External pressures shaping the edge AI landscape

External pressures shaping the edge AI landscape

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In light of the fast-evolving climate surrounding edge AI, we take stock of the upside and the downside risks that may move the needle on our recent Edge AI market forecast.

Description

Format: PDF filePages: 40Author: George GlanvillePublication Date: February 2025

 

Our recent Edge AI market forecast identified the substantial value of the edge AI opportunity – USD147 billion by 2030. However, this is a fast-evolving climate and is subject to the influence of several external forces. In this report, we analyse five of these key external trends that could ultimately move the needle on our forecast. This includes the role of big tech, AI regulation, generative AI, federated learning and the GPUaaS ‘goldrush’.

 

Table of contents

  • Executive summary
  • Introduction
  • External pressures on the forecast
    • Strategic direction of big tech
      • Nvidia
      • ‘The big three’
    • Trends in AI regulation
    • Implications of the GPUaaS ‘goldrush’
    • Generative AI at the edge
    • Federated learning

 

Technologies and industry terms referenced include: AI, AI regulation, AIaaS, AWS, Axelera, Azure, Cambricon, Deepseek, edge computing, EU AI Act, Federated learning, Generative AI, Google Cloud, GPUaaS, Hailo, Hyperscalers, Intel, LLM, Margo Initiative, ML, network edge, nvidia, on-premise edge, ONNX, regional edge, regulation, SLM