In 2018, the global Data Science and Machine Learning Service market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Data Science and Machine Learning Service status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science and Machine Learning Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
The key players covered in this study
DataScience.com
ZS
LatentView Analytics
Mango Solutions
Microsoft
International Business Machine
Amazon Web Services
Google
Bigml
Fico
Hewlett-Packard Enterprise Development
At&T
Market segment by Type, the product can be split into
Consulting
Management Solution
Market segment by Application, split into
Banking
Insurance
Retail
Media & Entertainment
Others
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Data Science and Machine Learning Service status, future forecast, growth opportunity, key market and key players.
To present the Data Science and Machine Learning Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Data Science and Machine Learning Service are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
This report focuses on the global Data Science and Machine Learning Service status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science and Machine Learning Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
The key players covered in this study
DataScience.com
ZS
LatentView Analytics
Mango Solutions
Microsoft
International Business Machine
Amazon Web Services
Bigml
Fico
Hewlett-Packard Enterprise Development
At&T
Market segment by Type, the product can be split into
Consulting
Management Solution
Market segment by Application, split into
Banking
Insurance
Retail
Media & Entertainment
Others
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Data Science and Machine Learning Service status, future forecast, growth opportunity, key market and key players.
To present the Data Science and Machine Learning Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Data Science and Machine Learning Service are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Table of Contents
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Data Science and Machine Learning Service Market Size Growth Rate by Type (2014-2025)
1.4.2 Consulting
1.4.3 Management Solution
1.5 Market by Application
1.5.1 Global Data Science and Machine Learning Service Market Share by Application (2019-2025)
1.5.2 Banking
1.5.3 Insurance
1.5.4 Retail
1.5.5 Media & Entertainment
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Data Science and Machine Learning Service Market Size
2.2 Data Science and Machine Learning Service Growth Trends by Regions
2.2.1 Data Science and Machine Learning Service Market Size by Regions (2019-2025)
2.2.2 Data Science and Machine Learning Service Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 PorterŐs Five Forces Analysis
3 Market Share by Key Players
3.1 Data Science and Machine Learning Service Market Size by by Players
3.1.1 Global Data Science and Machine Learning Service Revenue by by Players (2014-2019)
3.1.2 Global Data Science and Machine Learning Service Revenue Market Share by by Players (2014-2019)
3.1.3 Global Data Science and Machine Learning Service Market Concentration Ratio (CR5 and HHI)
3.2 Data Science and Machine Learning Service Key Players Head office and Area Served
3.3 Key Players Data Science and Machine Learning Service Product/Solution/Service
3.4 Date of Enter into Data Science and Machine Learning Service Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
4.1 Global Data Science and Machine Learning Service Market Size by Type (2014-2019)
4.2 Global Data Science and Machine Learning Service Market Size by Application (2014-2019)
5 North America
5.1 North America Data Science and Machine Learning Service Market Size (2014-2019)
5.2 Data Science and Machine Learning Service Key Players in North America
5.3 North America Data Science and Machine Learning Service Market Size by Type
5.4 North America Data Science and Machine Learning Service Market Size by Application
6 Europe
6.1 Europe Data Science and Machine Learning Service Market Size (2014-2019)
6.2 Data Science and Machine Learning Service Key Players in Europe
6.3 Europe Data Science and Machine Learning Service Market Size by Type
6.4 Europe Data Science and Machine Learning Service Market Size by Application
7 China
7.1 China Data Science and Machine Learning Service Market Size (2014-2019)
7.2 Data Science and Machine Learning Service Key Players in China
7.3 China Data Science and Machine Learning Service Market Size by Type
7.4 China Data Science and Machine Learning Service Market Size by Application
8 Japan
8.1 Japan Data Science and Machine Learning Service Market Size (2014-2019)
8.2 Data Science and Machine Learning Service Key Players in Japan
8.3 Japan Data Science and Machine Learning Service Market Size by Type
8.4 Japan Data Science and Machine Learning Service Market Size by Application
9 Southeast Asia
9.1 Southeast Asia Data Science and Machine Learning Service Market Size (2014-2019)
9.2 Data Science and Machine Learning Service Key Players in Southeast Asia
9.3 Southeast Asia Data Science and Machine Learning Service Market Size by Type
9.4 Southeast Asia Data Science and Machine Learning Service Market Size by Application
10 India
10.1 India Data Science and Machine Learning Service Market Size (2014-2019)
10.2 Data Science and Machine Learning Service Key Players in India
10.3 India Data Science and Machine Learning Service Market Size by Type
10.4 India Data Science and Machine Learning Service Market Size by Application
11 Central & South America
11.1 Central & South America Data Science and Machine Learning Service Market Size (2014-2019)
11.2 Data Science and Machine Learning Service Key Players in Central & South America
11.3 Central & South America Data Science and Machine Learning Service Market Size by Type
11.4 Central & South America Data Science and Machine Learning Service Market Size by Application
12 International Players Profiles
12.1 DataScience.com
12.1.1 DataScience.com Company Details
12.1.2 Company Description and Business Overview
12.1.3 Data Science and Machine Learning Service Introduction
12.1.4 DataScience.com Revenue in Data Science and Machine Learning Service Business (2014-2019))
12.1.5 DataScience.com Recent Development
12.2 ZS
12.2.1 ZS Company Details
12.2.2 Company Description and Business Overview
12.2.3 Data Science and Machine Learning Service Introduction
12.2.4 ZS Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.2.5 ZS Recent Development
12.3 LatentView Analytics
12.3.1 LatentView Analytics Company Details
12.3.2 Company Description and Business Overview
12.3.3 Data Science and Machine Learning Service Introduction
12.3.4 LatentView Analytics Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.3.5 LatentView Analytics Recent Development
12.4 Mango Solutions
12.4.1 Mango Solutions Company Details
12.4.2 Company Description and Business Overview
12.4.3 Data Science and Machine Learning Service Introduction
12.4.4 Mango Solutions Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.4.5 Mango Solutions Recent Development
12.5 Microsoft
12.5.1 Microsoft Company Details
12.5.2 Company Description and Business Overview
12.5.3 Data Science and Machine Learning Service Introduction
12.5.4 Microsoft Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.5.5 Microsoft Recent Development
12.6 International Business Machine
12.6.1 International Business Machine Company Details
12.6.2 Company Description and Business Overview
12.6.3 Data Science and Machine Learning Service Introduction
12.6.4 International Business Machine Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.6.5 International Business Machine Recent Development
12.7 Amazon Web Services
12.7.1 Amazon Web Services Company Details
12.7.2 Company Description and Business Overview
12.7.3 Data Science and Machine Learning Service Introduction
12.7.4 Amazon Web Services Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.7.5 Amazon Web Services Recent Development
12.8 Google
12.8.1 Google Company Details
12.8.2 Company Description and Business Overview
12.8.3 Data Science and Machine Learning Service Introduction
12.8.4 Google Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.8.5 Google Recent Development
12.9 Bigml
12.9.1 Bigml Company Details
12.9.2 Company Description and Business Overview
12.9.3 Data Science and Machine Learning Service Introduction
12.9.4 Bigml Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.9.5 Bigml Recent Development
12.10 Fico
12.10.1 Fico Company Details
12.10.2 Company Description and Business Overview
12.10.3 Data Science and Machine Learning Service Introduction
12.10.4 Fico Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.10.5 Fico Recent Development
12.11 Hewlett-Packard Enterprise Development
12.12 At&T
13 Market Forecast 2019-2025
13.1 Market Size Forecast by Product (2019-2025)
13.2 Market Size Forecast by Application (2019-2025)
13.3 Market Size Forecast by Regions
13.4 North America
13.5 Europe
13.6 China
13.7 Japan
13.8 Southeast Asia
13.9 India
13.10 Central & South America
14 Analyst's Viewpoints/Conclusions
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Data Science and Machine Learning Service Market Size Growth Rate by Type (2014-2025)
1.4.2 Consulting
1.4.3 Management Solution
1.5 Market by Application
1.5.1 Global Data Science and Machine Learning Service Market Share by Application (2019-2025)
1.5.2 Banking
1.5.3 Insurance
1.5.4 Retail
1.5.5 Media & Entertainment
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Data Science and Machine Learning Service Market Size
2.2 Data Science and Machine Learning Service Growth Trends by Regions
2.2.1 Data Science and Machine Learning Service Market Size by Regions (2019-2025)
2.2.2 Data Science and Machine Learning Service Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 PorterŐs Five Forces Analysis
3 Market Share by Key Players
3.1 Data Science and Machine Learning Service Market Size by by Players
3.1.1 Global Data Science and Machine Learning Service Revenue by by Players (2014-2019)
3.1.2 Global Data Science and Machine Learning Service Revenue Market Share by by Players (2014-2019)
3.1.3 Global Data Science and Machine Learning Service Market Concentration Ratio (CR5 and HHI)
3.2 Data Science and Machine Learning Service Key Players Head office and Area Served
3.3 Key Players Data Science and Machine Learning Service Product/Solution/Service
3.4 Date of Enter into Data Science and Machine Learning Service Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
4.1 Global Data Science and Machine Learning Service Market Size by Type (2014-2019)
4.2 Global Data Science and Machine Learning Service Market Size by Application (2014-2019)
5 North America
5.1 North America Data Science and Machine Learning Service Market Size (2014-2019)
5.2 Data Science and Machine Learning Service Key Players in North America
5.3 North America Data Science and Machine Learning Service Market Size by Type
5.4 North America Data Science and Machine Learning Service Market Size by Application
6 Europe
6.1 Europe Data Science and Machine Learning Service Market Size (2014-2019)
6.2 Data Science and Machine Learning Service Key Players in Europe
6.3 Europe Data Science and Machine Learning Service Market Size by Type
6.4 Europe Data Science and Machine Learning Service Market Size by Application
7 China
7.1 China Data Science and Machine Learning Service Market Size (2014-2019)
7.2 Data Science and Machine Learning Service Key Players in China
7.3 China Data Science and Machine Learning Service Market Size by Type
7.4 China Data Science and Machine Learning Service Market Size by Application
8 Japan
8.1 Japan Data Science and Machine Learning Service Market Size (2014-2019)
8.2 Data Science and Machine Learning Service Key Players in Japan
8.3 Japan Data Science and Machine Learning Service Market Size by Type
8.4 Japan Data Science and Machine Learning Service Market Size by Application
9 Southeast Asia
9.1 Southeast Asia Data Science and Machine Learning Service Market Size (2014-2019)
9.2 Data Science and Machine Learning Service Key Players in Southeast Asia
9.3 Southeast Asia Data Science and Machine Learning Service Market Size by Type
9.4 Southeast Asia Data Science and Machine Learning Service Market Size by Application
10 India
10.1 India Data Science and Machine Learning Service Market Size (2014-2019)
10.2 Data Science and Machine Learning Service Key Players in India
10.3 India Data Science and Machine Learning Service Market Size by Type
10.4 India Data Science and Machine Learning Service Market Size by Application
11 Central & South America
11.1 Central & South America Data Science and Machine Learning Service Market Size (2014-2019)
11.2 Data Science and Machine Learning Service Key Players in Central & South America
11.3 Central & South America Data Science and Machine Learning Service Market Size by Type
11.4 Central & South America Data Science and Machine Learning Service Market Size by Application
12 International Players Profiles
12.1 DataScience.com
12.1.1 DataScience.com Company Details
12.1.2 Company Description and Business Overview
12.1.3 Data Science and Machine Learning Service Introduction
12.1.4 DataScience.com Revenue in Data Science and Machine Learning Service Business (2014-2019))
12.1.5 DataScience.com Recent Development
12.2 ZS
12.2.1 ZS Company Details
12.2.2 Company Description and Business Overview
12.2.3 Data Science and Machine Learning Service Introduction
12.2.4 ZS Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.2.5 ZS Recent Development
12.3 LatentView Analytics
12.3.1 LatentView Analytics Company Details
12.3.2 Company Description and Business Overview
12.3.3 Data Science and Machine Learning Service Introduction
12.3.4 LatentView Analytics Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.3.5 LatentView Analytics Recent Development
12.4 Mango Solutions
12.4.1 Mango Solutions Company Details
12.4.2 Company Description and Business Overview
12.4.3 Data Science and Machine Learning Service Introduction
12.4.4 Mango Solutions Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.4.5 Mango Solutions Recent Development
12.5 Microsoft
12.5.1 Microsoft Company Details
12.5.2 Company Description and Business Overview
12.5.3 Data Science and Machine Learning Service Introduction
12.5.4 Microsoft Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.5.5 Microsoft Recent Development
12.6 International Business Machine
12.6.1 International Business Machine Company Details
12.6.2 Company Description and Business Overview
12.6.3 Data Science and Machine Learning Service Introduction
12.6.4 International Business Machine Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.6.5 International Business Machine Recent Development
12.7 Amazon Web Services
12.7.1 Amazon Web Services Company Details
12.7.2 Company Description and Business Overview
12.7.3 Data Science and Machine Learning Service Introduction
12.7.4 Amazon Web Services Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.7.5 Amazon Web Services Recent Development
12.8 Google
12.8.1 Google Company Details
12.8.2 Company Description and Business Overview
12.8.3 Data Science and Machine Learning Service Introduction
12.8.4 Google Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.8.5 Google Recent Development
12.9 Bigml
12.9.1 Bigml Company Details
12.9.2 Company Description and Business Overview
12.9.3 Data Science and Machine Learning Service Introduction
12.9.4 Bigml Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.9.5 Bigml Recent Development
12.10 Fico
12.10.1 Fico Company Details
12.10.2 Company Description and Business Overview
12.10.3 Data Science and Machine Learning Service Introduction
12.10.4 Fico Revenue in Data Science and Machine Learning Service Business (2014-2019)
12.10.5 Fico Recent Development
12.11 Hewlett-Packard Enterprise Development
12.12 At&T
13 Market Forecast 2019-2025
13.1 Market Size Forecast by Product (2019-2025)
13.2 Market Size Forecast by Application (2019-2025)
13.3 Market Size Forecast by Regions
13.4 North America
13.5 Europe
13.6 China
13.7 Japan
13.8 Southeast Asia
13.9 India
13.10 Central & South America
14 Analyst's Viewpoints/Conclusions
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details
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.