The global Artificial Intelligence in Energy market was valued at US$ 2850.5 million in 2022 and is projected to reach US$ 8306.5 million by 2029, at a CAGR of 16.5% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The USA market for Global Artificial Intelligence in Energy market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The China market for Global Artificial Intelligence in Energy market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The Europe market for Global Artificial Intelligence in Energy market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
Energy companies have a growing need for data integration and visual analysis, and artificial intelligence can synthesize data in real time to facilitate statistical analysis to form efficient decision systems.This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Energy, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Energy. This report contains market size and forecasts of Artificial Intelligence in Energy in global, including the following market information:
- Global Artificial Intelligence in Energy Market Revenue, 2018-2023, 2024-2030, ($ millions)
- Global top five companies in 2022 (%)
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Machine Learning Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence in Energy include ABB, General Electric, IBM, Siemens and Grid4C, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Artificial Intelligence in Energy companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence in Energy Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Energy Market Segment Percentages, by Type, 2022 (%)
- Machine Learning
- Natural Language Processing
- Others
Global Artificial Intelligence in Energy Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Artificial Intelligence in Energy Market Segment Percentages, by Application, 2022 (%)
- Load Research & Forecasting
- Transmission & Distribution
Global Artificial Intelligence in Energy Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Artificial Intelligence in Energy Market Segment Percentages, By Region and Country, 2022 (%)
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
- Key companies Artificial Intelligence in Energy revenues in global market, 2018-2023 (estimated), ($ millions)
- Key companies Artificial Intelligence in Energy revenues share in global market, 2022 (%)
key players include:
- ABB
- General Electric
- IBM
- Siemens
- Grid4C
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence in Energy, market overview.
Chapter 2: Global Artificial Intelligence in Energy market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence in Energy company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Artificial Intelligence in Energy in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
