Eternity Insights has published a new study on Global Artificial Intelligence In Energy Market focusing on key segments as by Type (Narrow/Weak Artificial Intelligence,General/Strong Artificial Intelligence, Other), by Application (Demand Response Management,Fleet & asset Management,Renewable Energy Management,Precision Drilling,Demand forecasting,Infrastructure Management,Others), and by region. This deep dive re-search report highlights the market and competitive intelligence across the key segments of the mar-ket. The report also considers the impact of COVID-19 on the global Artificial Intelligence In Energy Market.
The report considers 2018-2020 as historic period, 2021 as base year, and 2022-2028 as forecast period. The report includes quantitative analysis of the market supported by the market drivers, challenges, and trends to accurately map the market scenario and competition. Moreover, key insights related to market having direct impact on the market will also be covered.
Artificial Intelligence In Energy Market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through the primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.
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Geographically, the market is categorized in to five regions as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America region dominates the global Artificial Intelligence In Energy market in terms of demand generation. The Artificial Intelligence In Energy market in Asia Pacific region is expected to grow at significantly high growth rate. The regional market is further sub-segmented and analyzed at granular level across key countries. The report will include market size and forecast for Artificial Intelligence In Energy market for below listed coun-tries across each region.
North America (U.S. and Canada), Europe (Germany, France, Italy, UK, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific region); Latin America (Brazil, Mexico, and rest of the Latin America); Middle East and Africa (GCC, South Africa, and Rest of the Middle East and Africa).
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The global Artificial Intelligence In Energy market analysis report covers detailed analysis of competitive scenario across globe. The report includes profiles of leading players covering below details
| Report Attributes | Details |
| The market size value in 2021 | USD XX.XX Million |
| CAGR (2021 - 2028) | XX.XX % |
| The Revenue forecast in 2028 | USD XX.XX Million |
| Base year for estimation | 2021 |
| Historical data | 2018-2019 |
| Forecast period | 2022-2028 |
| Quantitative units |
|
| Report coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments covered | By Type Outlook, Application Outlook, Regional Outlook |
| By Type Outlook | Narrow/Weak Artificial Intelligence,General/Strong Artificial Intelligence, Other |
| By Application Outlook | Demand Response Management,Fleet & asset Management,Renewable Energy Management,Precision Drilling,Demand forecasting,Infrastructure Management,Others |
| Regional scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Country scope | U.S., Canada, U.K., Germany, France, BENELUX, China, India, Japan, South Korea, Brazil, Saudi Arabia, UAE, Turkey |
| Key companies profiled | Accenture PLC,Amazon Web Services, Inc.,AutoGrid Systems, Inc,Cisco Systems Inc.,C3 IoT, Inc.,General Electric,HCL Technologies Ltd.,Huawei Technologies Co., Ltd.,IBM Corporation,Intel Corporation |
| Customization Available | Yes, the report can be tailored to meet your specific requirements. |
Table of Contents
Chapter 1 Artificial Intelligence in Energy Market Overview
1.1 Artificial Intelligence in Energy Definition
1.2 Global Artificial Intelligence in Energy Market Size Status and Outlook (2017-2028)
1.3 Global Artificial Intelligence in Energy Market Size Comparison by Region (2017-2028)
1.4 Global Artificial Intelligence in Energy Market Size Comparison by Type (2017-2028)
1.5 Global Artificial Intelligence in Energy Market Size Comparison by Application (2017-2028)
1.6 Global Artificial Intelligence in Energy Market Size Comparison by Sales Channel (2017-2028)
1.7 Artificial Intelligence in Energy Market Dynamics (COVID-19 Impacts)
1.7.1 Market Drivers/Opportunities
1.7.2 Market Challenges/Risks
1.7.3 Market News (Mergers/Acquisitions/Expansion)
1.7.4 COVID-19 Impacts on Current Market
1.7.5 Post-Strategies of COVID-19 Outbreak
Chapter 2 Artificial Intelligence in Energy Market Segment Analysis by Player
2.1 Global Artificial Intelligence in Energy Sales and Market Share by Player (2017-2020)
2.2 Global Artificial Intelligence in Energy Revenue and Market Share by Player (2017-2020)
2.3 Global Artificial Intelligence in Energy Average Price by Player (2017-2020)
2.4 Players Competition Situation & Trends
2.5 Conclusion of Segment by Player
Chapter 3 Artificial Intelligence in Energy Market Segment Analysis by Type
3.1 Global Artificial Intelligence in Energy Market by Type
3.1.1 Machine Learning
3.1.2 Natural Language Processing
3.1.3 Context-aware Computing
3.1.4 Computer Vision
3.2 Global Artificial Intelligence in Energy Sales and Market Share by Type (2017-2020)
3.3 Global Artificial Intelligence in Energy Revenue and Market Share by Type (2017-2020)
3.4 Global Artificial Intelligence in Energy Average Price by Type (2017-2020)
3.5 Leading Players of Artificial Intelligence in Energy by Type in 2020
3.6 Conclusion of Segment by Type
Chapter 4 Artificial Intelligence in Energy Market Segment Analysis by Application
4.1 Global Artificial Intelligence in Energy Market by Application
4.1.1 SMEs
4.1.2 Large Enterprises
4.2 Global Artificial Intelligence in Energy Sales and Market Share by Application (2017-2020)
4.3 Leading Consumers of Artificial Intelligence in Energy by Application in 2020
4.4 Conclusion of Segment by Application
Chapter 5 Artificial Intelligence in Energy Market Segment Analysis by Sales Channel
5.1 Global Artificial Intelligence in Energy Market by Sales Channel
5.1.1 Direct Channel
5.1.2 Distribution Channel
5.2 Global Artificial Intelligence in Energy Sales and Market Share by Sales Channel (2017-2020)
5.3 Leading Distributors/Dealers of Artificial Intelligence in Energy by Sales Channel in 2020
5.4 Conclusion of Segment by Sales Channel
Chapter 6 Artificial Intelligence in Energy Market Segment Analysis by Region
6.1 Global Artificial Intelligence in Energy Market Size and CAGR by Region (2017-2028)
6.2 Global Artificial Intelligence in Energy Sales and Market Share by Region (2017-2020)
6.3 Global Artificial Intelligence in Energy Revenue and Market Share by Region (2017-2020)
6.4 North America
6.4.1 North America Market by Country
6.4.2 North America Artificial Intelligence in Energy Market Share by Type
6.4.3 North America Artificial Intelligence in Energy Market Share by Application
6.4.4 United States
6.4.5 Canada
6.4.6 Mexico
6.5 Europe
6.5.1 Europe Market by Country
6.5.2 Europe Artificial Intelligence in Energy Market Share by Type
6.5.3 Europe Artificial Intelligence in Energy Market Share by Application
6.5.4 Germany
6.5.5 UK
6.5.6 France
6.5.7 Italy
6.5.8 Russia
6.5.9 Spain
6.6 Asia-Pacific
6.6.1 Asia-Pacific Market by Country
6.6.2 Asia-Pacific Artificial Intelligence in Energy Market Share by Type
6.6.3 Asia-Pacific Artificial Intelligence in Energy Market Share by Application
6.6.4 China
6.6.5 Japan
6.6.6 Korea
6.6.7 India
6.6.8 Southeast Asia
6.6.9 Australia
6.7 South America
6.7.1 South America Market by Country
6.7.2 South America Artificial Intelligence in Energy Market Share by Type
6.7.3 South America Artificial Intelligence in Energy Market Share by Application
6.7.4 Brazil
6.7.5 Argentina
6.7.6 Colombia
6.8 Middle East & Africa
6.8.1 Middle East & Africa Market by Country
6.8.2 Middle East & Africa Artificial Intelligence in Energy Market Share by Type
6.8.3 Middle East & Africa Artificial Intelligence in Energy Market Share by Application
6.8.4 UAE
6.8.5 Saudi Arabia
6.8.6 South Africa
6.9 Conclusion of Segment by Region
Chapter 7 Profile of Leading Artificial Intelligence in Energy Players
7.1 ABB
7.1.1 Company Snapshot
7.1.2 Product/Service Offered
7.1.3 Business Performance (Sales, Price, Revenue, Gross Margin and Market Share)
7.1.4 COVID-19 Impact on ABB
7.2 Alphabet
7.3 Amazon Web Services
7.4 Cisco Systems
7.5 Flex Ltd.
7.6 General Electric
7.7 Grid4C
7.8 IBM
7.9 Intel
7.10 Microsoft
7.11 Mitsubishi Electric
7.12 Origami Energy
7.13 SAP
7.14 Siemens
7.15 Verdigris Technologies
Chapter 8 Upstream and Downstream Analysis of Artificial Intelligence in Energy
8.1 Industrial Chain of Artificial Intelligence in Energy
8.2 Upstream of Artificial Intelligence in Energy
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.2.4 Manufacturing Cost Structure
8.2.5 Manufacturing Process
8.3 Downstream of Artificial Intelligence in Energy
8.3.1 Leading Distributors/Dealers of Artificial Intelligence in Energy
8.3.2 Leading Consumers of Artificial Intelligence in Energy
Chapter 9 Development Trend of Artificial Intelligence in Energy (2021-2028)
9.1 Global Artificial Intelligence in Energy Market Size (Sales and Revenue) Forecast (2021-2028)
9.2 Global Artificial Intelligence in Energy Market Size and CAGR Forecast by Region (2021-2028)
9.3 Global Artificial Intelligence in Energy Market Size and CAGR Forecast by Type (2021-2028)
9.4 Global Artificial Intelligence in Energy Market Size and CAGR Forecast by Application (2021-2028)
9.5 Global Artificial Intelligence in Energy Market Size and CAGR Forecast by Sales Channel (2021-2028)
Chapter 10 Appendix
10.1 Research Methodology
10.2 Data Sources
10.3 Disclaimer
10.4 Analysts Certification
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