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Tag Archives: Inferencing

Edge computing market sizing forecast: Fifth release

This report presents the main findings of our latest quantitative research on global demand for edge computing services through to 2030. In this forecast, we analyse demand for on-premises, network and regional edge infrastructure across 21 use cases and 16 industry verticals. This edition also examines key adoption trends emerging from real-world deployments and highlights pricing dynamics observed across the vendor ecosystem.

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.

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.