边缘人工智慧市场规模、份额及成长分析（按组件、处理器类型、最终用途产业、应用和地区）－2025 年至 2032 年产业预测

预计 2023 年全球边缘人工智慧 (AI) 市场规模将达到 240.5 亿美元，从 2024 年的 305.4 亿美元成长到 2032 年的 2067 亿美元，预测期内（2025-2032 年）的复合年增长率为 27.0%。

随着云端解决方案的广泛采用以及边缘运算的日益普及，最尖端科技的整合变得越来越普遍，尤其是在边缘人工智慧（AI）领域。这些进步，加上连网设备的激增，可能会在未来几年为边缘人工智慧公司创造巨大的成长机会。 5G网路的引入和对智慧城市计画的关注可能会进一步提升这些公司的业务潜力。然而，处理能力有限、资料管理障碍和整合复杂性等挑战可能会阻碍边缘人工智慧市场到 2031 年的成长轨迹。总体而言，这个不断发展的领域的相关人员面临着机会和障碍。

目录

介绍

• 调查目的
• 研究范围
• 定义

调查方法

• 资讯采购
• 二次资料和一次资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分机会分析

市场动态与展望

• 市场概览
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

关键市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2024年）
• PESTEL分析
• 总体经济指标
• 价值链分析
• 定价分析
• 案例研究
• 监管格局
• 技术进步

全球边缘人工智慧（AI）市场规模（按组件）

• 市场概览
• 硬体
• 软体
• 服务

全球边缘人工智慧（AI）市场规模（按处理器类型）

• 市场概览
• 中央处理器（CPU）
• 图形处理单元 (GPU)
• 专用积体电路（ASIC）
• 现场可程式闸阵列（FPGA）

全球边缘人工智慧（AI）市场规模（按最终用途产业）

• 市场概览
• 家电
• 智慧城市
• 车
• 卫生保健
• 製造业
• 零售
• 能源与公共产业
• 其他的

全球边缘人工智慧（AI）市场规模（按应用）

• 市场概览
• 自动驾驶汽车
• 智慧型相机
• 机器人技术
• 穿戴式装置
• 智慧家庭设备
• 工业IoT
• 其他的

全球边缘人工智慧（AI）市场规模

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市场占有率分析（2024年）
• 主要企业简介
  • 公司详情
  • 产品系列分析
  • 公司分部份额分析
  • 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

• NVIDIA（United States）
• Intel Corporation（United States）
• Google（United States）
• Microsoft Corporation（United States）
• Amazon Web Services（United States）
• IBM Corporation（United States）
• Qualcomm（United States）
• Apple Inc.（United States）
• Huawei Technologies（China）
• Samsung Electronics（South Korea）
• Baidu（China）
• Alibaba（China）
• Sony Corporation（Japan）
• Advanced Micro Devices（AMD）（United States）
• Arm Holdings（United Kingdom）
• TIBCO Software（United States）
• Veea Inc.（United States）

结论和建议

Global Edge Artificial Intelligence (AI) Market size was valued at USD 24.05 billion in 2023 and is poised to grow from USD 30.54 billion in 2024 to USD 206.7 billion by 2032, growing at a CAGR of 27.0% during the forecast period (2025-2032).

The integration of cutting-edge technologies is increasingly prevalent, particularly in the realm of edge artificial intelligence (AI), driven by the widespread adoption of cloud solutions and the expanding use of edge computing. These advancements, coupled with the proliferation of connected devices, are poised to unlock significant growth opportunities for edge AI firms in the upcoming years. The incorporation of 5G networks and a focus on smart city initiatives will further enhance the business potential for these companies. However, challenges such as limited processing power, data management hurdles, and integration complexities could hinder the growth trajectory of the edge AI market through 2031. Overall, the landscape presents a mix of opportunities and obstacles for stakeholders in this evolving sector.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Edge Artificial Intelligence (AI) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Edge Artificial Intelligence (AI) Market Segments Analysis

Global Edge Artificial Intelligence (AI) Market is segmented by Component, Processor Type, End-Use Industry, Application and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Processor Type, the market is segmented into Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC) and Field-Programmable Gate Array (FPGA). Based on End-Use Industry, the market is segmented into Consumer Electronics, Smart Cities, Automotive, Healthcare, Manufacturing, Retail, Energy & Utilities and Others. Based on Application, the market is segmented into Autonomous Vehicles, Smart Cameras, Robotics, Wearables, Smart Home Devices, Industrial IoT and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Edge Artificial Intelligence (AI) Market

The increasing adoption of edge AI solutions is a significant driver for the global artificial intelligence market, as these technologies enable improved data processing and real-time analytics across various applications that demand instant responses. Key areas benefiting from edge AI include autonomous vehicles and industrial automation, where the ability to process data locally leads to enhanced efficiency and quicker decision-making. By leveraging edge AI, organizations can address critical needs in fast-paced environments, ultimately boosting operational efficacy and paving the way for innovative advancements in multiple sectors, thereby propelling the growth of the overall AI market.

Restraints in the Global Edge Artificial Intelligence (AI) Market

Although edge AI solutions are designed to minimize latency in data processing, the processing capabilities of edge devices are inherently limited. This limitation often falls significantly short of the capacity of centralized processing servers, posing a significant challenge for executing complex AI algorithms on edge devices. As a result, this constraint hinders the overall potential for market growth and development in the Global Edge Artificial Intelligence sector. The inability to efficiently deploy sophisticated AI applications on these devices may stifle innovation and present obstacles that need addressing for the market to flourish fully.

Market Trends of the Global Edge Artificial Intelligence (AI) Market

The Global Edge Artificial Intelligence (AI) market is experiencing a robust upward trend, fueled by escalating investments in smart city developments worldwide. Governments are increasingly launching new initiatives and programs aimed at fostering intelligent urban infrastructure, creating a fertile ground for edge AI companies to thrive. As cities become smarter, the need for real-time data processing and decision-making at the edge becomes critical, driving demand for innovative AI solutions that enhance urban living. This convergence of smart city initiatives and edge AI technology presents significant growth opportunities, positioning the market for sustained expansion in the coming years.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Case Studies
• Regulatory Landscape
• Technology Advancement

Global Edge Artificial Intelligence (AI) Market Size by Component & CAGR (2025-2032)

• Market Overview
• Hardware
• Software
• Services

Global Edge Artificial Intelligence (AI) Market Size by Processor Type & CAGR (2025-2032)

• Market Overview
• Central Processing Unit (CPU)
• Graphics Processing Unit (GPU)
• Application-Specific Integrated Circuit (ASIC)
• Field-Programmable Gate Array (FPGA)

Global Edge Artificial Intelligence (AI) Market Size by End-Use Industry & CAGR (2025-2032)

• Market Overview
• Consumer Electronics
• Smart Cities
• Automotive
• Healthcare
• Manufacturing
• Retail
• Energy & Utilities
• Others

Global Edge Artificial Intelligence (AI) Market Size by Application & CAGR (2025-2032)

• Market Overview
• Autonomous Vehicles
• Smart Cameras
• Robotics
• Wearables
• Smart Home Devices
• Industrial IoT
• Others

Global Edge Artificial Intelligence (AI) Market Size & CAGR (2025-2032)

• North America (Component, Processor Type, End-Use Industry, Application)
  • US
  • Canada
• Europe (Component, Processor Type, End-Use Industry, Application)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Processor Type, End-Use Industry, Application)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Processor Type, End-Use Industry, Application)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Processor Type, End-Use Industry, Application)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• NVIDIA (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Apple Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Huawei Technologies (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung Electronics (South Korea)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Baidu (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alibaba (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Sony Corporation (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Advanced Micro Devices (AMD) (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Arm Holdings (United Kingdom)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TIBCO Software (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Veea Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations