AI 및 머신러닝 시장 데이터 개요 : 2024년 3분기

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 both at the edge and in the cloud.
• Evaluate strategy based on the relative growth of chipset architectures.

Critical Questions Answered:

• How will AI hardware be adopted in edge devices, gateways, and servers until 2030?
• 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 2030?

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.

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 effected by AI.

TABLE OF CONTENTS

Key Findings

Key Recommendations

Whats New

Methodology

Significant Forecasts

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