封面
市场调查报告书
商品编码
1867409

人工智慧与机器学习:市场数据概览(2025 年第三季)

Artificial Intelligence and Machine Learning Market Data Overview: 3Q 2025

出版日期: | 出版商: ABI Research | 英文 | 商品交期: 最快1-2个工作天内

价格
简介目录

本报告深入分析了人工智慧和机器学习市场,详细分析了设备、网关和本地伺服器,并对 17 个行业和 4 个地区的边缘人工智慧晶片组的设备出货量和预测进行了详细分析,同时也探讨了云端和边缘人工智慧晶片组架构的演进。

实际优势:

  • 识别特定产业人工智慧解决方案的成长机会,并制定最佳资讯传递和策略。
  • 帮助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,涵盖从边缘到云端的整个运算领域。
  • 根据晶片组架构的相对成长评估策略。

关键问题解答:

  • 到 2031 年,人工智慧硬体将如何应用于边缘设备、网关和伺服器?
  • 全球和区域范围内的云端和边缘人工智慧市场将如何发展?
  • 边缘人工智慧将如何在各行业中得到应用?
  • 到 2031 年,哪种晶片组架构将引领人工智慧领域?

研究亮点:

  • 按地区、架构、产业、工作负载和用例对设备、网关和本地伺服器进行详细分析
  • 17 个产业和 4 个地区配备边缘 AI 晶片组的设备出货量
  • 云端与边缘 AI 晶片组架构的演进

目录

本产品应与 "人工智慧与机器学习" (MD-AIML-113)配合阅读。

主要发现

最新发布

研究方法

主要预测

简介目录
Product Code: PT-3888

Actionable Benefits:

  • Identify growth opportunities and formulate the right messaging and strategies for Artificial Intelligence (AI) solutions in specific verticals.
  • Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue across the compute continuum, from far edge to cloud.
  • Evaluate strategy based on the relative growth of chipset architectures.

Critical Questions Answered:

  • How will AI hardware be adopted in edge devices, gateways, and servers until 2031?
  • How will the cloud and edge AI market evolve over time, both globally and regionally?
  • How will edge AI be implemented across different verticals?
  • Which chipset architecture will dominate AI by 2031?

Research Highlights:

  • Detailed coverage of devices, gateways, and on-premises servers by region, architecture, vertical, workload, and use case.
  • Shipments of devices with edge AI chipsets by 17 verticals and 4 regions.
  • Evolution of AI chipset architecture in the cloud and at the edge.

Who Should Read This?

  • Product strategists at AI chipset vendors.
  • AI solution providers looking to understand short-term and long-term vertical-specific opportunities.
  • Investors gauging the potential for growth in the markets covered.
  • Sales and marketing leaders in diverse markets affected by AI.

TABLE OF CONTENTS

This product is meant to be read in conjunction withArtificial Intelligence and Machine LearningMD-AIML-113

Key Findings

Whats New

Methodology

Significant Forecasts