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Artificial Intelligence and Machine Learning: Personal & Work Devices

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LSH 24.08.01

Actionable Benefits:

  • Identify the key areas of growth in personal and work devices affected by Artificial Intelligence (AI).
  • Gain insight into the timing and magnitude of growth in AI chipsets, including novel heterogenous systems.
  • Educate internal and external stakeholders about the impact of AI on refresh cycles.

Critical Questions Answered:

  • How prominent will AI hardware be in devices throughout the rest of the decade?
  • How will the AI chipset market for each device type develop going forward?
  • How does this growth differ by region and chipset architecture?

Research Highlights:

  • Forecasts for AI chipset shipments and revenue in devices throughout the rest of the decade.
  • Detailed regional breakdowns for each device type.
  • Devices include smartphones, notebooks, and desktop Personal Computers (PCs).

Who Should Read This?

  • Sales and marketing leaders in the smartphone, PC, tablet, and gaming console markets.
  • Investors gauging the potential for growth in the markets covered.
  • Chipset vendors seeking greater insight into their market sizes.

TABLE OF CONTENTS

Key Findings

What's New

Methodology

Significant Forecast

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