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Global Artificial Intelligence (AI)-Powered Smart Grid Market Report 2026
Published :February 2026
Pages :250
Format :PDF
Delivery Time :2-3 Business Days
Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.
Report Price :$4,490.00

Artificial Intelligence (AI)-Powered Smart Grid Market Report 2026

Global Outlook – By Component (Hardware, Software, Services), By Deployment Model (On-Premise Artificial Intelligence (AI)-Powered Grid Solutions, Cloud-Based Artificial Intelligence (AI)-Powered Grid Solutions, Hybrid Deployment Solutions), By Solution Type (Artificial Intelligence (AI)-Based Grid Analytics Solutions, Predictive Maintenance And Fault Detection Solutions, Demand Forecasting And Optimization Solutions, Real-Time Grid Monitoring And Control Solutions, Cloud Computing And Data Management Solutions, Cybersecurity And Risk Management Solutions, Integration, Consulting And Managed Services), By Application (Energy Distribution Optimization– Market Size, Trends, Strategies, and Forecast to 2035

Artificial Intelligence (AI)-Powered Smart Grid Market Overview

Artificial intelligence (AI)-Powered Smart Grid market size has reached to $6.62 billion in 2025 • Expected to grow to $12.79 billion in 2030 at a compound annual growth rate (CAGR) of 14.1% • Growth Driver: The Rise In Adoption Of Renewable Energy Sources Driving The Growth Of Due To Environmental Concerns And Climate Change • Market Trend: AI Integration Transforms Grid Operations And Outage Management • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI)-Powered Smart Grid Market?

An artificial intelligence(AI)-powered smart grid is an advanced electricity network that uses AI algorithms to analyze data from sensors, meters, and grid assets in real time. It helps to optimize grid operations by improving demand forecasting, fault detection, and energy distribution efficiency. It enables self-healing networks, better integration of renewable energy, and enhanced reliability and resilience of the power grid. The main components of artificial intelligence (AI)-powered smart grids include hardware, software, and services. Hardware refers to physical devices and equipment that enable monitoring, control, and automation of the power grid, supporting AI-driven analytics and decision-making for improved efficiency and reliability. These solutions can be deployed through on-premise AI-powered grid solutions, cloud-based AI-powered grid solutions, or hybrid deployment solutions and include solution types such as AI-based grid analytics solutions, predictive maintenance and fault detection solutions, demand forecasting and optimization solutions, real-time grid monitoring and control solutions, cloud computing and data management solutions, cybersecurity and risk management solutions, and integration, consulting, and managed services. The various applications involved are energy distribution optimization, demand response management, predictive maintenance, and other applications. The end users of AI-powered smart grids include utilities, industrial, and commercial and residential.
Artificial Intelligence (AI)-Powered Smart Grid market report bar graph

What Is The Artificial Intelligence (AI)-Powered Smart Grid Market Size and Share 2026?

The artificial intelligence (AI)-powered smart grid market size has grown rapidly in recent years. It will grow from $6.62 billion in 2025 to $7.54 billion in 2026 at a compound annual growth rate (CAGR) of 13.9%. The growth in the historic period can be attributed to aging grid infrastructure modernization needs, increasing electricity demand growth, early smart meter deployments, government smart grid pilot programs, rising power outage incidents.

What Is The Artificial Intelligence (AI)-Powered Smart Grid Market Growth Forecast?

The artificial intelligence (AI)-powered smart grid market size is expected to see rapid growth in the next few years. It will grow to $12.79 billion in 2030 at a compound annual growth rate (CAGR) of 14.1%. The growth in the forecast period can be attributed to renewable energy integration complexity, electric vehicle charging load growth, AI-driven grid automation investments, cybersecurity resilience requirements, decentralized energy resource expansion. Major trends in the forecast period include ai-based load forecasting optimization, self-healing grid automation, predictive asset maintenance analytics, real-time grid monitoring platforms, advanced demand response management.
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Global Artificial Intelligence (AI)-Powered Smart Grid Market Segmentation

1) By Component: Hardware, Software, Services 2) By Deployment Model: On-Premise Artificial Intelligence (AI)-Powered Grid Solutions, Cloud-Based Artificial Intelligence (AI)-Powered Grid Solutions, Hybrid Deployment Solutions 3) By Solution Type: Artificial Intelligence (AI)-Based Grid Analytics Solutions, Predictive Maintenance And Fault Detection Solutions, Demand Forecasting And Optimization Solutions, Real-Time Grid Monitoring And Control Solutions, Cloud Computing And Data Management Solutions, Cybersecurity And Risk Management Solutions, Integration, Consulting And Managed Services 4) By Application: Energy Distribution Optimization, Demand Response Management, Predictive Maintenance, Other Application 5) By End-Use: Utilities, Industrial, Commercial And Residential Subsegments: 1) By Hardware: Smart Sensors, Edge Computing Devices, Communication Modules, Control And Protection Equipment, Data Storage Devices 2) By Software: Grid Analytics Platforms, Artificial Intelligence And Machine Learning Platforms, Energy Management Systems, Grid Monitoring And Visualization Software, Optimization And Decision Support Software 3) By Services: Integration Services, Consulting Services, Managed Services

What Is The Driver Of The Artificial Intelligence (AI)-Powered Smart Grid Market?

The growing adoption of renewable energy sources is expected to propel the growth of the artificial intelligence-powered smart grid market going forward. Renewable energy sources are natural resources that can be replenished naturally and used to generate energy, such as sunlight, wind, water, and biomass. The growing adoption of renewable energy sources is primarily driven by environmental concerns and climate change, as countries and organizations seek to reduce greenhouse gas emissions, minimize pollution, and transition to sustainable, low-carbon energy systems. Artificial intelligence-powered smart grids enhance the integration of renewable energy sources by intelligently forecasting generation, optimizing energy distribution, and balancing supply and demand in real time. For instance, in December 2024, according to Eurostat, a Luxembourg-based government agency, in 2023, renewable energy represented 24.5% of total energy consumption in the EU, up from 23.0% in 2022. Therefore, the growing adoption of renewable energy sources is driving the growth of the artificial intelligence-powered smart grid market.

Key Players In The Global Artificial Intelligence (AI)-Powered Smart Grid Market

Major companies operating in the artificial intelligence (AI)-powered smart grid market are International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., Siemens Energy AG, GE Vernova Inc., ABB Ltd., Eaton Corporation plc, Octopus Energy Group Ltd., Itron Inc., Bentley Systems Incorporated, C3.ai Inc., Fluentgrid Limited, Innowatts Inc., Utilidata Inc, Percepto Robotics Ltd., Net2Grid B.V., Radix IoT LLC, and Esyasoft Holding Limited.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Smart Grid Market?

In March 2025, Bidgely Inc., a US-based energy intelligence company, acquired Grid4C for an undisclosed amount. Through this acquisition, Bidgely strengthens its AI-powered energy analytics platform to enhance grid-side management, optimize distributed energy resources, and deliver predictive insights for improved consumer engagement and operational efficiency. Grid4C Ltd. is a US-based software company specializing in AI-powered smart grid solutions for predictive analytics, grid optimization, and distributed energy resource management.

Regional Outlook

North America was the largest region in the artificial intelligence-powered smart grid market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. 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.

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What Defines the Artificial Intelligence (AI)-Powered Smart Grid Market?

The artificial intelligence (AI)-powered smart grid market consists of revenues earned by entities by providing services such as grid data analytics services, predictive maintenance services, load forecasting services, demand response management services, grid optimization services, energy management services, system integration and deployment services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered smart grid market includes sales of machine learning and analytics platforms, intelligent grid controllers, smart sensors and meters with embedded AI, and predictive maintenance 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)-Powered Smart Grid Market Report 2026?

The artificial intelligence (ai)-powered smart grid 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)-powered smart grid 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.

Artificial Intelligence (AI)-Powered Smart Grid Market Report Forecast Analysis

Report Attribute Details
Market Size Value In 2026$7.54 billion
Revenue Forecast In 2035$12.79 billion
Growth RateCAGR of 13.9% from 2026 to 2035
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030 - 2035
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2035
Segments CoveredComponent, Deployment Model, Solution Type, Application, End-Use
Regional ScopeAsia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Country ScopeThe countries covered in the report are Australia, Brazil, China, France, Germany, India, ...
Key Companies ProfiledInternational Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., Siemens Energy AG, GE Vernova Inc., ABB Ltd., Eaton Corporation plc, Octopus Energy Group Ltd., Itron Inc., Bentley Systems Incorporated, C3.ai Inc., Fluentgrid Limited, Innowatts Inc., Utilidata Inc, Percepto Robotics Ltd., Net2Grid B.V., Radix IoT LLC, and Esyasoft Holding Limited.
Customization ScopeRequest for Customization
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