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IoT 人工智能邊緣運算

市場調查報告書

商品編碼

2129290

邊緣人工智慧工業自動化系統市場預測至2034年—按產品、組件、部署模式、應用、最終用戶和地區分類的全球分析

Edge AI Industrial Automation Systems Market Forecasts to 2034 - Global Analysis By Product, Component, Deployment, Application, End User and By Geography

出版日期: 2026年09月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球邊緣 AI 工業自動化系統市場預計將在 2026 年達到 89 億美元，並在預測期內以 13.5% 的複合年成長率成長，到 2034 年達到 246 億美元。

邊緣人工智慧工業自動化系統是指將人工智慧演算法和處理能力部署在工業網路邊緣，靠近感測器、攝影機和機械設備等資料來源的解決方案。這些系統無需依賴雲端連線即可實現即時分析、預測性維護、品質檢測和流程最佳化，從而降低延遲和頻寬需求。它們旨在提高營運效率、增強安全性，並支援製造業、能源業和其他工業領域的自主決策。

對即時工業分析的需求日益成長

在毫秒級誤差對品管和安全保障至關重要的工業環境中，對即時數據處理和分析日益成長的需求正在推動邊緣人工智慧解決方案的普及。製造商正擴大採用邊緣運算能力，透過分析來自數千個感測器和機器的源頭數據，實現即時響應。更低的延遲和頻寬成本，以及更高的可靠性，正在加速邊緣人工智慧在工業應用中的普及。

邊緣基礎設施管理的複雜性

對於缺乏專業技能的組織而言，部署和管理分佈在眾多工廠車間和遠端地點的邊緣運算基礎設施是一項重大挑戰。將邊緣人工智慧系統與現有工業網路、傳統設備和雲端平台整合需要精心規劃和執行。邊緣端強大的網路安全措施以及跨分散式系統管理軟體更新的難度進一步加劇了部署的複雜性。

與 5G 和物聯網技術的整合

邊緣人工智慧、5G連接和工業IoT技術的融合為實現對超低延遲和高可靠性要求極高的新型自動化應用場景提供了絕佳機會。 5G與邊緣運算的結合能夠實現對機器人、自動駕駛車輛和協作機械的即時控制。標準化邊緣運算平台的開發和工業IoT設備生態系統的擴展，正為邊緣人工智慧解決方案供應商創造新的發展機會。

邊緣網路安全漏洞

邊緣運算的分散特性帶來了新的安全漏洞。這是因為邊緣設備通常易於物理訪問，且可能缺乏強大的安全功能。對邊緣基礎設施的網路攻擊一旦成功，可能導致業務中斷、資料外洩或安全事件。邊緣設備缺乏標準化的安全協議，以及保護傳統工業設備所面臨的挑戰，持續對市場成長構成威脅。

新型冠狀病毒（COVID-19）的影響：

疫情初期擾亂了邊緣硬體的供應鏈，導致工業自動化專案延長。疫情期間對遠端監控和非接觸式操作的需求激增，加速了邊緣人工智慧解決方案的普及。疫情過後，隨著製造商持續投資於高彈性、分散式自動化基礎設施，市場呈現強勁成長動能。

在預測期內，邊緣人工智慧自動化平台細分市場預計將佔據最大的市場佔有率。

預計在預測期內，邊緣人工智慧自動化平台細分市場將佔據最大的市場佔有率，因為它為在各種工業邊緣環境中部署和管理人工智慧應用提供了全面且整合的解決方案。這些平台具有柔軟性，能夠支援從預測性維護到品質檢測等多種應用場景。平台功能的廣泛適用性和持續創新進一步鞏固了該細分市場在邊緣人工智慧市場的領先地位。

預計在預測期內，維護保養細分市場將呈現最高的複合年成長率。

在預測期內，預測性維護領域預計將呈現最高的成長率。這主要得益於邊緣人工智慧能夠即時分析機器數據，並在可能導致重大損失的故障發生之前檢測異常情況，從而帶來清晰可衡量的投資回報率。基於邊緣的預測性維護減少了對雲端連線的依賴，並實現了更快的反應速度。狀態監測技術的日益普及以及用於監測設備健康狀況的專用人工智慧模型的開發，正在加速這一應用領域的成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其先進自動化技術的高滲透率、對工業創新的高度重視以及美國境內眾多主要技術供應商的存在。此外，該地區擁有充足的技能人才和政府的支持政策，這將進一步鞏固其市場領導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的工業化進程、智慧工廠技術的廣泛應用以及中國、日本和印度等國製造地的擴張。政府推動產業數位轉型和增加自動化投資的措施是市場成長的主要驅動力。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域分類
- 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

NVIDIA Corporation
Intel Corporation
Qualcomm Incorporated
Siemens AG
ABB Ltd.
Schneider Electric SE
Rockwell Automation, Inc.
Honeywell International Inc.
Advantech Co., Ltd.
IBM Corporation
Microsoft Corporation
Amazon.com, Inc.
Emerson Electric Co.
Edge Impulse, Inc.
HPE
Arm Holdings plc
Qualcomm Technologies, Inc.
Kontron AG

簡介目錄圖表

Product Code: SMRC39359

According to Stratistics MRC, the Global Edge AI Industrial Automation Systems Market is accounted for $8.9 billion in 2026 and is expected to reach $24.6 billion by 2034 growing at a CAGR of 13.5% during the forecast period. Edge AI industrial automation systems refer to solutions that deploy artificial intelligence algorithms and processing capabilities at the edge of industrial networks, close to the data sources such as sensors, cameras, and machinery. These systems enable real-time analytics, predictive maintenance, quality inspection, and process optimization without relying on cloud connectivity, reducing latency and bandwidth requirements. They are designed to enhance operational efficiency, improve safety, and enable autonomous decision-making in manufacturing, energy, and other industrial sectors.

Market Dynamics:

Driver:

Growing Need for Real-Time Industrial Analytics

The increasing demand for real-time data processing and analytics in industrial environments, where milliseconds matter for quality control and safety, is driving the adoption of edge AI solutions. The need to analyze data from thousands of sensors and machines at the source to enable immediate action is pushing manufacturers to deploy edge computing capabilities. The reduction in latency, bandwidth costs, and improved reliability are accelerating the adoption of edge AI across industrial applications.

Restraint:

Complexity of Edge Infrastructure Management

The complexity of deploying and managing distributed edge computing infrastructure across numerous factory floors and remote sites can be a significant challenge for organizations lacking specialized skills. The integration of edge AI systems with existing industrial networks, legacy equipment, and cloud platforms requires careful planning and execution. The need for robust cybersecurity measures at the edge and the difficulty of managing software updates across distributed systems further complicate adoption.

Opportunity:

Convergence with 5G and IoT Technologies

The convergence of edge AI with 5G connectivity and industrial IoT technologies presents a significant opportunity to enable new automation use cases requiring ultra-low latency and high reliability. The combination of 5G and edge computing can support real-time control of robots, autonomous vehicles, and collaborative machines. The development of standardized edge computing platforms and the expanding ecosystem of industrial IoT devices are creating new opportunities for edge AI solution providers.

Threat:

Cybersecurity Vulnerabilities at the Edge

The distributed nature of edge computing introduces new security vulnerabilities, as edge devices are often physically accessible and may lack robust security features. A successful cyberattack on edge infrastructure could disrupt operations, compromise sensitive data, or cause safety incidents. The lack of standardized security protocols for edge devices and the challenge of securing legacy industrial equipment pose ongoing threats to market growth.

Covid-19 Impact:

The pandemic initially caused disruptions in supply chains for edge hardware and delayed industrial automation projects. During the mid-pandemic period, the need for remote monitoring and contactless operations accelerated the adoption of edge AI solutions. Post-pandemic, the market has seen strong growth as manufacturers invest in resilient, decentralized automation infrastructure.

The edge AI automation platforms segment is expected to be the largest during the forecast period

The edge AI automation platforms segment is expected to account for the largest market share during the forecast period, due to their ability to provide a comprehensive, integrated solution for deploying and managing AI applications across diverse industrial edge environments. These platforms offer the flexibility to support multiple use cases, from predictive maintenance to quality inspection. The broad applicability and continuous innovation in platform capabilities further reinforce their dominance in the edge AI market.

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

Over the forecast period, the predictive maintenance segment is predicted to witness the highest growth rate, driven by the proven ability of edge AI to analyze machine data in real-time and detect anomalies before they lead to costly failures, delivering a clear and measurable ROI. Edge-based predictive maintenance reduces dependence on cloud connectivity and enables faster response times. The increasing adoption of condition monitoring and the development of specialized AI models for equipment health are in turn accelerating the growth of this application segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the high adoption of advanced automation technologies, strong focus on industrial innovation, and the presence of major technology providers in the United States. The availability of skilled talent and supportive government policies further reinforce the region's market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to the rapid industrialization, growing adoption of smart factory technologies, and expanding manufacturing base in countries like China, Japan, and India. Government initiatives to promote industrial digitization and the increasing investment in automation are key drivers of market growth.

Key players in the market

Some of the key players in Edge AI Industrial Automation Systems Market include NVIDIA Corporation, Intel Corporation, Qualcomm Incorporated, Siemens AG, ABB Ltd., Schneider Electric SE, Rockwell Automation, Inc., Honeywell International Inc., Advantech Co., Ltd., IBM Corporation, Microsoft Corporation, Amazon.com, Inc., Emerson Electric Co., Edge Impulse, Inc., HPE, Arm Holdings plc, Qualcomm Technologies, Inc. and Kontron AG.

Key Developments:

In July 2026, NVIDIA launched an edge AI platform for industrial automation, featuring high-performance processors for real-time inference, enabling faster decision-making, predictive analytics, and intelligent factory-floor automation.

In June 2026, Siemens partnered with a leading cloud provider to deliver integrated edge-to-cloud AI solutions, enabling manufacturers to connect real-time industrial data with scalable analytics and AI applications.

In May 2026, ABB introduced an edge AI controller for industrial robotics, enabling real-time adaptive control, intelligent automation, faster response times, and improved robotic performance across dynamic manufacturing environments.

Products Covered:

Edge AI Automation Platforms
Edge AI Controllers
Industrial Edge Computers
Edge AI Gateways
AI-Enabled PLC Systems
Edge AI Vision Systems

Components Covered:

Edge Computing Hardware
AI Processors
Industrial Sensors
Industrial Gateways
AI Software
Connectivity Systems
Edge AI Services

Deployments Covered:

On-Premises Edge
Cloud-Edge Hybrid
Private Edge
Public Edge

Applications Covered:

Predictive Maintenance
Quality Inspection
Process Optimization
Robotic Automation
Asset Monitoring
Anomaly Detection

End Users Covered:

Automotive
Electronics
Semiconductors
Industrial Manufacturing
Energy and Utilities
Oil and Gas
Aerospace and Defense

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
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

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Edge AI Industrial Automation Systems Market, By Product

5.1 Edge AI Automation Platforms
5.2 Edge AI Controllers
5.3 Industrial Edge Computers
5.4 Edge AI Gateways
5.5 AI-Enabled PLC Systems
5.6 Edge AI Vision Systems

6 Global Edge AI Industrial Automation Systems Market, By Component

6.1 Edge Computing Hardware
6.2 AI Processors
6.3 Industrial Sensors
6.4 Industrial Gateways
6.5 AI Software
6.6 Connectivity Systems
6.7 Edge AI Services

7 Global Edge AI Industrial Automation Systems Market, By Deployment

7.1 On-Premises Edge
7.2 Cloud-Edge Hybrid
7.3 Private Edge
7.4 Public Edge

8 Global Edge AI Industrial Automation Systems Market, By Application

8.1 Predictive Maintenance
8.2 Quality Inspection
8.3 Process Optimization
8.4 Robotic Automation
8.5 Asset Monitoring
8.6 Anomaly Detection

9 Global Edge AI Industrial Automation Systems Market, By End User

9.1 Automotive
9.2 Electronics
9.3 Semiconductors
9.4 Industrial Manufacturing
9.5 Energy and Utilities
9.6 Oil and Gas
9.7 Aerospace and Defense

10 Global Edge AI Industrial Automation Systems Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 NVIDIA Corporation
13.2 Intel Corporation
13.3 Qualcomm Incorporated
13.4 Siemens AG
13.5 ABB Ltd.
13.6 Schneider Electric SE
13.7 Rockwell Automation, Inc.
13.8 Honeywell International Inc.
13.9 Advantech Co., Ltd.
13.10 IBM Corporation
13.11 Microsoft Corporation
13.12 Amazon.com, Inc.
13.13 Emerson Electric Co.
13.14 Edge Impulse, Inc.
13.15 HPE
13.16 Arm Holdings plc
13.17 Qualcomm Technologies, Inc.
13.18 Kontron AG

簡介目錄圖表

List of Tables

Table 1 Global Edge AI Industrial Automation Systems Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Edge AI Industrial Automation Systems Market Outlook, By Product (2023-2034) ($MN)
Table 3 Global Edge AI Industrial Automation Systems Market Outlook, By Edge AI Automation Platforms (2023-2034) ($MN)
Table 4 Global Edge AI Industrial Automation Systems Market Outlook, By Edge AI Controllers (2023-2034) ($MN)
Table 5 Global Edge AI Industrial Automation Systems Market Outlook, By Industrial Edge Computers (2023-2034) ($MN)
Table 6 Global Edge AI Industrial Automation Systems Market Outlook, By Edge AI Gateways (2023-2034) ($MN)
Table 7 Global Edge AI Industrial Automation Systems Market Outlook, By AI-Enabled PLC Systems (2023-2034) ($MN)
Table 8 Global Edge AI Industrial Automation Systems Market Outlook, By Edge AI Vision Systems (2023-2034) ($MN)
Table 9 Global Edge AI Industrial Automation Systems Market Outlook, By Component (2023-2034) ($MN)
Table 10 Global Edge AI Industrial Automation Systems Market Outlook, By Edge Computing Hardware (2023-2034) ($MN)
Table 11 Global Edge AI Industrial Automation Systems Market Outlook, By AI Processors (2023-2034) ($MN)
Table 12 Global Edge AI Industrial Automation Systems Market Outlook, By Industrial Sensors (2023-2034) ($MN)
Table 13 Global Edge AI Industrial Automation Systems Market Outlook, By Industrial Gateways (2023-2034) ($MN)
Table 14 Global Edge AI Industrial Automation Systems Market Outlook, By AI Software (2023-2034) ($MN)
Table 15 Global Edge AI Industrial Automation Systems Market Outlook, By Connectivity Systems (2023-2034) ($MN)
Table 16 Global Edge AI Industrial Automation Systems Market Outlook, By Edge AI Services (2023-2034) ($MN)
Table 17 Global Edge AI Industrial Automation Systems Market Outlook, By Deployment (2023-2034) ($MN)
Table 18 Global Edge AI Industrial Automation Systems Market Outlook, By On-Premises Edge (2023-2034) ($MN)
Table 19 Global Edge AI Industrial Automation Systems Market Outlook, By Cloud-Edge Hybrid (2023-2034) ($MN)
Table 20 Global Edge AI Industrial Automation Systems Market Outlook, By Private Edge (2023-2034) ($MN)
Table 21 Global Edge AI Industrial Automation Systems Market Outlook, By Public Edge (2023-2034) ($MN)
Table 22 Global Edge AI Industrial Automation Systems Market Outlook, By Application (2023-2034) ($MN)
Table 23 Global Edge AI Industrial Automation Systems Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
Table 24 Global Edge AI Industrial Automation Systems Market Outlook, By Quality Inspection (2023-2034) ($MN)
Table 25 Global Edge AI Industrial Automation Systems Market Outlook, By Process Optimization (2023-2034) ($MN)
Table 26 Global Edge AI Industrial Automation Systems Market Outlook, By Robotic Automation (2023-2034) ($MN)
Table 27 Global Edge AI Industrial Automation Systems Market Outlook, By Asset Monitoring (2023-2034) ($MN)
Table 28 Global Edge AI Industrial Automation Systems Market Outlook, By Anomaly Detection (2023-2034) ($MN)
Table 29 Global Edge AI Industrial Automation Systems Market Outlook, By End User (2023-2034) ($MN)
Table 30 Global Edge AI Industrial Automation Systems Market Outlook, By Automotive (2023-2034) ($MN)
Table 31 Global Edge AI Industrial Automation Systems Market Outlook, By Electronics (2023-2034) ($MN)
Table 32 Global Edge AI Industrial Automation Systems Market Outlook, By Semiconductors (2023-2034) ($MN)
Table 33 Global Edge AI Industrial Automation Systems Market Outlook, By Industrial Manufacturing (2023-2034) ($MN)
Table 34 Global Edge AI Industrial Automation Systems Market Outlook, By Energy and Utilities (2023-2034) ($MN)
Table 35 Global Edge AI Industrial Automation Systems Market Outlook, By Oil and Gas (2023-2034) ($MN)
Table 36 Global Edge AI Industrial Automation Systems Market Outlook, By Aerospace and Defense (2023-2034) ($MN)