular in South Korea
  • T Map in top ten apps in South Korea
  • Takeaways
  • Telcos’ entertainment apps go regional
  • PCCW’s Viu plays in sixteen markets
  • Liberty Global
  • Takeaways
  • Turkcell: Using apps to up engagement
  • Competitive in communications
  • Takeaways

Table of Figures

  • Figure 1: Alternative routes for telcos to build out their app proposition
  • Figure 2: Overview of the telco-owned apps covered in this report
  • Figure 3: The number of smartphones in use is rising steadily across the world
  • Figure 4: MTN is pushing its entertainment apps to new smartphone users
  • Figure 5: My AIS supports payments and loyalty points, as well as usage monitoring
  • Figure 6: The True iService app has a clear and straightforward graphic interface
  • Figure 7: True Digital’s app portfolio covers everything from coffee to communications
  • Figure 8: WhoWho helps user manage incoming calls on phones and wearables
  • Figure 9: SK Telecom’s T map app for public transport covers trains, buses and taxis
  • Figure 10: KKBOX Claims Strong Customer Base Among iPhone Users
  • Figure 11: Turkcell’s broad portfolio of apps covers content and communications
  • Figure 12: Turkcell’s BiP Messenger is designed to be fun
  • Figure 13: Turkcell is focused on how much time customers spend in its apps
  • Figure 14: Turkcell’s foreign subsidiaries are much smaller than its domestic operation

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Why fibre is on fire again

Introduction

Fibre to the home is growing at a near-explosive rate

Every company faces the problems of mature markets, disappointing revenues and tough decisions on investment. Everyone agrees that fibre delivers the best network experience, but until recently most companies rejected fibre as too costly.

Now, 15 of the world’s largest phone companies have decided fibre to the home is a solution. Why are so many now investing so heavily?

Here are some highlight statistics:

  • On 26th July 2018, AT&T announced it will pass 5 million locations with fibre to the home in the next 12 months, after reaching 3 million new locations in the last year.[1] Fibre is now a proven money-maker for the US giant, bringing new customers every quarter.
  • Telefónica Spain has passed 20 million premises – over 70% of the addressable population – and continues at 2 million a year.
  • Telefónica Brazil is going from 7 million in 2018 to 10 million in 2020.
  • China’s three giants have 344 million locations connected.[2]
  • Worldwide FTTH connections grew 23% between Q1 2017 and Q1 2018.[3]
  • In June 2018, China Mobile added 4.63 million broadband customers, nearly all FTTH.[4]
  • European FTTH growth in 2017 was 20%.[5]
  • In India, Mukesh Ambani intends to connect 50 million homes at Reliance Jio.[6]

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Even the most reluctant carriers are now building, including Deutsche Telekom and British Telecom. In 2015, BT Openreach CTO Peter Bell said FTTH was “impossible” for Britain because it was too expensive.[7] Now, BT is hiring 3,500 engineers to connect 3 million premises, with 10 million more homes under consideration.[8]

Credit Suisse believes that for an incumbent, “The cost of building fibre is less than the cost of not building fibre.”

Contents:

  • Executive Summary
  • Introduction
  • Fibre to the home is growing at a near-explosive rate
  • Why the change?
  • Strategies of leading companies
  • Frontrunners
  • Moving toward rapid growth
  • Relative newcomer
  • The newly converted
  • Alternate carriers
  • Naysayers
  • U.S. regionals: CenturyLink, Frontier and Windstream
  • The Asian pioneers
  • Two technologies to consider
  • Ten-gigabit equipment
  • G.fast
  • The hard question: How many will decide to go wireless only?

Figures:

  • Figure 1: Paris area fibre coverage – Orange has covered most of the capital
  • Figure 2: European fibre growth
  • Figure 3: Top five European incumbents, stock price July 2016 – July 2018
  • Figure 4: DT CEO Tim Höttges and Bavarian Prime Minister Dr. Markus Söder announce a deal to fibre nearly all of Bavaria, part financed by the government

[1] https://www.fastnet.news/index.php/11-fib/715-at-t-fiber-run-rate-going-from-3m-to-5m-year

[2] https://www.fastnet.news/index.php/8-fnn/713-china-1-1b-4g-400m-broadband-328m-fibre-home-rapid-growth

[3] http://point-topic.com/free-analysis/world-broadband-statistics-q1-2018/

[4] https://www.chinamobileltd.com/en/ir/operation_m.php

[5] http://www.ftthcouncil.eu/documents/PressReleases/2018/PR%20Market%20Panorama%20-%2015-02-2018-%20FINAL.pdf

[6] https://www.fastnet.news/index.php/11-fib/703-india-unreal-jio-wants-50m-ftth-in-1100-cities

[7] G.fast Summit May 2015

[8] https://www.theguardian.com/business/2018/feb/01/bt-openreach-hire-3000-engineers-drive-to-fill-broadband-not-spots

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Network AI: The state of the art

Introduction

This report is part of a series exploring how telecoms operators can leverage artificial intelligence (AI) to improve their business operations, from customer experience to new services. Previous reports on AI in telecoms include:

This report explores the applications of AI for network operations, detailing the prerequisites and stages to implementing AI and automation in networks, real-world examples of what some telcos have done already, and their potential value across different application areas.

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We divide the applications for AI in telecoms networks into three main categories:

  • Fault detection, prediction and resolution: speeding up the process of identifying and resolving network faults, including predictive maintenance. This also includes identifying and mitigating network security risks, although security is a highly specialised field that merits its own report, so we do not cover it in detail here.
  • Network optimisation: optimising the use of network resources to mitigate the impact of network faults and adapt to or anticipate changes in demand. This is also the foundation for automated service provisioning in software defined networks, while insights on network usage and traffic could be valuable for new service creation.
  • Network planning and upgrades: optimising new infrastructure planning as well as the transition from legacy to next generation network solutions.

The first area is critical for all telcos, since service impairments are an inevitable element of running a network. The second is of immediate value for telcos that are still in the process of expanding existing network coverage and density, since it can enable operators to use their existing resources more efficiently. However, it is also increasingly tied into the first area of fault detection, since a large part of the fault resolution process is finding ways to re-route traffic from underperforming to underused assets, a process that is made easier with the adoption of SDN and NFV – processes can only be automated if they are software-based.

Compared with the first two categories, using AI for smarter network planning and upgrades is a nascent field. This is partially because many Tier 1 operators, who are leading the charge in adoption of AI elsewhere in network and business operations, completed the bulk of 4G deployments and have not yet fully embarked on 5G deployments. However, this report also looks at some innovative applications of image recognition models for network expansion in emerging markets.

While most of the data used for training and informing AI systems across network operations comes from operators’ own networks, telcos are also beginning to tap into new data sources to further refine their decision-making, such as using drones and image recognition to inspect towers, weather patterns and social media data.

Laying the foundations for AI in telecoms networks

Before jumping into how telcos are implementing AI for fault detection and resolution and in network operations, it is important to clarify what we mean by AI, and lay out the pre-requisites for any meaningful use of the technology.

What counts as AI? From automation to advanced AI

The term AI is nebulous – everyone has a different definition for it. Is it when a computer can make a faster, more accurate decision than a human?  Is it when a process is fully automated? Is it when the computer learns and continuously improves its decisions in real-time?

Wherever people draw the line between manual processes, (big) data analytics, automation and machine learning (ML) / AI, no company goes directly from manual to AI in one go. The transition is gradual. In this report we therefore use a broad definition of AI in this report, as outlined in Figure 1.

Figure 1: Not all AI is equal

Rules-based automation to machine learning

Source: STL Partners

Two transitions are happening in parallel as operators move from left to right on Figure 1. First, there is a shift towards increasingly intelligent analytics techniques, from rules-based automation, where policies outline if-then sequences of actions for the computer, to machine learning supported automation, where models are trained to fulfil an intent (a goal) based on guidelines from experts and historical data.

The second transition that occurs in the move towards more sophisticated AI systems relates to decision-making. In rules-based automation, computers don’t have any decision-making power, they can only take pre-defined actions in specific circumstances. Making the transition from telling computers how to do something to what you want them to do means giving computers decision-making power. Telcos can do this gradually, by requiring humans to verify and approve recommended decisions before they are implemented. But in the promised future 5G and ‘sliceable’ networks, human approval for routine decisions would require more network engineers than operators could profitably employ, or drastically slow down network operations. This is not just a technical issue for telcos but also a cultural one that demands clarity from management teams on the evolving role of network engineers.

Contents:

  • Executive Summary
  • Making the shift from manual operations to autonomous, intelligent networks
  • Recommendations
  • Introduction
  • Laying the foundations for AI in telecoms networks
  • What counts as AI? From automation to advanced AI
  • AI works at two levels for network operations
  • Data: The bridge between rules-based automation and ML
  • Fault detection, prediction and resolution
  • What is it worth?
  • How does it work?
  • Real-world example of a recommendation model: AT&T Tower Outage and Network Analyzer
  • Next step: From fixed to self-learning policies
  • Optimising network capacity
  • What are self-optimising networks worth?
  • Use case overview
  • How to do it
  • From self-optimising to knowledge-defined networks
  • AI for network planning
  • Telefónica case study
  • Driving automation internally versus partnering with vendors
  • Reasons for developing solutions internally
  • Reasons for partnering with a vendor
  • Vendor profiles
  • How AI fits with SDN/NFV
  • Conclusions and recommendations

Figures:

  • Figure 1: Not all AI is equal
  • Figure 2: Rules-based automation versus machine learning
  • Figure 3: A snapshot of rules-based automation versus machine learning
  • Figure 4: Overview of automation and AI in network operations
  • Figure 5: Telemetry is faster and uses less compute power than SNMP
  • Figure 6: Elisa growth of automated trouble ticket handling
  • Figure 7: Tupl results for automatic customer complaints resolution AI platform
  • Figure 8: Implementing fixed policies for fault detection and resolution
  • Figure 9: Visualisation of network alert clustering tool
  • Figure 10: A self-healing network
  • Figure 11: Elisa self-optimising network results
  • Figure 12: Elisa maintained flat capex intensity throughout 4G deployment
  • Figure 13: Finland 4G network performance, August 2018
  • Figure 14: Self-organising network example use cases
  • Figure 15: Numerous applications of machine learning and AI for 5G networks
  • Figure 16: Break self-optimising networks down into mini loops
  • Figure 17: The knowledge-defined network
  • Figure 18: Facebook TCO savings over traditional multilayer planning
  • Figure 19: Telefónica image recognition for network planning
  • Figure 20: Ciena Blue Planet overview
  • Figure 21: Google SDN layers
  • Figure 22: Overview of cross-industry initiatives relating to network AI and automation
  • Figure 23: Telefónica network automation roadmap
  • Figure 24: Overview of SK Telecom Advanced Next Generation OSS (TANGO)

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The IoT money problem: 3 options

Introduction

IoT has been a hot topic since 2010, but despite countless IoT initiatives being launched questions remain about how to monetise the opportunity.

This report presents:

  • A top-level summary of our thinking on IoT so far
  • Examples of 12 IoT verticals and over 40 use-cases
  • Case-studies of four telcos’ experimentation in IoT
  • Three potential roles that could help telcos monetise IoT

Overview

In the early days of the IoT (about five years ago) cellular connectivity was expected to play a major role – Ericsson predicted 50 billion connected devices by 2020, 20 billion of which would be cellular.

However, many IoT products have evolved without cellular connectivity, and lower cost connectivity solutions – such as SIGFOX – have had a considerable impact on the market.

Ericsson now forecasts that, although the headline number of around 50 billion connected devices by 2020 will remain the same, just over 1 billion will use cellular.

Despite these changes IoT is still a significant opportunity for telcos, but they need to change their IoT strategy to become more than connectivity providers as the value of this role in the ecosystem is likely to be modest.

Mapping the IoT ecosystem

The term IoT describes a diverse ecosystem covering a wide range of different connectivity types and use-cases. Therefore, to understand IoT better it is necessary to break it down into horizontal layers and vertical segments (see Figure 1).

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners

We are seeking input from our clients to shape our IoT research and have put together a short survey asking for your thoughts on:

  • What role telcos can play in the IoT ecosystem
  • Which verticals telcos can be successful in
  • What challenges telcos facing in IoT
  • How can STL support telcos developing their IoT strategy

To thank you for your time we will send you a summary of the survey results at the end of June 2017.

…to access the other 28 pages of this 31 page Telco 2.0 Report, including…

  • Introduction
  • Mapping the IoT ecosystem
  • Overview
  • Mapping the IoT ecosystem
  • IoT: A complicated and evolving market
  • Telcos are moving beyond connectivity
  • And use cases are increasing in complexity
  • IoT verticals – different end-customers with different needs
  • 12 examples of IoT verticals
  • What connectivity should telcos provide?
  • Four examples of IoT experimentation
  • Case study 1: AT&T: Vertically-integrated ecosystem architect
  • Case study 2: Vodafone: a ‘connectivity plus’ approach
  • Case study 3: SK Telecom: ecnouraging innovation through interoperability
  • Case study 4: Deutsche Telekom AG: the open platform integrator
  • Three potential monetisation strategies
  • Ecosystem orchestrator
  • Vertical champion
  • Trust broker
  • Conclusions

…and the following figures…   

  • Figure 1: A simplified map of the IoT ecosystem
  • Figure 2: Telcos moving beyond connectivity
  • Figure 3: IoT use cases are increasing in complexity
  • Figure 4: Use cases in manufacturing
  • Figure 5: Use cases in transportation
  • Figure 6: Use cases in utilities
  • Figure 7: Use cases in surveillance
  • Figure 8: Use cases in smart cities
  • Figure 9: Use cases in health & care
  • Figure 10: Use cases in agriculture
  • Figure 11: Use cases in extractive industries
  • Figure 12: Use cases in retail
  • Figure 13: Use cases in finance
  • Figure 14: Use cases in logistics
  • Figure 15: Use cases in smart home / building
  • Figure 16: Connectivity complexity profile for pay-as-you-drive insurance and rental services
  • Figure 17: Telco opportunity for deep learning pay-as-you-drive insurance and rental services

B2B growth: How can telcos win in ICT?

Introduction

The telecom industry’s growth profile over the last few years is a sobering sight. As we have shown in our recent report Which operator growth strategies will remain viable in 2017 and beyond?, yearly revenue growth rates have been clearly slowing down globally since 2009 (see Figure 1). In three major regions (North America, Europe, Middle East) compound annual growth rates have even been behind GDP growth.

 

Figure 1: Telcos’ growth performance is flattening out (Sample of sixty-eight operators)

Source: Company accounts; STL Partners analysis

To break out of this decline telcos are constantly searching for new sources of revenue, for example, by expanding into adjacent, digital service areas which are largely placed within mass consumer markets (e.g. content, advertising, commerce).

However, in our ongoing conversations with telecoms operators, we increasingly come across the notion that a large part of future growth potential might actually lie in B2B (business-to-business) markets and that this customer segment will have an increasing impact of overall revenue growth.

This report investigates the rationale behind this thinking in detail and tries to answer the following key questions:

  1. What is the current state of telco’s B2B business?
  2. Where are the telco growth opportunities in the wider enterprise ICT arena?
  3. What makes an enterprise ICT growth strategy difficult for telcos to execute?
  4. What are the pillars of a successful strategy for future B2B growth?

 

  • Executive Summary
  • Introduction
  • Telcos may have different B2B strategies, but suffer similar problems
  • Finding growth opportunities within the wider enterprise ICT arena could help
  • Three complications for revenue growth in enterprise ICT
  • Complication 1: Despite their potential, telcos struggle to marshal their capabilities effectively
  • Complication 2: Telcos are not alone in targeting enterprise ICT for growth
  • Complication 3: Telcos’ core services are being disrupted by OTT players – this time in B2B
  • STL Partners’ recommendations: strategic pillars for future B2B growth
  • Conclusion

 

  • Figure 1: Telcos’ growth performance is flattening out (Sample of sixty-eight operators)
  • Figure 2: Telcos’ B2B businesses vary significantly by scale and performance (selected operators)
  • Figure 3: High-level structure of the telecom industry’s revenue pool (2015) – the consumer segment dominates
  • Figure 4: Orange aims to expand the share of “IT & integration services” in OBS’s revenue mix
  • Figure 5: Global enterprise ICT expenditures are projected to growth 7% p.a.
  • Figure 6: Telcos and Microsoft are moving in opposite directions
  • Figure 7: SD-WAN value chain
  • Figure 8: Within AT&T Business Solutions’ revenue mix, growth in fixed strategic services cannot yet offset the decline in legacy services

Five telcos changing culture: Lessons from neuroscience

Introduction: The role of skills and culture in telco transformation

Skills and culture are the biggest barriers to transformation

It is generally accepted that the telecoms industry is currently undergoing a major process of transformation. In very general terms, telcos are engaged in a transition from being primarily operators of physical infrastructure and networks designed for the efficient delivery of analogue voice and packet data services, to being providers of cloud-based (distributed software, IT and virtualised) infrastructure, platforms and digital services (including communications).

STL Partners has documented this sea change in numerous previous reports focusing on different aspects of the transformation: technology, processes, business models, organisation and culture. This report focuses more closely on two interrelated aspects: skills and culture.

A recent STL Partners ‘summit’ workshop of leading SE Asian operators found that skills and culture are presently seen as the greatest barriers to transformation:

Figure 1: Benefits of and obstacles to transformation

Source: STL Partners

The above chart, reporting the results of a snap survey of attendees of the SE Asia summit, could be interpreted as implying that skills and culture change are of very little direct benefit to telcos, given that only two respondents indicated that it had “the greatest value” to their organisation. But at the same time, telcos are clearly focused on addressing the skills and culture issue, as this was overwhelmingly the most salient transformation challenge that the senior operator executives picked out. And the results of this small but high-quality survey are entirely consistent with STL Partners’ findings in other parts of the world, including research conducted for this report (see Sections 2 and 3 below).

There is a chronic shortage of essential software and IT skills in the industry

Precisely why have skills and culture emerged as such a critical challenge at this time? The skills issue is easier to analyse. The new business and technology model to which operators are transforming places a much greater emphasis on software and IT skills than traditional telco operations: skills such as software development and coding; digital product development and operations (DevOps), and marketing; cloud and IT infrastructure deployment, maintenance and support; etc. There is a chronic shortage of highly-skilled people in these areas, which varies country by country but could rightly be described as a global shortage owing to the international character of the telecoms industry. It is the top talent that is needed right now given the complexity of the technological and IT challenges that are involved in the migration from the legacy Telco 1.0 to the telco-cloud service provider (Telco 2.0).

Telcos have adopted a variety of methods to try to close the skills gap. These are discussed in more detail in Sections 2 and 3 below in the context of conversations on skills and culture we have had with five operators from different parts of the world. On skills, these operators have adopted three broad approaches:

  • Aim to fulfil the skills requirements of the business from existing staff as much as possible by giving every employee the opportunity to up- and reskill (AT&T)
  • Try to meet the skills needs of the business through a combination of selective hires and retraining; but accept that a given percentage of positions in the company after the transformation phase can only be filled by new hires, and that existing staff whose functions have become redundant or who cannot adapt will need to be let go (Telkom Indonesia, Middle Eastern operator (MEO), and international enterprise networking provider (EO))
  • Accept that the business needs to transform radically and rapidly, and a relatively high percentage of people without the requisite skills or whose roles have become redundant must be let go (former developed-market incumbent (DMI))

Content:

  • Executive Summary
  • 1. Introduction: The role of skills and culture in telco transformation
  • 2. AT&T: A textbook exercise in re-skilling and culture change
  • 3. Two other models of skills development and culture change
  • 4. Conclusion: Skills are necessary but not sufficient, without culture

Figures:

  • Figure 1: Benefits of and obstacles to transformation
  • Figure 2: Old and new telco cultures and business model
  • Figure 3: MRI scans showing parts of the brain activated by social rejection and physical pain

Trump’s Impact: Global TMT Scenarios

Predictions are difficult with Trump

On Wednesday, November 9th, Donald J. Trump won the 58th US presidential election. During his campaign Mr Trump made many statements. Now that he has won, we look beyond the rhetoric and initial political shock and uncertainty at what he might actually do and how this could affect the TMT sector.

This is a difficult task because, to date, Trump has not made many detailed statements about his policies. During the campaign he made many declarations, but these will not necessarily translate into bold policy decisions. Indeed, within one week of being elected his rhetoric has become more measured and he has already changed his stance somewhat on Obamacare and immigration.

Trump is now in the process of choosing his senior advisors and cabinet, and these choices will indicate more about what his presidency will be like than his behaviour during the campaign. At the time of writing, only two senior advisors had been chosen, Reince Priebus as White House Chief of Staff and Steve Bannon as Senior Counselor to the President. Neither of these positions require Senate approval. Priebus has served as the chair of the Republican National Committee since 2011, so is a reassuring choice for establishment Republicans, but Bannon is much more controversial. Bannon was until his appointment the executive chairman of Breitbart News, a far-right website. His appointment as Senior Counselor to the President has caused dismay among liberals, but leading Republicans have declined to criticise the appointment, calling for party unity instead.

We expect that deciding Trump’s cabinet will be a difficult and turbulent process and will take some weeks to settle, as Trump will have to put some of his own views aside in order to choose a cabinet that the broader Republican party will approve. Although Trump has indicated that he will work with the party through his choice of Priebus, his choice of Bannon indicates that he is not afraid of pushing the boundaries. We therefore expect to see some more controversial choices in the next few weeks, but whether these get approved by the Senate is another matter.

From a TMT perspective, the most important appointment will be the Attorney General, which will need Senate approval. Another position of interest to the TMT sector is the chair of the Federal Trade Commission (FTC). Trump can choose a new chair of the FTC from its commissioners, who are confirmed by the Senate. Although there should be five commissioners there are currently only three, and Trump could decide to replace the current, Democrat chair with a Republican, and also nominate more Republicans as commissioners. The Attorney General and FTC roles are important because they will influence Trump’s position on data privacy and security, consumer protection, and antitrust, which are key issues for the TMT industry.

Two potential scenarios affecting five key areas for TMT

Because of the uncertainty around how Trump will behave as president, rather than try to definitively predict what he will do, STL Partners has decided to focus on five key areas for the telco industry and developed two scenarios which may play out under a Trump presidency, as outlined in the table below.

Scenario name Description
Hardline Trump leadership Trump’s leadership decisions closely match his most extreme campaign rhetoric; he leads the US into a period of right wing, isolationist politics.
Moderate Trump leadership Trump’s leadership decisions are more moderate; he listens to advice from the wider Republican party, is moderated by Congress and the Senate, and does not follow through on extreme claims, such as the wall preventing illegal Mexican immigrants reaching the US.

Source: STL Partners

We run through the five areas below, discussing what is known about Trump’s views and what might happen under each scenario, as well as highlighting our view on the most likely outcome.

 

  • Predictions are difficult with Trump
  • Two potential scenarios affecting five key areas for TMT
  • 1. Net neutrality
  • What we know of Trump’s views
  • Potential outcomes under the scenarios
  • 2. Tech companies
  • What we know of Trump’s views
  • Potential outcomes under the scenarios
  • 3. AT&T’s proposed acquisition of Time Warner
  • What we know of Trump’s views
  • Potential outcomes under the scenarios
  • 4. Security
  • What we know of Trump’s views
  • Potential outcomes under the scenarios
  • 5. Trade
  • What we know of Trump’s views
  • Potential outcomes under the scenarios
  • Conclusion

The IoT ecosystem and four leading operators’ strategies

The IoT ecosystem

The term IoT is used to describe a broad and diverse ecosystem that includes a wide range of different connectivity types and use-cases. Therefore, it is not helpful to discuss the IoT ecosystem as a whole, and to understand IoT better it is necessary to break it down into horizontal layers and vertical segments.

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners


The five horizontal layers in the figure above are essential elements common to all IoT use-cases, regardless of vertical segment, and comprise:

  1. Sensors or controllers (embedded in connected devices, the “things” in the Internet of Things)
  2. A gateway device to aggregate and transmit data back and forth via the data network.
  3. A communications network to send data.
  4. Software for analysing and translating data.
  5. The end application service.

Perhaps surprisingly we have not included ‘IoT platforms’ as a horizontal layer in its own right.  IoT platforms are designed to organise, analyse, and (in some cases) act upon the data from connected devices. Because there can be differences in platform capabilities from vendor to vendor, a platform horizontal layer has not been included in this analysis. Depending on the platform, it will be designed to deliver any combination of horizontal layers 3, 4, and 5.

Level 5 – the end application service – is where material differences exist between vertical segments. Because IoT is a young market new use-cases are still emerging and existing use-cases are still evolving. The IoT ecosystem is not static and will continue to change, grow, and develop, and could look quite different in the next ten years. However, several distinct IoT vertical markets – sometimes described as ecosystems in their own right – are already emerging. These include:

  1. Smart and connected cities.
  2. Connected vehicles.
  3. Industrial IoT (including smart manufacturing).
  4. Smart home.
  5. Smart healthcare.
  6. Smart agriculture.

Within each of these six verticals there are several use-cases, and each vertical is developing and evolving new ones all the time. Figure 2 shows examples of use-cases either currently in use or under development in each vertical.

Figure 2: IoT vertical markets and use cases

Source: STL Partners

The complexity and technical requirements of each use-case varies widely. For example, the requirements of a smart thermostat compared to those of an autonomous vehicle are distinctly different. The next section of this report will provide an overview of the different technologies enabling IoT, followed by a section providing analysis of the technological requirements of several use-cases to illustrate how the IoT ecosystem will be enabled by not just one, but several different connectivity technologies.

 

  • Executive Summary
  • Introduction
  • Methodology
  • The IoT ecosystem
  • Six key technologies enabling IoT
  • 1. Cloud computing
  • 2. Low-power wide-area technologies
  • 3. Big data analytics
  • 4. Network function virtualisation (NFV) and software-defined networking (SDN)
  • 5. 5G
  • 6. Edge computing
  • Will one connectivity technology be dominant?
  • Use-case one: Smart metering
  • Use-case two: Autonomous driving
  • Use-case three: Smart thermostat
  • Use-case four: Smart home security system
  • How will IoT use-cases evolve?
  • Telcos’ role in the IoT ecosystem
  • The IoT value chain
  • AT&T: the ambitious ecosystem orchestrator
  • Vodafone: a ‘connectivity plus’ approach
  • SK Telecom: connectivity via multiple technologies
  • Deutsche Telekom AG: the open platform integrator
  • Adapting for evolution

 

  • Figure 1: A simplified map of the IoT ecosystem
  • Figure 2: IoT vertical markets and use-cases
  • Figure 3: The role of ‘network slicing’ in IoT
  • Figure 4: The role of Edge Computing in IoT
  • Figure 5: Complexity profile criteria ratings
  • Figure 6: Smart metering complexity profile
  • Figure 7: Autonomous driving complexity profile
  • Figure 8: Smart thermostat complexity profile
  • Figure 9: Smart home security system complexity profile
  • Figure 10: IoT use-case evolution
  • Figure 11: Telco’s original role in the IoT ecosystem
  • Figure 11: Telco’s current role in the IoT ecosystem

SDN / NFV: Early Telco Leaders in the Enterprise Market

Introduction

This report builds on a number of previous analyses of the progress and impact of SDN (Software-Defined Networking) and NFV (Network Functions Virtualization), both in the enterprise market and in telecoms more generally. In particular, this briefing aims to explore in more detail the market potential and dynamics of two new SDN / NFV-based enterprise services that were discussed as part of an analysis of revenue opportunities presented by ‘telco cloud’ services.

These two services are ‘Network as a Service’ (NaaS) and ‘enterprise virtual CPE’ (vCPE). ‘Network as a Service’ refers to any service that enables enterprise customers to directly configure the parameters of their corporate network, including via a user-friendly portal or APIs. This particularly involves the facility to scale up or down the bandwidth available on network links – either on a near-real-time or scheduled basis – and to establish new network connections on demand, e.g. between business sites and / or data centers. Examples of NaaS include AT&T’s Network On Demand portfolio and Telstra’s PEN service, both of which are discussed further below.

‘Enterprise virtual CPE’, as the name suggests, involves virtualizing dedicated networking equipment sited traditionally at the enterprise premises, so as to offer equivalent functionality in the form of virtual network appliances in the cloud, delivered over COTS hardware. Virtual network functions (VNFs) offered in this form typically include routing, firewalls, VPN, WAN optimization, and others; and the benefit to telcos of offering vCPE is that it provides a platform to easily cross- and upsell additional functionality, particularly in the areas of application and network performance and security.

The abbreviation ‘vCPE’ is also used for consumer virtual CPE, which involves replacing complicated routers, TV set-top boxes and gateway equipment used in the home with simplified devices running equivalent functions from the cloud. For the purposes of this report, when we use the term ‘vCPE’, we refer to the enterprise version of the term, unless otherwise stated.

The reason why this report focuses on NaaS and vCPE is that more commercial services of these types have been launched or are planned than is the case with any other SDN / NFV-dependent enterprise service. Consequently, the business models are becoming more evident, and it is possible to make an assessment of the revenue potential of these services.

Our briefing ‘New Revenue Growth from Telco Cloud’ (published in April 2016) modeled the potential impact of SDN / NFV-based services on the revenues of a large illustrative telco with a significant presence in both fixed and mobile, and enterprise and consumer, segments in a developed market similar to the UK. This concluded that such a telco introducing all of the SDN / NFV services that are expected to become commercially mature over the period 2017 to 2021 could expect to generate a monthly revenue uplift of some X% (actual figures available in full report) by the end of 2021 compared with the base case of failing to launch any such service.

Including only revenues directly attributable to the new services (as opposed to ‘core revenues’ – e.g. from traditional voice and data services – that are boosted by reduced churn and net customer additions deriving from the new services), vCPE and NaaS represent the two largest sources of new revenue: Y and Z percentage points respectively out of the total X% net revenue increase deriving from SDN / NFV, as illustrated in Figure 1 (Figure not shown – actual figures available in full report).

Figure 1: Telco X – Net new revenue by service category (Dec 2021)

Figure not shown – available in full report

Source: STL Partners analysis

In terms of NaaS and vCPE specifically, the model assumes that Telco X will begin to roll out these services commercially in January and February 2017 respectively. This is a realistic timetable for some in our view, as several commercial NaaS and vCPE offerings have already been launched, and future launches have been announced, by telcos across North America, Europe and the Asia-Pacific region.

In the rest of this briefing, we will:

  • present the main current and planned NaaS and vCPE services
  • analyze the market opportunities and competitive threats they are responding to
  • analyze in more detail the different types and combinations of NaaS and vCPE offerings, and their business models
  • assess these services’ potential to grow telco revenues and market share
  • and review how these offerings fit within operators’ overall virtualization journeys.

We will conclude with an overall assessment of the prospects for NaaS and vCPE: the opportunities, and also the risks of inaction.

  • Executive Summary
  • Introduction
  • Current and planned NaaS and vCPE products
  • Opportunities and threats addressed by NaaS and vCPE
  • NaaS and vCPE: emerging offers and business models
  • Revenue growth potential of NaaS and vCPE
  • Relationship between SDN / NFV deployment strategy and operator type
  • Conclusion: NaaS and vCPE – a short-term window of opportunity to a long-term virtual future

 

  • Figure 1: Telco X – Net new revenue by service category (Dec 2021)
  • Figure 2: Leading current and planned commercial NaaS and vCPE services
  • Figure 3: Cumulative NaaS and vCPE launches, 2013-16
  • Figure 4: Verizon SD-WAN as part of Virtual Network Services vCPE offering
  • Figure 5: COLT’s cloud-native VPN and vCPE
  • Figure 6: Evolution of vCPE delivery modes
  • Figure 7: SD-WAN-like NaaS versus SD-WAN
  • Figure 8: Base case shows declining revenues
  • Figure 9: Telco X – Telco Cloud services increase monthly revenues by X% on the base case by Dec 2021
  • Figure 10: NaaS and vCPE deployments by operator type and overall SDN / NFV strategy
  • Figure 11: Progression from more to less hybrid deployment of NaaS and vCPE across the telco WAN

Innovation Leaders: A Surprisingly Successful Telco API Programme

Introduction

The value of APIs

Application programming interfaces (APIs) are a central part of the mobile and cloud-based app economy. On the web, APIs serve to connect back-end and front-end applications (and their data) to one another. While often treated as a technical topic, APIs also have tremendous economic value. This was illustrated very recently when Oracle sued Google for copyright infringement over the use of Oracle-owned Java APIs during the development of Google’s Android operating system. Even though Google won the case, Oracle’s quest for around $9 billion showed the huge potential value associated with widely-adopted APIs.

The API challenge facing telcos…

For telcos, APIs represent an opportunity to monetise their unique network and IT assets by making them available to third-parties. This is particularly important in the context of declining ‘core’ revenues caused by cloud and content providers bypassing telco services. This so-called “over the top” (OTT) threat forces telcos to both partner with third-parties as well as create their own competing offerings in order to dampen the decline in revenues and profits. With mobile app ecosystems maturing and, increasingly, extending beyond smartphones into wearables, cars, TVs, virtual reality, productivity devices and so forth, telcos need to embrace these developments to avoid being a ‘plain vanilla’ connectivity provider – a low-margin low-growth business.

However, thriving in this co-opetitive environment is challenging for telcos because major digital players such as Google, Amazon, Netflix and Baidu, and a raft of smaller developers have an operating model and culture of agility and fast innovation. Telcos need to become easier to collaborate with and a systematic approach to API management and API exposure should be central to any telco partnership strategy and wider ‘transformation programme’.

…and Dialog’s best-practice approach

In this report, we will analyse how Dialog, Sri Lanka’s largest operator, has adopted a two-pronged API implementation strategy. Dialog has systematically exposed APIs:

  1. Externally in order to monetise in partnership with third-parties;
  2. Internally in order to foster agile service creation and reduce operational costs.

STL Partners believes that this two-pronged strategy has been instrumental in Dialog’s API success and that other operators should explore a similar strategy when seeking to launch or expand their API activities.

Dialog Axiata has steadily increased the number of API calls (indexed)

Source: Dialog Axiata

In this report, we will first cover the core lessons that can be drawn from Dialog’s approach and success and then we will outline in detail how Dialog’s Group CIO and Axiata Digital’s CTO, Anthony Rodrigo, and his team implemented APIs within the company and, subsequently, the wider Axiata Group.

 

  • Executive summary
  • Introduction
  • The value of APIs
  • The API challenge facing telcos…
  • …and Dialog’s best-practice approach
  • 5 key ‘telco API programme’ lessons
  • Background: What are APIs and why are they relevant to telcos?
  • API basics
  • API growth
  • The telecoms industry’s API track record is underwhelming
  • The Dialog API Programme (DAP)
  • Overview
  • Ideamart: A flexible approach to long-tail developer engagement
  • Axiata MIFE – building a multipurpose API platform
  • Drinking your own champagne : Dialog’s use of APIs internally
  • Expanding MIFE across Axiata opcos and beyond
  • Conclusion and outlook

 

  • Figure 1: APIs link backend infrastructure with applications
  • Figure 2: The explosive growth of open APIs
  • Figure 3: How a REST API works its magic
  • Figure 4: DAP service layers
  • Figure 5: Five APIs are available for Idea Pro apps
  • Figure 6: Idea Apps – pre-configured API templates
  • Figure 7: Ideadroid/Apptizer allows restaurants to specify food items they want to offer through the app
  • Figure 8: Ideamart’s developer engagement stats compare favourably to AT&T, Orange, and Vodafone
  • Figure 9: Steady increase in the number of API calls (indexed)
  • Figure 10: Dialog Allapps on Android
  • Figure 11: Ideabiz API platform for enterprise third-parties
  • Figure 12: Dialog Selfcare app user interface
  • Figure 13: Dialog Selfcare app functions – share in total number of hits
  • Figure 14: Apple App Store – Dialog Selfcare app ratings
  • Figure 15: Google Play Store – Dialog Selfcare app ratings
  • Figure 16: MIFE enables the creation of a variety of digital services – both internally and externally

Telco NFV & SDN Deployment Strategies: Six Emerging Segments

Introduction

STL Partners’ previous NFV and SDN research

This report continues the analysis of three previous reports in exploring the NFV (Network Functions Virtualization) and SDN (Software Defined Networking) journeys of several major telcos worldwide, and adds insights from subsequent research and industry discussions.

The first two reports that STL Partners produced contained detailed discussion of the operators that have publicly engaged most comprehensively with NFV: Telefónica and AT&T.

Telefónica embarked on an ambitious virtualization program, dubbed ‘UNICA’, toward the start of 2014; but its progress during 2014 and 2015 was impeded by internal divisions, lack of leadership from top management, and disagreement over the fundamental technology roadmap. As a result, Telefónica has failed to put any VNFs (Virtualized Network Functions) into production; although it continues to be a major contributor to industry efforts to develop open NFV standards.

By contrast, AT&T’s virtualization program, the User-Defined Network Cloud (UDNC) – launched at the same time as Telefónica’s, in February 2014 – has already contributed to a substantial volume of live NFV deployments, including on-demand networking products for enterprise customers and virtual EPC (Enhanced Packet Core) supporting mobile data and connected car services. AT&T’s activities have been driven from board level, with a very focused vision of the overall transformation that is being attempted – organizational as much as technological – and the strategic objectives that underlie it: those of achieving the agility, scalability and cost efficiency required to compete with web-scale players in both enterprise and consumer markets.

The third report in the series – ‘7 NFV Hurdles: How DTAG, NTT, Verizon, Vodafone, Swisscom and Comcast have tackled them’  – extended the analysis to the SDN and NFV deployment efforts of several other major operators. The report arrived at a provisional model for the stages of the SDN / NFV transformation process, outlined in Figure 1 below.

Figure 1: The SDN-NFV Transformation Process

The transformation process outlined in the chart suggests that elaborating the overall SDN architecture should ideally precede the NFV process: logically if not always chronologically. This is because it is essential to have a vision of the ‘final’ destination, even if – or especially as – operators are navigating their way through a shifting myriad of technology choices, internal change programs, engagements with vendor and open-source ecosystems, priorities and opportunities for virtualization, legacy system migration models, and processes for service and business remodeling.

The focus of this report

This report re-examines some of the analysis undertaken on the players above, along with some additional players, to derive a more fine-grained understanding of the virtualization journeys of different types of telco.

We examine these journeys in relation to five dimensions and the analysis focuses on the choices operators have made in these areas, and how things have turned out so far. This, in turn, allows us to pinpoint six telco segments for SDN and NFV deployment.

There is no ‘one size fits all’ approach to SDN and NFV. However, because the operators we examine have a similar rationale for engaging in SDN- and NFV-led transformation and display sufficient commonality in their approach to deployment, STL Partners has been able to make three core best-practice implementation recommendations.

 

  • Executive summary
  • Contents
  • Introduction
  • STL Partners’ previous NFV and SDN research
  • The focus of this report
  • Virtualization journeys: 6 telco segments
  • The Story So Far: AT&T and Telefónica
  • ‘NFV Business Model Transformation Pioneers’: BT, China Mobile, NTT and Verizon
  • ‘Smart Piper Incumbent’: AT&T and Deutsche Telekom
  • ‘Fly Blind Incumbent’: Telefónica and Swisscom
  • ‘Agile Adopter’: Tele2
  • ‘Utilitarian adopters’: Vodafone and SingTel
  • ‘Cableco 2.0’: Comcast and Liberty Global
  • Conclusion and Best Practice Recommendations