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Tag: AI

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.

Real-time automation: The future of transport & logistics

Real-time automation is transforming the transport and logistics sector – and growth in demand for enabling technologies such as edge, AI and IoT is expected to be faster than in any other vertical. In this report, we outline strategies geared towards enabling ecosystem players to capitalise on the opportunity by addressing critical challenges and opportunities.

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? 

Telco generative AI adoption tracker

The Telco generative AI adoption tracker is a database of announcements, trials and deployments of generative AI within telcos around the world.
In the latest update, we have added a list of generative AI solutions targeted at telcos.

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.

Achieving next-level network autonomy

Implementing autonomous networks offers an average CSP cost savings and annual revenue uplift of around US$794 million. However, challenges impede progress to realise this financial potential. This report addresses five of the main obstacles faced by CSPs and provides recommendations to help overcome them.

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.