人工智慧与机器学习：云端人工智慧市场数据概览（2025 年第三季）

本报告分析了云端人工智慧晶片组市场，并提供了人工智慧晶片组出货量和收入的预测，以及按地区、架构、工作负载和人工智慧框架划分的区隔数据。

实际优势：

• 预测到 2031 年云端人工智慧晶片组的市场规模（出货量和收入）。
• 了解主要架构（例如 GPU）和不同地区云端人工智慧晶片组出货量和收入的成长。
• 根据主要人工智慧框架的成长率以及云端人工智慧中推理和学习之间的平衡，评估相关策略。
• 比较云端和边缘环境中人工智慧晶片组的市场规模。

回答关键问题：

• 到 2031 年，AI 晶片组在伺服器的应用程度如何？
• AI 晶片组市场将如何依地区发展？
• 这些晶片组主要面向哪些 AI 框架？
• 到 2031 年，哪种晶片组架构将主导云端 AI？

研究亮点：

• 2024年至2031年云端市场AI晶片组出货量与营收预测
• 按地区、架构、工作负载和AI框架划分的详细分析

目录

本产品应与 "人工智慧机器学习云AI" （MD-AIMLCL-103）搭配使用。

主要发现

最新发布

研究方法

主要预测

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