June 17, 2024

Generative AI in Energy Market Size To Rise USD 5,338.09 Million By 2032

The global generative AI in energy market size accounted for US$ 620.11 Mn in 2022 and is projected to reach around USD 5,338.09 mn by 2032, growing at a CAGR of 24.02% from 2023 to 2032.

Generative AI in Energy Market Size 2023 To 2032

Key Takeaways:

  • North America is expected to dominate the market during the forecast period.
  • By component, the service segment is expected to dominate the market over the forecast period.
  • By application, the demand forecasting segment is expected to dominate the market over the forecast period.
  • By end user, the energy generation segment is expected to dominate the market over the forecast period.

Report Summary

The global generative AI in energy market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the generative AI in energy market across the globe.

A comprehensive estimate on the generative AI in energy market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of generative AI in energy during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Generative AI in Energy Market Report Scope

Report CoverageDetails
Market Size in 2023USD 769.06 Million
Market Size by 2032USD 5,338.09 Million
Growth Rate from 2023 to 2032CAGR of 24.02%
Largest MarketNorth America
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Component, By Application, and By End User
Regions CoveredNorth America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized generative AI in energy market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read:  Generative AI in Medicine Market Size To Rise USD 21,586.75 Million By 2030

Generative AI in Energy Market Players

The report includes the profiles of key generative AI in energy market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

  • SmartCloud Inc.
  • Siemens AG
  • ATOS SE
  • Alpiq AG
  • AppOrchid Inc
  • General Electric
  • Schneider Electric
  • Zen Robotics Ltd
  • Cisco
  • Freshworks Inc.

Market Segmentation

By Component

  • Solutions
  • Services

By Application

  • Demand Forecasting
  • Renewable Energy Output Forecasting
  • Grid Management and Optimization
  • Energy Trading and Pricing
  • Customer Offerings
  • Energy Storage Optimization
  • Others

By End User

  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities

Regional Segmentation

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
  • Latin America (Brazil and Rest of Latin America)
  • Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

  • Governmental bodies, and organizations creating economic policies
  • National and international social welfare institutions
  • Company websites, financial reports and SEC filings, broker and investor reports
  • Related patent and regulatory databases
  • Statistical databases and market reports
  • Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

  • Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
  • In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

TABLE OF CONTENT

  1. Home
  2. ICT
  3. Generative AI In Energy Market Size, Growth, Report By 2032

Generative AI in Energy Market (By Component: Solutions, Services; By Application: Demand Forecasting, Renewable Energy Output Forecasting, Grid Management and Optimization, Energy Trading and Pricing, Customer Offerings, Energy Storage Optimization, Others; By End User: Energy Transmission, Energy Generation, Energy Distribution, Utilities) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

Status : Published | No. of Pages : 150+ | Category : ICT | Report Code : 3121 | Format :

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Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

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 Generative AI in Energy Market 

5.1. COVID-19 Landscape: Generative AI in Energy 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

Chapter 6. Market Dynamics Analysis and Trends

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 Generative AI in Energy Market, By Component

8.1. Generative AI in Energy Market, by Component, 2023-2032

8.1.1 Solutions

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Generative AI in Energy Market, By Application

9.1. Generative AI in Energy Market, by Application, 2023-2032

9.1.1. Demand Forecasting

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Renewable Energy Output Forecasting

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Grid Management and Optimization

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Energy Trading and Pricing

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Customer Offerings

9.1.5.1. Market Revenue and Forecast (2020-2032)

9.1.6. Energy Storage Optimization

9.1.6.1. Market Revenue and Forecast (2020-2032)

9.1.7. Others

9.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Generative AI in Energy Market, By End User 

10.1. Generative AI in Energy Market, by End User, 2023-2032

10.1.1. Energy Transmission

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Energy Generation

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Energy Distribution

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Utilities

10.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Generative AI in Energy Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.3. Market Revenue and Forecast, by End User (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.1.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.2.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.3.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Application (2020-2032)

11.4.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Application (2020-2032)

11.5.5.3. Market Revenue and Forecast, by End User (2020-2032)

Chapter 12. Company Profiles

12.1. SmartCloud Inc.

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Siemens AG

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. ATOS SE

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Alpiq AG

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. AppOrchid Inc

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. General Electric

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Schneider Electric

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Zen Robotics Ltd

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Cisco

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Freshworks Inc.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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