人工智慧与机器学习：边缘人工智慧市场数据概览（2025 年第三季）

本报告分析了边缘运算领域的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、行业、工作负载和用例划分的区隔数据。

实际优势：

• 了解人工智慧在边缘设备、闸道器和本机伺服器的渗透情况。
• 了解主要产业垂直领域和地区边缘人工智慧晶片组出货量和收入的成长。
• 根据边缘人工智慧晶片组按架构划分的成长率评估相关策略。
• 向内部和外部利害关係人解释人工智慧对晶片组出货量和收入的影响。

回答关键问题：

• 到 2031 年，AI 硬体将如何在边缘设备、网关和伺服器中应用？
• AI 晶片组市场将如何依设备类型和产业发展？
• 边缘 AI 的目标 AI 工作负载是什么？
• 这种成长如何因地区和晶片组架构而异？
• 到 2031 年，哪种晶片组架构将主导边缘 AI？

研究亮点：

• 2024-2031年边缘运算市场AI晶片组出货量与营收预测
• 按地区、架构、产业、工作负载和用例划分的详细分析

目录

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

主要发现

最新发布

研究方法

主要预测

Actionable Benefits:

• Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premises servers.
• Understand how edge AI chipset shipments and revenue will grow by key verticals and regions.
• Evaluate strategy based on relative growth of edge AI chipset architectures.
• Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue.

Critical Questions Answered:

• How will AI hardware be adopted in edge devices, gateways, and servers until 2031?
• How will the AI chipset market for each device type and vertical develop going forward?
• Which AI workloads will edge AI target?
• How does this growth differ by region and chipset architecture?
• Which chipset architecture will dominate edge AI by 2031?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the edge market from 2024 to 2031.
• Detailed breakdowns by region, architecture, vertical, workload, and use case.

Who Should Read This?

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

TABLE OF CONTENTS

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

Key Findings

Whats New

Methodology

Significant Forecast