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1945998

全球能源基礎設施自動化市場：預測（至2034年）－按自動化類型、組件、技術、應用、最終用戶和地區進行分析

Energy Infrastructure Automation Market Forecasts to 2034 - Global Analysis By Automation Type, Component, Technology, Application, End User and By Geography

出版日期: 2026年02月01日 | 出版商:

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

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簡介目錄圖表

根據 Stratistics MRC 的研究，預計到 2026 年，全球能源基礎設施自動化市場規模將達到 497 億美元，並在預測期內以 4.0% 的複合年成長率成長，到 2034 年將達到 684 億美元。

能源基礎設施自動化是指實施智慧控制系統，以盡可能減少人為干預來管理發電、輸電和配電。它利用感測器、物聯網設備和人工智慧驅動的平台，實現對電網性能的監控、異常檢測和能量流的最佳化。自動化透過平衡波動的供需，降低營運成本，提高可靠性，並促進可再生能源的併網。電力公司正在部署這些系統，以改造老舊的基礎設施，增強應對停電的韌性，並提高日益複雜的能源網路中的供電效率。

電網效率的需求不斷成長

電網效率日益成長的需求是能源基礎設施自動化市場的主要驅動力。電力公司致力於最佳化其發電、輸電和配電運營，而自動化解決方案能夠實現即時監控、快速故障定位以及改善整個網路的負載平衡。這些功能可以減少技術損耗並提高資產利用率。隨著電力需求的成長和可再生能源併網，電力公司越來越依賴自動化基礎設施來維護其複雜能源系統的可靠性、營運透明度和成本效益。

複雜的監理合規環境

複雜的監管環境是能源基礎設施自動化市場發展的限制因素，導致實施時間和成本增加。能源基礎設施計劃必須符合不同地區在安全、資料保護和電網互通性的標準。頻繁的監管更新要求系統不斷進行修改和文件編制。這種複雜性減緩了決策速度，並阻礙了小規模電力公司進行大規模自動化投資，儘管市場對提高效率的需求強勁，但短期內可能會限制市場成長。

人工智慧驅動自動化的整合

隨著公用事業營運商採用先進的分析和機器學習技術，人工智慧驅動的自動化整合為能源基礎設施自動化市場帶來了巨大的機會。人工智慧能夠實現預測性維護、自適應控制和需求預測，進而提升營運智慧。這些功能有助於公用事業業者主動管理資產並最大限度地減少停機時間。隨著數位轉型加速，人工智慧驅動的平台能夠透過實現能源基礎設施的自主決策和可擴展自動化，提高投資回報率，並支援長期效率和韌性目標的實現。

營運網路安全漏洞

隨著數位化連接的日益普及，營運網路安全漏洞對能源基礎設施自動化市場構成重大威脅。自動化系統依賴連網設備和集中式控制平台，這擴大了潛在的攻擊面。網路安全事件可能導致電力供應中斷、敏感資料外洩以及電網不穩定。應對這些風險需要持續投資於網路安全框架和專業人才。未能有效緩解漏洞可能導致部署延遲，並加劇電力公司和監管機構的擔憂。

新冠疫情的影響：

新冠疫情初期，計劃延期和現場作業限制對能源基礎設施自動化市場造成了衝擊。然而，疫情也凸顯了遠端監控和自動化營運的重要性。電力公司加快了數位轉型，以確保在人員有限的情況下業務的持續運作。疫情後的復甦階段，自動化投資恢復，旨在增強營運韌性並減少對人工流程的依賴。這項轉變強化了全球電網對能源基礎設施自動化解決方案的長期需求。

預計在預測期內，變電站自動化系統細分市場將佔據最大的市場佔有率。

由於變電站自動化系統在整個輸配電網路中的廣泛部署，預計在預測期內，該細分市場將佔據最大的市場佔有率。這些系統能夠實現集中控制、保護協調和即時數據採集，從而提高輸電網的可靠性。電力營運商正優先考慮老舊基礎設施的現代化改造，並支援可再生能源的併網，這推動了變電站自動化的發展。運作效率的提升和停電次數的減少等顯著優勢正在推動系統的應用，並為整體市場收入做出重大貢獻。

預計在預測期內，控制系統領域將呈現最高的複合年成長率。

在預測期內，受能源網路日益複雜化的推動，控制系統領域預計將呈現最高的成長率。先進的控制系統支援動態負載管理、自動切換以及分散式能源的整合。隨著電網日益分散化，對智慧控制平台的需求也不斷成長。數位控制架構和分析主導決策的持續創新正在加速其應用，使該領域成為市場中成長最快的領域。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這主要得益於電網的快速擴張和現代化舉措。不斷成長的電力需求、都市化以及可再生能源的普及應用正在推動自動化投資。中國和印度等國家正在對其輸配電基礎設施進行大規模升級。政府的大力支持和基礎設施支出正在鞏固該地區的市場主導地位。

複合年成長率最高的地區：

在預測期內，隨著能源基礎設施數位轉型加速，北美地區預計將呈現最高的複合年成長率。電力營運商正加大對自動化技術的投資，以應對電網老化、提高容錯能力並緩解氣候變遷帶來的干擾。對智慧電網技術的政策支持以及網路安全支出的增加將進一步推動成長。這些因素使北美成為能源基礎設施自動化解決方案成長最快的區域市場。

免費客製化服務：

訂閱本報告的用戶可享有以下免費自訂選項之一：

公司簡介
- 對其他公司（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域分類
- 根據客戶興趣量身定做的主要國家/地區的市場估算、預測和複合年成長率（註：基於可行性檢查）
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主要企業進行基準分析。

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
- 其他亞太地區
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 南美洲其他地區
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

產業加值網路與供應鏈評估
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

企業合併（M&A）
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

Schneider Electric
Siemens
ABB
Honeywell
Rockwell Automation
Emerson
General Electric
Mitsubishi Electric
Hitachi Energy
Cisco Systems
IBM
Microsoft
AVEVA
OSISoft (AVEVA Group)
Siemens Energy
Cognizant
Tata Consultancy Services

簡介目錄圖表

Product Code: SMRC33783

According to Stratistics MRC, the Global Energy Infrastructure Automation Market is accounted for $49.7 billion in 2026 and is expected to reach $68.4 billion by 2034 growing at a CAGR of 4.0% during the forecast period. Energy Infrastructure Automation involves deploying intelligent control systems to manage power generation, transmission, and distribution with minimal human intervention. It uses sensors, IoT devices, and AI-driven platforms to monitor grid performance, detect anomalies, and optimize energy flows. Automation reduces operational costs, improves reliability, and supports renewable integration by balancing variable supply and demand. Utilities employ these systems to modernize legacy infrastructure, enhance resilience against outages, and ensure efficient delivery of electricity in increasingly complex energy networks.

Market Dynamics:

Driver:

Rising demand for grid efficiency

Rising demand for grid efficiency is a major driver for the Energy Infrastructure Automation Market as utilities seek to optimize power generation, transmission, and distribution operations. Automation solutions enable real-time monitoring, faster fault isolation, and improved load balancing across networks. These capabilities reduce technical losses and enhance asset utilization. As electricity demand grows alongside renewable integration, utilities increasingly rely on automated infrastructure to maintain reliability, operational transparency, and cost efficiency across complex energy systems.

Restraint:

Complex regulatory compliance landscape

The complex regulatory compliance landscape acts as a restraint for the Energy Infrastructure Automation Market by increasing implementation time and cost. Energy infrastructure projects must adhere to varying regional standards related to safety, data protection, and grid interoperability. Frequent regulatory updates require continuous system modifications and documentation. This complexity can slow decision-making and deter smaller utilities from large-scale automation investments, limiting short-term market growth despite strong efficiency-driven demand fundamentals.

Opportunity:

Integration of AI-driven automation

Integration of AI-driven automation presents a significant opportunity within the Energy Infrastructure Automation Market as utilities adopt advanced analytics and machine learning. AI enables predictive maintenance, adaptive control, and demand forecasting, improving operational intelligence. These capabilities help utilities proactively manage assets and minimize outages. As digital transformation accelerates, AI-driven platforms enhance return on investment by enabling autonomous decision-making and scalable automation across energy infrastructure, supporting long-term efficiency and resilience objectives.

Threat:

Operational cybersecurity vulnerabilities

Operational cybersecurity vulnerabilities pose a critical threat to the Energy Infrastructure Automation Market due to increased digital connectivity. Automated systems rely on networked devices and centralized control platforms, expanding potential attack surfaces. Cyber incidents can disrupt power supply, compromise sensitive data, and undermine grid stability. Addressing these risks requires continuous investment in cybersecurity frameworks and skilled personnel. Failure to mitigate vulnerabilities may slow adoption and raise concerns among utilities and regulators.

Covid-19 Impact:

The COVID-19 pandemic initially disrupted the Energy Infrastructure Automation Market through project delays and restricted on-site activities. However, it also highlighted the importance of remote monitoring and automated operations. Utilities accelerated digital adoption to ensure continuity with limited workforce availability. Post-pandemic recovery saw renewed investments in automation to enhance operational resilience and reduce manual dependency. This shift strengthened long-term demand for energy infrastructure automation solutions across global power networks.

The substation automation systems segment is expected to be the largest during the forecast period

The substation automation systems segment is expected to account for the largest market share during the forecast period, due to widespread deployment across transmission and distribution networks. These systems enable centralized control, protection coordination, and real-time data acquisition, improving grid reliability. Utilities prioritize substation automation to modernize aging infrastructure and support renewable integration. Their proven impact on operational efficiency and outage reduction results in strong adoption, contributing significantly to overall market revenues.

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

Over the forecast period, the control systems segment is predicted to witness the highest growth rate, propelled by increasing complexity of energy networks. Advanced control systems support dynamic load management, automated switching, and integration of distributed energy resources. As grids become more decentralized, demand for intelligent control platforms rises. Continuous innovation in digital control architectures and analytics-driven decision-making accelerates adoption, positioning this segment as the fastest-growing within the market.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid grid expansion and modernization initiatives. Rising electricity demand, urbanization, and renewable deployment drive automation investments. Countries such as China and India are upgrading transmission and distribution infrastructure at scale. Strong government support and infrastructure spending reinforce the region's dominant market position.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with accelerated digital transformation of energy infrastructure. Utilities are investing in automation to address aging grids, improve resilience, and mitigate climate-related disruptions. Policy support for smart grid technologies and increasing cybersecurity spending further stimulate growth. These factors position North America as the fastest-expanding regional market for energy infrastructure automation solutions.

Key players in the market

Some of the key players in Energy Infrastructure Automation Market include Schneider Electric, Siemens, ABB, Honeywell, Rockwell Automation, Emerson, General Electric, Mitsubishi Electric, Hitachi Energy, Cisco Systems, IBM, Microsoft, AVEVA, OSISoft (AVEVA Group), Siemens Energy, Cognizant and Tata Consultancy Services.

Key Developments:

In January 2026, Schneider Electric expanded its energy infrastructure automation portfolio with AI-enabled grid management and industrial automation solutions, enhancing real-time monitoring, asset optimization, and operational efficiency across utility-scale energy infrastructure.

In December 2025, Siemens introduced an advanced automation and digitalization suite integrating edge intelligence and cybersecurity, enabling predictive maintenance, improved grid resilience, and seamless integration of renewable energy assets.

In September 2025, Hitachi Energy enhanced its energy automation systems with advanced control, protection, and monitoring technologies, supporting grid modernization initiatives and accelerating large-scale renewable energy integration.

Automation Types Covered:

Process Automation Systems
Substation Automation Systems
Grid Automation Platforms
Asset Automation Solutions
Remote Monitoring Systems

Components Covered:

Control Systems
Sensors & Actuators
Communication Networks
Software Platforms
Edge Computing Devices

Technologies Covered:

AI-Based Automation
Industrial IoT Platforms
Digital Twin Systems
Cloud-Based Automation
Cybersecure Automation Frameworks

Applications Covered:

Power Generation Facilities
Transmission Networks
Distribution Networks
Renewable Energy Plants
Energy Storage Systems

End Users Covered:

Utility Companies
Independent Power Producers
Grid Operators
Industrial Energy Consumers
Government Energy Authorities

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, 3032 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 Energy Infrastructure Automation Market, By Automation Type

5.1 Process Automation Systems
5.2 Substation Automation Systems
5.3 Grid Automation Platforms
5.4 Asset Automation Solutions
5.5 Remote Monitoring Systems

6 Global Energy Infrastructure Automation Market, By Component

6.1 Control Systems
6.2 Sensors & Actuators
6.3 Communication Networks
6.4 Software Platforms
6.5 Edge Computing Devices

7 Global Energy Infrastructure Automation Market, By Technology

7.1 AI-Based Automation
7.2 Industrial IoT Platforms
7.3 Digital Twin Systems
7.4 Cloud-Based Automation
7.5 Cybersecure Automation Frameworks

8 Global Energy Infrastructure Automation Market, By Application

8.1 Power Generation Facilities
8.2 Transmission Networks
8.3 Distribution Networks
8.4 Renewable Energy Plants
8.5 Energy Storage Systems

9 Global Energy Infrastructure Automation Market, By End User

9.1 Utility Companies
9.2 Independent Power Producers
9.3 Grid Operators
9.4 Industrial Energy Consumers
9.5 Government Energy Authorities

10 Global Energy Infrastructure Automation 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 Schneider Electric
13.2 Siemens
13.3 ABB
13.4 Honeywell
13.5 Rockwell Automation
13.6 Emerson
13.7 General Electric
13.8 Mitsubishi Electric
13.9 Hitachi Energy
13.10 Cisco Systems
13.11 IBM
13.12 Microsoft
13.13 AVEVA
13.14 OSISoft (AVEVA Group)
13.15 Siemens Energy
13.16 Cognizant
13.17 Tata Consultancy Services

簡介目錄圖表

List of Tables

Table 1 Global Energy Infrastructure Automation Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Energy Infrastructure Automation Market Outlook, By Automation Type (2023-2034) ($MN)
Table 3 Global Energy Infrastructure Automation Market Outlook, By Process Automation Systems (2023-2034) ($MN)
Table 4 Global Energy Infrastructure Automation Market Outlook, By Substation Automation Systems (2023-2034) ($MN)
Table 5 Global Energy Infrastructure Automation Market Outlook, By Grid Automation Platforms (2023-2034) ($MN)
Table 6 Global Energy Infrastructure Automation Market Outlook, By Asset Automation Solutions (2023-2034) ($MN)
Table 7 Global Energy Infrastructure Automation Market Outlook, By Remote Monitoring Systems (2023-2034) ($MN)
Table 8 Global Energy Infrastructure Automation Market Outlook, By Component (2023-2034) ($MN)
Table 9 Global Energy Infrastructure Automation Market Outlook, By Control Systems (2023-2034) ($MN)
Table 10 Global Energy Infrastructure Automation Market Outlook, By Sensors & Actuators (2023-2034) ($MN)
Table 11 Global Energy Infrastructure Automation Market Outlook, By Communication Networks (2023-2034) ($MN)
Table 12 Global Energy Infrastructure Automation Market Outlook, By Software Platforms (2023-2034) ($MN)
Table 13 Global Energy Infrastructure Automation Market Outlook, By Edge Computing Devices (2023-2034) ($MN)
Table 14 Global Energy Infrastructure Automation Market Outlook, By Technology (2023-2034) ($MN)
Table 15 Global Energy Infrastructure Automation Market Outlook, By AI-Based Automation (2023-2034) ($MN)
Table 16 Global Energy Infrastructure Automation Market Outlook, By Industrial IoT Platforms (2023-2034) ($MN)
Table 17 Global Energy Infrastructure Automation Market Outlook, By Digital Twin Systems (2023-2034) ($MN)
Table 18 Global Energy Infrastructure Automation Market Outlook, By Cloud-Based Automation (2023-2034) ($MN)
Table 19 Global Energy Infrastructure Automation Market Outlook, By Cybersecure Automation Frameworks (2023-2034) ($MN)
Table 20 Global Energy Infrastructure Automation Market Outlook, By Application (2023-2034) ($MN)
Table 21 Global Energy Infrastructure Automation Market Outlook, By Power Generation Facilities (2023-2034) ($MN)
Table 22 Global Energy Infrastructure Automation Market Outlook, By Transmission Networks (2023-2034) ($MN)
Table 23 Global Energy Infrastructure Automation Market Outlook, By Distribution Networks (2023-2034) ($MN)
Table 24 Global Energy Infrastructure Automation Market Outlook, By Renewable Energy Plants (2023-2034) ($MN)
Table 25 Global Energy Infrastructure Automation Market Outlook, By Energy Storage Systems (2023-2034) ($MN)
Table 26 Global Energy Infrastructure Automation Market Outlook, By End User (2023-2034) ($MN)
Table 27 Global Energy Infrastructure Automation Market Outlook, By Utility Companies (2023-2034) ($MN)
Table 28 Global Energy Infrastructure Automation Market Outlook, By Independent Power Producers (2023-2034) ($MN)
Table 29 Global Energy Infrastructure Automation Market Outlook, By Grid Operators (2023-2034) ($MN)
Table 30 Global Energy Infrastructure Automation Market Outlook, By Industrial Energy Consumers (2023-2034) ($MN)
Table 31 Global Energy Infrastructure Automation Market Outlook, By Government Energy Authorities (2023-2034) ($MN)