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Artificial Intelligence (AI) in Energy And Power Market Growth Outlook: How Much Bigger Will The Market Be By 2030?
The artificial intelligence (AI) in energy and power market size has experienced remarkable growth in recent years. This market is projected to expand from $6.45 billion in 2025 to $7.95 billion in 2026, at a compound annual growth rate (CAGR) of 23.2%. The historical growth can be attributed to the early adoption of predictive maintenance tools, an increase in renewable energy penetration, improvements in demand forecasting systems, wider deployment of smart meters, and the expansion of digital monitoring infrastructure.
The artificial intelligence (AI) in energy and power market size is projected to experience substantial growth in the coming years. It is expected to reach $18.31 billion in 2030, showing a compound annual growth rate (CAGR) of 23.2%. This growth during the forecast period can be attributed to the rise in AI-driven grid automation, the increasing adoption of distributed energy resources, a growing need for real-time load balancing, the expansion of AI-based energy analytics platforms, and advancements in machine learning models for energy optimization. Prominent trends for the forecast period include the increasing application of AI for optimizing demand forecasting, the wider adoption of AI-enabled smart grid systems, the growing deployment of AI in renewable energy integration, the development of AI-based energy management solutions, and enhanced utilization of AI for power distribution and load balancing.
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How Is The Key Growth Driver Influencing The Artificial Intelligence (AI) in Energy And Power Market?
Increasing financial allocations within energy sectors are anticipated to drive the expansion of artificial intelligence (AI) in the energy and power market in the future. An investment involves deploying resources, usually capital, with the aim of achieving a return or profit over a period. These sectors have utilized such investments to harness artificial intelligence (AI) through diverse approaches, leading to better decision-making, streamlined operations, improved energy management, and heightened service reliability and quality within the industry. For example, the International Energy Agency, a France-based intergovernmental organization, reported that by October 2025, capital investments in the energy sector are forecast to rise in 2025, attaining USD 3.3 trillion, which indicates a 2% real-term increase compared to 2024. Consequently, the expanding financial commitments in energy sectors are fueling the development of artificial intelligence (AI) within the energy and power market.
Artificial Intelligence (AI) in Energy And Power Market Segmentation By Category: What Does The 2026 Report Cover?
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
How Are Industry Players Changing The Artificial Intelligence (AI) in Energy And Power Market Landscape?
Leading firms leveraging artificial intelligence (AI) within the energy and power sectors are creating groundbreaking AI solutions, like Gridmatic Retail, to satisfy the sophisticated energy demands of business clients. These advancements encompass AI-powered energy marketers designed to enhance clean energy procurement and deliver reliability and automated processes for commercial and industrial users requiring advanced energy solutions. As an illustration, in January 2023, Gridmatic, an AI-driven power marketing entity, launched Gridmatic Retail, which aims to simplify renewable energy acquisition while ensuring foresight and automation for commercial and industrial customers. This platform provides cutting-edge retail energy products, encompassing time-matched renewables, 24/7 carbon-free energy, and contracts addressing load variability. Furthermore, it facilitates the shift to net zero and stabilizes the renewable energy grid by employing its proprietary AI to supply the most sophisticated time-matched renewable contracts and tailored products for clients with fluctuating and intricate energy requirements.
Artificial Intelligence (AI) in Energy And Power Market Global Key Players And Competitive Overview
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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Regional Analysis Of The Artificial Intelligence (AI) in Energy And Power Market: Where Is The Industry Concentrated?
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.
