Edge computing use case directory
Discover the best edge monetisation opportunities, understand the key partners, and inform your go-to-market strategy through our edge computing use case directory.
Tag Archives: edge AI
MWC 2026: AI but with more realism than hype
AI was again at the centre of MWC. But now telcos are focused on what they can practically achieve with AI rather than on boosting investor perception. Satellites, 5G standalone, sovereignty, security and quantum are other themes we noted in Barcelona.
Enterprise AI: Practical steps for telcos to address customer needs
In the first report in this series we identified the most promising opportunities for telcos to serve enterprise AI needs. This follow-up research focuses on the practical steps telcos must take to execute, differentiate and deliver impact for enterprises adopting AI.
What is the role of edge computing in an AI world?
STL Partners takes stock of the development of the edge computing ecosystem over the past five years, how AI has now reshaped the landscape and proposes its view on the future outlook of the market: including the likely winners and losers.
STL Partners’ annual edge computing industry survey
2025 has seen renewed industry enthusiasm towards edge computing. Our latest industry survey examines these evolving perspectives, capturing insights from stakeholders across the ecosystem on a range of pressing topics.
Enterprise AI: What are the best opportunities for telcos?
This report examines the key opportunities for telecom operators to monetise enterprise AI and secure long-term relevance within the emerging AI ecosystem.
Why edge-native platforms are the future of computing
This is a series of two reports exploring the potential for edge-native architectures and how they can bring new monetisation opportunities for original equipment manufacturers (OEMs).
Networks for AI: Segmenting the growth
AI will create large potential opportunities for telcos in connectivity and use case enablement. But telcos must manage expectations and prioritise their investments carefully.
AI: Good or bad for sustainability?
As AI’s energy consumption rises, so do sustainability concerns. This report explores why this technology is so power-intensive, how to mitigate its impact and whether it can help reduce emissions. It also examines four possible scenarios for future energy consumption – from unchecked growth to greater efficiency – and their sustainability implications.
Edge AI market forecast: The USD157 billion opportunity
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.
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.