Global Data Science Platform Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2023

  • receipt Report ID : 140542
  • calendar_today Published On: Jan, 2019
  • file_copy Pages: 147
  • list Business Services

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).

Scope of the Report:

This report studies the Data Science Platform market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Data Science Platform market by product type and applications/end industries.

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.

The global Data Science Platform market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of 35.8% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Data Science Platform.

Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.

Market Segment by Companies, this report covers

Microsoft

IBM

Google

Wolfram

Datarobot

Cloudera

Rapidminer

Domino Data Lab

Dataiku

Alteryx

Continuum Analytics

Bridgei2i Analytics

Datarpm

Rexer Analytics

Feature Labs

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers

On-Premises

On-Demand

Market Segment by Applications, can be divided into

Marketing

Sales

Logistics

Risk

Customer Support

Human Resources

Operations

Frequently Asked Questions

The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.

Market is segmented on the basis:

  • By Type
  • By Application
  • By Region
  • By Country
  • By Manufacturer

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.

Table of Contents

1 Data Science Platform Market Overview

1.1 Product Overview and Scope of Data Science Platform

1.2 Classification of Data Science Platform by Types

1.2.1 Global Data Science Platform Revenue Comparison by Types (2017-2023)

1.2.2 Global Data Science Platform Revenue Market Share by Types in 2017

1.2.3 On-Premises

1.2.4 On-Demand

1.3 Global Data Science Platform Market by Application

1.3.1 Global Data Science Platform Market Size and Market Share Comparison by Applications (2013-2023)

1.3.2 Marketing

1.3.3 Sales

1.3.4 Logistics

1.3.5 Risk

1.3.6 Customer Support

1.3.7 Human Resources

1.3.8 Operations

1.4 Global Data Science Platform Market by Regions

1.4.1 Global Data Science Platform Market Size (Million USD) Comparison by Regions (2013-2023)

1.4.1 North America (USA, Canada and Mexico) Data Science Platform Status and Prospect (2013-2023)

1.4.2 Europe (Germany, France, UK, Russia and Italy) Data Science Platform Status and Prospect (2013-2023)

1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Data Science Platform Status and Prospect (2013-2023)

1.4.4 South America (Brazil, Argentina, Colombia) Data Science Platform Status and Prospect (2013-2023)

1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Data Science Platform Status and Prospect (2013-2023)

1.5 Global Market Size of Data Science Platform (2013-2023)

2 Manufacturers Profiles

2.1 Microsoft

2.1.1 Business Overview

2.1.2 Data Science Platform Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 Microsoft Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.2 IBM

2.2.1 Business Overview

2.2.2 Data Science Platform Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 IBM Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.3 Google

2.3.1 Business Overview

2.3.2 Data Science Platform Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 Google Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.4 Wolfram

2.4.1 Business Overview

2.4.2 Data Science Platform Type and Applications

2.4.2.1 Product A

2.4.2.2 Product B

2.4.3 Wolfram Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.5 Datarobot

2.5.1 Business Overview

2.5.2 Data Science Platform Type and Applications

2.5.2.1 Product A

2.5.2.2 Product B

2.5.3 Datarobot Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.6 Cloudera

2.6.1 Business Overview

2.6.2 Data Science Platform Type and Applications

2.6.2.1 Product A

2.6.2.2 Product B

2.6.3 Cloudera Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.7 Rapidminer

2.7.1 Business Overview

2.7.2 Data Science Platform Type and Applications

2.7.2.1 Product A

2.7.2.2 Product B

2.7.3 Rapidminer Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.8 Domino Data Lab

2.8.1 Business Overview

2.8.2 Data Science Platform Type and Applications

2.8.2.1 Product A

2.8.2.2 Product B

2.8.3 Domino Data Lab Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.9 Dataiku

2.9.1 Business Overview

2.9.2 Data Science Platform Type and Applications

2.9.2.1 Product A

2.9.2.2 Product B

2.9.3 Dataiku Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.10 Alteryx

2.10.1 Business Overview

2.10.2 Data Science Platform Type and Applications

2.10.2.1 Product A

2.10.2.2 Product B

2.10.3 Alteryx Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.11 Continuum Analytics

2.11.1 Business Overview

2.11.2 Data Science Platform Type and Applications

2.11.2.1 Product A

2.11.2.2 Product B

2.11.3 Continuum Analytics Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.12 Bridgei2i Analytics

2.12.1 Business Overview

2.12.2 Data Science Platform Type and Applications

2.12.2.1 Product A

2.12.2.2 Product B

2.12.3 Bridgei2i Analytics Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.13 Datarpm

2.13.1 Business Overview

2.13.2 Data Science Platform Type and Applications

2.13.2.1 Product A

2.13.2.2 Product B

2.13.3 Datarpm Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.14 Rexer Analytics

2.14.1 Business Overview

2.14.2 Data Science Platform Type and Applications

2.14.2.1 Product A

2.14.2.2 Product B

2.14.3 Rexer Analytics Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

2.15 Feature Labs

2.15.1 Business Overview

2.15.2 Data Science Platform Type and Applications

2.15.2.1 Product A

2.15.2.2 Product B

2.15.3 Feature Labs Data Science Platform Revenue, Gross Margin and Market Share (2016-2017)

3 Global Data Science Platform Market Competition, by Players

3.1 Global Data Science Platform Revenue and Share by Players (2013-2018)

3.2 Market Concentration Rate

3.2.1 Top 5 Data Science Platform Players Market Share

3.2.2 Top 10 Data Science Platform Players Market Share

3.3 Market Competition Trend

4 Global Data Science Platform Market Size by Regions

4.1 Global Data Science Platform Revenue and Market Share by Regions

4.2 North America Data Science Platform Revenue and Growth Rate (2013-2018)

4.3 Europe Data Science Platform Revenue and Growth Rate (2013-2018)

4.4 Asia-Pacific Data Science Platform Revenue and Growth Rate (2013-2018)

4.5 South America Data Science Platform Revenue and Growth Rate (2013-2018)

4.6 Middle East and Africa Data Science Platform Revenue and Growth Rate (2013-2018)

5 North America Data Science Platform Revenue by Countries

5.1 North America Data Science Platform Revenue by Countries (2013-2018)

5.2 USA Data Science Platform Revenue and Growth Rate (2013-2018)

5.3 Canada Data Science Platform Revenue and Growth Rate (2013-2018)

5.4 Mexico Data Science Platform Revenue and Growth Rate (2013-2018)

6 Europe Data Science Platform Revenue by Countries

6.1 Europe Data Science Platform Revenue by Countries (2013-2018)

6.2 Germany Data Science Platform Revenue and Growth Rate (2013-2018)

6.3 UK Data Science Platform Revenue and Growth Rate (2013-2018)

6.4 France Data Science Platform Revenue and Growth Rate (2013-2018)

6.5 Russia Data Science Platform Revenue and Growth Rate (2013-2018)

6.6 Italy Data Science Platform Revenue and Growth Rate (2013-2018)

7 Asia-Pacific Data Science Platform Revenue by Countries

7.1 Asia-Pacific Data Science Platform Revenue by Countries (2013-2018)

7.2 China Data Science Platform Revenue and Growth Rate (2013-2018)

7.3 Japan Data Science Platform Revenue and Growth Rate (2013-2018)

7.4 Korea Data Science Platform Revenue and Growth Rate (2013-2018)

7.5 India Data Science Platform Revenue and Growth Rate (2013-2018)

7.6 Southeast Asia Data Science Platform Revenue and Growth Rate (2013-2018)

8 South America Data Science Platform Revenue by Countries

8.1 South America Data Science Platform Revenue by Countries (2013-2018)

8.2 Brazil Data Science Platform Revenue and Growth Rate (2013-2018)

8.3 Argentina Data Science Platform Revenue and Growth Rate (2013-2018)

8.4 Colombia Data Science Platform Revenue and Growth Rate (2013-2018)

9 Middle East and Africa Revenue Data Science Platform by Countries

9.1 Middle East and Africa Data Science Platform Revenue by Countries (2013-2018)

9.2 Saudi Arabia Data Science Platform Revenue and Growth Rate (2013-2018)

9.3 UAE Data Science Platform Revenue and Growth Rate (2013-2018)

9.4 Egypt Data Science Platform Revenue and Growth Rate (2013-2018)

9.5 Nigeria Data Science Platform Revenue and Growth Rate (2013-2018)

9.6 South Africa Data Science Platform Revenue and Growth Rate (2013-2018)

10 Global Data Science Platform Market Segment by Type

10.1 Global Data Science Platform Revenue and Market Share by Type (2013-2018)

10.2 Global Data Science Platform Market Forecast by Type (2018-2023)

10.3 On-Premises Revenue Growth Rate (2013-2023)

10.4 On-Demand Revenue Growth Rate (2013-2023)

11 Global Data Science Platform Market Segment by Application

11.1 Global Data Science Platform Revenue Market Share by Application (2013-2018)

11.2 Data Science Platform Market Forecast by Application (2018-2023)

11.3 Marketing Revenue Growth (2013-2018)

11.4 Sales Revenue Growth (2013-2018)

11.5 Logistics Revenue Growth (2013-2018)

11.6 Risk Revenue Growth (2013-2018)

11.7 Customer Support Revenue Growth (2013-2018)

11.8 Human Resources Revenue Growth (2013-2018)

11.9 Operations Revenue Growth (2013-2018)

12 Global Data Science Platform Market Size Forecast (2018-2023)

12.1 Global Data Science Platform Market Size Forecast (2018-2023)

12.2 Global Data Science Platform Market Forecast by Regions (2018-2023)

12.3 North America Data Science Platform Revenue Market Forecast (2018-2023)

12.4 Europe Data Science Platform Revenue Market Forecast (2018-2023)

12.5 Asia-Pacific Data Science Platform Revenue Market Forecast (2018-2023)

12.6 South America Data Science Platform Revenue Market Forecast (2018-2023)

12.7 Middle East and Africa Data Science Platform Revenue Market Forecast (2018-2023)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

List of Tables and Figures

Figure Data Science Platform Picture

Table Product Specifications of Data Science Platform

Table Global Data Science Platform and Revenue (Million USD) Market Split by Prod

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