Telco edge platforms: Balancing speed vs value

Defining the edge

Edge computing has been hailed as key to help deliver the promises of 5G, enabling transformative use cases and experiences. Significantly for mobile service providers, deriving value from their networks and presence at the edge remains an aspiration for a new source of revenues and a more favourable position in the value chain. There is strong belief that this needs to exceed what was achieved with 3G and 4G, where OTT players built entire businesses through successful services using centralised platforms leveraging fast, ubiquitous internet access. Mobile operators remain hopeful that they can evolve from ‘dumb pipes’ and derive more value from dynamic connectivity services, value added platforms, and partnerships.

The edge means different things to different people, so it is useful to define terminology and clarify the scope of this report. We understand the edge to refer to compute, storage and networking infrastructure, facilities, software, and services which exist physically or architecturally between typically non-telco cloud data centres and end-devices. This report will focus on the ‘telco edge’ for both mobile and fixed line telecoms operators.  The term MEC (initially ETSI’s Mobile Edge Computing which evolved to Multi-access Edge Computing) has historically been used for telco edge predominantly with a focus on deployment in the access network, however as we will see its use has somewhat broadened as telcos initially deploy edge computing more centrally.

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The edge continuum spans between end devices and hyperscale cloud

It is common practice to define an edge continuum in a diagram such as below which shows the different edge locations between an end device and the hyperscaler cloud. Typically, the physical distance, the number of network hops, and network latency will increase the further the edge location shifts to the right.

The edge continuum

edge platform

In considering the telco edge, we will primarily be focussed on the network edge, consisting of data centres logically situated in telco’s access, transport, and core network facilities. The on-premise edge (sometimes referred to enterprise or private edge) may be offered by telcos and others to enterprises but is closely related to private 4G/5G networks and single tenant propositions which are out of scope of this report. STL has written about this in reports such as Private networks: Lessons so far and what next and Combining private 5G and edge computing: The revenue opportunity.

The network edge affords a wide range of choices to deliver edge services from within the network. Network edge also includes neutral host providers that offer facilities for multiple infrastructure providers, which support enterprise applications, as well as radio access networks. These may be offered by traditional telcos, tower infrastructure providers and others.

The regional edge sits outside telco networks at internet exchanges, carrier exchanges, interconnect points, co-location, and data centre facilities. Multiple parties can deploy infrastructure at such locations which are designed as neutral, well-connected locations for third party equipment.  For some use cases, these locations are considered as ‘close enough’ or ‘near enough’ edge sites.

Edge computing drivers and benefits vary depending on the use case

While low latency is often cited as the justification for moving application workloads from the cloud to the edge, there are other drivers such as reduced data transit, data sovereignty and improving redundancy. These factors may be just as relevant as low latency, or more so, depending on the specific use case.

Edge computing benefits

Migrating workloads from end-devices to the edge can also bring benefits such as reduced power consumption, allowing smaller form factors at lower costs, and enabling experiences that are simply not possible on existing devices due to heavy computational requirements. Processing in the cloud may have been previously dismissed due to its limitations or constraints. One consumer example would be Instagram or Snapchat real-time video filters with heavy machine learning processing requirements. The processing for these may move to the edge to improve and standardise performance across devices, by not relying on the end-device’s processing power. Partners

However, the public cloud is well established and here to stay, so it is prudent to view the edge as complementary to and an extension of the public cloud, offering characteristics which may be important for specific components of certain use cases.

Table of Contents

  • Executive Summary
    • Most telcos do not yet see demand for a fully distributed edge
    • The platform is an important piece of the edge, but the verdict is still out on which approach to take
    • Telcos need to guarantee multi-cloud and multi-edge orchestration for their customers
    • Next steps
  • Introduction
    • Defining the edge
    • The state of the edge
  • Cloud vs edge
    • Contrasting public cloud and public edge
    • Latency in fixed vs mobile networks
    • The rationale for telco edge
  • Telco edge propositions and use cases
    • Internal applications for telcos
    • External applications for telcos
    • Telco edge propositions based on telco’s capabilities
    • Potential use case opportunities for telco edge
  • Where is the telco edge?
    • Edge really means core for now
    • Challengers to the telco edge
  • Building the telco edge platform
    • Edge developers want a consistent and seamless experience
    • The potential providers of network edge platforms
    • Cloud-centric capabilities and business models are key the success of telco edge platforms
  • Overcoming challenges
    • Telco industry challenges
    • External challenges
  • Conclusion: What should telcos do?

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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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VNFs on public cloud: Opportunity, not threat

VNF deployments on the hyperscale cloud are just beginning

Numerous collaboration agreements between hyperscalers and leading telcos, but few live VNF deployments to date

The past three years have seen many major telcos concluding collaboration agreements with the leading hyperscalers. These have involved one or more of five business models for the telco-hyperscaler relationship that we discussed in a previous report, and which are illustrated below:

Five business models for telco-hyperscaler partnerships

Source: STL Partners

In this report, we focus more narrowly on the deployment, delivery and operation by and to telcos of virtualised and cloud-native network functions (VNFs / CNFs) over the hyperscale public cloud. To date, there have been few instances of telcos delivering live, commercial services on the public network via VNFs hosted on the public cloud. STL Partners’ Telco Cloud Deployment Tracker contains eight examples of this, as illustrated below:

Major telcos deploying VNFs in the public cloud

Source: STL Partners

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Telcos are looking to generate returns from their telco cloud investments and maintain control over their ‘core business’

The telcos in the above table are all of comparable stature and ambition to the likes of AT&T and DISH in the realm of telco cloud but have a diametrically opposite stance when it comes to VNF deployment on public cloud. They have decided against large-scale public cloud deployments for a variety of reasons, including:

  • They have invested a considerable amount of money, time and human resources on their private clouddeployments, and they want and need to utilise the asset and generate the RoI.
  • Related to this, they have generated a large amount of intellectual property (IP) as a result of their DIY cloud– and VNF-development work. Clearly, they wish to realise the business benefits they sought to achieve through these efforts, such as cost and resource efficiencies, automation gains, enhanced flexibility and agility, and opportunities for both connectivityand edge compute service innovation. Apart from the opportunity cost of not realising these gains, it is demoralising for some CTO departments to contemplate surrendering the fruit of this effort in favour of a hyperscaler’s comparable cloud infrastructure, orchestration and management tools.
  • In addition, telcos have an opportunity to monetise that IP by marketing it to other telcos. The Rakuten Communications Platform (RCP) marketed by Rakuten Symphony is an example of this: effectively, a telco providing a telco cloud platform on an NFaaS basis to third-party operators or enterprises – in competition to similar offerings that might be developed by hyperscalers. Accordingly, RCP will be hosted over private cloud facilities, not public cloud. But in theory, there is no reason why RCP could not in future be delivered over public cloud. In this case, Rakuten would be acting like any other vendor adapting its solutions to the hyperscale cloud.
  • In theory also, telcos could also offer their private telcoclouds as a platform, or wholesale or on-demand service, for third parties to source and run their own network functions (i.e. these would be hosted on the wholesale provider’s facilities, in contrast to the RCP, which is hosted on the client telco’s facilities). This would be a logical fit for telcos such as BT or Deutsche Telekom, which still operate as their respective countries’ communications backbone provider and primary wholesale provider

BT and Deutsche Telekom have also been among the telcos that have been most visibly hostile to the idea of running NFs powering their own public, mass-market services on the public and hyperscale cloud. And for most operators, this is the main concern making them cautious about deploying VNFs on the public cloud, let alone sourcing them from the cloud on an NFaaS basis: that this would be making the ‘core’ telco business and asset – the network – dependent on the technology roadmaps, operational competence and business priorities of the hyperscalers.

Table of contents

  • Executive Summary
  • Introduction: VNF deployments on the hyperscale cloud are just beginning
    • Numerous collaboration agreements between hyperscalers and leading telcos, but few live VNF deployments to date
    • DISH and AT&T: AWS vs Azure; vendor-supported vs DIY; NaaCP vs net compute
  • Other DIY or vendor-supported best-of-breed players are not hosting VNFs on public cloud
    • Telcos are looking to generate returns from their telco cloud investments and maintain control over their ‘core business’
    • The reluctance to deploy VNFs on the cloud reflects a persistent, legacy concept of the telco
  • But NaaCP will drive more VNF deployments on public cloud, and opportunities for telcos
    • Multiple models for NaaCP present prospects for greater integration of cloud-native networks and public cloud
  • Conclusion: Convergence of network and cloud is inevitable – but not telcos’ defeat
  • Appendix

Related Research

 

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Telco plays in live entertainment

Enhancing live entertainment

Live entertainment spans everything from a handful of people enjoying stand-up comedy in a pub to a football match attended by 100,000 fans. Although there are many different forms and formats of live entertainment, they share three inter-related characteristics – immediacy, interactivity and immersion. The performers make things happen and people tend to react, by clapping, shouting, singing or gesticulating at the performers or by interacting with each other. A compelling event will also be immersive in the sense that the spectators will focus entirely on the action.

For telcos, live events present specific challenges and opportunities. Simultaneously providing millions of people with high quality images and audio from live events can soak up large amounts of bandwidth on networks, forcing telcos to invest in additional capacity. Yet, it should be feasible to make a return on that investment: live events are an enormously popular form of entertainment on which people around the world are prepared to spend vast sums of money. This is a market where demand often outstrips supply: tickets for top tier sports events or music concerts can cost US$150 or more.

With the advent of 5G and Wi-Fi 6E, telcos have an opportunity to improve spectators’ enjoyment of live events both within a venue and in remote locations. Indeed, telcos could play a key role in enabling many more people to both participate in and appreciate live entertainment, thereby helping them to enjoy more fulfilling and enriching lives.

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The opportunities to use new technologies to enhance live events

Live entertainment

Source: STL Partners

More broadly, telecoms networks and related services have become fundamental to the smooth running of our increasingly digital economy. 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 live entertainment, telcos can help people to make better use of their leisure time – a precious and very finite resource for most individuals.

This report begins by providing an overview of the live entertainment opportunity for telcos, outlining the services they could provide to support both professional and amateur events. It then considers the growing demand for high-definition, 360-degree coverage of live events, before discussing why it is increasingly important to deliver footage in real-time, rather than near real-time. Subsequent sections explore the expanding role of edge computing in facilitating live broadcasts and how augmented reality and virtual reality could be used to create more immersive and interactive experiences.

This report draws on the experiences and actions of AT&T, BT, NTT and Verizon, which are all very active in the coverage of live sports. It also builds on previous STL Partners research including:

Contents

  • Executive Summary
  • Introduction
  • Opportunities to enhance live entertainment
    • Amateur entertainment – a B2C play
  • Delivering high-definition/360-degree video
    • New broadcast technologies
    • Real-time encoding and compression
    • Traffic management and net neutrality
  • Real real-time coverage and stats
    • More data and more stats
    • Personalised advertising and offers
  • Edge computing and the in-event experience
    • Refereeing automation/support
    • In-venue security and safety
    • Wi-Fi versus 5G
  • Augmented reality – blurring the lines
  • Conclusions
    • Tech can enrich people’s experience of live events
    • The role of telcos
  • Index

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Forecasting capacity of network edge computing

Telco edge build has been slower than expected

Telecoms operators have been planning the deployment of edge computing sites for at least the last three years.

Initially, the premise of (mobile) edge computing was to take advantage of the prime real estate telecoms operators had. Mobile operators, in particular, had undergone a process of evolving their network facilities from sites which housed purpose-built networking equipment to data centres as they adopted virtualisation. The consolidation of networking equipment meant there would be spare capacity in these data centres that could easily host applications for enterprises and developers.

That evolution has now been accelerated by the advent of 5G, a mobile generation built on a software-based architecture and IT principles. The result will be a proliferation of edge data centres that will be used for radio access network and core network hardware and software.

However, the reality is that it has taken time for telcos to deploy these sites. There are multiple reasons for this:

  1. Cost: There is a cost to renovate an existing telco site and ensure it meets requirements common for world-class data centres.
  2. Demand: Telcos are hesitant to take on the risk of building out the infrastructure until they are certain of the demand for these data centres.
  3. 5G roll-out: Mobile operators have been prioritising their 5G RAN roll-out in the last two years, over the investment in edge data centres.
  4. Partnership decisions: The discussion around who to partner with to build the edge data centres has become more complicated, because of the number of partners vying for the role and the entrance of new partners (e.g. hyperscalers) which has slowed down decision-making

Download the additional file to view the accompanying spreadsheet

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Early adopters have taken significant strides in their edge strategy in 2021

2020 and 2021 have been seen as inflection points as a number of leading telecoms operators have launched edge sites: e.g. AT&T, Verizon, Cox Communications, SK Telecom and Vodafone. Arguably, this was triggered by AWS announcing partnerships on AWS Wavelength with four telecoms operators in November 2019, with more recently announced (e.g. Telstra in 2021).

Going forward, key questions remain on the trajectory of telco edge build:

  • How many edge data centres will telcos build and make available for consumer/enterprise applications?
  • How much capacity of telco edge computing will there be globally?
  • How much of telco edge computing will be used for distributed core network functions vs. consumer/enterprise applications?
  • What proportion of telco edge data centre capacity will be taken up by hyperscalers’ platforms?

This report seeks to forecast the capacity at telecoms operators’ edge data centres until 2025 and provide clarity on the nature and location of these sites. In other words, how many sites and servers will be available for running applications and where will these sites be located, both physically and logically in the telecoms operators’ networks.

Before reading this report, we would recommend reading STL Partners’ previous publications on telco edge computing to provide context for some of the key themes addressed, for example:

The report focuses on network edge computing sites

Edge computing comprises of a spectrum of potential location and technologies designed to bring processing power closer to the end-device and source of data, outside of a central data centre or cloud. This report focuses on forecasting capacity at the network edge – i.e. edge computing at edge data centres owned (and usually operated) by telecoms operators.

The initial version of the forecast models capacity at these sites for non-RAN workloads. In other words, processing for enterprise or consumer applications and the distributed core network functions required to support them. Future versions of the forecast will expand to RAN.

Forecast scope in terms of edge locations and workload types

The report covers two out of three scenarios for building the network edge

Table of content

  • Executive summary
  • Introduction
  • There are 3 key factors determining telco edge data centre build out
  • Logically, most network edge will be in the transport aggregation layer
  • Geographically, we will see a shift in the concentration of network edge data centres
  • The limited capacity at network edge DCs will largely be used for edge applications
  • Most telecoms operators are taking a hybrid approach to building their edge
  • Conclusions and next steps
  • Appendix: Methodology

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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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Microsoft, Affirmed and Metaswitch: What does it mean for telecoms?

What is Microsoft doing, and should telcos be worried?

Over the past two years, Microsoft and its cloud business unit Azure have intensified and deepened their involvement in the telecoms vertical. In 2020, this included the acquisition of two leading independent vendors of cloud-native network software, Affirmed Networks and Metaswitch. This move surprised many industry observers, as it represented an intensification of Microsoft’s involvement in telco networking.

In addition, in September 2020, Microsoft announced its ‘Azure for Operators’ strategy. This packages up all the elements of Microsoft’s and Azure’s infrastructure and service offerings for the telecoms industry – including those provided by Affirmed and Metaswitch – into a more comprehensive, end-to-end portfolio organised around Microsoft’s concept of a ‘carrier-grade cloud’: a cloud that is truly capable of supporting and delivering the distinct performance and reliability that telcos require from their network functions, as opposed to the mainstream cloud devoted to enterprise IT.

In this report, our discussion of Microsoft’s strategy and partnership offer to telcos is our own interpretation based on our research, including conversations with executives from Microsoft, Affirmed Networks and Metaswitch.

We examine Microsoft’s activities in the telecoms vertical in the light of three central questions:

  • What is Microsoft doing in telecoms, and what are its intentions?
  • How should telcos respond to Microsoft’s moves and those of comparable hyperscale cloud providers? Should they consume the hyperscalers’ telco cloud products, compete against the hyperscalers, or collaborate with them?
  • And what would count as success for telcos in relationship to Microsoft and the other hyperscalers? Are there any lessons to be learned from what is happening already?

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Microsoft’s telecom timeline

The last couple of years has seen Microsoft and Azure increasing their involvement in telecoms infrastructure and software while building partnerships with telcos around the world. This march into telecoms stepped up a level with Microsoft’s acquisition in 2020 of two independent virtual network function (VNF) vendors with a strong presence in the mobile core, among other things: Affirmed Networks and Metaswitch. Microsoft was not previously known for its strength in telco network software, and particularly the mobile domain – prompting the question: what exactly was it doing in telecoms?

The graphic below illustrates some of the key milestones in Microsoft’s steady march into telecoms.

Microsoft’s move on telecoms

Microsoft’s five partnership and service models

Microsoft Azure’s key initiatives over the past two years have been to expand its involvement in telecoms, culminating in Microsoft’s acquisition of Affirmed and Metaswitch, and the launch of the Azure for Operators portfolio.

As a result of these initiatives, we believe there are five models of partnership and service delivery that Microsoft is now proposing to operators, addressing the opportunities arising from a convergence of network, cloud and compute. Altogether, these five models are:

Five business models for partnerships

  • A classic telco-vendorrelationship (e.g. with Affirmed or Metaswitch) – helping telcos to evolve their own cloud-native network functions (CNFs), and cloud infrastructure and operations
  • The delivery and management of VNFs and CNFs as a cloud service, or ‘Network Functions-as-a-Service’ (NFaaS)
  • Enabling operators to pursue a hybrid-cloud operating model supporting the delivery of their own vertical-specific and enterprise applications and services, or Platform-as-a-Service (PaaS)
  • Rolling out Azure edge-cloud data centres into telco and enterprise edge locations to serve as a cloud delivery platform for third-party application developers providing low latency-dependent and high-bandwidth services, or ‘Network-as-a-Cloud Platform’ (NaaCP)
  • Using such Azure edge clouds – in enterprise and neutral facilities alongside telco edge locations – as the platform for full-fledged ‘net compute’ services, whether these are developed collaboratively with operators or not.

Table of Contents

  • Executive Summary
    • Microsoft wants to be a win-win partner
    • What should telcos and others do?
    • Next steps
  • Introduction
    • What is Microsoft doing, and should telcos be worried?
  • What has Microsoft done?
    • Microsoft’s telecom timeline
  • What is Microsoft’s strategy?
    • Microsoft’s five partnership and service models
    • The ‘Azure for Operators’ portfolio completes the set
    • 5G, cloud-native and net compute: Microsoft places itself at the heart of telco industry transformation
    • Cellular connectivity – particularly 5G – is pivotal
  • Telco-hyperscaler business models: What should telcos do?
    • Different hyperscalers have different telco strategies: comparison between Azure, AWS and Google Cloud
    • What should telcos do? Compete, consume or collaborate?
  • Microsoft’s ecosystem partnership model: What counts as success for telcos?
    • More important to grow the ecosystem than share of the value chain
    • Real-world examples: AT&T versus Verizon
  • Conclusion: Telcos should stay in the net compute game – and Microsoft wants be a partner
  • Appendix 1: Analysis of milestones of Microsoft’s journey into telecoms
  • Appendix 2: Opportunities and risks of different types of telco-hyperscaler partnership
  • Index

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DataSpark: Lessons on building a new telco (data) business

Data analytics as a new business

This case study looks at DataSpark, an autonomous business unit of Singtel (www.dsanalytics.com) and evaluates the benefits of creating a separate organisational structure within a telco to provide technology and support for the development of analytics, AI and automation as a new business. It is created after conversations with Shaowei Ying, Chief Operating Officer of DataSpark. The company’s activities include both the creation of internal capabilities and data monetisation capabilities for external customers.

DataSpark was formed in 2014 at a time when not many telcos were actively exploring new data business opportunities. The unit consisted of a small group of data professionals with skills around, particularly, location data. Singtel’s CEO was a strong supporter of leveraging telco data to establish competitive differentiation and therefore tasked them with looking at various location-related external monetisation opportunities. It was considered natural to create internal use cases for the data to defray the cost of the data preparation. In particular, the same mobility intelligence was of use to radio network planners optimising their network roll out using not just congestion, but now subscribers’ mobility patterns, too.

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DataSpark’s progress to date

Telcos’ external monetisation units, such as DataSpark, are not yet large enough to split out the revenues in their reports and accounts. However, in the 2018 and 2019 Management Discussion and Analysis DataSpark’s progress was reported to include:

  • Activity to bring mobility data to sectors such as transport and out-of-home media in Singapore and Australia
  • Partnership in out-of-home advertising with large players taking a data-as-a-service solution to optimise their assets
  • Provision of insights including first party enterprise data in the consumer goods sector to deliver new use cases in advertising and retail store inventory optimisation
  • Recent support for governments in predicting spread of Covid-19, including understanding the socio-economic impact of the virus.

Service example: COVID-19 insight for the Australian local government

COVID-19 data analytics innovation

Source: DataSpark

Table of Contents

  • Executive Summary
    • Two diverging strategies for a small, independent data unit
    • Scaling up the data business as an integrated unit
  • Introduction
    • DataSpark’s progress to date
  • DataSpark’s approach to building a data unit
    • What services does it offer?
    • Go-to-market: Different approaches for internal and external customers
    • Organisational structure: Where should a data unit go?
  • How to scale a data business?
    • The immediate growth opportunities
    • Following in others’ footsteps
    • Building new capabilities for external monetisation
  • Assessing future strategies for DataSpark
    • Scenario 1: Double down on internal data applications
    • Scenario 2: Continue building an independent business

 

Read more about STL Partners’ AI & automation research at stlpartners.com/ai-analytics-research/

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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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