Global Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028

  • receipt Report ID : 100972
  • calendar_today Published On: Mar, 2022
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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.

According to our latest study, due to COVID-19 pandemic, the global Data Science and Machine-Learning Platforms market size is estimated to be worth US$ million in 2021 and is forecast to a readjusted size of USD million by 2028 with a CAGR of % during review period. Small-Sized Enterprises accounting for % of the Data Science and Machine-Learning Platforms global market in 2021, is projected to value USD million by 2028, growing at a % CAGR in next six years. While Open Source Data Integration Tools segment is altered to a % CAGR between 2022 and 2028.

Global key companies of Data Science and Machine-Learning Platforms include SAS, Alteryx, IBM, RapidMiner, and KNIME, etc. In terms of revenue, the global top four players hold a share over % in 2021.

Market segmentation

Data Science and Machine-Learning Platforms market is split by Type and by Application. For the period 2017-2028, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

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

Market segment by players, this report covers

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 regions, regional analysis covers

North America (United States, Canada, and Mexico)

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

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)

South America (Brazil, Argentina, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 12 chapters:

Chapter 1, to describe Data Science and Machine-Learning Platforms product scope, market overview, market opportunities, market driving force and market risks.

Chapter 2, to profile the top players of Data Science and Machine-Learning Platforms, with revenue, gross margin and global market share of Data Science and Machine-Learning Platforms from 2019 to 2022.

Chapter 3, the Data Science and Machine-Learning Platforms competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2017 to 2028.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2017 to 2022.and Data Science and Machine-Learning Platforms market forecast, by regions, type and application, with revenue, from 2023 to 2028.

Chapter 11 and 12, to describe Data Science and Machine-Learning Platforms research findings and conclusion, appendix and data source.

Frequently Asked Questions

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

Market is segmented on the basis:

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

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

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

1 Market Overview

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 Market Size by Type: 2017 Versus 2021 Versus 2028

1.2.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Type in 2021

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 Market Size by Application: 2017 Versus 2021 Versus 2028

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 & Forecast

1.5 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Region

1.5.1 Global Data Science and Machine-Learning Platforms Market Size by Region: 2017 VS 2021 VS 2028

1.5.2 Global Data Science and Machine-Learning Platforms Market Size by Region, (2017-2022)

1.5.3 North America Data Science and Machine-Learning Platforms Market Size and Prospect (2017-2028)

1.5.4 Europe Data Science and Machine-Learning Platforms Market Size and Prospect (2017-2028)

1.5.5 Asia-Pacific Data Science and Machine-Learning Platforms Market Size and Prospect (2017-2028)

1.5.6 South America Data Science and Machine-Learning Platforms Market Size and Prospect (2017-2028)

1.5.7 Middle East and Africa Data Science and Machine-Learning Platforms Market Size and Prospect (2017-2028)

1.6 Market Drivers, Restraints and Trends

1.6.1 Data Science and Machine-Learning Platforms Market Drivers

1.6.2 Data Science and Machine-Learning Platforms Market Restraints

1.6.3 Data Science and Machine-Learning Platforms Trends Analysis

2 Company Profiles

2 Company Profiles

2.1 SAS

2.1.1 SAS Details

2.1.2 SAS Major Business

2.1.3 SAS Data Science and Machine-Learning Platforms Product and Solutions

2.1.4 SAS Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.1.5 SAS Recent Developments and Future Plans

2.2 Alteryx

2.2.1 Alteryx Details

2.2.2 Alteryx Major Business

2.2.3 Alteryx Data Science and Machine-Learning Platforms Product and Solutions

2.2.4 Alteryx Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.2.5 Alteryx Recent Developments and Future Plans

2.3 IBM

2.3.1 IBM Details

2.3.2 IBM Major Business

2.3.3 IBM Data Science and Machine-Learning Platforms Product and Solutions

2.3.4 IBM Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.3.5 IBM Recent Developments and Future Plans

2.4 RapidMiner

2.4.1 RapidMiner Details

2.4.2 RapidMiner Major Business

2.4.3 RapidMiner Data Science and Machine-Learning Platforms Product and Solutions

2.4.4 RapidMiner Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.4.5 RapidMiner Recent Developments and Future Plans

2.5 KNIME

2.5.1 KNIME Details

2.5.2 KNIME Major Business

2.5.3 KNIME Data Science and Machine-Learning Platforms Product and Solutions

2.5.4 KNIME Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.5.5 KNIME Recent Developments and Future Plans

2.6 Microsoft

2.6.1 Microsoft Details

2.6.2 Microsoft Major Business

2.6.3 Microsoft Data Science and Machine-Learning Platforms Product and Solutions

2.6.4 Microsoft Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.6.5 Microsoft Recent Developments and Future Plans

2.7 Dataiku

2.7.1 Dataiku Details

2.7.2 Dataiku Major Business

2.7.3 Dataiku Data Science and Machine-Learning Platforms Product and Solutions

2.7.4 Dataiku Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.7.5 Dataiku Recent Developments and Future Plans

2.8 Databricks

2.8.1 Databricks Details

2.8.2 Databricks Major Business

2.8.3 Databricks Data Science and Machine-Learning Platforms Product and Solutions

2.8.4 Databricks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.8.5 Databricks Recent Developments and Future Plans

2.9 TIBCO Software

2.9.1 TIBCO Software Details

2.9.2 TIBCO Software Major Business

2.9.3 TIBCO Software Data Science and Machine-Learning Platforms Product and Solutions

2.9.4 TIBCO Software Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.9.5 TIBCO Software Recent Developments and Future Plans

2.10 MathWorks

2.10.1 MathWorks Details

2.10.2 MathWorks Major Business

2.10.3 MathWorks Data Science and Machine-Learning Platforms Product and Solutions

2.10.4 MathWorks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.10.5 MathWorks Recent Developments and Future Plans

2.11 H20.ai

2.11.1 H20.ai Details

2.11.2 H20.ai Major Business

2.11.3 H20.ai Data Science and Machine-Learning Platforms Product and Solutions

2.11.4 H20.ai Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.11.5 H20.ai Recent Developments and Future Plans

2.12 Anaconda

2.12.1 Anaconda Details

2.12.2 Anaconda Major Business

2.12.3 Anaconda Data Science and Machine-Learning Platforms Product and Solutions

2.12.4 Anaconda Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.12.5 Anaconda Recent Developments and Future Plans

2.13 SAP

2.13.1 SAP Details

2.13.2 SAP Major Business

2.13.3 SAP Data Science and Machine-Learning Platforms Product and Solutions

2.13.4 SAP Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.13.5 SAP Recent Developments and Future Plans

2.14 Google

2.14.1 Google Details

2.14.2 Google Major Business

2.14.3 Google Data Science and Machine-Learning Platforms Product and Solutions

2.14.4 Google Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.14.5 Google Recent Developments and Future Plans

2.15 Domino Data Lab

2.15.1 Domino Data Lab Details

2.15.2 Domino Data Lab Major Business

2.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Product and Solutions

2.15.4 Domino Data Lab Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.15.5 Domino Data Lab Recent Developments and Future Plans

2.16 Angoss

2.16.1 Angoss Details

2.16.2 Angoss Major Business

2.16.3 Angoss Data Science and Machine-Learning Platforms Product and Solutions

2.16.4 Angoss Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.16.5 Angoss Recent Developments and Future Plans

2.17 Lexalytics

2.17.1 Lexalytics Details

2.17.2 Lexalytics Major Business

2.17.3 Lexalytics Data Science and Machine-Learning Platforms Product and Solutions

2.17.4 Lexalytics Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.17.5 Lexalytics Recent Developments and Future Plans

2.18 Rapid Insight

2.18.1 Rapid Insight Details

2.18.2 Rapid Insight Major Business

2.18.3 Rapid Insight Data Science and Machine-Learning Platforms Product and Solutions

2.18.4 Rapid Insight Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019, 2020, 2021, and 2022)

2.18.5 Rapid Insight Recent Developments and Future Plans

3 Market Competition, by Players

3 Market Competition, by Players

3.1 Global Data Science and Machine-Learning Platforms Revenue and Share by Players (2019, 2020, 2021, and 2022)

3.2 Market Concentration Rate

3.2.1 Top 3 Data Science and Machine-Learning Platforms Players Market Share in 2021

3.2.2 Top 10 Data Science and Machine-Learning Platforms Players Market Share in 2021

3.2.3 Market Competition Trend

3.3 Data Science and Machine-Learning Platforms Players Head Office, Products and Services Provided

3.4 Data Science and Machine-Learning Platforms Mergers & Acquisitions

3.5 Data Science and Machine-Learning Platforms New Entrants and Expansion Plans

4 Market Size Segment by Type

4 Market Size Segment by Type

4.1 Global Data Science and Machine-Learning Platforms Revenue and Market Share by Type (2017-2022)

4.2 Global Data Science and Machine-Learning Platforms Market Forecast by Type (2023-2028)

5 Market Size Segment by Application

5 Market Size Segment by Application

5.1 Global Data Science and Machine-Learning Platforms Revenue Market Share by Application (2017-2022)

5.2 Global Data Science and Machine-Learning Platforms Market Forecast by Application (2023-2028)

6 North America by Country, by Type, and by Application

6 North America by Country, by Type, and by Application

6.1 North America Data Science and Machine-Learning Platforms Revenue by Type (2017-2028)

6.2 North America Data Science and Machine-Learning Platforms Revenue by Application (2017-2028)

6.3 North America Data Science and Machine-Learning Platforms Market Size by Country

6.3.1 North America Data Science and Machine-Learning Platforms Revenue by Country (2017-2028)

6.3.2 United States Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

6.3.3 Canada Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

6.3.4 Mexico Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

7 Europe by Country, by Type, and by Application

7 Europe by Country, by Type, and by Application

7.1 Europe Data Science and Machine-Learning Platforms Revenue by Type (2017-2028)

7.2 Europe Data Science and Machine-Learning Platforms Revenue by Application (2017-2028)

7.3 Europe Data Science and Machine-Learning Platforms Market Size by Country

7.3.1 Europe Data Science and Machine-Learning Platforms Revenue by Country (2017-2028)

7.3.2 Germany Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

7.3.3 France Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

7.3.4 United Kingdom Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

7.3.5 Russia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

7.3.6 Italy Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8 Asia-Pacific by Region, by Type, and by Application

8 Asia-Pacific by Region, by Type, and by Application

8.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Type (2017-2028)

8.2 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Application (2017-2028)

8.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region

8.3.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Region (2017-2028)

8.3.2 China Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8.3.3 Japan Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8.3.4 South Korea Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8.3.5 India Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8.3.6 Southeast Asia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

8.3.7 Australia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

9 South America by Country, by Type, and by Application

9 South America by Country, by Type, and by Application

9.1 South America Data Science and Machine-Learning Platforms Revenue by Type (2017-2028)

9.2 South America Data Science and Machine-Learning Platforms Revenue by Application (2017-2028)

9.3 South America Data Science and Machine-Learning Platforms Market Size by Country

9.3.1 South America Data Science and Machine-Learning Platforms Revenue by Country (2017-2028)

9.3.2 Brazil Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

9.3.3 Argentina Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

10 Middle East & Africa by Country, by Type, and by Application

10 Middle East & Africa by Country, by Type, and by Application

10.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type (2017-2028)

10.2 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application (2017-2028)

10.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country

10.3.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Country (2017-2028)

10.3.2 Turkey Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

10.3.3 Saudi Arabia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

10.3.4 UAE Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2028)

11 Research Findings and Conclusion

11 Research Findings and Conclusion

12 Appendix

12 Appendix

12.1 Methodology

12.2 Research Process and Data Source

12.3 Disclaimer

List of Tables

Table 1. Global Data Science and Machine-Learning Platforms Revenue by Type, (USD Million), 2017 VS 2021 VS 2028

Table 2. Global Data Science and Machine-Learning Platforms Revenue by Application, (USD Million), 2017 VS 2021 VS 2028

Table 3. Global Market Data Science and Machine-Learning Platforms Revenue (Million USD) Comparison by Region (2017 VS 2021 VS 2028)

Table 4. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Region (2017-2022)

Table 5. Global Data Science and Machine-Learning Platforms Revenue Market Share by Region (2023-2028)

Table 6. SAS Corporate Information, Head Office, and Major Competitors

Table 7. SAS Major Business

Table 8. SAS Data Science and Machine-Learning Platforms Product and Solutions

Table 9. SAS Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 10. Alteryx Corporate Information, Head Office, and Major Competitors

Table 11. Alteryx Major Business

Table 12. Alteryx Data Science and Machine-Learning Platforms Product and Solutions

Table 13. Alteryx Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 14. IBM Corporate Information, Head Office, and Major Competitors

Table 15. IBM Major Business

Table 16. IBM Data Science and Machine-Learning Platforms Product and Solutions

Table 17. IBM Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 18. RapidMiner Corporate Information, Head Office, and Major Competitors

Table 19. RapidMiner Major Business

Table 20. RapidMiner Data Science and Machine-Learning Platforms Product and Solutions

Table 21. RapidMiner Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 22. KNIME Corporate Information, Head Office, and Major Competitors

Table 23. KNIME Major Business

Table 24. KNIME Data Science and Machine-Learning Platforms Product and Solutions

Table 25. KNIME Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 26. Microsoft Corporate Information, Head Office, and Major Competitors

Table 27. Microsoft Major Business

Table 28. Microsoft Data Science and Machine-Learning Platforms Product and Solutions

Table 29. Microsoft Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 30. Dataiku Corporate Information, Head Office, and Major Competitors

Table 31. Dataiku Major Business

Table 32. Dataiku Data Science and Machine-Learning Platforms Product and Solutions

Table 33. Dataiku Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 34. Databricks Corporate Information, Head Office, and Major Competitors

Table 35. Databricks Major Business

Table 36. Databricks Data Science and Machine-Learning Platforms Product and Solutions

Table 37. Databricks Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 38. TIBCO Software Corporate Information, Head Office, and Major Competitors

Table 39. TIBCO Software Major Business

Table 40. TIBCO Software Data Science and Machine-Learning Platforms Product and Solutions

Table 41. TIBCO Software Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 42. MathWorks Corporate Information, Head Office, and Major Competitors

Table 43. MathWorks Major Business

Table 44. MathWorks Data Science and Machine-Learning Platforms Product and Solutions

Table 45. MathWorks Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 46. H20.ai Corporate Information, Head Office, and Major Competitors

Table 47. H20.ai Major Business

Table 48. H20.ai Data Science and Machine-Learning Platforms Product and Solutions

Table 49. H20.ai Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 50. Anaconda Corporate Information, Head Office, and Major Competitors

Table 51. Anaconda Major Business

Table 52. Anaconda Data Science and Machine-Learning Platforms Product and Solutions

Table 53. Anaconda Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 54. SAP Corporate Information, Head Office, and Major Competitors

Table 55. SAP Major Business

Table 56. SAP Data Science and Machine-Learning Platforms Product and Solutions

Table 57. SAP Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 58. Google Corporate Information, Head Office, and Major Competitors

Table 59. Google Major Business

Table 60. Google Data Science and Machine-Learning Platforms Product and Solutions

Table 61. Google Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 62. Domino Data Lab Corporate Information, Head Office, and Major Competitors

Table 63. Domino Data Lab Major Business

Table 64. Domino Data Lab Data Science and Machine-Learning Platforms Product and Solutions

Table 65. Domino Data Lab Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 66. Angoss Corporate Information, Head Office, and Major Competitors

Table 67. Angoss Major Business

Table 68. Angoss Data Science and Machine-Learning Platforms Product and Solutions

Table 69. Angoss Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 70. Lexalytics Corporate Information, Head Office, and Major Competitors

Table 71. Lexalytics Major Business

Table 72. Lexalytics Data Science and Machine-Learning Platforms Product and Solutions

Table 73. Lexalytics Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 74. Rapid Insight Corporate Information, Head Office, and Major Competitors

Table 75. Rapid Insight Major Business

Table 76. Rapid Insight Data Science and Machine-Learning Platforms Product and Solutions

Table 77. Rapid Insight Data Science and Machine-Learning Platforms Revenue (USD Million), Gross Margin and Market Share (2019, 2020, 2021, and 2022)

Table 78. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Players (2019, 2020, 2021, and 2022)

Table 79. Global Data Science and Machine-Learning Platforms Revenue Share by Players (2019, 2020, 2021, and 2022)

Table 80. Breakdown of Data Science and Machine-Learning Platforms by Company Type (Tier 1, Tier 2 and Tier 3)

Table 81. Data Science and Machine-Learning Platforms Players Head Office, Products and Services Provided

Table 82. Data Science and Machine-Learning Platforms Mergers & Acquisitions in the Past Five Years

Table 83. Data Science and Machine-Learning Platforms New Entrants and Expansion Plans

Table 84. Global Data Science and Machine-Learning Platforms Revenue (USD Million) by Type (2017-2022)

Table 85. Global Data Science and Machine-Learning Platforms Revenue Share by Type (2017-2022)

Table 86. Global Data Science and Machine-Learning Platforms Revenue Forecast by Type (2023-2028)

Table 87. Global Data Science and Machine-Learning Platforms Revenue by Application (2017-2022)

Table 88. Global Data Science and Machine-Learning Platforms Revenue Forecast by Application (2023-2028)

Table 89. North America Data Science and Machine-Learning Platforms Revenue by Type (2017-2022) & (USD Million)

Table 90. North America Data Science and Machine-Learning Platforms Revenue by Type (2023-2028) & (USD Million)

Table 91. North America Data Science and Machine-Learning Platforms Revenue by Application (2017-2022) & (USD Million)

Table 92. North America Data Science and Machine-Learning Platforms Revenue by Application (2023-2028) & (USD Million)

Table 93. North America Data Science and Machine-Learning Platforms Revenue by Country (2017-2022) & (USD Million)

Table 94. North America Data Science and Machine-Learning Platforms Revenue by Country (2023-2028) & (USD Million)

Table 95. Europe Data Science and Machine-Learning Platforms Revenue by Type (2017-2022) & (USD Million)

Table 96. Europe Data Science and Machine-Learning Platforms Revenue by Type (2023-2028) & (USD Million)

Table 97. Europe Data Science and Machine-Learning Platforms Revenue by Application (2017-2022) & (USD Million)

Table 98. Europe Data Science and Machine-Learning Platforms Revenue by Application (2023-2028) & (USD Million)

Table 99. Europe Data Science and Machine-Learning Platforms Revenue by Country (2017-2022) & (USD Million)

Table 100. Europe Data Science and Machine-Learning Platforms Revenue by Country (2023-2028) & (USD Million)

Table 101. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Type (2017-2022) & (USD Million)

Table 102. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Type (2023-2028) & (USD Million)

Table 103. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Application (2017-2022) & (USD Million)

Table 104. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Application (2023-2028) & (USD Million)

Table 105. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Region (2017-2022) & (USD Million)

Table 106. Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Region (2023-2028) & (USD Million)

Table 107. South America Data Science and Machine-Learning Platforms Revenue by Type (2017-2022) & (USD Million)

Table 108. South America Data Science and Machine-Learning Platforms Revenue by Type (2023-2028) & (USD Million)

Table 109. South America Data Science and Machine-Learning Platforms Revenue by Application (2017-2022) & (USD Million)

Table 110. South America Data Science and Machine-Learning Platforms Revenue by Application (2023-2028) & (USD Million)

Table 111. South America Data Science and Machine-Learning Platforms Revenue by Country (2017-2022) & (USD Million)

Table 112. South America Data Science and Machine-Learning Platforms Revenue by Country (2023-2028) & (USD Million)

Table 113. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type (2017-2022) & (USD Million)

Table 114. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type (2023-2028) & (USD Million)

Table 115. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application (2017-2022) & (USD Million)

Table 116. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application (2023-2028) & (USD Million)

Table 117. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Country (2017-2022) & (USD Million)

Table 118. Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Country (2023-2028) & (USD Million)

List of Figures

Figure 1. Data Science and Machine-Learning Platforms Picture

Figure 2. Global Data Science and Machine-Learning Platforms Revenue Market Share by Type in 2021

Figure 3. Open Source Data Integration Tools

Figure 4. Cloud-based Data Integration Tools

Figure 5. Data Science and Machine-Learning Platforms Revenue Market Share by Application in 2021

Figure 6. Small-Sized Enterprises Picture

Figure 7. Medium-Sized Enterprise Picture

Figure 8. Large Enterprises Picture

Figure 9. Global Data Science and Machine-Learning Platforms Market Size, (USD Million): 2017 VS 2021 VS 2028

Figure 10. Global Data Science and Machine-Learning Platforms Revenue and Forecast (2017-2028) & (USD Million)

Figure 11. Global Data Science and Machine-Learning Platforms Revenue Market Share by Region (2017-2028)

Figure 12. Global Data Science and Machine-Learning Platforms Revenue Market Share by Region in 2021

Figure 13. North America Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2017-2028)

Figure 14. Europe Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2017-2028)

Figure 15. Asia-Pacific Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2017-2028)

Figure 16. South America Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2017-2028)

Figure 17. Middle East and Africa Data Science and Machine-Learning Platforms Revenue (USD Million) and Growth Rate (2017-2028)

Figure 18. Data Science and Machine-Learning Platforms Market Drivers

Figure 19. Data Science and Machine-Learning Platforms Market Restraints

Figure 20. Data Science and Machine-Learning Platforms Market Trends

Figure 21. SAS Recent Developments and Future Plans

Figure 22. Alteryx Recent Developments and Future Plans

Figure 23. IBM Recent Developments and Future Plans

Figure 24. RapidMiner Recent Developments and Future Plans

Figure 25. KNIME Recent Developments and Future Plans

Figure 26. Microsoft Recent Developments and Future Plans

Figure 27. Dataiku Recent Developments and Future Plans

Figure 28. Databricks Recent Developments and Future Plans

Figure 29. TIBCO Software Recent Developments and Future Plans

Figure 30. MathWorks Recent Developments and Future Plans

Figure 31. H20.ai Recent Developments and Future Plans

Figure 32. Anaconda Recent Developments and Future Plans

Figure 33. SAP Recent Developments and Future Plans

Figure 34. Google Recent Developments and Future Plans

Figure 35. Domino Data Lab Recent Developments and Future Plans

Figure 36. Angoss Recent Developments and Future Plans

Figure 37. Lexalytics Recent Developments and Future Plans

Figure 38. Rapid Insight Recent Developments and Future Plans

Figure 39. Global Data Science and Machine-Learning Platforms Revenue Share by Players in 2021

Figure 40. Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2021

Figure 41. Global Top 3 Players Data Science and Machine-Learning Platforms Revenue Market Share in 2021

Figure 42. Global Top 10 Players Data Science and Machine-Learning Platforms Revenue Market Share in 2021

Figure 43. Key Players Market Share Trend (Top 3 Market Share: 2020 VS 2021 VS 2022)

Figure 44. Global Data Science and Machine-Learning Platforms Revenue Share by Type in 2021

Figure 45. Global Data Science and Machine-Learning Platforms Market Share Forecast by Type (2023-2028)

Figure 46. Global Data Science and Machine-Learning Platforms Revenue Share by Application in 2021

Figure 47. Global Data Science and Machine-Learning Platforms Market Share Forecast by Application (2023-2028)

Figure 48. North America Data Science and Machine-Learning Platforms Sales Market Share by Type (2017-2028)

Figure 49. North America Data Science and Machine-Learning Platforms Sales Market Share by Application (2017-2028)

Figure 50. North America Data Science and Machine-Learning Platforms Revenue Market Share by Country (2017-2028)

Figure 51. United States Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 52. Canada Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 53. Mexico Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 54. Europe Data Science and Machine-Learning Platforms Sales Market Share by Type (2017-2028)

Figure 55. Europe Data Science and Machine-Learning Platforms Sales Market Share by Application (2017-2028)

Figure 56. Europe Data Science and Machine-Learning Platforms Revenue Market Share by Country (2017-2028)

Figure 57. Germany Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 58. France Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 59. United Kingdom Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 60. Russia Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 61. Italy Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 62. Asia-Pacific Data Science and Machine-Learning Platforms Sales Market Share by Type (2017-2028)

Figure 63. Asia-Pacific Data Science and Machine-Learning Platforms Sales Market Share by Application (2017-2028)

Figure 64. Asia-Pacific Data Science and Machine-Learning Platforms Revenue Market Share by Region (2017-2028)

Figure 65. China Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 66. Japan Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 67. South Korea Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 68. India Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 69. Southeast Asia Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 70. Australia Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 71. South America Data Science and Machine-Learning Platforms Sales Market Share by Type (2017-2028)

Figure 72. South America Data Science and Machine-Learning Platforms Sales Market Share by Application (2017-2028)

Figure 73. South America Data Science and Machine-Learning Platforms Revenue Market Share by Country (2017-2028)

Figure 74. Brazil Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 75. Argentina Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 76. Middle East and Africa Data Science and Machine-Learning Platforms Sales Market Share by Type (2017-2028)

Figure 77. Middle East and Africa Data Science and Machine-Learning Platforms Sales Market Share by Application (2017-2028)

Figure 78. Middle East and Africa Data Science and Machine-Learning Platforms Revenue Market Share by Country (2017-2028)

Figure 79. Turkey Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 80. Saudi Arabia Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 81. UAE Data Science and Machine-Learning Platforms Revenue and Growth Rate (2017-2028) & (USD Million)

Figure 82. Methodology

Figure 83. Research Process and Data Source