Summary

The Global Artificial Intelligence in Energy Market is estimated to be valued at around USD 11.3 billion in 2024 and is projected to expand at a robust CAGR of 30.20% over the forecast period 2025 to 2035. As the world accelerates its transition to smart grids and low-carbon economies, AI is steadily transforming how energy is produced, distributed, and consumed. From predictive analytics to intelligent automation, artificial intelligence has entrenched itself as a catalyst for operational efficiency and cost reduction across the global energy value chain. The ability of AI to synthesize vast datasets, identify patterns, and act on real-time anomalies allows stakeholders to not only forecast demand with higher accuracy but also pre-empt equipment failures and optimize energy sourcing strategies.
Increasing adoption of renewable energy sources, volatility in energy markets, and the imperative to meet sustainability targets are amplifying the role of AI in modernizing the energy landscape. AI-driven robotics and automation are being deployed to inspect offshore wind farms, monitor solar panel output, and manage the logistics of distributed energy resources. Moreover, energy companies are leveraging AI to drive smarter infrastructure planning, enhance grid resiliency, and mitigate cybersecurity risks. Applications like demand forecasting, energy storage management, and safety monitoring are becoming more prevalent as digital twins and machine learning algorithms help utilities simulate scenarios and streamline responses. Nevertheless, implementation costs, data privacy concerns, and lack of standardized protocols remain key challenges.
From a regional standpoint, North America currently leads the AI in Energy market, owing to its aggressive technology adoption, strong funding ecosystem, and pioneering efforts by both government and private sector stakeholders in digital energy transformation. The presence of major tech companies, utility providers, and energy start-ups further fosters innovation. Europe follows closely, supported by green energy mandates, EU digital strategies, and a mature renewable infrastructure base. Meanwhile, Asia Pacific is anticipated to witness the highest growth rate during the forecast timeline. Rapid industrialization, surging urban energy demand, and ambitious government initiatives in nations like China, India, South Korea, and Japan are accelerating the integration of AI solutions across energy grids, power plants, and distribution networks.
Major market player included in this report are:
• IBM Corporation
• Microsoft Corporation
• General Electric
• Siemens AG
• Schneider Electric
• ABB Ltd.
• Google LLC
• Oracle Corporation
• SAP SE
• Rockwell Automation
• Amazon Web Services, Inc.
• Accenture PLC
• Intel Corporation
• Infosys Limited
• C3.ai, Inc.
Global Artificial Intelligence in Energy Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope – Free report customization (equivalent up to 8 analysts’ working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:
By Type:
• Solutions
• Services
By Application:
• Robotics
• Renewable Energy Management
• Demand Forecasting
• Safety, Security & Infrastructure
By Region:
North America
• U.S.
• Canada
Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe
Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific
Latin America
• Brazil
• Mexico
Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.

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Table of Contents

Table of Contents
Chapter 1. Global Artificial Intelligence in Energy Market Report Scope & Methodology
1.1. Research Objective
1.2. Research Methodology
 1.2.1. Forecast Model
 1.2.2. Desk Research
 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
 1.4.1. Market Definition
 1.4.2. Market Segmentation
1.5. Research Assumption
 1.5.1. Inclusion & Exclusion
 1.5.2. Limitations
 1.5.3. Years Considered for the Study
Chapter 2. Executive Summary
2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings
Chapter 3. Global AI in Energy Market Forces Analysis
3.1. Market Forces Shaping the AI in Energy Market (2024–2035)
3.2. Drivers
 3.2.1. Demand for Predictive Asset Maintenance
 3.2.2. Integration of Renewables and Grid Modernization
3.3. Restraints
 3.3.1. High Implementation Costs
 3.3.2. Data Privacy and Regulatory Challenges
3.4. Opportunities
 3.4.1. Expansion of Smart Grid Initiatives
 3.4.2. Growth in Energy Storage and Microgrid Applications
Chapter 4. Global AI in Energy Industry Analysis
4.1. Porter’s Five Forces Model
 4.1.1. Bargaining Power of Buyers
 4.1.2. Bargaining Power of Suppliers
 4.1.3. Threat of New Entrants
 4.1.4. Threat of Substitutes
 4.1.5. Competitive Rivalry
4.2. Porter’s Five Forces Forecast Model (2024–2035)
4.3. PESTEL Analysis
 4.3.1. Political
 4.3.2. Economic
 4.3.3. Social
 4.3.4. Technological
 4.3.5. Environmental
 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024–2025)
4.7. Global Pricing Analysis and Trends 2025
4.8. Analyst Recommendation & Conclusion
Chapter 5. Global AI in Energy Market Size & Forecasts by Type 2025–2035
5.1. Market Overview
5.2. Solutions
 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 5.2.2. Market Size Analysis by Region, 2025–2035
5.3. Services
 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 5.3.2. Market Size Analysis by Region, 2025–2035
Chapter 6. Global AI in Energy Market Size & Forecasts by Application 2025–2035
6.1. Market Overview
6.2. Robotics
 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 6.2.2. Market Size Analysis by Region, 2025–2035
6.3. Renewable Energy Management
 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 6.3.2. Market Size Analysis by Region, 2025–2035
6.4. Demand Forecasting
 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 6.4.2. Market Size Analysis by Region, 2025–2035
6.5. Safety, Security & Infrastructure
 6.5.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
 6.5.2. Market Size Analysis by Region, 2025–2035
Chapter 7. Global AI in Energy Market Size & Forecasts by Region 2025–2035
7.1. Regional Market Snapshot
7.2. Top Leading & Emerging Countries
7.3. North America AI in Energy Market
 7.3.1. U.S. AI in Energy Market
  7.3.1.1. Type Breakdown Size & Forecasts, 2025–2035
  7.3.1.2. Application Breakdown Size & Forecasts, 2025–2035
 7.3.2. Canada AI in Energy Market
  7.3.2.1. Type Breakdown Size & Forecasts, 2025–2035
  7.3.2.2. Application Breakdown Size & Forecasts, 2025–2035
7.4. Europe AI in Energy Market
 7.4.1. UK AI in Energy Market
  7.4.1.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.1.2. Application Breakdown Size & Forecasts, 2025–2035
 7.4.2. Germany AI in Energy Market
  7.4.2.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.2.2. Application Breakdown Size & Forecasts, 2025–2035
 7.4.3. France AI in Energy Market
  7.4.3.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.3.2. Application Breakdown Size & Forecasts, 2025–2035
 7.4.4. Spain AI in Energy Market
  7.4.4.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.4.2. Application Breakdown Size & Forecasts, 2025–2035
 7.4.5. Italy AI in Energy Market
  7.4.5.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.5.2. Application Breakdown Size & Forecasts, 2025–2035
 7.4.6. Rest of Europe AI in Energy Market
  7.4.6.1. Type Breakdown Size & Forecasts, 2025–2035
  7.4.6.2. Application Breakdown Size & Forecasts, 2025–2035
7.5. Asia Pacific AI in Energy Market
 7.5.1. China AI in Energy Market
  7.5.1.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.1.2. Application Breakdown Size & Forecasts, 2025–2035
 7.5.2. India AI in Energy Market
  7.5.2.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.2.2. Application Breakdown Size & Forecasts, 2025–2035
 7.5.3. Japan AI in Energy Market
  7.5.3.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.3.2. Application Breakdown Size & Forecasts, 2025–2035
 7.5.4. Australia AI in Energy Market
  7.5.4.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.4.2. Application Breakdown Size & Forecasts, 2025–2035
 7.5.5. South Korea AI in Energy Market
  7.5.5.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.5.2. Application Breakdown Size & Forecasts, 2025–2035
 7.5.6. Rest of Asia Pacific AI in Energy Market
  7.5.6.1. Type Breakdown Size & Forecasts, 2025–2035
  7.5.6.2. Application Breakdown Size & Forecasts, 2025–2035
7.6. Latin America AI in Energy Market
 7.6.1. Brazil AI in Energy Market
  7.6.1.1. Type Breakdown Size & Forecasts, 2025–2035
  7.6.1.2. Application Breakdown Size & Forecasts, 2025–2035
 7.6.2. Mexico AI in Energy Market
  7.6.2.1. Type Breakdown Size & Forecasts, 2025–2035
  7.6.2.2. Application Breakdown Size & Forecasts, 2025–2035
7.7. Middle East & Africa AI in Energy Market
 7.7.1. UAE AI in Energy Market
  7.7.1.1. Type Breakdown Size & Forecasts, 2025–2035
  7.7.1.2. Application Breakdown Size & Forecasts, 2025–2035
 7.7.2. Saudi Arabia AI in Energy Market
  7.7.2.1. Type Breakdown Size & Forecasts, 2025–2035
  7.7.2.2. Application Breakdown Size & Forecasts, 2025–2035
 7.7.3. South Africa AI in Energy Market
  7.7.3.1. Type Breakdown Size & Forecasts, 2025–2035
  7.7.3.2. Application Breakdown Size & Forecasts, 2025–2035
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. IBM Corporation
 10.2.1. Company Overview
 10.2.2. Key Executives
 10.2.3. Company Snapshot
 10.2.4. Financial Performance (Subject to Data Availability)
 10.2.5. Product/Services Portfolio
 10.2.6. Recent Development
 10.2.7. Market Strategies
 10.2.8. SWOT Analysis
10.3. Microsoft Corporation
10.4. General Electric
10.5. Siemens AG
10.6. Schneider Electric
10.7. ABB Ltd.
10.8. Google LLC
10.9. Oracle Corporation
10.10. SAP SE
10.11. Rockwell Automation
10.12. Amazon Web Services, Inc.
10.13. Accenture PLC
10.14. Intel Corporation
10.15. Infosys Limited
10.16. C3.ai, Inc.