Global Data Science and Machine Learning Platforms Market

Data Science and Machine Learning Platforms Comprehensive Study by Type (Open-Source Platforms, Cloud-Based Platforms, Integrated Development Environments (IDEs)), Application (Python-based Platforms, Machine Learning Libraries and Frameworks, Cloud-Based Platforms), Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), Service (Managed Services, Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)), Deployment (Cloud, On-premises), Functions (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Other), Application (BFSI, Education and Government, Healthcare and Life Sciences, Logistics and Transportation, Manufacturing, Oil and Gas, Retail, Telecommunications and Communications, Other) Players and Region - Global Market Outlook to 2028

Data Science and Machine Learning Platforms Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Data Science and Machine Learning Platforms
Data Science and Machine Learning Platforms enables businesses to develop and deploy their own data science and machine learning solutions. These platform provides real-time data streaming and more advanced data pipeline to redefine big data into different categories such as actionable and fast data. These platforms are widely being used by data scientists, business analysts, data engineers, and developers in different fields of business to prepare data, build models, and operationalize analytics. In the coming years, adoption of data science and machine learning platforms in various industry verticals is expected to rise exponentially. In addition, the technological advancement and proliferation in data generation will boost the market growth in upcoming years.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The data science platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Data Science and Machine Learning Platforms market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Anaconda (United States), Alteryx (United States), Databricks(United States), Dataiku (United States), DataRobot (United States), Datawatch (United States), Domino Data Lab (United States), Google (United States), H2O.ai (United States) IBM (United States), KNIME (Switzerland), MathWorks (United States) and Microsoft (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are RapidMiner (United States), SAP (Germany), SAS (United States) and TIBCO Software (United States).

Segmentation Overview
AMA Research has segmented the market of Global Data Science and Machine Learning Platforms market by Type (Open-Source Platforms, Cloud-Based Platforms and Integrated Development Environments (IDEs)), Application (Python-based Platforms, Machine Learning Libraries and Frameworks and Cloud-Based Platforms) and Region.



On the basis of geography, the market of Data Science and Machine Learning Platforms has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Organization Size, the sub-segment i.e. Small and Medium-sized Enterprises (SMEs) will boost the Data Science and Machine Learning Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Service, the sub-segment i.e. Managed Services will boost the Data Science and Machine Learning Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud will boost the Data Science and Machine Learning Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Functions, the sub-segment i.e. Marketing will boost the Data Science and Machine Learning Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Application, the sub-segment i.e. BFSI will boost the Data Science and Machine Learning Platforms market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Adoption Of Big Data Technology

Market Growth Drivers:
Enterprises Focusing On Ease Of Use Methods To Drive Business, Growing Need To Extract In-Depth Insights From Voluminous Data To Gain Competitive Advantage and Increasing Adoption Of Cloud Deployments

Challenges:
Lack of Adequately Skilled Workforce

Restraints:
Data Privacy, Security, And Reliability Concerns

Opportunities:
Higher Inclination Of Enterprises Toward Data-Intensive Business Strategies, Rise In Adoption Of The Internet of Things (IoT) Technology and Proliferation in Data Generation

Market Leaders and their expansionary development strategies
In November 2021,IBM update IBM SPSS modelar 18.2.2 new update with versatile data mining workbench that allow easily and easily develop update model without programming.
In April 2023 — Anaconda Inc., provider of the world’s most popular data science platform, today unveiled its first-ever Data Science Expo taking place in Austin, Texas on April 22, 2023. This event is the first in a series to engage high school and college-level students in building foundational data science and Python skills, regardless of prior experience.


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Data Science and Machine Learning Platforms Providers, Cloud Service Providers, Business Solution Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End User Industry

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Open-Source Platforms
  • Cloud-Based Platforms
  • Integrated Development Environments (IDEs)
By Application
  • Python-based Platforms
  • Machine Learning Libraries and Frameworks
  • Cloud-Based Platforms
By Organization Size
  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Service
  • Managed Services
  • Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)

By Deployment
  • Cloud
  • On-premises

By Functions
  • Marketing
  • Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Other

By Application
  • BFSI
  • Education and Government
  • Healthcare and Life Sciences
  • Logistics and Transportation
  • Manufacturing
  • Oil and Gas
  • Retail
  • Telecommunications and Communications
  • Other

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Enterprises Focusing On Ease Of Use Methods To Drive Business
      • 3.2.2. Growing Need To Extract In-Depth Insights From Voluminous Data To Gain Competitive Advantage
      • 3.2.3. Increasing Adoption Of Cloud Deployments
    • 3.3. Market Challenges
      • 3.3.1. Lack of Adequately Skilled Workforce
    • 3.4. Market Trends
      • 3.4.1. Adoption Of Big Data Technology
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Data Science and Machine Learning Platforms, by Type, Application, Organization Size, Service, Deployment, Functions, Application and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Data Science and Machine Learning Platforms (Value)
      • 5.2.1. Global Data Science and Machine Learning Platforms by: Type (Value)
        • 5.2.1.1. Open-Source Platforms
        • 5.2.1.2. Cloud-Based Platforms
        • 5.2.1.3. Integrated Development Environments (IDEs)
      • 5.2.2. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.2.1. Python-based Platforms
        • 5.2.2.2. Machine Learning Libraries and Frameworks
        • 5.2.2.3. Cloud-Based Platforms
      • 5.2.3. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.3.1. BFSI
        • 5.2.3.2. Education and Government
        • 5.2.3.3. Healthcare and Life Sciences
        • 5.2.3.4. Logistics and Transportation
        • 5.2.3.5. Manufacturing
        • 5.2.3.6. Oil and Gas
        • 5.2.3.7. Retail
        • 5.2.3.8. Telecommunications and Communications
        • 5.2.3.9. Other
      • 5.2.4. Global Data Science and Machine Learning Platforms by: Organization Size (Value)
        • 5.2.4.1. Small and Medium-sized Enterprises (SMEs)
        • 5.2.4.2. Large Enterprises
      • 5.2.5. Global Data Science and Machine Learning Platforms by: Service (Value)
        • 5.2.5.1. Managed Services
        • 5.2.5.2. Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)
      • 5.2.6. Global Data Science and Machine Learning Platforms by: Deployment (Value)
        • 5.2.6.1. Cloud
        • 5.2.6.2. On-premises
      • 5.2.7. Global Data Science and Machine Learning Platforms by: Functions (Value)
        • 5.2.7.1. Marketing
        • 5.2.7.2. Sales
        • 5.2.7.3. Logistics
        • 5.2.7.4. Finance and Accounting
        • 5.2.7.5. Customer Support
        • 5.2.7.6. Other
      • 5.2.8. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.8.1. Python-based Platforms
        • 5.2.8.2. Machine Learning Libraries and Frameworks
        • 5.2.8.3. Cloud-Based Platforms
      • 5.2.9. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 5.2.9.1. BFSI
        • 5.2.9.2. Education and Government
        • 5.2.9.3. Healthcare and Life Sciences
        • 5.2.9.4. Logistics and Transportation
        • 5.2.9.5. Manufacturing
        • 5.2.9.6. Oil and Gas
        • 5.2.9.7. Retail
        • 5.2.9.8. Telecommunications and Communications
        • 5.2.9.9. Other
      • 5.2.10. Global Data Science and Machine Learning Platforms Region
        • 5.2.10.1. South America
          • 5.2.10.1.1. Brazil
          • 5.2.10.1.2. Argentina
          • 5.2.10.1.3. Rest of South America
        • 5.2.10.2. Asia Pacific
          • 5.2.10.2.1. China
          • 5.2.10.2.2. Japan
          • 5.2.10.2.3. India
          • 5.2.10.2.4. South Korea
          • 5.2.10.2.5. Taiwan
          • 5.2.10.2.6. Australia
          • 5.2.10.2.7. Rest of Asia-Pacific
        • 5.2.10.3. Europe
          • 5.2.10.3.1. Germany
          • 5.2.10.3.2. France
          • 5.2.10.3.3. Italy
          • 5.2.10.3.4. United Kingdom
          • 5.2.10.3.5. Netherlands
          • 5.2.10.3.6. Rest of Europe
        • 5.2.10.4. MEA
          • 5.2.10.4.1. Middle East
          • 5.2.10.4.2. Africa
        • 5.2.10.5. North America
          • 5.2.10.5.1. United States
          • 5.2.10.5.2. Canada
          • 5.2.10.5.3. Mexico
  • 6. Data Science and Machine Learning Platforms: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Anaconda (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Alteryx (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Databricks(United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Dataiku (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. DataRobot (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Datawatch (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Domino Data Lab (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Google (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. H2O.ai (United States) IBM (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. KNIME (Switzerland)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. MathWorks (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Microsoft (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Data Science and Machine Learning Platforms Sale, by Type, Application, Organization Size, Service, Deployment, Functions, Application and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Data Science and Machine Learning Platforms (Value)
      • 7.2.1. Global Data Science and Machine Learning Platforms by: Type (Value)
        • 7.2.1.1. Open-Source Platforms
        • 7.2.1.2. Cloud-Based Platforms
        • 7.2.1.3. Integrated Development Environments (IDEs)
      • 7.2.2. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.2.1. Python-based Platforms
        • 7.2.2.2. Machine Learning Libraries and Frameworks
        • 7.2.2.3. Cloud-Based Platforms
      • 7.2.3. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.3.1. BFSI
        • 7.2.3.2. Education and Government
        • 7.2.3.3. Healthcare and Life Sciences
        • 7.2.3.4. Logistics and Transportation
        • 7.2.3.5. Manufacturing
        • 7.2.3.6. Oil and Gas
        • 7.2.3.7. Retail
        • 7.2.3.8. Telecommunications and Communications
        • 7.2.3.9. Other
      • 7.2.4. Global Data Science and Machine Learning Platforms by: Organization Size (Value)
        • 7.2.4.1. Small and Medium-sized Enterprises (SMEs)
        • 7.2.4.2. Large Enterprises
      • 7.2.5. Global Data Science and Machine Learning Platforms by: Service (Value)
        • 7.2.5.1. Managed Services
        • 7.2.5.2. Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance)
      • 7.2.6. Global Data Science and Machine Learning Platforms by: Deployment (Value)
        • 7.2.6.1. Cloud
        • 7.2.6.2. On-premises
      • 7.2.7. Global Data Science and Machine Learning Platforms by: Functions (Value)
        • 7.2.7.1. Marketing
        • 7.2.7.2. Sales
        • 7.2.7.3. Logistics
        • 7.2.7.4. Finance and Accounting
        • 7.2.7.5. Customer Support
        • 7.2.7.6. Other
      • 7.2.8. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.8.1. Python-based Platforms
        • 7.2.8.2. Machine Learning Libraries and Frameworks
        • 7.2.8.3. Cloud-Based Platforms
      • 7.2.9. Global Data Science and Machine Learning Platforms by: Application (Value)
        • 7.2.9.1. BFSI
        • 7.2.9.2. Education and Government
        • 7.2.9.3. Healthcare and Life Sciences
        • 7.2.9.4. Logistics and Transportation
        • 7.2.9.5. Manufacturing
        • 7.2.9.6. Oil and Gas
        • 7.2.9.7. Retail
        • 7.2.9.8. Telecommunications and Communications
        • 7.2.9.9. Other
      • 7.2.10. Global Data Science and Machine Learning Platforms Region
        • 7.2.10.1. South America
          • 7.2.10.1.1. Brazil
          • 7.2.10.1.2. Argentina
          • 7.2.10.1.3. Rest of South America
        • 7.2.10.2. Asia Pacific
          • 7.2.10.2.1. China
          • 7.2.10.2.2. Japan
          • 7.2.10.2.3. India
          • 7.2.10.2.4. South Korea
          • 7.2.10.2.5. Taiwan
          • 7.2.10.2.6. Australia
          • 7.2.10.2.7. Rest of Asia-Pacific
        • 7.2.10.3. Europe
          • 7.2.10.3.1. Germany
          • 7.2.10.3.2. France
          • 7.2.10.3.3. Italy
          • 7.2.10.3.4. United Kingdom
          • 7.2.10.3.5. Netherlands
          • 7.2.10.3.6. Rest of Europe
        • 7.2.10.4. MEA
          • 7.2.10.4.1. Middle East
          • 7.2.10.4.2. Africa
        • 7.2.10.5. North America
          • 7.2.10.5.1. United States
          • 7.2.10.5.2. Canada
          • 7.2.10.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Data Science and Machine Learning Platforms: by Type(USD Million)
  • Table 2. Data Science and Machine Learning Platforms Open-Source Platforms , by Region USD Million (2017-2022)
  • Table 3. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2017-2022)
  • Table 4. Data Science and Machine Learning Platforms Integrated Development Environments (IDEs) , by Region USD Million (2017-2022)
  • Table 5. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 6. Data Science and Machine Learning Platforms Python-based Platforms , by Region USD Million (2017-2022)
  • Table 7. Data Science and Machine Learning Platforms Machine Learning Libraries and Frameworks , by Region USD Million (2017-2022)
  • Table 8. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2017-2022)
  • Table 9. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 10. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2017-2022)
  • Table 11. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2017-2022)
  • Table 12. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2017-2022)
  • Table 13. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2017-2022)
  • Table 14. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2017-2022)
  • Table 15. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2017-2022)
  • Table 16. Data Science and Machine Learning Platforms Retail , by Region USD Million (2017-2022)
  • Table 17. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2017-2022)
  • Table 18. Data Science and Machine Learning Platforms Other , by Region USD Million (2017-2022)
  • Table 19. Data Science and Machine Learning Platforms: by Organization Size(USD Million)
  • Table 20. Data Science and Machine Learning Platforms Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2017-2022)
  • Table 21. Data Science and Machine Learning Platforms Large Enterprises , by Region USD Million (2017-2022)
  • Table 22. Data Science and Machine Learning Platforms: by Service(USD Million)
  • Table 23. Data Science and Machine Learning Platforms Managed Services , by Region USD Million (2017-2022)
  • Table 24. Data Science and Machine Learning Platforms Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance) , by Region USD Million (2017-2022)
  • Table 25. Data Science and Machine Learning Platforms: by Deployment(USD Million)
  • Table 26. Data Science and Machine Learning Platforms Cloud , by Region USD Million (2017-2022)
  • Table 27. Data Science and Machine Learning Platforms On-premises , by Region USD Million (2017-2022)
  • Table 28. Data Science and Machine Learning Platforms: by Functions(USD Million)
  • Table 29. Data Science and Machine Learning Platforms Marketing , by Region USD Million (2017-2022)
  • Table 30. Data Science and Machine Learning Platforms Sales , by Region USD Million (2017-2022)
  • Table 31. Data Science and Machine Learning Platforms Logistics , by Region USD Million (2017-2022)
  • Table 32. Data Science and Machine Learning Platforms Finance and Accounting , by Region USD Million (2017-2022)
  • Table 33. Data Science and Machine Learning Platforms Customer Support , by Region USD Million (2017-2022)
  • Table 34. Data Science and Machine Learning Platforms Other , by Region USD Million (2017-2022)
  • Table 35. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 36. Data Science and Machine Learning Platforms Python-based Platforms , by Region USD Million (2017-2022)
  • Table 37. Data Science and Machine Learning Platforms Machine Learning Libraries and Frameworks , by Region USD Million (2017-2022)
  • Table 38. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2017-2022)
  • Table 39. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 40. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2017-2022)
  • Table 41. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2017-2022)
  • Table 42. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2017-2022)
  • Table 43. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2017-2022)
  • Table 44. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2017-2022)
  • Table 45. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2017-2022)
  • Table 46. Data Science and Machine Learning Platforms Retail , by Region USD Million (2017-2022)
  • Table 47. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2017-2022)
  • Table 48. Data Science and Machine Learning Platforms Other , by Region USD Million (2017-2022)
  • Table 49. South America Data Science and Machine Learning Platforms, by Country USD Million (2017-2022)
  • Table 50. South America Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 51. South America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 52. South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 53. South America Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 54. South America Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 55. South America Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 56. South America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 57. Brazil Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 58. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 59. Brazil Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 60. Brazil Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 61. Brazil Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 62. Brazil Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 63. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 64. Argentina Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 65. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 66. Argentina Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 67. Argentina Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 68. Argentina Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 69. Argentina Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 70. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 71. Rest of South America Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 72. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 73. Rest of South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 74. Rest of South America Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 75. Rest of South America Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 76. Rest of South America Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 77. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 78. Asia Pacific Data Science and Machine Learning Platforms, by Country USD Million (2017-2022)
  • Table 79. Asia Pacific Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 80. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 81. Asia Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 82. Asia Pacific Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 83. Asia Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 84. Asia Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 85. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 86. China Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 87. China Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 88. China Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 89. China Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 90. China Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 91. China Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 92. China Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 93. Japan Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 94. Japan Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 95. Japan Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 96. Japan Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 97. Japan Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 98. Japan Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 99. Japan Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 100. India Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 101. India Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 102. India Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 103. India Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 104. India Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 105. India Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 106. India Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 107. South Korea Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 108. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 109. South Korea Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 110. South Korea Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 111. South Korea Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 112. South Korea Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 113. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 114. Taiwan Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 115. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 116. Taiwan Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 117. Taiwan Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 118. Taiwan Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 119. Taiwan Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 120. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 121. Australia Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 122. Australia Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 123. Australia Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 124. Australia Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 125. Australia Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 126. Australia Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 127. Australia Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 128. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 129. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 130. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 131. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 132. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 133. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 134. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 135. Europe Data Science and Machine Learning Platforms, by Country USD Million (2017-2022)
  • Table 136. Europe Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 137. Europe Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 138. Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 139. Europe Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 140. Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 141. Europe Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 142. Europe Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 143. Germany Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 144. Germany Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 145. Germany Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 146. Germany Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 147. Germany Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 148. Germany Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 149. Germany Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 150. France Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 151. France Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 152. France Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 153. France Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 154. France Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 155. France Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 156. France Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 157. Italy Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 158. Italy Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 159. Italy Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 160. Italy Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 161. Italy Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 162. Italy Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 163. Italy Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 164. United Kingdom Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 165. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 166. United Kingdom Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 167. United Kingdom Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 168. United Kingdom Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 169. United Kingdom Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 170. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 171. Netherlands Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 172. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 173. Netherlands Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 174. Netherlands Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 175. Netherlands Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 176. Netherlands Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 177. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 178. Rest of Europe Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 179. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 180. Rest of Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 181. Rest of Europe Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 182. Rest of Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 183. Rest of Europe Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 184. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 185. MEA Data Science and Machine Learning Platforms, by Country USD Million (2017-2022)
  • Table 186. MEA Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 187. MEA Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 188. MEA Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 189. MEA Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 190. MEA Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 191. MEA Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 192. MEA Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 193. Middle East Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 194. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 195. Middle East Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 196. Middle East Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 197. Middle East Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 198. Middle East Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 199. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 200. Africa Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 201. Africa Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 202. Africa Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 203. Africa Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 204. Africa Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 205. Africa Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 206. Africa Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 207. North America Data Science and Machine Learning Platforms, by Country USD Million (2017-2022)
  • Table 208. North America Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 209. North America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 210. North America Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 211. North America Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 212. North America Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 213. North America Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 214. North America Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 215. United States Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 216. United States Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 217. United States Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 218. United States Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 219. United States Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 220. United States Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 221. United States Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 222. Canada Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 223. Canada Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 224. Canada Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 225. Canada Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 226. Canada Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 227. Canada Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 228. Canada Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 229. Mexico Data Science and Machine Learning Platforms, by Type USD Million (2017-2022)
  • Table 230. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 231. Mexico Data Science and Machine Learning Platforms, by Organization Size USD Million (2017-2022)
  • Table 232. Mexico Data Science and Machine Learning Platforms, by Service USD Million (2017-2022)
  • Table 233. Mexico Data Science and Machine Learning Platforms, by Deployment USD Million (2017-2022)
  • Table 234. Mexico Data Science and Machine Learning Platforms, by Functions USD Million (2017-2022)
  • Table 235. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2017-2022)
  • Table 236. Company Basic Information, Sales Area and Its Competitors
  • Table 237. Company Basic Information, Sales Area and Its Competitors
  • Table 238. Company Basic Information, Sales Area and Its Competitors
  • Table 239. Company Basic Information, Sales Area and Its Competitors
  • Table 240. Company Basic Information, Sales Area and Its Competitors
  • Table 241. Company Basic Information, Sales Area and Its Competitors
  • Table 242. Company Basic Information, Sales Area and Its Competitors
  • Table 243. Company Basic Information, Sales Area and Its Competitors
  • Table 244. Company Basic Information, Sales Area and Its Competitors
  • Table 245. Company Basic Information, Sales Area and Its Competitors
  • Table 246. Company Basic Information, Sales Area and Its Competitors
  • Table 247. Company Basic Information, Sales Area and Its Competitors
  • Table 248. Data Science and Machine Learning Platforms: by Type(USD Million)
  • Table 249. Data Science and Machine Learning Platforms Open-Source Platforms , by Region USD Million (2023-2028)
  • Table 250. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2023-2028)
  • Table 251. Data Science and Machine Learning Platforms Integrated Development Environments (IDEs) , by Region USD Million (2023-2028)
  • Table 252. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 253. Data Science and Machine Learning Platforms Python-based Platforms , by Region USD Million (2023-2028)
  • Table 254. Data Science and Machine Learning Platforms Machine Learning Libraries and Frameworks , by Region USD Million (2023-2028)
  • Table 255. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2023-2028)
  • Table 256. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 257. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2023-2028)
  • Table 258. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2023-2028)
  • Table 259. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2023-2028)
  • Table 260. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2023-2028)
  • Table 261. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2023-2028)
  • Table 262. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2023-2028)
  • Table 263. Data Science and Machine Learning Platforms Retail , by Region USD Million (2023-2028)
  • Table 264. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2023-2028)
  • Table 265. Data Science and Machine Learning Platforms Other , by Region USD Million (2023-2028)
  • Table 266. Data Science and Machine Learning Platforms: by Organization Size(USD Million)
  • Table 267. Data Science and Machine Learning Platforms Small and Medium-sized Enterprises (SMEs) , by Region USD Million (2023-2028)
  • Table 268. Data Science and Machine Learning Platforms Large Enterprises , by Region USD Million (2023-2028)
  • Table 269. Data Science and Machine Learning Platforms: by Service(USD Million)
  • Table 270. Data Science and Machine Learning Platforms Managed Services , by Region USD Million (2023-2028)
  • Table 271. Data Science and Machine Learning Platforms Professional Services (Training and Consulting, Integration and Deployment, Support and Maintenance) , by Region USD Million (2023-2028)
  • Table 272. Data Science and Machine Learning Platforms: by Deployment(USD Million)
  • Table 273. Data Science and Machine Learning Platforms Cloud , by Region USD Million (2023-2028)
  • Table 274. Data Science and Machine Learning Platforms On-premises , by Region USD Million (2023-2028)
  • Table 275. Data Science and Machine Learning Platforms: by Functions(USD Million)
  • Table 276. Data Science and Machine Learning Platforms Marketing , by Region USD Million (2023-2028)
  • Table 277. Data Science and Machine Learning Platforms Sales , by Region USD Million (2023-2028)
  • Table 278. Data Science and Machine Learning Platforms Logistics , by Region USD Million (2023-2028)
  • Table 279. Data Science and Machine Learning Platforms Finance and Accounting , by Region USD Million (2023-2028)
  • Table 280. Data Science and Machine Learning Platforms Customer Support , by Region USD Million (2023-2028)
  • Table 281. Data Science and Machine Learning Platforms Other , by Region USD Million (2023-2028)
  • Table 282. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 283. Data Science and Machine Learning Platforms Python-based Platforms , by Region USD Million (2023-2028)
  • Table 284. Data Science and Machine Learning Platforms Machine Learning Libraries and Frameworks , by Region USD Million (2023-2028)
  • Table 285. Data Science and Machine Learning Platforms Cloud-Based Platforms , by Region USD Million (2023-2028)
  • Table 286. Data Science and Machine Learning Platforms: by Application(USD Million)
  • Table 287. Data Science and Machine Learning Platforms BFSI , by Region USD Million (2023-2028)
  • Table 288. Data Science and Machine Learning Platforms Education and Government , by Region USD Million (2023-2028)
  • Table 289. Data Science and Machine Learning Platforms Healthcare and Life Sciences , by Region USD Million (2023-2028)
  • Table 290. Data Science and Machine Learning Platforms Logistics and Transportation , by Region USD Million (2023-2028)
  • Table 291. Data Science and Machine Learning Platforms Manufacturing , by Region USD Million (2023-2028)
  • Table 292. Data Science and Machine Learning Platforms Oil and Gas , by Region USD Million (2023-2028)
  • Table 293. Data Science and Machine Learning Platforms Retail , by Region USD Million (2023-2028)
  • Table 294. Data Science and Machine Learning Platforms Telecommunications and Communications , by Region USD Million (2023-2028)
  • Table 295. Data Science and Machine Learning Platforms Other , by Region USD Million (2023-2028)
  • Table 296. South America Data Science and Machine Learning Platforms, by Country USD Million (2023-2028)
  • Table 297. South America Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 298. South America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 299. South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 300. South America Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 301. South America Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 302. South America Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 303. South America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 304. Brazil Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 305. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 306. Brazil Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 307. Brazil Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 308. Brazil Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 309. Brazil Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 310. Brazil Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 311. Argentina Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 312. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 313. Argentina Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 314. Argentina Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 315. Argentina Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 316. Argentina Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 317. Argentina Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 318. Rest of South America Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 319. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 320. Rest of South America Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 321. Rest of South America Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 322. Rest of South America Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 323. Rest of South America Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 324. Rest of South America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 325. Asia Pacific Data Science and Machine Learning Platforms, by Country USD Million (2023-2028)
  • Table 326. Asia Pacific Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 327. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 328. Asia Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 329. Asia Pacific Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 330. Asia Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 331. Asia Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 332. Asia Pacific Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 333. China Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 334. China Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 335. China Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 336. China Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 337. China Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 338. China Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 339. China Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 340. Japan Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 341. Japan Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 342. Japan Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 343. Japan Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 344. Japan Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 345. Japan Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 346. Japan Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 347. India Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 348. India Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 349. India Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 350. India Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 351. India Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 352. India Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 353. India Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 354. South Korea Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 355. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 356. South Korea Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 357. South Korea Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 358. South Korea Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 359. South Korea Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 360. South Korea Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 361. Taiwan Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 362. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 363. Taiwan Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 364. Taiwan Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 365. Taiwan Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 366. Taiwan Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 367. Taiwan Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 368. Australia Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 369. Australia Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 370. Australia Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 371. Australia Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 372. Australia Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 373. Australia Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 374. Australia Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 375. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 376. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 377. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 378. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 379. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 380. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 381. Rest of Asia-Pacific Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 382. Europe Data Science and Machine Learning Platforms, by Country USD Million (2023-2028)
  • Table 383. Europe Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 384. Europe Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 385. Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 386. Europe Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 387. Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 388. Europe Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 389. Europe Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 390. Germany Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 391. Germany Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 392. Germany Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 393. Germany Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 394. Germany Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 395. Germany Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 396. Germany Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 397. France Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 398. France Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 399. France Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 400. France Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 401. France Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 402. France Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 403. France Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 404. Italy Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 405. Italy Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 406. Italy Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 407. Italy Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 408. Italy Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 409. Italy Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 410. Italy Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 411. United Kingdom Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 412. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 413. United Kingdom Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 414. United Kingdom Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 415. United Kingdom Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 416. United Kingdom Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 417. United Kingdom Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 418. Netherlands Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 419. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 420. Netherlands Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 421. Netherlands Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 422. Netherlands Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 423. Netherlands Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 424. Netherlands Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 425. Rest of Europe Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 426. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 427. Rest of Europe Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 428. Rest of Europe Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 429. Rest of Europe Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 430. Rest of Europe Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 431. Rest of Europe Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 432. MEA Data Science and Machine Learning Platforms, by Country USD Million (2023-2028)
  • Table 433. MEA Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 434. MEA Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 435. MEA Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 436. MEA Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 437. MEA Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 438. MEA Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 439. MEA Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 440. Middle East Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 441. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 442. Middle East Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 443. Middle East Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 444. Middle East Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 445. Middle East Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 446. Middle East Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 447. Africa Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 448. Africa Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 449. Africa Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 450. Africa Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 451. Africa Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 452. Africa Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 453. Africa Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 454. North America Data Science and Machine Learning Platforms, by Country USD Million (2023-2028)
  • Table 455. North America Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 456. North America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 457. North America Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 458. North America Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 459. North America Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 460. North America Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 461. North America Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 462. United States Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 463. United States Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 464. United States Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 465. United States Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 466. United States Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 467. United States Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 468. United States Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 469. Canada Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 470. Canada Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 471. Canada Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 472. Canada Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 473. Canada Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 474. Canada Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 475. Canada Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 476. Mexico Data Science and Machine Learning Platforms, by Type USD Million (2023-2028)
  • Table 477. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 478. Mexico Data Science and Machine Learning Platforms, by Organization Size USD Million (2023-2028)
  • Table 479. Mexico Data Science and Machine Learning Platforms, by Service USD Million (2023-2028)
  • Table 480. Mexico Data Science and Machine Learning Platforms, by Deployment USD Million (2023-2028)
  • Table 481. Mexico Data Science and Machine Learning Platforms, by Functions USD Million (2023-2028)
  • Table 482. Mexico Data Science and Machine Learning Platforms, by Application USD Million (2023-2028)
  • Table 483. Research Programs/Design for This Report
  • Table 484. Key Data Information from Secondary Sources
  • Table 485. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Data Science and Machine Learning Platforms: by Type USD Million (2017-2022)
  • Figure 5. Global Data Science and Machine Learning Platforms: by Application USD Million (2017-2022)
  • Figure 6. Global Data Science and Machine Learning Platforms: by Application USD Million (2017-2022)
  • Figure 7. Global Data Science and Machine Learning Platforms: by Organization Size USD Million (2017-2022)
  • Figure 8. Global Data Science and Machine Learning Platforms: by Service USD Million (2017-2022)
  • Figure 9. Global Data Science and Machine Learning Platforms: by Deployment USD Million (2017-2022)
  • Figure 10. Global Data Science and Machine Learning Platforms: by Functions USD Million (2017-2022)
  • Figure 11. Global Data Science and Machine Learning Platforms: by Application USD Million (2017-2022)
  • Figure 12. Global Data Science and Machine Learning Platforms: by Application USD Million (2017-2022)
  • Figure 13. South America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 14. Asia Pacific Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 15. Europe Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 16. MEA Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 17. North America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 18. Global Data Science and Machine Learning Platforms share by Players 2022 (%)
  • Figure 19. Global Data Science and Machine Learning Platforms share by Players (Top 3) 2022(%)
  • Figure 20. Global Data Science and Machine Learning Platforms share by Players (Top 5) 2022(%)
  • Figure 21. BCG Matrix for key Companies
  • Figure 22. Anaconda (United States) Revenue, Net Income and Gross profit
  • Figure 23. Anaconda (United States) Revenue: by Geography 2022
  • Figure 24. Alteryx (United States) Revenue, Net Income and Gross profit
  • Figure 25. Alteryx (United States) Revenue: by Geography 2022
  • Figure 26. Databricks(United States) Revenue, Net Income and Gross profit
  • Figure 27. Databricks(United States) Revenue: by Geography 2022
  • Figure 28. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 29. Dataiku (United States) Revenue: by Geography 2022
  • Figure 30. DataRobot (United States) Revenue, Net Income and Gross profit
  • Figure 31. DataRobot (United States) Revenue: by Geography 2022
  • Figure 32. Datawatch (United States) Revenue, Net Income and Gross profit
  • Figure 33. Datawatch (United States) Revenue: by Geography 2022
  • Figure 34. Domino Data Lab (United States) Revenue, Net Income and Gross profit
  • Figure 35. Domino Data Lab (United States) Revenue: by Geography 2022
  • Figure 36. Google (United States) Revenue, Net Income and Gross profit
  • Figure 37. Google (United States) Revenue: by Geography 2022
  • Figure 38. H2O.ai (United States) IBM (United States) Revenue, Net Income and Gross profit
  • Figure 39. H2O.ai (United States) IBM (United States) Revenue: by Geography 2022
  • Figure 40. KNIME (Switzerland) Revenue, Net Income and Gross profit
  • Figure 41. KNIME (Switzerland) Revenue: by Geography 2022
  • Figure 42. MathWorks (United States) Revenue, Net Income and Gross profit
  • Figure 43. MathWorks (United States) Revenue: by Geography 2022
  • Figure 44. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 45. Microsoft (United States) Revenue: by Geography 2022
  • Figure 46. Global Data Science and Machine Learning Platforms: by Type USD Million (2023-2028)
  • Figure 47. Global Data Science and Machine Learning Platforms: by Application USD Million (2023-2028)
  • Figure 48. Global Data Science and Machine Learning Platforms: by Application USD Million (2023-2028)
  • Figure 49. Global Data Science and Machine Learning Platforms: by Organization Size USD Million (2023-2028)
  • Figure 50. Global Data Science and Machine Learning Platforms: by Service USD Million (2023-2028)
  • Figure 51. Global Data Science and Machine Learning Platforms: by Deployment USD Million (2023-2028)
  • Figure 52. Global Data Science and Machine Learning Platforms: by Functions USD Million (2023-2028)
  • Figure 53. Global Data Science and Machine Learning Platforms: by Application USD Million (2023-2028)
  • Figure 54. Global Data Science and Machine Learning Platforms: by Application USD Million (2023-2028)
  • Figure 55. South America Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 56. Asia Pacific Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 57. Europe Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 58. MEA Data Science and Machine Learning Platforms Share (%), by Country
  • Figure 59. North America Data Science and Machine Learning Platforms Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Anaconda (United States)
  • Alteryx (United States)
  • Databricks(United States)
  • Dataiku (United States)
  • DataRobot (United States)
  • Datawatch (United States)
  • Domino Data Lab (United States)
  • Google (United States)
  • H2O.ai (United States) IBM (United States)
  • KNIME (Switzerland)
  • MathWorks (United States)
  • Microsoft (United States)
Additional players considered in the study are as follows:
RapidMiner (United States) , SAP (Germany) , SAS (United States) , TIBCO Software (United States)
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Key Highlights of Report


Dec 2023 220 Pages 68 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Data Science and Machine Learning Platforms Market Quantitative research analysis
Global Data Science and Machine Learning Platforms Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Anaconda (United States), Alteryx (United States), Databricks(United States), Dataiku (United States), DataRobot (United States), Datawatch (United States), Domino Data Lab (United States), Google (United States), H2O.ai (United States) IBM (United States), KNIME (Switzerland), MathWorks (United States) and Microsoft (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Adoption Of Big Data Technology" is seen as one of major influencing trends for Data Science and Machine Learning Platforms Market during projected period 2022-2028.
The Data Science and Machine Learning Platforms market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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