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Data Science Platform Services - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Published Date: October 2024
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Report Code: QYRE-Auto-27Y1825
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Global Data Science Platform Services Market Insights Forecast to 2028
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Data Science Platform Services - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Code: QYRE-Auto-27Y1825
Report
October 2024
Pages:134
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Data Science Platform Services - Market Size

The global market for Data Science Platform Services was estimated to be worth US$ 4790 million in 2023 and is forecast to a readjusted size of US$ 20150 million by 2030 with a CAGR of 23.0% during the forecast period 2024-2030

Data Science Platform Services - Market

Data Science Platform Services - Market

Data science platform services refer to the suite of tools, technologies, and capabilities that help organizations build, manage, and leverage data science environments. These services aim to facilitate the entire data science lifecycle, from data preparation and exploration to model development, deployment, and monitoring.
The global data science platform services market refers to the market for products and services related to data science platforms. It encompasses the platforms, tools, and services that organizations use to build, deploy, and manage their data science environments.
The market for data science platform services has been experiencing significant growth in recent years, driven by the increasing demand for advanced analytics and the need to extract insights from vast amounts of data. Organizations across various industries, such as finance, healthcare, retail, and manufacturing, are adopting data science platforms to enhance decision-making, improve operational efficiency, and drive innovation.
Several factors are contributing to the growth of the global data science platform services market:
Growing Data Complexity: The increasing volume, variety, and velocity of data require advanced tools and platforms to handle and analyze data efficiently. Data science platforms provide the necessary capabilities to process and analyze complex data from multiple sources.
Advancements in AI and Machine Learning: The rapid developments in artificial intelligence (AI) and machine learning (ML) technologies are driving the adoption of data science platforms. These platforms provide the infrastructure and tools to develop, deploy, and operationalize AI and ML models.
Need for Collaboration and Integration: Collaborative features and integration capabilities offered by data science platforms are crucial for organizations to foster collaboration among data scientists, data engineers, and business users. These platforms enable seamless sharing of data, code, models, and insights, aiding in faster decision-making.
Adoption of Cloud Computing: The shift towards cloud computing has played a significant role in the growth of data science platforms. Cloud-based platforms offer scalability, flexibility, and cost-effectiveness, allowing organizations to leverage cutting-edge data science capabilities without heavy infrastructure investments.
Regulatory Compliance and Data Governance: With increased data privacy regulations, organizations require data science platforms that ensure data governance, compliance, and security. These platforms provide features to manage data access, track data lineage, and maintain audit trails.
Focus on Automated Machine Learning: The automation of machine learning processes is gaining traction in the data science community. Data science platforms that offer automated machine learning (AutoML) capabilities simplify and speed up the process of developing and deploying machine learning models.
The global data science platform services market is highly competitive, with several established players and new entrants vying for market share. Prominent vendors in the market include IBM Corporation, Microsoft Corporation, Alphabet, Altair Engineering, Alteryx, MathWorks, SAS Institute, and RapidMiner, among others.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Data Science Platform Services, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Science Platform Services by region & country, by Type, and by Application.
The Data Science Platform Services market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science Platform Services.
Market Segmentation

Scope of Data Science Platform Services - Market Report

Report Metric Details
Report Name Data Science Platform Services - Market
Forecasted market size in 2030 US$ 20150 million
CAGR 23.0%
Forecasted years 2024 - 2030
Segment by Type:
  • Cloud Based
  • On-premises
Segment by Application
  • Marketing
  • Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Others
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company IBM Corporation, Microsoft Corporation, Alphabet, Altair Engineering, Alteryx, MathWorks, SAS Institute, RapidMiner, Databricks, H2O.ai, Dataiku, KNIME, Domino Data Lab, Cloudera, DataRobot
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
  • Chapter 2: Detailed analysis of Data Science Platform Services manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 5: Revenue of Data Science Platform Services in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
  • Chapter 6: Revenue of Data Science Platform Services in country level. It provides sigmate data by Type, and by Application for each country/region.
  • Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
  • Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
  • Chapter 9: Conclusion.

FAQ for this report

What is the Data Science Platform Services - Market size in 2030?

Ans: The Data Science Platform Services - Market size in 2030 will be US$ 20150 million.

Who are the main players in the Data Science Platform Services - Market report?

Ans: The main players in the Data Science Platform Services - Market are IBM Corporation, Microsoft Corporation, Alphabet, Altair Engineering, Alteryx, MathWorks, SAS Institute, RapidMiner, Databricks, H2O.ai, Dataiku, KNIME, Domino Data Lab, Cloudera, DataRobot

What are the Application segmentation covered in the Data Science Platform Services - Market report?

Ans: The Applications covered in the Data Science Platform Services - Market report are Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Others

What are the Type segmentation covered in the Data Science Platform Services - Market report?

Ans: The Types covered in the Data Science Platform Services - Market report are Cloud Based, On-premises

1 Market Overview
1.1 Data Science Platform Services Product Introduction
1.2 Global Data Science Platform Services Market Size Forecast
1.3 Data Science Platform Services Market Trends & Drivers
1.3.1 Data Science Platform Services Industry Trends
1.3.2 Data Science Platform Services Market Drivers & Opportunity
1.3.3 Data Science Platform Services Market Challenges
1.3.4 Data Science Platform Services Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Science Platform Services Players Revenue Ranking (2023)
2.2 Global Data Science Platform Services Revenue by Company (2019-2024)
2.3 Key Companies Data Science Platform Services Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Science Platform Services Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Science Platform Services
2.6 Data Science Platform Services Market Competitive Analysis
2.6.1 Data Science Platform Services Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Science Platform Services Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science Platform Services as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 On-premises
3.2 Global Data Science Platform Services Sales Value by Type
3.2.1 Global Data Science Platform Services Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Science Platform Services Sales Value, by Type (2019-2030)
3.2.3 Global Data Science Platform Services Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Marketing
4.1.2 Sales
4.1.3 Logistics
4.1.4 Finance and Accounting
4.1.5 Customer Support
4.1.6 Others
4.2 Global Data Science Platform Services Sales Value by Application
4.2.1 Global Data Science Platform Services Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Science Platform Services Sales Value, by Application (2019-2030)
4.2.3 Global Data Science Platform Services Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Science Platform Services Sales Value by Region
5.1.1 Global Data Science Platform Services Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Science Platform Services Sales Value by Region (2019-2024)
5.1.3 Global Data Science Platform Services Sales Value by Region (2025-2030)
5.1.4 Global Data Science Platform Services Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Science Platform Services Sales Value, 2019-2030
5.2.2 North America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Science Platform Services Sales Value, 2019-2030
5.3.2 Europe Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Science Platform Services Sales Value, 2019-2030
5.4.2 Asia Pacific Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Science Platform Services Sales Value, 2019-2030
5.5.2 South America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Science Platform Services Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Science Platform Services Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Science Platform Services Sales Value
6.3 United States
6.3.1 United States Data Science Platform Services Sales Value, 2019-2030
6.3.2 United States Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Science Platform Services Sales Value, 2019-2030
6.4.2 Europe Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Science Platform Services Sales Value, 2019-2030
6.5.2 China Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Science Platform Services Sales Value, 2019-2030
6.6.2 Japan Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Science Platform Services Sales Value, 2019-2030
6.7.2 South Korea Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Science Platform Services Sales Value, 2019-2030
6.8.2 Southeast Asia Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Science Platform Services Sales Value, 2019-2030
6.9.2 India Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Science Platform Services Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM Corporation
7.1.1 IBM Corporation Profile
7.1.2 IBM Corporation Main Business
7.1.3 IBM Corporation Data Science Platform Services Products, Services and Solutions
7.1.4 IBM Corporation Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Corporation Recent Developments
7.2 Microsoft Corporation
7.2.1 Microsoft Corporation Profile
7.2.2 Microsoft Corporation Main Business
7.2.3 Microsoft Corporation Data Science Platform Services Products, Services and Solutions
7.2.4 Microsoft Corporation Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Corporation Recent Developments
7.3 Alphabet
7.3.1 Alphabet Profile
7.3.2 Alphabet Main Business
7.3.3 Alphabet Data Science Platform Services Products, Services and Solutions
7.3.4 Alphabet Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.3.5 Altair Engineering Recent Developments
7.4 Altair Engineering
7.4.1 Altair Engineering Profile
7.4.2 Altair Engineering Main Business
7.4.3 Altair Engineering Data Science Platform Services Products, Services and Solutions
7.4.4 Altair Engineering Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.4.5 Altair Engineering Recent Developments
7.5 Alteryx
7.5.1 Alteryx Profile
7.5.2 Alteryx Main Business
7.5.3 Alteryx Data Science Platform Services Products, Services and Solutions
7.5.4 Alteryx Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.5.5 Alteryx Recent Developments
7.6 MathWorks
7.6.1 MathWorks Profile
7.6.2 MathWorks Main Business
7.6.3 MathWorks Data Science Platform Services Products, Services and Solutions
7.6.4 MathWorks Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.6.5 MathWorks Recent Developments
7.7 SAS Institute
7.7.1 SAS Institute Profile
7.7.2 SAS Institute Main Business
7.7.3 SAS Institute Data Science Platform Services Products, Services and Solutions
7.7.4 SAS Institute Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.7.5 SAS Institute Recent Developments
7.8 RapidMiner
7.8.1 RapidMiner Profile
7.8.2 RapidMiner Main Business
7.8.3 RapidMiner Data Science Platform Services Products, Services and Solutions
7.8.4 RapidMiner Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.8.5 RapidMiner Recent Developments
7.9 Databricks
7.9.1 Databricks Profile
7.9.2 Databricks Main Business
7.9.3 Databricks Data Science Platform Services Products, Services and Solutions
7.9.4 Databricks Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.9.5 Databricks Recent Developments
7.10 H2O.ai
7.10.1 H2O.ai Profile
7.10.2 H2O.ai Main Business
7.10.3 H2O.ai Data Science Platform Services Products, Services and Solutions
7.10.4 H2O.ai Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.10.5 H2O.ai Recent Developments
7.11 Dataiku
7.11.1 Dataiku Profile
7.11.2 Dataiku Main Business
7.11.3 Dataiku Data Science Platform Services Products, Services and Solutions
7.11.4 Dataiku Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.11.5 Dataiku Recent Developments
7.12 KNIME
7.12.1 KNIME Profile
7.12.2 KNIME Main Business
7.12.3 KNIME Data Science Platform Services Products, Services and Solutions
7.12.4 KNIME Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.12.5 KNIME Recent Developments
7.13 Domino Data Lab
7.13.1 Domino Data Lab Profile
7.13.2 Domino Data Lab Main Business
7.13.3 Domino Data Lab Data Science Platform Services Products, Services and Solutions
7.13.4 Domino Data Lab Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.13.5 Domino Data Lab Recent Developments
7.14 Cloudera
7.14.1 Cloudera Profile
7.14.2 Cloudera Main Business
7.14.3 Cloudera Data Science Platform Services Products, Services and Solutions
7.14.4 Cloudera Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.14.5 Cloudera Recent Developments
7.15 DataRobot
7.15.1 DataRobot Profile
7.15.2 DataRobot Main Business
7.15.3 DataRobot Data Science Platform Services Products, Services and Solutions
7.15.4 DataRobot Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.15.5 DataRobot Recent Developments
8 Industry Chain Analysis
8.1 Data Science Platform Services Industrial Chain
8.2 Data Science Platform Services Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Science Platform Services Sales Model
8.5.2 Sales Channel
8.5.3 Data Science Platform Services Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
List of Tables
    Table 1. Data Science Platform Services Market Trends
    Table 2. Data Science Platform Services Market Drivers & Opportunity
    Table 3. Data Science Platform Services Market Challenges
    Table 4. Data Science Platform Services Market Restraints
    Table 5. Global Data Science Platform Services Revenue by Company (2019-2024) & (US$ Million)
    Table 6. Global Data Science Platform Services Revenue Market Share by Company (2019-2024)
    Table 7. Key Companies Data Science Platform Services Manufacturing Base Distribution and Headquarters
    Table 8. Key Companies Data Science Platform Services Product Type
    Table 9. Key Companies Time to Begin Mass Production of Data Science Platform Services
    Table 10. Global Data Science Platform Services Companies Market Concentration Ratio (CR5 and HHI)
    Table 11. Global Top Companies Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science Platform Services as of 2023)
    Table 12. Mergers & Acquisitions, Expansion Plans
    Table 13. Global Data Science Platform Services Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)
    Table 14. Global Data Science Platform Services Sales Value by Type (2019-2024) & (US$ Million)
    Table 15. Global Data Science Platform Services Sales Value by Type (2025-2030) & (US$ Million)
    Table 16. Global Data Science Platform Services Sales Market Share in Value by Type (2019-2024) & (%)
    Table 17. Global Data Science Platform Services Sales Market Share in Value by Type (2025-2030) & (%)
    Table 18. Global Data Science Platform Services Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)
    Table 19. Global Data Science Platform Services Sales Value by Application (2019-2024) & (US$ Million)
    Table 20. Global Data Science Platform Services Sales Value by Application (2025-2030) & (US$ Million)
    Table 21. Global Data Science Platform Services Sales Market Share in Value by Application (2019-2024) & (%)
    Table 22. Global Data Science Platform Services Sales Market Share in Value by Application (2025-2030) & (%)
    Table 23. Global Data Science Platform Services Sales Value by Region: 2019 VS 2023 VS 2030 (US$ Million)
    Table 24. Global Data Science Platform Services Sales Value by Region (2019-2024) & (US$ Million)
    Table 25. Global Data Science Platform Services Sales Value by Region (2025-2030) & (US$ Million)
    Table 26. Global Data Science Platform Services Sales Value by Region (2019-2024) & (%)
    Table 27. Global Data Science Platform Services Sales Value by Region (2025-2030) & (%)
    Table 28. Key Countries/Regions Data Science Platform Services Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030
    Table 29. Key Countries/Regions Data Science Platform Services Sales Value, (2019-2024) & (US$ Million)
    Table 30. Key Countries/Regions Data Science Platform Services Sales Value, (2025-2030) & (US$ Million)
    Table 31. IBM Corporation Basic Information List
    Table 32. IBM Corporation Description and Business Overview
    Table 33. IBM Corporation Data Science Platform Services Products, Services and Solutions
    Table 34. Revenue (US$ Million) in Data Science Platform Services Business of IBM Corporation (2019-2024)
    Table 35. IBM Corporation Recent Developments
    Table 36. Microsoft Corporation Basic Information List
    Table 37. Microsoft Corporation Description and Business Overview
    Table 38. Microsoft Corporation Data Science Platform Services Products, Services and Solutions
    Table 39. Revenue (US$ Million) in Data Science Platform Services Business of Microsoft Corporation (2019-2024)
    Table 40. Microsoft Corporation Recent Developments
    Table 41. Alphabet Basic Information List
    Table 42. Alphabet Description and Business Overview
    Table 43. Alphabet Data Science Platform Services Products, Services and Solutions
    Table 44. Revenue (US$ Million) in Data Science Platform Services Business of Alphabet (2019-2024)
    Table 45. Alphabet Recent Developments
    Table 46. Altair Engineering Basic Information List
    Table 47. Altair Engineering Description and Business Overview
    Table 48. Altair Engineering Data Science Platform Services Products, Services and Solutions
    Table 49. Revenue (US$ Million) in Data Science Platform Services Business of Altair Engineering (2019-2024)
    Table 50. Altair Engineering Recent Developments
    Table 51. Alteryx Basic Information List
    Table 52. Alteryx Description and Business Overview
    Table 53. Alteryx Data Science Platform Services Products, Services and Solutions
    Table 54. Revenue (US$ Million) in Data Science Platform Services Business of Alteryx (2019-2024)
    Table 55. Alteryx Recent Developments
    Table 56. MathWorks Basic Information List
    Table 57. MathWorks Description and Business Overview
    Table 58. MathWorks Data Science Platform Services Products, Services and Solutions
    Table 59. Revenue (US$ Million) in Data Science Platform Services Business of MathWorks (2019-2024)
    Table 60. MathWorks Recent Developments
    Table 61. SAS Institute Basic Information List
    Table 62. SAS Institute Description and Business Overview
    Table 63. SAS Institute Data Science Platform Services Products, Services and Solutions
    Table 64. Revenue (US$ Million) in Data Science Platform Services Business of SAS Institute (2019-2024)
    Table 65. SAS Institute Recent Developments
    Table 66. RapidMiner Basic Information List
    Table 67. RapidMiner Description and Business Overview
    Table 68. RapidMiner Data Science Platform Services Products, Services and Solutions
    Table 69. Revenue (US$ Million) in Data Science Platform Services Business of RapidMiner (2019-2024)
    Table 70. RapidMiner Recent Developments
    Table 71. Databricks Basic Information List
    Table 72. Databricks Description and Business Overview
    Table 73. Databricks Data Science Platform Services Products, Services and Solutions
    Table 74. Revenue (US$ Million) in Data Science Platform Services Business of Databricks (2019-2024)
    Table 75. Databricks Recent Developments
    Table 76. H2O.ai Basic Information List
    Table 77. H2O.ai Description and Business Overview
    Table 78. H2O.ai Data Science Platform Services Products, Services and Solutions
    Table 79. Revenue (US$ Million) in Data Science Platform Services Business of H2O.ai (2019-2024)
    Table 80. H2O.ai Recent Developments
    Table 81. Dataiku Basic Information List
    Table 82. Dataiku Description and Business Overview
    Table 83. Dataiku Data Science Platform Services Products, Services and Solutions
    Table 84. Revenue (US$ Million) in Data Science Platform Services Business of Dataiku (2019-2024)
    Table 85. Dataiku Recent Developments
    Table 86. KNIME Basic Information List
    Table 87. KNIME Description and Business Overview
    Table 88. KNIME Data Science Platform Services Products, Services and Solutions
    Table 89. Revenue (US$ Million) in Data Science Platform Services Business of KNIME (2019-2024)
    Table 90. KNIME Recent Developments
    Table 91. Domino Data Lab Basic Information List
    Table 92. Domino Data Lab Description and Business Overview
    Table 93. Domino Data Lab Data Science Platform Services Products, Services and Solutions
    Table 94. Revenue (US$ Million) in Data Science Platform Services Business of Domino Data Lab (2019-2024)
    Table 95. Domino Data Lab Recent Developments
    Table 96. Cloudera Basic Information List
    Table 97. Cloudera Description and Business Overview
    Table 98. Cloudera Data Science Platform Services Products, Services and Solutions
    Table 99. Revenue (US$ Million) in Data Science Platform Services Business of Cloudera (2019-2024)
    Table 100. Cloudera Recent Developments
    Table 101. DataRobot Basic Information List
    Table 102. DataRobot Description and Business Overview
    Table 103. DataRobot Data Science Platform Services Products, Services and Solutions
    Table 104. Revenue (US$ Million) in Data Science Platform Services Business of DataRobot (2019-2024)
    Table 105. DataRobot Recent Developments
    Table 106. Key Raw Materials Lists
    Table 107. Raw Materials Key Suppliers Lists
    Table 108. Data Science Platform Services Downstream Customers
    Table 109. Data Science Platform Services Distributors List
    Table 110. Research Programs/Design for This Report
    Table 111. Key Data Information from Secondary Sources
    Table 112. Key Data Information from Primary Sources
    Table 113. Business Unit and Senior & Team Lead Analysts
List of Figures
    Figure 1. Data Science Platform Services Product Picture
    Figure 2. Global Data Science Platform Services Sales Value, 2019 VS 2023 VS 2030 (US$ Million)
    Figure 3. Global Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 4. Data Science Platform Services Report Years Considered
    Figure 5. Global Data Science Platform Services Players Revenue Ranking (2023) & (US$ Million)
    Figure 6. The 5 and 10 Largest Manufacturers in the World: Market Share by Data Science Platform Services Revenue in 2023
    Figure 7. Data Science Platform Services Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
    Figure 8. Cloud Based Picture
    Figure 9. On-premises Picture
    Figure 10. Global Data Science Platform Services Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 11. Global Data Science Platform Services Sales Value Market Share by Type, 2023 & 2030
    Figure 12. Product Picture of Marketing
    Figure 13. Product Picture of Sales
    Figure 14. Product Picture of Logistics
    Figure 15. Product Picture of Finance and Accounting
    Figure 16. Product Picture of Customer Support
    Figure 17. Product Picture of Others
    Figure 18. Global Data Science Platform Services Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 19. Global Data Science Platform Services Sales Value Market Share by Application, 2023 & 2030
    Figure 20. North America Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 21. North America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
    Figure 22. Europe Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 23. Europe Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
    Figure 24. Asia Pacific Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 25. Asia Pacific Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
    Figure 26. South America Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 27. South America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
    Figure 28. Middle East & Africa Data Science Platform Services Sales Value (2019-2030) & (US$ Million)
    Figure 29. Middle East & Africa Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
    Figure 30. Key Countries/Regions Data Science Platform Services Sales Value (%), (2019-2030)
    Figure 31. United States Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 32. United States Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 33. United States Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 34. Europe Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 35. Europe Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 36. Europe Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 37. China Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 38. China Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 39. China Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 40. Japan Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 41. Japan Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 42. Japan Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 43. South Korea Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 44. South Korea Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 45. South Korea Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 46. Southeast Asia Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 47. Southeast Asia Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 48. Southeast Asia Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 49. India Data Science Platform Services Sales Value, (2019-2030) & (US$ Million)
    Figure 50. India Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
    Figure 51. India Data Science Platform Services Sales Value by Application (%), 2023 VS 2030
    Figure 52. Data Science Platform Services Industrial Chain
    Figure 53. Data Science Platform Services Manufacturing Cost Structure
    Figure 54. Channels of Distribution (Direct Sales, and Distribution)
    Figure 55. Bottom-up and Top-down Approaches for This Report
    Figure 56. Data Triangulation
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