AI in Energy Market Size to Reach USD 77.25 Billion in 2032
The AI in energy market size reached USD 8.34 Billion in 2024 and is expected to register a revenue CAGR of 32.8% during the forecast period.
March 06, 2025 – Increasing adoption of smart grid energy distribution is the key factor driving revenue growth of AI in energy market. Smart grids integrate artificial intelligence to optimize energy flow, predict demand patterns, and enhance grid resilience. It reduces energy losses and improves overall efficiency. Utilities and energy providers are investing in AI-driven solutions for real-time monitoring, fault detection, and automated energy distribution to minimize downtime and operational costs. According to the International Energy Agency (IEA), the number of patents related to integrating artificial intelligence into power grids has surged six times in recent years. The United States and China are at the forefront of AI-driven smart grid advancements, leading innovation in this rapidly evolving sector.
In May 2024, Iberdrola is spearheading the AI Innovation Data Space (i-DS) initiative, aimed at maximizing data utilization to optimize power grids. This project focuses on leveraging artificial intelligence to accelerate data processing and enhance decision-making in distribution networks. Iberdrola is improving grid efficiency, minimizing downtime, and ensuring a more reliable energy supply by integrating AI-driven analytics. This advancement is driving revenue growth in the AI energy market by increasing demand for AI-powered grid management solutions.
However, data privacy and security concerns is restraining revenue growth of the market. AI-driven solutions rely on vast amounts of sensitive data from smart grids, power plants, and consumer energy usage. The risk of cyber threats, unauthorized access, and data breaches raises significant regulatory and compliance issues, leading to increased costs for securing AI infrastructure. Utilities and energy firms need to invest heavily in cybersecurity measures. It slows AI adoption and delays potential revenue growth of the market.
Key Highlights:
- Industrial segment accounted for largest revenue share in 2024 due to the increasing adoption of AI-powered solutions to enhance energy efficiency, reduce operational costs, and optimize production processes. Industries such as manufacturing, oil & gas, and heavy engineering rely on AI for real-time energy management, predictive maintenance, and automation of complex energy-intensive operations. Additionally, the push toward sustainability and carbon reduction is encouraging industries to invest in AI solutions for energy optimization and regulatory compliance.
- Predictive maintenance segment accounted for significant revenue share in 2024. AI-powered predictive maintenance enables energy companies to detect equipment failures before they occur, minimizing downtime and costly repairs. Utilities and power plant operators are investing in AI-driven solutions to monitor critical infrastructure, such as transformers, turbines, and pipelines, ensuring optimal performance and extending asset lifespan.
- North America accounted for largest revenue share in 2024 in the AI in energy market due to the increasing investments in smart grid modernization, renewable energy integration, and advanced energy management solutions. Government initiatives, such as the U.S. Department of Energy’s AI-focused programs and Canada’s multi-billion-dollar investment in AI infrastructure, are further fueling revenue growth of the market in this region. In December 2024, Canadian Sovereign AI Compute Strategy was officially introduced, with an investment of up to USD 2 billion, as outlined in Budget 2024. This initiative aims to achieve three primary objectives.
- Some major companies in the global market report include Siemens Energy, General Electric, Schneider Electric, ABB Group, Atos SE, Iberdrola, DeepMind (Google), Stem, Inc., AppOrchid Inc., Green Factory AI, C3.ai, Inc., Uplight, Inc, On.Energy, Energy X, and Others
- On 06 January 2025, ABB has formed a strategic partnership with Edgecom Energy, a Toronto-based energy management startup. Edgecom Energy’s innovative platform leverages artificial intelligence to assist industrial and commercial users in optimizing their power consumption and minimizing peak demand. Notably, it is the first solution in the market to integrate a generative AI copilot, enhancing user experience and efficiency in energy management.
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Navistrat Analytics has segmented global AI in energy market on the basis of component, deployment, technology, application, end-use and region:
- Component (Revenue, USD Billion; 2022-2032)
- Solution
- AI Platforms
- AI Analytics Tools
- Others
- Services
- Deployment & Integration
- Support & Maintenance
- Consulting Service
- Solution
- Deployment Outlook (Revenue, USD Billion; 2022-2032)
- On-Premises
- Cloud-Based
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Technology Outlook (Revenue, USD Billion; 2022-2032)
- Machine Learning (ML)
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Robotic Process Automation (RPA)
- Others
- Application Outlook (Revenue, USD Billion; 2022-2032)
- Grid Management & Optimization
- Smart Grids
- Load Balancing
- Demand Response
- Predictive maintenance
- Energy Demand Forecasting
- Energy Trading & Pricing Optimization
- Renewable Energy Optimization
- Smart Meter Analytics
- Carbon Emission Monitoring & Reduction
- Fraud Detection & Risk Management
- Others
- Grid Management & Optimization
- End-Use Outlook (Revenue, USD Billion; 2022-2032)
- Residential
- Commercial
- Industrial
- Regional Outlook (Revenue, USD Billion; 2022-2032)
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Benelux
- Nordic Countries
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Oceania
- ASEAN Countries
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- GCC Countries
- South Africa
- Israel
- Turkey
- Rest of MEA
- North America