Tag: business models

Four goals for the data-driven telco

Becoming a data-driven telco

There have been many case studies over the last five years demonstrating the disruption caused by “data-driven businesses”, i.e. those using insights to understand customers, automate processes, change their business models and drive new revenues. In the future, this concept will become an integral part of what it takes to compete successfully, allowing organisations to understand and run all parts of their operations, work with their customers and partners and take part in external activities in new ecosystems. This applies to telecoms operators as much as any other industry.

This research builds on a range of reports STL Partners has previously published on strategic topics related to telcos’ use of data, including:

This research turns to the practical topics of delivering on these strategic goals. The diagram below offers an overview of the drivers and barriers affecting delivery areas such as telco data management and machine learning (ML) in the short and longer term.

Drivers and barriers to being a data-driven telco

Source: STL Partners

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What capabilities should telcos develop?

Telcos are reasonably sophisticated users of data, but their particularly complex web of legacy systems requires a good deal of work around data management and governance to enable the extraction of data sets to give 360-degree view of the customer – and increasingly to provide training data for algorithms.

In the mid-term, telcos that are successful in selling IoT and becoming ecosystem players will require new A3 to deal with the increasing number of services, devices, price points and parties involved in providing service to a customer. Our research suggests that there is a range of new A3 technologies that can provide the automation and intelligence for this, as well as for the underlying data management processes.

In the longer-term, A3 will speed up decision making, impacting company strategy, new product and service creation, and customer experience. Humans will increasingly be supported by AI-, ML- and automation-powered tools in their decision-making. A similar progression will occur among competitors in telecoms, and in adjacent markets, increasing the complexity and speed of doing business. Besides integrating A3 into human workflows, working at increasing speed will depend on getting richer insights out of the available data with techniques such as small data and creation of synthetic data.

Capabilities for a data-driven telco

Source: STL Partners

 

Table of contents

  • Executive Summary
    • Capabilities telcos should develop over the medium term
    • What will telcos focus on in the mid-term?
    • Next steps
  • Becoming a data-driven telco
    • Short term drivers
    • Barriers in the short term
    • Long term drivers
    • Barriers in the long term
  • Availability of data
    • Use of data fabrics
    • Better data labelling
    • Rise of synthetic data
    • More intelligent data selection
    • Telco strategies for cloud usage
  • Equipping people
    • Augmented analytics and business intelligence
    • Decision intelligence
  • Work on governance
    • Governance across the telco
    • Agility in governance
    • Governance for AI and machine learning
    • Ethical governance
    • Improved measurement of governance
    • Governance in ecosystems
  • Index

Why and how to go telco cloud native: AT&T, DISH and Rakuten

The telco business is being disaggregated

Telcos are facing a situation in which the elements that have traditionally made up and produced their core business are being ‘disaggregated’: broken up into their component parts and recombined in different ways, while some of the elements of the telco business are increasingly being provided by players from other industry verticals.

By the same token, telcos face the pressure – and the opportunity – to combine connectivity with other capabilities as part of new vertical-specific offerings.

Telco disaggregation primarily affects three interrelated aspects of the telco business:

  1. Technology:
    • ‘Vertical’ disaggregation: separating out of network functions previously delivered by dedicated, physical equipment into software running on commodity computing hardware (NFV, virtualisation)
    • ‘Horizontal’ disaggregation: breaking up of network functions themselves into their component parts – at both the software and hardware levels; and re-engineering, recombining and redistributing of those component parts (geographically and architecturally) to meet the needs of new use cases. In respect of software, this typically involves cloud-native network functions (CNFs) and containerisation
    • Open RAN is an example of both types of disaggregation: vertical disaggregation through separation of baseband processing software and hardware; and horizontal disaggregation by breaking out the baseband function into centralised and distributed units (CU and DU), along with a separate, programmable controller (RAN Intelligent Controller, or RIC), where all of these can in theory be provided by different vendors, and interface with radios that can also be provided by third-party vendors.
  2. Organisational structure and operating model: Breaking up of organisational hierarchies, departmental siloes, and waterfall development processes focused on the core connectivity business. As telcos face the need to develop new vertical- and client-specific services and use cases beyond the increasingly commoditised, low-margin connectivity business, these structures are being – or need to be – replaced by more multi-disciplinary teams taking end-to-end responsibility for product development and operations (e.g. DevOps), go-to-market, profitability, and technology.

Transformation from the vertical telco to the disaggregated telco

3. Value chain and business model: Breaking up of the traditional model whereby telcos owned – or at least had end-to-end operational oversight over – . This is not to deny that telcos have always relied on third party-owned or outsourced infrastructure and services, such as wholesale networks, interconnect services or vendor outsourcing. However, these discrete elements have always been welded into an end-to-end, network-based services offering under the auspices of the telco’s BSS and OSS. These ensured that the telco took overall responsibility for end-to-end service design, delivery, assurance and billing.

    • The theory behind this traditional model is that all the customer’s connectivity needs should be met by leveraging the end-to-end telco network / service offering. In practice, the end-to-end characteristics have not always been fully controlled or owned by the service provider.
    • In the new, further disaggregated value chain, different parts of the now more software-, IT- and cloud-based technology stack are increasingly provided by other types of player, including from other industry verticals. Telcos must compete to play within these new markets, and have no automatic right to deliver even just the connectivity elements.

All of these aspects of disaggregation can be seen as manifestations of a fundamental shift where telecoms is evolving from a utility communications and connectivity business to a component of distributed computing. The core business of telecoms is becoming the processing and delivery of distributed computing workloads, and the enablement of ubiquitous computing.

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Telco disaggregation is a by-product of computerisation

Telco industry disaggregation is part of a broader evolution in the domains of technology, business, the economy, and society. This evolution comprises ‘computerisation’. Computing analyses and breaks up material processes and systems into a set of logical and functional sub-components, enabling processes and products to be re-engineered, optimised, recombined in different ways, managed, and executed more efficiently and automatically.

In essence, ‘telco disaggregation’ is a term that describes a moment in time at which telecoms technology, organisations, value chains and processes are being broken up into their component parts and re-engineered, under the impact of computerisation and its synonyms: digitisation, softwarisation, virtualisation and cloud.

This is part of a new wave of societal computerisation / digitisation, which at STL Partners we call the Coordination Age. At a high level, this can be described as ‘cross-domain computerisation’: separating out processes, services and functions from multiple areas of technology, the economy and society – and optimising, recombining and automating them (i.e. coordinating them), so that they can better deliver on social, economic and environmental needs and goals. In other words, this enables scarce resources to be used more efficiently and sustainably in pursuit of individual and social needs.

NFV has computerised the network; telco cloud native subordinates it to computing

In respect of the telecoms industry in particular, one could argue that the first wave of virtualisation (NFV and SDN), which unfolded during the 2010s, represented the computerisation and digitisation of telecoms networking. The focus of this was internal to the telecoms industry in the first instance, rather than connected to other social and technology domains and goals. It was about taking legacy, physical networking processes and functions, and redesigning and reimplementing them in software.

Then, the second wave of virtualisation (cloud-native – which is happening now) is what enables telecoms networking to play a part in the second wave of societal computerisation more broadly (the Coordination Age). This is because the different layers and elements of telecoms networks (services, network functions and infrastructure) are redefined, instantiated in software, broken up into their component parts, redistributed (logically and physically), and reassembled as a function of an increasing variety of cross-domain and cross-vertical use cases that are enabled and delivered, ultimately, by computerisation. Telecoms is disaggregated by, subordinated to, and defined and controlled by computing.

In summary, we can say that telecoms networks and operations are going through disaggregation now because this forms part of a broader societal transformation in which physical processes, functions and systems are being brought under the control of computing / IT, in pursuit of broader human, societal, economic and environmental goals.

In practice, this also means that telcos are facing increasing competition from many new types of actor, such as:

  • Computing, IT and cloud players
  • More specialist and agile networking providers
  • And vertical-market actors – delivering connectivity in support of vertical-specific, Coordination Age use cases.

 

Table of contents

  • Executive Summary
    • Three critical success factors for Coordination Age telcos
    • What capabilities will remain distinctively ‘telco’?
    • Our take on three pioneering cloud-native telcos
  • Introduction
    • The telco business is being disaggregated
    • Telco disaggregation is a by-product of computerisation
  • The disaggregated telco landscape: Where’s the value for telcos?
    • Is there anything left that is distinctively ‘telco’?
    • The ‘core’ telecoms business has evolved from delivering ubiquitous communications to enabling ubiquitous computing
    • Six telco-specific roles for telecoms remain in play
  • Radical telco disaggregation in action: AT&T, DISH and Rakuten
    • Servco, netco or infraco – or a patchwork of all three?
    • AT&T Network Cloud sell-off: Desperation or strategic acuity?
    • DISH Networks: Building the hyperscale network
    • Rakuten Mobile: Ecommerce platform turned cloud-native telco, turned telco cloud platform provider
  • Conclusion

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The $300bn COVID digital health dividend

This report introduces a new sizing model for digital healthcare that reflects the recent impact of the COVID pandemic on the sector, with the goal of identifying the new opportunities and risks presented to operators and others attempting or considering investment in the market. A key finding is that market development has been accelerated four years ahead of its prior trajectory, meaning that players should significantly reassess the urgency and scale of their strategic application.

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Why healthcare?

STL Partners has long argued that if telecoms operators want to build new businesses beyond connectivity, they will need 1) clarity on which customer needs to address and 2) long term commitment to investment and innovation to address them. Adding value farther up the value chain requires significant new skills and capabilities, so we believe telecoms operators must be deliberate in their choice of which customers they want to serve, i.e. which verticals, and what they want to do for them. For more detail, see STL Partners’ report How mobile operators can build winning 5G business models.

We believe that healthcare is a vertical that is well suited to telecoms operators’ strategic scope:

  • Healthcare is a consistently growing need in every country in the world
  • It is a big sector that can truly move the needle on telcos’ revenues, accounting for nearly 10% of GDP globally in 2018, up from 8.6% of GDP in 2000 according to WHO data
  • It operates within national economies of scale (even if the technology is global, implementation of that technology requires local knowledge and relationships)
  • The sector has historically been slower than others in its adoption of new technologies, partly due to quality and regulatory demands, factors that telcos are used to dealing with
  • Improving healthcare outcomes is meaningful work that all employees and stakeholders can relate to.

Many telcos also believe that healthcare is a vertical with significant opportunity, as demonstrated by operators’ such as TELUS and Telstra’s big investments into building health IT businesses, and smaller but ongoing efforts from many others. See STL Partners’ report How to crack the healthcare opportunity for profiles of nine telecoms operators’ strategies in the healthcare vertical.

Our research into the telecoms industry’s investment priorities in 2021 shows that the accelerated uptake of digital health solutions throughout the COVID pandemic has only shifted health further up the priority list for operators.

Figure 1: Digital health is among telcos’ top investment priorities in 2021

digital health telecoms priority

Source: STL Partners, Telecoms priorities: Ready for the crunch?

However, few operators have put their full effort into driving the transformation of healthcare delivery and outcomes through digital solutions. From our conversations with operators around the world, we believe this is in large because they are not yet fully convinced that addressing the challenges associated with transforming healthcare – fragmented and complex systems, slow moving public processes, impact on human lives – will pay off. Are they capable of solving these challenges, and is the business opportunity big enough to justify the risk?

Taking a cautious “wait and see” approach to developing a digital health business, launching a couple of trials or PoCs and seeing if they deliver value, or investing in a digital health start-up or two, may have been a viable approach for operators before the COVID pandemic hit, but with the acceleration in digital health adoption this is no longer the case. Now that COVID has forced healthcare providers and patients to embrace new technologies, the proof points and business cases the industry has been demanding have become a lot clearer. As a result, the digital health market is now four years ahead of where it was at the beginning of 2020, so operators seeking to build a business in healthcare should commit now while momentum and appetite for change is strong.

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How is COVID changing healthcare delivery?

The first and most significantly affected area of the digital health landscape throughout 2020 was virtual consultations and telehealth, where almost overnight doctors shifted as many appointments on to phone or video calls as possible. For example, in the UK the proportion of doctor’s visits happening over the phone or video rose from around 13% in late 2019 to 48% at the peak of the pandemic in April-June 2020, while US based virtual consultation provider Teladoc’s total visits tripled between Q219 and Q220, to 2.8mn.

By necessity, regulatory barriers to adoption of virtual consultations were lowered. Other barriers, such as insurers or governments not reimbursing or underpaying doctors for virtual appointments, and organisational and culture barriers among both patients and providers also broke down. The knock on effect has been acceleration across the broader digital health market, in areas such as remote patient monitoring and population level analytics. (See more on the immediate impact of COVID on digital health in STL article How COVID-19 is changing digital health – and what it means for telcos)

The key question is how much of an impact has COVID had, and will it last over the long term? This is what we aim to answer in this report and the accompanying global database tool. Key questions we address in this analysis are:

  • How much has COVID accelerated adoption of digital health applications?
  • What are the cost savings from accelerated uptake of digital health following COVID?
  • Which digital health application areas have been most affected by COVID?
  • Beyond the COVID impact, what is the total potential value of digital health applications for healthcare providers?
  • Which digital health application areas will deliver the biggest cost savings, globally and within specific markets?

To answer these questions we have built a bottom-up forecast model with a focus on the application areas we believe are most relevant to telecoms operators, as illustrated in Figure 2.

Figure 2: Five digital health application areas for telcos

5 digital health application areas

Source: STL Partners

We believe these are most relevant because their high dependence on connectivity, and needs for significant coordination and engagement with a broad range of local stakeholders to succeed, are well aligned with telecoms operators assets. See this STL Partners article for more detail on why these application areas are good entry points for telecoms operators.

NB We chose to omit the Personal health and wellness application area from our bottom-up model. It is a more generic and global application area than the others, dominated by players such as Google/Fitbit and Apple and with little integration thus far into formal healthcare services. While it is nonetheless an area of interest for telecoms operators, especially those that are seeking to build deeper relationships directly with consumers, it is a difficult entry point for telecoms operators seeking to build a healthcare business. This global and consumer focused nature of this application area also means that it is difficult to find reliable local data and quantify its value for healthcare systems.

What are these forecasts for?

Telecoms operators and others should use this forecast analysis to understand the potential value of digital health, including:

  • The size of the digital health opportunity in different markets
  • The market size for new applications across the four areas we modelled (remote patient monitoring, virtual care and telehealth, diagnostics and triage, data and analytics)
  • The relative size of the opportunities across the four application areas in different countries
  • The pace of digital health adoption and market growth in different countries and application areas

In other words, it shows how big the overall digital health market is, how fast it is growing, and which application areas are most valuable and/or growing fastest.

In a follow-up report, we will expand on this analysis to assess how much of this value telecoms operators specifically can capture.

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Commerce and connectivity: A match made in heaven?

Rakuten and Reliance: The exceptions or the rule?

Over the past decade, STL Partners has analysed how connectivity, commerce and content have become increasingly interdependent – as both shopping and entertainment go digital, telecoms networks have become key distribution channels for all kinds of consumer businesses. Equally, the growing availability of digital commerce and content are driving demand for connectivity both inside and outside the home.

To date, the top tier of consumer Internet players – Google, Apple, Amazon, Alibaba, Tencent and Facebook – have tended to focus on trying to dominate commerce and content, largely leaving the provision of connectivity to the conventional telecoms sector. But now some major players in the commerce market, such as Rakuten in Japan and Reliance in India, are pushing into connectivity, as well as content.

This report considers whether Rakuten’s and Reliance’s efforts to combine content, commerce and connectivity into a single package is a harbinger of things to come or the exceptions that will prove the longstanding rule that telecoms is a distinct activity with few synergies with adjacent sectors. The provision of connectivity has generally been regarded as a horizontal enabler for other forms of economic activity, rather than part of a vertically-integrated service stack.

This report also explores the extent to which new technologies, such as cloud-native networks and open radio access networks, and an increase in licence-exempt spectrum, are making it easier for companies in adjacent sectors to provide connectivity. Two chapters cover Google and Amazon’s connectivity strategies respectively, analysing the moves they have made to date and what they may do in future. The final section of this report draws some conclusions and then considers the implications for telcos.

This report builds on earlier STL Partners research, including:

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Mixing commerce and connectivity

Over the past decade, the smartphone has become an everyday shopping tool for billions of people, particularly in Asia. As a result, the smartphone display has become an important piece of real estate for the global players competing for supremacy in the digital commerce market. That real estate can be accessed via a number of avenues – through the handset’s operating system, a web browser, mobile app stores or through the connectivity layer itself.

As Google and Apple exercise a high degree of control over smartphone operating systems, popular web browsers and mobile app stores, other big digital commerce players, such as Amazon, Facebook and Walmart, risk being marginalised. One way to avoid that fate may be to play a bigger role in the provision of wireless connectivity as Reliance Industries is doing in India and Rakuten is doing in Japan.

For telcos, this is potentially a worrisome prospect. By rolling out its own greenfield mobile network, e-commerce, and financial services platform Rakuten has brought disruption and low prices to Japan’s mobile connectivity market, putting pressure on the incumbent operators. There is a clear danger that digital commerce platforms use the provision of mobile connectivity as a loss leader to drive to traffic to their other services.

Table of Contents

  • Executive Summary
  • Introduction
  • Mixing connectivity and commerce
    • Why Rakuten became a mobile network operator
    • Will Rakuten succeed in connectivity?
    • Why hasn’t Rakuten Mobile broken through?
    • Borrowing from the Amazon playbook
    • How will the hyperscalers react?
  • New technologies, new opportunities
    • Capacity expansion
    • Unlicensed and shared spectrum
    • Cloud-native networks and Open RAN attract new suppliers
    • Reprogrammable SIM cards
  • Google: Knee deep in connectivity waters
    • Google Fiber and Fi maintain a holding pattern
    • Google ramps up and ramps down public Wi-Fi
    • Google moves closer to (some) telcos
    • Google Cloud targets telcos
    • Big commitment to submarine/long distance infrastructure
    • Key takeaways: Vertical optimisation not integration
  • Amazon: A toe in the water
    • Amazon Sidewalk
    • Amazon and CBRS
    • Amazon’s long distance infrastructure
    • Takeaways: Control over connectivity has its attractions
  • Conclusions and implications for telcos in digital commerce/content
  • Index

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How mobile operators can build winning 5G business models

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STL Partners has long believed that telecoms operators need to and can do more to add value to their consumer and enterprise customers and to society more generally. For the telecoms industry, the need to do more is illustrated by flat or declining revenues and rising capital expenditure and debt levels. The opportunity for telecoms to add more value is also clear. The demands of society now call for greater coordination between all players and new technology – 5G, analytics, AI, automation, cloud – is now spawning the Coordination Age.

Figure 1: The Coordination Age – new paradigm, new telco purposeThe coordination age overview

Source: STL Partners

Operators have the credibility, skills and relationships to contribute more in the Coordination Age. But the opportunity will not drop into their laps. Improved networks are not, of themselves, the driver of new value: it accrues to the provider of services that run on the network and it is up to operators to develop platforms and services that exploit ubiquitous, high-bandwidth connectivity.

So far, operators have found moving beyond connectivity challenging. There are a handful of success stories; most attempts to develop vertical solutions have failed to move the needle. In this report, we draw on successes and failures from within and outside telecoms to outline 8 core guiding principles for ambitious leaders within the telecoms industry who are determined to help their organisations to deliver more than connectivity.

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5G: A catalyst for change

In some ways, the challenge/opportunity for mobile operators has been present for the last 5-10 years: limited incremental revenue growth in voice, messaging, and data.

However, 5G is a catalyst for real change. There are internal pressures from the investments being made that mean operators must create new revenue streams. More positive reasons relate to increased demand for telco-driven services and the technological changes that telcos have implemented which will help the commercial side to adapt. Below are some of the main reasons why 5G has created a resurgent need to change business models.

  1. Making returns on network investments: It’s a given that 5G cannot be delivered without significant investment by the operators: be it in spectrum acquisition, upgrading the RAN and core network, managing a more distributed architecture of small cells, etc. Telcos can focus on ensuring that network runs efficiently to maintain margins, however many will need to look to new services. Data usage will surge, but the price customers will pay for each gigabyte will decline at a disproportionate rate.
  2. Building on telco cloud and edge computing platforms: Telcos have started to invest in developing their networks to become more like the cloud platforms that underpin the large cloud providers’ services. In fact, it’s a key part of the 5G core. Part of this has been the move towards SDN, network virtualisation and integrating edge computing. This flexible platform will allow telcos to innovate quickly and create new differentiated services on top if they have the desire to change their financial and operational models.
  3. Unlocking an enterprise business: Before 5G, mobile operators’ enterprise businesses have involved selling SIMs to enterprise customers with some forays into value-added services, such as cloud storage, mobile device management and M2M communications. Enterprises are genuinely interested in 5G and the capabilities it brings. For some, 5G has become an umbrella term for technological innovation. This is a good thing for the mobile industry, as it means enterprises will open doors to telcos and be keen to engage them for new solutions.
  4. Creating business value: 5G’s unique capabilities will enable use cases that solve real problems, particularly in industrial transformation. This last point is exemplified by research STL Partners previously conducted on the business value 5G brings to certain verticals by enhancing productivity, increasing output, creating efficiencies, etc. However, much of this value is extracted by the applications, solutions and services on top of the underlying network.

Figure 2: 5G enabled use cases could increase GDP by $1.5 trillion by 2030

Source: STL Partners

Table of Contents

  • Executive Summary
  • Introduction
  • 5G: A catalyst for chang
  • Guiding principles for mobile operators seeking to move beyond connectivity
    1. Select priority verticals and how you will compete in the them
    2. Adopt a new approach to resource allocation: less CapEx and more OpEx
    3. Material OpEx should focus on building new skills, assets, capabilities, relationships
    4. Establish senior management commitment and independence for the new venture
    5. Focus on commercial as well as technological differentiation in order to disrupt verticals
    6. De-emphasise network integration – at least to start with
    7. Recognise that M&A will be needed for market entry in most cases
    8. Realise that organic growth can work in exceptional operator or market circumstances
  • Conclusion

 

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Reliance Unlimit: How to build a successful IoT ecosystem

Reliance Unlimit’s success so far

Unlimit, Reliance Jio’s standalone IoT business in India, established in 2016, understood from the start that the problem with the IoT wasn’t the availability of technology, but how to quickly pull it all together into a clear, affordable solutions for the end customer. The result is that less than four years later, it has deployed more than 35,000 end-to-end IoT projects for a prestigious portfolio of customers, including Nissan Motor, MG Motor, Bata, DHL, GSK and Unilever. To meet their varying and evolving needs, Unlimit had built a IoT ecosystem of almost 600 partner companies by the end of 2019. Of these, nearly 100 are fully certified partners, with which Unlimit co-innovates solutions tailored to the Indian market.

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The state of the IoT: Balancing cost and complexity

In 1968, Theodore Paraskevakos, a Greek American inventor and businessman, explored the idea of making two machines communicate to each other. He first developed a system for transmitting the caller’s number to the receiver’s device. Building on this experiment, in 1977 he founded Metretek Inc, a company that conducted commercial automatic meter reading, which is essentially today’s commercial smart meter. From then, the world of machine to machine communications (M2M) developed rapidly. The objective was mainly to remotely monitor devices in order to understand conditions and performance. The M2M world was strongly telecommunications-oriented and focused on solving specific business problems. Given this narrow focus, there was little diversity in devices, data sets were specific to one or two measurements, and the communications protocols were well known. Given this context, it is fair to describe first-generation M2M solutions as a siloed, with little – if any – interaction with other data and solutions.

The benefits and challenges of the IoT

The purpose of the Internet of Things (IoT) is to open those silos and incorporate solution designers and developers into the operating environment. In this evolved environment, there might be several applications and solutions, each delivering a unique operational benefit. Each of those solutions require different devices, which produce different data. And those devices require life cycle management, the data needs to be analysed to inform better decisions, and automation integrated to improve efficiency in the operational environment. The communication methods between those devices can also vary significantly, depending on the environment, where the data is, and the type of applications and intelligence required. Finally, all this needs to run securely.

Therefore, the IoT has opened the silos, but it has brought complexity. The question is then whether this complexity is worth it for the operational benefits.

There are several studies highlighting the advantages of IoT solutions. The recent Microsoft IoT Signals publication, which surveys over 3000 decision makers in companies operating across different sectors, clearly demonstrates the value that IoT is bringing to organisations. The top three benefits are:

  • 91% of respondents claim that the IoT has increased efficiency
  • 91% of respondents claim that the IoT has increased yield
  • 85% of respondents claim that the IoT has increased quality.

The sectors leading IoT adoption

The same study highlights how these benefits are materialising in different business sectors. According to this study – and many others – manufacturing is seen as a top adopter of IoT solutions, as also highlighted in STL Partners research on the Industrial IoT.

Automotive, supply chain and logistics are other sectors that have widely adopted the IoT. Their leadership comes from a long M2M heritage, since telematics was a core application of M2M, and is an important part of the supply chain and logistics process.

The automotive sector’s early adoption of IoT was also driven by regulatory initiatives in different parts of the world, for instance to support remotely monitored emergency services in case of accidents (e.g. EU eCall). To enable this, M2M SIMs were embedded in cars, and only activated in the case of an accident, sending a message to an emergency centre. From there, the automotive industry and mobile network operators gradually developed a broader range of applications, culminating in the concept of connected cars. The connected car is much more sophisticated than a single emergency SIM – it is an IoT environment in which an array of sensors is gathering different data, sharing that data externally in various forms of V2X settings, supporting in-vehicle infotainment, and also enabling semiautonomous mobility. Sometime in the future, this will mature into fully autonomous mobility.

The complexity of an IoT solution

The connected car clearly represents the evolution from siloed M2M solutions to the IoT with multiple interdependent data sources and solutions. Achieving this has required the integration of various technologies into an IoT architecture, as well as the move towards automation and prediction of events, which requires embedding advanced analytics and AI technology frameworks into the IoT stack.

High level view of an IoT architecture

Overview of IoT architecture

Source: Saverio Romeo, STL Partners

There are five levels on an IoT architecture:

  1. The hardware level includes devices, sensors, gateways and hardware development components such as microcontrollers.
  2. The communication level includes the different types of IoT connectivity (cellular, LP-WAN, fixed, satellite, short-range wireless and others) and the communication protocols used in those forms of connectivity.
  3. The middleware software backend level is a set of software layers that are traditionally called an IoT platform. A high-level breakdown of the IoT platform includes a connectivity management layer, a device management layer, and data management and orchestration, data analytics and visualisations layers.
  4. The application level includes application development enablement tools and the applications themselves. Those tools enable the development of applications using machine-generated data and various other sources of data –all integrated by the IoT platform. It also includes applications that use results of these analytics to enable remote and automated actions on IoT devices.
  5. Vertically across these levels, there is a security layer. Although this is simplified into a single vertical layer, in practice there are separate security features integrated into IoT solutions at each layer of the architecture. Those features work together to offer layer-to-layer and end-to-end security. This is a complex process that required a detailed use of security-by-design methodology.

The IoT architecture is therefore composed of different technological parts that need to be integrated in order to work correctly in the different circumstances of potential deployment. The IoT architecture also needs to enable scalability supporting the expansion of a solution in terms of number of devices and volume and types of data. Each architectural layer is essential for the IoT solution to work, and they must interact with each other harmoniously, but each requires different technological expertise and skills.

An organisation that wants to offer end-to-end IoT solutions must therefore make a strategic choice between “in-house” IoT architecture development, or form strategic partnerships with existing IoT technology platform providers, and integrate their solutions into a coherent architecture to support an IoT ecosystem.

In the following sections of this report, we discuss Unlimit’s decision to take an ecosystem approach to building its IoT business, and the steps it took to get where it is today.

Table of contents

  • Executive Summary
    • Four lessons from Unlimit on building IoT ecosystems
    • How Unlimit built a successful IoT ecosystem
    • What next?
  • The state of the IoT: Balancing cost and complexity
    • The benefits and challenges of the IoT
    • The sectors leading IoT adoption
    • The complexity of an IoT solution
    • The nature of business ecosystems
  • How Unlimit built a successful IoT business
    • So far, Unlimit looks like a success
    • How will Unlimit sustain leadership and growth?
  • Lessons from Unlimit’s experience

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5G: Bridging hype, reality and future promises

The 5G situation seems paradoxical

People in China and South Korea are buying 5G phones by the million, far more than initially expected, yet many western telcos are moving cautiously. Will your company also find demand? What’s the smart strategy while uncertainty remains? What actions are needed to lead in the 5G era? What questions must be answered?

New data requires new thinking. STL Partners 5G strategies: Lessons from the early movers presented the situation in late 2019, and in What will make or break 5G growth? we outlined the key drivers and inhibitors for 5G growth. This follow on report addresses what needs to happen next.

The report is informed by talks with executives of over three dozen companies and email contacts with many more, including 21 of the first 24 telcos who have deployed. This report covers considerations for the next three years (2020–2023) based on what we know today.

“Seize the 5G opportunity” says Ke Ruiwen, Chairman, China Telecom, and Chinese reports claimed 14 million sales by the end of 2019. Korea announced two million subscribers in July 2019 and by December 2019 approached five million. By early 2020, The Korean carriers were confident 30% of the market will be using 5G by the end of 2020. In the US, Verizon is selling 5G phones even in areas without 5G services,  With nine phone makers looking for market share, the price in China is US$285–$500 and falling, so the handset price barrier seems to be coming down fast.

Yet in many other markets, operators progress is significantly more tentative. So what is going on, and what should you do about it?

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5G technology works OK

22 of the first 24 operators to deploy are using mid-band radio frequencies.

Vodafone UK claims “5G will work at average speeds of 150–200 Mbps.” Speeds are typically 100 to 500 Mbps, rarely a gigabit. Latency is about 30 milliseconds, only about a third better than decent 4G. Mid-band reach is excellent. Sprint has demonstrated that simply upgrading existing base stations can provide substantial coverage.

5G has a draft business case now: people want to buy 5G phones. New use cases are mostly years away but the prospect of better mobile broadband is winning customers. The costs of radios, backhaul, and core are falling as five system vendors – Ericsson, Huawei, Nokia, Samsung, and ZTE – fight for market share. They’ve shipped over 600,000 radios. Many newcomers are gaining traction, for example Altiostar won a large contract from Rakuten and Mavenir is in trials with DT.

The high cost of 5G networks is an outdated myth. DT, Orange, Verizon, and AT&T are building 5G while cutting or keeping capex flat. Sprint’s results suggest a smart build can quickly reach half the country without a large increase in capital spending. Instead, the issue for operators is that it requires new spending with uncertain returns.

The technology works, mostly. Mid-band is performing as expected, with typical speeds of 100–500Mbps outdoors, though indoor performance is less clear yet. mmWave indoor is badly degraded. Some SDN, NFV, and other tools for automation have reached the field. However, 5G upstream is in limited use. Many carriers are combining 5G downstream with 4G upstream for now. However, each base station currently requires much more power than 4G bases, which leads to high opex. Dynamic spectrum sharing, which allows 5G to share unneeded 4G spectrum, is still in test. Many features of SDN and NFV are not yet ready.

So what should companies do? The next sections review go-to-market lessons, status on forward-looking applications, and technical considerations.

Early go-to-market lessons

Don’t oversell 5G

The continuing publicity for 5G is proving powerful, but variable. Because some customers are already convinced they want 5G, marketing and advertising do not always need to emphasise the value of 5G. For those customers, make clear why your company’s offering is the best compared to rivals’. However, the draw of 5G is not universal. Many remain sceptical, especially if their past experience with 4G has been lacklustre. They – and also a minority swayed by alarmist anti-5G rhetoric – will need far more nuanced and persuasive marketing.

Operators should be wary of overclaiming. 5G speed, although impressive, currently has few practical applications that don’t already work well over decent 4G. Fixed home broadband is a possible exception here. As the objective advantages of 5G in the near future are likely to be limited, operators should not hype features that are unrealistic today, no matter how glamorous. If you don’t have concrete selling propositions, do image advertising or use happy customer testimonials.

Table of Contents

  • Executive Summary
  • Introduction
    • 5G technology works OK
  • Early go-to-market lessons
    • Don’t oversell 5G
    • Price to match the experience
    • Deliver a valuable product
    • Concerns about new competition
    • Prepare for possible demand increases
    • The interdependencies of edge and 5G
  • Potential new applications
    • Large now and likely to grow in the 5G era
    • Near-term applications with possible major impact for 5G
    • Mid- and long-term 5G demand drivers
  • Technology choices, in summary
    • Backhaul and transport networks
    • When will 5G SA cores be needed (or available)?
    • 5G security? Nothing is perfect
    • Telco cloud: NFV, SDN, cloud native cores, and beyond
    • AI and automation in 5G
    • Power and heat

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Cloud gaming: New opportunities for telcos?

Gaming is following video to the cloud

Cloud gaming services enable consumers to play video games using any device with a screen and an Internet connection – the software and hardware required to play the game are all hosted on remote cloud services. Some reviewers say connectivity and cloud technologies have now advanced to a point where cloud gaming can begin to rival the experience offered by leading consoles, such as Microsoft’s Xbox and Sony’s PlayStation, while delivering greater interactivity and flexibility than gaming that relies on local hardware. Google believes it is now feasible to move gaming completely into the cloud – it has just launched its Stadia cloud gaming service. Although Microsoft is sounding a more cautious note, it is gearing up to launch a rival cloud gaming proposition called xCloud.

This report explores cloud gaming and models the size of the potential market, including the scale of the opportunity for telcos. It also considers the potential ramifications for telecoms networks. If Stadia, xCloud and other cloud gaming services take off, consumer demand for high-bandwidth, low latency connectivity could soar. At the same time, cloud gaming could also provide a key test of the business rationale for edge computing, which involves the deployment of compute power and data storage closer to the end users of digital content and applications. This allows the associated data to be processed, analysed and acted on locally, instead of being transmitted long distances to be processed at central data centres.

This report then goes on to outline the rollout of cloud gaming services by various telcos, including Deutsche Telekom in Germany and Sunrise in Switzerland, while also considering Apple’s strategy in this space. Finally, the conclusions section summarises how telcos around the world should be preparing for mass-market cloud gaming.

This report builds on previous executive briefings published by STL Partners, including:

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What is cloud gaming?

Up to now, keen gamers have generally bought a dedicated console, such as a Microsoft Xbox or Sony PlayStation, or a high-end computer, to play technically complex and graphically rich games. They also typically buy a physical copy of the game (a DVD), which they install on their console or in an optical disc drive attached to their PC. Alternatively, some platforms, such as Steam, allow gamers to download games from a marketplace.

Cloud gaming changes that paradigm by running the games on remote hardware in the cloud, with the video and audio then streamed to the consumer’s device, which could be a smartphone, a connected TV, a low-end PC or a tablet. The player would typically connect this device to a dedicated handheld controller, similar to one that they would use with an Xbox or a PlayStation.

There is also a half-way house between full cloud gaming and console gaming. This “lite” form of cloud gaming is sometimes known as “command streaming”. In this case, the game logic and graphics commands are processed in the cloud, but the graphics rendering happens locally on the device. This approach lowers the amount of bandwidth required (sending commands requires less bandwidth than sending video) and is less demanding from a latency perspective (no encoding/ decoding of the video stream). But the quality of graphics will be limited to the capabilities of the graphic processing unit on the end-user’s device. For keen players that want to play graphically rich games, command streaming wouldn’t necessarily eliminate the need to buy a console or a powerful PC.

As well as relocating and rejigging the computing permutations, cloud gaming opens up new business models. Rather than buying individual games, for example, the consumer could pay for a Netflix-style subscription service that would enable them to play a wide range of online video games, without having to download them. Alternatively, cloud gaming services could use a pay-as-you-go model, simply charging consumers by the minute or hour.

Today, these cloud gaming subscriptions can be relatively expensive. For example, Shadow, an existing cloud gaming service charges US$35 a month in the U.S., £32 a month in the U.K. and €40 a month in France and Germany (but there are significant discounts if the subscriber commits to 12 months). Shadow can support graphics resolution of 4K at 60 frames per second and conventional HD at 144 frames per second, which is superior to a typical console specification. It requires an Internet connection of at least 15 Mbps. Shadow is compatible with Windows 7/8/10, macOS, Android, Linux (beta), iOS (beta) and comes with a Windows 10 license, which can be used for other PC applications.

At those prices, Shadow is a niche offering. But Google is now looking to take cloud gaming mainstream by setting subscription charges at around US$10 a month – comparable to a Spotify or Netflix subscription, although the user will have to pay additional fees to buy most games. Google says its new Stadia cloud gaming service is accessible from any device that can run YouTube in HD at 30/60 frames per second (fps), as long as it has a fast enough connection (15–25Mbps). The consumer then uses a dedicated controller that can connect directly to their Wi-Fi, bypassing the device with the screen. All the processing is done in Google’s cloud, which then sends a YouTube video-stream to the device: the URL pinpoints which clip of the gameplay to request and receive.

In other words, Stadia will treat games as personalised YouTube video clips/web-pages that a player or viewer can interact with in real time. As a result, the gamer can share that stream easily with friends by sending them the URL. With permission from the gamer, the friend could then jump straight into the gameplay using their own device.

What is cloud gaming?

Table of contents

  • Executive Summary
  • Introduction
  • What is cloud gaming?
    • Why consumers will embrace cloud gaming
  • Ramifications for telecoms networks
    • Big demands on bandwidth
    • Latency
    • Edge computing
    • The network architecture underpinning Google Stadia
  • How large is the potential market?
    • Modelling the U.S. cloud gaming market
    • New business models
  • Telcos’ cloud gaming activities
    • Microsoft hedges its bets
    • Apple takes a different tack
  • Conclusions
    • Telcos without their own online entertainment offering
    • Telcos with their own online entertainment offering

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Digital twins: A catalyst of disruption in the Coordination Age

Digital twins and the Coordination Age

Digital twins are an enabler of the Coordination Age, in which a global need to improve the efficiency of resource use, combined with supply-side technologies like the Internet of Things (IoT), 5G and AI, is driving a revolutionary change in the way that economies work.

In this change, the fundamental mechanism needed is coordination – the organisation of multiple parties and assets to deliver a desired end-goal. Examples of this need can be found in all sectors of the economy and all areas of life, such as healthcare, manufacturing, the smart home, smart transport, etc.

To make this happen in practice a number of practical challenges need to be addressed:

  • Physical and digital assets need to be able to work together more easily
  • Authorised users need better real-time remote insight on and control of distributed assets
  • Certain things and processes need to be able to act with greater autonomy (albeit within clear rules)
  • More realistic and reliable models/simulations are needed to test and evaluate different solutions and scenarios

Digital twins are a means towards all these ends, providing a mechanism whereby processes and things can become interoperable and intelligent on demand to authorised users.

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What is a digital twin?

A digital twin is a digital representation of an existing physical or digital entity:

  • Examples of digital twins of physical entities include twins of simple sensors (such as a temperature sensor), machine components (such as a fan in a motor), a sub-system within a motor (such as a cooling system), the entire motor, or the whole vehicle containing the motor
  • Examples of digital twins of digital entities include digital twins of data, a digital process (such as an order process or an automation protocol), or an entire digital business value network (such as a centralised data warehouse).

Digital twinning is a method of designing information systems that enables:

  • First visualisation, then dynamic control and emulation/simulation of assets. This can be ‘offline’ from the actual asset in the sense of a model to predict behaviours in different scenarios, or in real-time as a means to control and monitor operations.
  • A more efficient way to manage large volumes of data, where instead of collecting ‘data lakes’ storing every data point, data is organised into more manageable datasets capturing only meaningful events. This can reduce the need for data storage by up to 90%, which can be highly significant. An aircraft’s jet engine can generate Terabytes of data in a few hours of operation, for example.

Customers often arrive at the need for digital twins with one or other of these needs in mind, and over time end up utilising both.

Archetypal customers are:

  • Organisations that want to share data and create value from numerous sensors and devices, such as weather stations, and connect consumer devices (e.g. washing machines, doorbells, cookers) to consumer / household app dashboards.
  • Organisations that want to make better use of complex assets by using the data they generate to help them operate more efficiently. Examples of such assets include large buildings, trains, jet engines, manufacturing processes, etc. The first step in this process is to organise the data so that it can be used.

The process may ultimately evolve to the point where the organisation possesses a highly sophisticated twin of the entire asset made with information from many component twins from multiple sensors and sources. The overall twin may comprise both historical data of past behaviour, and live real-time data from the thing.

Figure 1: Example of a composite digital twinComposite Digital Twin Example

Source: STL Partners

STL Partners sees digital twins as a key building block of the Internet for Things, and thereby part of the DNA of the Coordination Age in the way that websites and URLs are part of the DNA for the Information Age.

As well as these wider implications, they have potential applications within telcos, and for their customers and partners.

Digital twins: A catalyst of disruption in the Coordination Age explores why telecoms operators need to understand digital twins and their application. The report then sets out how operators and vendors can best take advantage of digital twins.

Table of contents

  • Executive Summary
  • Introduction
    • Digital twins and the Coordination Age
    • What is a digital twin?
  • What do digital twins do?
    • How is a digital twin different from a simulation?
    • Why else are digital twins exciting?
    • So where is the money?
    • What are the challenges?
    • The evolving impact of digital twins
  • Digital twins for telcos
    • Potential internal applications
    • Speaking customers’ language
    • Telcos as providers of digital twins
  • Dating services for digital twins
    • Civil engineering: Making all the pieces work together in real life

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5G: ‘Just another G’ – yet a catalyst of change

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5G: Cutting through the hype

This briefing document is being published in June 2018. This report does not re-hash the familiar background story to 5G – the original specifications, the much-ballyhooed early thoughts on use cases, nor the breathless rhetoric about how it is going to change the world (or in the risible words of one hyperbolic tech CEO, “be more important than electricity”). Neither is it a hatchet job decrying the whole exercise as worthless. Instead, it looks at the factors acting as brakes and accelerants for 5G, and how they may affect the overall ecosystem’s evolution.

What is needed, however, is a way to cut through the spin – especially where it is aimed at policymakers and investors, who often latch on to simple but unrealistic stories. Some of the most absurd ‘5G-wash’ hyperbole emanates from Brussels and Washington DC, and in the run up to the next World Radio Congress in 2019 (where spectrum allocations are debated) it is critical that rationality and critical thought prevails over glossy lobbying. It is harmful to us all if 5G hype means it ends up overshadowing worthy parallel developments in satellite communications, private wireless and other technologies that also deserve attention, spectrum or subsidised research projects.

It is understandable that many in the industry ‘talk up their own book’, especially given consolidation and profitability concerns in the vendor space. The 2018 market for telecoms infrastructure is expected to decline, and there are huge hopes at Ericsson, Nokia and Huawei that 5G can help turn it around in 2019–20. But that is not an adequate excuse to exaggerate. Neither is it an excuse to mislabel and market diverse other technologies (advanced versions of 4G, Wi-Fi and so on) as ‘5G’ – although such egregious duplicity is one of the few certainties here. It is probably enhancements and capacity additions for 4G that will prove the biggest moneyspinners over the next 12–24 months.

The next 24 months for 5G

In theory, the next 24 months should be when it all happens for 5G. Early demonstrations and trials have been well publicised, including various global cities’ testbeds and the South Korean Winter Olympics in Pyeongchang. Almost every week yields new press releases, lauding everything from medical diagnosis (NTT DoCoMo) to self-driving snowploughs (Telenor). It is unclear how much any of these shiny announcements actually accelerate real, commercial deployments – or real business models.

This period is also a critical juncture for standards, starting with the formalisation of the first phase of standards at the June 3GPP meeting (Release 15), leading up to the full ratification of 5G as the official IMT2020 technology by the International Telecoms Union (ITU ) in 2020.

Much of the technology media is trying to pitch the development and deployment of 5G as a race, either between countries or individual operators. The first fixed-wireless deployments are under way, while the earliest mobile devices are expected by the year end (probably portable 5G/Wi-Fi hotspot modems). 2019 should see a flurry of early launches and the first 5G-capable smartphones becoming available.

Yet those forms of 5G broadband – fixed or ‘enhanced mobile’ – are hardly novelties, despite the gigabit speeds and low latencies promised. In many ways, they risk being overshadowed by continued evolution of 4G networks, which is occurring in parallel.

There are also plenty of IoT-type demonstrations, whether for delivery drones, autonomous vehicles or automated industrial machinery. Yet these seem much less real for now – the value-chains are far from clear, and often they will need networks to be built in new locations, rather than reusing existing towers and backhaul. It also isn’t obvious that large enterprises are willing to pay much for such connectivity, and whether they’ll be happy with ‘slices’ of MNO-controlled networks or if they want to own them outright.

There remain many hard-to-answer questions about 5G’s emergence:

  • Will global consumers switch to 5G phones en masse in 2021–22 or more from 2023–24?
  • Will today’s mobile operators consolidate further or will there be an explosion of new niche providers targetting verticals or specific uses?
  • Is there a ‘race’ between countries to deploy 5G, and if so, why? Do arguments about 5G ‘leadership’ really translate to economic benefit and jobs, and if so, for whom?
  • Will the US, Japan, South Korea and maybe China take a significant lead on 5G, or is it more about geopolitical grandstanding in the Trump/Xi age, and helping national-champion vendors and operators gain a reputational boost?
  • Will 5G, NFV, SDN and edge computing work in true synergy, or will delays or limitations in one area have knock-on impacts on the others?
  • What are the unexpected practical ‘gotchas’ for 5G that might add friction, cost or delay to deployment, or complexity to operations? Is fibre availability for backhaul a critical prerequisite?
  • Does 5G pose an opportunity for new niche suppliers of technology – for example in small cells – or will thinning margins and price pressure from operators and open source force many aspirant vendors out of the market?
  • Will ‘verticals’ and IoT really matter for 5G, and if so will telcos view enterprises more as customers, partners or even suppliers and competitors? Which industries are realistic opportunities for 5G’s new capabilities for low latency or ‘massive IoT’?
  • Who, if anyone, will make a profit from 5G-enabled networks, devices, services and embedded capabilities?

The truth is that many of these questions cannot be definitively answered today, despite the emphatic nature of a lot of industry comment. Here, we present some scenarios and especially look at the idea of pre-requisites: what needs to be done first, for 5G to be successfully deployed or monetised? There are potential bottlenecks ahead, as well as opportunities.

Hopefully, we have plotted the roadmap, even if the industry cannot ‘drive autonomously’ yet.

The rest of this report is structured into the following sections:

  • 5G positive signals – standards, trials and enthusiasm
  • 5G cautions – prerequisites, questions and complexities
  • Verticals – huge opportunity or more market fragmentation and competition?
  • Timelines and practicalities

Think of this report as a weather forecast. 5G will be much like the UK climate: patchy clouds, with rays of sunshine and the occasional storm. The summer will be late but warm, but you’d best pack a 4G or Wi-Fi umbrella just in case.

And just as with weather, trying to do long-range forecasts is very risky. There’s a good chance that circumstances will prove you wrong. But despite that, we have some qualitative predictions stretching out to 2026, at which point we expect to be bombarded with 6G hype, alongside 5G reality.

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5G positive indicators: reasons to be happy!

In many ways, the development of 5G is going remarkably well, especially compared to some of the partisan inter- and intra-technology standards warfare of the past.

In the recent past we have seen:

  • Approval by 3GPP of the first New Radio (NR) specifications in December 2017, for Non- Standalone mode, which means that 5G NR can be deployed using the existing 4G core networks.
  • Early engagement by the cellular industry with various industries’ representatives, notably automotive, manufacturing and healthcare. A number of joint bodies have been set up, with the objective of defining ‘vertical’ and especially IoT-centric requirements and testbeds.
  • A timeline for silicon and device availability that aligns much better with that for networks than was the case with 3G or 4G.
  • A whole range of cool demonstrations in Pyeongchang at the South Korean Winter Olympics in early 2018.
  • Research labs for 5G set up around the world.
  • High awareness of 5G among governments, businesses and media, even if it is often over-hyped,as that is hardly unusual for new technologies.
  • An ongoing procession of spectrum auctions for frequencies suitable for 5G, and ready availability of test licences.
  • Good (albeit uneven) progress in adjacent mobile areas such as NFV, SDN, edge computing, cloud RAN, network slicing, automation of processes, AI and so forth.
  • Continued growth of 4G usage, and likelihood of capacity constraints driving the need for future upgrades.
  • Commendable work by both large and small vendors in creating early equipment, and approaching target speeds and latencies more closely than many observers (including the author) thought were probable.
  • Some good early results from trials, especially of high-frequency mmWave networks, which show decent propagation properties and even indoor penetration – albeit through glass, not solid walls – exceeding the (admittedly low) expectations. For instance, AT&T has tested for weather resistance of its mmWave 5G trials – important as some have expected rain or snow to have an impact on propagation.
  • The effectiveness of MIMO (multiple-in, multiple-out) antennas appears to negate some of the poor notional radio properties of midband spectrum in the 3–4GHz range as well. Essentially beam-forming and beam-steering allows radio ‘spikes’ to concentrate power towards actual users’ positions (including indoors), rather than radiating uniformly and thus wastefully.
  • No major fights (yet) over IPR and costly patent licences.
  • Encouraging forecasts from some analysts (not published by us, so we won’t quote them) and trade associations about 5G subscriptions and related services.

Early trial results and 5G deployment plans

While many operators and international laboratories and organisations are testing 5G, a few of the experiments stand out.

Probably the most high profile have been the various South Korean initiatives that took place during the Pyeongchang Winter Olympics, and Verizon’s work on fixed-wireless access in the US. KT and SKT showed various approaches to 5G-connected cars, novel camera footage from 5G-connected drones, real-world usage of mmWave radios and numerous other showcases. Korea is expecting to see launches of commercial 5G services around March 2019.

Verizon announced at the end of 2017 that it was aiming to light up a handful of cities – Sacramento, California most notably – by the end of this year. More details have become clearer recently: initially it will launch fixed 5G for mostly residential users, with mobile variants following around six months afterwards. Samsung has had its 28GHz-band routers approved for both indoor and outdoor use in the US, and these are expected to feature in Verizon’s early offerings. (STL Partners is writing a separate briefing report digging more deeply into Verizon’s 5G strategy, which includes an estimate of its huge investment into fibre for back/fronthaul).

(Mobile launches usually lag fixed-wireless services, as they need more coverage, more testing and a lot more complexity around cell-to-cell handoffs. And within mobile uses, it is usually easier to provide simple devices such as modems or cellular/Wi-Fi hotspots, as phones and voice access require even more work.)

AT&T is being aggressive with its ‘proper’ 5G rollout, as well as its controversial “fake” branding of advanced 4G as ‘5G Evolution’. It is intending to launch standards-based 5G, capable of supporting mobile devices (initially mobile Wi-Fi hotspot ‘pucks’) in at least 12 cities by the end of 2018.

AT&T started demonstrating and testing pre-5G technology in late 2016, including an enterprise trial in mmWave bands, together with Intel. In June 2017, it extended the trials to residential users in Austin, Texas, doing video streaming over fixed-wireless access. This was followed by a small-business fixed- wireless trial in Waco, Texas, which generated good results including 1.2Gbps throughput speeds and 9–12 millisecond latencies. That said, it seems less enthusiastic than Verizon about the general fixed- wireless opportunity1, especially given the backhaul fibre investment needed.

Telco operators that are well advanced on 5G plans include:

  • Japanese operators: NTT DoCoMo, KDDI and SoftBank have all been running multiple trials, for a wide variety of use cases and deployment scenarios. All are expected to have networks up and running in time for the 2020 Summer Olympics. NTT in particular has been very visible, signing contracts with vendors including Nokia and NEC.
  • Chinese operators: Spurred on by its government and Huawei as national champion vendor, all three telcos are deploying significant test networks, in a total of 16 cities across the country. Importantly, the regulator has shown commitment to issuing 5G spectrum in large tranches, and also seems to be encouraging infrastructure both between the operators and also China’s electricity grid operator. Chinese operators have also been quite aggressive on other key technical enablers such as AI/automation and network slicing.
  • Sprint and T-Mobile US: Both operators had previously been talking up 5G, but this has taken on a new perspective since the announcement of their potential merger. T-Mobile’s plan to use 600MHz spectrum for 5G is fairly unique and points to a possible nationwide network much earlier than its peers. Sprint’s hoard of 2.5GHz frequency is also extensive and could be a key differentiator given that the US has been slower to release 3.5–4.5GHz ‘midband’ spectrum than other markets. If their merger goes ahead (possibly a big if, given previous regulatory reluctance) the new T-Mobile may try to do for 5G what Verizon did for 4G – use it as a competitive differentiator to gain market share. It may face challenges getting devices supporting its unique 600MHz band, though – a similar problem that plagued it with the early days of 4G.
  • Deutsche Telekom: Aligning with its US arm, the domestic German arm of DTAG is perhaps the most vocal early enthusiast for 5G in Europe, deploying a growing test network in Berlin in particular. It is also getting its backhaul house in order, deploying tens of thousands more fibre kilometres annually.
  • Telstra: In Australia, local operator Telstra has launched a number of trials, including 5G for fixed-access backhaul to some publicly available Wi-Fi hotspots on the Gold Coast.
  • Spark: In New Zealand, local operator Spark has signalled an intent to deploy 5G (probably for fixed wireless) as early as possible, if it can get spectrum.
  • MTN: One of the few notable developing market 5G trials is that by MTN in South Africa, with Huawei.
  • India: The Indian government has signalled that it expects to announce its overall 5G strategy in June 2018. Although some are talking of 2020, it seems unlikely to gain a broad deployment fast, given economic limitations, especially driven by the 4G rollout and subsequent price war and consolidation between operators.

There are some notable absentees from this list. The UK has various government and MNO-sponsored trials, but little commitment by the telcos to move towards commercial launches yet. The Scandinavian operators, early on 3G and 4G, also seem more diffident this time. So too are the smaller countries in developed Asia; Singapore and Taiwan are also (comparatively) lagging the timelines that might be expected, again reflecting caution over business case.

In the Middle East, Ooredoo, Etisalat and STC have all been keen to be early to market with demo networks, but it’s unclear whether that will translate to broader, rapid deployments.

5G Spectrum

As always with new mobile networks, one of the input requirements is suitable radio spectrum. Generally, 5G seems to be doing fairly well in this regard. Many countries have started initial awards or have them planned for the next year or so.

Various European countries are releasing 3.5GHz ‘mid-band’ spectrum, while the US has earmarked both 600MHz (which T-Mobile has large amounts of) and 28GHz as priorities. Japan’s early focus is on 4.5GHz. In addition, there is a strategy by many operators to progressively switch off old 2G and 3G networks, and ‘refarm’ the bands for 5G.

The general expectation is that 5G will require a combination of three broad sets of frequencies:

  • Low-band, mostly below 2GHz, for wide-area coverage and good indoor penetration
  • Mid-band between 3GHz and 6GHz, for densified, mostly urban networks, probably with complex MIMO antennas
  • High-band above 6GHz, and probably mostly from 20–40GHz, although some are speaking of 90GHz or even higher for local usage.

Notably, many markets are not waiting for the official seal of approval from ITU and its World Radio Congress at the end of 2019, which was supposed to define the first set of ‘harmonised’ 5G frequencies (more accurately, IMT2020). A second set is expected, based on ITU’s ridiculously leisurely process, to be ratified only in 2023. Instead of this timeline, many regulators are either pre- guessing the outcomes (fairly uncontroversial for the 3.5GHz band) or just ignoring them (such as 28GHz in the US and South Korea). We wrote about 5G spectrum in early 2017, discussing this in more depth.

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5G is becoming real

In other words, 5G is becoming ‘real’, it’s getting a lot of interest and investment, and the basic technology enablers seem to work, at least in the lab and limited field trials. There are plenty of suggested use cases, and even if some of them prove far away or unrealistic, there should be some that make it through the funnel, plus others that are unanticipated.

That said, there is a cliché that states that any parts of a sentence or speech before the ‘but’ should probably be ignored.

Contents of the 5G report

  • Executive Summary
  • Introduction
  • 5G positive indicators: reasons to be happy!
  • Early trial results and deployment plans
  • Spectrum
  • Summary – the good news!
  • But what are the obstacles to 5G?
  • Densification and network sharing
  • In-building coverage
  • A lack of 5G business models
  • 5G-specific models in a hybrid-network world?
  • Devices and silicon
  • Other issues and concerns
  • Verticals: customers, partners or competitors?
  • Overview
  • Operator networks for verticals? Or private 5G?
  • Thoughts on specific verticals
  • Vendor attitudes to verticals and private networks
  • Timelines and practicalities
  • 5G in name only?
  • Conclusions

Figures:

  • Figure 1: 5G predicted timeline, 2018–2026
  • Figure 2: Who are the 5G bulls and bears?
  • Figure 3: 5G antennas may be larger and heavier than 4G equipment
  • Figure 4:  Multiple dimensions for future wireless networks’ use cases and requirements
  • Figure 5:  Creating private 5G networks involves significant complexity for enterprises
  • Figure 6: Predicted 5G relevance to verticals, 2023-25 timeframe
  • Figure 7:  Numerous applications of machine learning and AI for 5G networks
  • Figure 8: Overall 5G predicted timeline, 2018–26

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IoT and blockchain: There’s substance behind the hype

Introduction

There is currently a lot of market speculation about blockchain and its possible use-cases, including how it can be used in the IoT ecosystem.

This short report identifies three different reasons why blockchain is an attractive technology to use in IoT solutions, and how blockchain can help operators move up the IoT value chain by enabling new business models.

This report leverages research from the following recent STL publications:

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The IoT ecosystem is evolving rapidly, and we are moving towards a hyper-connected and automated future…

Blockchain IoT

Source: STL Partners

This future vision won’t be possible unless IoT devices from different networks can share data securely. There are three things that make blockchain an attractive technology to help overcome this challenge and enable IoT ecosystems:

  1. It creates a tamper-proof audit trails
  2. It enables a distributed operating model
  3. It is open-source

Contents:

  • Introduction
  • IoT is not a quick win for operators
  • Can blockchain help?
  • The IoT ecosystem is evolving rapidly…
  • The future vision won’t be possible unless IoT devices from different networks can share data securely
  • Application 1: Enhancing IoT device security
  • Use-case 1: Protecting IoT devices with blockchain and biometric data
  • Use-case 2: Preventing losses in the global freight and logistics industry
  • Application 2: Enabling self-managing device-to-device networks
  • Use-case 1: Enabling device-to-device payments
  • Use-case 2: Granting location-access through smart locks
  • Use-case 3: Enabling the ‘sharing economy’
  • Blockchain is not a silver bullet
  • Blockchain in operator IoT strategies

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Edge computing: Five viable telco business models

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This report has been produced independently by STL Partners, in co-operation with Hewlett Packard Enterprise and Intel.

Introduction

The idea behind Multi-Access Edge Computing (MEC) is to make compute and storage capabilities available to customers at the edge of communications networks. This will mean that workloads and applications are closer to customers, potentially enhancing experiences and enabling new services and offers. As we have discussed in our recent report, there is much excitement within telcos around this concept:

  • MEC promises to enable a plethora of vertical and horizontal use cases (e.g. leveraging lowlatency) implying significant commercial opportunities. This is critical as the whole industry is trying to uncover new sources of revenue, ideally where operators may be able to build a sustainable advantage.
  • MEC should also theoretically fit with telcos’ 5G and SDN/NFV deployments, which will run certain virtualised network functions in a distributed way, including at the edge of networks. In turn, MEC potentially benefits from the capabilities of a virtualised network to extract the full potential of distributed computing.

Figure 1: Defining MEC

Source: STL Partners

However, despite the excitement around the potentially transformative impact of MEC on telcos,viable commercial models that leverage MEC are still unclear and undefined. As an added complication, a diverse ecosystem around edge computing is emerging – of which telcos’ MEC is only one part.

From this, the following key questions emerge:

  • Which business models will allow telcos to realise the various potential MEC use cases in a commercially viable way?
  • What are the right MEC business models for which telco?
  • What is needed for success? What are the challenges?

Contents:

  • Preface
  • Introduction
  • The emerging edge computing ecosystem
  • Telcos’ MEC opportunity
  • Hyperscale cloud providers are an added complication for telcos
  • How should telcos position themselves?
  • 5 telco business models for MEC
  • Business model 1: Dedicated edge hosting
  • Business model 2: Edge IaaS/PaaS/NaaS
  • Business model 3: Systems integration
  • Business model 4: B2B2X solutions
  • Business model 5: End-to-end consumer retail applications
  • Mapping use cases to business models
  • Some business models will require a long-term view on the investment
  • Which business models are right for which operator and which operator division?
  • Conclusion

Figures:

  • Figure 1: Defining MEC
  • Figure 2: MEC potential benefits
  • Figure 3: Microsoft’s new mantra – “Intelligent Cloud, Intelligent Edge”
  • Figure 4: STL Partners has identified 5 telco business models for MEC
  • Figure 5: The dedicated edge hosting value
  • Figure 6: Quantified example – Dedicated edge hosting
  • Figure 7: The Edge IaaS/PaaS/NaaS value chain
  • Figure 8: Quantified example – Edge IaaS/PaaS/NaaS
  • Figure 9: The SI value chain
  • Figure 10: Quantified example – Systems integration
  • Figure 11: The B2B2X solutions value chain
  • Figure 12: Quantified example – B2B2x solutions
  • Figure 13: Graphical representation of the end-to-end consumer retail applications business model
  • Figure 14: Quantified example – End-to-end consumer retail applications
  • Figure 15: Mapping MEC business models to possible use cases
  • Figure 16: High IRR correlates with low terminal value
  • Figure 17: Telcos need patience for edge-enabled consumer applications to become profitable (breakeven only in year 5)
  • Figure 18: The characteristics and skills required of the MEC operator depend on the business models

Music Lessons: How the music industry rediscovered its mojo

Introduction

The latest report in STL Partners’ Dealing with Disruption stream, this paper explores what telcos and their partners can learn from the music industry and its response to disruptive forces unleashed by the Internet.

Music was among the first industries to see its core product (compact discs) completely undermined by the Internet’s emergence as the primary distribution mechanism for content and software, throwing the record labels into a long standing struggle to maintain both relevance and revenues. After almost two decades of decline, sales of recorded music are growing again and, in developed markets, at least, the existential threat posed by piracy seems to have abated. Although the music industry still has problems aplenty, the success of streaming services has steadied the ship.

This report outlines how the music industry has regained its mojo, before considering the lessons for telcos and other digital service providers. The first section of the paper considers why music streaming has become so successful and whether the model will be sustainable. The second section of the paper explores the lessons companies from other sectors, notably telecoms, can draw from the ways in which the music industry responded to the Internet’s disruptive forces.

This paper builds on other entertainment-related reports published by STL Partners, including:

Apple’s pivot to services: What it means for telcos
Telco-Driven Disruption: Will AT&T, Axiata, Reliance Jio and Turkcell succeed?
Amazon: Telcos’ Chameleon-King Ally?
Can Telcos Entertain You? Vodafone and MTN’s Emerging Market Strategies (Part 2)
Can Telcos Entertain You? (Part 1)

Music bounces back

Over the past 20 years, the rise of the Internet has shaken the music industry to the core, obsolescing its distribution model, undermining its business model and enabling new forms of piracy. Yet, the major record labels have survived, albeit in a consolidated form, and the sector is now showing some tentative signs of recovery. In 2013, the global music industry began to grow again for the first time since the turn of the Millennium. It continues to recover and will grow at a compound annual growth rate of 3.5% between now and 2021, according to research by PwC, fuelled by growth in both the recorded music and the live music sectors (see Figure 1).

Figure 1: The global music industry has returned to growth

The global music industry has returned to growth

Source: PWC and Ovum

For most of the past two decades, revenues from recorded music have been shrinking, leaving the industry increasingly reliant on ticket sales for live performances. Widespread piracy, together with the growing obsolesce of CDs, appeared to be turning recorded music into a form of advertising for concerts and tours.

But in 2015, global recorded music revenues began to grow again. In 2016, they rose a relatively healthy 5.9% to US$15.7 billion (about one third of the industry’s total revenue), according to a report by the International Federation of the Phonographic Industry (IFPI). For music industry executives, that growth marks an important milestone. “We got here through years of hard work,” Michael Nash, executive vice president of digital strategy at Universal records, told the Guardian in April 2017, adding that the music industry was still going through a “historical transformation. The only reason we saw growth in the past two years, after some 15 years of substantial decline, is that music has been one of the fastest adapting sectors in the digital world.”

Contents:

  • Executive Summary
  • Introduction
  • Music bounces back
  • What has changed?
  • Is streaming the final word in music distribution
  • Lessons to learn from music’s recovery

Figures:

  • Figure 1: The global music industry has returned to growth
  • Figure 2: The way people buy recorded music is changing dramatically
  • Figure 3: YouTube pays particularly low rates per stream
  • Figure 4: YouTube is a major destination for music lover
  • Figure 5: Music is one of the slowest growing entertainment segments
  • Figure 6: Spotify’s losses continue to grow despite the growth in revenues
  • Figure 7: Spotify’s subscription service is growing rapidly
  • Figure 8: Concert ticket revenues are up sevenfold since 1996 in North America
  • Figure 9: Major concert tickets sell for an average of $77 apiece

Apple’s pivot to services: What it means for telcos

Introduction

The latest report in STL’s Dealing with Disruption stream, this executive briefing considers Apple’s strategic dilemmas in its ongoing struggle for supremacy with the other major Internet ecosystems – Amazon, Facebook and Google. It explores how the likely shift from a mobile-first world to an artificial-intelligence first world will impact Apple, which owes much of its current status and financial success to the iPhone.

After outlining Apple’s strategic considerations, the report considers how much Apple earns from services today, before identifying Apple’s key services and how they may evolve. Finally, the report features a SWOT (strengths, weaknesses, opportunities and threats) analysis of Apple’s position in services, followed by a TOWS analysis that identifies possible next steps for Apple. It concludes by considering the potential implications for Apple’s main rivals, as well as two different kinds of telcos – those who are very active in the service layer and those focused on providing connectivity and enablers.

Several recent STL Partners’ research reports make detailed recommendations as to how telcos can compete effectively with the major Internet ecosystems in the consumer market for digital services. These include:

  • Telco-Driven Disruption: Will AT&T, Axiata, Reliance Jio and Turkcell succeed? To find new revenues, some telcos are competing head-on with the major internet players in the digital communications, content and commerce markets. Although telcos’ track record in digital services is poor, some are gaining traction. AT&T, Axiata, Reliance Jio and Turkcell are each pursuing very different digital services strategies, and we believe these potentially disruptive moves offer valuable lessons for other telcos and their partners.
  • Consumer communications: Can telcos mount a comeback? The rapid growth of Facebook, WhatsApp, WeChat and other Internet-based services has prompted some commentators to write off telcos in the consumer communications market. But many mobile operators retain surprisingly large voice and messaging businesses and still have several strategic options. Indeed, there is much telcos can learn from the leading Internet players’ evolving communications propositions and their attempts to integrate them into broad commerce and content platforms.
  • Autonomous cars: Where’s the money for telcos? The connected car market is being seen as one of the most promising segments of the Internet of Things. Everyone from telcos to internet giants Google, and specialist service providers Uber are eyeing opportunities in the sector. This report analyses 10 potential connected car use-cases to assess which ones could offer the biggest revenue opportunities for operators and outline the business case for investment.
  • AI: How telcos can profit from deep learning Artificial intelligence (AI) is improving rapidly thanks to the growing use of deep neural networks to teach computers how to interpret the real world (deep learning). These networks use vast amounts of detailed data to enable machines to learn. What are the potential benefits for telcos, and what do they need to do to make this happen?
  • Amazon: Telcos’ Chameleon-King Ally? New digital platforms are emerging – the growing popularity of smart speakers, which rely on cloud-based artificial intelligence, could help Amazon, the original online chameleon, to bolster its fast-evolving ecosystem at the expense of Google and Facebook. As the digital food chain evolves, opportunities will open up for telcos, but only if the smart home market remains heterogeneous and very competitive.

Apple’s evolving strategy

Apple is first and foremost a hardware company: It sells physical products. But unlike most other hardware makers, it also has world-class expertise in software and services. These human resources and its formidable intellectual property, together with its cash pile of more than US$250 billion and one of the world’s must coveted brands, gives Apple’s strategic options that virtually no other company has. Apple has the resources and the know-how to disrupt entire industries. Apple’s decision to double the size of it’s already-impressive services business by 2021 has ramifications for companies in a wide range of industries – from financial services to entertainment to communications.

Throughout its existence, Apple’s strategy has been to use distinctive software and services to help sell its high-margin hardware, rather than compete head-on with Google, Facebook, Microsoft and Amazon in the wider digital services and content markets. As Apple’s primary goal is to create a compelling end-to-end solution, its software and services are tightly integrated into its hardware. Although there are some exceptions, notably iTunes and Apple Music, most of Apple’s services and software can only be accessed via Apple’s devices. But there are four inter-related reasons why Apple may rethink that strategy and extend Apple’s services beyond its hardware ecosystem:

      • Services are now Apple’s primary growth engine, as iPhone revenue appears to have peaked and new products, such as the Apple Watch, have failed to take up the slack. Moreover, services, particularly content-based services, need economies of scale to be cost-effective and profitable.
      • Upstream players, such as merchants, brands and content providers, want to be able to reach as many people as possible, as cost-effectively as possible. They would like Apple’s stores and marketplaces to be accessible from non-Apple devices, as that would enable them to reach a larger customer base through a single channel. Figure 1 shows that Apple’s iPhone ecosystem (which use the iOS operating system) is approximately one quarter of the size of rival Android in terms of volumes.
      • Artificial intelligence is becoming increasingly central to the propositions of the major Internet ecosystems, including that of Apple. The development of artificial intelligence requires vast amounts of real-world data that can be used to hone the algorithms computers use to make decisions. To collect the data necessary to detect patterns and subtle, but significant, differences in real-world conditions, the Internet players need services that are used by as many people as possible.
      • As computing power and connectivity proliferates, the smartphone won’t be as central to people’s lives as it is today. For Apple, that means having the best smartphone won’t be enough: Computing will eventually be everywhere and will probably be accessed by voice commands or gestures. As the hardware fades into the background and Apple’s design skills become less important, the Cupertino company may decide to unleash its services and allow them to run on other platforms, as it did with iTunes.

Content:

  • Executive Summary
  • Introduction
  • Apple’s evolving strategy
  • Playing catch-up in artificial intelligence
  • What does Apple earn from services?
  • What are Apple’s key services?
  • Communications – Apple iMessage and FaceTime
  • Commerce – Apple Pay and Apple Wallet
  • Content – iTunes, Apple Music, Apple TV
  • Software – the App Store, Apple Maps
  • Artificial intelligence and the role of Siri
  • Tools for developers
  • Conclusions and implications for rivals
  • Implications for rivals

Figures:

  • Figure 1: Installed base of smartphones by operating system
  • Figure 2: Apple’s artificial intelligence, as manifest in Siri, isn’t that smart
  • Figure 3: Apple’s services business is comparable in size to Facebook
  • Figure 4: The services business is Apple’s main growth engine
  • Figure 5: The strength of Apple’s online commerce ecosystem
  • Figure 6: iMessage is becoming a direct competitor to Instagram and WhatsApp
  • Figure 7: Various apps allow consumers to make payments via Apple Pay
  • Figure 8: Apple Pay is available in a limited number of markets
  • Figure 9: Unlike most Apple services, Apple Music is “available everywhere”
  • Figure 10: Apple’s App Store generates far more revenue than Google Play
  • Figure 11: Apple Maps’ navigation trailed well behind Google Maps in June 2016
  • Figure 12: SWOT analysis of Apple in the services sector
  • Figure 13: TOWS analysis for Apple in the service market

Telco-Driven Disruption: Will AT&T, Axiata, Reliance Jio and Turkcell succeed?

Introduction

The latest report in STL’s Dealing with Disruption in Communications, Content and Commerce stream, this executive briefing explores the role of telcos in disrupting the digital economy. Building on the insights gleaned from the stream’s research, STL has analysed disruptive moves by four very different telcos and their prospects of success.

In the digital economy, start-ups and major Internet platforms, such as Alibaba, Amazon, Apple, Facebook, Google, Spotify, Tencent QQ and Uber, are generally considered to be the main agents of disruption. Start-ups tend to apply digital technologies in innovative new ways, while the major Internet platforms use their economies of scale and scope to disrupt markets and established businesses. These moves sometimes involve the deployment of new business models that can fundamentally change the modus operandi of entire industries, such as music, publishing and video gaming.

However, these digital natives don’t have a monopoly on disruption. So-called old economy companies do sometimes successfully disrupt either their own sector or adjacent sectors. In some cases, incumbents are actually well placed to drive disruption. As STL Partners has detailed in earlier reports, telcos, in particular, have many of the assets required to disrupt other industries, such as financial services, electronic commerce, healthcare and utilities. As well as owning the underlying infrastructure of the digital economy, telcos have extensive distribution networks and frequent interactions with large numbers of consumers and businesses.

Although established telcos have generally been cautious about pursuing disruption, several have created entirely new value propositions, effectively disrupting either their core business or adjacent industry sectors. In some cases, disruptive moves by telcos have primarily been defensive in that their main objective is to hang on to customers in their core business. In other cases, telcos have gone on the offensive, moving into new markets in search of new revenues.

Increasingly, these two strategies are becoming intertwined. As regulators use spectrum licensing and local loop unbundling to fuel competition in connectivity, telcos have found themselves embroiled in damaging and expensive price wars. One way out of this commoditisation trap is to enhance and enrich the core proposition in ways that can’t easily be replicated by rivals. For example, BT in the UK has demonstrated that one of the most effective ways to defend the core business can be to bundle connectivity with exclusive content that consumers value. This report analyses four very different variants of this basic strategy and their chances of success.

Note, the examples in this report are intended to be representative and instructive, but they are not exhaustive. Other telcos have also pursued disruptive strategies with varying degrees of success. Many of these strategies have been described and analysed in previous STL Partners’ research reports. Digital transformation is a phenomenon that is not just affecting the telco sector. Many industries have been through a transformation process far more severe than we have seen in telecoms, while others began the process much earlier in time. We believe that there are valuable lessons telcos can learn from these sectors, so we have decided to find and examine the most interesting/useful case studies.

Contents:

  • Executive Summary
  • Introduction
  • Strategy One: Aggressive Acquisitions
  • AT&T – how will engineering and entertainment mix?
  • Strategy Two: Fast and Fluid, build a portfolio
  • Axiata places many digital bets
  • Strategy Three: Leapfrogging the legacy
  • Reliance Jio – super-disruptor
  • Strategy Four: Building an elaborate ecosystem
  • Turkcell goes toe-to-toe with the big Internet ecosystems

Figures:

  • Figure 1: Figure 1: The largest pay TV providers in the US in September 2016
  • Figure 2: Fullscreen Entertainment – free to AT&T Wireless customers
  • Figure 3: AT&T’s television customer base is shrinking
  • Figure 4: But AT&T’s Entertainment Group has seen ARPU rise
  • Figure 5: Celcom Planet’s 11Street marketplace caters for all kinds of products
  • Figure 6: XL has integrated its commerce and payment propositions
  • Figure 7: The Tribe video-on-demand proposition majors on Korean content
  • Figure 8: 4G was designed to deliver major capacity gains over 3G
  • Figure 9: Vodafone’s view of spectrum holdings in India
  • Figure 10: Reliance Jio is offering an array of entertainment and utility apps
  • Figure 11: Reliance’s network is outperforming that of rivals by a large margin
  • Figure 12: Vodafone India has slashed the cost of its mobile data services
  • Figure 13: Vodafone, Airtel and Idea account for 72% of the Indian market
  • Figure 14: The performance required for Reliance to achieve a ROCE of 18%
  • Figure 15: Digital services have become a major growth engine for Turkcell
  • Figure 16: Downloads of Turkcell’s apps are growing rapidly
  • Figure 17: Turkcell TV+ is gaining traction both on and off network
  • Figure 18: Turkcell’s ARPU is growing steadily
  • Figure 19:Turkcell is seeing rapid growth in mobile data traffic

Transformation: Are telcos investing enough?

Introduction

Why are we doing non-telco case studies?

Digital transformation is a phenomenon that is not just affecting the telco sector. Many industries have been through a transformation process far more severe than we have seen in telecoms, while others began the process much earlier in time. We believe that there are valuable lessons telcos can learn from these sectors, so we have decided to find and examine the most interesting/useful case studies.

In this report, we look at German publisher Axel Springer, which has successfully transformed itself from a print-based publisher to an online multimedia platform.

While the focus of this report will be on Axel Springer’s transformation, the key takeaways will be the lessons for telcos to help them make their own transformation process run more smoothly.

STL Partners has done extensive research into the challenge of telco transformation and how to implement effective business model change, most recently in our reports Five telcos changing culture: Lessons from neuroscience, Changing Culture: The Great Barrier and Which operator growth strategies will remain viable in 2017 and beyond?

General outline of STL Partners’ case study transformation index

We intend to complete similar case studies in the future from other industry verticals, with the goal of creating a ‘case study transformation index’, illustrating how selected companies have overcome the challenge of digital disruption. In these case studies we will examine five key areas of transformation, identifying which have been the most challenging, which have generated the most innovative solutions, and which can be considered successes or failures. These five areas are:

  • Market
  • Proposition
  • Value Network
  • Technology
  • Finances

For each section, supporting evidence of good or bad practice will be graded as a positive (tick) or a negative (cross). These ticks and crosses will then be evaluated to create a “traffic light” rating for each section, which will then be tallied to provide an overall transformation rating for each case study.

We anticipate that some of these five sections will overlap, and some will be more pertinent to certain case studies than others. But central to the case studies will be analysis of how the transformation process is relevant to the telco industry and the lessons that can be learned to help operators on the path to change.

Axel Springer’s transformation – a success story

German publishing house Axel Springer began to suffer from declining revenues in the mid-2000’s as changes in consumer behaviour and disruption from new digital rivals such as Google and Yahoo! led to falling readership. Axel Springer identified this threat immediately and reacted swiftly, making the bold move to cannibalise its core printed newspaper and magazine business by repositioning most of its existing content onto online and digital platforms. The company has continued this transformation with an aggressive acquisition strategy, enabling it to expand its footprint into new geographies and content areas.

Even though Axel Springer’s transformation required sweeping technological, strategic and cultural change, it has been a success. Since the disposal of several non-core regional publications in 2012, both revenues and EBITDA have grown on average nearly 5% per year, while the percentage of revenues from digital streams grew to 67% in 2016 from just 42% in 2012.

Why is the Axel Springer case study relevant for telcos?

Much of Axel Springer’s transformation has consisted of (and been driven by) the change from traditional (print) to digital (online) publishing. While telcos have grown up in the digital era, with much of their transformation being driven by changes in consumer behaviour, there are many parallels between Axel Springer and the telco sector. We will look at the key lessons that can be learnt in the following areas:

  • Advances in technology
  • Changes in consumption and customer habits
  • The risk of cannibalisation
  • New opportunities in content
  • Working with social media
  • Platform and partnership opportunities
  • Culture change
  • The importance of data

Content:

  • Executive Summary
  • Axel Springer’s transformation success – a summary of key lessons
  • Axel Springer in STL Partners case study transformation index
  • Introduction
  • Why are we doing non-telco case studies?
  • Axel Springer – background to transformation
  • What was Axel Springer’s business model pre-transformation?
  • Drivers of change – how the market developed and Axel Springer’s reaction
  • Conclusions
  • Axel Springer in STL Partners transformation index
  • Appendices
  • Appendix 1: Axel Springer – company timeline
  • Appendix 2: Axel Springer – recent acquisitions
  • Appendix 3: Axel Springer – recent investments

Figures:

  • Figure 1: Total global internet users
  • Figure 2: Traditional publishing company business model
  • Figure 3: Post-digital publishing company business model
  • Figure 4: Axel Springer total revenues 2003-2016
  • Figure 5: Axel Springer total EBITDA and EBITDA margin 2003-2016
  • Figure 6: The development of news and media consumption
  • Figure 7: Axel Springer 2016 revenues by sector (€ million)
  • Figure 8: Axel Springer percentage of revenues from digital streams
  • Figure 9: Axel Springer revenues by sector 2012-2016
  • Figure 9: Axel Springer investment in acquisitions 2012-H1 2016 in comparison to selected telcos