Tag: edge infrastructure

Edge computing market sizing forecast: Second release

This is the second release of STL’s edge computing revenue forecast

In this release, we update the forecast and include regional edge

The edge computing market continues to invite different types of players including telcos, hyperscalers, data centre operators and enterprise connectivity providers. The varying requirements across verticals, business sizes and use cases create an opportunity that can accommodate all these different players. However, it is important for any edge provider to understand how to position its service in the space and what areas of the market to pursue vertically and horizontally.

Through quantitative analysis, this report aims to help telcos and others to identify where opportunities lie. This report presents the key findings of STL Partners’ demand forecast model for edge computing services. Its purpose is to:

  • Assess the demand from 20 use cases which currently rely on edge or will require edge to fully develop;
  • Identify the total revenue across the value chain: device, connectivity, application, edge infrastructure (regional, network and on-premise), and integration and support;
  • Output a full set of results for over 90 countries over the 2020–2030 period per use case and per vertical.

This report is accompanied by a dashboard which presents a summary of our model output and the associated graphics for the world’s regions and for 20 major markets. The dashboard also presents the full revenue output for the 97 countries.

Download the accompanying spreadsheet 

Edge computing addressable revenue will reach US$445 billion by 2030

High-level findings from the model indicate that:

  • The total edge computing addressable market will grow from US$9 billion in 2020 to US$445 billion in 2030 at a CAGR of 48% over the 10-year period.
  • We now forecast regional edge in addition to network and on-prem edge. Regional edge refers to local edge data centres that are outside the telecoms operators’ network. Examples of these include internet exchange data centres, small data centres in Tier 2/3 cities, AWS Local Zones, etc.
  • The vertical opportunities in on-prem and distributed edge are quite different. Telcos and other providers that are looking into the various types of infrastructure to offer edge services should evaluate these differences and assess their own capabilities and willingness to compete in these verticals.
  • The growth in the number of connected devices, as well as the need for higher levels of automation, operational efficiency and cost reduction, will drive the adoption of edge computing across many use cases and verticals over the next 10 years. This will result in increased spend across the value chain.

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Total edge computing addressable revenue 2020–2030

This forecast is part of our Edge Insights Service which also includes:

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Network edge capacity forecast: The role of hyperscalers

Developers need to see sufficient edge capacity

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

This forecast models capacity at these sites for non-RAN workloads. In other words, processing for enterprise or consumer applications and the distributed core network functions required to support them. We cover forecasts on RAN as part of our Telco Cloud research services portfolio.

Forecast scope in terms of edge locations and workload types

Source: STL Partners

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The output of the forecast focuses on capacity: number of edge data centres and servers

STL Partners has always argued that for network edge to take off, developers and enterprises need to see sufficient edge capacity to transform their applications to leverage its benefits at scale. The forecast seeks to provide an indication for how this will grow over the next five years, by predicting the number of edge data centres owned by telecoms operators and how many servers they plan to fill these up with.​

Hardware vendors have been evolving their server portfolios for a number of years to fit the needs of the telecoms industry. This started with core network virtualisation, as the industry moved away from an appliance-based model to using common-off-the-shelf hardware to support the virtualised LTE core.​

As infrastructure moves “deeper” into the edge, the requirements for servers will change. Servers at RAN base stations will not have full data centre structures, but need to be self-contained and ruggedised. ​

However, at this stage of the market’s maturity, most servers at the network edge will be in data centre-like facilities. ​

There are three key factors determining a telco’s approach and timing for its edge computing data centres

Telecoms operators want to build their network edge capacity where there is demand. In general, the approach has been to create a deployment strategy for network edge data centres that guarantees a level of (low) latency for a certain level of population coverage. In interviews with operators, this has often ranged from 90-99% of the population experiencing sub-10 to 20 millisecond roundtrip latency for applications hosted at their network edge.​

The resultant distribution of edge capacity will therefore be impacted by the spread of the population, the size of the country and the telecoms operator’s network topology. For example, in well connected, small countries, such as the Netherlands, low latencies are already achievable with the current networks and location of centralised data centres.

Key factors determining network edge build​

Source: STL Partners

The actual number of sites and speed at which a telecoms operator deploys these sites is driven by three main factors: ​

Factor 1: edge computing strategy;​

Factor 2: the speed at which it has or will deploy 5G (if it is a mobile operator);​

Factor 3: the country’s geographic profile.​

Details on the evidence for the individual factors can be found in the inaugural report, Forecasting capacity of network edge computing.

Table of contents

  • Executive summary
  • Introduction to the forecast
  • Key findings this year
  • Regional deep-dives
  • Role of hyperscalers
  • Conclusions
  • Appendix: Methodology

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Edge computing market sizing forecast

We have updated this forecast. Check the latest report here

Introducing STL Partners’ edge computing market sizing forecast

This report presents the key findings of STL Partners’ new demand forecast model for edge computing services. Its purpose is to:

  • Assess the demand from 20 use cases which currently rely on edge or will require edge to fully develop;
  • Identify the total revenue across the value chain: hardware, connectivity, application, edge infrastructure (network and on-premise), and integration and support;
  • Output a full set of results for over 180 countries over the 2020–2030 period per use case and per vertical.

This report is accompanied by a dashboard which presents a summary of our model output and the associated graphics for the world’s regions and for 20 major markets. The dashboard also presents the full revenue output for the 180+ countries.

Enter your details below to request an extract of the report

Edge computing addressable revenue will reach US$543 billion by 2030

High-level findings from the model indicate that:

  • The growth in the number of connected devices, as well as the need for higher levels of automation, operational efficiency and cost reduction, will drive the adoption of edge computing across many use cases and verticals over the next 10 years. This will result in increased spend across the value chain.
  • The total edge computing addressable market will grow from US$10 billion in 2020 to US$543 billion in 2030 at a CAGR of 49% over the 10-year period.
  • The total value chain breaks into five main components which are hardware, connectivity, application, integration & support, in addition to the edge infrastructure which includes both on-prem edge and network edge.

Total edge computing addressable revenue

Edge computing

Source: STL Partners

Table of contents

  • Executive Summary
  • Methodology
  • Revenue by value chain component
  • Revenue by use case
  • Revenue by vertical
  • Revenue by region
  • Appendix

For more information on STL Partners’ edge-related services, please go to our Edge Insights Service page.

The new forecast is intended to complement:

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Building telco edge infrastructure: MEC, Private LTE and VRAN

Reality check: edge computing is not yet mature, and much is still to be decided

Edge computing is still a maturing domain. STL Partners has written extensively on the topic of edge computing over the last 4 years. Within that timeframe, we have seen significant change in terminology, attitudes and approaches from telecoms and adjacent industries to the topic area.  Plans for building telco edge infrastructure have also evolved.

Within the past twelve months, we’ve seen high profile partnerships between hyperscale cloud providers (Amazon Web Services, Microsoft and Google) and telecoms operators that are likely to catalyse the industry and accelerate route to market. We’ve also seen early movers within the industry (such as SK Telecom) developing MEC platforms to enable access to their edge infrastructure.

In the course of this report, we will highlight which domains will drive early adoption for edge, and the potential roll out we could see over the next 5 years if operators move to capitalise on the opportunity. However, to start, it is important to evaluate the situation today.

Commercial deployments of edge computing are rare, and most operators are still in the exploration phase. For many, they have not and will not commit to the roll out of edge infrastructure until they have seen evidence from early movers that it is a genuine opportunity for the industry. For even more, the idea of additional capex investment on edge infrastructure, on top of their 5G rollout plans, is a difficult commitment to make.

Where is “the edge”?

There is no one clear definition of edge computing. Depending on the world you are coming from (Telco? Application developer? Data centre operator? Cloud provider? etc.), you are likely to define it differently. In practice, we know that even within these organisations there are differences between technical and commercial teams around the concept and terminology used to describe “the edge”.

For the purposes on this paper, we will be discussing edge computing primarily from the perspective of a telecoms operator. As such, we’ll be focusing on edge infrastructure that will be rolled out within their network infrastructure or that they will play a role in connecting. This may equate to adding additional servers into an existing technical space (such as a Central Office), or it may mean investing in new microdata centres. The servers may be bought, installed and managed by the telco themselves, or this could be done by a third party, but in all cases the real estate (e.g. the physical location as well as power and cooling) is owned either by the telecoms operator, or by the enterprise who is buying an edge-enabled solution.

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Operators have choice and a range of options for where and how they might develop edge computing sites. The graphic below starts to map some of the potential physical locations for an edge site. In this report, STL Partners forecasts edge infrastructure deployments between 2020 and 2024, by type of operator, use-case domains, edge locations and type of computing.

There is a spectrum of edge infrastructure in which telcos may invest

mapping edge infrastructure investmentSource: STL Partners

This paper primarily draws on discussions with operators and others within the edge ecosystem conducted between February and March 2020. We interviewed a range of operators, and a range of job roles within them, to gain a snapshot of the existing attitudes and ambitions within the industry to shape our understanding of how telcos are likely to build out edge infrastructure.

Table of Contents

  • Executive Summary
  • Preface
  • Reality check: edge computing is not yet mature, and much is still to be decided
    • Reality #1: Organisationally, operators are still divided
    • Reality #2: The edge ecosystem is evolving fast
    • Reality #3: Operators are trying to predict, respond to and figure out what the “new normal” will be post COVID-19
  • Edge computing: key terms and definitions
    • Where is “the edge”?
    • What applications & use cases will run at edge sites?
    • What is inside a telco edge site?
  • How edge will play out: 5-year evolution
    • Modelling exercise: converting hype into numbers
    • Our findings: edge deployments won’t be very “edgy” in 2024
    • Short-term adoption of vRAN is the driving factor
    • New revenues from MEC remain a longer-term opportunity
    • Short-term adoption is focused on efficient operations, but revenue opportunity has not been dismissed
  • Addressing the edge opportunity: operators can be more than infrastructure providers
  • Conclusions: practical recommendations for operators

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