Artificial Intelligence in Energy Management Market
Artificial Intelligence in Energy Management Market Size, Share & Trends Analysis Report by Component Type (Solutions and Services), by Deployment Type (On-premise and Cloud), by Application (Energy Transmission, Energy Generation, Energy Distribution and Others), and by End Users (Robotics, Renewables Management, Demand Forecasting, Safety and Security and Others), Forecast Period (2025-2035)
Industry Outlook
Artificial intelligence in the energy management market is anticipated to grow at a CAGR of 15.5% during the forecast period (2025-2035). Artificial intelligence increases efficiency, optimizes resource allocation, and makes sustainable energy solutions possible. AI is revolutionizing the energy business. AI integration in the energy sector enables businesses to improve decision-making, forecast demand variations, and analyze massive information. Predictive analytics minimize waste and operational expenses by optimizing supply and demand. The real-time monitoring and automation made possible by AI-driven smart grid technology, energy transmission efficiency, and dependability are increased. In a region where even, minor inefficiencies can have a huge economic and environmental impact, these improvements are important.
Segmental Outlook
The global artificial intelligence in the energy management market is segmented by component type, deployment type, application, and end-users. Based on the component type, the market is sub-segmented into solutions and services. Based on the deployment type, the market is sub-segmented into on-premise and cloud. Based on the application, the market is sub-segmented into energy transmission, energy generation, energy distribution, and others (utilities). Further, based on end users, the market is sub-segmented into robotics, renewables management, demand forecasting, safety and security, and others (infrastructure). Among the applications, the energy generation sub-segment is anticipated to hold a considerable share of the market owing to the rise in the development of AI for the real-time monitoring of power grids, more accurate predictions of power fluctuations, and the development of new strategies to generate geothermal energy sources.
Renewables Management is Predicted to Grow Significantly in Global Artificial Intelligence in the Energy Management Market
Renewable energy management holds a significant market share in the global artificial intelligence market. The production and consumption of energy are being resolved by AI. The automation operations for solar panels, wind turbines, and others are being improved by artificial intelligence. By using historical data and weather trends to forecast energy generation, these technologies use powerful predictive analytics to improve supply and demand alignment.
As the adoption of renewable energy sources increases, robotics power rentals in substations and switchgear types are evolving as it is being used more frequently. The market for robotics AI in the energy sector is expanding owing to the trend toward modular and compact electrical applications, that allow for the incorporation of sophisticated features and functionalities into applications with limited space.
Global AI in Energy Management Market Share By End-User, 2024 (%)
Regional Outlook
The global artificial intelligence in energy management market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, Australia & New Zealand, ASEAN Countries and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to increased applications of artificial intelligence in the energy sector, along with real-time maintenance and identification of ideal maintenance schedules.
The European Region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence in Energy Management Market
Europe's energy market's use of AI is significantly impacted by strict regulations meant to cut carbon emissions and a strong commitment to sustainability. AI technologies are being aggressively adopted by European nations to improve energy efficiency and make it easier for their grids to include renewable energy sources. Clean energy-related government programs and policies are powerful inducers for investment in AI-powered solutions that help utilities increase grid flexibility, optimize operations, and better control demand. In the UK, the market is derived from the urgent need for sustainability and the transition to renewable energy sources. An increasing number of AI technologies are being used to optimize energy generation, improve demand forecasting, and improve grid management as the UK works to cut carbon emissions and reach net-zero targets.
Market Players Outlook
The major companies serving artificial intelligence in the energy management market include Schneider Electric SE, GE Vernova, Siemens AG, ABB Ltd., and Honeywell International Inc., among others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in April 2023, to improve energy access forecasting and model energy equity, IBM and the United Nations Development Programme (UNDP) announced the creation of new tools. As a component of the IBM Sustainability Accelerator program, this partnership makes use of innovative technologies such as IBM Watson, IBM Cloud, and IBM Environmental Intelligence. These resources are intended to aid in the pursuit of fair energy distribution and the resolution of the obstacles that vulnerable groups encounter in obtaining energy.
Recent Developments
- In December 2024, AI-powered energy grid management systems had advanced significantly for Energy Infrastructure Predictive Maintenance. These systems use machine learning technologies to maximize energy distribution across grids in real time and forecast energy demand. In regions with variable renewable power, including wind and solar, AI integration helps with demand forecasting, energy outage prevention, and the integration of renewable energy sources.
- In September 2024, the grid's integration of renewable energy sources like wind and solar will be aided by artificial intelligence. Forecasting weather patterns, measuring solar radiation, and optimizing wind farm efficiency are all being done with artificial intelligence (AI). To reduce dependency on fossil fuels and improve the reliability and efficiency of sustainable energy sources, several projects were launched to integrate AI with renewable energy infrastructure.
The Report Covers
- Market value data analysis of 2025 and forecast to 2035.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global AI in energy management market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
1. Report Summary
• Current Industry Analysis and Growth Potential Outlook
• Global AI in Energy Management Market Sales Analysis – Component Type | Deployment Mode| Application| End-User ($ Million)
1.1. Research Methodology
• Primary Research Approach
• Secondary Research Approach
2. Market Overview and Insights
2.1. Scope of the Study
2.2. Analyst Insight & Current Market Trends
2.2.1. Key Global AI in Energy Management Market Trends
2.2.2. Market Recommendations
2.2.3. Conclusion
3. Market Determinants
3.1. Market Drivers
3.1.1. Drivers For Global AI in Energy Management Market: Impact Analysis
3.2. Market Pain Points and Challenges
3.2.1. Restraints For Global AI in Energy Management Market: Impact Analysis
3.3. Market Opportunities
4. Competitive Landscape
4.1. Competitive Dashboard – Global AI in Energy Management Market Revenue by Manufacturers
4.2. Key Company Analysis
4.2.1. Overview
4.2.2. Product Portfolio
4.2.3. Financial Analysis (Subject to Data Availability)
4.2.4. SWOT Analysis
4.2.5. Business Strategy
4.3. Top Winning Strategies by Market Players
4.3.1. Merger and Acquisition
4.3.2. Product Launch
4.3.3. Partnership And Collaboration
5. Global AI in Energy Management Market by Component ($ Million)
5.1. Solutions
5.2. Services
6. Global AI in Energy Management Market by Deployment Type ($ Million)
6.1. On-premise
6.2. Cloud
7. Global AI in Energy Management Market by Application ($ Million)
7.1. Energy Transmission
7.2. Energy Generation
7.3. Energy Distribution
7.4. Others
8. Global AI in Energy Management Market by End-User ($ Million)
8.1. Robotics
8.2. Renewables Management
8.3. Demand Forecasting
8.4. Safety and Security
8.5. Others
9. Regional Analysis
9.1. North American AI in Energy Management Market Sales Analysis Component Type | Deployment Mode| Application| End-User | Country ($ Million)
9.1.1. United States
9.1.2. Canada
9.2. European AI in Energy Management Market Sales Analysis Component Type | Deployment Mode| Application| End- User | Country ($ Million)
9.2.1. UK
9.2.2. Germany
9.2.3. Italy
9.2.4. Spain
9.2.5. France
9.2.6. Russia
9.2.7. Rest of Europe
9.3. Asia-Pacific Global AI in Energy Management Market Sales Analysis Component Type | Deployment Mode| Application| End-User | Country ($ Million)
9.3.1. China
9.3.2. Japan
9.3.3. South Korea
9.3.4. India
9.3.5. Australia & New Zealand
9.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And Other)
9.3.7. Rest of Asia-Pacific
9.4. Rest of the World AI in Energy Management Market Sales Analysis Component Type | Deployment Mode| Application| End-User | Country ($ Million)
9.4.1. Latin America
9.4.2. Middle East and Africa
10. Company Profiles
10.1. AutoGrid Systems, Inc.
10.2. Aveva Group Ltd.
10.3. BIDGELY Inc.
10.4. BrAInBox AI
10.5. C3.AI Inc.
10.6. Dubai Electricity and Water Authority (PJSC)
10.7. Duke Energy Corp.
10.8. Enel Italia S.p.a.
10.9. Fluence Energy, LLC
10.10. GE Vernova Group
10.11. Iberdrola, S.A.
10.12. Intel Corp.
10.13. N-iX LTD.
10.14. Omdena Inc.
10.15. SAP SE
10.16. Schneider Electric
10.17. Southern Company
10.18. SparkCognition, Inc.
10.19. Stem, Inc.
10.20. Uplight, Inc.
1. Global AI In Energy Management Market Research And Analysis By Component Type, 2024-2035 ($ Million)
2. Global AI In Energy Management Solution Market Research And Analysis By Region, 2024-2035 ($ Million)
3. Global AI In Energy Management Services Market Research And Analysis By Region, 2024-2035 ($ Million)
4. Global AI In Energy Management Market Research And Analysis By Deployment Type, 2024-2035 ($ Million)
5. Global On-Premises AI In Energy Management Market Research And Analysis By Region, 2024-2035 ($ Million)
6. Global Cloud AI In Energy Management Market Research And Analysis By Region, 2024-2035 ($ Million)
7. Global AI In Energy Management Market Research And Analysis By End-User, 2024-2035 ($ Million)
8. Global AI In Energy Management For Robotics Market Research And Analysis By Region, 2024-2035 ($ Million)
9. Global AI In Energy Management For Renewables Management Market Research And Analysis By Region, 2024-2035 ($ Million)
10. Global AI In Energy Management For Demand Forecasting Market Research And Analysis By Region, 2024-2035 ($ Million)
11. Global AI In Energy Management For Safety and Security Market Research And Analysis By Region, 2024-2035 ($ Million)
12. Global AI In Energy Management For Other End–User Market Research And Analysis By Region, 2024-2035 ($ Million)
13. Global AI In Energy Management Market Research And Analysis By Application, 2024-2035 ($ Million)
14. Global AI In Energy Management For Energy Generation Market Research And Analysis By Region, 2024-2035 ($ Million)
15. Global AI In Energy Management For Energy Transmission Market Research And Analysis By Region, 2024-2035 ($ Million)
16. Global AI In Energy Management For Energy Distribution Market Research And Analysis By Region, 2024-2035 ($ Million)
17. Global AI In Energy Management For Other Application Market Research And Analysis By Region, 2024-2035 ($ Million)
18. Global AI In Energy Management Market Research And Analysis By Region, 2024-2035 ($ Million)
19. North American AI In Energy Management Market Research And Analysis By Country, 2024-2035 ($ Million)
20. North American AI In Energy Management Market Research And Analysis By Component Type, 2024-2035 ($ Million)
21. North American AI In Energy Management Market Research And Analysis By Deployment Type, 2024-2035 ($ Million)
22. North American AI In Energy Management Market Research And Analysis By End-User, 2024-2035 ($ Million)
23. North American AI In Energy Management Market Research And Analysis By Application, 2024-2035 ($ Million)
24. European AI In Energy Management Market Research And Analysis By Country, 2024-2035 ($ Million)
25. European AI In Energy Management Market Research And Analysis By Component Type, 2024-2035 ($ Million)
26. European AI In Energy Management Market Research And Analysis By Deployment Type, 2024-2035 ($ Million)
27. European AI In Energy Management Market Research And Analysis By End-User, 2024-2035 ($ Million)
28. European AI In Energy Management Market Research And Analysis By Application, 2024-2035 ($ Million)
29. Asia-Pacific AI In Energy Management Market Research And Analysis By Country, 2024-2035 ($ Million)
30. Asia-Pacific AI In Energy Management Market Research And Analysis By Component Type, 2024-2035 ($ Million)
31. Asia-Pacific AI In Energy Management Market Research And Analysis By Deployment Type, 2024-2035 ($ Million)
32. Asia-Pacific AI In Energy Management Market Research And Analysis By End-User, 2024-2035 ($ Million)
33. Asia-Pacific AI In Energy Management Market Research And Analysis By Application, 2024-2035 ($ Million)
34. Rest Of The World AI In Energy Management Market Research And Analysis By Region, 2024-2035 ($ Million)
35. Rest Of The World AI In Energy Management Market Research And Analysis By Component Type, 2024-2035 ($ Million)
36. Rest Of The World AI In Energy Management Market Research And Analysis By Deployment Type, 2024-2035 ($ Million)
37. Rest Of The World AI In Energy Management Market Research And Analysis By End-User, 2024-2035 ($ Million)
38. Rest Of The World AI In Energy Management Market Research And Analysis By Application, 2024-2035 ($ Million)
1. Global AI In Energy Management Market Share By Component Type, 2024 Vs 2035 (%)
2. Global AI In Energy Management Solution Market Share By Region, 2024 Vs 2035 (%)
3. Global AI In Energy Management Services Market Share By Region, 2024 Vs 2035 (%)
4. Global AI In Energy Management Market Share By Deployment Type, 2024 Vs 2035 (%)
5. Global On-Premises AI In Energy Management Market Share By Region, 2024 Vs 2035 (%)
6. Global Cloud AI In Energy Management Market Share By Region, 2024 Vs 2035 (%)
7. Global AI In Energy Management Market Share By End-User, 2024 Vs 2035 (%)
8. Global AI In Energy Management For Robotics Market Share By Region, 2024 Vs 2035 (%)
9. Global AI In Energy Management For Renewables Management Market Share By Region, 2024 Vs 2035 (%)
10. Global AI In Energy Management For Demand Forecasting Market Share By Region, 2024 Vs 2035 (%)
11. Global AI In Energy Management For Safety and Security Market Share By Region, 2024 Vs 2035 (%)
12. Global AI In Energy Management For Others Robotics Market Share By Region, 2024 Vs 2035 (%)
13. Global AI In Energy Management Market Share By Application, 2024 Vs 2035 (%)
14. Global AI In Energy Management For Energy Generation Market Share By Region, 2024 Vs 2035 (%)
15. Global AI In Energy Management For Energy Transmission Market Share By Region, 2024 Vs 2035 (%)
16. Global AI In Energy Management For Energy Distribution Market Share By Region, 2024 Vs 2035 (%)
17. Global AI In Energy Management For Other Application Market Share By Region, 2024 Vs 2035 (%)
18. Global AI In Energy Management Market Share By Region, 2024 Vs 2035 (%)
19. US AI In Energy Management Market Size, 2024-2035 ($ Million)
20. Canada AI In Energy Management Market Size, 2024-2035 ($ Million)
21. UK AI In Energy Management Market Size, 2024-2035 ($ Million)
22. France AI In Energy Management Market Size, 2024-2035 ($ Million)
23. Germany AI In Energy Management Market Size, 2024-2035 ($ Million)
24. Italy AI In Energy Management Market Size, 2024-2035 ($ Million)
25. Spain AI In Energy Management Market Size, 2024-2035 ($ Million)
26. Russia AI In Energy Management Market Size, 2024-2035 ($ Million)
27. Rest Of Europe AI In Energy Management Market Size, 2024-2035 ($ Million)
28. India AI In Energy Management Market Size, 2024-2035 ($ Million)
29. China AI In Energy Management Market Size, 2024-2035 ($ Million)
30. Japan AI In Energy Management Market Size, 2024-2035 ($ Million)
31. South Korea AI In Energy Management Market Size, 2024-2035 ($ Million)
32. ASEAN Countries AI In Energy Management Market Size, 2024-2035 ($ Million)
33. Australia & New Zealand AI In Energy Management Market Size, 2024-2035 ($ Million)
34. Rest Of Asia-Pacific AI In Energy Management Market Size, 2024-2035 ($ Million)
35. Rest Of The World AI In Energy Management Market Size, 2024-2035 ($ Million)
36. Latin America AI In Energy Management Market Size, 2024-2035 ($ Million)
37. Middle East And Africa AI In Energy Management Market Size, 2024-2035 ($ Million)
FAQS
The size of the Artificial Intelligence in Energy Management market in 2024 is estimated to be around USD 8.91 billion.
European holds the largest share in the Artificial Intelligence in Energy Management market.
Leading players in the Artificial Intelligence in Energy Management market include chneider Electric SE, GE Vernova, Siemens AG, ABB Ltd., and Honeywell International Inc., among others.
Artificial Intelligence in Energy Management market is expected to grow at a CAGR of 15.5% from 2025 to 2035.
Rising energy efficiency demands, smart grid adoption, and AI-driven predictive analytics are key drivers of the Artificial Intelligence in Energy Management Market growth.