Global Applied AI in Energy and Utilities Market Strategic Research Report

Scope of the Report

The global Applied AI in Energy and Utilities market size is predicted to grow from US$ 689 million in 2025 to US$ 2,394 million in 2032; it is expected to grow at a CAGR of 19.9% from 2026 to 2032.

Artificial Intelligence (AI) is reshaping the energy and utilities market by enhancing efficiency, sustainability, and reliability. AI applications are wide-ranging, offering transformative benefits. AI optimizes grid operations, improving energy demand forecasting and infrastructure reliability. It also fine-tunes building energy management through sensor data analysis. Additionally, AI aids in energy trading, grid security, and customer service, making the entire energy ecosystem more efficient. AI's influence extends to smart grids, sector coupling, and electric vehicle integration. It streamlines grid management in the face of decentralized energy sources, supports intelligent power generation and consumption coordination, and enhances grid stability. In the realm of electricity trading, AI-driven forecasts boost grid stability and renewables integration, and recent developments have shown its potential in reducing control reserve demand.

The rapid expansion and substantial investments in the smart city landscape are significantly influencing the growth of applied AI in the energy and utilities market. This evolution is particularly pronounced in three core sectors: communications, energy, and transportation, which are receiving heightened attention, increased funding, and intensified research and development efforts. These endeavors are aimed at delivering highly efficient solutions and enhancing the overall well-being of urban residents. The global smart cities market is predicted to reach approximately US$ 1.38 trillion by 2030, a substantial rise from its 2019 valuation of US$ 392.9 billion. Furthermore, approximately two-thirds of cities worldwide have already channeled investments into smart city technologies, and this trend is poised to persist, with a projected CAGR of 49.20% between 2022 and 2027. The movement of people towards urban centers stands as another driving force behind the advancement of smart cities, with the current urban population comprising 55% of the global populace, predicted to ascend to 68% by 2050. This urban migration is propelled by the allure of enhanced digital technologies, which attract both businesses and residents, thereby fostering economic expansion.

This report presents a comprehensive overview of the global Applied AI in Energy and Utilities market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• On-Premises
• Cloud

Segment by Application

• Energy Generation
• Energy Transmission
• Energy Distribution
• Utilities
• Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Applied AI in Energy and Utilities market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Energy Generation, Energy Transmission, Energy Distribution evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact