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Artificial Intelligence (AI) in Energy And Power Market Value Growth And Long-Term Outlook
The artificial intelligence (AI) in energy and power market has experienced substantial expansion in its size during recent years. Projections indicate it will grow from $6.45 billion in 2025 to $7.95 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.2%. The historical increase can be attributed to the early adoption of predictive maintenance tools, an increase in renewable energy penetration, the growth of demand forecasting systems, a wider deployment of smart meters, and the expansion of digital monitoring infrastructure.
The artificial intelligence (AI) in energy and power market is expected to demonstrate substantial expansion in the coming years. Projections indicate it will attain a value of $18.31 billion by 2030, growing at a compound annual growth rate (CAGR) of 23.2%. This anticipated growth is driven by various factors such as the rise of AI-driven grid automation, the increasing adoption of distributed energy resources, a heightened demand for real-time load balancing, the broadening of AI-based energy analytics platforms, and progress in machine learning models for energy optimization. Prominent trends expected in this period include the expanding application of AI for optimizing demand forecasting, the wider integration of AI-enabled smart grid systems, increased implementation of AI in renewable energy integration, the proliferation of AI-based energy management solutions, and the enhanced utilization of AI for power distribution and load balancing.
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Artificial Intelligence (AI) in Energy And Power Market Growth Factors Behind Sustained Expansion
Increasing capital flowing into energy sectors is anticipated to fuel the expansion of artificial intelligence (AI) within the energy and power market in the future. Fundamentally, investments involve dedicating resources, often financial, with the aim of achieving future returns or profits. Historically, the energy and power sectors have utilized these investments to deploy artificial intelligence (AI) in numerous capacities, leading to better decision-making, streamlined operations, more effective energy management, and improved reliability and service quality across the industry. For instance, the International Energy Agency, a France-based intergovernmental organization, indicated in October 2025 that capital investments in the energy sector are anticipated to rise in 2025, reaching USD 3.3 trillion, reflecting a 2% real-term expansion compared to 2024. Consequently, the expanding investments within energy sectors are serving as a catalyst for the advancement of artificial intelligence (AI) in the energy and power market.
Artificial Intelligence (AI) in Energy And Power Market Breakdown By Product Type And Application
The artificial intelligence (AI) in energy and power market covered in this report is segmented –
1) By Technology: Machine Learning, Natural Language Processing, Computer Vision
2) By Application: Demand Forecasting, Energy Production And Distribution Optimization, Energy Management, Smart Grids, Smart Meter, Other Applications
3) By End-User: Commercial And Industrial, Residential
Subsegments:
1) By Machine Learning: Predictive Maintenance, Demand Forecasting, Energy Management Systems
2) By Natural Language Processing (NLP): Chatbots For Customer Service, Voice Assistants For Energy Management, Document Analysis And Reporting
3) By Computer Vision: Asset Monitoring And Inspection, Safety And Surveillance Systems, Fault Detection In Equipment
Artificial Intelligence (AI) in Energy And Power Market Industry Trends Fueling Future Revenue Growth
Leading firms involved in artificial intelligence within the energy and power sectors are introducing groundbreaking AI innovations, like Gridmatic Retail, to satisfy the sophisticated energy requirements of commercial clients. Such an AI-driven power marketer aims to streamline the procurement of clean energy and offer consistency and automated solutions for commercial and industrial clients requiring advanced energy services. As an illustration, in January 2023, Gridmatic, which operates as an AI-powered energy marketer, launched Gridmatic Retail, designed to simplify renewable energy acquisition and provide both predictability and automation for corporate and industrial customers. This service provides advanced retail energy offerings, encompassing time-matched renewables, continuous carbon-free energy, and agreements for load variability. Furthermore, it facilitates the shift towards net zero emissions and stabilizes the grid powered by renewables by leveraging its specialized AI to deliver highly advanced, time-matched renewable contracts and personalized products for customers facing diverse and intricate energy demands.
Artificial Intelligence (AI) in Energy And Power Market Company Landscape And Competitive Strategy
Major companies operating in the artificial intelligence (AI) in energy and power market are Google LLC, Microsoft Corporation, Mitsubishi Electric Corporation, Bosch.IO, Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc., C3.AI Inc., Vayyar Imaging Ltd., Uptake Technologies Inc., Verdigris Technologies Inc., Aurora Solar Technologies, SenseHawk
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Artificial Intelligence (AI) in Energy And Power Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the artificial intelligence (AI) in energy and power market in 2025. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in energy and power 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.
