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As real-time, AI-driven workloads scale, cloud-native systems are falling short at the edge. This report explores why edge-native platforms that are lightweight, modular and purpose-built for decentralised environments are emerging as the architectural foundation for the next generation of intelligent, autonomous systems.
This report outlines the main findings of our latest quantitative research on the global demand for edge computing services towards 2030. We identify the total revenue across the value chain and explore the growing demand for network, regional and on-premises edge across 20 use cases and 16 verticals globally.
In light of the fast-evolving climate surrounding edge AI, we take stock of the upside and the downside risks that may move the needle on our recent Edge AI market forecast.
The huge wave of AI has accelerated demand for cloud, but it has also triggered questions on whether deploying in centralised environments is always suitable, or if enterprises should instead consider the edge. Our edge AI forecast identifies the value of this opportunity, pointing to the use cases and the verticals that are driving growth, and determining the extent to which AI will stimulate more revenue at the edge.
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.
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?