Generative AI in utilities market to grow from $1.4B to $6.62B by 2030

The generative AI in utilities market is experiencing rapid expansion rooted in the convergence of three forces: rising electricity and water demand, the shift toward renewable energy sources, and technological advances in AI and cloud platforms. The market's growth from $1.4 billion（約2200億円） in 2025 to a projected $6.62 billion（約1.1兆円） by 2030 reflects widespread recognition that traditional utility management cannot keep pace with modern energy needs. Utilities are increasingly turning to AI-powered solutions—such as large language model chatbots, digital twins for wind turbine maintenance, and IoT-enabled predictive maintenance systems—to optimize operations and reduce downtime.

Renewable energy expansion is a critical enabler of this market growth. With U.S. solar alone reaching approximately 220 GW of installed capacity and supplying over 7% of national electricity as of 2025, the complexity of balancing variable renewable generation with demand has created urgent need for real-time optimization tools. Generative AI algorithms help utilities forecast electricity demand (a capability highlighted by Snowflake's 2023 acquisition of Myst AI Inc. for its electricity demand forecasting specialization) and orchestrate distributed energy resources across smart grids integrated with IoT devices and cloud platforms.

Regionally, North America leads the market today, but the framework is expanding globally. The involvement of major players—Microsoft, Hitachi, Amazon Web Services, Siemens, and IBM—signals institutional commitment, while industry innovations such as unified platforms for real-time insights (championed by companies like Databricks Inc.) suggest that utility digitalization is moving beyond pilot projects into mainstream deployment. Projected growth at a 36.3% CAGR through 2030 indicates that utilities worldwide will continue to prioritize AI-driven efficiency, sustainability, and customer engagement.