STL Partners’ annual edge computing industry survey

STL Partners’ annual edge computing industry survey

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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.

Description

Format: PDF filePages: 21Author: George GlanvillePublication date: October 2025

As adoption of generative AI rises, the debate on where inferencing will happen has heated up, creating a renewed interest in edge computing infrastructure. Our survey of more than 100 industry practitioners sheds light on how, whether and where edge has a role to play in this space.

Topics covered in the survey:

  • Trends across the edge continuum
    • Trigger points for deployment at the edge
    • Obstacles to deployment at the edge
    • Highest industry adopters of edge computing
    • Most prevalent application workloads deployed across edge environments
    • Key enterprise stakeholders driving edge investment
  • Edge AI deep dive
    • Characteristics driving deployment of AI workloads at the edge
    • Type of edge computing infrastructure preferred by enterprises for AI deployments
    • Views on the likelihood of deploying inferencing and training workloads at the edge
    • Extent to which accelerated hardware will be deployed at the edge

Technologies and industry terms referenced include: AI inferencing, AI model training, computer vision, edge AI, edge computing, Federated learning, GPU, latency, manufacturing, network edge, on-premise edge, regional edge, retail, Survey