Global Data Science and Machine-Learning Platforms Market Size, Status and Forecast 2020-2026

May 2020 | 128 pages | ID: G9FEF8B62B1AEN
QYResearch

Abstracts

This report focuses on the global Data Science and Machine-Learning Platforms status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science and Machine-Learning Platforms development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study

• SAS
• Alteryx
• IBM
• RapidMiner
• KNIME
• Microsoft
• Dataiku
• Databricks
• TIBCO Software
• MathWorks
• H20.ai
• Anaconda
• SAP
• Google
• Domino Data Lab
• Angoss
• Lexalytics
• Rapid Insight

Market segment by Type, the product can be split into

• Open Source Data Integration Tools
• Cloud-based Data Integration Tools

Market segment by Application, split into

• Small-Sized Enterprises
• Medium-Sized Enterprise
• Large Enterprises

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 Platforms status, future forecast, growth opportunity, key market and key players.
• To present the Data Science and Machine-Learning Platforms 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 type, market and key regions.

In this study, the years considered to estimate the market size of Data Science and Machine-Learning Platforms are as follows:

• History Year: 2015-2019
• Base Year: 2019
• Estimated Year: 2020
• Forecast Year 2020 to 2026

For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Contents

1 REPORT OVERVIEW

1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Data Science and Machine-Learning Platforms Revenue
1.4 Market Analysis by Type
  1.4.1 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type: 2020 VS 2026
  1.4.2 Open Source Data Integration Tools
  1.4.3 Cloud-based Data Integration Tools
1.5 Market by Application
  1.5.1 Global Data Science and Machine-Learning Platforms Market Share by Application: 2020 VS 2026
  1.5.2 Small-Sized Enterprises
  1.5.3 Medium-Sized Enterprise
  1.5.4 Large Enterprises
1.6 Study Objectives
1.7 Years Considered

2 GLOBAL GROWTH TRENDS BY REGIONS

2.1 Data Science and Machine-Learning Platforms Market Perspective (2015-2026)
2.2 Data Science and Machine-Learning Platforms Growth Trends by Regions
  2.2.1 Data Science and Machine-Learning Platforms Market Size by Regions: 2015 VS 2020 VS 2026
  2.2.2 Data Science and Machine-Learning Platforms Historic Market Share by Regions (2015-2020)
  2.2.3 Data Science and Machine-Learning Platforms Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
  2.3.1 Market Top Trends
  2.3.2 Market Drivers
  2.3.3 Market Challenges
  2.3.4 Porter’s Five Forces Analysis
  2.3.5 Data Science and Machine-Learning Platforms Market Growth Strategy
  2.3.6 Primary Interviews with Key Data Science and Machine-Learning Platforms Players (Opinion Leaders)

3 COMPETITION LANDSCAPE BY KEY PLAYERS

3.1 Global Top Data Science and Machine-Learning Platforms Players by Market Size
  3.1.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue (2015-2020)
  3.1.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Players (2015-2020)
  3.1.3 Global Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Data Science and Machine-Learning Platforms Market Concentration Ratio
  3.2.1 Global Data Science and Machine-Learning Platforms Market Concentration Ratio (CR5 and HHI)
  3.2.2 Global Top 10 and Top 5 Companies by Data Science and Machine-Learning Platforms Revenue in 2019
3.3 Data Science and Machine-Learning Platforms Key Players Head office and Area Served
3.4 Key Players Data Science and Machine-Learning Platforms Product Solution and Service
3.5 Date of Enter into Data Science and Machine-Learning Platforms Market
3.6 Mergers & Acquisitions, Expansion Plans

4 BREAKDOWN DATA BY TYPE (2015-2026)

4.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Type (2015-2020)
4.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Type (2021-2026)

5 DATA SCIENCE AND MACHINE-LEARNING PLATFORMS BREAKDOWN DATA BY APPLICATION (2015-2026)

5.1 Global Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)
5.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Application (2021-2026)

6 NORTH AMERICA

6.1 North America Data Science and Machine-Learning Platforms Market Size (2015-2020)
6.2 Data Science and Machine-Learning Platforms Key Players in North America (2019-2020)
6.3 North America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
6.4 North America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

7 EUROPE

7.1 Europe Data Science and Machine-Learning Platforms Market Size (2015-2020)
7.2 Data Science and Machine-Learning Platforms Key Players in Europe (2019-2020)
7.3 Europe Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
7.4 Europe Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

8 CHINA

8.1 China Data Science and Machine-Learning Platforms Market Size (2015-2020)
8.2 Data Science and Machine-Learning Platforms Key Players in China (2019-2020)
8.3 China Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
8.4 China Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

9 JAPAN

9.1 Japan Data Science and Machine-Learning Platforms Market Size (2015-2020)
9.2 Data Science and Machine-Learning Platforms Key Players in Japan (2019-2020)
9.3 Japan Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
9.4 Japan Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

10 SOUTHEAST ASIA

10.1 Southeast Asia Data Science and Machine-Learning Platforms Market Size (2015-2020)
10.2 Data Science and Machine-Learning Platforms Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
10.4 Southeast Asia Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

11 INDIA

11.1 India Data Science and Machine-Learning Platforms Market Size (2015-2020)
11.2 Data Science and Machine-Learning Platforms Key Players in India (2019-2020)
11.3 India Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
11.4 India Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

12 CENTRAL & SOUTH AMERICA

12.1 Central & South America Data Science and Machine-Learning Platforms Market Size (2015-2020)
12.2 Data Science and Machine-Learning Platforms Key Players in Central & South America (2019-2020)
12.3 Central & South America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
12.4 Central & South America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

13 KEY PLAYERS PROFILES

13.1 SAS
  13.1.1 SAS Company Details
  13.1.2 SAS Business Overview and Its Total Revenue
  13.1.3 SAS Data Science and Machine-Learning Platforms Introduction
  13.1.4 SAS Revenue in Data Science and Machine-Learning Platforms Business (2015-2020))
  13.1.5 SAS Recent Development
13.2 Alteryx
  13.2.1 Alteryx Company Details
  13.2.2 Alteryx Business Overview and Its Total Revenue
  13.2.3 Alteryx Data Science and Machine-Learning Platforms Introduction
  13.2.4 Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.2.5 Alteryx Recent Development
13.3 IBM
  13.3.1 IBM Company Details
  13.3.2 IBM Business Overview and Its Total Revenue
  13.3.3 IBM Data Science and Machine-Learning Platforms Introduction
  13.3.4 IBM Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.3.5 IBM Recent Development
13.4 RapidMiner
  13.4.1 RapidMiner Company Details
  13.4.2 RapidMiner Business Overview and Its Total Revenue
  13.4.3 RapidMiner Data Science and Machine-Learning Platforms Introduction
  13.4.4 RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.4.5 RapidMiner Recent Development
13.5 KNIME
  13.5.1 KNIME Company Details
  13.5.2 KNIME Business Overview and Its Total Revenue
  13.5.3 KNIME Data Science and Machine-Learning Platforms Introduction
  13.5.4 KNIME Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.5.5 KNIME Recent Development
13.6 Microsoft
  13.6.1 Microsoft Company Details
  13.6.2 Microsoft Business Overview and Its Total Revenue
  13.6.3 Microsoft Data Science and Machine-Learning Platforms Introduction
  13.6.4 Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.6.5 Microsoft Recent Development
13.7 Dataiku
  13.7.1 Dataiku Company Details
  13.7.2 Dataiku Business Overview and Its Total Revenue
  13.7.3 Dataiku Data Science and Machine-Learning Platforms Introduction
  13.7.4 Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.7.5 Dataiku Recent Development
13.8 Databricks
  13.8.1 Databricks Company Details
  13.8.2 Databricks Business Overview and Its Total Revenue
  13.8.3 Databricks Data Science and Machine-Learning Platforms Introduction
  13.8.4 Databricks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.8.5 Databricks Recent Development
13.9 TIBCO Software
  13.9.1 TIBCO Software Company Details
  13.9.2 TIBCO Software Business Overview and Its Total Revenue
  13.9.3 TIBCO Software Data Science and Machine-Learning Platforms Introduction
  13.9.4 TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.9.5 TIBCO Software Recent Development
13.10 MathWorks
  13.10.1 MathWorks Company Details
  13.10.2 MathWorks Business Overview and Its Total Revenue
  13.10.3 MathWorks Data Science and Machine-Learning Platforms Introduction
  13.10.4 MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  13.10.5 MathWorks Recent Development
13.11 H20.ai
  10.11.1 H20.ai Company Details
  10.11.2 H20.ai Business Overview and Its Total Revenue
  10.11.3 H20.ai Data Science and Machine-Learning Platforms Introduction
  10.11.4 H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.11.5 H20.ai Recent Development
13.12 Anaconda
  10.12.1 Anaconda Company Details
  10.12.2 Anaconda Business Overview and Its Total Revenue
  10.12.3 Anaconda Data Science and Machine-Learning Platforms Introduction
  10.12.4 Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.12.5 Anaconda Recent Development
13.13 SAP
  10.13.1 SAP Company Details
  10.13.2 SAP Business Overview and Its Total Revenue
  10.13.3 SAP Data Science and Machine-Learning Platforms Introduction
  10.13.4 SAP Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.13.5 SAP Recent Development
13.14 Google
  10.14.1 Google Company Details
  10.14.2 Google Business Overview and Its Total Revenue
  10.14.3 Google Data Science and Machine-Learning Platforms Introduction
  10.14.4 Google Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.14.5 Google Recent Development
13.15 Domino Data Lab
  10.15.1 Domino Data Lab Company Details
  10.15.2 Domino Data Lab Business Overview and Its Total Revenue
  10.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Introduction
  10.15.4 Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.15.5 Domino Data Lab Recent Development
13.16 Angoss
  10.16.1 Angoss Company Details
  10.16.2 Angoss Business Overview and Its Total Revenue
  10.16.3 Angoss Data Science and Machine-Learning Platforms Introduction
  10.16.4 Angoss Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.16.5 Angoss Recent Development
13.17 Lexalytics
  10.17.1 Lexalytics Company Details
  10.17.2 Lexalytics Business Overview and Its Total Revenue
  10.17.3 Lexalytics Data Science and Machine-Learning Platforms Introduction
  10.17.4 Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.17.5 Lexalytics Recent Development
13.18 Rapid Insight
  10.18.1 Rapid Insight Company Details
  10.18.2 Rapid Insight Business Overview and Its Total Revenue
  10.18.3 Rapid Insight Data Science and Machine-Learning Platforms Introduction
  10.18.4 Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  10.18.5 Rapid Insight Recent Development

14 ANALYST'S VIEWPOINTS/CONCLUSIONS

15 APPENDIX

15.1 Research Methodology
  15.1.1 Methodology/Research Approach
  15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details

List Of Tables

LIST OF TABLES

Table 1. Data Science and Machine-Learning Platforms Key Market Segments
Table 2. Key Players Covered: Ranking by Data Science and Machine-Learning Platforms Revenue
Table 3. Ranking of Global Top Data Science and Machine-Learning Platforms Manufacturers by Revenue (US$ Million) in 2019
Table 4. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (US$ Million): 2020 VS 2026
Table 5. Key Players of Open Source Data Integration Tools
Table 6. Key Players of Cloud-based Data Integration Tools
Table 7. Global Data Science and Machine-Learning Platforms Market Size Growth by Application (US$ Million): 2020 VS 2026
Table 8. Global Data Science and Machine-Learning Platforms Market Size by Regions (US$ Million): 2020 VS 2026
Table 9. Global Data Science and Machine-Learning Platforms Market Size by Regions (2015-2020) (US$ Million)
Table 10. Global Data Science and Machine-Learning Platforms Market Share by Regions (2015-2020)
Table 11. Global Data Science and Machine-Learning Platforms Forecasted Market Size by Regions (2021-2026) (US$ Million)
Table 12. Global Data Science and Machine-Learning Platforms Market Share by Regions (2021-2026)
Table 13. Market Top Trends
Table 14. Key Drivers: Impact Analysis
Table 15. Key Challenges
Table 16. Data Science and Machine-Learning Platforms Market Growth Strategy
Table 17. Main Points Interviewed from Key Data Science and Machine-Learning Platforms Players
Table 18. Global Data Science and Machine-Learning Platforms Revenue by Players (2015-2020) (Million US$)
Table 19. Global Data Science and Machine-Learning Platforms Market Share by Players (2015-2020)
Table 20. Global Top Data Science and Machine-Learning Platforms Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Data Science and Machine-Learning Platforms as of 2019)
Table 21. Global Data Science and Machine-Learning Platforms by Players Market Concentration Ratio (CR5 and HHI)
Table 22. Key Players Headquarters and Area Served
Table 23. Key Players Data Science and Machine-Learning Platforms Product Solution and Service
Table 24. Date of Enter into Data Science and Machine-Learning Platforms Market
Table 25. Mergers & Acquisitions, Expansion Plans
Table 26. Global Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 27. Global Data Science and Machine-Learning Platforms Market Size Share by Type (2015-2020)
Table 28. Global Data Science and Machine-Learning Platforms Revenue Market Share by Type (2021-2026)
Table 29. Global Data Science and Machine-Learning Platforms Market Size Share by Application (2015-2020)
Table 30. Global Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 31. Global Data Science and Machine-Learning Platforms Market Size Share by Application (2021-2026)
Table 32. North America Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 33. North America Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 34. North America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 35. North America Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 36. North America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 37. North America Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 38. Europe Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 39. Europe Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 40. Europe Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 41. Europe Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 42. Europe Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 43. Europe Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 44. China Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 45. China Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 46. China Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 47. China Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 48. China Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 49. China Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 50. Japan Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 51. Japan Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 52. Japan Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 53. Japan Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 54. Japan Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 55. Japan Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 56. Southeast Asia Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 57. Southeast Asia Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 58. Southeast Asia Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 59. Southeast Asia Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 60. Southeast Asia Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 61. Southeast Asia Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 62. India Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 63. India Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 64. India Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 65. India Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 66. India Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 67. India Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 68. Central & South America Key Players Data Science and Machine-Learning Platforms Revenue (2019-2020) (Million US$)
Table 69. Central & South America Key Players Data Science and Machine-Learning Platforms Market Share (2019-2020)
Table 70. Central & South America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020) (Million US$)
Table 71. Central & South America Data Science and Machine-Learning Platforms Market Share by Type (2015-2020)
Table 72. Central & South America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020) (Million US$)
Table 73. Central & South America Data Science and Machine-Learning Platforms Market Share by Application (2015-2020)
Table 74. SAS Company Details
Table 75. SAS Business Overview
Table 76. SAS Product
Table 77. SAS Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 78. SAS Recent Development
Table 79. Alteryx Company Details
Table 80. Alteryx Business Overview
Table 81. Alteryx Product
Table 82. Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 83. Alteryx Recent Development
Table 84. IBM Company Details
Table 85. IBM Business Overview
Table 86. IBM Product
Table 87. IBM Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 88. IBM Recent Development
Table 89. RapidMiner Company Details
Table 90. RapidMiner Business Overview
Table 91. RapidMiner Product
Table 92. RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 93. RapidMiner Recent Development
Table 94. KNIME Company Details
Table 95. KNIME Business Overview
Table 96. KNIME Product
Table 97. KNIME Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 98. KNIME Recent Development
Table 99. Microsoft Company Details
Table 100. Microsoft Business Overview
Table 101. Microsoft Product
Table 102. Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 103. Microsoft Recent Development
Table 104. Dataiku Company Details
Table 105. Dataiku Business Overview
Table 106. Dataiku Product
Table 107. Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 108. Dataiku Recent Development
Table 109. Databricks Business Overview
Table 110. Databricks Product
Table 111. Databricks Company Details
Table 112. Databricks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 113. Databricks Recent Development
Table 114. TIBCO Software Company Details
Table 115. TIBCO Software Business Overview
Table 116. TIBCO Software Product
Table 117. TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 118. TIBCO Software Recent Development
Table 119. MathWorks Company Details
Table 120. MathWorks Business Overview
Table 121. MathWorks Product
Table 122. MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 123. MathWorks Recent Development
Table 124. H20.ai Company Details
Table 125. H20.ai Business Overview
Table 126. H20.ai Product
Table 127. H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 128. H20.ai Recent Development
Table 129. Anaconda Company Details
Table 130. Anaconda Business Overview
Table 131. Anaconda Product
Table 132. Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 133. Anaconda Recent Development
Table 134. SAP Company Details
Table 135. SAP Business Overview
Table 136. SAP Product
Table 137. SAP Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 138. SAP Recent Development
Table 139. Google Company Details
Table 140. Google Business Overview
Table 141. Google Product
Table 142. Google Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 143. Google Recent Development
Table 144. Domino Data Lab Company Details
Table 145. Domino Data Lab Business Overview
Table 146. Domino Data Lab Product
Table 147. Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 148. Domino Data Lab Recent Development
Table 149. Angoss Company Details
Table 150. Angoss Business Overview
Table 151. Angoss Product
Table 152. Angoss Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 153. Angoss Recent Development
Table 154. Lexalytics Company Details
Table 155. Lexalytics Business Overview
Table 156. Lexalytics Product
Table 157. Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 158. Lexalytics Recent Development
Table 159. Rapid Insight Company Details
Table 160. Rapid Insight Business Overview
Table 161. Rapid Insight Product
Table 162. Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2015-2020) (Million US$)
Table 163. Rapid Insight Recent Development
Table 164. Research Programs/Design for This Report
Table 165. Key Data Information from Secondary Sources
Table 166. Key Data Information from Primary Sources

List Of Figures

LIST OF FIGURES

Figure 1. Global Data Science and Machine-Learning Platforms Market Share by Type: 2020 VS 2026
Figure 2. Open Source Data Integration Tools Features
Figure 3. Cloud-based Data Integration Tools Features
Figure 4. Global Data Science and Machine-Learning Platforms Market Share by Application: 2020 VS 2026
Figure 5. Small-Sized Enterprises Case Studies
Figure 6. Medium-Sized Enterprise Case Studies
Figure 7. Large Enterprises Case Studies
Figure 8. Data Science and Machine-Learning Platforms Report Years Considered
Figure 9. Global Data Science and Machine-Learning Platforms Market Size YoY Growth 2015-2026 (US$ Million)
Figure 10. Global Data Science and Machine-Learning Platforms Market Share by Regions: 2020 VS 2026
Figure 11. Global Data Science and Machine-Learning Platforms Market Share by Regions (2021-2026)
Figure 12. Porter's Five Forces Analysis
Figure 13. Global Data Science and Machine-Learning Platforms Market Share by Players in 2019
Figure 14. Global Top Data Science and Machine-Learning Platforms Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Data Science and Machine-Learning Platforms as of 2019
Figure 15. The Top 10 and 5 Players Market Share by Data Science and Machine-Learning Platforms Revenue in 2019
Figure 16. North America Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 17. Europe Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 18. China Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 19. Japan Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 20. Southeast Asia Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 21. India Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 22. Central & South America Data Science and Machine-Learning Platforms Market Size YoY Growth (2015-2020) (Million US$)
Figure 23. SAS Total Revenue (US$ Million): 2019 Compared with 2018
Figure 24. SAS Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 25. Alteryx Total Revenue (US$ Million): 2019 Compared with 2018
Figure 26. Alteryx Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 27. IBM Total Revenue (US$ Million): 2019 Compared with 2018
Figure 28. IBM Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 29. RapidMiner Total Revenue (US$ Million): 2019 Compared with 2018
Figure 30. RapidMiner Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 31. KNIME Total Revenue (US$ Million): 2019 Compared with 2018
Figure 32. KNIME Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 33. Microsoft Total Revenue (US$ Million): 2019 Compared with 2018
Figure 34. Microsoft Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 35. Dataiku Total Revenue (US$ Million): 2019 Compared with 2018
Figure 36. Dataiku Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 37. Databricks Total Revenue (US$ Million): 2019 Compared with 2018
Figure 38. Databricks Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 39. TIBCO Software Total Revenue (US$ Million): 2019 Compared with 2018
Figure 40. TIBCO Software Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 41. MathWorks Total Revenue (US$ Million): 2019 Compared with 2018
Figure 42. MathWorks Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 43. H20.ai Total Revenue (US$ Million): 2019 Compared with 2018
Figure 44. H20.ai Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 45. Anaconda Total Revenue (US$ Million): 2019 Compared with 2018
Figure 46. Anaconda Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 47. SAP Total Revenue (US$ Million): 2019 Compared with 2018
Figure 48. SAP Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 49. Google Total Revenue (US$ Million): 2019 Compared with 2018
Figure 50. Google Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 51. Domino Data Lab Total Revenue (US$ Million): 2019 Compared with 2018
Figure 52. Domino Data Lab Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 53. Angoss Total Revenue (US$ Million): 2019 Compared with 2018
Figure 54. Angoss Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 55. Lexalytics Total Revenue (US$ Million): 2019 Compared with 2018
Figure 56. Lexalytics Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 57. Rapid Insight Total Revenue (US$ Million): 2019 Compared with 2018
Figure 58. Rapid Insight Revenue Growth Rate in Data Science and Machine-Learning Platforms Business (2015-2020)
Figure 59. Bottom-up and Top-down Approaches for This Report
Figure 60. Data Triangulation
Figure 61. Key Executives Interviewed