Artificial Intelligence in Energy Comprehensive Study by Type (Software, Hardware, Services), Application (Fault Prediction, Maintenance Facilitated by Image Processing, Energy Efficiency Decision Making, Disaster Recovery, Prevention of Losses Due to Informal Connections), Organization Size (Small and Medium Size Organization, Large Size Organization), Deployment (Cloud-based, On-premise) Players and Region - Global Market Outlook to 2028

Artificial Intelligence in Energy Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Artificial Intelligence in Energy Market Scope?
Artificial intelligence in the energy sector is now reaching emerging markets, where it may have a critical impact, as clean, cheap, and reliable energy is essential to development. Artificial intelligence technologies are closely tied to the ability to provide clean and cheap energy that is essential to development. Increasing demand for artificial intelligence in the energy sector from developed nations that allow for communication between smart grids, smart meters, and Internet of Things devices is propelling the growth of the global artificial intelligence in the energy market.

Influencing Trend:
Increasing Use of Machine Learning

Market Growth Drivers:
Rising Demand for Energy across the Globe and Lack of Analytics Needed for Optimal Management

Challenges:
Rising Threat of Cyber Security

Restraints:
Lack of Skilled Working Professionals

Opportunities:
Technological Advancement and Development in Artificial Intelligence in Energy

The Artificial Intelligence in Energy market study is being classified by Type (Software, Hardware and Services), by Application and major geographies with country level break-up.

The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Analysts at AMA predicts that Players from United States will contribute to the maximum growth of Global Artificial Intelligence in Energy market throughout the predicted period.

Alphabet (United States), General Electric (United States), Siemens (Germany), Watty (Sweden), IBM (United States), Schneider Electric (France), BuildingIQ (United States), ABB (Switzerland) and Grid4C (United States) are some of the key players profiled in the study.

Segmentation Analysis
Analyst at AMA have segmented the market study of Global Artificial Intelligence in Energy market by Type, Application and Region.

On the basis of geography, the market of Artificial Intelligence in Energy has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).




Key Target Audience
Artificial Intelligence in Energy Providers, Research Organizations and Consulting Companies, Potential Technology Investors, Regulatory & Government Bodies, Downstream Vendors, End Users and Others

Artificial Intelligence in Energy Market Study: Important Years
AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Major Highlights of Market Study

Demand Determinants: Identifying top-notch application and business segments that seek high growth potentials in Artificial Intelligence in Energy Market.

Key Strategic Developments: To target untapped regions more aggressively by focusing on product/service developments, innovation and R & D, new launches, Merger & acquisitions, JVs & partnerships.

Forces & Market Dynamics: Growth drivers, restraints & opportunities available in Artificial Intelligence in Energy industry is examined with reference relevant market sectors and sub-sectors.

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also includes significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets, To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

Report Objectives / Segmentation Covered

By Type
  • Software
  • Hardware
  • Services
By Application
  • Fault Prediction
  • Maintenance Facilitated by Image Processing
  • Energy Efficiency Decision Making
  • Disaster Recovery
  • Prevention of Losses Due to Informal Connections
By Organization Size
  • Small and Medium Size Organization
  • Large Size Organization

By Deployment
  • Cloud-based
  • On-premise

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Demand for Energy across the Globe
      • 3.2.2. Lack of Analytics Needed for Optimal Management
    • 3.3. Market Challenges
      • 3.3.1. Rising Threat of Cyber Security
    • 3.4. Market Trends
      • 3.4.1. Increasing Use of Machine Learning
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Artificial Intelligence in Energy, by Type, Application, Organization Size, Deployment and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Artificial Intelligence in Energy (Value)
      • 5.2.1. Global Artificial Intelligence in Energy by: Type (Value)
        • 5.2.1.1. Software
        • 5.2.1.2. Hardware
        • 5.2.1.3. Services
      • 5.2.2. Global Artificial Intelligence in Energy by: Application (Value)
        • 5.2.2.1. Fault Prediction
        • 5.2.2.2. Maintenance Facilitated by Image Processing
        • 5.2.2.3. Energy Efficiency Decision Making
        • 5.2.2.4. Disaster Recovery
        • 5.2.2.5. Prevention of Losses Due to Informal Connections
      • 5.2.3. Global Artificial Intelligence in Energy by: Organization Size (Value)
        • 5.2.3.1. Small and Medium Size Organization
        • 5.2.3.2. Large Size Organization
      • 5.2.4. Global Artificial Intelligence in Energy by: Deployment (Value)
        • 5.2.4.1. Cloud-based
        • 5.2.4.2. On-premise
      • 5.2.5. Global Artificial Intelligence in Energy Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Artificial Intelligence in Energy: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Alphabet (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. General Electric (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Siemens (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Watty (Sweden)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. IBM (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Schneider Electric (France)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. BuildingIQ (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. ABB (Switzerland)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Grid4C (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
  • 7. Global Artificial Intelligence in Energy Sale, by Type, Application, Organization Size, Deployment and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Artificial Intelligence in Energy (Value)
      • 7.2.1. Global Artificial Intelligence in Energy by: Type (Value)
        • 7.2.1.1. Software
        • 7.2.1.2. Hardware
        • 7.2.1.3. Services
      • 7.2.2. Global Artificial Intelligence in Energy by: Application (Value)
        • 7.2.2.1. Fault Prediction
        • 7.2.2.2. Maintenance Facilitated by Image Processing
        • 7.2.2.3. Energy Efficiency Decision Making
        • 7.2.2.4. Disaster Recovery
        • 7.2.2.5. Prevention of Losses Due to Informal Connections
      • 7.2.3. Global Artificial Intelligence in Energy by: Organization Size (Value)
        • 7.2.3.1. Small and Medium Size Organization
        • 7.2.3.2. Large Size Organization
      • 7.2.4. Global Artificial Intelligence in Energy by: Deployment (Value)
        • 7.2.4.1. Cloud-based
        • 7.2.4.2. On-premise
      • 7.2.5. Global Artificial Intelligence in Energy Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Artificial Intelligence in Energy: by Type(USD Million)
  • Table 2. Artificial Intelligence in Energy Software , by Region USD Million (2017-2022)
  • Table 3. Artificial Intelligence in Energy Hardware , by Region USD Million (2017-2022)
  • Table 4. Artificial Intelligence in Energy Services , by Region USD Million (2017-2022)
  • Table 5. Artificial Intelligence in Energy: by Application(USD Million)
  • Table 6. Artificial Intelligence in Energy Fault Prediction , by Region USD Million (2017-2022)
  • Table 7. Artificial Intelligence in Energy Maintenance Facilitated by Image Processing , by Region USD Million (2017-2022)
  • Table 8. Artificial Intelligence in Energy Energy Efficiency Decision Making , by Region USD Million (2017-2022)
  • Table 9. Artificial Intelligence in Energy Disaster Recovery , by Region USD Million (2017-2022)
  • Table 10. Artificial Intelligence in Energy Prevention of Losses Due to Informal Connections , by Region USD Million (2017-2022)
  • Table 11. Artificial Intelligence in Energy: by Organization Size(USD Million)
  • Table 12. Artificial Intelligence in Energy Small and Medium Size Organization , by Region USD Million (2017-2022)
  • Table 13. Artificial Intelligence in Energy Large Size Organization , by Region USD Million (2017-2022)
  • Table 14. Artificial Intelligence in Energy: by Deployment(USD Million)
  • Table 15. Artificial Intelligence in Energy Cloud-based , by Region USD Million (2017-2022)
  • Table 16. Artificial Intelligence in Energy On-premise , by Region USD Million (2017-2022)
  • Table 17. South America Artificial Intelligence in Energy, by Country USD Million (2017-2022)
  • Table 18. South America Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 19. South America Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 20. South America Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 21. South America Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 22. Brazil Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 23. Brazil Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 24. Brazil Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 25. Brazil Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 26. Argentina Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 27. Argentina Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 28. Argentina Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 29. Argentina Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 30. Rest of South America Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 31. Rest of South America Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 32. Rest of South America Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 33. Rest of South America Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 34. Asia Pacific Artificial Intelligence in Energy, by Country USD Million (2017-2022)
  • Table 35. Asia Pacific Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 36. Asia Pacific Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 37. Asia Pacific Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 38. Asia Pacific Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 39. China Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 40. China Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 41. China Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 42. China Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 43. Japan Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 44. Japan Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 45. Japan Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 46. Japan Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 47. India Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 48. India Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 49. India Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 50. India Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 51. South Korea Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 52. South Korea Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 53. South Korea Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 54. South Korea Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 55. Taiwan Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 56. Taiwan Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 57. Taiwan Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 58. Taiwan Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 59. Australia Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 60. Australia Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 61. Australia Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 62. Australia Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 63. Rest of Asia-Pacific Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 67. Europe Artificial Intelligence in Energy, by Country USD Million (2017-2022)
  • Table 68. Europe Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 69. Europe Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 70. Europe Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 71. Europe Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 72. Germany Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 73. Germany Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 74. Germany Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 75. Germany Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 76. France Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 77. France Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 78. France Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 79. France Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 80. Italy Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 81. Italy Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 82. Italy Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 83. Italy Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 84. United Kingdom Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 85. United Kingdom Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 86. United Kingdom Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 87. United Kingdom Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 88. Netherlands Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 89. Netherlands Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 90. Netherlands Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 91. Netherlands Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 92. Rest of Europe Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 93. Rest of Europe Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 94. Rest of Europe Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 95. Rest of Europe Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 96. MEA Artificial Intelligence in Energy, by Country USD Million (2017-2022)
  • Table 97. MEA Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 98. MEA Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 99. MEA Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 100. MEA Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 101. Middle East Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 102. Middle East Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 103. Middle East Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 104. Middle East Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 105. Africa Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 106. Africa Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 107. Africa Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 108. Africa Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 109. North America Artificial Intelligence in Energy, by Country USD Million (2017-2022)
  • Table 110. North America Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 111. North America Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 112. North America Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 113. North America Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 114. United States Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 115. United States Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 116. United States Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 117. United States Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 118. Canada Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 119. Canada Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 120. Canada Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 121. Canada Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 122. Mexico Artificial Intelligence in Energy, by Type USD Million (2017-2022)
  • Table 123. Mexico Artificial Intelligence in Energy, by Application USD Million (2017-2022)
  • Table 124. Mexico Artificial Intelligence in Energy, by Organization Size USD Million (2017-2022)
  • Table 125. Mexico Artificial Intelligence in Energy, by Deployment USD Million (2017-2022)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Artificial Intelligence in Energy: by Type(USD Million)
  • Table 136. Artificial Intelligence in Energy Software , by Region USD Million (2023-2028)
  • Table 137. Artificial Intelligence in Energy Hardware , by Region USD Million (2023-2028)
  • Table 138. Artificial Intelligence in Energy Services , by Region USD Million (2023-2028)
  • Table 139. Artificial Intelligence in Energy: by Application(USD Million)
  • Table 140. Artificial Intelligence in Energy Fault Prediction , by Region USD Million (2023-2028)
  • Table 141. Artificial Intelligence in Energy Maintenance Facilitated by Image Processing , by Region USD Million (2023-2028)
  • Table 142. Artificial Intelligence in Energy Energy Efficiency Decision Making , by Region USD Million (2023-2028)
  • Table 143. Artificial Intelligence in Energy Disaster Recovery , by Region USD Million (2023-2028)
  • Table 144. Artificial Intelligence in Energy Prevention of Losses Due to Informal Connections , by Region USD Million (2023-2028)
  • Table 145. Artificial Intelligence in Energy: by Organization Size(USD Million)
  • Table 146. Artificial Intelligence in Energy Small and Medium Size Organization , by Region USD Million (2023-2028)
  • Table 147. Artificial Intelligence in Energy Large Size Organization , by Region USD Million (2023-2028)
  • Table 148. Artificial Intelligence in Energy: by Deployment(USD Million)
  • Table 149. Artificial Intelligence in Energy Cloud-based , by Region USD Million (2023-2028)
  • Table 150. Artificial Intelligence in Energy On-premise , by Region USD Million (2023-2028)
  • Table 151. South America Artificial Intelligence in Energy, by Country USD Million (2023-2028)
  • Table 152. South America Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 153. South America Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 154. South America Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 155. South America Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 156. Brazil Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 157. Brazil Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 158. Brazil Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 159. Brazil Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 160. Argentina Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 161. Argentina Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 162. Argentina Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 163. Argentina Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 164. Rest of South America Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 165. Rest of South America Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 166. Rest of South America Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 167. Rest of South America Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 168. Asia Pacific Artificial Intelligence in Energy, by Country USD Million (2023-2028)
  • Table 169. Asia Pacific Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 170. Asia Pacific Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 171. Asia Pacific Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 172. Asia Pacific Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 173. China Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 174. China Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 175. China Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 176. China Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 177. Japan Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 178. Japan Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 179. Japan Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 180. Japan Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 181. India Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 182. India Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 183. India Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 184. India Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 185. South Korea Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 186. South Korea Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 187. South Korea Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 188. South Korea Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 189. Taiwan Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 190. Taiwan Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 191. Taiwan Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 192. Taiwan Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 193. Australia Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 194. Australia Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 195. Australia Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 196. Australia Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 197. Rest of Asia-Pacific Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 198. Rest of Asia-Pacific Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 199. Rest of Asia-Pacific Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 200. Rest of Asia-Pacific Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 201. Europe Artificial Intelligence in Energy, by Country USD Million (2023-2028)
  • Table 202. Europe Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 203. Europe Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 204. Europe Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 205. Europe Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 206. Germany Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 207. Germany Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 208. Germany Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 209. Germany Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 210. France Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 211. France Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 212. France Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 213. France Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 214. Italy Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 215. Italy Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 216. Italy Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 217. Italy Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 218. United Kingdom Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 219. United Kingdom Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 220. United Kingdom Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 221. United Kingdom Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 222. Netherlands Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 223. Netherlands Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 224. Netherlands Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 225. Netherlands Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 226. Rest of Europe Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 227. Rest of Europe Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 228. Rest of Europe Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 229. Rest of Europe Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 230. MEA Artificial Intelligence in Energy, by Country USD Million (2023-2028)
  • Table 231. MEA Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 232. MEA Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 233. MEA Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 234. MEA Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 235. Middle East Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 236. Middle East Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 237. Middle East Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 238. Middle East Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 239. Africa Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 240. Africa Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 241. Africa Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 242. Africa Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 243. North America Artificial Intelligence in Energy, by Country USD Million (2023-2028)
  • Table 244. North America Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 245. North America Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 246. North America Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 247. North America Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 248. United States Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 249. United States Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 250. United States Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 251. United States Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 252. Canada Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 253. Canada Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 254. Canada Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 255. Canada Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 256. Mexico Artificial Intelligence in Energy, by Type USD Million (2023-2028)
  • Table 257. Mexico Artificial Intelligence in Energy, by Application USD Million (2023-2028)
  • Table 258. Mexico Artificial Intelligence in Energy, by Organization Size USD Million (2023-2028)
  • Table 259. Mexico Artificial Intelligence in Energy, by Deployment USD Million (2023-2028)
  • Table 260. Research Programs/Design for This Report
  • Table 261. Key Data Information from Secondary Sources
  • Table 262. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Artificial Intelligence in Energy: by Type USD Million (2017-2022)
  • Figure 5. Global Artificial Intelligence in Energy: by Application USD Million (2017-2022)
  • Figure 6. Global Artificial Intelligence in Energy: by Organization Size USD Million (2017-2022)
  • Figure 7. Global Artificial Intelligence in Energy: by Deployment USD Million (2017-2022)
  • Figure 8. South America Artificial Intelligence in Energy Share (%), by Country
  • Figure 9. Asia Pacific Artificial Intelligence in Energy Share (%), by Country
  • Figure 10. Europe Artificial Intelligence in Energy Share (%), by Country
  • Figure 11. MEA Artificial Intelligence in Energy Share (%), by Country
  • Figure 12. North America Artificial Intelligence in Energy Share (%), by Country
  • Figure 13. Global Artificial Intelligence in Energy share by Players 2022 (%)
  • Figure 14. Global Artificial Intelligence in Energy share by Players (Top 3) 2022(%)
  • Figure 15. Global Artificial Intelligence in Energy share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Alphabet (United States) Revenue, Net Income and Gross profit
  • Figure 18. Alphabet (United States) Revenue: by Geography 2022
  • Figure 19. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 20. General Electric (United States) Revenue: by Geography 2022
  • Figure 21. Siemens (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Siemens (Germany) Revenue: by Geography 2022
  • Figure 23. Watty (Sweden) Revenue, Net Income and Gross profit
  • Figure 24. Watty (Sweden) Revenue: by Geography 2022
  • Figure 25. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 26. IBM (United States) Revenue: by Geography 2022
  • Figure 27. Schneider Electric (France) Revenue, Net Income and Gross profit
  • Figure 28. Schneider Electric (France) Revenue: by Geography 2022
  • Figure 29. BuildingIQ (United States) Revenue, Net Income and Gross profit
  • Figure 30. BuildingIQ (United States) Revenue: by Geography 2022
  • Figure 31. ABB (Switzerland) Revenue, Net Income and Gross profit
  • Figure 32. ABB (Switzerland) Revenue: by Geography 2022
  • Figure 33. Grid4C (United States) Revenue, Net Income and Gross profit
  • Figure 34. Grid4C (United States) Revenue: by Geography 2022
  • Figure 35. Global Artificial Intelligence in Energy: by Type USD Million (2023-2028)
  • Figure 36. Global Artificial Intelligence in Energy: by Application USD Million (2023-2028)
  • Figure 37. Global Artificial Intelligence in Energy: by Organization Size USD Million (2023-2028)
  • Figure 38. Global Artificial Intelligence in Energy: by Deployment USD Million (2023-2028)
  • Figure 39. South America Artificial Intelligence in Energy Share (%), by Country
  • Figure 40. Asia Pacific Artificial Intelligence in Energy Share (%), by Country
  • Figure 41. Europe Artificial Intelligence in Energy Share (%), by Country
  • Figure 42. MEA Artificial Intelligence in Energy Share (%), by Country
  • Figure 43. North America Artificial Intelligence in Energy Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Alphabet (United States)
  • General Electric (United States)
  • Siemens (Germany)
  • Watty (Sweden)
  • IBM (United States)
  • Schneider Electric (France)
  • BuildingIQ (United States)
  • ABB (Switzerland)
  • Grid4C (United States)
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Frequently Asked Questions (FAQ):

The prominent players of Global Artificial Intelligence in Energy market are Alphabet (United States), General Electric (United States), Siemens (Germany), Watty (Sweden), IBM (United States), Schneider Electric (France), BuildingIQ (United States), ABB (Switzerland) and Grid4C (United States).
In this highly competitive & fast evolving Artificial Intelligence in Energy industry, the top strategic priorities would remain consistent like innovation, R&D, and M&A.
Fault Prediction, Maintenance Facilitated by Image Processing, Energy Efficiency Decision Making, Disaster Recovery and Prevention of Losses Due to Informal Connections are the potential customers of Artificial Intelligence in Energy industry.

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