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IoT 人工智能邊緣運算

市場調查報告書

商品編碼

1889217

邊緣人工智慧市場預測至2032年：按組件、處理器類型、應用、最終用戶和地區分類的全球分析

Edge AI Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, and Services), Processor Type, Application, End User and By Geography

出版日期: 2025年12月12日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球邊緣人工智慧市場規模將達到 311.9 億美元，到 2032 年將達到 1925.9 億美元，預測期內複合年成長率為 29.7%。

邊緣人工智慧 (Edge AI) 是一種在網路邊緣設備（例如攝影機、穿戴式裝置、閘道器和工業設備）上運行人工智慧模型的技術，它無需將資料傳送到雲端平台。本地資料處理能夠加快回應速度、增強隱私保護並最大限度地降低網路負載。這項技術能夠為機器人、連線健診醫療、交通運輸和智慧城市等領域提供即時洞察。透過將設備端運算與先進的人工智慧相結合，邊緣人工智慧為分散式應用提供更快的運行速度、更高的安全性和更優異的效能。

對即時處理的需求

為了降低延遲並提高回應速度，各組織機構正擴大將關鍵工作負載遷移到更靠近資料來源的位置。自動駕駛汽車、工業自動化和智慧監控等應用高度依賴即時推理。邊緣人工智慧無需依賴集中式雲端處理即可實現更快的決策。這種能力顯著提升了各行各業的營運效率和使用者體驗。隨著數位化互動變得更加即時，對快速設備端處理的需求也持續成長。

有限的運算能力和電力資源

有限的電池續航時間和過熱閾值進一步限制了高要求場景下的效能。許多公司都在努力最佳化輕量級硬體上的人工智慧工作負載，同時又不犧牲精確度。這些限制增加了模型壓縮的要求，並帶來了額外的工程工作。在遠端和行動環境中，保持穩定的電源供應也增加了複雜性。這些限制仍然是邊緣人工智慧在全球大規模部署的主要挑戰。

人工智慧即服務 (AIaaS) 和模型市場

模型市場為開發者提供邊緣環境最佳化的預建演算法。這些平台縮短了人工智慧驅動的邊緣應用上市時間，從而加速了創新。企業可以輕鬆訂閱根據自身硬體需求量身定做的可擴展推理服務。該生態系統促進了人工智慧提供者、設備製造商和解決方案整合商之間的合作。隨著人工智慧即服務 (AIaaS) 的擴展，預計各行業邊緣人工智慧的採用率將顯著成長。

與最佳化的雲端人工智慧競爭

雲端基礎的AI解決方案不斷發展，擁有更快的運算能力和更先進的模型功能。許多組織仍然青睞雲端AI，因為它具有可擴展性，且對設備端的要求極低。隨著超大規模資料中心業者推出經濟高效的推理引擎，邊緣部署的競爭日益激烈。雲端平台也提供簡化的開發環境，對企業開發人員極具吸引力。雲端AI與邊緣硬體之間日益擴大的效能差距，持續對邊緣AI市場構成競爭威脅。

新冠疫情的影響：

疫情加速了邊緣運算設備在遠端監控和非接觸式操作的應用。醫療保健和零售等行業紛紛轉向設備端智慧，以減少人與人之間的接觸。邊緣人工智慧支援體溫檢測、人員追蹤和即時分析，從而實現自動化物流。供應鏈中斷凸顯了分散式處理和減少對雲端依賴的必要性。各組織紛紛投資邊緣基礎設施，以確保業務永續營運和韌性。

預計在預測期內，硬體細分市場將佔據最大的市場佔有率。

由於對高效能、高效率邊緣處理器的需求不斷成長，預計硬體領域在預測期內將佔據最大的市場佔有率。專用人工智慧晶片、微控制器和加速器正成為設備端推理的關鍵組件。製造商正在提升硬體性能，以支援延遲極低的複雜模型。對邊緣最佳化型GPU和NPU的投資不斷增加，進一步推動了該領域的擴張。硬體創新正在賦能包括汽車、工業和家用電子電器在內的眾多領域的應用。

預計在預測期內，醫療保健產業將實現最高的複合年成長率。

預計在預測期內，醫療保健領域將實現最高成長率，這主要得益於智慧診斷和即時病患監測的日益普及。邊緣人工智慧能夠即時分析醫學影像、生命徵象和穿戴式裝置數據。醫院正擴大整合邊緣解決方案，以改善臨床決策並減少對雲端連接的依賴。設備端處理還能增強敏感醫療環境中的資料隱私和合規性。遠端醫療服務也受益於快速可靠的邊緣分析技術。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其強大的技術生態系統和先進人工智慧解決方案的早期應用。該地區正受益於對邊緣基礎設施和5G部署的大力投資。領先的科技公司正在加速半導體、物聯網設備和人工智慧加速器領域的創新。各行各業的公司都在優先考慮邊緣部署，以增強自動化和營運智慧。政府支持人工智慧研究的措施也進一步鞏固了市場發展動能。

複合年成長率最高的地區：

在預測期內，亞太地區預計將實現最高的複合年成長率，這主要得益於快速的都市化和智慧城市計劃的持續推進。中國、日本和韓國等國家正大力投資邊緣機器人和工業自動化。通訊業者正在廣泛部署5G網路，為邊緣運算拓展了機會。物聯網設備在製造業、運輸業和零售業的日益普及，推動了對設備端人工智慧的需求。政府主導的數位轉型計畫正在加速企業對邊緣技術的投資。

免費客製化服務：

購買此報告的客戶可享有以下免費自訂選項之一：

公司概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 主要參與者（最多3家公司）的SWOT分析
區域細分
- 根據客戶要求，提供主要國家的市場估算和預測，以及複合年成長率（註：可行性需確認）。
競爭基準化分析
- 根據主要參與者的產品系列、地理覆蓋範圍和策略聯盟基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 亞太其他地區
南美洲
- 阿根廷
- 巴西
- 智利
- 其他南美國家
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第10章：重大進展

協議、夥伴關係、合作和合資企業
併購
新產品發布
業務拓展
其他關鍵策略

第11章企業概況

Microsoft
Hewlett Packard Enterprise（HPE）
Google
Schneider Electric
Amazon Web Services（AWS）
Siemens
IBM
Cisco Systems
Intel
Arm
NVIDIA
Apple
Qualcomm
Samsung Electronics
Huawei

簡介目錄圖表

Product Code: SMRC32677

According to Stratistics MRC, the Global Edge AI Market is accounted for $31.19 billion in 2025 and is expected to reach $192.59 billion by 2032 growing at a CAGR of 29.7% during the forecast period. Edge AI involves running artificial intelligence models on devices located at the network's edge, including cameras, wearables, gateways, and industrial equipment, instead of sending data to cloud platforms. Processing data locally accelerates response times, strengthens privacy, and minimizes network load. This technology enables instant insights for areas such as robotics, connected healthcare, transportation, and smart cities. By merging on-device computation with advanced AI, Edge AI delivers quicker operations, better security, and higher performance for decentralized applications.

Market Dynamics:

Driver:

Demand for real-time processing

Organizations are increasingly shifting critical workloads closer to the data source to reduce latency and improve responsiveness. Applications such as autonomous vehicles, industrial automation, and intelligent surveillance rely heavily on real-time inference. Edge AI enables faster decision-making without depending on centralized cloud processing. This capability significantly enhances operational efficiency and user experience across diverse industries. As digital interactions become more immediate, demand for rapid on-device processing continues to intensify.

Restraint:

Limited compute & power resources

Limited battery life and thermal thresholds further hinder performance in demanding scenarios. Many enterprises struggle to optimize AI workloads for lightweight hardware without compromising accuracy. These limitations lead to higher model compression requirements and additional engineering efforts. In remote or mobile environments, sustaining consistent power supply adds another layer of complexity. Such constraints remain a significant challenge to scaling Edge AI deployments globally.

Opportunity:

AI-as-a-Service (AIaaS) and model marketplaces

Model marketplaces allow developers to access pre-built algorithms optimized for edge environments. These platforms accelerate innovation by reducing time-to-market for AI-driven edge applications. Businesses can easily subscribe to scalable inference services tailored to their hardware needs. This ecosystem fosters collaboration among AI providers, device manufacturers, and solution integrators. As AIaaS expands, it is expected to unlock substantial growth for Edge AI adoption across industries.

Threat:

Competition from optimized cloud AI

Cloud-based AI solutions continue to evolve with faster compute power and more sophisticated model capabilities. Many organizations still prefer cloud AI due to its scalability and minimal device-side requirements. As hyperscalers introduce cost-efficient inference engines, competition for edge deployments intensifies. Cloud platforms also offer simplified development environments that appeal to enterprise developers. The growing performance gap between cloud AI and edge hardware remains a competitive threat for the Edge AI market.

Covid-19 Impact:

The pandemic accelerated the use of edge-powered devices for remote monitoring and contactless operations. Industries such as healthcare and retail turned to on-device intelligence to reduce human interaction. Edge AI supported real-time analytics for temperature checks, occupancy tracking, and automated logistics. Supply chain disruptions highlighted the need for decentralized processing and reduced cloud dependency. Organizations invested in edge infrastructure to ensure business continuity and resilience.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period, as demand grows for powerful and efficient edge processors. Dedicated AI chips, microcontrollers, and accelerators are becoming essential for on-device inference. Manufacturers are enhancing hardware capabilities to support complex models with minimal latency. Increased investments in edge-optimized GPUs and NPUs are further driving this segment's expansion. Hardware innovations are enabling broader applications across automotive, industrial, and consumer electronics.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, due to rising adoption of intelligent diagnostics and real-time patient monitoring. Edge AI enables immediate analysis of medical images, vital signs, and wearable device data. Hospitals are integrating edge solutions to improve clinical decision-making and reduce dependence on cloud connectivity. On-device processing also enhances data privacy and regulatory compliance in sensitive healthcare environments. Remote healthcare services are benefiting from fast and reliable edge-based analytics.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to its strong technological ecosystem and early adoption of advanced AI solutions. The region benefits from robust investments in edge infrastructure and 5G deployment. Major technology players are accelerating innovation in semiconductors, IoT devices, and AI accelerators. Enterprises across industries prioritize edge deployment to enhance automation and operational intelligence. Government initiatives supporting AI research further strengthen market momentum.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urbanization and the expansion of smart city initiatives. Countries such as China, Japan, and South Korea are heavily investing in edge-enabled robotics and industrial automation. Telecom operators are deploying extensive 5G networks that amplify edge computing opportunities. Growing adoption of IoT devices across manufacturing, transportation, and retail is boosting demand for on-device AI. Government-backed digital transformation programs are accelerating enterprise investments in edge technologies.

Key players in the market

Some of the key players in Edge AI Market include Microsoft, Hewlett Packard, Google, Schneider, Amazon Web, Siemens, IBM, Cisco Systems, Intel, Arm, NVIDIA, Apple, Qualcomm, Samsung Electronics, and Huawei.

Key Developments:

In November 2025, IBM and the University of Dayton announced an agreement for the joint research and development of next-generation semiconductor technologies and materials. The collaboration aims to advance critical technologies for the age of AI including AI hardware, advanced packaging, and photonics.

In October 2025, Oracle announced collaboration with Microsoft to develop an integration blueprint to help manufacturers improve supply chain efficiency and responsiveness. The blueprint will enable organizations using Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to improve data-driven decision making and automate key supply chain processes by capturing live insights from factory equipment and sensors through Azure IoT Operations and Microsoft Fabric.

Components Covered:

Hardware
Software
Services

Processor Types Covered:

CPU
GPU
FPGA
ASIC

Applications Covered:

Smart Cities
Automotive
Consumer Electronics
Industrial IoT
Healthcare
Retail

End Users Covered:

Telecom
Energy And Utilities
Manufacturing
Defense And Aerospace
Transportation And Logistics
Other End Users

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Edge AI Market, By Component

5.1 Introduction
5.2 Hardware
- 5.2.1 Edge Servers
- 5.2.2 Gateways
- 5.2.3 Sensors
- 5.2.4 AI Chips
5.3 Software
- 5.3.1 AI Frameworks
- 5.3.2 SDKs
- 5.3.3 Middleware
- 5.3.4 Edge Orchestration Platforms
5.4 Services
- 5.4.1 Deployment
- 5.4.2 Integration
- 5.4.3 Consulting
- 5.4.4 Managed Services

6 Global Edge AI Market, By Processor Type

6.1 Introduction
6.2 CPU
6.3 GPU
6.4 FPGA
6.5 ASIC

7 Global Edge AI Market, By Application

7.1 Introduction
7.2 Smart Cities
- 7.2.1 Traffic Management
- 7.2.2 Surveillance
- 7.2.3 Public Safety
7.3 Automotive
- 7.3.1 ADAS
- 7.3.2 Autonomous Driving
- 7.3.3 In-Vehicle Infotainment
7.4 Consumer Electronics
- 7.4.1 Smartphones
- 7.4.2 Wearables
- 7.4.3 AR/VR Devices
7.5 Industrial IoT
- 7.5.1 Predictive Maintenance
- 7.5.2 Robotics
- 7.5.3 Process Automation
7.6 Healthcare
- 7.6.1 Remote Monitoring
- 7.6.2 Diagnostics
- 7.6.3 Medical Imaging
7.7 Retail

8 Global Edge AI Market, By End User

8.1 Introduction
8.2 Telecom
8.3 Energy And Utilities
8.4 Manufacturing
8.5 Defense And Aerospace
8.6 Transportation And Logistics
8.7 Other End Users

9 Global Edge AI Market, By Geography

9.1 Introduction
9.2 North America
- 9.2.1 US
- 9.2.2 Canada
- 9.2.3 Mexico
9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 Italy
- 9.3.4 France
- 9.3.5 Spain
- 9.3.6 Rest of Europe
9.4 Asia Pacific
- 9.4.1 Japan
- 9.4.2 China
- 9.4.3 India
- 9.4.4 Australia
- 9.4.5 New Zealand
- 9.4.6 South Korea
- 9.4.7 Rest of Asia Pacific
9.5 South America
- 9.5.1 Argentina
- 9.5.2 Brazil
- 9.5.3 Chile
- 9.5.4 Rest of South America
9.6 Middle East & Africa
- 9.6.1 Saudi Arabia
- 9.6.2 UAE
- 9.6.3 Qatar
- 9.6.4 South Africa
- 9.6.5 Rest of Middle East & Africa

10 Key Developments

10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies

11 Company Profiling

11.1 Microsoft
11.2 Hewlett Packard Enterprise (HPE)
11.3 Google
11.4 Schneider Electric
11.5 Amazon Web Services (AWS)
11.6 Siemens
11.7 IBM
11.8 Cisco Systems
11.9 Intel
11.10 Arm
11.11 NVIDIA
11.12 Apple
11.13 Qualcomm
11.14 Samsung Electronics
11.15 Huawei

簡介目錄圖表

List of Tables

Table 1 Global Edge AI Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Edge AI Market Outlook, By Component (2024-2032) ($MN)
Table 3 Global Edge AI Market Outlook, By Hardware (2024-2032) ($MN)
Table 4 Global Edge AI Market Outlook, By Edge Servers (2024-2032) ($MN)
Table 5 Global Edge AI Market Outlook, By Gateways (2024-2032) ($MN)
Table 6 Global Edge AI Market Outlook, By Sensors (2024-2032) ($MN)
Table 7 Global Edge AI Market Outlook, By AI Chips (2024-2032) ($MN)
Table 8 Global Edge AI Market Outlook, By Software (2024-2032) ($MN)
Table 9 Global Edge AI Market Outlook, By AI Frameworks (2024-2032) ($MN)
Table 10 Global Edge AI Market Outlook, By SDKs (2024-2032) ($MN)
Table 11 Global Edge AI Market Outlook, By Middleware (2024-2032) ($MN)
Table 12 Global Edge AI Market Outlook, By Edge Orchestration Platforms (2024-2032) ($MN)
Table 13 Global Edge AI Market Outlook, By Services (2024-2032) ($MN)
Table 14 Global Edge AI Market Outlook, By Deployment (2024-2032) ($MN)
Table 15 Global Edge AI Market Outlook, By Integration (2024-2032) ($MN)
Table 16 Global Edge AI Market Outlook, By Consulting (2024-2032) ($MN)
Table 17 Global Edge AI Market Outlook, By Managed Services (2024-2032) ($MN)
Table 18 Global Edge AI Market Outlook, By Processor Type (2024-2032) ($MN)
Table 19 Global Edge AI Market Outlook, By CPU (2024-2032) ($MN)
Table 20 Global Edge AI Market Outlook, By GPU (2024-2032) ($MN)
Table 21 Global Edge AI Market Outlook, By FPGA (2024-2032) ($MN)
Table 22 Global Edge AI Market Outlook, By ASIC (2024-2032) ($MN)
Table 23 Global Edge AI Market Outlook, By Application (2024-2032) ($MN)
Table 24 Global Edge AI Market Outlook, By Smart Cities (2024-2032) ($MN)
Table 25 Global Edge AI Market Outlook, By Traffic Management (2024-2032) ($MN)
Table 26 Global Edge AI Market Outlook, By Surveillance (2024-2032) ($MN)
Table 27 Global Edge AI Market Outlook, By Public Safety (2024-2032) ($MN)
Table 28 Global Edge AI Market Outlook, By Automotive (2024-2032) ($MN)
Table 29 Global Edge AI Market Outlook, By ADAS (2024-2032) ($MN)
Table 30 Global Edge AI Market Outlook, By Autonomous Driving (2024-2032) ($MN)
Table 31 Global Edge AI Market Outlook, By In-Vehicle Infotainment (2024-2032) ($MN)
Table 32 Global Edge AI Market Outlook, By Consumer Electronics (2024-2032) ($MN)
Table 33 Global Edge AI Market Outlook, By Smartphones (2024-2032) ($MN)
Table 34 Global Edge AI Market Outlook, By Wearables (2024-2032) ($MN)
Table 35 Global Edge AI Market Outlook, By AR/VR Devices (2024-2032) ($MN)
Table 36 Global Edge AI Market Outlook, By Industrial IoT (2024-2032) ($MN)
Table 37 Global Edge AI Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
Table 38 Global Edge AI Market Outlook, By Robotics (2024-2032) ($MN)
Table 39 Global Edge AI Market Outlook, By Process Automation (2024-2032) ($MN)
Table 40 Global Edge AI Market Outlook, By Healthcare (2024-2032) ($MN)
Table 41 Global Edge AI Market Outlook, By Remote Monitoring (2024-2032) ($MN)
Table 42 Global Edge AI Market Outlook, By Diagnostics (2024-2032) ($MN)
Table 43 Global Edge AI Market Outlook, By Medical Imaging (2024-2032) ($MN)
Table 44 Global Edge AI Market Outlook, By Retail (2024-2032) ($MN)
Table 45 Global Edge AI Market Outlook, By End User (2024-2032) ($MN)
Table 46 Global Edge AI Market Outlook, By Telecom (2024-2032) ($MN)
Table 47 Global Edge AI Market Outlook, By Energy And Utilities (2024-2032) ($MN)
Table 48 Global Edge AI Market Outlook, By Manufacturing (2024-2032) ($MN)
Table 49 Global Edge AI Market Outlook, By Defense And Aerospace (2024-2032) ($MN)
Table 50 Global Edge AI Market Outlook, By Transportation And Logistics (2024-2032) ($MN)
Table 51 Global Edge AI Market Outlook, By Other End Users (2024-2032) ($MN)