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Global Data Science and Machine-Learning Platforms Market Size, Status and Forecast 2020-2026
Published Date: September 2020
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Report Code: QYRE-Othe-3W315
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Data Science and Machine Learning Platforms Market

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

Code: QYRE-Othe-3W315
Report
September 2020
133 Pages
QYResearch
Region:
Description
Table of Content
Tables & Figures

Market Analysis and Insights: Global Data Science and Machine-Learning Platforms Market

The global Data Science and Machine-Learning Platforms market size is projected to reach US$ XX million by 2026, from US$ XX million in 2020, at a CAGR of XX%% during 2021-2026.

Global Data Science and Machine-Learning Platforms Scope and Market Size

Data Science and Machine-Learning Platforms market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Data Science and Machine-Learning Platforms market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

The following players are covered in this report:

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

Data Science and Machine-Learning Platforms Breakdown Data by Type

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

Data Science and Machine-Learning Platforms Breakdown Data by Application

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

 

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 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

    2.1 Global Data Science and Machine-Learning Platforms Market Perspective (2015-2026)

    2.2 Global 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 Market Size 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 Market Size 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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

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

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. Bottom-up and Top-down Approaches for This Report

Figure 24. Data Triangulation

Figure 25. Key Executives Interviewed

Market Analysis and Insights: Global Data Science and Machine-Learning Platforms Market

The global Data Science and Machine-Learning Platforms market size is projected to reach US$ XX million by 2026, from US$ XX million in 2020, at a CAGR of XX%% during 2021-2026.

Global Data Science and Machine-Learning Platforms Scope and Market Size

Data Science and Machine-Learning Platforms market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Data Science and Machine-Learning Platforms market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

The following players are covered in this report:

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

Data Science and Machine-Learning Platforms Breakdown Data by Type

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

Data Science and Machine-Learning Platforms Breakdown Data by Application

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

 

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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 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

    2.1 Global Data Science and Machine-Learning Platforms Market Perspective (2015-2026)

    2.2 Global 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 Market Size 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 Market Size 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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

        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

Read More

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

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. Bottom-up and Top-down Approaches for This Report

Figure 24. Data Triangulation

Figure 25. Key Executives Interviewed

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