This report presents quantitative analysis of the global demand for private networks over a 7-year period. We explore the revenue trends across the value chain and provide insights into different deployment models and technologies across 14 verticals.
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.
Telecoms operators are still grappling with how they should work with hyperscalers; the network edge is a key battleground. This report is an update of our network edge capacity forecasts and incorporates survey data from over 190 respondents to evaluate the market’s views on telcos.
Edge computing: the US$500 billion opportunity, modelling total edge computing addressable revenue 2020–2030.
Edge infrastructure deployment is happening – but how big will it really be, and where will it happen? We quantify the five-year outlook for edge deployments across four key domains.