This research note presents STL Partners’ forecast for the number of active private network sites over a 7-year period. It details site numbers across seven regions and acts as a complement to our Private network market forecast 2024–2030.
As CSPs transition into the Coordination Age, they face critical challenges in adopting cloud-native architectures and transforming operational models to meet the demands of enhanced connectivity and resource optimisation. This report provides practical strategies to navigate these challenges, with a focus on simplifying RAN transformation, enabling agility and unlocking new opportunities for innovation and growth.
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.
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.
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.