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Global Machine Learning in Utilities Market Research Report 2025
Synopsis
The global Machine Learning in Utilities market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning in Utilities is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning in Utilities is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Learning in Utilities in Renewable Energy Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Learning in Utilities include Baidu, Hewlett Packard Enterprise Development LP, SAS Institute, Inc., IBM, Microsoft, Nvidia, Amazon Web Services, Oracle and SAP, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Utilities, 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 Machine Learning in Utilities.
Report Scope
The Machine Learning in Utilities 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 Machine Learning in Utilities 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 Machine Learning in Utilities 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
Baidu
Hewlett Packard Enterprise Development LP
SAS Institute, Inc.
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
BigML, Inc.
Fair Isaac Corporation
Intel Corporation
Google LLC
H2o.AI
Alpiq
SmartCloud
Segment by Type
Hardware
Software
Service
Segment by Application
Renewable Energy Management
Demand Forecast
Safety and Security
Infrastructure
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Machine Learning in Utilities 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.
The global Machine Learning in Utilities market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning in Utilities is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning in Utilities is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Learning in Utilities in Renewable Energy Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Learning in Utilities include Baidu, Hewlett Packard Enterprise Development LP, SAS Institute, Inc., IBM, Microsoft, Nvidia, Amazon Web Services, Oracle and SAP, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Utilities, 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 Machine Learning in Utilities.
Report Scope
The Machine Learning in Utilities 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 Machine Learning in Utilities 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 Machine Learning in Utilities 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
Baidu
Hewlett Packard Enterprise Development LP
SAS Institute, Inc.
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
BigML, Inc.
Fair Isaac Corporation
Intel Corporation
Google LLC
H2o.AI
Alpiq
SmartCloud
Segment by Type
Hardware
Software
Service
Segment by Application
Renewable Energy Management
Demand Forecast
Safety and Security
Infrastructure
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Machine Learning in Utilities 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Utilities Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Machine Learning in Utilities Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Renewable Energy Management
1.3.3 Demand Forecast
1.3.4 Safety and Security
1.3.5 Infrastructure
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Utilities Market Perspective (2019-2030)
2.2 Machine Learning in Utilities Growth Trends by Region
2.2.1 Global Machine Learning in Utilities Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Utilities Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Utilities Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning in Utilities Market Dynamics
2.3.1 Machine Learning in Utilities Industry Trends
2.3.2 Machine Learning in Utilities Market Drivers
2.3.3 Machine Learning in Utilities Market Challenges
2.3.4 Machine Learning in Utilities Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning in Utilities Players by Revenue
3.1.1 Global Top Machine Learning in Utilities Players by Revenue (2019-2024)
3.1.2 Global Machine Learning in Utilities Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Utilities Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning in Utilities Revenue
3.4 Global Machine Learning in Utilities Market Concentration Ratio
3.4.1 Global Machine Learning in Utilities Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Utilities Revenue in 2023
3.5 Machine Learning in Utilities Key Players Head office and Area Served
3.6 Key Players Machine Learning in Utilities Product Solution and Service
3.7 Date of Enter into Machine Learning in Utilities Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Utilities Breakdown Data by Type
4.1 Global Machine Learning in Utilities Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning in Utilities Forecasted Market Size by Type (2025-2030)
5 Machine Learning in Utilities Breakdown Data by Application
5.1 Global Machine Learning in Utilities Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning in Utilities Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Utilities Market Size (2019-2030)
6.2 North America Machine Learning in Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning in Utilities Market Size by Country (2019-2024)
6.4 North America Machine Learning in Utilities Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Utilities Market Size (2019-2030)
7.2 Europe Machine Learning in Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning in Utilities Market Size by Country (2019-2024)
7.4 Europe Machine Learning in Utilities 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 Machine Learning in Utilities Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning in Utilities Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning in Utilities Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning in Utilities 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 Machine Learning in Utilities Market Size (2019-2030)
9.2 Latin America Machine Learning in Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning in Utilities Market Size by Country (2019-2024)
9.4 Latin America Machine Learning in Utilities Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Utilities Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning in Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning in Utilities Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning in Utilities Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Baidu
11.1.1 Baidu Company Detail
11.1.2 Baidu Business Overview
11.1.3 Baidu Machine Learning in Utilities Introduction
11.1.4 Baidu Revenue in Machine Learning in Utilities Business (2019-2024)
11.1.5 Baidu Recent Development
11.2 Hewlett Packard Enterprise Development LP
11.2.1 Hewlett Packard Enterprise Development LP Company Detail
11.2.2 Hewlett Packard Enterprise Development LP Business Overview
11.2.3 Hewlett Packard Enterprise Development LP Machine Learning in Utilities Introduction
11.2.4 Hewlett Packard Enterprise Development LP Revenue in Machine Learning in Utilities Business (2019-2024)
11.2.5 Hewlett Packard Enterprise Development LP Recent Development
11.3 SAS Institute, Inc.
11.3.1 SAS Institute, Inc. Company Detail
11.3.2 SAS Institute, Inc. Business Overview
11.3.3 SAS Institute, Inc. Machine Learning in Utilities Introduction
11.3.4 SAS Institute, Inc. Revenue in Machine Learning in Utilities Business (2019-2024)
11.3.5 SAS Institute, Inc. Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM Machine Learning in Utilities Introduction
11.4.4 IBM Revenue in Machine Learning in Utilities Business (2019-2024)
11.4.5 IBM Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Machine Learning in Utilities Introduction
11.5.4 Microsoft Revenue in Machine Learning in Utilities Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 Nvidia
11.6.1 Nvidia Company Detail
11.6.2 Nvidia Business Overview
11.6.3 Nvidia Machine Learning in Utilities Introduction
11.6.4 Nvidia Revenue in Machine Learning in Utilities Business (2019-2024)
11.6.5 Nvidia Recent Development
11.7 Amazon Web Services
11.7.1 Amazon Web Services Company Detail
11.7.2 Amazon Web Services Business Overview
11.7.3 Amazon Web Services Machine Learning in Utilities Introduction
11.7.4 Amazon Web Services Revenue in Machine Learning in Utilities Business (2019-2024)
11.7.5 Amazon Web Services Recent Development
11.8 Oracle
11.8.1 Oracle Company Detail
11.8.2 Oracle Business Overview
11.8.3 Oracle Machine Learning in Utilities Introduction
11.8.4 Oracle Revenue in Machine Learning in Utilities Business (2019-2024)
11.8.5 Oracle Recent Development
11.9 SAP
11.9.1 SAP Company Detail
11.9.2 SAP Business Overview
11.9.3 SAP Machine Learning in Utilities Introduction
11.9.4 SAP Revenue in Machine Learning in Utilities Business (2019-2024)
11.9.5 SAP Recent Development
11.10 BigML, Inc.
11.10.1 BigML, Inc. Company Detail
11.10.2 BigML, Inc. Business Overview
11.10.3 BigML, Inc. Machine Learning in Utilities Introduction
11.10.4 BigML, Inc. Revenue in Machine Learning in Utilities Business (2019-2024)
11.10.5 BigML, Inc. Recent Development
11.11 Fair Isaac Corporation
11.11.1 Fair Isaac Corporation Company Detail
11.11.2 Fair Isaac Corporation Business Overview
11.11.3 Fair Isaac Corporation Machine Learning in Utilities Introduction
11.11.4 Fair Isaac Corporation Revenue in Machine Learning in Utilities Business (2019-2024)
11.11.5 Fair Isaac Corporation Recent Development
11.12 Intel Corporation
11.12.1 Intel Corporation Company Detail
11.12.2 Intel Corporation Business Overview
11.12.3 Intel Corporation Machine Learning in Utilities Introduction
11.12.4 Intel Corporation Revenue in Machine Learning in Utilities Business (2019-2024)
11.12.5 Intel Corporation Recent Development
11.13 Google LLC
11.13.1 Google LLC Company Detail
11.13.2 Google LLC Business Overview
11.13.3 Google LLC Machine Learning in Utilities Introduction
11.13.4 Google LLC Revenue in Machine Learning in Utilities Business (2019-2024)
11.13.5 Google LLC Recent Development
11.14 H2o.AI
11.14.1 H2o.AI Company Detail
11.14.2 H2o.AI Business Overview
11.14.3 H2o.AI Machine Learning in Utilities Introduction
11.14.4 H2o.AI Revenue in Machine Learning in Utilities Business (2019-2024)
11.14.5 H2o.AI Recent Development
11.15 Alpiq
11.15.1 Alpiq Company Detail
11.15.2 Alpiq Business Overview
11.15.3 Alpiq Machine Learning in Utilities Introduction
11.15.4 Alpiq Revenue in Machine Learning in Utilities Business (2019-2024)
11.15.5 Alpiq Recent Development
11.16 SmartCloud
11.16.1 SmartCloud Company Detail
11.16.2 SmartCloud Business Overview
11.16.3 SmartCloud Machine Learning in Utilities Introduction
11.16.4 SmartCloud Revenue in Machine Learning in Utilities Business (2019-2024)
11.16.5 SmartCloud 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
List of TablesList of Tables
Table 1. Global Machine Learning in Utilities Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030
Table 2. Key Players of Hardware
Table 3. Key Players of Software
Table 4. Key Players of Service
Table 5. Global Machine Learning in Utilities Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
Table 6. Global Machine Learning in Utilities Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
Table 7. Global Machine Learning in Utilities Market Size by Region (2019-2024) & (US$ Million)
Table 8. Global Machine Learning in Utilities Market Share by Region (2019-2024)
Table 9. Global Machine Learning in Utilities Forecasted Market Size by Region (2025-2030) & (US$ Million)
Table 10. Global Machine Learning in Utilities Market Share by Region (2025-2030)
Table 11. Machine Learning in Utilities Market Trends
Table 12. Machine Learning in Utilities Market Drivers
Table 13. Machine Learning in Utilities Market Challenges
Table 14. Machine Learning in Utilities Market Restraints
Table 15. Global Machine Learning in Utilities Revenue by Players (2019-2024) & (US$ Million)
Table 16. Global Machine Learning in Utilities Market Share by Players (2019-2024)
Table 17. Global Top Machine Learning in Utilities Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning in Utilities as of 2023)
Table 18. Ranking of Global Top Machine Learning in Utilities Companies by Revenue (US$ Million) in 2023
Table 19. Global 5 Largest Players Market Share by Machine Learning in Utilities Revenue (CR5 and HHI) & (2019-2024)
Table 20. Key Players Headquarters and Area Served
Table 21. Key Players Machine Learning in Utilities Product Solution and Service
Table 22. Date of Enter into Machine Learning in Utilities Market
Table 23. Mergers & Acquisitions, Expansion Plans
Table 24. Global Machine Learning in Utilities Market Size by Type (2019-2024) & (US$ Million)
Table 25. Global Machine Learning in Utilities Revenue Market Share by Type (2019-2024)
Table 26. Global Machine Learning in Utilities Forecasted Market Size by Type (2025-2030) & (US$ Million)
Table 27. Global Machine Learning in Utilities Revenue Market Share by Type (2025-2030)
Table 28. Global Machine Learning in Utilities Market Size by Application (2019-2024) & (US$ Million)
Table 29. Global Machine Learning in Utilities Revenue Market Share by Application (2019-2024)
Table 30. Global Machine Learning in Utilities Forecasted Market Size by Application (2025-2030) & (US$ Million)
Table 31. Global Machine Learning in Utilities Revenue Market Share by Application (2025-2030)
Table 32. North America Machine Learning in Utilities Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 33. North America Machine Learning in Utilities Market Size by Country (2019-2024) & (US$ Million)
Table 34. North America Machine Learning in Utilities Market Size by Country (2025-2030) & (US$ Million)
Table 35. Europe Machine Learning in Utilities Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 36. Europe Machine Learning in Utilities Market Size by Country (2019-2024) & (US$ Million)
Table 37. Europe Machine Learning in Utilities Market Size by Country (2025-2030) & (US$ Million)
Table 38. Asia-Pacific Machine Learning in Utilities Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030
Table 39. Asia-Pacific Machine Learning in Utilities Market Size by Region (2019-2024) & (US$ Million)
Table 40. Asia-Pacific Machine Learning in Utilities Market Size by Region (2025-2030) & (US$ Million)
Table 41. Latin America Machine Learning in Utilities Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 42. Latin America Machine Learning in Utilities Market Size by Country (2019-2024) & (US$ Million)
Table 43. Latin America Machine Learning in Utilities Market Size by Country (2025-2030) & (US$ Million)
Table 44. Middle East & Africa Machine Learning in Utilities Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 45. Middle East & Africa Machine Learning in Utilities Market Size by Country (2019-2024) & (US$ Million)
Table 46. Middle East & Africa Machine Learning in Utilities Market Size by Country (2025-2030) & (US$ Million)
Table 47. Baidu Company Detail
Table 48. Baidu Business Overview
Table 49. Baidu Machine Learning in Utilities Product
Table 50. Baidu Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 51. Baidu Recent Development
Table 52. Hewlett Packard Enterprise Development LP Company Detail
Table 53. Hewlett Packard Enterprise Development LP Business Overview
Table 54. Hewlett Packard Enterprise Development LP Machine Learning in Utilities Product
Table 55. Hewlett Packard Enterprise Development LP Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 56. Hewlett Packard Enterprise Development LP Recent Development
Table 57. SAS Institute, Inc. Company Detail
Table 58. SAS Institute, Inc. Business Overview
Table 59. SAS Institute, Inc. Machine Learning in Utilities Product
Table 60. SAS Institute, Inc. Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 61. SAS Institute, Inc. Recent Development
Table 62. IBM Company Detail
Table 63. IBM Business Overview
Table 64. IBM Machine Learning in Utilities Product
Table 65. IBM Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 66. IBM Recent Development
Table 67. Microsoft Company Detail
Table 68. Microsoft Business Overview
Table 69. Microsoft Machine Learning in Utilities Product
Table 70. Microsoft Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 71. Microsoft Recent Development
Table 72. Nvidia Company Detail
Table 73. Nvidia Business Overview
Table 74. Nvidia Machine Learning in Utilities Product
Table 75. Nvidia Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 76. Nvidia Recent Development
Table 77. Amazon Web Services Company Detail
Table 78. Amazon Web Services Business Overview
Table 79. Amazon Web Services Machine Learning in Utilities Product
Table 80. Amazon Web Services Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 81. Amazon Web Services Recent Development
Table 82. Oracle Company Detail
Table 83. Oracle Business Overview
Table 84. Oracle Machine Learning in Utilities Product
Table 85. Oracle Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 86. Oracle Recent Development
Table 87. SAP Company Detail
Table 88. SAP Business Overview
Table 89. SAP Machine Learning in Utilities Product
Table 90. SAP Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 91. SAP Recent Development
Table 92. BigML, Inc. Company Detail
Table 93. BigML, Inc. Business Overview
Table 94. BigML, Inc. Machine Learning in Utilities Product
Table 95. BigML, Inc. Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 96. BigML, Inc. Recent Development
Table 97. Fair Isaac Corporation Company Detail
Table 98. Fair Isaac Corporation Business Overview
Table 99. Fair Isaac Corporation Machine Learning in Utilities Product
Table 100. Fair Isaac Corporation Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 101. Fair Isaac Corporation Recent Development
Table 102. Intel Corporation Company Detail
Table 103. Intel Corporation Business Overview
Table 104. Intel Corporation Machine Learning in Utilities Product
Table 105. Intel Corporation Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 106. Intel Corporation Recent Development
Table 107. Google LLC Company Detail
Table 108. Google LLC Business Overview
Table 109. Google LLC Machine Learning in Utilities Product
Table 110. Google LLC Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 111. Google LLC Recent Development
Table 112. H2o.AI Company Detail
Table 113. H2o.AI Business Overview
Table 114. H2o.AI Machine Learning in Utilities Product
Table 115. H2o.AI Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 116. H2o.AI Recent Development
Table 117. Alpiq Company Detail
Table 118. Alpiq Business Overview
Table 119. Alpiq Machine Learning in Utilities Product
Table 120. Alpiq Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 121. Alpiq Recent Development
Table 122. SmartCloud Company Detail
Table 123. SmartCloud Business Overview
Table 124. SmartCloud Machine Learning in Utilities Product
Table 125. SmartCloud Revenue in Machine Learning in Utilities Business (2019-2024) & (US$ Million)
Table 126. SmartCloud Recent Development
Table 127. Research Programs/Design for This Report
Table 128. Key Data Information from Secondary Sources
Table 129. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Machine Learning in Utilities Market Size Comparison by Type (2024-2030) & (US$ Million)
Figure 2. Global Machine Learning in Utilities Market Share by Type: 2023 VS 2030
Figure 3. Hardware Features
Figure 4. Software Features
Figure 5. Service Features
Figure 6. Global Machine Learning in Utilities Market Size Comparison by Application (2024-2030) & (US$ Million)
Figure 7. Global Machine Learning in Utilities Market Share by Application: 2023 VS 2030
Figure 8. Renewable Energy Management Case Studies
Figure 9. Demand Forecast Case Studies
Figure 10. Safety and Security Case Studies
Figure 11. Infrastructure Case Studies
Figure 12. Other Case Studies
Figure 13. Machine Learning in Utilities Report Years Considered
Figure 14. Global Machine Learning in Utilities Market Size (US$ Million), Year-over-Year: 2019-2030
Figure 15. Global Machine Learning in Utilities Market Size, (US$ Million), 2019 VS 2023 VS 2030
Figure 16. Global Machine Learning in Utilities Market Share by Region: 2023 VS 2030
Figure 17. Global Machine Learning in Utilities Market Share by Players in 2023
Figure 18. Global Top Machine Learning in Utilities Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning in Utilities as of 2023)
Figure 19. The Top 10 and 5 Players Market Share by Machine Learning in Utilities Revenue in 2023
Figure 20. North America Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 21. North America Machine Learning in Utilities Market Share by Country (2019-2030)
Figure 22. United States Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 23. Canada Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 24. Europe Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 25. Europe Machine Learning in Utilities Market Share by Country (2019-2030)
Figure 26. Germany Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 27. France Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 28. U.K. Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 29. Italy Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 30. Russia Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 31. Nordic Countries Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 32. Asia-Pacific Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 33. Asia-Pacific Machine Learning in Utilities Market Share by Region (2019-2030)
Figure 34. China Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 35. Japan Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 36. South Korea Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 37. Southeast Asia Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 38. India Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 39. Australia Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 40. Latin America Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 41. Latin America Machine Learning in Utilities Market Share by Country (2019-2030)
Figure 42. Mexico Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 43. Brazil Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 44. Middle East & Africa Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 45. Middle East & Africa Machine Learning in Utilities Market Share by Country (2019-2030)
Figure 46. Turkey Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 47. Saudi Arabia Machine Learning in Utilities Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 48. Baidu Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 49. Hewlett Packard Enterprise Development LP Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 50. SAS Institute, Inc. Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 51. IBM Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 52. Microsoft Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 53. Nvidia Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 54. Amazon Web Services Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 55. Oracle Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 56. SAP Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 57. BigML, Inc. Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 58. Fair Isaac Corporation Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 59. Intel Corporation Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 60. Google LLC Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 61. H2o.AI Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 62. Alpiq Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 63. SmartCloud Revenue Growth Rate in Machine Learning in Utilities Business (2019-2024)
Figure 64. Bottom-up and Top-down Approaches for This Report
Figure 65. Data Triangulation
Figure 66. Key Executives Interviewed
Published By : QY Research
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