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Artificial Intelligence & Machine Learning: Edge AI Market Data Overview 2Q 2024

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JHS 24.07.31

Actionable Benefits:

  • Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premise servers.
  • Understand how edge AI chipset shipment and revenue will grow by key verticals and regions.
  • Evaluate strategy based on relative growth of edge AI chipset architectures.
  • Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue.

Critical Questions Answered:

  • How will AI hardware be adopted in edge devices, gateways, and servers until 2030?
  • How will the AI chipset market for each device type and vertical develop going forward?
  • Which AI workloads will edge AI target?
  • How does this growth differ by region and chipset architecture?
  • Which chipset architecture will dominate edge AI by 2030?

Research Highlights:

  • Forecasts for AI chipset shipments and revenue in the edge market from 2023 to 2030.
  • Detailed breakdowns by region, architecture, vertical, workload, and use case.

Who Should Read This?

  • Sales and marketing leaders in diverse markets affected by AI.
  • Investors gauging the potential for growth in the markets covered.
  • Strategists across entire AI stack developing edge AI product and strategy.
  • Chipset vendors seeking greater insight into their market sizes and new growth areas.

TABLE OF CONTENTS

Key Findings

What's New

Methodology

Significant Forecast

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