인공지능 및 머신러닝 : 클라우드 AI

Actionable Benefits:

• Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in cloud environments for the rest of the decade.
• Understand how cloud AI chipset shipment and revenue will grow by key regions and architectures, e.g., Graphics Processing Units (GPUs).
• Evaluate strategies based on relative growth of key AI frameworks and inference versus training in cloud AI.
• Compare the market size of AI chipsets in the cloud to edge environments.

Critical Questions Answered:

• How significant will AI chipset adoption be in servers until 2030?
• How will the AI chipset market for each region develop going forward?
• Which AI frameworks will these chipsets target?
• Which chipset architecture will dominate cloud AI by 2030?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the cloud market from 2023 to 2030.
• Detailed breakdowns by region, architecture, workload, and AI framework.

Who Should Read This?

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

TABLE OF CONTENTS

Key Findings

Key Recommendations

What's New

Methodology

Significant Forecasts