AI In Energy Market is expected to reach US$ 99.48 billion by 2032 | Major players - Schneider Electric, Siemens AG, General Electric, ABB, IBM

Market Size and Growth:

The AI In Energy Market size reached US$ 9.89 billion in 2024 and is expected to reach US$ 99.48 billion by 2032, growing with a CAGR of 33.45% during the forecast period 2025-2032.

The AI In Energy Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.

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The AI in Energy Market refers to the application of artificial intelligence technologies such as machine learning, predictive analytics, and automation to optimize energy generation, distribution, storage, and consumption. It enables smarter grid management, demand forecasting, asset monitoring, fault detection, energy efficiency improvements, and integration of renewable sources across utilities, oil and gas, and power sectors.

Recent Key Developments of United States:

✅ January 2026: Siemens AG expanded its AI-powered MindSphere platform for renewable asset management, gaining U.S. utility contracts for real-time grid optimization and predictive analytics. GE accelerated AI-driven demand forecasting in wind and solar farms to boost energy yield and stability.​

✅ December 2025: Big Tech companies shifted to an "all-of-the-above" strategy, securing gas and nuclear power contracts to fuel AI data centers while maintaining clean energy commitments. This addressed the surge in reliable power needs, with U.S. data center power projected to reach 61.8 GW.​

✅ October 2025: The Energy Department reallocated $365 million in funding to support AI-related energy initiatives, focusing on grid modernization and efficiency. This move aimed to accelerate deployment of AI tools for energy optimization amid rising data center demands.​

Recent Key Developments of Japan:

✅ January 2026: Japanese utilities ramped up AI for smart grid management and robotics in renewable maintenance, backed by government carbon neutrality efforts. Cloud-based AI platforms for demand forecasting and distribution optimization were showcased at Tokyo energy expos.

✅ December 2025: A study highlighted AI's role alongside low-carbon energies in advancing environmental sustainability within Japan's energy systems. It emphasized AI's potential for predictive processes to enhance energy security.

✅ November 2025: Asian commodity firms, including Japanese players, accelerated AI adoption to cut energy sector costs by 10-25% and boost efficiency by 5-8%. This supported clean energy investments and supply chain enhancements.​​​

List of the Key Players in the AI In Energy Market:

Schneider Electric
Siemens AG
General Electric
ABB
Honeywell International Inc
IBM
Microsoft Inc.
Oracle
C3.ai, Inc.
Vestas Wind Systems A/S

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This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

Segments Covered in the AI In Energy Market:

By Component: Solutions, Services.

By Deployment Mode: On-Premises, Cloud.

By Energy Source: Renewable Energy, Non-Renewable Energy.

By Application: Demand Forecasting, Grid Optimization & Management, Predictive Maintenance, Safety, Security & Infrastructure, Others.

Regional Analysis:

⇥ 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, AI In Energy market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global AI 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 AI 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 AI 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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People Also Ask:

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