Global and Japan Data Science and Machine-Learning Platforms Market 2020 by Company, Type and Application, Forecast to 2025
Market Overview
The global Data Science and Machine-Learning Platforms market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.
The Data Science and Machine-Learning Platforms market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
Market segmentation
Data Science and Machine-Learning Platforms market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for revenue by Type and Application. This analysis can help you expand your business by targeting qualified niche markets.
Breakdown by Type, Data Science and Machine-Learning Platforms market has been segmented into Open Source Data Integration Tools, Cloud-based Data Integration Tools, etc.
Breakdown by Application, Data Science and Machine-Learning Platforms has been segmented into Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises, etc.
Regions and Countries Level Analysis
Regional analysis is another highly comprehensive part of the research and analysis study of the global Data Science and Machine-Learning Platforms market presented in the report. This section sheds light on the sales growth of different regional and country-level Data Science and Machine-Learning Platforms markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Data Science and Machine-Learning Platforms market.
For Japan, this report analyses the Japan market by players, Type and Application, for the period 2015-2025.
Competitive Landscape and Data Science and Machine-Learning Platforms Market Share Analysis
Data Science and Machine-Learning Platforms competitive landscape provides details by vendors, including company overview, company total revenue, market potential, global presence, Data Science and Machine-Learning Platforms revenue generated, market share, headquarters, SWOT analysis, product launch. For the period 2015-2020, this study provides the Data Science and Machine-Learning Platforms revenue and market share for each player covered in this report.
The major players covered in Data Science and Machine-Learning Platforms are: SAS, Databricks, RapidMiner, Alteryx, Dataiku, IBM, MathWorks, Microsoft, KNIME, TIBCO Software, Domino Data Lab, Rapid Insight, H20.ai, Angoss, Google, Anaconda, Lexalytics, SAP, etc. Among other players domestic and global, Data Science and Machine-Learning Platforms market share data is available for global, North America, Europe, Asia, Middle East and Africa and South America separately. Global Info Research analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Market segment by players, this report covers
SAS
Databricks
RapidMiner
Alteryx
Dataiku
IBM
MathWorks
Microsoft
KNIME
TIBCO Software
Domino Data Lab
Rapid Insight
H20.ai
Angoss
Google
Anaconda
Lexalytics
SAP
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, Southeast Asia and Australia)
South America (Brazil, Argentina)
MENA (Saudi Arabia, UAE, Turkey and South Africa)
Market segment by Type, covers:
Open Source Data Integration Tools
Cloud-based Data Integration Tools
Market segment by Application, can be divided into
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises
Table of Contents
1 Market Overview
1.1 Product Overview and Scope of Data Science and Machine-Learning Platforms
1.2 Classification of Data Science and Machine-Learning Platforms by Type
1.2.1 Overview: Global Data Science and Machine-Learning Platforms Revenue by Type: 2015 Versus 2019 Versus 2025
1.2.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Type in 2019
1.2.3 Open Source Data Integration Tools
1.2.4 Cloud-based Data Integration Tools
1.3 Global Data Science and Machine-Learning Platforms Market by Application
1.3.1 Overview: Global Data Science and Machine-Learning Platforms Revenue by Application: 2015 Versus 2019 Versus 2025
1.3.2 Small-Sized Enterprises
1.3.3 Medium-Sized Enterprise
1.3.4 Large Enterprises
1.4 Global Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
1.5 Global Data Science and Machine-Learning Platforms Market Size by Regions: 2015 VS 2019 VS 2025
1.6 Global Data Science and Machine-Learning Platforms Market Size by Regions (2015-2020)
1.7 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Regions (2020-2025)
1.7.1 North America Data Science and Machine-Learning Platforms Status and Prospect (2015-2025)
1.7.2 Europe Data Science and Machine-Learning Platforms Status and Prospect (2015-2025)
1.7.3 Asia Data Science and Machine-Learning Platforms Status and Prospect (2015-2025)
1.7.4 South America Data Science and Machine-Learning Platforms Status and Prospect (2015-2025)
1.7.5 Middle East & Africa Data Science and Machine-Learning Platforms Status and Prospect (2015-2025)
2 Company Profiles
2.1 SAS
2.1.1 SAS Details
2.1.2 SAS Major Business and Total Revenue (Financial Highlights) Analysis
2.1.3 SAS SWOT Analysis
2.1.4 SAS Product and Services
2.1.5 SAS Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.2 Databricks
2.2.1 Databricks Details
2.2.2 Databricks Major Business and Total Revenue (Financial Highlights) Analysis
2.2.3 Databricks SWOT Analysis
2.2.4 Databricks Product and Services
2.2.5 Databricks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.3 RapidMiner
2.3.1 RapidMiner Details
2.3.2 RapidMiner Major Business and Total Revenue (Financial Highlights) Analysis
2.3.3 RapidMiner SWOT Analysis
2.3.4 RapidMiner Product and Services
2.3.5 RapidMiner Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.4 Alteryx
2.4.1 Alteryx Details
2.4.2 Alteryx Major Business and Total Revenue (Financial Highlights) Analysis
2.4.3 Alteryx SWOT Analysis
2.4.4 Alteryx Product and Services
2.4.5 Alteryx Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.5 Dataiku
2.5.1 Dataiku Details
2.5.2 Dataiku Major Business and Total Revenue (Financial Highlights) Analysis
2.5.3 Dataiku SWOT Analysis
2.5.4 Dataiku Product and Services
2.5.5 Dataiku Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.6 IBM
2.6.1 IBM Details
2.6.2 IBM Major Business and Total Revenue (Financial Highlights) Analysis
2.6.3 IBM SWOT Analysis
2.6.4 IBM Product and Services
2.6.5 IBM Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.7 MathWorks
2.7.1 MathWorks Details
2.7.2 MathWorks Major Business and Total Revenue (Financial Highlights) Analysis
2.7.3 MathWorks SWOT Analysis
2.7.4 MathWorks Product and Services
2.7.5 MathWorks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.8 Microsoft
2.8.1 Microsoft Details
2.8.2 Microsoft Major Business and Total Revenue (Financial Highlights) Analysis
2.8.3 Microsoft SWOT Analysis
2.8.4 Microsoft Product and Services
2.8.5 Microsoft Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.9 KNIME
2.9.1 KNIME Details
2.9.2 KNIME Major Business and Total Revenue (Financial Highlights) Analysis
2.9.3 KNIME SWOT Analysis
2.9.4 KNIME Product and Services
2.9.5 KNIME Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.10 TIBCO Software
2.10.1 TIBCO Software Details
2.10.2 TIBCO Software Major Business and Total Revenue (Financial Highlights) Analysis
2.10.3 TIBCO Software SWOT Analysis
2.10.4 TIBCO Software Product and Services
2.10.5 TIBCO Software Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.11 Domino Data Lab
2.11.1 Domino Data Lab Details
2.11.2 Domino Data Lab Major Business and Total Revenue (Financial Highlights) Analysis
2.11.3 Domino Data Lab SWOT Analysis
2.11.4 Domino Data Lab Product and Services
2.11.5 Domino Data Lab Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.12 Rapid Insight
2.12.1 Rapid Insight Details
2.12.2 Rapid Insight Major Business and Total Revenue (Financial Highlights) Analysis
2.12.3 Rapid Insight SWOT Analysis
2.12.4 Rapid Insight Product and Services
2.12.5 Rapid Insight Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.13 H20.ai
2.13.1 H20.ai Details
2.13.2 H20.ai Major Business and Total Revenue (Financial Highlights) Analysis
2.13.3 H20.ai SWOT Analysis
2.13.4 H20.ai Product and Services
2.13.5 H20.ai Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.14 Angoss
2.14.1 Angoss Details
2.14.2 Angoss Major Business and Total Revenue (Financial Highlights) Analysis
2.14.3 Angoss SWOT Analysis
2.14.4 Angoss Product and Services
2.14.5 Angoss Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.15 Google
2.15.1 Google Details
2.15.2 Google Major Business and Total Revenue (Financial Highlights) Analysis
2.15.3 Google SWOT Analysis
2.15.4 Google Product and Services
2.15.5 Google Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.16 Anaconda
2.16.1 Anaconda Details
2.16.2 Anaconda Major Business and Total Revenue (Financial Highlights) Analysis
2.16.3 Anaconda SWOT Analysis
2.16.4 Anaconda Product and Services
2.16.5 Anaconda Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.17 Lexalytics
2.17.1 Lexalytics Details
2.17.2 Lexalytics Major Business and Total Revenue (Financial Highlights) Analysis
2.17.3 Lexalytics SWOT Analysis
2.17.4 Lexalytics Product and Services
2.17.5 Lexalytics Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
2.18 SAP
2.18.1 SAP Details
2.18.2 SAP Major Business and Total Revenue (Financial Highlights) Analysis
2.18.3 SAP SWOT Analysis
2.18.4 SAP Product and Services
2.18.3 SAP Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2018-2019)
3 Market Competition, by Players
3.1 Global Data Science and Machine-Learning Platforms Market Size by Players (2015-2020)
3.2 Japan Data Science and Machine-Learning Platforms Market Size by Players (2015-2020)
3.3 Market Concentration Rate
3.3.1 Top 5 Data Science and Machine-Learning Platforms Players Market Share
3.3.2 Top 10 Data Science and Machine-Learning Platforms Players Market Share
4 North America Market Size and Forecast by Countries
4.1 North America Data Science and Machine-Learning Platforms Market Size by Countries (2015-2020)
4.2 North America Data Science and Machine-Learning Platforms Market Size and Forecast by Countries (2015-2026)
4.3 United States Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
4.4 Canada Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
4.5 Mexico Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
5 Europe Market Size and Forecast by Countries
5.1 Europe Data Science and Machine-Learning Platforms Market Size by Countries (2015-2020)
5.2 Europe Data Science and Machine-Learning Platforms Market Size and Forecast by Countries (2015-2026)
5.3 Germany Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
5.4 France Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
5.5 UK Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
5.6 Russia Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
5.7 Italy Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
6 Asia-Pacific Market Size and Forecast by Countries
6.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Regions (2015-2020)
6.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Size and Forecast by Regions (2015-2026)
6.3 China Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
6.4 Japan Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
6.5 Korea Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
6.6 India Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
6.7 Southeast Asia Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
7 South America Market Size and Forecast by Countries
7.1 South America Data Science and Machine-Learning Platforms Market Size by Countries (2015-2020)
7.2 South America Data Science and Machine-Learning Platforms Market Size and Forecast by Countries (2015-2026)
7.3 Brazil Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
7.4 Argentina Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
8 Middle East & Africa Market Size and Forecast by Countries
8.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Regions (2015-2020)
8.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size and Forecast by Countries (2015-2026)
8.3 Saudi Arabia Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
8.4 UAE Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
8.5 Egypt Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
8.6 South Africa Data Science and Machine-Learning Platforms Market Size and Forecast (2015-2025)
9 Market Size Segment by Type
9.1 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Type (2015-2025)
9.1.1 Global Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
9.1.2 Global Data Science and Machine-Learning Platforms Market Size Forecast by Type (2020-2025)
9.2 Japan Data Science and Machine-Learning Platforms Market Size and Forecast by Type (2015-2025)
9.2.1 Japan Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
9.2.2 Japan Data Science and Machine-Learning Platforms Market Size Forecast by Type (2020-2025)
10 Market Size Segment by Application
10.1 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Application (2015-2025)
10.1.1 Global Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)
10.1.2 Global Data Science and Machine-Learning Platforms Market Size Forecast by Application (2020-2025)
10.2 Japan Data Science and Machine-Learning Platforms Market Size and Forecast by Application (2015-2025)
10.2.1 Japan Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)
10.2.2 Japan Data Science and Machine-Learning Platforms Market Size Forecast by Application (2020-2025)
11 Research Findings and Conclusion
12 Appendix
12.1 Methodology
12.2 Data Source
12.3 Disclaimer
12.4 About US
Tables and Figures
List of Tables
Table 1. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Type: 2015 Versus 2019 Versus 2025
Table 2. Breakdown of Data Science and Machine-Learning Platforms by Company Type (Tier 1, Tier 2 and Tier 3)
Table 3. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Application: 2015 Versus 2019 Versus 2025
Table 4. Global Market Data Science and Machine-Learning Platforms Market Size (USD Million) Comparison by Regions (2020-2025)
Table 5. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Regions (2015-2020)
Table 6. Global Data Science and Machine-Learning Platforms Revenue Share by Regions (2015-2020)
Table 7. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Regions (2020-2025)
Table 8. Global Data Science and Machine-Learning Platforms Revenue Market Share by Regions (2020-2025)
Table 9. SAS Corporate Information, Location and Competitors
Table 10. SAS Major Business
Table 11. SAS Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 12. SAS SWOT Analysis
Table 13. SAS Data Science and Machine-Learning Platforms Product and Solutions
Table 14. SAS Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 15. Databricks Corporate Information, Location and Competitors
Table 16. Databricks Major Business
Table 17. Databricks Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2018-2019)
Table 18. Databricks SWOT Analysis
Table 19. Databricks Data Science and Machine-Learning Platforms Product and Solutions
Table 20. Databricks Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 21. RapidMiner Corporate Information, Location and Competitors
Table 22. RapidMiner Major Business
Table 23. RapidMiner Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 24. RapidMiner SWOT Analysis
Table 25. RapidMiner Data Science and Machine-Learning Platforms Product and Solutions
Table 26. RapidMiner Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 27. Alteryx Corporate Information, Location and Competitors
Table 28. Alteryx Major Business
Table 29. Alteryx Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 30. Alteryx SWOT Analysis
Table 31. Alteryx Data Science and Machine-Learning Platforms Product and Solutions
Table 32. Alteryx Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 33. Dataiku Corporate Information, Location and Competitors
Table 34. Dataiku Major Business
Table 35. Dataiku Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 36. Dataiku SWOT Analysis
Table 37. Dataiku Data Science and Machine-Learning Platforms Product and Solutions
Table 38. Dataiku Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 39. IBM Corporate Information, Location and Competitors
Table 40. IBM Major Business
Table 41. IBM Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 42. IBM SWOT Analysis
Table 43. IBM Data Science and Machine-Learning Platforms Product and Solutions
Table 44. IBM Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 45. MathWorks Corporate Information, Location and Competitors
Table 46. MathWorks Major Business
Table 47. MathWorks Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 48. MathWorks SWOT Analysis
Table 49. MathWorks Data Science and Machine-Learning Platforms Product and Solutions
Table 50. MathWorks Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 51. Microsoft Corporate Information, Location and Competitors
Table 52. Microsoft Major Business
Table 53. Microsoft Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 54. Microsoft SWOT Analysis
Table 55. Microsoft Data Science and Machine-Learning Platforms Product and Solutions
Table 56. Microsoft Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 57. KNIME Corporate Information, Location and Competitors
Table 58. KNIME Major Business
Table 59. KNIME Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 60. KNIME SWOT Analysis
Table 61. KNIME Data Science and Machine-Learning Platforms Product and Solutions
Table 62. KNIME Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 63. TIBCO Software Corporate Information, Location and Competitors
Table 64. TIBCO Software Major Business
Table 65. TIBCO Software Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 66. TIBCO Software SWOT Analysis
Table 67. TIBCO Software Data Science and Machine-Learning Platforms Product and Solutions
Table 68. TIBCO Software Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 69. Domino Data Lab Corporate Information, Location and Competitors
Table 70. Domino Data Lab Major Business
Table 71. Domino Data Lab Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 72. Domino Data Lab SWOT Analysis
Table 73. Domino Data Lab Data Science and Machine-Learning Platforms Product and Solutions
Table 74. Domino Data Lab Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 75. Rapid Insight Corporate Information, Location and Competitors
Table 76. Rapid Insight Major Business
Table 77. Rapid Insight Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 78. Rapid Insight SWOT Analysis
Table 79. Rapid Insight Data Science and Machine-Learning Platforms Product and Solutions
Table 80. Rapid Insight Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 81. H20.ai Corporate Information, Location and Competitors
Table 82. H20.ai Major Business
Table 83. H20.ai Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 84. H20.ai SWOT Analysis
Table 85. H20.ai Data Science and Machine-Learning Platforms Product and Solutions
Table 86. H20.ai Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 87. Angoss Corporate Information, Location and Competitors
Table 88. Angoss Major Business
Table 89. Angoss Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 90. Angoss SWOT Analysis
Table 91. Angoss Data Science and Machine-Learning Platforms Product and Solutions
Table 92. Angoss Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 93. Google Corporate Information, Location and Competitors
Table 94. Google Major Business
Table 95. Google Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 96. Google SWOT Analysis
Table 97. Google Data Science and Machine-Learning Platforms Product and Solutions
Table 98. Google Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 99. Anaconda Corporate Information, Location and Competitors
Table 100. Anaconda Major Business
Table 101. Anaconda Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 102. Anaconda SWOT Analysis
Table 103. Anaconda Data Science and Machine-Learning Platforms Product and Solutions
Table 104. Anaconda Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 105. Lexalytics Corporate Information, Location and Competitors
Table 106. Lexalytics Major Business
Table 107. Lexalytics Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 108. Lexalytics SWOT Analysis
Table 109. Lexalytics Data Science and Machine-Learning Platforms Product and Solutions
Table 110. Lexalytics Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 111. SAP Data Science and Machine-Learning Platforms Type and Application
Table 112. SAP Major Business
Table 113. SAP Data Science and Machine-Learning Platforms Total Revenue (USD Million) (2017-2018)
Table 114. SAP SWOT Analysis
Table 115. SAP Data Science and Machine-Learning Platforms Product and Solutions
Table 116. SAP Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 117. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Players (2015-2020)
Table 118. Global Data Science and Machine-Learning Platforms Revenue Share by Players (2015-2020)
Table 119. Key Players Data Science and Machine-Learning Platforms Revenue (USD Million) in Japan (2015-2020)
Table 120. Key Players Data Science and Machine-Learning Platforms Revenue Share in Japan (2015-2020)
Table 121. North America Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2015-2020)
Table 122. North America Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2015-2020)
Table 123. North America Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2020-2026)
Table 124. North America Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2020-2026)
Table 125. Europe Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2015-2020)
Table 126. Europe Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2015-2020)
Table 127. Europe Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2020-2026)
Table 128. Europe Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2020-2026)
Table 129. Asia-Pacific Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2015-2020)
Table 130. Asia-Pacific Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2015-2020)
Table 131. Asia-Pacific Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2020-2026)
Table 132. Asia-Pacific Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2020-2026)
Table 133. South America Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2015-2020)
Table 134. South America Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2015-2020)
Table 135. South America Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2020-2026)
Table 136. South America Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2020-2026)
Table 137. Middle East & Africa Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2015-2020)
Table 138. Middle East & Africa Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2015-2020)
Table 139. Middle East & Africa Data Science and Machine-Learning Platforms Revenue (USD Million) by Countries (2020-2026)
Table 140. Middle East & Africa Data Science and Machine-Learning Platforms Revenue Market Share by Countries (2020-2026)
Table 141. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Type (2015-2020)
Table 142. Global Data Science and Machine-Learning Platforms Revenue Share by Type (2015-2020)
Table 143. Global Data Science and Machine-Learning Platforms Revenue Forecast by Type (2020-2025)
Table 144. Global Data Science and Machine-Learning Platforms Market Share Forecast by Type (2020-2025)
Table 145. Japan Data Science and Machine-Learning Platforms Revenue (USD Million) by Type (2015-2020)
Table 146. Japan Data Science and Machine-Learning Platforms Revenue Share by Type (2015-2020)
Table 147. Japan Data Science and Machine-Learning Platforms Revenue Forecast by Type (2020-2025)
Table 148. Japan Data Science and Machine-Learning Platforms Market Share Forecast by Type (2020-2025)
Table 149. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Application (2015-2020)
Table 150. Global Data Science and Machine-Learning Platforms Revenue Share by Application (2015-2020)
Table 151. Global Data Science and Machine-Learning Platforms Revenue Forecast by Application (2020-2025)
Table 152. Global Data Science and Machine-Learning Platforms Market Share Forecast by Application (2020-2025)
Table 153. Japan Data Science and Machine-Learning Platforms Revenue (USD Million) by Application (2015-2020)
Table 154. Japan Data Science and Machine-Learning Platforms Revenue Share by Application (2015-2020)
Table 155. Japan Data Science and Machine-Learning Platforms Revenue Forecast by Application (2020-2025)
Table 156. Japan Data Science and Machine-Learning Platforms Market Share Forecast by Application (2020-2025)
List of Figures
Figure 1. Data Science and Machine-Learning Platforms Picture
Figure 2. Global Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
Figure 3. Global Data Science and Machine-Learning Platforms Revenue Market Share by Type in 2019
Figure 4. Open Source Data Integration Tools Picture
Figure 5. Cloud-based Data Integration Tools Picture
Figure 6. Data Science and Machine-Learning Platforms Revenue Market Share by Application in 2019
Figure 7. Small-Sized Enterprises Picture
Figure 8. Medium-Sized Enterprise Picture
Figure 9. Large Enterprises Picture
Figure 10. Global Data Science and Machine-Learning Platforms Revenue and Growth Rate (2015-2025) (USD Million)
Figure 11. Global Data Science and Machine-Learning Platforms Market Size Share by Regions (2015-2025)
Figure 12. Global Data Science and Machine-Learning Platforms Market Size Share by Regions in 2019
Figure 13. Global Data Science and Machine-Learning Platforms Revenue Market Share by Regions (2020-2025)
Figure 14. North America Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2015-2025)
Figure 15. Europe Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2015-2025)
Figure 16. Asia-Pacific Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2015-2025)
Figure 17. South America Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2015-2025)
Figure 18. Middle East & Africa Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2015-2025)
Figure 19. Global Data Science and Machine-Learning Platforms Revenue Share by Players in 2019
Figure 20. Global Top 5 Players Data Science and Machine-Learning Platforms Revenue Market Share in 2019
Figure 21. Top 10 Players Data Science and Machine-Learning Platforms Revenue Market Share in Global Market in 2019
Figure 22. Global Data Science and Machine-Learning Platforms Market Size (USD Million) by Type (2015-2025)
Figure 23. Global Data Science and Machine-Learning Platforms Market Size Share by Application (2015-2025)
Figure 24. North America Data Science and Machine-Learning Platforms Market Size Share by Countries (2015-2025)
Figure 25. North America Data Science and Machine-Learning Platforms Market Size Share by Countries in 2019
Figure 26. United States Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 27. Canada Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 28. Mexico Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 29. Europe Data Science and Machine-Learning Platforms Market Size Share by Countries (2015-2025)
Figure 30. Europe Data Science and Machine-Learning Platforms Market Size Share by Countries in 2019
Figure 31. Germany Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 32. France Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 33. Russia Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 34. Italy Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 35. Spain Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 36. UK Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 37. Asia Data Science and Machine-Learning Platforms Market Size Share by Countries (2015-2025)
Figure 38. Asia Data Science and Machine-Learning Platforms Market Size Share by Countries in 2019
Figure 39. China Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 40. Japan Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 41. Korea Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 42. India Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 43. Southeast Asia Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 44. South America Data Science and Machine-Learning Platforms Market Size Share by Countries (2015-2025)
Figure 45. South America Data Science and Machine-Learning Platforms Market Size Share by Countries in 2019
Figure 46. Brazil Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 47. Argentina Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 48. Middle East & Africa Data Science and Machine-Learning Platforms Market Size Share by Countries (2015-2025)
Figure 49. Middle East & Africa Data Science and Machine-Learning Platforms Market Size Share by Countries in 2019
Figure 50. Saudi Arabia Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 51. UAE Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 52. Egypt Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 53. South Africa Data Science and Machine-Learning Platforms Market Size (USD Million) and Forecast (2015-2025)
Figure 54. Global Data Science and Machine-Learning Platforms Revenue Share by Type (2015-2020)
Figure 55. Japan Data Science and Machine-Learning Platforms Revenue Share by Type (2015-2020)
Figure 56. Global Data Science and Machine-Learning Platforms Revenue Share by Application (2015-2020)
Figure 57. Japan Data Science and Machine-Learning Platforms Revenue Share by Application (2015-2020)
Companies Mentioned
SAS
Databricks
RapidMiner
Alteryx
Dataiku
IBM
MathWorks
Microsoft
KNIME
TIBCO Software
Domino Data Lab
Rapid Insight
H20.ai
Angoss
Google
Anaconda
Lexalytics
SAP
Reason to Buy
- Current and future of Service & Software Market outlook in the developed and emerging markets
- Highlights key business priorities in order to assist companies to realign their business strategies
- The segment that is expected to dominate the Service & Software Market
- Regions that are expected to witness the fastest growth during the forecast period
- Identify the latest developments, Service & Software Market shares, and strategies employed by the major market players
- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Service & Software Market
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets