人工智慧与机器学习：边缘人工智慧市场资料概述（2024年第2季）

本报告研究了人工智慧（AI）和机器学习市场，包括边缘设备、网关和本地伺服器中人工智慧采用的趋势、边缘市场中人工智慧晶片组出货量和收入的预测，按地区、架构、产业、工作负载和用例的详细分析。

实际好处：

• 了解人工智慧在边缘设备、闸道器和本地伺服器的普及程度
• 了解主要产业和地区的边缘人工智慧晶片组出货量和收入成长
• 可以根据边缘 AI 晶片组架构的相对成长来评估策略
• 让内部和外部利害关係人了解人工智慧对晶片组出货量和收入的影响

关键问题的答案：

• 到2030年，人工智慧硬体将如何应用于边缘设备、网关和伺服器？
• 依设备类型和产业划分，AI晶片组市场将如何发展？
• Edge AI 将针对哪些 AI 工作负载？
• 这种成长因地区和晶片组架构的不同而有何不同？
• 到2030年，哪种晶片组架构将主导边缘人工智慧？

研究亮点：

• 预测边缘市场的人工智慧晶片组出货量和收入：2023-2030年
• 依地区、架构、产业、工作负载和用例详细分类

目录

主要发现

新资讯

调查方法

重要预测

Actionable Benefits:

• Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premise servers.
• Understand how edge AI chipset shipment 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 2030?
• 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 2030?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the edge market from 2023 to 2030.
• 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 entire AI stack developing edge AI product and strategy.
• Chipset vendors seeking greater insight into their market sizes and new growth areas.

TABLE OF CONTENTS

Key Findings

What's New

Methodology

Significant Forecast