AI in Energy Management Systems Market Size, Share, and Trends 2025 to 2034

AI in Energy Management Systems Market (By Application: Energy Consumption Optimization, Grid Management, Predictive Maintenance, Energy Storage Optimization, Renewable Energy Integration; By End-User Industry: Utilities, Manufacturing, Commercial, Residential, Transportation; By Deployment Mode: Cloud-Based Solutions, On-Premises Solutions, Hybrid Solutions; By Component: Software, Hardware, Services;) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2025 to 2034

Last Updated : October 2025  |  Report Code : 6993  |  Category : ICT  |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Energy Management Systems Market 

5.1. COVID-19 Landscape: AI in Energy Management Systems Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Energy Management Systems Market, By Application

8.1. AI in Energy Management Systems Market, by Application

8.1.1. Energy Consumption Optimization

8.1.1.1. Market Revenue and Forecast

8.1.2. Grid Management

8.1.2.1. Market Revenue and Forecast

8.1.3. Predictive Maintenance

8.1.3.1. Market Revenue and Forecast

8.1.4. Energy Storage Optimization

8.1.4.1. Market Revenue and Forecast

8.1.5. Renewable Energy Integration

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global AI in Energy Management Systems Market, By End-User Industry

9.1. AI in Energy Management Systems Market, by End-User Industry

9.1.1. Utilities

9.1.1.1. Market Revenue and Forecast

9.1.2. Manufacturing

9.1.2.1. Market Revenue and Forecast

9.1.3. Commercial

9.1.3.1. Market Revenue and Forecast

9.1.4. Residential

9.1.4.1. Market Revenue and Forecast

9.1.5. Transportation

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global AI in Energy Management Systems Market, By Deployment Mode 

10.1. AI in Energy Management Systems Market, by Deployment Mode

10.1.1. Cloud-Based Solutions

10.1.1.1. Market Revenue and Forecast

10.1.2. On-Premises Solutions

10.1.2.1. Market Revenue and Forecast

10.1.3. Hybrid Solutions

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global AI in Energy Management Systems Market, By Component 

11.1. AI in Energy Management Systems Market, by Component

11.1.1. Software

11.1.1.1. Market Revenue and Forecast

11.1.2. Hardware

11.1.2.1. Market Revenue and Forecast

11.1.3. Services

11.1.3.1. Market Revenue and Forecast

Chapter 12. Global AI in Energy Management Systems Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Application

12.1.2. Market Revenue and Forecast, by End-User Industry

12.1.3. Market Revenue and Forecast, by Deployment Mode

12.1.4. Market Revenue and Forecast, by Component

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Application

12.1.5.2. Market Revenue and Forecast, by End-User Industry

12.1.5.3. Market Revenue and Forecast, by Deployment Mode

12.1.5.4. Market Revenue and Forecast, by Component

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Application

12.1.6.2. Market Revenue and Forecast, by End-User Industry

12.1.6.3. Market Revenue and Forecast, by Deployment Mode

12.1.6.4. Market Revenue and Forecast, by Component

12.2. Europe

12.2.1. Market Revenue and Forecast, by Application

12.2.2. Market Revenue and Forecast, by End-User Industry

12.2.3. Market Revenue and Forecast, by Deployment Mode

12.2.4. Market Revenue and Forecast, by Component

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Application

12.2.5.2. Market Revenue and Forecast, by End-User Industry

12.2.5.3. Market Revenue and Forecast, by Deployment Mode

12.2.5.4. Market Revenue and Forecast, by Component

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Application

12.2.6.2. Market Revenue and Forecast, by End-User Industry

12.2.6.3. Market Revenue and Forecast, by Deployment Mode

12.2.6.4. Market Revenue and Forecast, by Component

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Application

12.2.7.2. Market Revenue and Forecast, by End-User Industry

12.2.7.3. Market Revenue and Forecast, by Deployment Mode

12.2.7.4. Market Revenue and Forecast, by Component

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Application

12.2.8.2. Market Revenue and Forecast, by End-User Industry

12.2.8.3. Market Revenue and Forecast, by Deployment Mode

12.2.8.4. Market Revenue and Forecast, by Component

12.3. APAC

12.3.1. Market Revenue and Forecast, by Application

12.3.2. Market Revenue and Forecast, by End-User Industry

12.3.3. Market Revenue and Forecast, by Deployment Mode

12.3.4. Market Revenue and Forecast, by Component

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Application

12.3.5.2. Market Revenue and Forecast, by End-User Industry

12.3.5.3. Market Revenue and Forecast, by Deployment Mode

12.3.5.4. Market Revenue and Forecast, by Component

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Application

12.3.6.2. Market Revenue and Forecast, by End-User Industry

12.3.6.3. Market Revenue and Forecast, by Deployment Mode

12.3.6.4. Market Revenue and Forecast, by Component

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Application

12.3.7.2. Market Revenue and Forecast, by End-User Industry

12.3.7.3. Market Revenue and Forecast, by Deployment Mode

12.3.7.4. Market Revenue and Forecast, by Component

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Application

12.3.8.2. Market Revenue and Forecast, by End-User Industry

12.3.8.3. Market Revenue and Forecast, by Deployment Mode

12.3.8.4. Market Revenue and Forecast, by Component

12.4. MEA

12.4.1. Market Revenue and Forecast, by Application

12.4.2. Market Revenue and Forecast, by End-User Industry

12.4.3. Market Revenue and Forecast, by Deployment Mode

12.4.4. Market Revenue and Forecast, by Component

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Application

12.4.5.2. Market Revenue and Forecast, by End-User Industry

12.4.5.3. Market Revenue and Forecast, by Deployment Mode

12.4.5.4. Market Revenue and Forecast, by Component

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Application

12.4.6.2. Market Revenue and Forecast, by End-User Industry

12.4.6.3. Market Revenue and Forecast, by Deployment Mode

12.4.6.4. Market Revenue and Forecast, by Component

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Application

12.4.7.2. Market Revenue and Forecast, by End-User Industry

12.4.7.3. Market Revenue and Forecast, by Deployment Mode

12.4.7.4. Market Revenue and Forecast, by Component

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Application

12.4.8.2. Market Revenue and Forecast, by End-User Industry

12.4.8.3. Market Revenue and Forecast, by Deployment Mode

12.4.8.4. Market Revenue and Forecast, by Component

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Application

12.5.2. Market Revenue and Forecast, by End-User Industry

12.5.3. Market Revenue and Forecast, by Deployment Mode

12.5.4. Market Revenue and Forecast, by Component

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Application

12.5.5.2. Market Revenue and Forecast, by End-User Industry

12.5.5.3. Market Revenue and Forecast, by Deployment Mode

12.5.5.4. Market Revenue and Forecast, by Component

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Application

12.5.6.2. Market Revenue and Forecast, by End-User Industry

12.5.6.3. Market Revenue and Forecast, by Deployment Mode

12.5.6.4. Market Revenue and Forecast, by Component

Chapter 13. Company Profiles

13.1. AutoGrid Systems, Inc.

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Prescinto Technologies

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Verdigris Technologies

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Other local and startup firms

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. IBM Corporation

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Johnson Controls International

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Eaton Corporation

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Mitsubishi Electric Corporation

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Schneider Electric SE

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Siemens AG

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The major players in the AI in energy management systems market include ABB Ltd., IBM Corporation, Johnson Controls International, Eaton Corporation, Mitsubishi Electric Corporation, C3.ai, Grid4C, AutoGrid Systems, Inc., Prescinto Technologies, Verdigris Technologies, and Other local and startup firms

The driving factors of the AI in energy management systems market are the energy demand across industrial and commercial sectors, and the rapid evolution of AI technologies that can be seamlessly integrated into existing energy management systems. 

North America region will lead the global AI in energy management systems market during the forecast period 2025 to 2034.

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