1 Report Business 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, 2017 VS 2021 VS 2028
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 Size Growth Rate by Application, 2017 VS 2021 VS 2028
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
2 Global Growth Trends
2.1 Global Machine Learning in Utilities Market Perspective (2017-2028)
2.2 Machine Learning in Utilities Growth Trends by Region
2.2.1 Machine Learning in Utilities Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 Machine Learning in Utilities Historic Market Size by Region (2017-2022)
2.2.3 Machine Learning in Utilities Forecasted Market Size by Region (2023-2028)
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 (2017-2022)
3.1.2 Global Machine Learning in Utilities Revenue Market Share by Players (2017-2022)
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 2021
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 (2017-2022)
4.2 Global Machine Learning in Utilities Forecasted Market Size by Type (2023-2028)
5 Machine Learning in Utilities Breakdown Data by Application
5.1 Global Machine Learning in Utilities Historic Market Size by Application (2017-2022)
5.2 Global Machine Learning in Utilities Forecasted Market Size by Application (2023-2028)
6 North America
6.1 North America Machine Learning in Utilities Market Size (2017-2028)
6.2 North America Machine Learning in Utilities Market Size by Type
6.2.1 North America Machine Learning in Utilities Market Size by Type (2017-2022)
6.2.2 North America Machine Learning in Utilities Market Size by Type (2023-2028)
6.2.3 North America Machine Learning in Utilities Market Share by Type (2017-2028)
6.3 North America Machine Learning in Utilities Market Size by Application
6.3.1 North America Machine Learning in Utilities Market Size by Application (2017-2022)
6.3.2 North America Machine Learning in Utilities Market Size by Application (2023-2028)
6.3.3 North America Machine Learning in Utilities Market Share by Application (2017-2028)
6.4 North America Machine Learning in Utilities Market Size by Country
6.4.1 North America Machine Learning in Utilities Market Size by Country (2017-2022)
6.4.2 North America Machine Learning in Utilities Market Size by Country (2023-2028)
6.4.3 United States
6.4.4 Canada
7 Europe
7.1 Europe Machine Learning in Utilities Market Size (2017-2028)
7.2 Europe Machine Learning in Utilities Market Size by Type
7.2.1 Europe Machine Learning in Utilities Market Size by Type (2017-2022)
7.2.2 Europe Machine Learning in Utilities Market Size by Type (2023-2028)
7.2.3 Europe Machine Learning in Utilities Market Share by Type (2017-2028)
7.3 Europe Machine Learning in Utilities Market Size by Application
7.3.1 Europe Machine Learning in Utilities Market Size by Application (2017-2022)
7.3.2 Europe Machine Learning in Utilities Market Size by Application (2023-2028)
7.3.3 Europe Machine Learning in Utilities Market Share by Application (2017-2028)
7.4 Europe Machine Learning in Utilities Market Size by Country
7.4.1 Europe Machine Learning in Utilities Market Size by Country (2017-2022)
7.4.2 Europe Machine Learning in Utilities Market Size by Country (2023-2028)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning in Utilities Market Size (2017-2028)
8.2 Asia-Pacific Machine Learning in Utilities Market Size by Type
8.2.1 Asia-Pacific Machine Learning in Utilities Market Size by Type (2017-2022)
8.2.2 Asia-Pacific Machine Learning in Utilities Market Size by Type (2023-2028)
8.2.3 Asia-Pacific Machine Learning in Utilities Market Share by Type (2017-2028)
8.3 Asia-Pacific Machine Learning in Utilities Market Size by Application
8.3.1 Asia-Pacific Machine Learning in Utilities Market Size by Application (2017-2022)
8.3.2 Asia-Pacific Machine Learning in Utilities Market Size by Application (2023-2028)
8.3.3 Asia-Pacific Machine Learning in Utilities Market Share by Application (2017-2028)
8.4 Asia-Pacific Machine Learning in Utilities Market Size by Region
8.4.1 Asia-Pacific Machine Learning in Utilities Market Size by Region (2017-2022)
8.4.2 Asia-Pacific Machine Learning in Utilities Market Size by Region (2023-2028)
8.4.3 China
8.4.4 Japan
8.4.5 South Korea
8.4.6 Southeast Asia
8.4.7 India
8.4.8 Australia
9 Latin America
9.1 Latin America Machine Learning in Utilities Market Size (2017-2028)
9.2 Latin America Machine Learning in Utilities Market Size by Type
9.2.1 Latin America Machine Learning in Utilities Market Size by Type (2017-2022)
9.2.2 Latin America Machine Learning in Utilities Market Size by Type (2023-2028)
9.2.3 Latin America Machine Learning in Utilities Market Share by Type (2017-2028)
9.3 Latin America Machine Learning in Utilities Market Size by Application
9.3.1 Latin America Machine Learning in Utilities Market Size by Application (2017-2022)
9.3.2 Latin America Machine Learning in Utilities Market Size by Application (2023-2028)
9.3.3 Latin America Machine Learning in Utilities Market Share by Application (2017-2028)
9.4 Latin America Machine Learning in Utilities Market Size by Country
9.4.1 Latin America Machine Learning in Utilities Market Size by Country (2017-2022)
9.4.2 Latin America Machine Learning in Utilities Market Size by Country (2023-2028)
9.4.3 Mexico
9.4.4 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Utilities Market Size (2017-2028)
10.2 Middle East & Africa Machine Learning in Utilities Market Size by Type
10.2.1 Middle East & Africa Machine Learning in Utilities Market Size by Type (2017-2022)
10.2.2 Middle East & Africa Machine Learning in Utilities Market Size by Type (2023-2028)
10.2.3 Middle East & Africa Machine Learning in Utilities Market Share by Type (2017-2028)
10.3 Middle East & Africa Machine Learning in Utilities Market Size by Application
10.3.1 Middle East & Africa Machine Learning in Utilities Market Size by Application (2017-2022)
10.3.2 Middle East & Africa Machine Learning in Utilities Market Size by Application (2023-2028)
10.3.3 Middle East & Africa Machine Learning in Utilities Market Share by Application (2017-2028)
10.4 Middle East & Africa Machine Learning in Utilities Market Size by Country
10.4.1 Middle East & Africa Machine Learning in Utilities Market Size by Country (2017-2022)
10.4.2 Middle East & Africa Machine Learning in Utilities Market Size by Country (2023-2028)
10.4.3 Turkey
10.4.4 Saudi Arabia
10.4.5 UAE
11 Key Players Profiles
11.1 Baidu
11.1.1 Baidu Company Details
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 (2017-2022)
11.1.5 Baidu Recent Developments
11.2 Hewlett Packard Enterprise Development LP
11.2.1 Hewlett Packard Enterprise Development LP Company Details
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 (2017-2022)
11.2.5 Hewlett Packard Enterprise Development LP Recent Developments
11.3 SAS Institute, Inc.
11.3.1 SAS Institute, Inc. Company Details
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 (2017-2022)
11.3.5 SAS Institute, Inc. Recent Developments
11.4 IBM
11.4.1 IBM Company Details
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 (2017-2022)
11.4.5 IBM Recent Developments
11.5 Microsoft
11.5.1 Microsoft Company Details
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 (2017-2022)
11.5.5 Microsoft Recent Developments
11.6 Nvidia
11.6.1 Nvidia Company Details
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 (2017-2022)
11.6.5 Nvidia Recent Developments
11.7 Amazon Web Services
11.7.1 Amazon Web Services Company Details
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 (2017-2022)
11.7.5 Amazon Web Services Recent Developments
11.8 Oracle
11.8.1 Oracle Company Details
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 (2017-2022)
11.8.5 Oracle Recent Developments
11.9 SAP
11.9.1 SAP Company Details
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 (2017-2022)
11.9.5 SAP Recent Developments
11.10 BigML, Inc.
11.10.1 BigML, Inc. Company Details
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 (2017-2022)
11.10.5 BigML, Inc. Recent Developments
11.11 Fair Isaac Corporation
11.11.1 Fair Isaac Corporation Company Details
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 (2017-2022)
11.11.5 Fair Isaac Corporation Recent Developments
11.12 Intel Corporation
11.12.1 Intel Corporation Company Details
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 (2017-2022)
11.12.5 Intel Corporation Recent Developments
11.13 Google LLC
11.13.1 Google LLC Company Details
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 (2017-2022)
11.13.5 Google LLC Recent Developments
11.14 H2o.AI
11.14.1 H2o.AI Company Details
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 (2017-2022)
11.14.5 H2o.AI Recent Developments
11.15 Alpiq
11.15.1 Alpiq Company Details
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 (2017-2022)
11.15.5 Alpiq Recent Developments
11.16 SmartCloud
11.16.1 SmartCloud Company Details
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 (2017-2022)
11.16.5 SmartCloud Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Author Details
13.3 Disclaimer

 

Research Methodology

 

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analysing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.