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Free Research

Artificial Intelligence and Machine Learning Market Data Update: 2Q 2026

Price: Starting at USD 1,950
Publish Date: 01 Jun 2026
Code: PT-4038
Research Type: Presentation
Pages: 25
Actionable Benefits

Actionable Benefits

  • Identify growth opportunities and formulate the right messaging and strategies for Artificial Intelligence (AI) solutions in specific verticals.
  • Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue across the compute continuum, from far edge to cloud.
  • Evaluate strategy based on the relative growth of chipset architectures.
Research Highlights

Research Highlights

  • Detailed coverage of devices, gateways, and on-premises servers by region, architecture, vertical, workload, and use case.
  • Shipments of devices with edge AI chipsets by 17 verticals and 4 regions.
  • Evolution of AI chipset architecture in the cloud and at the edge.
Critical Questions Answered

Critical Questions Answered

  • How will AI hardware be adopted in edge devices, gateways, and servers until 2031?
  • How will the cloud and edge AI market evolve over time, both globally and regionally?
  • How will edge AI be implemented across different verticals?
  • Which chipset architecture will dominate AI by 2031?
Who Should Read This?

Who Should Read This?

  • Product strategists at AI chipset vendors.
  • AI solution providers looking to understand short-term and long-term vertical-specific opportunities.
  • Investors gauging the potential for growth in the markets covered.
  • Sales and marketing leaders in diverse markets affected by AI.

Table of Contents

This product is meant to be read in conjunction with Artificial Intelligence and Machine Learning (MD-AIML-114)

Key Findings

What’s New

Significant Forecasts

Methodology