人工知能と機械学習のマーケットデータ

• 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

• 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

• 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?

• 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.

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