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Artificial Intelligence (AI) in Energy And Power Market CAGR Analysis And Future Market Development
The market size for artificial intelligence (AI) in energy and power has experienced rapid expansion in recent years. It is projected to grow from $6.45 billion in 2025 to $7.95 billion by 2026, at a compound annual growth rate (CAGR) of 23.2%. The growth observed in the historic period is attributable to elements like the early adoption of predictive maintenance tools, a rise in renewable energy penetration, advancements in demand forecasting systems, an increased deployment of smart meters, and the broader expansion of digital monitoring infrastructure.
The artificial intelligence (AI) in energy and power market size is anticipated to undergo significant expansion in the coming years. It is forecast to reach $18.31 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 23.2%. This growth during the forecast period is primarily driven by the increasing implementation of AI-driven grid automation, the growing adoption of distributed energy resources, the heightened demand for real-time load balancing, the expansion of AI-based energy analytics platforms, and progress in machine learning models for energy optimization. Significant trends expected in this period include the rising application of AI for demand forecasting optimization, the increased integration of AI-enabled smart grid systems, the growing deployment 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 Expansion Supported By Key Demand Factors
Increasing capital allocations within energy sectors are anticipated to boost the expansion of artificial intelligence (AI) within the energy and power market moving ahead. An investment signifies the deployment of resources, usually monetary, with the aim of achieving a future return or gain. These sectors have been channeling funds to harness artificial intelligence (AI) across multiple applications, leading to enhanced decision-making, optimized operational efficiency, superior energy management, and improved service reliability and standard within the industry. As an illustration, the International Energy Agency, a France-based intergovernmental organization, forecasts that by October 2025, capital investments in the energy sector will grow in 2025, attaining USD 3.3 trillion, which denotes a 2% real-term rise compared to 2024. Consequently, the expanding financial commitments in energy sectors are fueling the proliferation of artificial intelligence (AI) in the energy and power market.
Artificial Intelligence (AI) in Energy And Power Market Segments: Where Are The Largest Growth Opportunities?
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 Growth Trends: What Is Influencing The Future Outlook?
Leading companies utilizing artificial intelligence (AI) in the energy and power markets are developing innovative AI advancements, such as Gridmatic Retail, to satisfy the sophisticated energy demands of commercial customers. An AI-driven power marketer works to optimize clean energy purchasing and offers predictability and automation for commercial and industrial customers with advanced energy requirements. For example, in January 2023, Gridmatic, an AI-enabled power marketer, introduced Gridmatic Retail to streamline the acquisition of renewable energy while providing predictability and automation for business and industrial clients. This service delivers next-generation retail energy products, including time-matched renewables, 24/7 carbon-free energy, and load variability contracts. Moreover, it accelerates the path to net zero and helps balance the renewable-powered grid by leveraging its industry AI to provide the most advanced, time-matched renewable contracts and custom products for customers with variable and complex energy needs.
Artificial Intelligence (AI) in Energy And Power Market Major Participants And Competitive Dynamics
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 Regional Outlook: Where Are The Largest Opportunities Located?
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.