邊緣人工智慧市場規模、佔有率及成長分析（按組件、處理器類型、最終用途產業、應用和地區）－2025 年至 2032 年產業預測

預計 2023 年全球邊緣人工智慧 (AI) 市場規模將達到 240.5 億美元，從 2024 年的 305.4 億美元成長到 2032 年的 2067 億美元，預測期內（2025-2032 年）的複合年成長率為 27.0%。

隨著雲端解決方案的廣泛採用以及邊緣運算的日益普及，最尖端科技的整合變得越來越普遍，尤其是在邊緣人工智慧（AI）領域。這些進步，加上連網設備的激增，可能會在未來幾年為邊緣人工智慧公司創造巨大的成長機會。 5G網路的引入和對智慧城市計畫的關注可能會進一步提升這些公司的業務潛力。然而，處理能力有限、資料管理障礙和整合複雜性等挑戰可能會阻礙邊緣人工智慧市場到 2031 年的成長軌跡。總體而言，這個不斷發展的領域的相關人員面臨著機會和障礙。

目錄

介紹

• 調查目的
• 研究範圍
• 定義

調查方法

• 資訊採購
• 二次資料和一次資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分機會分析

市場動態與展望

• 市場概覽
• 市場規模
• 市場動態
  • 促進因素和機會
  • 限制與挑戰
• 波特的分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2024年）
• PESTEL分析
• 總體經濟指標
• 價值鏈分析
• 定價分析
• 案例研究
• 監管格局
• 技術進步

全球邊緣人工智慧（AI）市場規模（按組件）

• 市場概覽
• 硬體
• 軟體
• 服務

全球邊緣人工智慧（AI）市場規模（按處理器類型）

• 市場概覽
• 中央處理器（CPU）
• 圖形處理單元 (GPU)
• 專用積體電路（ASIC）
• 現場可程式閘陣列（FPGA）

全球邊緣人工智慧（AI）市場規模（按最終用途產業）

• 市場概覽
• 家電
• 智慧城市
• 車
• 衛生保健
• 製造業
• 零售
• 能源與公共產業
• 其他

全球邊緣人工智慧（AI）市場規模（按應用）

• 市場概覽
• 自動駕駛汽車
• 智慧型相機
• 機器人技術
• 穿戴式裝置
• 智慧家庭設備
• 工業IoT
• 其他

全球邊緣人工智慧（AI）市場規模

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市場佔有率分析（2024年）
• 主要企業簡介
  • 公司詳情
  • 產品系列分析
  • 公司分部佔有率分析
  • 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

• 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）

結論和建議

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