United States AI In Energy Market 2025 | Growth Drivers, Market Forecast, Competitive Landscape & Business Opportunities

Market Size and Growth

AI In Energy Market 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.

Key Development:

United States: Recent Industry Developments

✅ In September 2025, Fermi Corp., co-founded by former U.S. Energy Secretary Rick Perry, raised $682.5 million in its IPO. The company plans to develop a 15 million-square-foot AI-powered data center and power plant in Amarillo, Texas, aiming to deploy 1 GW of power by 2026 and expand to 11 GW by 2038 using nuclear, natural gas, and solar energy sources.

✅ In July 2025, the U.S. Department of Energy announced a $625 million investment to expand and reinvigorate America's coal industry, aiming to boost energy production and support coal communities nationwide.

✅ In July 2025, the U.S. AI & Energy Summit united policymakers, legislators, and innovators to explore the unique role of AI in modernizing energy infrastructure, driving economic growth, and addressing national energy challenges.

Japan: Recent Industry Developments

✅ In July 2025, the Japanese government announced plans to invest in AI-driven energy solutions to enhance grid management and optimize energy consumption across the nation. This initiative aims to integrate AI technologies into existing energy infrastructure to improve efficiency and sustainability.

✅ In June 2025, Japan's Ministry of Economy, Trade, and Industry (METI) launched a pilot project in collaboration with local utilities to deploy AI algorithms for predictive maintenance and real-time monitoring of power plants. The project seeks to reduce downtime and enhance the reliability of energy supply.

✅ In May 2025, Japanese automaker Toyota announced a partnership with AI startups to develop smart grid technologies that enable electric vehicles to communicate with the power grid. The collaboration aims to facilitate vehicle-to-grid integration and promote sustainable energy usage.

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Recent Mergers and Acquisitions:

United States: Recent M&A in AI + Energy

✅ In September 2025, Blackstone agreed to acquire the Hill Top Energy Center, a 620 MW natural gas plant in Pennsylvania, for about $1 billion. The deal reflects growing investor demand for power infrastructure to meet AI-driven electricity consumption.

✅ In August 2025, key clean energy and infrastructure deals included Array acquiring APA Solar for $179 million, Zeo acquiring Heliogen, and Eaton acquiring Resilient Power. These consolidations highlight a focus on AI-adjacent and renewable technologies.

✅ In January-February 2025, 27 U.S. power deals worth a combined $36.4 billion were closed, led by Constellation Energy's $16.4 billion acquisition of Calpine. The wave of transactions was fueled by increasing power demand from AI and data centers.

Japan / Asia: Recent M&A in AI + Energy

✅ In June 2025, Japan recorded a historic $232 billion in M&A activity, driven largely by energy, technology, and infrastructure transactions, positioning the country at the center of Asia's rebound in deal-making.

✅ In the first half of 2025, Japanese firms announced 55 outbound acquisitions in Europe worth about €4.5 billion, targeting energy, technology, and digital infrastructure assets as part of Japan's global clean energy expansion.

Key Players:

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

Growth Forecast Projected:

The Global AI In Energy Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

Research Process:

Both primary and secondary data sources have been used in the global AI In Energy Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

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Key Segments:

➥ 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 for AI 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)

Benefits of the Report:

Chapter 1: Sets the stage by outlining the report's coverage, summarizing key market segments by region, product type, and application. Presents a snapshot of market sizes, growth potential across segments, and anticipated industry evolution both short and long term.

Chapter 2: Highlights pivotal market insights and uncovers the most significant emerging trends driving change within the industry.

Chapter 3: Offers an in-depth look at the competitive landscape among AI In Energy producers, including revenue shares, strategic moves, and recent mergers and acquisitions.

Chapter 4: Presents comprehensive profiles of the market's key players, delving into details such as revenue, profit margins, product portfolios, and company milestones.

Chapters 5 & 6: Analyze AI In Energy revenue at both regional and country levels, providing quantitative breakdowns of market sizes, growth opportunities, and development prospects worldwide.

Chapter 7: Focuses on different market segments by type, examining their individual sizes and potential, guiding readers toward high-impact, untapped market areas.

Chapter 8: Explores segmentation by application, evaluating industry growth potential in various downstream markets and pinpointing promising sectors for expansion.

Chapter 9: Provides a thorough review of the industry's supply chain mapping out both upstream and downstream activities.

Chapter 10: Concludes with a summary of the report's key findings and highlights the most critical takeaways for industry stakeholders.

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FAQ

What is the current size of the AI In Energy Market?

A: In 2024, the AI In Energy Market was valued at US$ 9.89 billion, reflecting its strong industry presence.

Q2: How large is the AI In Energy Market expected to be by 2032?

A: By 2032, industry forecasts suggest the AI In Energy Market will grow to around US$ 99.48 billion, demonstrating significant expansion.

Q3: What is the growth rate of the AI In Energy Market?

A: The market is projected to expand at a compound annual growth rate (CAGR) of 33.45% during the forecast period from 2025 to 2032.

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