Artificial Intelligence in Energy Market is expected to reach US$ 134.25 billion by 2032 | Major players - ABB, Alphabet, General Electric, IBM, Siemens.

Market Size and Growth:

The Global Artificial Intelligence in Energy Market Size reached US$ 16.53 billion in 2024 and is expected to reach US$ 134.25 billion by 2032, growing at a CAGR of 30.2% during the forecast period 2025-2032. The Market is growing due to increasing adoption of AI-driven solutions for energy optimization, predictive maintenance, and enhanced grid efficiency across the energy sector.

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The Artificial Intelligence in Energy Market refers to the adoption of AI technologies, such as machine learning, predictive analytics, and automation, to optimize energy generation, distribution, and consumption. It enhances efficiency, reduces operational costs, enables smart grid management, supports renewable energy integration, and improves decision-making across utilities, oil & gas, and renewable sectors, driving sustainable and intelligent energy solutions.

United States: Recent Developments of Artificial Intelligence in Energy Market

✅ December 2025: AI is increasingly used to improve demand response and energy efficiency with tools that autonomously reduce energy consumption in buildings and industrial processes.

✅ November 2025: Major investments are being made by U.S. tech giants such as Microsoft and Google on clean energy projects and AI-powered hybrid energy parks to power AI data centers and reduce carbon footprints.

✅ October 2025: The U.S. faces rising electricity demand due to AI, creating urgency to focus on boosting supply from nuclear, natural gas, and renewable sources to meet the load.

Europe: Recent Developments of Artificial Intelligence in Energy Market

✅ December 2025: The European Commission is preparing a strategic roadmap for digitalization and AI in the energy sector, aiming to accelerate AI deployment, improve data access, and support development of AI models for energy optimization.

✅ November 2025: Europe hosts high-level events discussing AI's role in enhancing grid resilience, energy forecasting, and integrating renewables, supported by a growing market anticipated to reach multi-billion euros in value.

✅ October 2025: The European Commission's AI strategy in energy focuses on AI-driven improvements to energy efficiency, grid management, renewable integration, and energy storage optimization, empowering both citizens and businesses to save energy and costs.

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Major Players:

Key companies in the Artificial Intelligence in Energy market include:

ABB
Alphabet
General Electric
IBM
Siemens
Schneider Electric
BuildingIQ
Enlighted
Grid4C
Watty.

Market Growth Drivers:

✅ Rising Need for Energy Efficiency and Optimization: Utilities and enterprises increasingly adopt AI to reduce costs, minimize waste, and enhance sustainability through real-time monitoring, predictive maintenance, and intelligent decision-making.

✅ Integration of Renewable Energy Sources: AI addresses the intermittency of solar and wind power by enabling accurate forecasting, grid balancing, and effective management of supply and demand, supporting the global shift toward sustainable energy.

✅ Advancements in Smart Grids and Digital Infrastructure: The expansion of smart meters, IoT sensors, and cloud platforms drives AI applications for improved load forecasting, demand response, and grid reliability, modernizing aging energy systems.

Segments Covered in the Artificial Intelligence in Energy Market:

By Solution: Software Solutions, Hardware Solutions, Services.

By Application: Load Research and forecasting, Optimization, Transmission & distribution.

Regional Analysis for Artificial Intelligence in Energy Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline:

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Artificial Intelligence in Energy market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Artificial Intelligence in Energy Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Artificial Intelligence in Energy market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Artificial Intelligence in Energy Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of Artificial Intelligence in Energy market?

➠ Who are the global key manufacturers of the Artificial Intelligence in Energy Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the Artificial Intelligence in Energy market opportunities and threats faced by the vendors in the global Artificial Intelligence in Energy Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the Artificial Intelligence in Energy market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

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