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市場調查報告書
商品編碼
1916634
能源管理自動化市場預測至2032年:按組件、類型、部署類型、應用、最終用戶和地區分類的全球分析Energy Management Automation Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, and Services), Type, Deployment Mode, Application, End User and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球能源管理自動化市場規模將達到 424.8 億美元,到 2032 年將達到 647.2 億美元,預測期內複合年成長率為 6.2%。
自動化能源管理是指採用先進的數位技術,自動監控和最佳化建築及工業設施的能源生產、供應和消耗過程。它整合了智慧電錶、感測器、控制系統和分析工具,能夠即時展現能源績效並進行自動調整。這種方法可以最大限度地減少能源浪費,降低營運成本,提高系統效能,並確保在各種應用中高效可靠地使用能源,從而有助於實現環境目標。
脫碳和淨零排放目標
世界各國政府正在收緊工業、商業和住宅領域的排放法規。各組織正在加速採用自動化能源監控系統,以減少碳足跡並加強合規性。整合即時分析功能可以精確追蹤能源消耗和排放績效。公共產業和大型企業正在利用自動化技術整合可再生能源並最佳化負載平衡。來自投資者和相關人員的壓力不斷增加,要求企業證明其永續性績效,這正在推動自動化技術的普及。隨著氣候政策的日益嚴格,能源自動化對於業務永續營運至關重要。
互通性和市場碎片化
多樣化的通訊協定、舊有系統和廠商特定的平台限制了系統的無縫整合。許多設施運行混合基礎設施環境,這使得資料整合和集中控制變得複雜。缺乏通用標準增加了實施的複雜性和部署成本。碎片化限制了擴充性,尤其是在多站點能源管理舉措中。小規模供應商難以跟上不斷發展的互通性框架,從而減緩了創新。這些限制會降低投資報酬率,並延緩數位化能源轉型進程。
能源即服務(EaaS)
能源即服務 (EaaS) 提供先進的能源最佳化解決方案,無需高額的前期投資。這種基於服務的模式將自動化軟體、分析和效能保證整合到訂閱協議中。對於尋求可預測能源成本的商業建築和工業用戶而言,這種方式尤其具有吸引力。自動化平台支援在 EaaS 框架內進行持續監控、需量反應和效率提升。公共產業和技術供應商正日益加強合作,以擴展能源管理服務。隨著企業對柔軟性的日益重視,預計 EaaS 的採用率將穩定成長。
熟練人員短缺
部署和維護先進的自動化系統需要能源工程、數據分析和數位技術的專業知識。科技的快速發展正在擴大系統複雜性與人才儲備之間的差距。企業在招募能夠管理人工智慧和物聯網平台的專家方面面臨挑戰。培訓現有員工成本高且學習曲線漫長。專業人才獲取管道有限的中小型企業尤其脆弱。
新冠疫情對能源管理自動化領域產生了重大影響。封鎖措施和工業活動減少最初導致多個行業的能源需求下降。供應鏈中斷延緩了自動化硬體的部署和計劃執行。然而,這場危機加速了數位轉型和遠端能源監控的普及。由於現場人力有限,各組織更依賴自動化系統來管理能源資產。雲端平台憑藉其遠端存取和擴充性迅速發展。疫情後的戰略重點在於提升能源系統的韌性、自動化程度和即時能源智慧。
預計在預測期內,軟體領域將佔據最大的市場佔有率。
由於市場對數據驅動型能源最佳化和集中式管理平台的需求不斷成長,預計在預測期內,軟體領域將佔據最大的市場佔有率。軟體解決方案能夠實現即時監控、預測分析和自動化決策。高級儀錶板提供可操作的洞察,幫助降低能源成本並提高效率。與物聯網設備和智慧電錶的整合增強了系統智慧。由於軟體部署具有擴充性和低維護成本等優點,因此各組織更傾向於採用以軟體為中心的部署方案。
預計在預測期內,智慧家庭領域將呈現最高的複合年成長率。
預計在預測期內,智慧家庭領域將實現最高成長率。消費者對能源效率和永續性的意識提升是推動該領域發展的主要動力。自動化家庭能源系統能夠最佳化照明、暖通空調和家用電器的使用。與智慧電網的整合能夠帶來需量反應和動態定價的優勢。感測器和連網設備成本的下降正在加速市場滲透。政府對節能住宅的激勵措施也為該領域的進一步成長提供了支持。
預計亞太地區將在預測期內佔據最大的市場佔有率。快速的工業化和都市化正在推動全部區域能源消耗的激增。中國、印度和日本等國家正大力投資智慧基礎設施和電網現代化。政府主導的永續性舉措正在推動能源效率的提升。可再生能源系統的大規模應用需要先進的自動化解決方案。製造業和商業領域正在採用自動化能源控制系統來管理營運成本。
預計北美地區在預測期內將實現最高的複合年成長率。強而有力的監管支持,尤其是對能源效率和排放的支持,正在推動相關技術的普及應用。該地區在智慧電網和高級計量基礎設施的部署方面處於主導地位。人工智慧、雲端運算和物聯網技術的廣泛應用,也為自動化發展提供了強大支撐。商業建築和資料中心是先進能源管理平台的主要部署場所。公共產業公司正在投資數位化能源最佳化解決方案。
According to Stratistics MRC, the Global Energy Management Automation Market is accounted for $42.48 billion in 2025 and is expected to reach $64.72 billion by 2032 growing at a CAGR of 6.2% during the forecast period. Energy Management Automation involves deploying advanced digital technologies to automatically oversee and optimize how energy is produced, delivered, and consumed in buildings and industrial operations. It combines smart meters, sensors, control systems, and analytical tools to provide real-time visibility into energy performance and enable automated adjustments. This approach minimizes energy waste, lowers operating expenses, improves system performance, and supports environmental objectives while ensuring efficient and reliable energy utilization across diverse applications.
Decarbonization & net-zero mandates
Governments worldwide are enforcing stricter emissions regulations across industrial, commercial, and residential sectors. Organizations are increasingly deploying automated energy monitoring and control systems to reduce carbon footprints and improve compliance. The integration of real-time analytics enables precise tracking of energy consumption and emissions performance. Utilities and large enterprises are leveraging automation to optimize renewable energy integration and load balancing. Growing pressure from investors and stakeholders to demonstrate sustainability performance is reinforcing adoption. As climate policies tighten, energy automation is becoming essential for long-term operational viability.
Interoperability & market fragmentation
Diverse communication protocols, legacy systems, and vendor-specific platforms limit seamless system integration. Many facilities operate mixed infrastructure environments, complicating data consolidation and centralized control. The absence of universal standards increases implementation complexity and deployment costs. Fragmentation also restricts scalability, particularly for multi-site energy management initiatives. Smaller vendors struggle to align with evolving interoperability frameworks, slowing innovation. These limitations can reduce return on investment and delay digital energy transformation efforts.
Energy-as-a-service (EaaS)
EaaS allows customers to access advanced energy optimization solutions without high upfront capital investment. Service-based models combine automation software, analytics, and performance guarantees under subscription agreements. This approach is particularly attractive to commercial buildings and industrial users seeking predictable energy costs. Automation platforms enable continuous monitoring, demand response, and efficiency improvements within EaaS frameworks. Utilities and technology providers are increasingly partnering to expand managed energy services. As businesses prioritize flexibility, EaaS adoption is expected to rise steadily.
Skilled talent shortage
Deploying and maintaining advanced automation systems requires expertise in energy engineering, data analytics, and digital technologies. Rapid technological evolution has widened the gap between system complexity and workforce readiness. Organizations face challenges in recruiting professionals capable of managing AI-enabled and IoT-based platforms. Training existing staff involves high costs and extended learning timelines. Smaller firms are particularly vulnerable due to limited access to specialized talent.
The COVID-19 pandemic significantly influenced the energy management automation landscape. Lockdowns and reduced industrial activity initially lowered energy demand across multiple sectors. Supply chain disruptions delayed automation hardware deployment and project execution. However, the crisis accelerated digital transformation and remote energy monitoring adoption. Organizations increasingly relied on automated systems to manage energy assets with limited on-site personnel. Cloud-based platforms gained traction due to their remote accessibility and scalability. Post-pandemic strategies now emphasize resilience, automation, and real-time energy intelligence.
The software segment is expected to be the largest during the forecast period
The software segment is expected to account for the largest market share during the forecast period, driven by rising demand for data-driven energy optimization and centralized control platforms. Software solutions enable real-time monitoring, predictive analytics, and automated decision-making. Advanced dashboards provide actionable insights to reduce energy costs and improve efficiency. Integration with IoT devices and smart meters enhances system intelligence. Organizations prefer software-centric deployments due to scalability and lower maintenance requirements.
The smart homes segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the smart homes segment is predicted to witness the highest growth rate. Increasing consumer awareness of energy efficiency and sustainability is driving adoption. Automated home energy systems optimize lighting, HVAC, and appliance usage. Integration with smart grids enables demand response and dynamic pricing benefits. Falling costs of sensors and connected devices are accelerating market penetration. Government incentives for energy-efficient housing further support growth.
During the forecast period, the Asia Pacific region is expected to hold the largest market share. Rapid industrialization and urbanization are driving high energy consumption across the region. Countries such as China, India, and Japan are investing heavily in smart infrastructure and grid modernization. Government-led sustainability initiatives are encouraging energy efficiency improvements. Large-scale deployment of renewable energy systems requires advanced automation solutions. Manufacturing and commercial sectors are adopting automated energy controls to manage operational costs.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR. Strong regulatory support for energy efficiency and emissions reduction is driving adoption. The region leads in the deployment of smart grids and advanced metering infrastructure. High penetration of AI, cloud computing, and IoT technologies supports automation growth. Commercial buildings and data centers are major adopters of advanced energy management platforms. Utility companies are investing in digital energy optimization solutions.
Key players in the market
Some of the key players in Energy Management Automation Market include Schneider Electric SE, Rockwell Automation, Inc., Siemens AG, C3.ai, Inc., Honeywell International Inc., GridPoint, Inc., General Electric Company, Delta Electronics, Inc., ABB Ltd., Cisco Systems, Inc., IBM Corporation, Mitsubishi Electric Corporation, Johnson Controls International plc, Eaton Corporation plc, and Emerson Electric Co.
In July 2025, Siemens AG announced that it has completed the acquisition of Dotmatics, a leading provider of Life Sciences R&D software headquartered in Boston and Portfolio Company of global software investor Insight Partners, for an enterprise value of $5.1 billion. With the transaction now completed, Dotmatics will form part of Siemens' Digital Industries Software business, marking a significant expansion of Siemens' industry-leading Product Lifecycle Management (PLM) portfolio into the rapidly growing and complementary Life Sciences market.
In July 2025, Honeywell announced that it has acquired from Nexceris its Li-ion Tamer business, a leading off-gas detection solution for lithium-ion (li-ion) batteries that detects thermal runaway events. The acquisition enhances Honeywell's portfolio of best-in-class fire life safety technologies within its Building Automation segment and emerged from a partnership with Nexceris over the past 5 years to strategically address lithium-ion battery system safety. The transaction is expected to be immediately accretive to Honeywell's financials.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.