Artificial Intelligence in Energy Market outlook strong with rising...

Artificial Intelligence in Energy Market outlook strong with rising global energy efficiency needs

Posted 2025-09-01 13:26:22

A report by DataM Intelligence estimates the Global Artificial Intelligence in Energy market to grow at a high CAGR during the forecast period 2024-2031.

Artificial intelligence (AI) in the energy market refers to the application of AI and machine learning algorithms to solve complex challenges within the energy sector. These technologies are used to analyze vast amounts of data from sensors, smart meters, and grid infrastructure to enable a variety of applications. This includes, but is not limited to, predicting energy demand, optimizing the integration of renewable energy sources, enhancing grid stability, and performing predictive maintenance on power plant equipment to prevent costly failures.

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Recent Global News

Global & US

Microsoft and Constellation Partnership: Microsoft recently announced a deal with Constellation, a major nuclear operator, to purchase power from a nuclear plant to fuel its growing AI data centers. This reflects the increasing energy demands of AI and a strategic move toward carbon-free energy sources.
BloombergNEF Outlook: A recent report from BloombergNEF highlighted that accelerated power demand from the rising adoption of AI presents both a significant challenge and a business opportunity for the energy sector, emphasizing the need for new energy infrastructure to support computing growth.

Japan

EdgeCortix Funding: EdgeCortix, a Tokyo-based semiconductor company, was awarded a new 3 billion yen project from Japan's New Energy and Industrial Technology Development Organization (NEDO). The project aims to develop an advanced, energy-efficient AI chiplet for edge computing, with applications in robotics, autonomous systems, and smart manufacturing.
Japan-India Collaboration: Japanese and Indian leaders announced a new joint vision to strengthen cooperation in several areas, including AI and energy. This initiative aims to foster a technology partnership for building resilient supply chains and addressing bilateral impediments to strategic collaboration.

Segmentation

By Solution: Software Solutions, Hardware Solutions, Services.
By Application: Load Research and forecasting, Optimization, Transmission & distribution.

Leading Companies

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

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Market Trends

Renewable Energy Integration: A major trend is the use of AI to manage the intermittency of renewable sources like solar and wind. AI models forecast weather patterns and energy production to help grid operators balance supply and demand in real-time.

Predictive Maintenance: Energy companies are using AI to analyze data from sensors on equipment (e.g., wind turbines, transformers) to predict potential failures before they occur. This allows for proactive maintenance, reducing downtime, extending asset lifespan, and improving safety.

Business Opportunities

AI-Powered Analytics and Software: Businesses can develop and sell specialized software that uses AI to forecast energy demand, optimize grid operations, or manage energy trading for utility companies and corporations.

Consulting and Implementation Services: As energy companies look to adopt AI, there is a strong demand for consulting firms that can provide strategic guidance, system integration services, and employee training for the implementation of new AI technologies.

Edge AI and Hardware Development: Opportunities exist for companies to design energy-efficient hardware and AI chips specifically for edge computing in the energy sector. These devices can process data locally from sensors, reducing latency and bandwidth

Investment Analysis

Promising Growth: The market for AI in energy is an attractive investment area, driven by global megatrends like the energy transition, digitalization of infrastructure, and a focus on sustainability. The essential nature of the energy sector provides a stable foundation for investment.

High Capital Investment: The implementation of AI solutions, particularly for legacy infrastructure, can require significant initial capital investment. This can be a barrier for some companies, but it also presents opportunities for financing and investment firms.

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Summary

The market for artificial intelligence in the energy sector is experiencing a rapid transformation, driven by the global shift towards renewable sources and the need for more resilient and efficient power grids. AI is being deployed across the entire energy value chain, from forecasting and generation to distribution and consumption, to optimize operations and reduce waste. The industry's growth is heavily influenced by a global push for sustainable energy, and a focus on integrating complex digital technologies to manage fluctuating energy supplies.

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