AI 및 머신러닝 : 클라우드 AI 시장 데이터 개요(2025년 3분기)

Actionable Benefits:

• Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in cloud environments through 2031.
• Understand how cloud AI chipset shipments and revenue will grow by key regions and architectures, e.g., Graphics Processing Unit (GPU).
• Evaluate strategy based on relative growth of key AI frameworks and inference versus training in cloud AI.
• Compare the market size of AI chipsets in cloud to edge environments.

Critical Questions Answered:

• How significant will AI chipsets adoption be in servers until 2031?
• 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 2031?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the cloud market from 2024 to 2031.
• 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 products and marketing.

TABLE OF CONTENTS

This product is meant to be read in conjunction with Artificial Intelligence Machine Learning Cloud AI MD-AIMLCL-103

Key Findings

Whats New

Methodology

Significant Forecasts