by 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.
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 Coverage | Details |
| Market Size in 2023 | USD 769.06 Million |
| Market Size by 2032 | USD 5,338.09 Million |
| Growth Rate from 2023 to 2032 | CAGR of 24.02% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Component, By Application, and By End User |
| Regions Covered | North 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
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- Insights(current)
- Our Services(current)
- About Us(current)
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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 :
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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