Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
AI In Energy Market Size Outlook: How Quickly Will Revenue Expand Through 2030?
The AI in energy market has demonstrated significant expansion in recent years. Its valuation is predicted to climb from $22.82 billion in 2025 to $27.89 billion in 2026, achieving a compound annual growth rate (CAGR) of 22.2%. The historical expansion of this market stems from factors including rising energy consumption, early grid automation initiatives, the expansion of renewable energy capacity, the demand for operational efficiency, and the growth of smart metering infrastructure.
The AI in energy market size is anticipated to see significant growth in the next few years, reaching $60.6 billion in 2030 at a compound annual growth rate (CAGR) of 21.4%. This expansion during the forecast period can be attributed to several factors including decarbonization targets, the adoption of AI-driven grid intelligence, the increase in distributed energy resources, the demand for real-time energy analytics, and energy management focused on resilience. Major trends for this period are expected to include the integration of AI-based demand forecasting, the advancement of smart grid optimization, the deployment of predictive maintenance solutions, the broadening of renewable energy management, and the application of AI for enhancing energy efficiency.
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AI In Energy Market Opportunity Drivers: What’s Unlocking New Revenue Potential?
The increasing implementation of microgrids is anticipated to significantly advance the expansion of AI in the energy market. A microgrid constitutes a localized energy system capable of operating independently or in conjunction with the primary power grid. These systems are instrumental in integrating and optimizing AI technology within the energy sector, facilitating intelligent energy management, grid optimization, and the incorporation of renewable energy sources. Such integration supports various AI energy applications, including demand response, load balancing, and the enhanced integration of renewable energy. Consequently, AI in the energy market is experiencing notable growth driven by the rising deployment of microgrids. For instance, in September 2024, data from the Energy Trends published by the Department for Energy Security and Net Zero, a UK-based ministerial department, revealed that the installed capacity climbed by 3.9 percent (2.1 GW) in the second quarter of 2024 compared to the same quarter in 2023, totaling 57.5 GW. Therefore, the expanding use of microgrids is projected to fuel the growth of AI in the energy market.
AI In Energy Market Segmentation And Category Overview
The AI in energy market covered in this report is segmented –
1) By Offering: Support Services, Hardware, Artificial Intelligence (AI)-As-A-Service, Software
2) By Deployment: On-Premise, Cloud
3) By Application: Demand Response Management, Fleet And Asset Management, Renewable Energy Management, Precision Drilling, Demand Forecasting, Infrastructure Management, Other Applications
4) By End User: Energy Transmission, Energy Generation, Energy Distribution, Utilities, Other End Users
Subsegments:
1) By Support Services: Consulting Services, Implementation Services, Maintenance And Support Services
2) By Hardware: Artificial Intelligence (AI)-Powered Sensors, Smart Meters, Edge Computing Devices
3) By Artificial Intelligence (AI)-As-A-Service: Machine Learning Platforms, Data Analytics Services, Model Training And Development Services
4) By Software: Energy Management Software, Predictive Maintenance Software, Demand Response Software, Grid Management Software
AI In Energy Market Innovation Trends Shaping Future Development
Prominent companies active in the artificial intelligence sector within the energy market are developing new technologies, exemplified by the Pangu Mine Model, which represents the world’s first commercially available extensive AI model for the energy industry. This Pangu Mine Model is engineered to tackle difficulties within the mining industry and the wider energy domain by implementing large AI models in industrial production. For instance, in July 2023, Shandong Energy Group Co. Ltd., a China-based coal mining enterprise, YunDing Tech Co. Ltd., a China-based network technology firm, and Huawei Technologies Co. Ltd., a China-based manufacturing organization, collectively launched the Pangu Mine Model. The Pangu Model offers features such as segregated operation management, intelligent production, on-site data processing, broad replicability, and analysis and learning from small data sets. Its design aims to enhance the intelligence level of energy applications in the mining industry by broadening the reach and depth of AI deployments across different situations and consistently utilizing AI to deliver increased automation, achieve greater efficiency, minimize labor intensity, and boost safety in energy usage for mining operations.
AI In Energy Market Competitive Analysis Of Leading Industry Participants
Major companies operating in the AI in energy market are Google; Microsoft Corporation; Engie SA; Huawei Technologies Co Ltd.; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Iberdrola; Cisco Systems Inc.; Schneider Electric SE; Honeywell International Inc.; ABB Ltd; Duke Energy Corporation; Nvidia Corporation; Alpiq Holding AG; ATOS SE; Enel Green Power S.p.A.; Databricks Inc.; C3 AI; Uptake Technologies; Sentient Energy Inc.; AutoGrid Systems Inc.; Arundo Analytics Inc.; Bidgely Inc.; Verdigris Technologies; Greenbird Integration Technology AS; AppOrchid Inc.; Ecube Labs Co. Ltd
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AI In Energy Market Geographic Analysis: Where Is Demand Rising Fastest?
North America was the largest region in AI in the energy market in 2025. Asia-pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in energy market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
