Global Data Science Platform Market Size, Status, Research and Forecast 2019-2025

Published On: Jul 2019

Format: PDF

Publisher: QY Research

Pages: 107

Report ID: 3341

In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).
The on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data.
In 2018, the global Data Science Platform market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 28.9% during 2019-2025.

This report focuses on the global Data Science Platform status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science Platform development in United States, Europe and China.

The key players covered in this study
Microsoft
IBM
Google
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs

Market segment by Type, the product can be split into
On-Premises
On-Demand

Market segment by Application, split into
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Data Science Platform status, future forecast, growth opportunity, key market and key players.
To present the Data Science Platform development in United States, Europe and China.
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 Platform 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 Platform Market Size Growth Rate by Type (2014-2025)
1.4.2 On-Premises
1.4.3 On-Demand
1.5 Market by Application
1.5.1 Global Data Science Platform Market Share by Application (2014-2025)
1.5.2 Marketing
1.5.3 Sales
1.5.4 Logistics
1.5.5 Risk
1.5.6 Customer Support
1.5.7 Human Resources
1.5.8 Operations
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Data Science Platform Market Size
2.2 Data Science Platform Growth Trends by Regions
2.2.1 Data Science Platform Market Size by Regions (2014-2025)
2.2.2 Data Science Platform 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 Opportunities

3 Market Share by Key Players
3.1 Data Science Platform Market Size by Manufacturers
3.1.1 Global Data Science Platform Revenue by Manufacturers (2014-2019)
3.1.2 Global Data Science Platform Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Data Science Platform Market Concentration Ratio (CR5 and HHI)
3.2 Data Science Platform Key Players Head office and Area Served
3.3 Key Players Data Science Platform Product/Solution/Service
3.4 Date of Enter into Data Science Platform Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
4.1 Global Data Science Platform Market Size by Type (2014-2019)
4.2 Global Data Science Platform Market Size by Application (2014-2019)

5 United States
5.1 United States Data Science Platform Market Size (2014-2019)
5.2 Data Science Platform Key Players in United States
5.3 United States Data Science Platform Market Size by Type
5.4 United States Data Science Platform Market Size by Application

6 Europe
6.1 Europe Data Science Platform Market Size (2014-2019)
6.2 Data Science Platform Key Players in Europe
6.3 Europe Data Science Platform Market Size by Type
6.4 Europe Data Science Platform Market Size by Application

7 China
7.1 China Data Science Platform Market Size (2014-2019)
7.2 Data Science Platform Key Players in China
7.3 China Data Science Platform Market Size by Type
7.4 China Data Science Platform Market Size by Application

8 Japan
8.1 Japan Data Science Platform Market Size (2014-2019)
8.2 Data Science Platform Key Players in Japan
8.3 Japan Data Science Platform Market Size by Type
8.4 Japan Data Science Platform Market Size by Application

9 Southeast Asia
9.1 Southeast Asia Data Science Platform Market Size (2014-2019)
9.2 Data Science Platform Key Players in Southeast Asia
9.3 Southeast Asia Data Science Platform Market Size by Type
9.4 Southeast Asia Data Science Platform Market Size by Application

10 India
10.1 India Data Science Platform Market Size (2014-2019)
10.2 Data Science Platform Key Players in India
10.3 India Data Science Platform Market Size by Type
10.4 India Data Science Platform Market Size by Application

11 Central & South America
11.1 Central & South America Data Science Platform Market Size (2014-2019)
11.2 Data Science Platform Key Players in Central & South America
11.3 Central & South America Data Science Platform Market Size by Type
11.4 Central & South America Data Science Platform Market Size by Application

12 International Players Profiles
12.1 Microsoft
12.1.1 Microsoft Company Details
12.1.2 Company Description and Business Overview
12.1.3 Data Science Platform Introduction
12.1.4 Microsoft Revenue in Data Science Platform Business (2014-2019)
12.1.5 Microsoft Recent Development
12.2 IBM
12.2.1 IBM Company Details
12.2.2 Company Description and Business Overview
12.2.3 Data Science Platform Introduction
12.2.4 IBM Revenue in Data Science Platform Business (2014-2019)
12.2.5 IBM Recent Development
12.3 Google
12.3.1 Google Company Details
12.3.2 Company Description and Business Overview
12.3.3 Data Science Platform Introduction
12.3.4 Google Revenue in Data Science Platform Business (2014-2019)
12.3.5 Google Recent Development
12.4 Wolfram
12.4.1 Wolfram Company Details
12.4.2 Company Description and Business Overview
12.4.3 Data Science Platform Introduction
12.4.4 Wolfram Revenue in Data Science Platform Business (2014-2019)
12.4.5 Wolfram Recent Development
12.5 Datarobot
12.5.1 Datarobot Company Details
12.5.2 Company Description and Business Overview
12.5.3 Data Science Platform Introduction
12.5.4 Datarobot Revenue in Data Science Platform Business (2014-2019)
12.5.5 Datarobot Recent Development
12.6 Cloudera
12.6.1 Cloudera Company Details
12.6.2 Company Description and Business Overview
12.6.3 Data Science Platform Introduction
12.6.4 Cloudera Revenue in Data Science Platform Business (2014-2019)
12.6.5 Cloudera Recent Development
12.7 Rapidminer
12.7.1 Rapidminer Company Details
12.7.2 Company Description and Business Overview
12.7.3 Data Science Platform Introduction
12.7.4 Rapidminer Revenue in Data Science Platform Business (2014-2019)
12.7.5 Rapidminer Recent Development
12.8 Domino Data Lab
12.8.1 Domino Data Lab Company Details
12.8.2 Company Description and Business Overview
12.8.3 Data Science Platform Introduction
12.8.4 Domino Data Lab Revenue in Data Science Platform Business (2014-2019)
12.8.5 Domino Data Lab Recent Development
12.9 Dataiku
12.9.1 Dataiku Company Details
12.9.2 Company Description and Business Overview
12.9.3 Data Science Platform Introduction
12.9.4 Dataiku Revenue in Data Science Platform Business (2014-2019)
12.9.5 Dataiku Recent Development
12.10 Alteryx
12.10.1 Alteryx Company Details
12.10.2 Company Description and Business Overview
12.10.3 Data Science Platform Introduction
12.10.4 Alteryx Revenue in Data Science Platform Business (2014-2019)
12.10.5 Alteryx Recent Development
12.11 Continuum Analytics
12.12 Bridgei2i Analytics
12.13 Datarpm
12.14 Rexer Analytics
12.15 Feature Labs

13 Market Forecast 2019-2025
13.1 Market Size Forecast by Regions
13.2 United States
13.3 Europe
13.4 China
13.5 Japan
13.6 Southeast Asia
13.7 India
13.8 Central & South America
13.9 Market Size Forecast by Product (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)

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
12.1.1.3 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