Artificial Intelligence (AI) in Energy And Power Market Report 2026

Artificial Intelligence (AI) in Energy And Power Market Overview

• Artificial Intelligence (AI) in Energy And Power market size has reached to $6.45 billion in 2025 • Expected to grow to $18.31 billion in 2030 at a compound annual growth rate (CAGR) of 23.2% • Growth Driver: Surging Investments In Energy Sector Fueling The Growth Of Artificial Intelligence (AI) In Energy And Power Market • Market Trend: Revolutionizing Renewable Energy Purchases With AI-Driven Gridmatic Retail • North America was the largest region in 2025 and Europe is the fastest growing region.

The key promising market opportunities in the artificial intelligence (ai) in energy and power market include: • Commercial And Industrial (Segmentation By End-User) → Expected gain of $9196.82 Million • Machine Learning (Segmentation By Technology) → Expected gain of $5997.07 Million • Demand Forecasting (Segmentation By Application) → Expected gain of $3531.65 Million

What Is Covered Under Artificial Intelligence (AI) in Energy And Power Market?

Artificial intelligence (AI) in energy and power refers to the use of AI technologies to optimize energy systems, reduce costs, and improve efficiency in the energy and power markets. It has been used to improve predictions of supply and demand, optimize renewable energy systems, such as wind and solar power, and optimize energy production, such as oil and gas exploration and production. The main types of technologies in artificial intelligence (AI) in energy and power are machine learning, natural language processing and computer vision. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to improve their performance on a specific task over time without being explicitly programmed. It is used in various applications, including demand forecasting, energy production and distribution optimization, energy management, smart grids, smart meter and others and end users are commercial, industrial, and residential.

What Is The Artificial Intelligence (AI) in Energy And Power Market Growth Forecast?

The artificial intelligence (AI) in energy and power market size is expected to see exponential growth in the next few years. It will grow to $18.31 billion in 2030 at a compound annual growth rate (CAGR) of 23.2%. The growth in the forecast period can be attributed to growth in AI driven grid automation, rising adoption of distributed energy resources, increasing need for real time load balancing, expansion of AI based energy analytics platforms, advancement in machine learning models for energy optimization. Major trends in the forecast period include growing use of AI for demand forecasting optimization, increasing adoption of AI enabled smart grid systems, rising deployment of AI in renewable energy integration, expansion of AI based energy management solutions, enhanced use of AI for power distribution and load balancing.

What Is The Driver Of The Artificial Intelligence (AI) in Energy And Power Market?

The growing investments in energy sectors are expected to propel the growth of artificial intelligence (AI) in the energy and power market going forward. Investments refer to the allocation of resources, typically money, with the expectation of generating a return or profit over time. The energy and power sectors have been using investments to leverage artificial intelligence (AI) in various ways to improve decision-making, optimize operations, improve energy management, and enhance the dependability and quality of services in the industry. For instance, in October 2025, according to the International Energy Agency, a France-based intergovernmental organization, capital investments in the energy sector are projected to increase in 2025, reaching USD 3.3 trillion, representing a 2% real-term growth compared to 2024. Therefore, the growing investments in energy sectors are driving the growth of artificial intelligence (AI) in the energy and power market.

How Will The Drivers Impact Growth In The Global Artificial Intelligence (AI) in Energy And Power Market?

• Increasing Need for Energy Efficiency and Optimization (Medium) – The increasing need for energy efficiency and optimization will become a key driver of growth in the artificial intelligence (AI) in energy and power market by 2030. The growing demand for energy efficiency is pushing utilities and industries to adopt AI solutions that can monitor, analyse, and optimize energy systems automatically. AI algorithms enhance operational efficiency by identifying inefficiencies and continuously adjusting systems to minimize waste and improve performance. This transition toward intelligent optimization is helping organizations meet sustainability goals while reducing operational costs, thereby strengthening the long-term adoption of AI in the energy and power sector. As a result, the increasing need for energy efficiency and optimization is anticipated to contributing to a 1.7% annual growth in the market. • The Rising Deployment of Smart Grids and Smart Meters (Medium) – The rising deployment of smart grids and smart meters will emerge as a major factor driving the expansion of the artificial intelligence (AI) in energy and power market by 2030. The expansion of smart grids and advanced metering infrastructure is generating vast amounts of real-time data essential for AI-driven insights. AI enables smarter grid management, better load balancing and predictive maintenance using this data. As more regions digitize their electricity networks, AI applications in energy forecasting, demand response and outage management will become increasingly integrated into everyday grid operations, driving the market forward. Consequently, the rising deployment of smart grids and smart meters is projected to contributing to a 1.2% annual growth in the market. • The Escalating Carbon Emission Reduction Efforts (Low) – The escalating carbon emission reduction efforts as a major factor driving the expansion of the artificial intelligence (AI) in energy and power market by 2030. Global decarbonization goals are driving energy providers to integrate AI for monitoring, analysing, and minimizing emissions. AI assists in optimizing renewable integration, tracking carbon output, and automating low-carbon energy management decisions. As governments and corporations tighten emission standards, the use of AI to manage cleaner and more efficient energy systems will become central to achieving climate targets. Consequently, escalating carbon emission reduction efforts is projected to contributing to a 0.7% annual growth in the market. • The Shift to Renewable Energy Sources (Low) – The shift to renewable energy sources will emerge as a major factor driving the expansion of the artificial intelligence (AI) in energy and power market by 2030. The increasing share of renewables is transforming energy systems and creating a need for intelligent coordination. AI supports this shift by improving forecasting, optimizing grid stability, and ensuring efficient resource utilization across distributed assets. Its ability to manage variability and enhance the integration of renewables will make AI indispensable in achieving reliable, sustainable energy transitions. AI improves short-term and day-ahead forecasts for renewable generation, predicts curtailment risk, optimizes battery charge and discharge to capture market opportunities and controls inverter or plant behaviour to support grid stability, functions that scale poorly with rule-based systems but fit naturally with ML and probabilistic approaches. Consequently, the shift to renewable energy sources is projected to contributing to a 0.5% annual growth in the market.

How Will The Restraints Impact Growth In The Global Artificial Intelligence (AI) in Energy And Power Market?

• High Implementation and Integration Costs (Medium) – High Implementation and Integration Costs will restrict the growth of the Artificial Intelligence (AI) In Energy And Power market during the forecast period. AI implementation in energy requires significant investment in hardware, software, and integration with existing grid and plant systems. High upfront costs create barriers for smaller utilities and energy companies with limited budgets. Cost constraints can delay AI adoption and limit market growth. • Interoperability and Standardization Challenges (Low) – Interoperability and Standardization Challenges will restrict the growth of the Artificial Intelligence (AI) In Energy And Power market during the forecast period. AI energy solutions face challenges in interoperability between different systems, data formats, and protocols. Lack of standardization complicates integration and data sharing between energy platforms. Interoperability issues can increase implementation costs and limit the effectiveness of AI energy solutions. • Impact of Trade War and Tariff (Low) – Impact of Trade War and Tariff will restrict the growth of the Artificial Intelligence (AI) In Energy And Power market during the forecast period. Trade tensions and economic uncertainty can affect investment in energy technology and AI solutions. Reduced energy sector spending during trade disputes may limit AI adoption. Trade barriers may also impact the availability of AI hardware and software for energy applications.

Key Players In The Global Artificial Intelligence (AI) in Energy And Power Market

Major companies operating in the artificial intelligence (AI) in energy and power market are Google LLC, Microsoft Corporation, Mitsubishi Electric Corporation, Bosch.IO, Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc., C3.AI Inc., Vayyar Imaging Ltd., Uptake Technologies Inc., Verdigris Technologies Inc., Aurora Solar Technologies, SenseHawk

Global Artificial Intelligence (AI) in Energy And Power Market Trends and Insights

Major companies operating in artificial intelligence (AI) in the energy and power markets are developing innovative AI advancements, such as gridmatic retail, to meet the advanced energy needs of commercial customers. An AI-enabled power marketer to optimize clean energy purchasing and provide predictability and automation for commercial and industrial customers with advanced energy needs. For instance, in January 2023, Gridmatic, an AI-enabled power marketer, recently unveiled Gridmatic Retail to streamline the purchase of renewable energy while offering predictability and automation to business and industrial clients. It offers next-generation retail energy products, including time-matched renewables, 24/7 carbon-free energy, and load variability contracts. Additionally, it accelerates the transition to net zero and balances the renewable-powered grid by using its industry AI to offer the most advanced, time-matched renewable contracts and custom products for customers with variable and complex energy needs.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) in Energy And Power Market?

In January 2024, Electric Power Engineers, LLC, a US–based provider of utility engineering, grid integration, and energy-transition consulting services, acquired ENER-i.AI for an undisclosed amount. With this acquisition, Electric Power Engineers aims to integrate ENER-i.AI’s advanced SaaS energy-intelligence platform into its service portfolio to enhance grid-planning and operations-optimization capabilities. ENER-i.AI is a US–based provider of software-as-a-service solutions for energy intelligence, including its ENER-i Energy Intelligence Platform and ENER-i InSights tools for modern power-grid planning and operation.

What Defines the Artificial Intelligence (AI) in Energy And Power Market?

Artificial intelligence (AI) in the energy and power market includes revenues earned by entities by providing services such as smart grid management, renewable energy forecasting, grid management and optimization, and energy trading. 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 artificial intelligence (AI) in the energy and power market consists of sales of smart meters, energy storage systems, building energy management systems, and distribution management systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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 Artificial Intelligence (AI) in Energy And Power Market Report 2026?

The artificial intelligence (ai) in energy and power 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 artificial intelligence (ai) in energy and power 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.