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Tag: edge computing

A guide to edge computing for investors

Edge computing is a key enabling technology for AI and GenAI applications, providing the local processing power and low-latency connectivity needed for real-time decision-making and data processing. This report looks at the trends in investments in edge computing companies – from edge data centres to platforms and applications – and the market outlook for 2025.

Network edge data centre forecast: Building the base

Our latest iteration of the Network edge data centre forecast shows that deployments are gradually bringing this market to life, despite the first early exits happening in 2024. What impact will 5G SA, data regulation and AI have on development of the network edge landscape? 

Industry survey: Understanding network edge demand

There is much debate in the industry on the topic of telco edge computing, but little clarity for players within the telecom industry and potential customers on how much capacity will be available.
In this report, we provide insights from our annual industry survey on the state of network edge, including the key triggers for deployments.

AWS, Azure and Google Cloud: Who’s got the edge?

This report analyses the edge computing strategies of the ‘big three’ cloud providers – Amazon Web Services (AWS), Google Cloud and Microsoft Azure. We assess how successful they have been at developing solutions across the edge continuum, including on-premise, network and regional edge, and determine who leads this nascent market.

Converging edge, IoT and AI: A strategic guide to success in a growing market

The market for edge IoT presents a significant opportunity for technology solution providers but has yet to reach its full potential. In this report, we present the results from a four-part research series conducted in partnership with Volt Active Data, focusing on how to capture this value. This report addresses critical aspects such as the technical challenges, ecosystem dynamics and ultimately, the pathway to monetisation for edge IoT solutions.

Gaming: A guide to levelling up

This playbook provides telcos with an understanding of the fundamentals of the gaming market and where they could fit into it. Following a thorough assessment of telco activities in this area, STL Partners presents four service types and roles that telcos can take, with detailed case studies and analysis to help operators choose their path in gaming.

MWC 2024: More than AI and APIs

STL Partners’ Research team present their observations from and analysis of the biggest mobile industry event of the year. There was a lot of buzz around AI and API but behind the tech jargon, we saw evidence that our industry continues to morph to become more open and customer-focused.

Analysing edge computing M&A trends

This report summarises the value and trends of M&A deals related to edge computing, covering the time period of the last four years. The report highlights key deals and company spotlights, as well as providing insights into the expected M&A activity over the next year.

Edge computing market sizing forecast: Third release

Our report forecasts $462bn in global demand for edge computing services in 2030. We explore the global demand for on-prem, network, and regional edge represented by 20 use cases and 16 verticals. The forecast helps telcos and other edge providers to identify which areas of the market and the value chain are most suitable for them to capture.

Utilities

Utilities: The role of private 4G/5G

The utilities sector is a promising opportunity area for private LTE and 5G networks. But it is not an easy one for telcos to address, as utility companies often deploy and manage networking technology in-house or via specialist service providers to satisfy service requirements. This report examines the sector realities.

Edge AI – How AI is sparking the adoption of edge computing

AI applications will require low-latency, local compute for rapid inferencing and large scale data collection, triage, and engineering. Edge compute will therefore play a key role in AI app delivery. However it’s not just about infrastructure – commercial scale for edge AI will depend on effective ecosystem collaboration models.

Telco edge manifesto

Since 2015 STL Partners has helped telecoms operators to develop their edge computing strategies. We summarise our learnings from those engagements as a manifesto for how the industry can address the edge computing opportunity.