Tag: telco strategy

Telco Cloud Deployment Tracker: 5G core deep dive

Deep dive: 5G core deployments 

In this July 2022 update to STL Partners’ Telco Cloud Deployment Tracker, we present granular information on 5G core launches. They fall into three categories:

  • 5G Non-standalone core (5G NSA core) deployments: The 5G NSA core (agreed as part of 3GPP Release in December 2017), involves using a virtualised and upgraded version of the existing 4G core (or EPC) to support 5G New Radio (NR) wireless transmission in tandem with existing LTE services. This was the first form of 5G to be launched and still accounts for 75% of all 5G core network deployments in our Tracker.
  • 5G Standalone core (5G SA core) deployments: The SA core is a completely new and 5G-only core. It has a simplified, cloud-native and distributed architecture, and is designed to support services and functions such as network slicing, Ultra-Reliable Low-Latency Communications (URLLC) and enhanced Machine-Type Communications (eMTC, i.e. massive IoT). Our Tracker indicates that the upcoming wave of 5G core deployments in 2022 and 2023 will be mostly 5G SA core.
  • Converged 5G NSA/SA core deployments: this is when a dual-mode NSA and SA platform is deployed; in most cases, the NSA core results from the upgrade of an existing LTE core (EPC) to support 5G signalling and radio. The principle behind a converged NSA/SA core is the ability to orchestrate different combinations of containerised network functions, and automatically and dynamically flip over from an NSA to an SA configuration, in tandem – for example – with other features and services such as Dynamic Spectrum Sharing and the needs of different network slices. For this reason, launching a converged NSA/SA platform is a marker of a more cloud-native approach in comparison with a simple 5G NSA launch. Ericsson is the most commonly found vendor for this type of platform with a handful coming from Huawei, Samsung and WorkingGroupTwo. Albeit interesting, converged 5G NSA/SA core deployments remain a minority (7% of all 5G core deployments over the 2018-2023 period) and most of our commentary will therefore focus on 5G NSA and 5G SA core launches.

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75% of 5G cores are still Non-standalone (NSA)

Global 5G core deployments by type, 2018–23

  • There is renewed activity this year in 5G core launches since the total number of 5G core deployments so far in 2022 (effective and in progress) stands at 49, above the 47 logged in the whole of 2021. At the very least, total 5G deployments in 2022 will settle between the level of 2021 and the peak of 2020 (97).
  • 5G in whichever form now exists in most places where it was both in demand and affordable; but there remain large economies where it is yet to be launched: Turkey, Russia and most notably India. It also remains to be launched in most of Africa.
  • In countries with 5G, the next phase of launches, which will see the migration of NSA to SA cores, has yet to take place on a significant scale.
  • To date, 75% of all 5G cores are NSA. However, 5G SA will outstrip NSA in terms of deployments in 2022 and represent 24 of the 49 launches this year, or 34 if one includes converged NSA/SA cores as part of the total.
  • All but one of the 5G launches announced for 2023 are standalone; they all involve Tier-1 MNOs including Orange (in its European footprint involving Ericsson and Nokia), NTT Docomo in Japan and Verizon in the US.

The upcoming wave of SA core (and open / vRAN) represents an evolution towards cloud-native

  • Cloud-native functions or CNFs are software designed from the ground up for deployment and operation in the cloud with:​
  • Portability across any hardware infrastructure or virtualisation platform​
  • Modularity and openness, with components from multiple vendors able to be flexibly swapped in and out based on a shared set of compute and OS resources, and open APIs (in particular, via software ‘containers’)​
  • Automated orchestration and lifecycle management, with individual micro-services (software sub-components) able to be independently modified / upgraded, and automatically re-orchestrated and service-chained based on a persistent, API-based, ‘declarative’ framework (one which states the desired outcome, with the service chain organising itself to deliver the outcome in the most efficient way)​
  • Compute, resource, and software efficiency: as a concomitant of the automated, lean and logically optimal characteristics described above, CNFs are more efficient (both functionally and in terms of operating costs) and consume fewer compute and energy resources.​
  • Scalability and flexibility, as individual functions (for example, distributed user plane functions in 5G networks) can be scaled up or down instantly and dynamically in response to overall traffic flows or the needs of individual services​
  • Programmability, as network functions are now entirely based on software components that can be programmed and combined in a highly flexible manner in accordance with the needs of individual services and use contexts, via open APIs.​

Previous telco cloud tracker releases and related research

Each new release of the tracker is global, but is accompanied by an analytical report which focusses on trends in given regions from time to time:

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Telco Cloud Deployment Tracker: Open RAN deep dive

Telco Cloud: Open RAN is a work in progress

This report accompanies the latest release and quarterly update of STL Partners ‘Telco Cloud Deployment Tracker’ database. This contains data on deployments of VNFs (Virtual Network Functions), CNFs (cloud-native network functions) and SDN (Software Defined Networking) in the networks of the leading telcos worldwide. In this update we have added some additional categories to the database to reflect the different types of virtualised / open RAN:

  1. Open RAN / O-RAN: Fully open, disaggregated, virtualised / cloud-native, with CU / DU split
  2. vRAN: Virtualised CU/DU, with open interfaces but implemented as an integrated, single-vendor platform
  3. Cloud RAN: Single-vendor, virtualised / centralised BU, or CU only, with proprietary / closed interfaces

Cloud RAN is the most limited form of virtualised RAN: It is based on porting part or all of the functionality of the legacy, appliance-based BU into a Virtual Machine. vRAN and open RAN are much more significant, in both technology and business-model terms, breaking open all parts of the RAN to more competition and opportunities for innovation.

Accordingly, the report presents data on only open RAN and vRAN deployments however a granular analysis of each category of RAN deployment can be carried out using the Telco Cloud Tracker tool.

Access our online Telco Cloud Deployment Tracker tool here

Download the additional file for the full dataset of Telco Cloud deployments

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Open RAN and vRAN deployments, 2018 – 2022

Open-RAN-Deployments-Apr-2021-STL-Partners

Source: STL Partners

Open RAN and vRAN

Both Open RAN and vRAN are virtualised (with the exception of NTT DoCoMo as outlined in the report), but ‘open RAN’ implies full disaggregation of the different parts of the RAN (hardware, software and radio), and open interfaces between them. By contrast, vRAN incorporates the open interfaces but is generally deployed as a pre-integrated, single-vendor solution: hardware, software and radio supplied by the same vendor.

To date, there have been significantly more open RAN than vRAN deployments. But vRAN is emerging as a potentially competitive alternative to pure open RAN: offering the same operational benefits and – in theory – multi-vendor openness, but without the overhead of integrating components from multiple vendors, and a ‘single neck to choke’ if things go wrong. Deployments in 2020 were mostly small-scale and / or 4G, including trials which continued to carry live traffic after the trial period came to an end.

The stark contrast between 2021 and 2022 reflects a slight hiatus in commercial deployments as work intensified around integration and operational models, trials, performance optimisation, and cost economics. However, major deployments are expected in 2022, including greenfield networks 1&1 Drillisch (Germany) and DISH (US), Verizon, Vodafone UK, and MTN (Africa and ME).

Scope and content of the Tracker

The data in the latest update of our interactive tool and database covers the period up to March 2022, although reference is made in the report to events and deployments after that date. The data is drawn predominantly from public-domain information contained in news releases from operators and vendors, along with reputable industry media.

We apply the term ‘deployment’ to refer to the total set of VNFs, CNFs or SDN technology, and their associated management software and infrastructure, deployed at an operator – or at one or more of an operator’s opcos or natcos – in order to achieve a defined objective or support particular services (in the spreadsheet, we designate these as the ‘primary purpose’ of the deployment). For example, this could be:

  • to deploy a 5G standalone core
  • to launch a software-defined WAN (SD-WAN) service
  • or to construct a ‘telco cloud’ or NFV infrastructure (NFVi): a cloud infrastructure platform on which virtualised network services can be introduced and operated.

The Tracker is provided as an interactive tool containing line-by-line analysis of over 900 individual deployments of VNFs, CNFs or SDN technology, which can be used to drill down by:

  • Region where deployed
  • Operator
  • Technology vendor
  • Primary purpose
  • Type of telco cloud function deployed
  • …and more filters

Telco Cloud Trial Deployment Tracker

Take a look at the trial of our interactive tool with live, commercial deployments of VNFs, CNFs and SDN technologies worldwide

Previous telco cloud tracker releases

Each new release of the tracker is global, but is accompanied by an analytical report which focusses on trends in given regions from time to time:

 

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Telco Cloud Deployment Tracker: 5G standalone and RAN

Telco cloud 2.0, fuelled by 5G standalone and RAN, is on the starting grid

This report accompanies the latest release and update of STL Partners ‘Telco Cloud Deployment Tracker’ database. This contains data on deployments of VNFs (Virtual Network Functions), CNFs (cloud-native network functions) and SDN (Software Defined Networking) in the networks of the leading telcos worldwide. It builds on an extensive body of analysis by STL Partners over the past nine years on NFV and SDN strategies, technology and market developments.

Access our Telco Cloud Tracker here

Download the additional file for the full dataset of Telco Cloud deployments

Scope and content of the Tracker

The data in the latest update of our interactive tool and database covers the period up to September 2021, although reference is made in the report to events and deployments after that date. The data is drawn predominantly from public-domain information contained in news releases from operators and vendors, along with reputable industry media.

We apply the term ‘deployment’ to refer to the total set of VNFs, CNFs or SDN technology, and their associated management software and infrastructure, deployed at an operator – or at one or more of an operator’s opcos or natcos – in order to achieve a defined objective or support particular services (in the spreadsheet, we designate these as the ‘primary purpose’ of the deployment). For example, this could be:

  • to deploy a 5G standalone core
  • to launch a software-defined WAN (SD-WAN) service
  • or to construct a ‘telco cloud’ or NFV infrastructure (NFVi): a cloud infrastructure platform on which virtualised network services can be introduced and operated.

The Tracker is provided as an interactive tool containing line-by-line analysis of over 900 individual deployments of VNFs, CNFs or SDN technology, which can be used to drill down by:

  • Region where deployed
  • Operator
  • Technology vendor
  • Primary purpose
  • Category of NFV/SDN technology deployed
  • …and more filters

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5G standalone (SA) will hit an inflection point in 2022

5G standalone (SA) core is beginning to take off, with 19 deployments so far expected to be completed in 2022. The eventual total will be higher still, as will that of NSA core, as NSA 5G networks continue to be launched. As non-standalone (NSA) cores are replaced by SA, this will result in another massive wave of core deployments – probably from 2023/4 onwards.

Standalone 5G vs non-standalone 5G core deployments

STL-5G-standalone-core-cloud-tracker-2021

Source: STL Partners

 

Previous telco cloud tracker releases

Each new release of the tracker is global, but is accompanied by an analytical report which focusses on trends in given regions from time to time:

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Digital twins: A catalyst of disruption in the Coordination Age

Digital twins and the Coordination Age

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

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

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

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

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

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What is a digital twin?

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

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

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

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

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

Archetypal customers are:

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

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

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

Source: STL Partners

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

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

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

Table of contents

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

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NFV Deployment Tracker: Global review and update

Welcome to The NFV Deployment Tracker!

This report is the fourth analytical report in the ‘NFV Deployment Tracker’ series and is intended as an accompaniment to the third update of the Tracker Excel spreadsheet (to the end of June 2018).

The update extends the coverage of the Tracker worldwide: adding a comprehensive set of data on live, commercial deployments of NFV and SDN in the African, Latin American and Middle East markets to the existing data set on Asia-Pacific, Europe and North America. In addition, the spreadsheet contains updated and expanded data on deployments in the latter regions.

The expansion of the Tracker’s coverage worldwide presents an opportunity to gain an overview of global SDN and NFV development and deployment trends, and to assess the prospects for the technologies, and the services based on them, going forward.

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Previous editions and other NFV / SDN research

Scope of information provided by the Tracker

The data in the NFV Deployment Tracker is sourced primarily from public-domain information such as telco and vendor press releases and reliable press reports regarding successfully completed deployments and the launch of live, commercial services based on virtualised network functions (VNFs) or SDN. We have also obtained some confidential information direct from operators, which we are unable to present in the detailed break-down of deployments by operator. However, this information has been added to an aggregated data set, which is also provided in the spreadsheet.

The data is therefore limited to verified deployments: production implementations of NFV and SDN powering live services, where we can be confident that the data on the VNFs and IT components involved is accurate and – as far as possible – up to date. We also include some information on deployments planned to be completed by the end of 2017 or by a date as yet unknown, where the information is in the public domain, and where the size and scope of the deployments merit their inclusion.

Contents:

  • Executive Summary
  • The volume and pace of SDN / NFV deployments continues to grow…
  • …but some fundamental challenges remain
  • The focus of deployments varies region by region
  • Operator trends
  • Vendor trends
  • Conclusion
  • Introduction
  • Welcome to the third update of the ‘NFV Deployment Tracker’
  • Scope, definitions and importance of the data
  • Analysis of the global data set
  • Constant growth – but SDN / NFV deployment is far from universal
  • Asia-Pacific ahead on number of deployments despite a slowdown in 2018
  • SD-WAN, SDN, core network functions and orchestration have driven the growth in 2018
  • Operator trends: Leading players rack up the deployments, leaving others lagging far behind
  • Vendor trends: a few major players dominate the scene – but telcos continue to look for alternatives
  • Conclusion 

Figures:

  • Figure 1: Growth in the number of SDN / NFV deployments per year, 2012 to June 2018
  • Figure 2: Breakdown of total deployments by region, 2012 to June 2018
  • Figure 3: Deployments by region, 2014 to 2018
  • Figure 4: Global deployments by higher-level category, 2014 to 2018
  • Figure 5: Deployments in Europe by leading category, 2014 to 2018
  • Figure 6: Asia-Pacific deployments by higher-level category, 2014 to 2018
  • Figure 7: Deployments in North America by leading categories, 2014 to 2018
  • Figure 8: Global deployments of leading VNFs and functional components, 2014 to 2018
  • Figure 9: Total deployments of leading VNFs and functional components, Middle East
  • Figure 10: Leading VNFs and functional components, Latin America
  • 1Figure 11: Leading operators by number of deployments, global
  • Figure 12:  Leading vendors by number of deployments, global
  • Figure 13: Leading vendors by deployment category 25

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NFV Deployment Tracker: Asia takes the lead

Introduction

Welcome to the second update of the ‘NFV Deployment Tracker’

This report is the third analytical report in the ‘NFV Deployment Tracker’ series and is intended as an accompaniment to the second update of the Tracker Excel spreadsheet (dated March 2018).

The update provides a comprehensive set of data on live, commercial deployments of NFV and SDN in the Asia-Pacific market. Under ‘Asia-Pacific’, we include all of the countries of Central, Southern and South-East Asia, along with Oceania. In addition to the new set of data for Asia-Pacific, the spreadsheet contains updated and revised data on deployments in the European and North American regions.

In June 2018, the data set and analysis will be extended to all other regions worldwide, with the aim of providing the industry’s most comprehensive, authoritative source of information on live deployments of NFV and SDN.

Scope, definitions and importance of the data

Detailed explanation of the scope of the information provided in the Tracker, definitions of terms (including how we define a live ‘deployment’ and definitions of frequently used NFV / SDN acronyms) and an account of why we think it is important to track the progress of NFV / SDN are provided in the first analytical report of the series – so we will not repeat them here.

Analysis of the Asia-Pacific data set

Overall data and trends: Asia-Pacific is the largest global market for NFV

We have gathered data on 102 live, commercial deployments of NFV and SDN in Asia-Pacific between 2012 and 2018. These were completed by 33 telcos, including all of the major operators in China, Japan, South Korea and Australia. Deployments have been more limited in India: seven in total, including two global implementations by Tata Communications. Altogether, the data includes information on 203 known Virtual Network Functions (VNFs), functional sub-components and supporting infrastructure elements that have formed part of these deployments.

This means that Asia-Pacific is the largest market for NFV and SDN, measured purely in terms of number of deployments. The Asia-Pacific totals outstrip the updated numbers for both Europe (89 deployments and 182 VNFs / functional components) and North America (62 deployments and 126 VNFs / functional components). The number of operators that have completed deployments is also higher than that in Europe or North America.

Contents:

  • Executive Summary
  • Asia-Pacific is the leading global SDN / NFV market
  • Introduction
  • Welcome to the second update of the ‘NFV Deployment Tracker’
  • Scope, definitions and importance of the data
  • Analysis of the Asia-Pacific data set
  • Overall data and trends: Asia-Pacific is the largest global market for NFV
  • SDN, SD-WAN and core network functions have driven the growth
  • Operator trends: Innovators lead the way, closely followed by the Chinese giants
  • Vendor trends: SD-WAN and vCPE vendors lead the way
  • Conclusion

Figures:

  • Figure 1: Total NFV and SDN deployments in Asia-Pacific, 2012 to 2018
  • Figure 2: Asia-Pacific deployments by higher-level category, 2014 to 2018
  • Figure 3: European deployments by higher-level category, 2014 to 2018
  • Figure 4: North American deployments by higher-level category, 2014 to 2018
  • Figure 5: Leading VNFs and functional components deployed in Asia-Pacific
  • Figure 6: Leading Asia-Pacific operators by number of NFV / SDN deployments
  • Figure 7: Leading vendors by number of deployments

NFV Deployment Tracker – North America: SD-WAN tail wags NFV dog

Introduction

Welcome to the first update of the ‘NFV Deployment Tracker’

This report is the second analytical report in the ‘NFV Deployment Tracker’ series and is intended as an accompaniment to the first update of the Tracker Excel spreadsheet (to December 2017).

The update provides a comprehensive set of data on live, commercial deployments of NFV and SDN in the North American market (including the US, Canada and the Caribbean). In addition, the spreadsheet contains updated and revised data on deployments in the European region.

In March 2018, the data set and analysis will be extended to all other regions worldwide, with the aim of providing the industry’s most comprehensive, authoritative source of information on live deployments of NFV and SDN.

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Scope, definitions and importance of the data

Detailed explanation of the scope of the information provided in the Tracker, definitions of terms (including how we define a live ‘deployment’ and definitions of frequently used NFV / SDN acronyms) and an account of why we think it is important to track the progress of NFV / SDN are provided in the first analytical report of the series – NFV Deployment Tracker: Europe (September 2017).

Contents:

  • Executive Summary
  • Conclusion: strong growth in 2018 will be delivered by the continuing rise of SD-WAN and new consumer use cases
  • Introduction
  • Welcome to the first update of the ‘NFV Deployment Tracker’
  • Scope, definitions and importance of the data
  • Analysis of the North American data set
  • Overall data and trends
  • ‘Service-led Innovation’ has driven the deployments
  • ‘Technology Evolution’ deployments are less in evidence
  • Operator trends: AT&T and Verizon dispute first place, while other players focus on differentiated offers
  • Vendor trends: SD-WAN and vCPE vendors lead the way
  • Conclusion: A dynamic enterprise market – but consumer use cases still outstanding

Figures:

  • Figure 1: Total NFV and SDN deployments in North America, 2011 to 2017
  • Figure 2: North American deployments by higher-level category, 2014 to 2017
  • Figure 3: European deployments by higher-level category, 2014 to 2017
  • Figure 4: Leading North American operators by number of NFV / SDN deployments
  • Figure 5: Leading vendors by number of deployments (North America)

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NFV Deployment Tracker: Europe (September 2017)

This report is discussed in our free webinar recording: Keeping NFV on track – Assessing operator strategies and progress

Introduction

Welcome to The NFV Deployment Tracker!

This report is the first of a new series of statistical and analytical reports tracking the progress of NFV and SDN: ‘The NFV Deployment Tracker’. The ‘Tracker’ builds on an extensive body of analysis by STL Partners over the past two years on NFV and SDN strategies, technology and market developments.

This service will be updated on a quarterly basis and will provide a steadily growing database on live deployments of NFV and SDN by telcos worldwide. The data is presented in an Excel spreadsheet, accompanied by an analytical report presenting the key statistics and trends observed during the quarter.

At launch, the Tracker provides data on the European market; December’s update will also include comprehensive data from the North American market; and in March 2018, we will extend the coverage to Asia and the Rest of the World – while up-to-date information on the markets already included will be added on a continuous basis.

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Scope of information provided by the Tracker

The data in the NFV Deployment Tracker is sourced primarily from public-domain information such as telco and vendor press releases and reliable press reports regarding successfully completed deployments and the launch of live, commercial services based on virtualised network functions (VNFs) or SDN. We have also obtained some confidential information direct from operators, which we are unable to present in the detailed break-down of deployments by operator. However, this information has been added to an aggregated data set, which is also provided in the spreadsheet.

The data is therefore limited to verified deployments: production implementations of NFV and SDN powering live services, where we can be confident that the data on the VNFs and IT components involved is accurate and – as far as possible – up to date. We also include some information on deployments planned to be completed by the end of 2017 or by a date as yet unknown, where the information is in the public domain, and where the size and scope of the deployments merit their inclusion.

In terms of size, the research has focused on Tier-One carriers, including the incumbent or former incumbent operators of every European state, along with leading competitive operators in major markets, Pan-European players and the leading cablecos. We have not included smaller local and regional players, Tier-Three providers and all but the largest Tier-Two carriers. We include all deployments within Europe, even if the parent company involved is headquartered outside of Europe (e.g. US-based Liberty Global, which owns cable assets across Europe). But we do not include deployments at non-European subsidiaries of Europe-based operator groups.

We have also not included activity around proofs of concept (PoCs), live tests or demonstrations of NFV and SDN. This is partly because a lot of this work never comes to fruition in terms of commercial deployments – at least not in quite the same combination of elements as the pre-commercial tests – and partly because the aim of the Tracker is to provide a reliable, comprehensive source of information on actual, commercial implementations of NFV and SDN, from which vendor and telco hype about the technologies has been eliminated.

Contents:

  • Executive Summary: NFV still on the roadmap, but horizons of deployment stretch out
  • Welcome to the NFV Deployment Tracker
  • Scope and importance of the Tracker
  • European data: Steady but unspectacular growth in deployments
  • Conclusion: NFV still squarely on the roadmap, but navigating the landscape is taking longer than scheduled
  • Introduction
  • Welcome to The NFV Deployment Tracker!
  • Scope of information provided by the Tracker
  • Definitions
  • What counts as a deployment?
  • Why is this information important?
  • Analysis of the initial European data set
  • Overall data and trends
  • Winners, losers and low-hanging fruit
  • Vendor trends
  • Operator trends
  • Conclusion
  • NFV is still very much on the roadmap, but the horizon of deployment is stretching out further than anticipated

Figures:

  • Figure 1: Definition of main abbreviations used in this report
  • Figure 2: Total NFV and SDN deployments in Europe, 2009 to 2017
  • Figure 3: Deployments from 2009 to 2017 broken down by higher-level categories
  • Figure 4: Deployments by leading network function and infrastructure category, 2014 to 2017
  • Figure 5: Number of deployments by lead vendor
  • Figure 6: Leading operators in terms of number of deployments

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Digital M&A and Investment Strategies – July 2017 update

Introduction

Digital M&A as a telco strategy

In June 2016 STL Partners published our inaugural Digital M&A and Investment Strategies report and accompanying database, focussing on key digital acquisitions and investments for 22 operators during the period 2012 – H1 2016. We have now updated this report to cover the following 12 months (H2 2016 – H1 2017), to examine new developments in telco digital M&A and a comparison with previous activities.

Communications service providers have long used M&A as a key growth strategy, with the most common approach being to acquire other operators to build scale organically. As growth in telecommunications slowed and user behaviour swung towards mobile, so M&A activity in the mobile sector has increased. However, acquisition opportunities in mature markets are becoming limited as consolidation reduces the number of telcos, whilst in Europe and North America the regulatory environment has made M&A consolidation strategies less viable.

As operators continue to build digital capabilities and strive to deliver digital services and content, M&A and investment beyond ‘traditional telecoms’ is increasing. Telcos need to move beyond a traditional, slow ‘infrastructure-only’ approach, to one focused on agility rather than stability, enablement rather than end-to-end ownership and delivery of solutions, and innovation as well as operational excellence. This report explores the drivers of digital M&A and the strategies of different operators including ‘deep-dive’ analysis of Verizon, AT&T and SoftBank. There is an accompanying database which tracks telco M&A activity for the period.

Drivers for operator M&A and majority investment

Figure 1: Drivers for operator M&A and majority investment – traditional and digital

digital M&A graphic

Source: STL Partners

Traditional/Telco 1.0 drivers: reach and scale

As illustrated in Figure 1, what we refer to as ‘traditional’ or ‘Telco 1.0’ drivers for M&A and investment are well-established:

  1. Extending geographic footprint is a common trend, as many operator groups look to:
    • Enter new markets that are adjacent geographically (e.g. DTAG’s numerous investments in CEE region operators, America Movil’s investments in LatAm),
    • Enter markets that are linked culturally or linguistically (e.g., Telefonica’s acquisitions and investments in Latin American operators),
    • Enter markets that simply offer good opportunities for expanded footprint and increased efficiencies of operation in emerging regions where demand for mobile services is still growing strongly (e.g., SingTel and Etisalat’s numerous investments in operators in Asia and Africa, respectively).
  2. Extending traditional communications offerings is currently the most significant trend, as mobile operators look to acquire fixed network assets and vice versa, to develop compelling multiplay and converged offers for their customers. The recent BT acquisition of EE in the UK is one example.
  3. Consolidation has slowed to some extent, as regulators and competitors fight against mergers or acquisitions that remove players from the market or concentrate too much market power in the hands of stronger service providers. This has been a particular issue in the European Union, where regulators have refused to approve several proposed telecoms M&A deals recently, including Telia and Telenor in Denmark in 2015, and the proposed Hutchison acquisition of Telefónica’s O2 to merge with its subsidiary 3 UK in 2016. Other deals, such as the proposed Orange-Bouygues Telecom merger in France which was abandoned in April 2016, have failed due to the parties involved failing to reach agreement. However, our research shows continued interest in operator M&A for consolidation, with recent examples including Orange’s acquisition of Sun Communications in Moldova in 2016, and Vodafone’s merger with Indian rival Idea in 2017.
  4. The acquisition of service partners – primarily channel partners, or partner companies providing systems integration and consultancy capabilities, typically for enterprise customers – has proved an important driver of M&A for many (mainly converged) operators.
  5. Finally, operator M&A is also being driven by the enthusiasm of sellers. Many operators are looking to sell off assets outside of their home markets, pulling back from markets that have proven too competitive, too small or simply too complicated, as part of a strategy to pay down debt and/or free up assets for investment in other higher-growth areas:
    • Telia’s pullback from its non-core markets has seen it sell off its majority stakes in Spanish operator Yoigo to Masmovil and in Kazakhstan’s Kcell to Turkcell in 2016
    • Telefonica’s attempt to sell its O2 UK mobile unit to CK Hutchison having failed, the Spanish operator is now looking to other ways of raising capital both to pay down its debt, including a planned IPO of O2 UK.

Contents:

  • Executive Summary
  • Evaluating operator digital investment strategies
  • Key findings
  • Recommendations
  • Introduction
  • Drivers for operator M&A and majority investment
  • Evaluating operator digital investment strategies
  • 22 players across 5 regions: US shows the most aggressive M&A activity
  • Comparison with previous period (H1 2012 – H1 2016)
  • European telcos remain largely focussed on Telco 1.0 M&A
  • Which sectors are attracting the most interest?
  • Telco M&A investment is falling behind other verticals
  • What are the cultural challenges to digital M&A in the boardroom?
  • Operator M&A Strategies in detail: Consolidation, content and technology
  • M&A as a telco growth strategy
  • Adapting telco culture to ensure digital M&A success
  • Recommendations

Figures:

  • Figure 1: Drivers for operator M&A and majority investment – traditional and digital
  • Figure 2: Number of operator digital acquisitions and majority investments, H2 2016-H1 2017
  • Figure 3: Largest 7 telco digital M&A and majority investments, H2 2016-H1 2017
  • Figure 4: Number of operator digital acquisitions and majority investments, H1 2012 – H1 2016
  • Figure 5: Operator digital acquisitions and majority investments, H1 2012-H1 2017
  • Figure 6: Largest 10 telco digital M&A and majority investments, H1 2012 – H1 2016
  • Figure 7: Mapping of operator digital M&A strategies
  • Figure 8: Number of digital M&A and majority investments by sector/category, H2 2016-H1 2017
  • Figure 9: Comparison of investment in digital M&A as a percentage of service revenues, 2012-H1 2017

How to build an open source telco – and why?

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Introduction: Why an open source telecom?

Commercial pressures and technological opportunities

For telcos in many markets, declining revenues is a harsh reality. Price competition is placing telcos under pressure to reduce capital spending and operating costs.

At the same time, from a technological point of view, the rise of cloud-based solutions has raised the possibility of re-engineering telco operations to be run with virtualised and open sourced software on low cost, general purpose hardware.

Indeed, rather than pursuing the traditional technological model, i.e. licensing proprietary solutions from the mainstream telecoms vendors (e.g. Ericsson, Huawei, Amdocs, etc.), telcos can increasingly:

  1. Progressively outsource the entire technological infrastructure to a vendor;
  2. Acquire software with programmability and openness features: application programming interfaces(APIs) can make it easier to program telecommunications infrastructure.

The second option promises to enable telcos to achieve their long-standing goals of decreasing the time-to-market of new solutions, while further reducing their dependence on vendors.

Greater adoption of general IT-based tools and solutions also:

  • Allows flexibility in using the existing infrastructure
  • Optimises and reuses the existing resources
  • Enables integration between operations and the network
  • And offers the possibility to make greater use of the data that telcos have traditionally collected for the purpose of providing communications services.


In an increasingly squeezed commercial context, the licensing fees applied by traditional vendors for telecommunication solutions start to seem unrealistic, and the lack of flexibility poses serious issues for operators looking to push towards a more modern infrastructure. Moreover, the potential availability of competitive open source solutions provides an alternative that challenges the traditional model of making large investments in proprietary software, and dependence on a small number of vendors.

Established telecommunications vendors and/or new aggressive ones may also propose new business models (e.g., share of investments, partnership and the like), which could be attractive for some telcos.

In any case, operators should explore and evaluate the possibility of moving forward with a new approach based on the extensive usage of open source software.

This report builds on STL Partners’ 2015 report, The Open Source Telco: Taking Control of Destiny which looked at how widespread use of open source software is an important enabler of agility and innovation in many of the world’s leading internet and IT players. Yet while many telcos then said they crave agility, only a minority use open source to best effect.

In that 2015 report, we examined the barriers and drivers, and outlined six steps for telcos to safely embrace this key enabler of transformation and innovation:

  1. Increase usage of open source software: Overall, operators should look to increase their usage of open source software across their entire organisation due to its numerous strengths. It must, therefore, be consistently and fairly evaluated alongside proprietary alternatives. However, open source software also has disadvantages, dependencies, and hidden costs (such as internally-resourced maintenance and support), so it should not be considered an end in itself.
  2. Increase contributions to open source initiatives: Operators should also look to increase their level of contribution to open source initiatives so that they can both push key industry initiatives forward (e.g. OPNFV and NFV) and have more influence over the direction these take.
  3. Associate open source with wider transformation efforts: Successful open source adoption is both an enabler and symptom of operators’ broader transformation efforts, and should be recognised as such. It is more than simply a ‘technical fix’.
  4. Bring in new skills: To make effective use of open source software, operators need to acquire new software development skills and resources – likely from outside the telecoms industry.
  5. … but bring the whole organisation along too: Employees across numerous functional areas (not just IT) need to have experience with, or an understanding of, open source software – as well as senior management. This should ideally be managed by a dedicated team.
  6. New organisational processes: Specific changes also need to be made in certain functional areas, such as procurement, legal, marketing, compliance and risk management, so that their processes can effectively support increased open source software adoption.

This report goes beyond those recommendations to explore the changing models of IT delivery open to telcos and how they could go about adopting open source solutions. In particular, it outlines the different implementation phases required to build an open source telco, before considering two scenarios – the greenfield model and the brownfield model. The final section of the report draws conclusions and makes recommendations.

Why choose to build an open source telecom now?

Since STL Partners published its first report on open source software in telecoms in 2015, the case for embracing open source software has strengthened further. There are three broad trends that are creating a favourable market context for open source software.

▪ Digitisation – the transition to providing products and services via digital channels and media. This may sometimes involve the delivery of the product, such as music, movies and books, in a digital form, rather than a physical form.

▪ Virtualisation – executing software on virtualised platforms running on general-purpose hardware located in the cloud, rather than purpose-built hardware on premises. Virtualisation allows a better reuse of large servers by decoupling the relationship of one service to one server. Moreover, cloudification of these services means they can be made available to any connected device on a full-time basis.

▪ Softwarisation – the redefinition of products and services though software. This is an extension of digitisation, i.e., the digitisation of music has allowed the creation of new services and propositions (e.g. Spotify). The same goes for the movie industry (e.g. Netflix) or the transformation of the book industry (e.g. ebooks) and newspapers. This paradigm is based on:

  • The ability to digitise the information (transformation of the analogue into a digital signal).
  • Availability of large software platforms offering relevant processing, storage and communications capabilities.
  • The definition of open and reusable application programming interfaces (APIs) which allow processes formerly ‘trapped’ within proprietary systems to be managed or enhanced with other information and by other systems.

These three features have started a revolution that is transforming other industries, e.g. travel agencies (e.g. Booking.com), large hotel chains (e.g. Airbnb), and taxis (e.g. Uber). Softwarisation is also now impacting other traditional industries, such as manufacturing (e.g., Industry 4.0) and, for sure, telecommunications.

Softwarisation in telecommunications amounts to the use of virtualisation, cloud computing, open APIs and programmable communication resources to transform the current network architecture. Software is playing a key role in enabling new services and functions, better customer experience, leaner and faster processes, faster introduction of innovation, and usually lower costs and prices. The softwarisation trend is very apparent in the widespread interest in two emerging technologies: network function virtualization (NFV) and software defined networking (SDN).

The likely impact of this technological transformation is huge: flexibility in service delivery, cost reduction, quicker time to market, higher personalisation of services and solutions, differentiation from competition and more. We have outlined some key telco NFV/SDN strategies in the report Telco NFV & SDN Deployment Strategies: Six Emerging Segments.

What is open source software?

A generally accepted open source definition is difficult to achieve because of different perspectives and some philosophical differences within the open source community.

One of the most high-profile definitions is that of the Open Source Initiative, which states the need to have access to the source code, the possibility to modify and redistribute it, and non-discriminatory clauses against persons, groups or ‘fields of endeavour’ (for instance, usage for commercial versus academic purposes) and others.

For the purpose of this report, STL defines open source software as follows:

▪ Open source software is a specific type of software for which the original source code is made freely available and may be redistributed and modified. This software is usually made available and maintained by specialised communities of developers that support new versions and ensure some form of backward compatibility.

Open source can help to enable softwarisation. As an example, it has greatly helped in moving from proprietary solutions in the web server sector to a common software platform (named LAMP) based on the Linux operating system, the Apache Http server, Mysql server, PhP programming language. All these components are made available as open source. This essentially means that people can freely acquire the source code, modify it and use it. Modifications and improvements are to be returned to the development community.

One of the earliest and most high profile examples of open source software was the Linux operating system, a Unix-like operating system developed under the model of free and open source software development and distribution.

Open source for telecoms: Benefits and barriers

The benefits of using open source for telecoms

As discussed in our earlier report, The Open Source Telco: Taking Control of Destiny, the adoption and usage of open source solutions are being driven by business and technological needs. Ideally, the adoption and exploitation of open source will be part of a broader transformation programme designed to deliver the specific operator’s strategic goals.

Operators implementing open source solutions today tend to do so in conjunction with the deployment of network function virtualization (NFV) and software defined networking (SDN), which will play an important role for the definition and consolidation of the future 5G architectures.

However, as Figure 1 shows, transformation programmes can face formidable obstacles, particularly where a cultural change and new skills are required.

Benefits of transformation and related obstacles

The following strategic forces are driving interest in open source approaches among telecoms operators:

Reduce infrastructure costs. Telcos naturally want to minimise investment in new technologies and reduce infrastructure maintenance costs. Open source solutions seem to provide a way to do this by reducing license fees paid to solution vendors under the traditional software procurement model. As open source software usually runs on general-purpose hardware, it could also cut the capital and maintenance costs of the telco’s computing infrastructure. In addition, the current trend towards virtualisation and SDN should enable a shift to more programmable and flexible communications platforms. Today, open source solutions are primarily addressing the core network (e.g., virtualisation of evolved packet core), which accounts for a fraction of the investment made in the access infrastructure (fibre deployment, antenna installation, and so forth). However, in time open source solutions could also play a major role in the access network (e.g., open base stations and others): an agile and well-formed software architecture should make it possible to progressively introduce new software-based solutions into access infrastructure.

Mitigate vendor lock-in. Major vendors have been the traditional enablers of new services and new network deployments. Moreover, to minimise risks, telco managers tend to prefer to adopt consolidated solutions from a single vendor. This approach has several consequences:

  • Telcos don’t tend to introduce innovative new solutions developed in-house.
  • As a result, the network is not fully leveraged as a differentiator, and can become the full care and responsibility of a vendor.
  • The internal innovation capabilities of a telco have effectively been displaced in favour of those of the vendor.

This has led to the “ossification” of much telecoms infrastructure and the inability to deliver differentiated offerings that can’t easily be replicated by competitors. Introducing open source solutions could be a means to lessen telcos’ dependence on specific vendors and increase internal innovation capabilities.

Enabling new services. The new services telcos introduce in their networks are essentially the same across many operators because the developers of these new services and features are a small set of consolidated vendors that offer the same portfolio to all the industry. However, a programmable platform could enable a telco to govern and orchestrate their network resources and become the “master of the service”, i.e., the operator could quickly create, customise and personalise new functions and services in an independent way and offer them to their customers. This capability could help telcos enter adjacent markets, such as entertainment and financial services, as well as defend their core communications and connectivity markets. In essence, employing an open source platform could give a telco a competitive advantage.

Faster innovation cycles. Depending on a vendor makes the telco dependent on its roadmap and schedule, and on the obsolescence and substitution of existing technologies. The use of out-dated technologies has a huge impact on a telco’s ability to offer new solutions in a timely fashion. An open source approach offers the possibility to upgrade and improve the existing platform (or to move to totally new technologies) without too many constraints posed by the “reference vendor”. This ability could be essential to acquiring and maintaining a technological advantage over competitors. Telcos need to clearly identify the benefits of this change, which represent the reasons, the “why”, for the softwarisation.

Complete contents of how to build an open source telecom report:

  • Executive Summary
  • Introduction: why open source?
  • Commercial pressures and technological opportunities
  • Open Source: Why Now?
  • What is open source software?
  • Open source: benefits and barriers
  • The benefits of using open source
  • Overcoming the barriers to using open source
  • Choosing the right path to open source
  • Selecting the right IT delivery model
  • Choosing the right model for the right scenario
  • Weighing the cost of open source
  • Which telcos are using open source today?
  • How can you build an open source telco?
  • Greenfield model
  • Brownfield model
  • Conclusions and recommendations
  • Controversial and challenging, yet often compelling
  • Recommendations for different kinds of telcos

Figures:

  • Figure 1: Illustrative open source costs versus a proprietary approach
  • Figure 2: Benefits of transformation and the related obstacles
  • Figure 3: The key barriers in the path of a shift to open source
  • Figure 4: Shaping an initial strategy for the adoption of open source solutions
  • Figure 5: A new open source component in an existing infrastructure
  • Figure 6: Different kinds of telcos need to select different delivery models
  • Figure 7: Illustrative estimate of Open Source costs versus a proprietary approach

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

Introduction

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

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

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

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

Apple’s evolving strategy

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

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

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

Content:

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

Figures:

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

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

Introduction

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

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

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

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

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

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

Contents:

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

Figures:

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

Consumer communications: Can telcos mount a comeback?

Introduction

Although they make extensive use of WhatsApp, Facebook Messenger, Snapchat and other Internet-based communications services, consumers still expect mobile operators to enable them to make voice calls and text messages. Indeed, communication services are widely regarded as a fundamental part of a telco’s proposition, but telcos’ telephony and messaging services are losing ground to the Internet-based competitors and are generating less and less revenue.

Should telcos allow this business to gradually melt away of should they attempt to rebuild a competitive communications proposition for consumers? How much strategic value is there in providing voice calls and messaging services?

This report explores telcos’ strategic options in the consumer communications market, building on previous STL Partners’ research reports, notably:

Google/Telcos’ RCS: Dark Horse or Dead Horse?

WeChat: A Roadmap for Facebook and Telcos in Conversational Commerce

This report evaluates telcos’ current position in the consumer market for voice calls and messaging, before considering what they can learn from three leading Internet-based players: Tencent, Facebook and Snap. The report then lays out four strategic options for telcos and recommends which of these options particular types of telcos should pursue.

Content:

  • Introduction
  • Executive Summary
  • What do telcos have to lose?
  • Key takeaways
  • Learning from the competition
  • Tencent pushes into payments to monetise messaging
  • Facebook – nurturing network effects with fast footwork
  • Snapchat – highly-focused innovation
  • Telcos’ strategic options
  • Maximise data traffic
  • Embed communications into other services
  • Differentiate on reliability, security, privacy and reach
  • Compete head-on with Internet players
  • Recommendations

Figures:

  • Figure 1: Vodafone still makes large sums from incoming calls & messages
  • Figure 2: Usage of Vodafone’s voice services is rising in emerging markets
  • Figure 3: Vodafone Europe sees some growth in voice usage
  • Figure 4: Internet-based services are overtaking telco services in China
  • Figure 5: Usage of China Mobile’s voice services is sliding downwards
  • Figure 6: China Mobile’s SMS traffic shows signs of stabilising
  • Figure 7: Vodafone’s SMS volumes fall in Europe, but rise in AMAP
  • Figure 8: Voice & messaging account for 38% of China Mobile’s service revenues
  • Figure 9: Line is also seeing rapid growth in advertising revenue in Japan
  • Figure 10: More WeChat users are making purchases through the service
  • Figure 11: About 20% of WeChat official accounts act as online shops
  • Figure 12: Line’s new customer service platform harnesses AI
  • Figure 13: Snapchat’s user growth seems to be slowing down
  • Figure 14: Vodafone Spain is offering zero-rated access to rival services
  • Figure 15: Google is integrating communications services into Maps
  • Figure 16: Xbox Live users can interact with friends and other gamers
  • Figure 17: RCS is being touted as a business-friendly option
  • Figure 18: Turkcell’s broad and growing range of digital services

Autonomous cars: Where’s the money for telcos?

Introduction

Connected cars have been around for about two decades. GM first launched its OnStar in-vehicle communications service in 1996. Although the vast majority of the 1.4 billion cars on the world’s roads still lack embedded cellular connectivity, there is growing demand from drivers for wireless safety and security features, and streamed entertainment and information services. Today, many people simply use their smartphones inside their cars to help them navigate, find local amenities and listen to music.

The falling cost of cellular connectivity and equipment is now making it increasingly cost-effective to equip vehicles with their own cellular modules and antenna to support emergency calls, navigation, vehicle diagnostics and pay-as-you-drive insurance. OnStar, which offers emergency, security, navigation, connections and vehicle manager services across GM’s various vehicle brands, says it now has more than 11 million customers in North America, Europe, China and South America. Moreover, as semi-autonomous cars begin to emerge from the labs, there is growing demand from vehicle manufacturers and technology companies for data on how people drive and the roads they are using. The recent STL Partners report, AI: How telcos can profit from deep learning, describes how companies can use real-world data to teach computers to perform everyday tasks, such as driving a car down a highway.

This report will explore the connected and autonomous vehicle market from telcos’ perspective, focusing on the role they can play in this sector and the business models they should adopt to make the most of the opportunity.

As STL Partners described in the report, The IoT ecosystem and four leading operators’ strategies, telcos are looking to provide more than just connectivity as they strive to monetise the Internet of Things. They are increasingly bundling connectivity with value-added services, such as security, authentication, billing, systems integration and data analytics. However, in the connected vehicle market, specialist technology companies, systems integrators and Internet players are also looking to provide many of the services being targeted by telcos.

Moreover, it is not yet clear to what extent the vehicles of the future will rely on cellular connectivity, rather than short-range wireless systems. Therefore, this report spends some time discussing different connectivity technologies that will enable connected and autonomous vehicles, before estimating the incremental revenues telcos may be able to earn and making some high-level recommendations on how to maximise this opportunity.

 

  • Executive Summary
  • The role of cellular connectivity
  • High level recommendations
  • Contents
  • Introduction
  • The evolution of connected cars
  • How to connect cars to cellular networks
  • What are the opportunities for telcos?
  • How much cellular connectivity do vehicles need?
  • Takeaways
  • The size of the opportunity
  • How much can telcos charge for in-vehicle connectivity?
  • How will vehicles use cellular connectivity?
  • Telco connected car case studies
  • Vodafone – far-sighted strategy
  • AT&T – building an enabling ecosystem
  • Orange – exploring new possibilities with network slicing
  • SoftBank – developing self-driving buses
  • Conclusions and Recommendations
  • High level recommendations
  • STL Partners and Telco 2.0: Change the Game 

 

  • Figure 1: Incremental annual revenue estimates by service
  • Figure 2: Autonomous vehicles will change how we use cars
  • Figure 3: Vehicles can harness connectivity in many different ways
  • Figure 4: V2X may require large numbers of simultaneous connections
  • Figure 5: Annual sales of connected vehicles are rising rapidly
  • Figure 6: Mobile connectivity in cars will grow quickly
  • Figure 7: Estimates of what telcos can charge for connected car services
  • Figure 8: Potential use cases for in-vehicle cellular connectivity
  • Figure 9: Connectivity complexity profile criteria
  • Figure 10: Infotainment connectivity complexity profile
  • Figure 11: In-vehicle infotainment services estimates
  • Figure 12: Real-time information connectivity complexity profile
  • Figure 13: Real-time information services estimates
  • Figure 14: The connectivity complexity profile for deep learning data
  • Figure 15: Collecting deep learning data services estimates
  • Figure 16: Insurance and rental services’ connectivity complexity profile
  • Figure 17: Pay-as-you-drive insurance and rental services estimates
  • Figure 18: Automated emergency calls’ connectivity complexity profile
  • Figure 19: Automated emergency calls estimates
  • Figure 20: Remote monitoring and control connectivity complexity profile
  • Figure 21: Remote monitoring and control of vehicle services estimates
  • Figure 22: Fleet management connectivity complexity profile
  • Figure 23: Fleet management services estimates
  • Figure 24: Vehicle diagnostics connectivity complexity profile
  • Figure 25: Vehicle diagnostics and maintenance services estimates
  • Figure 26: Inter-vehicle coordination connectivity complexity profile
  • Figure 27: Inter-vehicle coordination revenue estimates
  • Figure 28: Traffic management connectivity complexity profile
  • Figure 29: Traffic management revenue estimates
  • Figure 30: Vodafone Automotive is aiming to be global
  • Figure 31: Forecasts for incremental annual revenue increase by service

AI: How telcos can profit from deep learning

The enduring value of connected assets

In the digital economy, the old adage knowledge is power applies as much as ever. The ongoing advances in computing science mean that knowledge (in the form of insights gleaned from large volumes of detailed data) can increasingly be used to perform predictive analytics, enabling new services and cutting costs. At the same time, the widespread deployment of connected devices, appliances, machines and vehicles (the Internet of Things) now means enterprises can get their hands on granular real-time data, giving them a comprehensive and detailed picture of what is happening now and what is likely to happen next.

A handful of companies already have a very detailed picture of their markets thanks to far-sighted decisions to add connectivity to the products they sell. Komatsu, for example, uses its Komtrax system to track the activities of almost 430,000 bulldozers, dump-trucks and forklifts belonging to its customers. The Japan-based company has integrated monitoring technologies and connectivity into its construction and mining equipment since the late 1990s. Komatsu says the Komtrax system is standard equipment on “most Komatsu Tier-3 Construction machines” and on most small utility machines and backhoes.

Komatsu’s machines ship with GPS chips that can pinpoint their position, together with a unit that gathers engine data. They can then transmit the resulting data to a communication satellite, which relays that information to the Komtrax data centre.

The data captured by Komtrax (and other Internet of Things solutions) has value on multiple different levels:

  • It provides Komatsu with market intelligence
  • It enables Komatsu to offer value added services for customers
  • It gives detailed data on the global economy that can be used for computer modelling and to support the development of artificial intelligence

Market intelligence for Komatsu

For Komatsu, Komtrax provides valuable information about how its customers use its equipment, which can then be used to refine its R&D activities. Usage data can also help sales teams figure out which customers may need to upgrade or replace their equipment and when.

Komatsu’s sales and finance departments use the findings, for example, to offer trade-ins and sales of lighter machines where heavy ones are underused. Its leasing firm can also use the information to help find customers for its rental fleet.

Furthermore, Komatsu is linking market information directly with its production plants through Komtrax (see Figure 1). It says its factories “aggressively monitor and analyse the conditions of machine operation and abrasion of components” to enable Komatsu and its distributors to improve operations by better predicting the lifetime of parts and the best time for overhauls.

Figure 1: How Komatsu uses data captured by its customers’ equipment

Source: Komatsu slide adapted by STL Partners

Value added services for customers

The Komtrax system can also flag up useful information for Komatsu’s customers. Komatsu enables its customers to access the information captured by their machines’ onboard units, via an Internet connection to the Komtrax data centre.

Customers can use this data to monitor how their machines are being used by their employees. For example, it can show how long individual machines are sitting idle and how much fuel they are using. Komatsu Australia, for example, says Komtrax enables its customers to track a wide range of performance indicators, including:

  • Location
  • Operation map (times of day the engine was on/off)
  • Actual fuel consumptionAverage hourly fuel consumption
  • Residual fuel level
  • High water temperature during the day’s operation
  • Dashboard cautions
  • Maintenance reminders/notifications
  • “Night Time” lock
  • Calendar lock
  • Out of Area alerts
  • Movement generated position reports
  • Actual working hours (engine on time less idle time)
  • Operation hours in each work mode (economy, power, breaker, lifting)
  • Digging hours
  • Hoisting hours
  • Travel hours
  • Hydraulic relief hours
  • Eco-mode usage hours
  • Load frequency (hours spent in four different load levels determined by pump pressures or engine torque)

 

Content:

  • Introduction
  • Executive Summary
  • The enduring value of connected assets
  • Tapping telecoms networks
  • Enabling Deep Neural Networks
  • Real world data: the raw material
  • Learning from Tesla
  • The role of telcos
  • Conclusions and Recommendations

Figures:

  • Figure 1: How Komatsu uses data captured by its customers’ equipment
  • Figure 2: Interest in deep learning has risen rapidly in the past two years
  • Figure 3: Deep learning buzz has helped drive up Nvidia’s share price
  • Figure 4: The key players in the development of deep learning technology
  • Figure 5: Mainstream enterprises are exploring deep learning
  • Figure 6: The automotive sector is embracing Nvidia’s artificial intelligence
  • Figure 7: Google Photos learns when users correct mistakes
  • Figure 8: Tesla’s Autopilot system uses models to make decisions
  • Figure 9: Tesla is collecting very detailed data on how to drive the world’s roads

Amazon: Telcos’ Chameleon-King Ally?

Introduction

Amazon is using an array of innovative propositions to sidestep the Android-Apple duopoly in the smartphone market and Facebook’s rapidly expanding digital commerce ecosystem. Amazon’s vast selection, unparalleled logistics, innovative bundling, laser-like focus on the customer, rapidly improving entertainment proposition and leadership in voice-controlled in-home systems mean the Seattle-based e-commerce giant is fast becoming a omnipresent convenience store that always has what you want, when you want it.

Continually reinventing itself, Amazon’s restlessness could seriously disrupt the balance of power between the major global Internet ecosystems. Although the Amazon, Apple, Facebook and Google ecosystems all originate from the PC-era, they have each managed to successfully extend their digital platforms into the smartphone and tablet markets. But not without a dramatic change in the pecking order. In fact, the advent of touch-controlled smartphones enabled Apple to become a major force in the digital consumer market, while weakening the position of its long-standing foe Microsoft.

Now these ecosystems need to navigate the tricky transition to voice-controlled digital platforms, which depend heavily on advanced speech recognition, artificial intelligence and machine learning technologies. Amazon is leading the way, having created this new market with the rollout of its Echo speaker, underpinned by the cloud-based Alexa personal assistant system.

This report analyses Amazon’s financial firepower, the Amazon Prime bundle and strategy of bundling entertainment with retail, before considering Amazon’s areas of relative weakness – the smartphone and communications markets. In this section, the report also considers whether Amazon can sustain its lead in the nascent market for voice-controlled speakers for the home.

It concludes by exploring whether Amazon has sufficient economies of scope to build the expertise in artificial intelligence that will be required to ensure the Apple-Android duopoly that exists in the smartphone market won’t also dominate the emerging smart home sector. Finally, it considers the ramifications for telcos and makes several high level recommendations.

The global e-commerce market

Online commerce continues to grow rapidly. In 2016, global retail e-commerce sales (products and services ordered via the internet) will rise almost 24% to reach $1.915 trillion in 2016, according to research firm eMarketer. As that represents just 8.7% of total retail spending worldwide, there is plenty more growth to come. eMarketer expects retail ecommerce sales will increase to $4.058 trillion in 2020, making up 14.6% of total retail spending that year (see Figure 1).

Figure 1: Retail online commerce continues to grow rapidly

The major global Internet ecosystems – Amazon, Apple, Facebook and Google – all take a slice of this market. Within their ecosystems, they act as brokers bringing buyers and sellers together, earning a commission for facilitating interactions and transactions. Google and Facebook are the leading players in online advertising, while Apple is a leading distributor of digital content: Although Apple still generates most of its revenue from devices, its App Store and iTunes service are now major contributors to its top line. Still, in online commerce, Amazon rules the roost: Its online marketplace, which offers a vast selection of products and services from millions of merchants, continues to grow rapidly.

 

  • Introduction
  • Executive Summary
  • The global e-commerce market
  • Amazon’s financial firepower
  • Key takeaways
  • Amazon Prime: The Convenience Engine
  • Eroding Google Search
  • Key takeaways
  • Why Amazon wants to entertain us
  • A push into user-generated content
  • Key takeaways
  • Amazon’s Devices: Ups and Downs
  • Navigating Google’s mobile maze
  • Amazon’s Attempts to Develop Device Platforms
  • Key takeaways
  • Communications: Amazon’s Blind Spot?
  • Conclusions and Recommendations

Google/Telcos’ RCS: Dark Horse or Dead Horse?

Introduction

The strategic importance of digital communications services is rising fast, as these services now look set to become a major conduit for digital commerce. Messaging services are increasingly enabling interactions and transactions between consumers and businesses. Largely pioneered by WeChat in China, the growing integration of digital communications and commerce services looks like a multi-billion dollar boon for Facebook and a major headache for Amazon, eBay and Google, as outlined in the recent STL Partners report: WeChat: A Roadmap for Facebook and Telcos in Conversational Commerce.

This report analyses Google’s and telcos’ strategic position in the digital communications market, before exploring the recent agreement between leading telcos, the GSMA and Google to use the Android operating system to distribute RCS (Rich Communications Service), which is designed to be a successor to SMS and MMS. Like SMS, RCS is intended to work across networks, be network-based and be the default mobile messaging service, but it also goes far beyond SMS, by supporting rich features, such as video calling, location sharing, group chat and file sharing.

The report then undertakes a SWOT (strengths, weaknesses, opportunities and threats) analysis on the new Google supported RCS proposition, before considering what telcos need to do next to give the service any chance of seeing widespread adoption.

Google’s strategic headache

To Google’s alarm, mobile messaging looks set to become the next major digital commerce platform. In some ways, this is a logical progression of what has come before. Although neither Google nor Amazon, two of the leading digital commerce incumbents, seem well prepared for the rise of “conversational commerce”, communications and commerce have always been interwoven – physical marketplaces, for example, serve both functions. In the digital era, new communications services, such as SMS, email and mobile calls, were quickly adopted by companies looking to contact consumers. Even now, businesses continue to rely very heavily on email to communicate with consumers, and with each other, and through Gmail, Google has a strong position in this segment.

But many consumers, particularly younger people, now prefer to use mobile messaging and social networking services to communicate with friends and family and are using email, which was developed in the PC era, less and less. People are spending more and more time on messaging apps – some industry executives estimate that consumers spend 40% of their time on a mobile phone purely in a messaging app. Understandably, businesses are looking to follow consumers on to mobile messaging and social networking services. Crucially, some of these services are now enabling businesses to transact, as well as interact, with customers, cutting the likes of Amazon and Google out of the loop entirely.

Largely pioneered by Tencent’s WeChat/Weixin service in China, the growing integration of digital communications and commerce services could be a multi-billion dollar boon for Facebook, the leading provider of digital messaging services in much of the world. The proportion of WeChat users making purchases through the service leapt to 31% in 2016 up from 15% in 2015, according to Mary Meeker’s Global Internet Trends report 2016. Moreover, users of WeChat’s payment service now make more than 50 payments a month through the service (see Figure 1), highlighting the convenience of ordering everyday products and services through a messaging app. In March 2016, Tencent reported the combined monthly active users of the Weixin and WeChat messaging services reached 697 million at the end of 2015, representing annual growth of 39%. See WeChat: A Roadmap for Facebook and Telcos in Conversational Commerce for more on this key trend in the digital economy.

Figure 1: WeChat users find it convenient to combine payments and messaging 

Source: Mary Meeker’s Global Internet Trends 2016

 

  • Executive summary
  • Contents
  • Introduction
  • Google’s strategic headache
  • Winner takes all?
  • Google’s attempts to crack communications
  • Telcos’ long goodbye
  • RCS – a very slow burn
  • VoLTE sees broader support
  • Google and telcos: a match made in heaven?
  • A new phase in the Google-telcos relationship?
  • Building a business case
  • Conclusions
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Next steps
  • Lay the foundations
  • What will Google do next?

 

  • Figure 1: WeChat users find it convenient to combine payments and messaging
  • Figure 2: Using Weixin Pay to complete a transaction in a fast food outlet
  • Figure 3: Leading communications & media sharing apps by downloads
  • Figure 4: Deutsche Telekom’s RCS app’s features include location sharing
  • Figure 5: All-IP communications services are gaining some traction with operators
  • Figure 6: Google Places aims to connect businesses and consumers
  • Figure 7: SWOT analysis of operators’ IP communications proposition
  • Figure 8: TOWS analysis for telcos in all-IP communications