The three telco Metaverse strategies

The Metaverse offers opportunities beyond connectivity for telcos

The Metaverse is the increasingly accepted term for a set of interconnected virtual worlds. One way to think about the Metaverse is to see it as a 3D version of the world wide web in which organizations operate their own virtual 3D worlds, rather than 2D web sites. Represented by avatars, visitors to a virtual world can interact with other users or with avatars controlled by artificial intelligence. The term Metaverse entered the popular consciousness when Facebook renamed itself Meta in October 2021.

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The renaming of Facebook sparked a surge of interest in the Metaverse

Source: Google Trends

Whereas the existing Internet is essentially a 2D digital overlay of the world, composed of text, voice, images and video, the Metaverse will provide a 3D digital overlay. This is the way Nvidia’s CEO Jensen Huang, portrayed the Metaverse in a speech in November 2021. As a leading provider of graphics chips, Nvidia is thinking deeply about how to build a business case for the Metaverse, which could drive rapid growth in demand for its products.

For a fully immersive experience, the Metaverse will need to be accessed through virtual reality (VR) headsets, but it could also be explored by moving through 3D environments using a conventional handset, laptop or television. Indeed, it is important to stress that the fortunes of the Metaverse won’t necessarily depend on the fortunes of VR. Hundreds of millions of people already play video games in 3D, interacting with each other, without wearing headsets.

The Metaverse looks set to host both entirely fictional virtual spaces where people can socialise, play and enjoy entertainment, as well as simulations of the real world, where people can test new product designs, learn new skills or watch concerts and sports events they can’t attend in person.

The first part of this report considers how the Metaverse could create value and the obstacles that lie in its way. It also outlines the strategies of Improbable, Meta (formerly Facebook), Microsoft and Nvidia – four companies developing many of the key enabling technologies.

The second part explores the Metaverse strategies of telcos. Broadband networks and related telco services are fundamental to the smooth running of digital environments today, and will be the building blocks of the Metaverse. We believe that telcos could play a coordination role that will help prevent the Metaverse from fragmenting into silos that are unable to interoperate with each other.

Our landmark report The Coordination Age: A third age of telecoms explained how reliable and ubiquitous connectivity can enable companies and consumers to use digital technologies to efficiently allocate and source assets and resources. In the case of Metaverse, telcos can help people and businesses to interact and transact with each other safely and securely in 3D environments.

As it considers the opportunities for telcos, this report draws on the experiences and actions of SKT, Telefónica and Verizon, which are each deploying strategies to help coordinate the development of the Metaverse.

Table of Contents

  • Executive Summary
  • Introduction
  • What is the Metaverse for?
    • The lure of the virtual road
    • Corporate worlds take over from web sites
    • Dominance or democracy?
    • The non-fungible flexibility paradox
    • Facebook pursues metamorphosis
    • Microsoft has most of the pieces
  • What will the Metaverse mean for telcos?
    • Recreating the real world is challenging
    • Traffic implications for telcos
    • Opportunities for telcos
    • SK Telecom – the full stack standard bearer
    • Telefónica looks to play coordination role
    • AT&T and Verizon – connectivity plus edge
  • Conclusions
  • Index

Related Research

 

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MWC 2022: Sensing the winds of change

What did STL’s analysts find at MWC 2022?

This report is a collection of our analyst’s views of what they saw at the 2022 Mobile World Congress (MWC 2022). It comprises our analysts’ perspectives on its major themes:

  • How the industry is changing overall
  • The impact of the metaverse
  • New enterprise and consumer propositions
  • Progress towards telco cloud
  • Application of AI, automation and analytics (A3)

We would like to thank our partners at the GSMA for a good job done well. The GSMA say that there were 60,000 attendees this year, which is down from the 80-100k of 2019 but more than credible given the ongoing COVID-19 situation. It was nonetheless a vibrant and valuable event, and a great opportunity to see many wonderful people again face to face, and indeed, meet some great new ones.

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MWC 2022 in context of its time

It is impossible to write about MWC 2022 without putting it context of its time. It has taken place three days after the Russian invasion of Ukraine started on February 24th, 2022.

Speakers made numerous direct and indirect mentions of the war, and it was clear that a sense of sadness was felt by everyone we spoke to. This slightly offset the enthusiasm and warmth that we and many others felt on being back together in person, with our clients and the industry.

Broad support for the Ukraine was visible among many delegates and there was no Russian delegation. While totally appropriate, the Fira was a little poorer for that as one of the joys of MWC is its truly global embodiment of a vibrant industry.

We all hope for a speedy and peaceful resolution to that situation, and to see our Russian and Ukrainian colleagues again in peace soon. Sadly, as we write from and just after Barcelona, bombs and shells are falling on civilians on the same continent and the route to peace is not yet evident.

As this new and shocking war has come in Europe while COVID is still in a pandemic phase it is a reminder that change and challenge never ends. The telecoms industry responded well to COVID, and now it must again for this and all the challenges it will face in the future, which include further geopolitical risks and shocks and many more opportunities too.

The biggest opportunity for telecoms, and telcos in particular, is to build on the momentum of change rather than rest on its laurels. The threat is that it will settle for a low risk but ultimately lower value path of sticking to the same old same.  We look at the evidence for telcos successfully changing their mindset in New enterprise business: Opening, if not yet changed mindsets.

Connecting technologies

This is my 11th MWC. I came looking for what’s changed and what it means. This is what I found. Andrew Collinson, Managing Director, STL Partners Research.

Cross-dressing and role play

Trying to leave the war at the door, what else did we find at the Fira? One of the mind-bending tasks of walking through the cacophony of sights and sounds of a huge industry ecosystem on display is trying to make sense of what is going on. Who is here, and what are they trying to tell me?

First impressions count. The simple things about how companies present themselves initially mean a great deal. They often show the identity they are trying to project – who or what they are trying to be seen as more than all the detail put together. The first impression I got at MWC 2022 was that almost everyone was trying to dress like someone else.

Microsoft showed photos of cell towers on its stand while all the telco CEOs talked about the “new tech order” and becoming techcos. McKinsey talked about its ‘old friends’ in the telecoms industry and talked about sustainability on its hard-edged stand, while AWS had an advert on the frontage of the Fira and a stand in the “Four Years from Now” zone.

We’re all telcos / techcos now

We're all telcos techcos now

Source: STL Partners, AWS, Microsoft, McKinsey

It’s all about “connecting technologies”

Regular readers of STL’s material will have heard of the Coordination Age: our concept that there is a universal need for better use of resources which will be met in part by the application of connecting technologies (e.g. fibre, mobile, 5G, AI, automation, etc.).

Once upon a time, it was simply people that needed to be connected to each other. Now a huge variety of stuff needs connecting: e.g., devices, computer applications, business processes, business assets and people.

A big question in all this is whether operators have really understood how outdated their traditional operator centric view of the world has become as the industry has changed. Sure, new telecoms networks still need to be built and extended. But it isn’t just operators using licensed technologies that can do this anymore, and the value has increasingly moved to the players that can make all the stuff work: systems integrators and other technology and software players. We’ll cover operators’ mindsets more in the section titled New enterprise business: Opening, if not yet changed mindsets.

Private matters

Private networks was also a big area of focus at MWC 2022, and understandably so too as there is a lot of interest in the concept in various sectors, especially in ports and airports, mining, and manufacturing. Much of the interest for this comes from the hype around 5G which has attracted other industries to look at the technology. However, while there are some interesting developments in practice (for example Huawei and others at Shenzen port in China), many of the applications are at least as well served, and in some cases, better served by other connectivity technologies, e.g. Wi-Fi, wired connections, narrow-band IoT, and 3G / 4G, edge computing and combinations thereof. So 5G is far from the only horse in the race, and we will be looking closely at the boundary conditions and successful use cases for Private 5G in our future research.

Would you pay for “unexpected benefits”?

One great stumbling block for telcos and other business used to traditional business thinking has been “how do you make a business case for new technology?”

The classic telecoms route is to dig around for a cost-saving and revenue enhancement case and then try to bend the CFO’s ear until they give you some money to do your thing. This is fair enough, to a point.

The challenge is, what do you do when you don’t know what you are going to find and/or you can’t prove it? Or worse still, you can only prove it after everybody else in the market has proven it for you and you are then at a competitive disadvantage.

One story I saw and see elsewhere repeated endlessly is that of “unexpected benefits”. This was a phrase that Alison Kirkby, CEO Telia, used to describe what happened when the value of its population movement data was recognised by the Swedish Government during the COVID crisis. It had pulled together the data for one set of reasons, and suddenly this very compelling use came to light.

Another I heard from Qualcomm, which told of putting IoT driven shelf price signs in retail. Originally it was developed to help rapid repricing for consumers in store, then COVID struck a few weeks after installation. This meant people switched to online shopping and the stores were then mainly used by  pickers assembling orders for delivery. The retailer found that by using the signs to help the pickers assemble their loads faster they could make the process about a third more productive. That’s a lot in retail.

This is the reality of transformational business models and technologies. It is incredibly hard to foresee what is really going to work, and how. Even after some time with a new way of working new uses continue to emerge. That’s not to say that you can’t narrow it down a bit – and this is something we spend a lot of our time working on. However, a new thing I will be asking our analysts to help figure out is “how can you tell when and where there are likely to be unexpected benefits?”

 

Table of Contents

  • Executive Summary
  • Introduction
    • MWC 2022 in context of its time
  • MWC 2022: Connecting technologies
    • Cross-dressing and role play
    • Would you pay for “unexpected benefits”?
    • Getting physical, getting heavy
    • Glasses are sexy (again)
    • Europe enviously eyes eastwards
  • New enterprise business: Opening, if not yet changed mindsets
    • Customer centricity: Starting to emerge
    • Becoming better partners: Talking the talk
    • New business models: Not quite there
  • The Metaverse: Does it really matter?
    • Can the Metaverse be trusted?
    • Exploding supply, uncertain quality
    • The non-fungible flexibility paradox
    • A coordinating role for telcos?
    • Don’t write it off, give it a go
  • Consumers: XR, sustainability and smarthome
    • Operators: Aiming for smart and sustainable
    • Vendors and techcos: Would you like AI with that?
    • More Metaverse, VR and AR
    • Other interesting finds: Commerce, identity, video
  • Telco Cloud: The painful gap between theory and practice
    • Brownfield operators are still on their virtualisation journey
    • Greenfield operators: Cloud native and automated from day one
    • Telcos on public could: Shall I, shant I?
  • AI and automation: Becoming adaptive
    • Looking out for good A3 use cases / case studies
    • Evidence of a maturing market?
    • Welcome signs of progress towards the Coordination Age

 

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Telco edge computing: How to partner with hyperscalers

Edge computing is getting real

Hyperscalers such as Amazon, Microsoft and Google are rapidly increasing their presence in the edge computing market by launching dedicated products, establishing partnerships with telcos on 5G edge infrastructure and embedding their platforms into operators’ infrastructure.

Many telecoms operators, who need cloud infrastructure and platform support to run their edge services, have welcomed the partnership opportunity. However, they are yet to develop clear strategies on how to use these partnerships to establish a stronger proposition in the edge market, move up the value chain and play a role beyond hosting infrastructure and delivering connectivity. Operators that miss out on the partnership opportunity or fail to fully utilise it to develop and differentiate their capabilities and resources could risk either being reduced to connectivity providers with a limited role in the edge market and/or being late to the game.

Edge computing or multi-access edge computing (MEC) enables processing data closer to the end user or device (i.e. the source of data), on physical compute infrastructure that is positioned on the spectrum between the device and the internet or hyperscale cloud.

Telco edge computing is mainly defined as a distributed compute managed by a telco operator. This includes running workloads on customer premises as well as locations within the operator network. One of the reasons for caching and processing data closer to the customer data centres is that it allows both the operators and their customers to enjoy the benefit of reduced backhaul traffic and costs. Depending on where the computing resources reside, edge computing can be broadly divided into:

  • Network edge which includes sites or points of presence (PoPs) owned by a telecoms operator such as base stations, central offices and other aggregation points on the access and/or core network.
  • On-premise edge where the computing resources reside at the customer side, e.g. in a gateway on-site, an on-premises data centre, etc. As a result, customers retain their sensitive data on-premise and enjoy other flexibility and elasticity benefits brought by edge computing.

Our overview on edge computing definitions, network structure, market opportunities and business models can be found in our previous report Telco Edge Computing: What’s the operator strategy?

The edge computing opportunity for operators and hyperscalers

Many operators are looking at edge computing as a good opportunity to leverage their existing assets and resources to innovate and move up the value chain. They aim to expand their services and revenue beyond connectivity and enter the platform and application space. By deploying computing resources at the network edge, operators can offer infrastructure-as-a-service and alternative application and solutions for enterprises. Also, edge computing as a distributed compute structure and an extension of the cloud supports the operators’ own journey into virtualising the network and running internal operations more efficiently.

Cloud hyperscalers, especially the biggest three – Amazon Web Services (AWS), Microsoft Azure and Google – are at the forefront of the edge computing market. In the recent few years, they have made efforts to spread their influence outside of their public clouds and have moved the data acquisition point closer to physical devices. These include efforts in integrating their stack into IoT devices and network gateways as well as supporting private and hybrid cloud deployments. Recently, hyperscalers took another step to get closer to customers at the edge by launching platforms dedicated to telecom networks and enabling integration with 5G networks. The latest of these products include Wavelength from AWS, Azure Edge Zones from Microsoft and Anthos for Telecom from Google Cloud. Details on these products are available in section.

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From competition to coopetition

Both hyperscalers and telcos are among the top contenders to lead the edge market. However, each stakeholder lacks a significant piece of the stack which the other has. This is the cloud platform for operators and the physical locations for hyperscalers. Initially, operators and hyperscalers were seen as competitors racing to enter the market through different approaches. This has resulted in the emergence of new types of stakeholders including independent mini data centre providers such as Vapor IO and EdgeConnex, and platform start-ups such as MobiledgeX and Ori Industries.

However, operators acknowledge that even if they do own the edge clouds, these still need to be supported by hyperscaler clouds to create a distributed cloud. To fuel the edge market and build its momentum, operators will, in the most part, work with the cloud providers. Partnerships between operators and hyperscalers are starting to take place and shape the market, impacting edge computing short- and long-term strategies for operators as well as hyperscalers and other players in the market.

Figure 1: Major telco-hyperscalers edge partnerships

Major telco-hyperscaler partnerships

Source: STL Partners analysis

What does it mean for telcos?

Going to market alone is not an attractive option for either operators or hyperscalers at the moment, given the high investment requirement without a guaranteed return. The partnerships between two of the biggest forces in the market will provide the necessary push for the use cases to be developed and enterprise adoption to be accelerated. However, as markets grow and change, so do the stakeholders’ strategies and relationships between them.

Since the emergence of cloud computing and the development of the digital technologies market, operators have been faced with tough competition from the internet players, including hyperscalers who have managed to remain agile while building a sustained appetite for innovation and market disruption. Edge computing is not an exception and they are moving rapidly to define and own the biggest share of the edge market.

Telcos that fail to develop a strategic approach to the edge could risk losing their share of the growing market as non-telco first movers continue to develop the technology and dictate the market dynamics. This report looks into what telcos should consider regarding their edge strategies and what roles they can play in the market while partnering with hyperscalers in edge computing.

Table of contents

  • Executive Summary
    • Operators’ roles along the edge computing value chain
    • Building a bigger ecosystem and pushing market adoption
    • How partnerships can shape the market
    • What next?
  • Introduction
    • The edge computing opportunity for operators and hyperscalers
    • From competition to coopetition
    • What does it mean for telcos?
  • Overview of the telco-hyperscalers partnerships
    • Explaining the major roles required to enable edge services
    • The hyperscaler-telco edge commercial model
  • Hyperscalers’ edge strategies
    • Overview of hyperscalers’ solutions and activities at the edge
    • Hyperscalers approach to edge sites and infrastructure acquisition
  • Operators’ edge strategies and their roles in the partnerships
    • Examples of operators’ edge computing activities
    • Telcos’ approach to integrating edge platforms
  • Conclusion
    • Infrastructure strategy
    • Platform strategy
    • Verticals and ecosystem building strategy

 

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Telco edge computing: What is the operator strategy?

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Edge computing can help telcos to move up the value chain

The edge computing market and the technologies enabling it are rapidly developing and attracting new players, providing new opportunities to enterprises and service providers. Telco operators are eyeing the market and looking to leverage the technology to move up the value chain and generate more revenue from their networks and services. Edge computing also represents an opportunity for telcos to extend their role beyond offering connectivity services and move into the platform and the application space.

However, operators will be faced with tough competition from other market players such as cloud providers, who are moving rapidly to define and own the biggest share of the edge market. Plus, industrial solution providers, such as Bosch and Siemens, are similarly investing in their own edge services. Telcos are also dealing with technical and business challenges as they venture into the new market and trying to position themselves and identifying their strategies accordingly.

Telcos that fail to develop a strategic approach to the edge could risk losing their share of the growing market as non-telco first movers continue to develop the technology and dictate the market dynamics. This report looks into what telcos should consider regarding their edge strategies and what roles they can play in the market.

Following this introduction, we focus on:

  1. Edge terminology and structure, explaining common terms used within the edge computing context, where the edge resides, and the role of edge computing in 5G.
  2. An overview of the edge computing market, describing different types of stakeholders, current telecoms operators’ deployments and plans, competition from hyperscale cloud providers and the current investment and consolidation trends.
  3. Telcos challenges in addressing the edge opportunity: technical, organisational and commercial challenges given the market
  4. Potential use cases and business models for operators, also exploring possible scenarios of how the market is going to develop and operators’ likely positioning.
  5. A set of recommendations for operators that are building their strategy for the edge.

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What is edge computing and where exactly is the edge?

Edge computing brings cloud services and capabilities including computing, storage and networking physically closer to the end-user by locating them on more widely distributed compute infrastructure, typically at smaller sites.

One could argue that edge computing has existed for some time – local infrastructure has been used for compute and storage, be it end-devices, gateways or on-premises data centres. However, edge computing, or edge cloud, refers to bringing the flexibility and openness of cloud-native infrastructure to that local infrastructure.

In contrast to hyperscale cloud computing where all the data is sent to central locations to be processed and stored, edge computing local processing aims to reduce time and save bandwidth needed to send and receive data between the applications and cloud, which improves the performance of the network and the applications. This does not mean that edge computing is an alternative to cloud computing. It is rather an evolutionary step that complements the current cloud computing infrastructure and offers more flexibility in executing and delivering applications.

Edge computing offers mobile operators several opportunities such as:

  • Differentiating service offerings using edge capabilities
  • Providing new applications and solutions using edge capabilities
  • Enabling customers and partners to leverage the distributed computing network in application development
  • Improving networkperformance and achieving efficiencies / cost savings

As edge computing technologies and definitions are still evolving, different terms are sometimes used interchangeably or have been associated with a certain type of stakeholder. For example, mobile edge computing is often used within the mobile network context and has evolved into multi-access edge computing (MEC) – adopted by the European Telecommunications Standards Institute (ETSI) – to include fixed and converged network edge computing scenarios. Fog computing is also often compared to edge computing; the former includes running intelligence on the end-device and is more IoT focused.

These are some of the key terms that need to be identified when discussing edge computing:

  • Network edge refers to edge compute locations that are at sites or points of presence (PoPs) owned by a telecoms operator, for example at a central office in the mobile network or at an ISP’s node.
  • Telco edge cloud is mainly defined as distributed compute managed by a telco  This includes running workloads on customer premises equipment (CPE) at customers’ sites as well as locations within the operator network such as base stations, central offices and other aggregation points on access and/or core network. One of the reasons for caching and processing data closer to the customer data centres is that it allows both the operators and their customers to enjoy the benefit of reduced backhaul traffic and costs.
  • On-premise edge computing refers to the computing resources that are residing at the customer side, e.g. in a gateway on-site, an on-premises data centre, etc. As a result, customers retain their sensitive data on-premise and enjoy other flexibility and elasticity benefits brought by edge computing.
  • Edge cloud is used to describe the virtualised infrastructure available at the edge. It creates a distributed version of the cloud with some flexibility and scalability at the edge. This flexibility allows it to have the capacity to handle sudden surges in workloads from unplanned activities, unlike static on-premise servers. Figure 1 shows the differences between these terms.

Figure 1: Edge computing types

definition of edge computing

Source: STL Partners

Network infrastructure and how the edge relates to 5G

Discussions on edge computing strategies and market are often linked to 5G. Both technologies have overlapping goals of improving performance and throughput and reducing latency for applications such as AR/VR, autonomous vehicles and IoT. 5G improves speed by increasing spectral efficacy, it offers the potential of much higher speeds than 4G. Edge computing, on the other hand, reduces latency by shortening the time required for data processing by allocating resources closer to the application. When combined, edge and 5G can help to achieve round-trip latency below 10 milliseconds.

While 5G deployment is yet to accelerate and reach ubiquitous coverage, the edge can be utilised in some places to reduce latency where needed. There are two reasons why the edge will be part of 5G:

  • First, it has been included in the 5Gstandards (3GPP Release 15) to enable ultra-low latency which will not be achieved by only improvements in the radio interface.
  • Second, operators are in general taking a slow and gradual approach to 5G deployment which means that 5G coverage alone will not provide a big incentive for developers to drive the application market. Edge can be used to fill the network gaps to stimulate the application market growth.

The network edge can be used for applications that need coverage (i.e. accessible anywhere) and can be moved across different edge locations to scale capacity up or down as required. Where an operator decides to establish an edge node depends on:

  • Application latency needs. Some applications such as streaming virtual reality or mission critical applications will require locations close enough to its users to enable sub-50 milliseconds latency.
  • Current network topology. Based on the operators’ network topology, there will be selected locations that can meet the edge latency requirements for the specific application under consideration in terms of the number of hops and the part of the network it resides in.
  • Virtualisation roadmap. The operator needs to consider virtualisation roadmap and where data centre facilities are planned to be built to support future network
  • Site and maintenance costs. The cloud computing economies of scale may diminish as the number of sites proliferate at the edge, for example there is a significant difference in maintaining 1-2 large data centres to maintaining 100s across the country
  • Site availability. Some operators’ edge compute deployment plans assume the nodes reside in the same facilities as those which host their NFV infrastructure. However, many telcos are still in the process of renovating these locations to turn them into (mini) data centres so aren’t yet ready.
  • Site ownership. Sometimes the preferred edge location is within sites that the operators have limited control over, whether that is in the customer premise or within the network. For example, in the US, the cell towers are owned by tower operators such as Crown Castle, American Tower and SBA Communications.

The potential locations for edge nodes can be mapped across the mobile network in four levels as shown in Figure 2.

Figure 2: possible locations for edge computing

edge computing locations

Source: STL Partners

Table of Contents

  • Executive Summary
    • Recommendations for telco operators at the edge
    • Four key use cases for operators
    • Edge computing players are tackling market fragmentation with strategic partnerships
    • What next?
  • Table of Figures
  • Introduction
  • Definitions of edge computing terms and key components
    • What is edge computing and where exactly is the edge?
    • Network infrastructure and how the edge relates to 5G
  • Market overview and opportunities
    • The value chain and the types of stakeholders
    • Hyperscale cloud provider activities at the edge
    • Telco initiatives, pilots and plans
    • Investment and merger and acquisition trends in edge computing
  • Use cases and business models for telcos
    • Telco edge computing use cases
    • Vertical opportunities
    • Roles and business models for telcos
  • Telcos’ challenges at the edge
  • Scenarios for network edge infrastructure development
  • Recommendation
  • Index

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5G strategies: Lessons from the early movers

What’s the best 5G strategy?

When we published the report 5G: The First Three Years in December 2018, we identified that most of the hype – from autonomous cars to surgeons operating from the beach – is at best several years from significant volume. There are no “killer apps” in sight. Telco growth from 5G deployments will be based on greater capacity, lower cost and customer willingness to buy.

If carrier revenue doesn’t rise, the pressure to cut costs will grow

For the last five years, carrier revenue has been almost flat in most countries and we believe this trend is likely to continue.

STL Partners forecasts less than 1% CAGR in telecoms revenues

Mobile and fixed revenue forecast to 2022Source: STL Partners

In our 5G Strategies report series, STL Partners set out to established what 5G actually offers that will enable carriers to make more money in the next few years.

It builds on STL Partners’ previous insights into 5G, including:

The report explores the most recent activities in 5G by operators, vendors, phone makers and chipmakers.

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High-level takeaways from initial 5G deployments

This section provides a high-level overview of the current efforts and activities of select telcos around the world. Broadly, it shows that almost all are pushing ahead on 5G, some much faster than others.

  • Korea is the world’s most advanced 5G market, with two million Koreans having bought 5G phones by July.
    • Korea’s 3.5 GHz networks typically deliver download speeds of 100 – 500 Mbps. SK Telecom and KT are using Samsung equipment. LG Uplus is mostly Huawei. There is little evidence that either vendor has demonstrated superior performance. Korea’s government, supported by the operators, made a decision that speeding ahead on 5G would be valuable prestige and improve the Korean economy. Korea expects to have 200,000 radios in place by the end of 2019, compared with BT which anticipates fewer than 2,500.
  • China Mobile has confirmed Huawei’s estimate that the price of 5G phones will fall to under US$300 in 2020, which will stimulate a sharp increase in demand.
    • The Chinese and the Koreans are investing heavily in augmented and virtual reality and games for 5G. This will take time to mature.
  • Verizon has taken a radical approach to simplifying its core and transport network, partly in preparation for 5G but more generally to improve its cost of delivery. This simplification has allowed it to maintain and even cut some CAPEX investments while delivering performance improvements.
    • 5G mmWave in 28GHz works and often delivers a gigabit. The equipment is of modest size and cost. However, the apparent range of around 200 metres is disappointing (Verizon has not confirmed the range but there is evidence it is short). Verizon expects better range.
  • Sprint’s 160MHz of spectrum at 2.5GHz gives it remarkably wide coverage at 100 – 500 Mbps download speeds. Massive MIMO (multiple-input, multiple-output with 64 or more antennas) at 2.5 GHz works so well that Sprint is achieving great coverage without adding many small cells.
  • Etisalat (UAE) shows that any country that can afford it can deliver 5G today. Around the Gulf, Ooredoo (Kuwait, Qatar), Vodaphone (Qatar), du Telecom (UAE) and STC (Saudi Arabia) are speeding construction to avoid falling behind.
  • BT claims it will “move quickly” and turn on 100 cells per month (which is relatively few in comparison to Korea). BT’s website also claims that 5G has a latency speed of <1 ms, but the first measured latency is 31 ms. At Verizon, latency tests are often a little better than the announced 30 ms. Edge Networks, if deployed, can cut the latency by about half. A faster air interface, Ultra-Reliable Low-Latency Communication (URLLC), expected around 2023, could shave off another 5-7 ms. The business case for URLLC is unproven and it remains to be seen how widely it is deployed. In the rest of the section we look at these and other operators in a little more detail.

Live commercial 5G deployments globally, August 2019

Live 5G commercial deployments as of August 2019

This is the best available information on 5G deployments globally as of August 2019, gathered from both public and private sources. We have excluded operators that have announced 5G launches, but where services are not yet available for consumers to buy, such as AT&T in the US and Deutsche Telekom in Germany.

Table of contents

  • Executive Summary
  • Introduction
    • If carrier revenue doesn’t rise, the pressure to cut costs will grow
  • Operators
    • High-level takeaways
    • European operators
    • Asia Pacific and Middle Eastern operators
    • North America
  • Phone makers
  • 5G system vendors
    • Datang
    • Samsung
    • Ericsson
    • Huawei
    • Nokia
  • Chip makers
    • Qualcomm
    • Samsung
    • Intel
    • MediaTek
    • Huawei-HiSilicon
  • Conclusions: (Almost) all systems go

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Telco apps: What works?

Introduction

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

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

This report builds on previous STL research, notably:

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

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

AI on the Smartphone: What telcos should do 

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Why apps matter for telcos

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

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

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

Global App take up

Source: Ericsson Mobility Report, June 2018

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

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

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

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

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

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

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

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

The delicate transition from SIM toolkit to app

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

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

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

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

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

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

Safaricom app chart

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

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

Table of Contents

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

Table of Figures

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

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Telco M&A strategies: Global analysis

Introduction

Business beyond connectivity – this is the mantra of STL Partners’ vision of the future for telecoms operators, outlined in the recent revamp of our Telco 2.0 vision. Telcos are at a crossroads where they must determine where their businesses will fit into a world of disruptive, fast-moving technologies and uncertain futures.

This means that it is more important than ever to re-evaluate the tools available to telcos to generate growth, expand their business competencies and provide new service offerings outside the core.

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Traditionally, a key telco growth strategy has been to use mergers and acquisitions, particularly of (and with) other telcos, to build scale geographically and in core communications services. However, as operators strive to become more relevant in a changing business landscape, there has been a growing volume of investment in what might be termed ‘digital’ business – business services that leverage technology to build new capabilities and deliver new customer services, experiences and relationships. We distinguish between these two kinds of telecoms M&A as follows:

  • Traditional M&A – “Operators buying operators”
    • Traditional M&A is focused around traditional telecoms M&A where operators buy other operators to expand in new markets or consolidate existing markets.
  • Digital M&A – “Operators investing outside core”
    • Digital M&A refers to non-operator M&A, or all other purchases that telcos make to expand beyond their core connectivity services. Most often this includes investments in software capabilities or industry verticals.

This report examines the landscape of digital M&A from H2 2017 to H1 2018, highlights trends across previous time periods, and outlines strategies for and case studies of digital M&A to illustrate ways that telcos can utilise it in a focused and strategic manner to create long-term value and growth. It does not cover minority venture digital investments; however, these are tracked in our database and will be the subject of future analysis.

This report is the third iteration of STL Partners’ yearly digital M&A and investment report, which began in 2016 and was updated in 2017. It draws on data from our digital M&A tracker tool, which covers 23 operators over five regions from 2012 to H1 2018. A copy of the database is available with this report.

Previous editions of the telco M&A database

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The IoT money problem: 3 options

Introduction

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

This report presents:

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

Overview

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

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

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

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

Mapping the IoT ecosystem

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

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners

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

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

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

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

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

…and the following figures…   

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

The IoT ecosystem and four leading operators’ strategies

The IoT ecosystem

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

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners


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

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

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

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

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

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

Figure 2: IoT vertical markets and use cases

Source: STL Partners

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

 

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

 

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

Digital Services: What is Your Digital Business Worth?

Introduction

When Hewlett Packard’s then-CEO (Carly Fiorina) defended HP’s infamous acquisition of Compaq in 2002, she offered a number of arguments as to why the deal made sense. Firstly, the combined entity would now be able to meet the demands of customers for “solutions on a truly global basis.” Secondly, she claimed that the firm would be able to offer products “from top to bottom, from low-end to high-end.” Lastly, but perhaps most importantly, the merger would generate “synergies that are compelling.”

‘Synergy’ is a straightforward concept: the interaction of two or more entities to produce a combined effect greater than the sum of their parts. Synergistic phenomena are ubiquitous in the natural world, ranging from physics (e.g. the building blocks of atoms), to genetics (e.g. the cooperative interactions among genes in genomes) and the synergies produced by socially-organised groups (e.g. the division of labour).

In the business world, ‘synergy’ refers to the value that is generated by combining two organisations to create a new, more valuable entity. Synergies here can be ‘operational’, such as the combination of functional strengths, or ‘financial’, such as tax benefits or diversification. Traditionally, however, investors have been deeply sceptical of synergies, in terms of both their existence and the ability of M&A activity to deliver them. This was the case with the HP-Compaq merger: the day the merger was announced HP’s stock closed at $18.87, down sharply from $23.21 the previous day.

Recently, ‘synergy’ has also become an increasingly familiar term within the telecommunications industry, owing to activities in two distinct areas. These are now discussed in turn.

Fixed-Mobile Convergence: How tangible are the synergies?

Fixed-mobile convergence (FMC) is a hot topic, and numerous substantial M&A transactions have occurred in this space in recent years (especially in Europe). Figure 1 charts some of these transactions, including publicly available synergy estimates (reflecting cost savings, revenue benefits, or both), below:

Figure 1: Fixed-mobile convergence driven by synergy value

Source: Vodafone, Analysys Mason, STL Partners
* Synergy run-rate by 2016; ** Revenue synergies only

With synergies estimated to account for over 10% of each of these transactions’ valuations, and in the case of Vodafone/KDG nearly 30%, they are clearly perceived as an important driver of value. However, there are two key qualifications to be made here:

  1. Discounted Cash Flow, or ‘DCF’, is theoretically sound but less credible in practice: Each of the estimates of ‘synergy value’ in Figure 1 were constructed using DCF techniques, which attempt to forecast future cash flows and ‘discount’ these to their overall value today (e.g. because one can save cash and earn interest) . Although theoretically sound, there are several problems with DCF in practice.
  2. Certain FMC synergies are more tangible than others: Whilst cost-centric synergies, such as economies of scale (e.g. combined call centres) and access to mobile backhaul, are tangible and easier to quantify, revenue-centric synergies (e.g. quad-play and upselling) are less tangible and more challenging to quantify

These qualifications mirror those raised in the ‘Valuing Digital: A Contentious Yet Vital Business’ Executive Briefing, which discusses the challenges telecoms operators are facing when seeking to generate formal valuations of their digital businesses.

Recap: Digital businesses are especially challenging to value

As telecoms operators’ ambitions in digital services continue to grow, they are increasingly asking what the value of their specific digital initiatives are. Without understanding the value of their digital businesses, telcos cannot effectively govern their individual digital activities: prioritisation, budget allocation and knowing when to close initiatives (‘fast failure’) within digital is challenging without a clear idea of the return on investment different verticals and initiatives are generating. However, telcos face significant challenges across three areas when attempting to value their businesses:

  1. There are challenges in valuing any business (analogue or digital): Although DCF has its drawbacks (see above), any quantitative ‘model’ is necessarily a simplification of reality
  2. Traditional approaches to valuation (e.g. DCF) are inadequate for digital businesses: DCF is especially inappropriate when valuing early-stage digital businesses due to their unique characteristics
  3. The potential for digital services to generate ‘synergy value’ presents further challenges for valuation: Synergy value presents additional conceptual and practical challenges when digital businesses are held within telecoms operators. Figure 2 outlines these below:

Figure 2: Conceptual and practical challenges caused by synergy value

Source: STL Partners

Therefore, telcos (but also the broader technology ecosystem in general) need a new set of tools to answer questions in two key areas. For example:

  1. How should telcos model the market value of their digital businesses?
    • Introducing ‘proxy models’
    • What are the advantages and disadvantages of proxy models?
    • How can a proxy be built to account for issues around limited data availability?
    • Case studies: example valuations of high-profile but privately-held initiatives
  2. How should telcos think about the ‘synergy value’ generated by their digital businesses?
    • What is a useful framework for thinking about synergy value?
    • How are some telcos using clinical trials to assist in the ‘measurement’ of synergies?

 

  • Executive Summary
  • Introduction
  • Fixed-Mobile Convergence: How tangible are the synergies?
  • Recap: Digital businesses are especially challenging to value
  • A Digital Valuation Framework
  • ‘Net synergy’ has four components: benefits and costs, to and from the core
  • Benchmark data theoretically leads to conservative valuations
  • How to Build a Proxy Model
  • What is a ‘Proxy Model’?
  • Proxy models have several advantages over DCF, but they also have data availability challenges
  • Case Study: SK Telecom’s MelOn could be worth $1bn+
  • How to Measure Synergies
  • The Theory: Clinical trials reduce the synergy problem
  • Case Study: A leading European MNO works with its OpCos to run clinical trials
  • Conclusions and Next Steps
  • STL Partners and Telco 2.0: Change the Game

 

  • Figure 1: Fixed-mobile convergence driven by synergy value
  • Figure 2: Conceptual and practical challenges caused by synergy value
  • Figure 3: MTN Mobile Money Uganda, Gross Profit Contribution, 2009-12
  • Figure 4: ‘Net synergy’ across four categories
  • Figure 5: ‘Net synergy’ as a component of digital business value
  • Figure 6: Facebook monthly active users vs. valuation, Q1 2010-Present
  • Figure 7: Proxy model output – SME SaaS providers (financial driver)
  • Figure 8: Total VC Investment by Geography, 2010-13
  • Figure 9: Example operational and financial ‘Emerging Market Discounts’
  • Figure 10: Proxy model output – Digital Music (operational driver; South Korea)
  • Figure 11: Correlation vs. Causation

 

Digital Commerce 2.0: New $50bn Disruptive Opportunities for Telcos, Banks and Technology Players

Introduction – Digital Commerce 2.0

Digital commerce is centred on the better use of the vast amounts of data created and captured in the digital world. Businesses want to use this data to make better strategic and operational decisions, and to trade more efficiently and effectively, while consumers want more convenience, better service, greater value and personalised offerings. To address these needs, Internet and technology players, payment networks, banks and telcos are vying to become digital commerce intermediaries and win a share of the tens of billions of dollars that merchants and brands spend finding and serving customers.

Mobile commerce is frequently considered in isolation from other aspects of digital commerce, yet it should be seen as a springboard to a wider digital commerce proposition based on an enduring and trusted relationship with consumers. Moreover, there are major potential benefits to giving individuals direct control over the vast amount of personal data their smartphones are generating.

We have been developing strategies in these fields for a number of years, including our engagement with the World Economic Forum’s (WEF) Rethinking Personal Data project, and ongoing research into user data and privacy, digital money and payments, and digital advertising and marketing.

This report brings all of these themes together and is the first comprehensive strategic playbook on how smartphones and authenticated personal data can be combined to deliver a compelling digital commerce proposition for both merchants and consumers. It will save customers valuable time, effort and money by providing a fast-track to developing and / or benchmarking a leading edge strategy and approach in the fast-evolving new world of digital commerce.

Benefits of the Report to Telcos, Other Players, Investors and Merchants


For telcos, this strategy report:

  • Shows how to evaluate and implement a comprehensive and successful digital commerce strategy worth up to c.$50bn (5% of core revenues in 5 years)
  • Saves time and money by providing a fast-track for decision making and an outline business case
  • Rapidly challenges / validates existing strategy and services against relevant ‘best in class’, including their peers, ‘OTT players’ and other leading edge players.


For other players including Internet companies, technology vendors, banks and payment networks:

  • The report provides independent market insight on how telcos and other players will be seeking to generate $ multi-billion revenues from digital commerce
  • As a potential partner, the report will provide a fast-track to guide product and business development decisions to meet the needs of telcos (and others) that will need to make commensurate investment in technologies and partnerships to achieve their value creation goals
  • As a potential competitor, the report will save time and improve the quality of competitor insight by giving a detailed and independent picture of the rationale and strategic approach you and your competitors will need to take


For merchants building digital commerce strategies, it will:

 

  • Help to improve revenue outlook, return on investment and shareholder value by improving the quality of insight to strategic decisions, opportunities and threats lying ahead in digital commerce
  • Save vital time and effort by accelerating internal decision making and speed to market


For investors, it will:

  • Improve investment decisions and strategies returning shareholder value by improving the quality of insight on the outlook of telcos and other digital commerce players
  • Save vital time and effort by accelerating decision making and investment decisions
  • Help them better understand and evaluate the needs, goals and key strategies of key telcos and their partners / competitors

Digital Commerce 2.0: Report Content Summary

  • Executive Summary. (9 pages outlining the opportunity and key strategic options)
  • Strategy. The shape and scope of the opportunities, the convergence of personal data, mobile, digital payments and advertising, and personal cloud. The importance of giving consumers control. and the nature of the opportunity, including Amazon and Vodafone case studies.
  • The Marketplace. Cultural, commercial and regulatory factors, and strategies of the market leading players. Further analysis of Google, Facebook, Apple, eBay and PayPal, telco and financial services market plays.
  • The Value Proposition. How to build attractive customer propositions in mobile commerce and personal cloud. Solutions for banked and unbanked markets, including how to address consumers and merchants.
  • The Internal Value Network. The need for change in organisational structure in telcos and banks, including an analysis of Telefonica and Vodafone case studies.
  • The External Value Network. Where to collaborate, partner and compete in the value chain – working with telcos, retailers, banks and payment networks. Building platforms and relationships with Internet players. Case studies include Weve, Isis, and the Merchant Customer Exchange.
  • Technology. Making appropriate use of personal data in different contexts. Tools for merchants and point-of-sale transactions. Building a flexible, user-friendly digital wallet.
  • Finance. Potential revenue streams from mobile commerce, personal cloud, raw big data, professional services, and internal use.
  • Appendix – the cutting edge. An analysis of fourteen best practice and potentially disruptive plays in various areas of the market.