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Synopsis
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.
The global Artificial Intelligence in Energy market was valued at US$ 2770.3 million in 2023 and is anticipated to reach US$ 8781.4 million by 2030, witnessing a CAGR of 17.3% during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.48%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Energy, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Energy.
Report Scope
The Artificial Intelligence in Energy market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in Energy market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in Energy companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
- ABB
- General Electric
- IBM
- Siemens
- Grid4C
Segment by Type
- Machine Learning
- Natural Language Processing
- Others
Segment by Application
- Load Research & Forecasting
- Transmission & Distribution
By Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina)
- Middle East & Africa (Turkey, Saudi Arabia, UAE)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in Energy companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Energy Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Natural Language Processing
1.2.4 Others
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Energy Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Load Research & Forecasting
1.3.3 Transmission & Distribution
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Energy Market Perspective (2019-2030)
2.2 Artificial Intelligence in Energy Growth Trends by Region
2.2.1 Global Artificial Intelligence in Energy Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Energy Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Energy Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence in Energy Market Dynamics
2.3.1 Artificial Intelligence in Energy Industry Trends
2.3.2 Artificial Intelligence in Energy Market Drivers
2.3.3 Artificial Intelligence in Energy Market Challenges
2.3.4 Artificial Intelligence in Energy Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Energy Players by Revenue
3.1.1 Global Top Artificial Intelligence in Energy Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in Energy Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence in Energy Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Energy Revenue
3.4 Global Artificial Intelligence in Energy Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Energy Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Energy Revenue in 2023
3.5 Artificial Intelligence in Energy Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Energy Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Energy Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Energy Breakdown Data by Type
4.1 Global Artificial Intelligence in Energy Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence in Energy Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence in Energy Breakdown Data by Application
5.1 Global Artificial Intelligence in Energy Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Energy Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Energy Market Size (2019-2030)
6.2 North America Artificial Intelligence in Energy Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in Energy Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence in Energy Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Energy Market Size (2019-2030)
7.2 Europe Artificial Intelligence in Energy Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in Energy Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in Energy Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Energy Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Energy Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in Energy Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in Energy Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in Energy Market Size (2019-2030)
9.2 Latin America Artificial Intelligence in Energy Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in Energy Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in Energy Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Energy Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Energy Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in Energy Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in Energy Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 ABB
11.1.1 ABB Company Detail
11.1.2 ABB Business Overview
11.1.3 ABB Artificial Intelligence in Energy Introduction
11.1.4 ABB Revenue in Artificial Intelligence in Energy Business (2019-2024)
11.1.5 ABB Recent Development
11.2 General Electric
11.2.1 General Electric Company Detail
11.2.2 General Electric Business Overview
11.2.3 General Electric Artificial Intelligence in Energy Introduction
11.2.4 General Electric Revenue in Artificial Intelligence in Energy Business (2019-2024)
11.2.5 General Electric Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence in Energy Introduction
11.3.4 IBM Revenue in Artificial Intelligence in Energy Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Siemens
11.4.1 Siemens Company Detail
11.4.2 Siemens Business Overview
11.4.3 Siemens Artificial Intelligence in Energy Introduction
11.4.4 Siemens Revenue in Artificial Intelligence in Energy Business (2019-2024)
11.4.5 Siemens Recent Development
11.5 Grid4C
11.5.1 Grid4C Company Detail
11.5.2 Grid4C Business Overview
11.5.3 Grid4C Artificial Intelligence in Energy Introduction
11.5.4 Grid4C Revenue in Artificial Intelligence in Energy Business (2019-2024)
11.5.5 Grid4C Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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