Generative Artificial Intelligence (AI) In Utilities Market Report 2026

Generative Artificial Intelligence (AI) In Utilities Market Overview

• Generative Artificial Intelligence (AI) In Utilities market size has reached to $1.4 billion in 2025 • Expected to grow to $6.62 billion in 2030 at a compound annual growth rate (CAGR) of 36.3% • Growth Driver: Rising Utilization Of Renewable Energy Sources Drives Generative AI In Utilities Market • Market Trend: Advancements In Unified AI Platforms to Transform The Energy Sector • North America was the largest region in 2025.

What Is Covered Under Generative Artificial Intelligence (AI) In Utilities Market?

Generative artificial intelligence (AI) in utilities refers to the use of advanced AI algorithms to optimize and innovate various aspects of utility management. It includes applications such as predictive maintenance, energy consumption forecasting, smart grid optimization, and renewable energy integration. Generative AI can improve efficiency, reduce costs, and enhance service reliability by analyzing vast amounts of data. This technology helps utilities manage resources more effectively and sustainably. The main types of generative artificial intelligence (AI) in utilities are electricity generation, transmission and distribution, customer engagement and energy efficiency, water and wastewater management, gas and oil utilities, and renewable energy integration. Electricity generation involves producing electrical power from various energy sources, such as coal, natural gas, nuclear, solar, wind, and hydropower. The various deployments include on-premises, cloud-based, hybrid, edge computing, collaborative, and customized in-house for varying applications such as creating personalized customer experiences, improving asset management, developing new products and services, improving safety, and others.

What Is The Generative Artificial Intelligence (AI) In Utilities Market Growth Forecast?

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.

Global Generative Artificial Intelligence (AI) In Utilities Market Segmentation

1) By Type: Electricity Generation, Transmission And Distribution, Customer Engagement And Energy Efficiency, Water And Wastewater Management, Gas And Oil Utilities, Renewable Energy Integration 2) By Deployment: On-Premises, Cloud-Based, Hybrid, Edge Computing, Collaborative, Customized In-House 3) By Application: Create Personalized Customer Experiences, Improve Asset Management, Develop New Products And Services, Improve Safety, Other Applications Subsegments: 1) By Electricity Generation: Predictive Maintenance For Power Plants, Energy Demand Forecasting, Load Balancing And Optimization, Grid Management Solutions 2) By Transmission And Distribution: Smart Grid Technologies, Fault Detection And Diagnostics, Real-Time Monitoring Systems, Asset Management Solutions 3) By Customer Engagement and Energy Efficiency: Personalized Energy Management Tools, Customer Behavior Analytics, Energy Usage Forecasting, Loyalty and Rewards Programs 4) By Water and Wastewater Management: Leak Detection and Monitoring Systems, Water Quality Analysis Tools, Demand Forecasting For Water Supply, Wastewater Treatment Optimization 5) By Gas and Oil Utilities: Pipeline Monitoring And Integrity Management, Leak Detection Technologies, Supply Chain Optimization, Predictive Maintenance For Equipment 6) By Renewable Energy Integration: Energy Storage Management, Integration Of Distributed Energy Resources (DERs), Microgrid Management Solutions, Renewable Energy Forecasting

What Is The Driver Of The Generative Artificial Intelligence (AI) In Utilities Market?

The increasing utilization of renewable energy sources is expected to propel the growth of generative artificial intelligence (AI) in the utilities market going forward. Renewable energy sources are natural resources that can be replenished naturally and used to generate energy, such as solar, wind, hydro, geothermal, and biomass. The use of renewable energy sources is rapidly increasing due to their scalability, decreasing costs, and widespread adoption. Generative artificial intelligence helps utilities, such as renewable energy sources, by providing sustainable data-driven insights for optimizing energy management and reducing reliance on fossil fuels. For instance, in February 2025, according to the World Resources Institute, a US-based non-profit research organization, solar power exceeded its 2023 record in 2024, with an estimated 39.6 GW of new capacity added, up from 27.4 GW the previous year. This brings total U.S. installed solar capacity to roughly 220 GW, supplying more than 7% of the country’s electricity. Therefore, increasing utilization of renewable energy sources is driving the growth of generative artificial intelligence (AI) in utilities industry.

Key Players In The Global Generative Artificial Intelligence (AI) In Utilities Market

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.

Global Generative Artificial Intelligence (AI) In Utilities Market Trends and Insights

Major companies operating in generative artificial intelligence (AI) in the utility market focus on providing real-time insights aligned with the trend of using data-driven approaches, such as a unified platform for the energy sector, to enhance operational efficiency and provide advanced data analytics for better decision-making. A unified platform for the energy sector is a comprehensive system that combines different technologies to optimize operations, boost data analysis, and support informed decision-making. For instance, in April 2024, Databricks Inc., a US-based data and AI company, launched a data intelligence platform. It features large language model (LLM)-powered chatbots for personalized user support, Internet of Things (IoT) predictive maintenance to optimize uptime and reduce costs, real-time data processing with digital twins, artificial intelligence (AI) or machine learning (ML) models for wind turbine maintenance, and grid-edge analytics to enhance grid performance and prevent outages. Additionally, the real-time data ingestion platform (RTDIP) offers a cloud-native framework for data standardization and predictive analytics.

What Are Latest Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Utilities Market?

In January 2023, Snowflake Inc., a US-based cloud computing-based data cloud company, acquired Myst AI Inc. for an undisclosed amount. The acquisition is part of Snowflake's strategy to build machine learning extensibility into its data cloud and enhance its time series forecasting capabilities. Myst AI Inc. is a US-based provider of generative AI technologies for electricity demand and forecasting.

Regional Insights

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

What Defines the Generative Artificial Intelligence (AI) In Utilities Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Generative Artificial Intelligence (AI) In Utilities Market Report 2026?

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