Generative AI in Utilities Market Report 2026

The generative artificial intelligence (AI) in utilities market size has grown exponentially in recent years. It will grow from $1.4 billion in 2025 to $1.92 billion in 2026 at a compound annual growth rate (CAGR) of 36.6%. The growth in the historic period can be attributed to growing demand for reliable electricity and water supply, increasing adoption of smart meters, rising investment in renewable energy, early implementation of predictive maintenance, expansion of utility analytics solutions.

The generative artificial intelligence (AI) in utilities market size is expected to see exponential growth in the next few years. It will grow to $6.62 billion in 2030 at a compound annual growth rate (CAGR) of 36.3%. The growth in the forecast period can be attributed to advancements in generative AI algorithms, integration of AI with smart grids and iot devices, adoption of cloud-based utility management platforms, expansion of renewable energy management solutions, growth in personalized customer energy services. Major trends in the forecast period include predictive maintenance for utility equipment, smart grid optimization solutions, energy consumption forecasting tools, renewable energy integration platforms, customer engagement and personalized energy management.

The increasing utilization of renewable energy sources is expected to support the growth of generative artificial intelligence (AI) in the utilities market going forward. Renewable energy sources are naturally replenishing resources such as solar, wind, hydro, geothermal, and biomass used for power generation. Adoption of renewable energy is accelerating due to scalability, declining costs, and broader implementation across regions. Generative artificial intelligence supports utilities by delivering data-driven insights that optimize energy generation, distribution, and consumption while reducing dependence on fossil fuels. For example, in February 2025, according to the World Resources Institute, a US-based non-profit research organization, solar power additions reached an estimated 39.6 GW in 2024, up from 27.4 GW in 2023, bringing total installed U.S. solar capacity to approximately 220 GW and supplying more than 7% of national electricity. Therefore, increasing utilization of renewable energy sources is contributing to the growth of generative artificial intelligence (AI) in the utilities market.

Leading companies operating in the generative artificial intelligence (AI) in the utility market are focusing on delivering real-time insights aligned with the growing adoption of data-driven approaches, such as unified platforms for the energy sector, to improve operational efficiency and enable advanced data analytics for informed decision-making. A unified platform for the energy sector is an integrated system that combines multiple technologies to optimize operations, strengthen data analysis, and support effective decision-making. For example, in April 2024, Databricks Inc., a US-based data and AI company, launched a data intelligence platform featuring large language model (LLM)-powered chatbots for personalized user support, Internet of Things (IoT)-based predictive maintenance to improve uptime and reduce costs, real-time data processing through digital twins, artificial intelligence (AI) and machine learning (ML) models for wind turbine maintenance, and grid-edge analytics to improve grid performance and prevent outages. In addition, the real-time data ingestion platform (RTDIP) provides a cloud-native framework for data standardization and predictive analytics.

In January 2023, Snowflake Inc., a US-based cloud computing data cloud company, acquired Myst AI Inc. for an undisclosed amount. This acquisition forms part of Snowflake’s strategy to embed machine learning extensibility within its data cloud platform and strengthen its time-series forecasting capabilities. Myst AI Inc. is a US-based provider of generative artificial intelligence technologies focused on electricity demand forecasting.

Major companies operating in the generative artificial intelligence (AI) in utilities market are Microsoft Corporation, Hitachi Ltd, Amazon Web Services Inc., Siemens AG, General Electric Company, IBM Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Capgemini SE, Eaton Corporation, Infosys Limited, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., The Tata Power Company Ltd., AVEVA Group plc, C3.AI Inc., SparkCognition Inc., Bidgely Inc.

North America was the largest region in the generative artificial intelligence (AI) in the utilities market in 2025. The regions covered in the generative artificial intelligence (AI) in utilities market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in utilities market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the generative AI in utilities market by raising costs for importing advanced sensors, servers, grid management software, and predictive analytics tools. Segments such as electricity generation, transmission and distribution, and renewable energy integration are particularly affected, especially in regions like North America, Europe, and Asia-Pacific where critical utility hardware is often imported. While tariffs have increased operational expenses and slowed deployment in certain areas, they have also encouraged local manufacturing, innovation in cost-efficient solutions, and development of in-house AI capabilities, helping utilities reduce dependency on imports.

The generative artificial intelligence (AI) in utilities market research report is one of a series of new reports that provides generative artificial intelligence (AI) in utilities market statistics, including generative artificial intelligence (AI) in utilities industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in utilities market share, detailed generative artificial intelligence (AI) in utilities market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in utilities industry. This generative artificial intelligence (AI) in utilities market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Generative artificial intelligence (AI) in utilities involves leveraging advanced AI algorithms to enhance and innovate various aspects of utility management. This includes applications such as predictive maintenance, forecasting energy consumption, optimizing smart grids, and integrating renewable energy sources. By analyzing extensive data sets, generative AI can boost efficiency, cut costs, and improve service reliability, helping utilities manage resources in a more effective and sustainable manner.

The main types of generative AI in utilities encompass electricity generation, transmission and distribution, customer engagement and energy efficiency, water and wastewater management, gas and oil utilities, and renewable energy integration. Electricity generation covers the production of electrical power from sources such as coal, natural gas, nuclear, solar, wind, and hydropower. Deployments of this technology include on-premises, cloud-based, hybrid, edge computing, collaborative, and customized in-house solutions, catering to various applications such as enhancing customer experiences, improving asset management, developing new products and services, and boosting safety.

The generative artificial intelligence (AI) in the utilities market includes revenues earned by entities through customer service automation, energy consumption forecasting, smart grid optimization, and load forecasting. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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