AI in Energy Market to Reach US$99.48 Billion by 2032, Growing at 33.45% CAGR | Schneider Electric Invests US$700 Million to Boost AI-Driven U.S. Grid Resilience by 2027

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.

AI in the energy market refers to the integration of machine learning, predictive analytics, optimisation algorithms, computer vision, and other artificial intelligence technologies to improve efficiency, reliability, sustainability and cost-effectiveness in generation, transmission, distribution, and consumption of energy. It helps forecast demand, manage grid stability, optimise renewables integration, and reduce operational losses. AI also supports predictive maintenance of energy assets, anomaly detection, and automated control for smart grids. The technology is increasingly important as energy systems become more complex and decarbonisation goals tighten globally.

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United States: Recent Industry Developments

✅ In March 2025, Schneider Electric announced an investment of over US$700 million to boost U.S. energy infrastructure by 2027, focusing on capacity for AI-driven demand, domestic manufacturing, and grid resilience.

✅ In February 2025, U.S. corporations contracted nearly 120 GW of clean energy to meet soaring electricity demand fueled by AI data centers, marking a ~66% year-on-year increase in clean-energy capacity procurement.

✅ In July 2025, Google struck a US$3 billion hydropower deal with Brookfield in Pennsylvania, and concurrently Blackstone pledged US$25 billion toward data centers and energy infrastructure in Pennsylvania and nearby states to support AI infrastructure growth.

Japan: Recent Industry Developments

✅ In June 2025, Japan pushed for long‐term LNG supply deals, even past 2050, as AI growth, data centers and semiconductor factories drive up power demand and prompt a renewed role for gas under its 7th Strategic Energy Plan.

✅ In June 2025, Mitsubishi Corporation began major imports of Canadian LNG starting by July, acquiring about 15% stake in the LNG Canada project to secure ~2.1 million tons per year, reflecting strategic energy diversification tied to rising AI-sector electricity usage.

✅ In September 2025, Japan committed over US$2.6 billion since December 2023 toward battery energy storage systems (BESS) to address renewable energy curtailment and mounting electricity demand from AI/data center expansion; though recent policy changes could challenge future growth.

☛ AI In Energy Market Dynamics and Drivers

One core driver is soaring demand for energy, especially from AI data centres. As AI workloads (training, inferencing, generative AI) scale up, electricity usage grows sharply, creating pressure on energy infrastructure to deliver capacity, reliability, and continuity. Utilities and grid operators are increasingly turning to AI tools themselves-such as predictive maintenance, grid congestion management, and asset monitoring-to manage strain, reduce downtime, and improve efficiency.

Another factor is policy, regulation, and clean energy mandates. Governments are pushing for decarbonisation, carbon neutrality, stronger energy-efficiency standards, and sustainability. This is accelerating investment in renewable energy sources, nuclear/SMRs, cleaner power, and demand response programs. AI is critical in modelling, forecasting, and optimising cleaner grids and making energy supply more resilient.

Technological advances also fuel the market. Improvements in AI models (foundation models, digital twins, large language models) enable more accurate forecasting, real-time optimization, and advanced control of distributed energy resources. Cooling technologies, storage systems, and smart grid technologies are evolving to handle increasing energy density and intermittent renewable generation.

☛ AI In Energy Industry News:

➣ In the U.S., a major collaboration project is building four natural-gas power plants totalling about 5 gigawatts (GW) to address rising electricity demand from data centres and AI workloads.

➣ Electricity demand from data centres globally is projected to more than double by 2030 to around 945 terawatt-hours (TWh), with AI-optimised data centre demand expected to quadruple in that same period.

➣ EcoDataCenter in Sweden raised €600 million (~US$700+ million) in debt financing to expand AI-focused data centres in Falun and Borlänge, boosting capacity for compute-intensive applications.

➣ Meta entered into a deal to support a 150 megawatt (MW) geothermal project in New Mexico aimed at powering its data centres with clean energy while aligning with net-zero goals.

➣ A recent report projected that water usage by AI data centres could reach 1,068 billion litres annually by 2028, an 11-fold increase from current levels, reflecting rising cooling and infrastructure demands.

☛ AI In Energy Market Competitive Landscape:

Intel, Google, Microsoft, Oracle, Sentient technologies, Inbenta, General Vision, Cisco, Hortonworks and IBM.Research Methodology

We employ a hybrid approach, integrating qualitative insights with robust quantitative analysis to deliver comprehensive and reliable market intelligence. The process starts with extensive secondary research, leveraging trusted industry publications, proprietary databases, and credible market sources. This foundation is then strengthened through targeted primary research, including structured surveys and in-depth interviews with industry leaders, subject matter experts, and key market participants.

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☛ Segment Covered in the AI In Energy Market:

By Type (Hardware, Software, Services)

By Function (Predictive Maintenance & Machinery Inspection, Field Services, Material Movement, Quality Control, Reclamation, Production Planning)

By Application (Upstream, Midstream, Downstream)

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☛ 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)

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