Tag: IoT

The Economy of Things: Unlocking the true value of IoT data

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Progressing the Economy of Things (EoT)

The Internet of Things (IoT) has rapidly gained traction in the last decade. Many billions of IoT devices and machine-to-machine (M2M) applications have been developed creating efficiencies and enabling more intelligent, informed and automated decision-making in industries as diverse as manufacturing, healthcare, and transportation. Despite this, telcos are struggling to unlock significant IoT revenues today .

The unfulfilled potential of the IoT

The true value of IoT data today is unrealised and not business enabled. Today, data insights generated from IoT are typically focused on improving internal efficiencies within one organisation. In the future, IoT should both drive internal efficiencies and create new revenue opportunities through making some of the data available for external organisations to purchase.

The fact that the IoT data generated cannot be shared across different IoT devices and systems, is missing a great opportunity to unlock wider collective value across a broad network of connected devices. Most IoT devices are closed command and control solutions where only the device and the manager of the device can communicate. This siloed approach means that opportunities are missed to combine data sources to create more contextualised insights with deeper value.

economy of things

For example, while a coffee company may know what coffee you order (data collected from your connected coffee machine), without sharing that data across a broader network (such as data also collected from your connected smart metre, fridge and car), they will lack the wider context of your other habits/likes/dislikes which limits the targeted advertising they can achieve. Device owners are also often unwilling to share their IoT data with other businesses citing concerns around data security and authorisation and the difficulty in providing an immutable track record of each transaction.

So, how can data generated from IoT devices be monetised and shared across the wider ecosystem?

Economy of Things: The natural next step

The answer could lie in EoT. The term was coined by the IBM Institute for Business Value and represents the ”liquification of the physical world” where physical assets (the ”things”) in IoT become participants in digital markets . EoT signifies a network of participating connected “things” that can interact and communicate with each other to trade and transact autonomously. EoT offers the ability to anchor an identity to an IoT device to be able to transact autonomously. EoT provides true interoperability that can redefine the limits of a traditional IoT ecosystem.

Driving the transition from IoT to EoT relies on creating a platform that creates open participation and collaboration between a cross-industry ecosystem of partners. This interoperable infrastructure helps bring EoT into reality, providing the fundamental brokerage of data products, services and IoT data across the platform.

We are expecting to see the inflection point by 2028 as businesses look towards the EoT to enable the monetisation of their IoT data. This inflection is partly being driven by the sheer number of connected IoT devices that exist today within close proximity to each other. Each are capturing transactional data that could be of value to the other, rather than from larger data sets from distributed sources.

We forecast that the number of EoT devices will grow at a compound annual growth rate of nearly 70% from 2024 to 2030, representing up to 10% of total IoT devices by 2030. Of these EoT devices, up to 20% will be cellular connected devices by 2030.

Economy of Things

Table of Contents

  • Executive Summary
  • Introduction
    • The unfulfilled potential of the IoT
  • Economy of Things: The natural next step
    • Transitioning to the Economy of Things
  • Enter Vodafone DAB platform
  • Initial EoT use cases focus on mobility
    • Vodafone debut use case: EV charging
    • Supply chain monitoring is another leading EoT use case
    • There are endless potential use cases
    • Primary revenue stream revolves around data monetisation
  • Recommendations for enterprises
  • A message from our sponsor

Related research

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Should telcos dive deeper into energy?

Introduction

Some telcos have been dabbling in the energy market for a decade or more, partly reflecting the interdependent nature of the two industries. In the past two years, energy has climbed up the agenda of telcos’ management teams, as the electricity and gas sectors experience another major wave of disruption.

In much of the world, energy prices have surged as a result of the war in the Ukraine and the subsequent sanctions against Russia. At the same time, the ongoing transition to renewable energy in response to climate change is opening up new sources of supply and bringing in new players. The cost of wind and solar power, and battery storage is falling steadily, while many policymakers are introducing further incentives to hasten the transition away from oil, natural gas and coal.

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In 2022, energy prices have surged around the world

Source: The IEA

In August 2022, for example, US President Joe Biden signed the Inflation Reduction Act, bringing with it, tax incentives and other measures that should significantly boost the deployment of renewable energy and storage (large-scale batteries). The Act earmarks US$369 billion to help bring about a 40% reduction in greenhouse gas levels by 2030, by supporting electric vehicles (EVs), energy efficiency and building electrification, wind, solar photovoltaic (PV), green hydrogen, battery storage and other technologies. For example, the Act introduces an investment tax credit for standalone energy storage, which can lower the capital cost of equipment by about 30%.

As policymakers and consumers seek out new energy propositions to try and contain rising costs and greenhouse gas emissions, some telcos, such as Telstra and Polsat Plus, are seeing strategic opportunities to build deeper relationships with households. To that end, they are pushing deeper into the energy market, investing in generation capacity, as well as developing retail propositions.

Our landmark report The Coordination Age: A third age of telecoms explained how reliable and ubiquitous connectivity can enable companies and consumers to use digital technologies to efficiently allocate and source assets and resources. In the case of energy, telcos could develop solutions and services that can help consumers and businesses manage their own consumption and sell excess power back to the grid.

This report explores why telcos may want to get involved in the energy market, what their options are and presents case studies, outlining the steps some telcos have already taken. It considers the key advantages/assets that telcos can exploit in the energy market, illustrated by short case studies:

  • Extensive distribution networks
  • Established brand names
  • Billing relationships and payment mechanisms (mobile money/carrier billing)
  • Existing connectivity and IoT expertise
  • Big buyers of energy and in-house energy management expertise

The subsequent chapters in the report include an in-depth review of Telstra’s end-to-end energy strategy, the economics of energy retailing and whether telcos should move into energy generation and storage. The penultimate chapter, which considers how to engage consumers, is followed by conclusions summarising how telcos can help address some of the challenges facing energy suppliers and buyers.

Table of Contents

  • Executive Summary
  • Introduction
  • Extensive distribution networks
    • Case study 1: Polsat Plus – bundling telecoms & electricity
    • Case study 2: Orange Energy Africa – distributing solar kits
  • Established Brands
    • Case Study 1: Singtel Power – taking on the incumbent
    • Case study 2: Building a Reliance Jio for energy
  • Billing relationships and payment mechanisms
    • Case Study: MTN Nigeria – Pay as you go solar
  • Existing connectivity and IoT expertise
    • Case study 1: Telefónica España – monitoring solar panels
    • Case study 2: Proximus – electric vehicle charging
  • Energy buying and management expertise
    • Case study 1: Vodafone – enabling energy data management
    • Case study 2: Elisa – balancing the electricity grid
  • In depth case study: Telstra Energy
    • The strategic justification
    • How the IoT and AI can help
  • The Economics of Energy Retailing
    • An even tighter regulatory regime
  • Telcos and energy storage and generation
    • Competition from other investors
    • Planning permission
    • Grid connections
  • Engaging consumers
    • Ripple Energy – consumer ownership
  • Conclusions

Related research

 

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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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Enterprise Wi-Fi 6/7 is here to stay: 5G is not enough

Overview of Wi-Fi 6/7 for enterprises

This report is not a traditional analyst report on Wi-Fi covering market segments, shares and forecasts. Numerous peer organisations have a long tradition of quantitative marketing modelling and prediction; we are not intending to compete with them. For illustration purposes, we have used a couple of charts with the kind permission of Chris DePuy from 650 Group presented at a recent Wi-Fi Now conference, during a joint panel session with the author of this report.

Instead, this report looks more at the strategic issues around Wi-Fi and the enterprise – and the implications and recommendations for CIOs and network architects in corporate user organisations, opportunities for different types of CSPs, important points for policymakers and regulators, plus a preview of the most important technical innovations likely to emerge in the next few years. There may be some differences in stance or opinion compared to certain other STL reports.

The key themes covered in this report are:

    • Background to enterprise Wi-Fi: key uses, channels and market trends
    • Understanding “Wi-Fi for verticals”
    • Decoding the changes and new capabilities that come with Wi-Fi 6, 6E and 7
    • How and where public and private 5G overlaps or competes with Wi-Fi
    • CSP opportunities in enterprise Wi-Fi
    • Wi-Fi and regulation – and the importance of network diversity.

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Wi-Fi’s background and history

Today, most readers will first think of Wi-Fi as prevalent in the home and across consumer devices such as smartphones, laptops, TVs, game consoles and smart speakers. In total, there are over 18 billion Wi-Fi devices in use, with perhaps 3-4bn new products shipping annually.

Yet the history of Wi-Fi – and its underlying IEEE802.11 technology standards – is anchored in the enterprise.

The earliest incarnations of “wireless ethernet” in the 1990s were in sectors like warehousing and retail, connecting devices such as barcode scanners and point-of-sale terminals. Early leaders around 2000-2005 were companies such as Symbol, Proxim, 3Com and Lucent, supplying both industrial applications and (via chunky plug-in “PCMCIA” cards) laptops, mostly used by corporate employees.

During the 2003-2010 period, Wi-Fi exploded for both enterprises and (with the help of Apple and Intel) consumer laptops, and eventually early smartphones based on Windows and Symbian OS’s, then later iOS and Android.

The corporate world in “carpeted offices” started deploying more dedicated, heavyweight switched systems designed for dense networks of workers at desks, in meeting rooms and in cubicles. Venue Wi-Fi grew quickly as well, with full coverage becoming critical in locations such as airports and hotels, both for visitors and for staff and some connected IT systems. A certain amount of outdoor Wi-Fi was deployed, especially for city centres, but gained little traction as it coincided with broader coverage (and falling costs) of cellular data.

A new breed of enterprise Wi-Fi vendors emerged – and then quickly became consolidated by major networking and IT providers. This has occurred in several waves over the last 20 years. Cisco bought Airespace (and later Meraki and others), Juniper bought Trapeze and Mist Systems, and HP (later HPE) acquired Aruba. There has also been some telecom-sector acquisitions of Wi-Fi vendors, with Commscope acquiring Ruckus, and Ericsson buying BelAir.

While telcos have had some important roles in public or guest Wi-Fi deployments, including working with enterprises in sectors such as cafes, retail, and transport, they have had far less involvement with Wi-Fi deployed privately in enterprise offices, warehouses, factories, and similar sites. For the most part that has been integrated with the wired LAN infrastructure and broader IT domain, overseen by corporate IT/network teams and acquired via a broad array of channels and systems integrators. For industrial applications, many solution providers integrate Wi-Fi (and other wireless mechanisms) directly into machinery and automation equipment.

Looking to the future, enterprise Wi-Fi will coexist with both public and private 5G (including systems or perhaps slices provided by telcos), as well as various other wireless and fibre/fixed connectivity modes. Some elements will converge while others will stay separate. CSPs should “go with the grain” of enterprise networks and select/integrate/operate the right tools for the job, rather than trying to force-fit their preferred technical solution.

Roles and channels for enterprise Wi-Fi

Today, there are multiple roles for Wi-Fi in a business or corporate context. The most important include:

  • Traditional use in offices, both for normal working areas and shared spaces such as meeting and conference rooms. There is often a guest access option.
  • Small businesses use Wi-Fi extensively, as many workers rely on laptops and similar devices, plus vertical-specific endpoints such as payment terminals. Often, they will obtain Wi-Fi capabilities along with their normal retail business broadband connection from a service provider. This may include various types of guest-access option. Common use of shared buildings such as multi-tenant office blocks or retail malls means there may be a reliance on the landlord or site operator for network connectivity.
  • Working from home brings a wide range of new roles for Wi-Fi, especially where there is an intersection of corporate applications and security, with normal home and consumer demand. A growing range of solutions targets this type of converged situation.
  • Large visitor-led venues such as sports stadia, hotels and resorts are hugely important for the Wi-Fi industry. They often have guests with very high expectations of Wi-Fi reliability, coverage, and performance – and also often use the infrastructure themselves for staff, displays and various IoT and connected systems.
  • Municipal and city authorities have gone through two or more rounds of Wi-Fi deployments. Initial 2010-era visions for connectivity often stalled because of a mismatch between usage at the time (mostly on laptops, indoors) and coverage (mostly outdoors). Since then, the rise of smartphone ubiquity, plus a greater array of IoT and smart city devices has made city-centre Wi-Fi more useful again. Increasingly, it is being linked to 5G small cell deployments, metro fibre networks – and made more usable with easier roaming / logon procedures. Some local authorities’ scope also covers Wi-Fi use within education and healthcare settings.
  • Public Wi-Fi hotspots overlap with various enterprise sectors, most notably in transport, cafes/restaurants and hospitality sectors. Where organisations have large venues or multiple sites, such as chain of cafes or retail outlets, there is likely to be some wider enterprise proposition involved.
  • The transport industry is a hugely important sector for enterprise Wi-Fi solutions. Vehicles themselves (buses, planes, trains, taxis) require connectivity for passengers, while transport hubs (airports, stations, etc.) have huge requirements for ease-of-access and performance for Wi-Fi.
  • Wi-Fi technology is also widely used as the basis for fixed-wireless access over medium-to-wide areas. Sometimes using vendor-specific enhancements, it is common to use unlicenced spectrum and 802.11-based networks for connectivity to rural businesses or specific fixed assets. A new version of Wi-Fi technology (802.11ah HaLow) also allows low-power wide area applications for sensors and other IoT devices, which can potentially compete against LoRa and 4G NB-IoT, although it is very late to the market.
  • Niche applications for Wi-Fi technology also exist, for example backhauling other wireless technologies such as Bluetooth, for in-building sensing and automation. There are also emerging propositions such as using high-capacity 60GHz Wi-Fi to replace fibres and cabling inside buildings, especially for rapid installation or in environments where drilling holes in walls requires permits.

Enterprise Wi-Fi solutions cover a broad range of contexts and uses

Given the range of Wi-Fi enterprise market sectors and use cases, it is unsurprising that there are also multiple ways for companies and organisations to obtain the infrastructure, as well as operate the connectivity functions or services.

Some of the options include:

  • Self-provision: Many large organisations will source, install, and operate their own Wi-Fi networks via their IT and networking teams, as they do for fixed LAN and sometimes WAN equipment. They may rely on vendor or outsourced support and specific tasks such as wiring installation.
  • Broadband CSP: Especially for smaller sites, Wi-Fi is often obtained alongside business broadband connectivity, perhaps from an integrated router managed by the ISP.
  • Enterprise MSP: Larger businesses may use dedicated enterprise-grade service providers for their Internet connections, UCaaS services, SD-WAN / SASE networks and so on. These organisations may also provide on-site Wi-Fi installation and management services, or work with sub-contractors to deliver them.
  • Solution providers: Various IT and OT systems, such as building management systems or industrial automation solutions, may come with Wi-Fi embedded into the fabric of the proposition.
  • Managed Wi-Fi specialists: Especially for visitor-centric locations like transport hubs, Wi-Fi coverage and operation may be outsourced to a third party managed service operator. They will typically handle the infrastructure (and any upgrades), authentication, security and backhaul on a contractual basis. They will also likely provide staff/IoT connections as well as guest access.
  • Network integrators: Enterprises may obtain Wi-Fi installations as a one-off project from a network specialist (perhaps with separate maintenance / upgrade agreements). This may well be combined with fixed LAN infrastructure and other relevant elements. This may also be a channel for hybrid Wi-Fi / private cellular in future.
  • Vertical specialists: Various industries such as hotels, aviation, hospitals, mining and so on will often have dedicated companies catering to sector-specific needs, standards, regulations, or business practices. They may tie together various other technology elements, such as IoT connections, asset tracking, voice communications and so forth, using Wi-Fi where appropriate.
  • In-building wireless specialists: Various companies specialise in both indoor cellular coverage systems and Wi-Fi. Often linked to tower companies or neutral-host business models.

Table of Contents

  • Executive Summary
  • Introduction
    • Structure and objectives of this report
    • Background and history
    • Roles and channels for enterprise Wi-Fi
    • Recent enterprise Wi-Fi market trends
    • Note on terminology
  • The evolution of “Wi-Fi for verticals”
    • Understanding Wi-Fi “verticals”
    • Existing vertical-specific Wi-Fi solutions
    • Wi-Fi in industry verticals – building ecosystems
  • Wi-Fi 6, 6E & 7: Rapid cadence or confusion?
    • Continual evolution of Wi-Fi capabilities: 6, 6E, 7
    • Wi-Fi 7 may be a game-changer for enterprise
    • The long-term future: Wi-Fi 8 and beyond
    • Other Wi-Fi variants: 60GHz and HaLow
  • Where do Wi-Fi and 5G overlap competitively?
    • Does private 5G change the game?
    • Convergence / divergence
  • The political and regulatory dimensions of enterprise wireless
    • 6GHz spectrum
  • CSPs and enterprise Wi-Fi
    • CSPs and large enterprise / industrial Wi-Fi
    • Wi-Fi service value-adds
    • Wi-Fi and edge compute
  • Conclusions

Related research

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Four goals for the data-driven telco

Becoming a data-driven telco

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

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

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

Drivers and barriers to being a data-driven telco

Source: STL Partners

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What capabilities should telcos develop?

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

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

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

Capabilities for a data-driven telco

Source: STL Partners

 

Table of contents

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

The new telcos: A field guide

Introduction

The traditional industry view is that “telcos” are a well-defined and fairly cohesive group. Industry associations like GSMA, ETNO, CTIA and others have typically been fairly homogeneous collections of fixed or mobile operators, only really varying in size. The third-ranked mobile operator in Bolivia has not really been that different from AT&T or Vodafone in terms of technology, business model or vendor relationships.

Our own company, STL Partners used to have the brand “Telco 2.0”. However, our main baseline assumption then was that the industry was mostly made up the same network operators, but using a new 2.0 set of business models.

This situation is now changing. Telecom service providers – telcos – are starting to emerge in a huge variety of new shapes, sizes and backgrounds. There is fragmentation in technology strategy, target audiences, go-to-market and regional/national/international scope.

This report is not a full explanation of all the different strategies, services and technological architecture. Instead of analysing all of the “metabolic” functions and “evolutionary mechanisms”, this is more of a field-guide to all the new species of telco that the industry is starting to see. More detail on the enablers – such as fibre, 5G and cloud-based infrastructure – and the demand-side (such as vertical industries’ communications needs and applications) can be found in our other output.

The report provides descriptions with broad contours of motivation, service-offerings and implications for incumbents. We are not “taking sides” here. If new telcos push out the older species, that’s just evolution of those “red in tooth and claw”. We’re taking the role of field zoologists, not conservationists.

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Field guides are collections/lists of natural & human phenomena

animal-species-telcos-stl-partners

Source: Amazon, respective publishers’ copyright

The historical landscape

The term “telco” is a little slippery to define, but most observers would likely agree that the “traditional” telecoms industry has mostly been made up of the following groups of CSPs:

  • MNOs: Countries usually have a few major mobile network operators (MNOs) that are typically national, or sometimes regional.
  • Fixed operators: Markets also have infrastructure-based fixed telcos, usually with one (or a small number) that were originally national state-owned monopolies, plus a select number of other licensed providers, often with greenfield FTTX fibre. Some countries have a vibrant array of smaller “AltNets”, or competitive carriers (originally known as CLECs in the US).
  • Converged operators: These combine fixed and mobile operations in the same business or group. Sometimes they are arms-length (or even in different countries), but many try to offer combined or converged service propositions.
  • Wholesale telcos: There is a tier of a few major international operators that provide interconnect services and other capabilities. Often these have been subsidiaries (or joint ventures) of national telcos.

In addition to these, the communications industry in each market has also often had an array of secondary connectivity or telecom service providers as a kind “supporting cast”, which generally have not been viewed as “telecom operators”. This is either because they fall into different regulatory buckets, only target niche markets, or tend to use different technologies. These have included:

  • MVNOs
  • Towercos
  • Internet Exchanges
  • (W)ISPs
  • Satellite operators

Some of these have had a strong overlap with telcos, or have been spun-out or acquired at various times, but they have broadly remained as independent organisations. Importantly, many of these now look much more like “proper telcos” than they did in the past.

Why are “new telcos” emerging now?

To some extent, many of the classes of new telco have been “hiding in plain sight” for some time. MVNOs, towercos and numerous other SPs have been “telcos in all but name”, even if the industry has often ignored them. There has sometimes been a divisive “them and us” categorisation, especially applied when comparing older operators with cloud-based communications companies, or what STL has previously referred to as “under the floor” infrastructure owners. This attitude has been fairly common within governments and regulators, as well as among operator executives and staff.

However, there are now two groups of trends which are leading to the blurring of lines between “proper telcos” and other players:

  • Supply-side trends: The growing availability of the key building blocks of telcos – core networks, spectrum, fibre, equipment, locations and so on – is leading to democratisation. Virtualisation and openness, as well as a push for vendor diversification, is helping make it easier for new entrants, or adjacent players, to build telecom-style networks
  • Demand-side trends: A far richer range of telecom use-cases and customer types is pulling through specialist network builders and operators. These can start with specific geographies, or industry verticals, and then expand from there to other domains. Private 4G/5G networks and remote/underserved locations are good examples which need customisation and specialisation, but there are numerous other demand drivers for new types of service (and service provider), as well as alternative business models.

Taken together, the supply and demand factors are leading to the creation of new types of telcos (sometimes from established SPs, and sometimes greenfield) which are often competing with the incumbents.

While there is a stereotypical lobbying complaint about “level playing fields”, the reality is that there are now a whole range of different telecom “sports” emerging, with competitors arranged on courses, tracks, fields and hills, many of which are inherently not “level”. It’s down to the participants – whether old or new – to train appropriately and use suitable gear for each contest.

Virtualisation & cloudification of networks helps newcomers as well as existing operators

virtualisation-cloudification-networks-STL-Partners

Source: STL Partners

Where are new telcos likeliest to emerge?

Most new telcos tend to focus initially on specific niche markets. Only a handful of recent entrants have raised enough capital to build out entire national networks, either with fixed or mobile networks. Jio, Rakuten Mobile and Dish are all exceptions – and ones which came with a significant industrial heritage and regulatory impetus that enabled them to scale broadly.

Instead, most new service providers have focused on specific domains, with some expanding more broadly at a later point. Examples of the geographic / customer niches for new operators include:

  • Enterprise private 4G/5G networks
  • Rural network services (or other isolated areas like mountains, offshore areas or islands)
  • Municipality / city-level services
  • National backbone fibre networks
  • Critical communications users (e.g. utilities)
  • Wholesale-only / shared infrastructure provision (e.g. neutral host)

This report sets out…

..to through each of the new “species” of telcos in turn. There is a certain level of overlap between the categories, as some organisations are developing networking offers in various domains in parallel (for instance, Cellnex offering towers, private networks, neutral host and RAN outsourcing).

The new telcos have been grouped into categories, based on some broad similarities:

  • “Evolved” traditional telcos: operators, or units of operators, that are recognisable from today’s companies and brands, or are new-entrant “peers” of these.
  • Adjacent wireless providers: these are service provider categories that have been established for many years, but which are now overlapping ever more closely with “traditional” telcos.
  • Enterprise and government telcos: these are other large organisations that are shifting from being “users” of telecoms, or building internal network assets, towards offering public telecom-type services.
  • Others: this is a catch-all category that spans various niche innovation models. One particular group here, decentralised/blockchain-based telcos, is analysed in more detail.

In each case, the category is examined briefly on the basis of:

  • Background and motivation of operators
  • Typical services and infrastructure being deployed
  • Examples (approx. 3-4 of each type)
  • Implications for mainstream telcos

Table of contents

  • Executive Summary
    • Overview
    • New telco categories and service areas
    • Recommendations for traditional fixed/mobile operators
    • Recommendations for vendors and suppliers
    • Recommendations for regulators, governments & advisors
  • Introduction
    • The historical landscape
    • Why are “new telcos” emerging now?
    • Where are new telcos likeliest to emerge?
    • Structure of this document
  • “Evolved” traditional telcos
    • Greenfield national networks
    • Telco systems integration units
    • “Crossover” Mobile, Fixed & cable operators
    • Extra-territorial telcos
  • Adjacent wireless providers
    • Neutral host network providers
    • TowerCos
    • FWA Fixed Wireless Access (WISPs)
    • Satellite players
  • Enterprise & government telcos
    • Industrial / vertical MNOs
    • Utility companies offering commercial telecom services
    • Enterprises’ corporate IT network service groups
    • Governments & public sector
  • New categories
    • Decentralised telcos (blockchain / cryptocurrency-based)
    • Other “new telco” categories
  • Conclusions

Related Research

 

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IoT security: The foundation for growth beyond connectivity

Introduction

The European Union Agency for Cybersecurity (ENISA) defines the IoT as “a cyber-physical ecosystem of interconnected sensors and actuators, which enable intelligent decision making.” In this ecosystem, the information or data flows among the various components of the IoT enable informed decision making for machines, objects, and the spaces in which they operate. Through this web of tightly interconnected cyber-physical systems, the IoT underpins a variety of applications such as smart cities, smart factories, smart agriculture and so forth.

While these applications touch all the areas of our living and working activities, bringing enormous benefits and possibilities, they also exacerbate system complexities and, in turn, significantly enlarge the domain of threats and risks. As a result, securing the IoT is a very complex task, involving the implementation of highly specialised security measures. In market terms, this complexity translates into rich ecosystems of skills and expertise, where there is not one player in charge of securing the IoT, but it is both a responsibility and an opportunity for all players in the value chain.

Thinking about IoT security, the fundamental objective is ensuring the trust between the provider of an IoT solution and the IoT solution adopter. Microsoft IoT Signals, a well-known survey of 3,000 organisations adopting the IoT, emphasizes this in its 2021 edition, where 91% of the organisations surveyed have security concerns about adopting the IoT. 29% of those organisations do not scale their IoT solution due to security concerns. These concerns hamper the benefits enterprises can gain from IoT solutions. For instance, in the same survey, more than 55% of organisations said they were becoming more efficient adopting the IoT, and 23% claimed that their IoT solution has a direct impact on revenue growth. These benefits come from the variety and volume of data gathered through the IoT to drive better informed operational decisions. The result is that IoT data becomes a fundamental and necessary asset that must be protected.

While managing security risks in IoT is often perceived as a necessary burden, this report will instead highlight securing the IoT as an opportunity. For telecoms operators, this opportunity may not always be directly evident in new revenues, but it is fundamental to the creation of trust between provider and the adopter of IoT services. That trust, built through IoT security services, provides a stronger foundation from which to develop new revenue-generating services beyond connectivity.

This report also argues that by building more comprehensive data insights services into their existing IoT platforms mobile network operators are in a strong position to bring that trust to enterprises. As operators expand their security offers from well-known security functions provided at connectivity level – almost embedded in an operator – to more sophisticated security services across the IoT architecture, they can position themselves as a partner and guide to enterprises as they likewise become more sophisticated in their security needs.

The report is structured in three main parts:

  1. Discussion of the key vulnerabilities in the IoT and responses to those defined by regulators and security bodies such as ENISA, NIST, IoT Security Foundation and others.
  2. Analysis of the roles mobile network operators are playing in the IoTsecurity services market.
  3. Analysis of the opportunities for mobile network operators in security services for the IoT.

The research is based on the author’s extensive experience in IoT security, and enriched by interviews with IoT security experts close to the world of mobile network operators. Finally, an understanding of the most authoritative guidelines and analysis (ENISA, NIST, IoTSF, GSMA, OWASP) on IoT security supports the research.

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Why IoT security is rising up the agenda

In the fervent debates on the development of the IoT, the security aspect is often hidden or avoided. This stems from a common view among IoT solution companies and end-users that security is a heavy point of discussion that hampers business enthusiasm. This perspective is both unhelpful and dangerous, actively hindering greater scale and trust in the IoT. We strongly believe the argument should be flipped around. Although IoT security is a fundamental risk for the development of the IoT, it is also the means through which to develop robust, reliable, and lucrative IoT solutions. Therefore, IoT security should become a priority in IoT strategy and project development.

There are three considerations that are driving a fundamental shift in perceptions of security from a barrier to an enabler of IoT solutions, both among providers and adopters:

  1. Rising frequency and prevalence of avoidable large scale IoT security breaches.  There are plenty of examples of hacking of connected devices and large IoT systems that have dramatically compromised IoT solutions’ functioning, the business case linked to them, and relationships with customers. Recent examples include:
    • In May 2021, Colonial Pipe suffered a ransomware attack that impacted the computerised equipment monitoring the entire pipeline system from Texas to New Jersey, carrying 2.5 million barrel of oil a day. The entire system, based on a vast IoT solution of several sensors along the pipeline, was blocked. To re-boot the system, Colonial Pipeline paid 75 Bitcoin (the equivalent of $4.4 million at the time). (The solution to this type of breach is implementation of a remediation strategy.)
    • Consumer IoT devices are no less attractive than big corporations to hackers. In June 2021, the McAfee Advanced Threat Research identified a potential security vulnerability in the Peleton Bike+: “The ATR team recently disclosed a vulnerability (CVE-2021-3387) in the Peloton Bike+, which would allow a hacker with either physical access to the Bike+ or access during any point in the supply chain (from construction to delivery), to gain remote root access to the Peloton’s tablet. The hacker could install malicious software, intercept traffic and user’s personal data, and even gain control of the Bike’s camera and microphone over the internet.” The Peleton Bike+ vulnerability almost become a matter of national security in the US, considering that President Jo Biden is, apparently, a Peleton Bike+ user. (The security solution to this type of breach is software and system updates.)

2. Regulatory bodies are responding to the increasing incidence of IoT attacks with guidelines and regulations. Realising the danger of connected devices and systems developed with inappropriate security features, regulators worldwide are issuing specific procedures and policies in IoT security. In some cases these are mandatory and in other cases function as guidance and support.

    • Australia has created a voluntary code of practice, Securing the Internet of Things for Consumers, focussing on issues of authorisation, authentication, and access of IoTdata in consumer devices.
    • Singapore has issued the IoT Cyber Security Guide to support enterprises to develop secure IoT systems. Enterprises should also comply to IoT-related standards in sensors, sensor networks, and devices.
    • The United Kingdom has focussed on security around IoT devices with the first Code of Practice for Consumer IoT Security published in 2018.
    • The European Union is focussing on the development of an “IoT Trust” label for IoT consumer devices.
    • The United States launched legislation in 2020 – IoT Cybersecurity Improvements Act – which, through a combination of subsidies and project grants, incentivises companies that build and sell IoT solutions to develop them with a security-by-design

These initiatives are all specifically designed around IoT devices and systems. However, it is important to highlight that the relevant legal framework is wider. For example, in the European Union, the three key regulations applying to the sale and use of IoT devices and ecosystems are CE Marking (health and safety of products sold in the EU), GDPR, and the Network and Information Security Directive (NIS Directive). It is well known, but important to stress it, that violation of GDPR – data breaches and misuses of data – can cost up to EUR20 million. A similar legal framework exists in the United States, in which there are three Acts relevant for IoT devices: Federal Trade Commission Act (FTC Act), the Cyber Security Information Sharing Act (CISA), and the Children’s Online Privacy Protection Act (COPPA). Those who violate America’s Federal Trade Commission Act could face fines of $41,484 per violation, per day.

It is also worth noting that many of these regulations focus on the consumer IoT because it has been the weakest in terms of attention to security features, there is a direct link to data privacy (i.e. by hacking into IoT devices malicious actors can gain access to other digital profile data), and most consumers do not have the skill or resources to protect themselves.

3. The increasing business and economic impact of IoT data. Organisations of all kinds are increasingly relying on data for their strategy development, optimisation of processes, increasing engagement with customers and innovating their business models. The data needed for all these activities is increasingly machine generated by an IoT solution. To illustrate this value, there have been several studies on understanding the economic impact of IoT data. For example, in April 2019, GSMA Intelligence estimated that the economic impact of IoT on business productivity was in the order of $175bn, 0.2% of the global GDP. GSMA Intelligence also forecasted that by 2025 the economic impact would increase to $371bn, 0.34% of the global GDP, with IoT companies generating almost a trillion dollar in revenues. Ultimately, if a competitor or malicious actors gets hold of an organisation’s data, then they have accessed one of its most important assets. Therefore, as organisations become ever more data-driven in their strategic decision making, the importance of securing the systems gathering and storing that data will rise.

Defining IoT Security

The US NIST (National Institute for Standards and Technology) defines cyber-risk as “a function of the probability of a given threat source’s exercising any potential vulnerability and the resulting impact of that adverse event on the organisation.” The IoT security risk is one of many cyber-risks to any organisation and refers to the unforeseen exploitation of IoT system vulnerabilities to gain access to assets with the intent to cause harm.

A major challenge in assessing the IoT system vulnerabilities and threats comes from the technological complexity of an IoT solution and the diversity of applications and environments the IoT solution serves. Therefore, IoT security can be assessed in two levels. The first level regards the IoT architectural stack, which is common to different domains and applications. The second level is solution-specific and requires specialised services depending on the domain of applications.

The starting point of the analysis is a model of IoT architecture, illustrated in a simplified format in the diagram below.

Simplified IoT  architecture

Simplified-IoT-architecture-STL-Partners

Source: STL Partners

 

Table of contents

  • Executive Summary
    • Security can enable MNOs to build beyond connectivity in IoT
    • Next steps: Building on security in the Coordination Age
  • Introduction
    • Why IoT security is rising up the agenda
  • Defining IoT security
    • Key IoT vulnerabilities
    • Enterprises’ view on securing IoT
    • How to meet enterprise needs: Delivering security across three dimensions
  • Mobile operators’ roles in IoT security
    • Telco strategy comparison: IoT security offers vs dedicated business units
    • Assessing operators’ security services by function
    • Takeaways
  • Future growth trends for operators to capitalise on
    • eSIM and integrated eSIM (iSIM) capabilities
    • 5G private network security services
    • Managing encryption requirements
    • Blockchain in telecommunications
    • Secure communication through quantum information and communication technology

Related research

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Innovation leader case study: Telefónica Tech AI of Things

The origins of Telefónica Tech AI of Things

Telefónica LUCA was set up in 2016 to “enable corporate clients to understand their data and encourage a transparent and responsible use of that data”.

Before the creation of LUCA, Telefónica’s focus had been on developing assets and making acquisitions (e.g. Synergic Partners) to build strong internal capabilities around data and analytics – with some data monetisation capabilities housed within their Telefónica Digital unit (a global business unit selling products beyond connectivity, which was disbanded in 2016). Typical projects the team undertook related to using network data to make better decisioning for the network and marketing teams, and providing Telefónica Digital with external monetisation opportunities such as Smart Steps (aggregated, anonymised data for creation of vertical products) and Smart Digits (provision of consent-based data to the advertising industry).

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Creating the autonomous LUCA unit made a statement that Telefónica was serious about its strategy to offer data products to enterprise customers. Quoting from the original press release, “LUCA offered three lines of products and services:

The Business Insights area brings the value of anonymous and aggregated data on Telefónica’s networks for a wide range of clients. This includes Smart Steps, which is focused on mobility analysis solutions for more efficient planning. For example, to optimise transport networks and tourist management in cities, or in the case of a health emergency, in helping to better understand population movements and in limiting the spread of pandemics.

The analytical and external consultancy services for national and international clients will be provided by Synergic Partners, a company specialized in Big Data and Data Science which was acquired by Telefónica at the end of 2015.

Furthermore, LUCA will help its clients by providing BDaaS (Big Data as a Service) to empower clients to get the most out of their own data, using the Telefónica cloud infrastructure.”

The following table shows a timeline from the origins of LUCA in the Telefónica Digital business unit through to its merger into the Telefónica Tech AI of Things business in 2019 – illustrating the progression of its products and other major activities.

Timeline of Telefónica’s data monetisation business

Telefonica-data-monetisation-luca-AI-IoT

Source: STL Partners, Charlotte Patrick Consult

Points to note on the timeline above:

  • Telefónica stood out from its peers with the purchase of Synergic Partners in 2015 (bringing in 120 consultancy headcount). This provided not only another leg to the business with consulting capabilities, but also additional headcount to scope and sell their existing product sets.
  • Looking at the timeline, it took Telefónica two years from this purchase and the establishment LUCA to expand its portfolio. In 2018, a range of new, mainly IoT-related capabilities, were launched, built up from existing projects with individual customers.
  • Telefónica has added machine learning to its products across the timeframe, but in 2019 the development of NLP capability for use in Telefónica’s existing products, and an internal data science platform, were then productised for customers (see below discussion about its Aura product set).
  • As the number of products has expanded, the number of partnerships has also expanded, bringing specific platforms and capabilities which can be combined with Telefónica’s own data capabilities to provide added value (examples include CARTO which creates geographic visualisations of Telefónica’s data).
  • Looking at changing vertical priorities:
    • Telefónica has always been strong in the advertising sector, starting with products from O2 UK in 2012. The exact nature of what it has offered has changed over time and some capabilities have been sold, however, it still has a strong mobile marketing business and expects it data to become of more interest to brands/media agencies as the use of cookies diminishes across the next few years.
    • The retail sector offers opportunity, but has been challenging to target over the years. Although Telefónica has interesting data for retail companies, creating replicable products is challenging as the large retailers each have differing requirements and working with small cell data in-store can be expensive. The product set is therefore currently being simplified, as the pandemic has also reduced demand from retailers.

One of Telefónica’s key capabilities which is not clearly displayed in the timeline is the provision of services to the marketing teams of the various verticals it targets. These include analytics products which Telefónica has developed from its internal capabilities and other functionality such as pricing tools.

The formation of Telefónica Tech

In 2019, Telefónica LUCA became part of the newly formed, autonomous Telefónica Tech business unit. The organisation is split into two business areas: cybersecurity & cloud, and the assets from Telefónica LUCA combined with the IoT unit. The goal of Telefónica Tech is to:

  • Enable the financial markets to clearly see revenue progression. Telefónica’s stated aim is for sustained double digit growth, which it achieved with year-on-year growth of 13.6% in 2020, although the IoT and Big Data segment only grew 0.8% y-o-y in 2020, due to the impact of COVID-19 on IoT deployments, especially in retail. Showing signs of recovery, in H121 revenue growth in the IoT and Big Data segment rose to 8.1% y-o-y, and to 26% y-o-y for the whole of Telefónica Tech.
  • Coordinate innovation, particularly around post-pandemic opportunities such as remote working, e-health, e-commerce and digital transformation
  • Take advantage of global synergies and leveraging existing assets
  • Ease M&A and partnerships activity (it already has 300 partners to better reach new markets, including relations with 60 start-ups across products)
  • Build relationships with cloud providers (it has existing relationships with Microsoft, Google and SAP).

To better leverage existing assets, Telefónica LUCA was integrated with Telefónica’s IoT capabilities to create a more unified set of capabilities:

  1. IoT is seen as an enabling opportunity for AI, which can bring added value to Telefónica’s 10,000 IoT customers (with 35 million live IoT SIMs worldwide). Opportunities include provision of intelligence around “things” (for example, products to analyse sensor data) and then the addition of Business Insight services (i.e. analysis of aggregated, anonymised Telefónica data which adds further insight alongside the data coming from IoT devices).
  2. AI is now often a commodity discussion with C-Level prospects and Telefónica wishes to be seen as a strategic partner. Telefónica’s AI of Things proposition offers an execution layer and integration experts with security-by-design capabilities.
  3. Combining capabilities provides sales teams with an end-to-end value proposition, as the addition of AI is often complimentary to cloud transformation projects and the implementation of digital platforms.

There is a growing ecosystem in IoT and data which will generate more opportunities as both IoT solutions and ML/AI solutions mature, although it is not a straightforward decision for Telefónica on how to compete within this ecosystem.

Table of contents

  • Executive Summary
    • How successful has Telefónica been in data monetisation?
    • Learnings from Telefónica’s experience
    • Key success factors
    • Telefónica’s future strategy
  • Introduction
    • The origins of Telefónica Tech AI of Things
    • The formation of Telefónica Tech
  • Vision, mission and strategy
    • Scaling the business
    • Building a product set
    • Learnings from Telefónica Tech AI of Things
  • Organisational strategy
    • Where should the data monetisation team live?
    • Structure of Telefónica Tech AI of Things Team
    • External partnerships
    • Future plans
  • Data portfolio strategy
    • Tools and infrastructure
    • AI Suite
    • Vertical strategy
    • Product development beyond analytics
  • Conclusion and future moves

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How to identify and meet new customer needs

Customer-led innovation at Telia and Elisa

In order to secure competitive advantage and long-term growth, telcos need to identify and meet new customer needs. The importance of this is confirmed by the STL Partner’s Telco investment priorities survey published in January 2021. Understanding customer needs and innovation, both essential for addressing new needs and driving growth, featured in the top ten priorities.

Telco top investment  priorities

top-telco-investment-priorities-stl

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

This report seeks to identify best practice for telcos. Through in-depth interviews with senior managers in Elisa and Telia, and an expert in disruptive innovation, we identify the critical success factors and lessons learned in these organisations.

Telia created Division X in 2017, a separate business unit focused on commercialising and growing revenue from emerging businesses and technologies such as IoT (including 5G), data insights, and digital B2C services. Its focus is on customer needs and speed of execution, to spearhead and accelerate innovation, which it deems necessary in Telia’s drive to “reinvent better connected living”.

International Digital Services is Elisa’s third main business division, alongside Consumer and Corporate, which serve the domestic market. As International Digital Services has matured, it has focussed specifically on addressing new needs and developing new services, in both industrial and corporate domains.

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The report is based on interviews with:

  • Liisa Puurunen, Vice President, Brand, CX and start-ups, International Digital Services, Elisa — Liisa has a background in leading new businesses and start-ups in Elisa in the Consumer division and International Digital Services. Liisa’s role is to understand where there are new needs to be met, and to get best practise in place across the whole customer journey, within both industrial and corporate domains.
  • Annukka Matilainen, Development Director for Omnichannel and Smart Automation, Elisa —Annukka led the Consumer team’s response to COVID-19
  • Stephanie Huf, Head of Marketing, Division X, Telia — Stephanie’s role is to support the business lines in Division X to in engaging with customers to identify their needs. For example, her team identifies what customers want, defines the value propositions and works with product and business teams to test these in line with customer insight. (Since participating in this research Stephanie Huf has moved to a new role.)
  • Anette Bohman, Strategy Director, Division X, Telia  — Anette supports and guides Division X in defining Telia’s future.
  • John McDonald, FIRSTEP — John is a strategist in disruptive innovation in the health industry in Canada. He helps leaders create alignment around how the forces of disruption are unfolding and where to place the bets. FIRSTEP works with health organisations searching for fresh insights that spark new opportunities for growth.

Create a separate team to maximise new business opportunities

A separate team has many benefits

New business requires a separate, dedicated team. Its needs are different from day-to-day business and it needs its own focus.

One of the biggest learnings for Elisa in addressing new opportunities, is that there needs to be a ‘sandbox team’ with its own resources and budgets, rules, methods and mindset. It must have access to senior managers for decision making and funding, and strong leadership.

The sandbox team needs to be remote from the demands of day-to-day operations and implementation. If finding new needs is only part of someone’s job it is difficult to manage, as short-term demands will inevitably take precedence. Delivery and experimentation are different functions and they should be separate.

Liisa Puurunen’s team is a start-up in its own right. It is leaner than the usual Elisa approach and people are only brought into the team when there is a test to be done, keeping it flexible.

Rationale for a separate team

separate-team-rationale
Source: STL Partners

Contents

  • Executive Summary
    • Create a dedicated and separate team
    • Take a customer centric approach at all stages of innovation
    • Types of innovation will meet different new needs
  • Introduction
  • Create a separate team to maximise new business opportunities
    • A separate team has many benefits
    • Telia Smart Family: The case for a separate innovations team
    • Evaluate success in relevant ways that may be non-traditional
  • Take a customer centric approach to all stages of innovation
    • Ensure a customer centric culture
    • Start with a customer problem
  • Meeting needs and scaling bets
    • Co-create with customers, but choose them carefully
    • Elisa’s empowered teams enable a successful response to COVID-19
  • Types of innovation to meet different new needs
    • New needs in the core versus new businesses
    • Dedicate some resource to extreme innovation
    • Telia Data Insights: New Business innovation in response to COVID-19
    • The case for disruptive innovation
  • Plan exit strategies
    • Perseverance and pivoting can bring success
    • Be prepared to kill your darlings

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Why the consumer IoT is stuck in the slow lane

A slow start for NB-IoT and LTE-M

For telcos around the world, the Internet of Things (IoT) has long represented one of the most promising growth opportunities. Yet for most telcos, the IoT still only accounts for a low single digit percentage of their overall revenue. One of the stumbling blocks has been relatively low demand for IoT solutions in the consumer market. This report considers why that is and whether low cost connectivity technologies specifically-designed for the IoT (such as NB-IoT and LTE-M) will ultimately change this dynamic.

NB-IoT and LTE-M are often referred to as Massive IoT technologies because they are designed to support large numbers of connections, which periodically transmit small amounts of data. They can be distinguished from broadband IoT connections, which carry more demanding applications, such as video content, and critical IoT connections that need to be always available and ultra-reliable.

The initial standards for both technologies were completed by 3GPP in 2016, but adoption has been relatively modest. This report considers the key B2C and B2B2C use cases for Massive IoT technologies and the prospects for widespread adoption. It also outlines how NB-IoT and LTE-M are evolving and the implications for telcos’ strategies.

This builds on previous STL Partners’ research, including LPWA: Which way to go for IoT? and Can telcos create a compelling smart home?. The LPWA report explained why IoT networks need to be considered across multiple generations, including coverage, reliability, power consumption, range and bandwidth. Cellular technologies tend to be best suited to wide area applications for which very reliable connectivity is required (see Figure below).

IoT networks should be considered across multiple dimensions

IoT-networks-disruptive-analysis-stl-2021
Source: Disruptive Analysis

 

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The smart home report outlined how consumers could use both cellular and short-range connectivity to bolster security, improve energy efficiency, charge electric cars and increasingly automate appliances. One of the biggest underlying drivers in the smart home sector is peace of mind – householders want to protect their properties and their assets, as rising population growth and inequality fuels fear of crime.

That report contended that householders might be prepared to pay for a simple and integrated way to monitor and remotely control all their assets, from door locks and televisions to solar panels and vehicles.  Ideally, a dashboard would show the status and location of everything an individual cares about. Such a dashboard could show the energy usage and running cost of each appliance in real-time, giving householders fingertip control over their possessions. They could use the resulting information to help them source appropriate insurance and utility supply.

Indeed, STL Partners believes telcos have a broad opportunity to help coordinate better use of the world’s resources and assets, as outlined in the report: The Coordination Age: A third age of telecoms. Reliable and ubiquitous connectivity is a key enabler of the emerging sharing economy in which people use digital technologies to easily rent the use of assets, such as properties and vehicles, to others. The data collected by connected appliances and sensors could be used to help safeguard a property against misuse and source appropriate insurance covering third party rentals.

Do consumers need Massive IoT?

Whereas some IoT applications, such as connected security cameras and drones, require high-speed and very responsive connectivity, most do not. Connected devices that are designed to collect and relay small amounts of data, such as location, temperature, power consumption or movement, don’t need a high-speed connection.

To support these devices, the cellular industry has developed two key technologies – LTE-M (LTE for Machines, sometimes referred to as Cat M) and NB-IoT (Narrowband IoT). In theory, they can be deployed through a straightforward upgrade to existing LTE base stations. Although these technologies don’t offer the capacity, throughput or responsiveness of conventional LTE, they do support the low power wide area connectivity required for what is known as Massive IoT – the deployment of large numbers of low cost sensors and actuators.

For mobile operators, the deployment of NB-IoT and LTE-M can be quite straightforward. If they have relatively modern LTE base stations, then NB-IoT can be enabled via a software upgrade. If their existing LTE network is reasonably dense, there is no need to deploy additional sites – NB-IoT, and to a lesser extent LTE-M, are designed to penetrate deep inside buildings. Still, individual base stations may need to be optimised on a site-by-site basis to ensure that they get the full benefit of NB-IoT’s low power levels, according to a report by The Mobile Network, which notes that operators also need to invest in systems that can provide third parties with visibility and control of IoT devices, usage and costs.

There are a number of potential use cases for Massive IoT in the consumer market:

  • Asset tracking: pets, bikes, scooters, vehicles, keys, wallets, passport, phones, laptops, tablets etc.
  • Vulnerable persontracking: children and the elderly
  • Health wearables: wristbands, smart watches
  • Metering and monitoring: power, water, garden,
  • Alarms and security: smoke alarms, carbon monoxide, intrusion
  • Digital homes: automation of temperature and lighting in line with occupancy

In the rest of this report we consider the key drivers and barriers to take-up of NB-IoT and LTE-M for these consumer use cases.

Table of Contents

  • Executive Summary
  • Introduction
  • Do consumers need Massive IoT?
    • The role of eSIMs
    • Takeaways
  • Market trends
    • IoT revenues: Small, but growing
  • Consumer use cases for cellular IoT
    • Amazon’s consumer IoT play
    • Asset tracking: Demand is growing
    • Connecting e-bikes and scooters
    • Slow progress in healthcare
    • Smart metering gains momentum
    • Supporting micro-generation and storage
    • Digital buildings: A regulatory play?
    • Managing household appliances
  • Technological advances
    • Network coverage
  • Conclusions: Strategic implications for telcos

 

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A3 for enterprise: Where should telcos focus?

A3 capabilities operators can offer enterprise customers

In this research we explore the potential enterprise solutions leveraging analytics, AI and automation (A3) that telcos can offer their enterprise customers. Our research builds on a previous STL Partners report Telco data monetisation: What’s it worth? which modelled the financial opportunity for telco data monetisation – i.e. purely the machine learning (ML) and analytics component of A3 – for 200+ use cases across 13 verticals.

In this report, we expand our analysis to include the importance of different types of AI and automation in implementing the 200+ use cases for enterprises and assess the feasibility for telcos to acquire and integrate those capabilities into their enterprise services.

We identified eight different types of A3 capabilities required to implement our 200+ use cases.

These capability types are organised below roughly in order of the number of use cases for which they are relevant (i.e. people analytics is required in the most use cases, and human learning is needed in the fewest).

The ninth category, Data provision, does not actually require any AI or automation skills beyond ML for data management, so we include it in the list primarily because it remains an opportunity for telcos that do not develop additional A3 capabilities for enterprise.

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Most relevant A3 capabilities across 200+ use cases

9-types-of-A3-analytics-AI-automation

Most relevant A3 capabilities for leveraging enterprise solutions

People analytics: This is the strongest opportunity for telcos as it uses their comprehensive customer data. Analytics and machine learning are required for segmentation and personalisation of messaging or action. Any telco with a statistically-relevant market share can create products – although specialist sales capabilities are still essential.

IoT analytics: Although telcos offering IoT products do not immediately have access to the payload data from devices, the largest telcos are offering a range of products which use analytics/ML to detect patterns or spot anomalies from connected sensors and other devices.

Other analytics: Similar to IoT, the majority of other analytics A3 use cases are around pattern or anomaly detection, where integration of telco data can increase the accuracy and success of A3 solutions. Many of the use cases here are very specific to the vertical. For example, risk management in financial services or tracking of electronic prescriptions in healthcare – which means that a telco will need to have existing products and sales capability in these verticals to make it worthwhile adding in new analytics or ML capabilities.

Real time: These use cases mainly need A3 to understand and act on triggers coming from customer behaviour and have mixed appeal to telcos. Telcos already play a significant role in a small number of uses cases, such as mobile marketing. Some telcos are also active in less mature use cases such as patient messaging in healthcare settings (e.g. real-time reminders to take medication or remote monitoring of vulnerable adults). Of the rest of the use cases that require real time automation, a subset could be enhanced with messaging. This would primarily be attractive to mobile operators, especially if they offer broader relevant enterprise solutions – for example, if a telco was involved in a connected public transport solution, then it could also offer passenger messaging.

Remote monitoring/control: Solutions track both things and people and use A3 to spot issues, do diagnostic analysis and prescribe solutions to the problems identified. The larger telcos already have solutions in some verticals, and 5G may bring more opportunities, such as monitoring of remote sites or traffic congestion monitoring.

Video analytics: Where telcos have CCTV implementations or video, there is opportunity to add in analytics solutions (potentially at the edge).

Human interactions: The majority of telco opportunities here relate to the provision of chatbots into enterprise contact centres.

Human learning: A group of low feasibility use cases around training (for example, an engineer on a manufacturing floor who uses a heads-up augmented/virtual reality (AR/VR) display to understand the resolution to a problem in front of them) or information provision (for example, providing retail customers with information via AR applications).

 

Table of Contents

  • Executive Summary
    • Which A3 capabilities should telcos prioritise?
    • What makes an investment worthwhile?
    • Next steps
  • Introduction
  • Vertical opportunities
    • Key takeaways
  • A3 technology: Where should telcos focus?
    • Key takeaways
    • Assessing the telco opportunity for nine A3 capabilities
  • Verizon case study
  • Details of vertical opportunities
  • Conclusion
  • Appendix 1 – full list of 200 use cases

 

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Telco A3: Skilling up for the long term

Telcos must master automation, analytics and AI (A3) skills to remain competitive

A3 will permeate all aspects of telcos’ and their customers’ operations, improving efficiency, customer experience, and the speed of innovation. Therefore, whether a telecoms operator is focused on its core connectivity business, or seeking to build new value beyond connectivity, developing widespread understanding of value of A3 and disseminating fundamental automation and AI skills across the organisation should be a core strategic goal. Our surveys on industry priorities suggest that operators recognise this need, and automation and AI are correspondingly rising up the agenda.

Expected technology priority change by organisation type, May 2020

technology investment priorities telecoms May 2020

*Updated January 2021 survey results will be published soon. Source: STL Partners survey, 222 respondents.

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Key findings on operators’ A3 strategies

Based on deep dive interviews with 8 telcos, as well as insights from 8 more telcos gathered from previous research programmes.

  • Less advanced telcos are creating a set of basic structures and procedures, as well as beginning to develop a single view of the customer
  • Having a single version of the truth appears to be an ongoing issue for all – alongside continued work on data quality
  • As full end-to-end automation is not a realistic goal for the next few years, interviewees were seeking to prioritise the right journeys to be automated in the short term
  • Reskilling and education of staff was an area of importance for many but not all
  • Just one company had less ambitious data-related aims due to the specialist nature of their services and smaller size of the company – saying that they worked with data on an as-needed basis and had no plans to develop dedicated data science headcount

Preparing for the future: There are four areas where A3 will impact telcos’ businesses

four A3 areas impacting telcos

Source: Charlotte Patrick Consult, STL Partners

In this report we outline the skills and capabilities telcos will need in order to navigate these changes. We break out these skills into four layers:

  1. The basic skillset: What operators need to remain competitive over the short term
  2. The next 5 years: The skills virtually all telcos will need to build or acquire to remain competitive in the medium term (exceptions include small or specialist telcos, or those in less competitive markets)
  3. The next 10 years: The skills and organisational changes telcos will need to achieve within a 10 year timeframe to remain competitive in the long term
  4. Beyond connectivity (5–10 year horizon): This includes A3 skills that telcos will need to be successful strategic partners for customers and suppliers, and to thrive in ecosystem business models. These will be essential for telcos seeking to play a coordination role in IoT, edge, or industry ecosystems.

Table of contents

  • Executive Summary
  • Telcos’ current strategic direction
    • Deep dive into 8 operator strategies
    • Overview of 8 more operator strategies
  • How A3 technologies are evolving
    • Deep dive into 40 A3 applications that will impact telcos’ businesses
    • Internal capabilities
    • Customer requirements
    • Technology changes
    • Organisational change
  • A timeline of telco A3 skills evolution
    • The basic skillset
    • The next 5 years
    • The next 10 years
    • Beyond connectivity

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

Data analytics as a new business

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

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

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DataSpark’s progress to date

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

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

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

COVID-19 data analytics innovation

Source: DataSpark

Table of Contents

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

 

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

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AI is starting to pay: Time to scale adoption

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AI adoption yields positive results

Over the last five years, telcos have made measurable progress in AI adoption and it is starting to pay off.  When compared to all industries, telcos have become adept at handling large data sets and implementing automation. Over the last several years the telecoms industry has gone from not knowing where or how to implement AI, to having developed and implemented hundreds of AI and automation applications for network operations, fraud prevention, customer channel management, and sales and marketing. We have discussed these use cases and operator strategies and opportunities in detail in previous reports.

For the more advanced telcos, the challenge is no longer setting up data management platforms and systems and identifying promising use cases for AI and automation, but overcoming the organisational and cultural barriers to becoming truly data-centric in mindset, processes and operations. A significant part of this challenge includes disseminating AI adoption and expertise of these technologies and associated skills to the wider organisation, beyond a centralised AI team.The benchmark for success here is not other telcos, or companies in other industries with large legacy and physical assets, but digital- and cloud-native companies that have been established with a data-centric mindset and practices from the start. This includes global technology companies like Microsoft, Google and Amazon, who increasingly see telecoms operators as customers, or perhaps even competitors one day, as well as greenfield players such as Rakuten, Jio and DISH, which as well as more modern networks have fewer ingrained legacy processes and cultural practices to overcome.

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Telecoms has a high AI adoption rate compared with other industries

AI pays off

Source: McKinsey

In this report, we assess several telcos’ approach to AI and the results they have achieved so far, and draw some lessons on what kind of strategy and ambition leads to better results. In the second section of the report, we explore in more detail the concrete steps telcos can take to help accelerate and scale the use of AI and automation across the organisation, in the hopes of becoming more data-driven businesses.

While not all telcos have an ambition to drive new revenue growth through development of their own IP in AI, to form the basis of new enterprise or consumer services, all operators will need AI to permeate their internal processes to compete effectively in the long term. Therefore, whatever the level ambition, disseminating fundamental AI and data skills across the organisation is crucial to long term success. STL Partners believes that the sooner telcos can master these skills, the higher their chances of successfully applying them to drive innovation both in core connectivity and new services higher up the value chain.

Contents

  • Executive Summary
  • Introduction
  • Developing an AI strategy: What is it for?
    • Telefónica: From AURA and LUCA to Telefónica Tech
    • Vodafone: An efficiency focused strategy
    • Elisa: A vertical application approach
    • Takeaways: Comparing three approaches
  • AI maturity progression
    • Adopt big data analytics: The basic building blocks
    • Creating a centralised AI unit
    • Creating a new business unit
    • Disseminating AI across the organisation
  • Using partnerships to accelerate and scale AI
    • O2 and Cardinality
    • AT&T Acumos
  • Conclusion and recommendations
  • Index

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SK Telecom: Lessons in 5G, AI, and adjacent market growth

SK Telecom’s strategy

SK Telecom is the largest mobile operator in South Korea with a 42% share of the mobile market and is also a major fixed broadband operator. It’s growth strategy is focused on 5G, AI and a small number of related business areas where it sees the potential for revenue to replace that lost from its core mobile business.

By developing applications based on 5G and AI it hopes to create additional revenue streams both for its mobile business and for new areas, as it has done in smart home and is starting to do for a variety of smart business applications. In 5G it is placing an emphasis on indoor coverage and edge computing as basis for vertical industry applications. Its AI business is centred around NUGU, a smart speaker and a platform for business applications.

Its other main areas of business focus are media, security, ecommerce and mobility, but it is also active in other fields including healthcare and gaming.

The company takes an active role internationally in standards organisations and commercially, both in its own right and through many partnerships with other industry players.

It is a subsidiary of SK Group, one of the largest chaebols in Korea, which has interests in energy and oil. Chaebols are large family-controlled conglomerates which display a high level and concentration of management power and control. The ownership structures of chaebols are often complex owing to the many crossholdings between companies owned by chaebols and by family members. SK Telecom uses its connections within SK Group to set up ‘friendly user’ trials of new services, such as edge and AI

While the largest part of the business remains in mobile telecoms, SK Telecom also owns a number of subsidiaries, mostly active in its main business areas, for example:

  • SK Broadband which provides fixed broadband (ADSL and wireless), IPTV and mobile OTT services
  • ADT Caps, a securitybusiness
  • IDQ, which specialises in quantum cryptography (security)
  • 11st, an open market platform for ecommerce
  • SK Hynixwhich manufactures memory semiconductors

Few of the subsidiaries are owned outright by SKT; it believes the presence of other shareholders can provide a useful source of further investment and, in some cases, expertise.

SKT was originally the mobile arm of KT, the national operator. It was privatised soon after establishing a cellular mobile network and subsequently acquired by SK Group, a major chaebol with interests in energy and oil, which now has a 27% shareholding. The government pension service owns a 11% share in SKT, Citibank 10%, and 9% is held by SKT itself. The chairman of SK Group has a personal holding in SK Telecom.

Following this introduction, the report comprises three main sections:

  • SK Telecom’s business strategy: range of activities, services, promotions, alliances, joint ventures, investments, which covers:
    • Mobile 5G, Edge and vertical industry applications, 6G
    • AIand applications, including NUGU and Smart Homes
    • New strategic business areas, comprising Media, Security, eCommerce, and other areas such as mobility
  • Business performance
  • Industrial and national context.

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Overview of SKT’s activities

Network coverage

SK Telecom has been one of the earliest and most active telcos to deploy a 5G network. It initially created 70 5G clusters in key commercial districts and densely populated areas to ensure a level of coverage suitable for augmented reality (AR) and virtual reality (VR) and plans to increase the number to 240 in 2020. It has paid particular attention to mobile (or multi-access) edge computing (MEC) applications for different vertical industry sectors and plans to build 5G MEC centres in 12 different locations across Korea. For its nationwide 5G Edge cloud service it is working with AWS and Microsoft.

In recognition of the constraints imposed by the spectrum used by 5G, it is also working on ensuring good indoor 5G coverage in some 2,000 buildings, including airports, department stores and large shopping malls as well as small-to-medium-sized buildings using distributed antenna systems (DAS) or its in-house developed indoor 5G repeaters. It also is working with Deutsche Telekom on trials of the repeaters in Germany. In addition, it has already initiated activities in 6G, an indication of the seriousness with which it is addressing the mobile market.

NUGU, the AI platform

It launched its own AI driven smart speaker, NUGU in 2016/7, which SKT is using to support consumer applications such as Smart Home and IPTV. There are now eight versions of NUGU for consumers and it also serves as a platform for other applications. More recently it has developed several NUGU/AI applications for businesses and civil authorities in conjunction with 5G deployments. It also has an AI based network management system named Tango.

Although NUGU initially performed well in the market, it seems likely that the subsequent launch of smart speakers by major global players such as Amazon and Google has had a strong negative impact on the product’s recent growth. The absence of published data supports this view, since the company often only reports good news, unless required by law. SK Telecom has responded by developing variants of NUGU for children and other specialist markets and making use of the NUGU AI platform for a variety of smart applications. In the absence of published information, it is not possible to form a view on the success of the NUGU variants, although the intent appears to be to attract young users and build on their brand loyalty.

It has offered smart home products and services since 2015/6. Its smart home portfolio has continually developed in conjunction with an increasing range of partners and is widely recognised as one of the two most comprehensive offerings globally. The other being Deutsche Telekom’s Qivicon. The service appears to be most successful in penetrating the new build market through the property developers.

NUGU is also an AI platform, which is used to support business applications. SK Telecom has also supported the SK Group by providing new AI/5G solutions and opening APIs to other subsidiaries including SK Hynix. Within the SK Group, SK Planet, a subsidiary of SK Telecom, is active in internet platform development and offers development of applications based on NUGU as a service.

Smart solutions for enterprises

SKT continues to experiment with and trial new applications which build on its 5G and AI applications for individuals (B2C), businesses and the public sector. During 2019 it established B2B applications, making use of 5G, on-prem edge computing, and AI, including:

  • Smart factory(real time process control and quality control)
  • Smart distribution and robot control
  • Smart office (security/access control, virtual docking, AR/VRconferencing)
  • Smart hospital (NUGUfor voice command for patients, AR-based indoor navigation, facial recognition technology for medical workers to improve security, and investigating possible use of quantum cryptography in hospital network)
  • Smart cities; e.g. an intelligent transportation system in Seoul, with links to vehicles via 5Gor SK Telecom’s T-Map navigation service for non-5G users.

It is too early to judge whether these B2B smart applications are a success, and we will continue to monitor progress.

Acquisition strategy

SK Telecom has been growing these new business areas over the past few years, both organically and by acquisition. Its entry into the security business has been entirely by acquisition, where it has bought new revenue to compensate for that lost in the core mobile business. It is too early to assess what the ongoing impact and success of these businesses will be as part of SK Telecom.

Acquisitions in general have a mixed record of success. SK Telecom’s usual approach of acquiring a controlling interest and investing in its acquisitions, but keeping them as separate businesses, is one which often, together with the right management approach from the parent, causes the least disruption to the acquired business and therefore increases the likelihood of longer-term success. It also allows for investment from other sources, reducing the cost and risk to SK Telecom as the acquiring company. Yet as a counterpoint to this, M&A in this style doesn’t help change practices in the rest of the business.

However, it has also shown willingness to change its position as and when appropriate, either by sale, or by a change in investment strategy. For example, through its subsidiary SK Planet, it acquired Shopkick, a shopping loyalty rewards business in 2014, but sold it in 2019, for the price it paid for it. It took a different approach to its activity in quantum technologies, originally set up in-house in 2011, which it rolled into IDQ following its acquisition in 2018.

SKT has also recently entered into partnerships and agreements concerning the following areas of business:

 

Table of Contents

  • Executive Summary
  • Introduction and overview
    • Overview of SKT’s activities
  • Business strategy and structure
    • Strategy and lessons
    • 5G deployment
    • Vertical industry applications
    • AI
    • SK Telecom ‘New Business’ and other areas
  • Business performance
    • Financial results
    • Competitive environment
  • Industry and national context
    • International context

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Fixed wireless access growth: To 20% homes by 2025

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Fixed wireless access growth forecast

Fixed Wireless Access (FWA) networks use a wireless “last mile” link for the final connection of a broadband service to homes and businesses, rather than a copper, fibre or coaxial cable into the building. Provided mostly by WISPs (Wireless Internet Service Providers) or mobile network operators (MNOs), these services come in a wide range of speeds, prices and technology architectures.

Some FWA services are just a short “drop” from a nearby pole or fibre-fed hub, while others can work over distances of several kilometres or more in rural and remote areas, sometimes with base station sites backhauled by additional wireless links. WISPs can either be independent specialists, or traditional fixed/cable operators extending reach into areas they cannot economically cover with wired broadband.

There is a fair amount of definitional vagueness about FWA. The most expansive definitions include cheap mobile hotspots (“Mi-Fi” devices) used in homes, or various types of enterprise IoT gateway, both of which could easily be classified in other market segments. Most service providers don’t give separate breakouts of deployments, while regulators and other industry bodies report patchy and largely inconsistent data.

Our view is that FWA is firstly about providing permanent broadband access to a specific location or premises. Primarily, this is for residential wireless access to the Internet and sometimes typical telco-provided services such as IPTV and voice telephony. In a business context, there may be a mix of wireless Internet access and connectivity to corporate networks such as VPNs, again provided to a specific location or building.

A subset of FWA relates to M2M usage, for instance private networks run by utility companies for controlling grid assets in the field. These are typically not Internet-connected at all, and so don’t fit most observers’ general definition of “broadband access”.

Usually, FWA will be marketed as a specific service and package by some sort of network provider, usually including the terminal equipment (“CPE” – customer premise equipment), rather than allowing the user to “bring their own” device. That said, lower-end (especially 4G) offers may be SIM-only deals intended to be used with generic (and unmanaged) portable hotspots.
There are some examples of private network FWA, such as a large caravan or trailer park with wireless access provided from a central point, and perhaps in future municipal or enterprise cellular networks giving fixed access to particular tenant structures on-site – for instance to hangars at an airport.

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FWA today

Today, fixed-wireless access (FWA) is used for perhaps 8-9% of broadband connections globally, although this varies significantly by definition, country and region. There are various use cases (see below), but generally FWA is deployed in areas without good fixed broadband options, or by mobile-only operators trying to add an additional fixed revenue stream, where they have spare capacity.

Fixed wireless internet access fits specific sectors and uses, rather than the overall market

FWA Use Cases

Source: STL Partners

FWA has traditionally been used in sparsely populated rural areas, where the economics of fixed broadband are untenable, especially in developing markets without existing fibre transport to towns and villages, or even copper in residential areas. Such networks have typically used unlicensed frequency bands, as there is limited interference – and little financial justification for expensive spectrum purchases. In most cases, such deployments use proprietary variants of Wi-Fi, or its ill-fated 2010-era sibling WiMAX.

Increasingly however, FWA is being used in more urban settings, and in more developed market scenarios – for example during the phase-out of older xDSL broadband, or in places with limited or no competition between fixed-network providers. Some cellular networks primarily intended for mobile broadband (MBB) have been used for fixed usage as well, especially if spare capacity has been available. 4G has already catalysed rapid growth of FWA in numerous markets, such as South Africa, Japan, Sri Lanka, Italy and the Philippines – and 5G is likely to make a further big difference in coming years. These mostly rely on licensed spectrum, typically the national bands owned by major MNOs. In some cases, specific bands are used for FWA use, rather than sharing with normal mobile broadband. This allows appropriate “dimensioning” of network elements, and clearer cost-accounting for management.

Historically, most FWA has required an external antenna and professional installation on each individual house, although it also gets deployed for multi-dwelling units (MDUs, i.e. apartment blocks) as well as some non-residential premises like shops and schools. More recently, self-installed indoor CPE with varying levels of price and sophistication has helped broaden the market, enabling customers to get terminals at retail stores or delivered direct to their home for immediate use.

Looking forward, the arrival of 5G mass-market equipment and larger swathes of mmWave and new mid-band spectrum – both licensed and unlicensed – is changing the landscape again, with the potential for fibre-rivalling speeds, sometimes at gigabit-grade.

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Table of contents

  • Executive Summary
  • Introduction
    • FWA today
    • Universal broadband as a goal
    • What’s changed in recent years?
    • What’s changed because of the pandemic?
  • The FWA market and use cases
    • Niche or mainstream? National or local?
    • Targeting key applications / user groups
  • FWA technology evolution
    • A broad array of options
    • Wi-Fi, WiMAX and close relatives
    • Using a mobile-primary network for FWA
    • 4G and 5G for WISPs
    • Other FWA options
    • Customer premise equipment: indoor or outdoor?
    • Spectrum implications and options
  • The new FWA value chain
    • Can MNOs use FWA to enter the fixed broadband market?
    • Reinventing the WISPs
    • Other value chain participants
    • Is satellite a rival waiting in the wings?
  • Commercial models and packages
    • Typical pricing and packages
    • Example FWA operators and plans
  • STL’s FWA market forecasts
    • Quantitative market sizing and forecast
    • High level market forecast
  • Conclusions
    • What will 5G deliver – and when and where?
  • Index