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.
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.
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.
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.
Our report forecasts $445bn 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.
Edge computing: the US$500 billion opportunity, modelling total edge computing addressable revenue 2020–2030.