Global Science Ml Platforms Market

Science Ml Platforms Comprehensive Study by Type (Supervised, Semi-Supervised, Un-Supervised), Application (Marketing, Sales, Logistics, Other), End User (IT & Telecommunication, Healthcare, BFSI, Manufacturing, Retail, Others), Enterprise Size (Large Enterprise, Small and Medium Enterprise), Deployment (On-premise, Cloud-Based) Players and Region - Global Market Outlook to 2028

Science Ml 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
Global Science Ml Platforms Market Overview:
Businesses can design and deploy their own data science and machine learning solutions using Data Science and Machine Learning Platforms. These platforms offer real-time data streaming and a more complex data pipeline, allowing massive data to be categorised into actionable and rapid data. To prepare data, build models, and operationalize analytics, these platforms are widely utilised by data scientists, business analysts, data engineers, and developers in a variety of industries. Data science and machine learning platforms are projected to become increasingly popular in numerous industries in the future years. In addition, market growth will be boosted in the coming years by technology advancements and the increase of data generation.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Emergence of Augmented Intelligence and Rapid Development of Human-In-The-Loop Artificial Intelligence

Market Growth Drivers:
Growing Adoption of Cloud Deployments

Challenges:
Rising Concerns of Cyber Crime

Restraints:
Lack of Skilled Workforce

Opportunities:
Increased Adoption of the Internet of Things (IoT) Technology and Rising Awareness of Data Generation

Competitive Landscape:
The demand for Science Ml is increasing. Businesses in this sector face global competition from market leaders who control a large share of the market. Companies are differentiating their products from competition by employing environmentally friendly materials and manufacturing techniques. The Leading Players are engaging in strategic global expansion to maintain their Market Position. Players are expected to focus on the creation of new compounds, which would likely drive the worldwide market forward over the forecast period.
Some of the key players profiled in the report are IBM (United States), Microsoft Corporation (United States), TIBCO Software (United States), Samsung SDS (South Korea), Alibaba Cloud (China), Amazon Web Services (United States), Dataiku (United States), Alteryx (United States), H2O.ai, Inc. (United States) and MathWorks (United States). Additionally, following companies can also be profiled that are part of our coverage like Databricks (United States), KNIME (Switzerland) and RapidMiner, Inc (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Science Ml Platforms market by 2028. Considering Market by End User , the sub-segment i.e. IT & Telecommunication will boost the Science Ml Platforms market. Considering Market by Enterprise Size, the sub-segment i.e. Large Enterprise will boost the Science Ml Platforms market. Considering Market by Deployment, the sub-segment i.e. On-premise will boost the Science Ml Platforms market.

Latest Market Insights:
In November 2018,TIBCO Software Inc., a global leader in integration, API management, and analytics, today announced the general availability of TIBCO® Data Science on Amazon Web Services (AWS) Marketplace, the only cloud marketplace to feature this solution. This release includes a number of Machine Learning (ML) algorithms developed by TIBCO and now featured on the newly launched AWS Marketplace for Machine Learning, including models for predicting hospital readmissions, anomaly detection, and document similarity.

In May 2021 Alteryx had announced the launch of new analytics and data science automation, cloud analytics, machine learning (ML), and artificial intelligence (AI) advancements. As the demand for analytics, data science, and process automation grows as a result of digital transformation, Alteryx's commitment to enabling millions of people around the world to swiftly upskill and achieve breakthrough results from data is strengthened.

What Can be Explored with the Science Ml Platforms Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Science Ml Platforms Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Science Ml Platforms
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Science Ml Platforms market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Science Ml Platforms market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Venture and Capitalist, New entrants/investors, Analysts and Strategic Business Partners, Raw Material Suppliers, Backpack Traders/Distributors and End-use industries.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Supervised
  • Semi-Supervised
  • Un-Supervised
By Application
  • Marketing
  • Sales
  • Logistics
  • Other
By End User
  • IT & Telecommunication
  • Healthcare
  • BFSI
  • Manufacturing
  • Retail
  • Others

By Enterprise Size
  • Large Enterprise
  • Small and Medium Enterprise

By Deployment
  • On-premise
  • Cloud-Based

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. Growing Adoption of Cloud Deployments
    • 3.3. Market Challenges
      • 3.3.1. Rising Concerns of Cyber Crime
    • 3.4. Market Trends
      • 3.4.1. Emergence of Augmented Intelligence
      • 3.4.2. Rapid Development of Human-In-The-Loop Artificial Intelligence
  • 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 Science Ml Platforms, by Type, Application, End User , Enterprise Size, Deployment and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Science Ml Platforms (Value)
      • 5.2.1. Global Science Ml Platforms by: Type (Value)
        • 5.2.1.1. Supervised
        • 5.2.1.2. Semi-Supervised
        • 5.2.1.3. Un-Supervised
      • 5.2.2. Global Science Ml Platforms by: Application (Value)
        • 5.2.2.1. Marketing
        • 5.2.2.2. Sales
        • 5.2.2.3. Logistics
        • 5.2.2.4. Other
      • 5.2.3. Global Science Ml Platforms by: Enterprise Size (Value)
        • 5.2.3.1. Large Enterprise
        • 5.2.3.2. Small and Medium Enterprise
      • 5.2.4. Global Science Ml Platforms by: Deployment (Value)
        • 5.2.4.1. On-premise
        • 5.2.4.2. Cloud-Based
      • 5.2.5. Global Science Ml Platforms Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Science Ml Platforms (Price)
      • 5.3.1. Global Science Ml Platforms by: Type (Price)
  • 6. Science Ml 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. IBM (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. Microsoft Corporation (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. TIBCO Software (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. Samsung SDS (South Korea)
        • 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. Alibaba Cloud (China)
        • 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. Amazon Web Services (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. Dataiku (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. Alteryx (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, Inc. (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. MathWorks (United States)
        • 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
  • 7. Global Science Ml Platforms Sale, by Type, Application, End User , Enterprise Size, Deployment and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Science Ml Platforms (Value)
      • 7.2.1. Global Science Ml Platforms by: Type (Value)
        • 7.2.1.1. Supervised
        • 7.2.1.2. Semi-Supervised
        • 7.2.1.3. Un-Supervised
      • 7.2.2. Global Science Ml Platforms by: Application (Value)
        • 7.2.2.1. Marketing
        • 7.2.2.2. Sales
        • 7.2.2.3. Logistics
        • 7.2.2.4. Other
      • 7.2.3. Global Science Ml Platforms by: Enterprise Size (Value)
        • 7.2.3.1. Large Enterprise
        • 7.2.3.2. Small and Medium Enterprise
      • 7.2.4. Global Science Ml Platforms by: Deployment (Value)
        • 7.2.4.1. On-premise
        • 7.2.4.2. Cloud-Based
      • 7.2.5. Global Science Ml Platforms Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Science Ml Platforms (Price)
      • 7.3.1. Global Science Ml Platforms by: Type (Price)
  • 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. Science Ml Platforms: by Type(USD Million)
  • Table 2. Science Ml Platforms Supervised , by Region USD Million (2017-2022)
  • Table 3. Science Ml Platforms Semi-Supervised , by Region USD Million (2017-2022)
  • Table 4. Science Ml Platforms Un-Supervised , by Region USD Million (2017-2022)
  • Table 5. Science Ml Platforms: by Application(USD Million)
  • Table 6. Science Ml Platforms Marketing , by Region USD Million (2017-2022)
  • Table 7. Science Ml Platforms Sales , by Region USD Million (2017-2022)
  • Table 8. Science Ml Platforms Logistics , by Region USD Million (2017-2022)
  • Table 9. Science Ml Platforms Other , by Region USD Million (2017-2022)
  • Table 10. Science Ml Platforms: by Enterprise Size(USD Million)
  • Table 11. Science Ml Platforms Large Enterprise , by Region USD Million (2017-2022)
  • Table 12. Science Ml Platforms Small and Medium Enterprise , by Region USD Million (2017-2022)
  • Table 13. Science Ml Platforms: by Deployment(USD Million)
  • Table 14. Science Ml Platforms On-premise , by Region USD Million (2017-2022)
  • Table 15. Science Ml Platforms Cloud-Based , by Region USD Million (2017-2022)
  • Table 16. South America Science Ml Platforms, by Country USD Million (2017-2022)
  • Table 17. South America Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 18. South America Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 19. South America Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 20. South America Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 21. South America Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 22. Brazil Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 23. Brazil Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 24. Brazil Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 25. Brazil Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 26. Brazil Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 27. Argentina Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 28. Argentina Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 29. Argentina Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 30. Argentina Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 31. Argentina Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 32. Rest of South America Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 33. Rest of South America Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 34. Rest of South America Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 35. Rest of South America Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 36. Rest of South America Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 37. Asia Pacific Science Ml Platforms, by Country USD Million (2017-2022)
  • Table 38. Asia Pacific Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 39. Asia Pacific Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 40. Asia Pacific Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 41. Asia Pacific Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 42. Asia Pacific Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 43. China Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 44. China Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 45. China Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 46. China Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 47. China Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 48. Japan Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 49. Japan Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 50. Japan Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 51. Japan Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 52. Japan Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 53. India Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 54. India Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 55. India Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 56. India Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 57. India Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 58. South Korea Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 59. South Korea Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 60. South Korea Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 61. South Korea Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 62. South Korea Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 63. Taiwan Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 64. Taiwan Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 65. Taiwan Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 66. Taiwan Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 67. Taiwan Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 68. Australia Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 69. Australia Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 70. Australia Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 71. Australia Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 72. Australia Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 73. Rest of Asia-Pacific Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 74. Rest of Asia-Pacific Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 75. Rest of Asia-Pacific Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 76. Rest of Asia-Pacific Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 77. Rest of Asia-Pacific Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 78. Europe Science Ml Platforms, by Country USD Million (2017-2022)
  • Table 79. Europe Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 80. Europe Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 81. Europe Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 82. Europe Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 83. Europe Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 84. Germany Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 85. Germany Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 86. Germany Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 87. Germany Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 88. Germany Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 89. France Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 90. France Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 91. France Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 92. France Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 93. France Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 94. Italy Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 95. Italy Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 96. Italy Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 97. Italy Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 98. Italy Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 99. United Kingdom Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 100. United Kingdom Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 101. United Kingdom Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 102. United Kingdom Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 103. United Kingdom Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 104. Netherlands Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 105. Netherlands Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 106. Netherlands Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 107. Netherlands Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 108. Netherlands Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 109. Rest of Europe Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 110. Rest of Europe Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 111. Rest of Europe Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 112. Rest of Europe Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 113. Rest of Europe Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 114. MEA Science Ml Platforms, by Country USD Million (2017-2022)
  • Table 115. MEA Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 116. MEA Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 117. MEA Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 118. MEA Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 119. MEA Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 120. Middle East Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 121. Middle East Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 122. Middle East Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 123. Middle East Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 124. Middle East Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 125. Africa Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 126. Africa Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 127. Africa Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 128. Africa Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 129. Africa Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 130. North America Science Ml Platforms, by Country USD Million (2017-2022)
  • Table 131. North America Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 132. North America Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 133. North America Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 134. North America Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 135. North America Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 136. United States Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 137. United States Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 138. United States Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 139. United States Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 140. United States Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 141. Canada Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 142. Canada Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 143. Canada Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 144. Canada Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 145. Canada Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 146. Mexico Science Ml Platforms, by Type USD Million (2017-2022)
  • Table 147. Mexico Science Ml Platforms, by Application USD Million (2017-2022)
  • Table 148. Mexico Science Ml Platforms, by End User USD Million (2017-2022)
  • Table 149. Mexico Science Ml Platforms, by Enterprise Size USD Million (2017-2022)
  • Table 150. Mexico Science Ml Platforms, by Deployment USD Million (2017-2022)
  • Table 151. Science Ml Platforms: by Type(USD/Units)
  • Table 152. Company Basic Information, Sales Area and Its Competitors
  • Table 153. Company Basic Information, Sales Area and Its Competitors
  • Table 154. Company Basic Information, Sales Area and Its Competitors
  • Table 155. Company Basic Information, Sales Area and Its Competitors
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Science Ml Platforms: by Type(USD Million)
  • Table 163. Science Ml Platforms Supervised , by Region USD Million (2023-2028)
  • Table 164. Science Ml Platforms Semi-Supervised , by Region USD Million (2023-2028)
  • Table 165. Science Ml Platforms Un-Supervised , by Region USD Million (2023-2028)
  • Table 166. Science Ml Platforms: by Application(USD Million)
  • Table 167. Science Ml Platforms Marketing , by Region USD Million (2023-2028)
  • Table 168. Science Ml Platforms Sales , by Region USD Million (2023-2028)
  • Table 169. Science Ml Platforms Logistics , by Region USD Million (2023-2028)
  • Table 170. Science Ml Platforms Other , by Region USD Million (2023-2028)
  • Table 171. Science Ml Platforms: by Enterprise Size(USD Million)
  • Table 172. Science Ml Platforms Large Enterprise , by Region USD Million (2023-2028)
  • Table 173. Science Ml Platforms Small and Medium Enterprise , by Region USD Million (2023-2028)
  • Table 174. Science Ml Platforms: by Deployment(USD Million)
  • Table 175. Science Ml Platforms On-premise , by Region USD Million (2023-2028)
  • Table 176. Science Ml Platforms Cloud-Based , by Region USD Million (2023-2028)
  • Table 177. South America Science Ml Platforms, by Country USD Million (2023-2028)
  • Table 178. South America Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 179. South America Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 180. South America Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 181. South America Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 182. South America Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 183. Brazil Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 184. Brazil Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 185. Brazil Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 186. Brazil Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 187. Brazil Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 188. Argentina Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 189. Argentina Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 190. Argentina Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 191. Argentina Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 192. Argentina Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 193. Rest of South America Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 194. Rest of South America Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 195. Rest of South America Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 196. Rest of South America Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 197. Rest of South America Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 198. Asia Pacific Science Ml Platforms, by Country USD Million (2023-2028)
  • Table 199. Asia Pacific Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 200. Asia Pacific Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 201. Asia Pacific Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 202. Asia Pacific Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 203. Asia Pacific Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 204. China Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 205. China Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 206. China Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 207. China Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 208. China Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 209. Japan Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 210. Japan Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 211. Japan Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 212. Japan Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 213. Japan Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 214. India Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 215. India Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 216. India Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 217. India Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 218. India Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 219. South Korea Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 220. South Korea Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 221. South Korea Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 222. South Korea Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 223. South Korea Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 224. Taiwan Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 225. Taiwan Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 226. Taiwan Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 227. Taiwan Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 228. Taiwan Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 229. Australia Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 230. Australia Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 231. Australia Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 232. Australia Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 233. Australia Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 234. Rest of Asia-Pacific Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 235. Rest of Asia-Pacific Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 236. Rest of Asia-Pacific Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 237. Rest of Asia-Pacific Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 238. Rest of Asia-Pacific Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 239. Europe Science Ml Platforms, by Country USD Million (2023-2028)
  • Table 240. Europe Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 241. Europe Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 242. Europe Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 243. Europe Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 244. Europe Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 245. Germany Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 246. Germany Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 247. Germany Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 248. Germany Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 249. Germany Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 250. France Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 251. France Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 252. France Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 253. France Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 254. France Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 255. Italy Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 256. Italy Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 257. Italy Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 258. Italy Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 259. Italy Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 260. United Kingdom Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 261. United Kingdom Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 262. United Kingdom Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 263. United Kingdom Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 264. United Kingdom Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 265. Netherlands Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 266. Netherlands Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 267. Netherlands Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 268. Netherlands Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 269. Netherlands Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 270. Rest of Europe Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 271. Rest of Europe Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 272. Rest of Europe Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 273. Rest of Europe Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 274. Rest of Europe Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 275. MEA Science Ml Platforms, by Country USD Million (2023-2028)
  • Table 276. MEA Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 277. MEA Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 278. MEA Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 279. MEA Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 280. MEA Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 281. Middle East Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 282. Middle East Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 283. Middle East Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 284. Middle East Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 285. Middle East Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 286. Africa Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 287. Africa Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 288. Africa Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 289. Africa Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 290. Africa Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 291. North America Science Ml Platforms, by Country USD Million (2023-2028)
  • Table 292. North America Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 293. North America Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 294. North America Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 295. North America Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 296. North America Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 297. United States Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 298. United States Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 299. United States Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 300. United States Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 301. United States Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 302. Canada Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 303. Canada Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 304. Canada Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 305. Canada Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 306. Canada Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 307. Mexico Science Ml Platforms, by Type USD Million (2023-2028)
  • Table 308. Mexico Science Ml Platforms, by Application USD Million (2023-2028)
  • Table 309. Mexico Science Ml Platforms, by End User USD Million (2023-2028)
  • Table 310. Mexico Science Ml Platforms, by Enterprise Size USD Million (2023-2028)
  • Table 311. Mexico Science Ml Platforms, by Deployment USD Million (2023-2028)
  • Table 312. Science Ml Platforms: by Type(USD/Units)
  • Table 313. Research Programs/Design for This Report
  • Table 314. Key Data Information from Secondary Sources
  • Table 315. 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 Science Ml Platforms: by Type USD Million (2017-2022)
  • Figure 5. Global Science Ml Platforms: by Application USD Million (2017-2022)
  • Figure 6. Global Science Ml Platforms: by Enterprise Size USD Million (2017-2022)
  • Figure 7. Global Science Ml Platforms: by Deployment USD Million (2017-2022)
  • Figure 8. South America Science Ml Platforms Share (%), by Country
  • Figure 9. Asia Pacific Science Ml Platforms Share (%), by Country
  • Figure 10. Europe Science Ml Platforms Share (%), by Country
  • Figure 11. MEA Science Ml Platforms Share (%), by Country
  • Figure 12. North America Science Ml Platforms Share (%), by Country
  • Figure 13. Global Science Ml Platforms: by Type USD/Units (2017-2022)
  • Figure 14. Global Science Ml Platforms share by Players 2022 (%)
  • Figure 15. Global Science Ml Platforms share by Players (Top 3) 2022(%)
  • Figure 16. Global Science Ml Platforms share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2022
  • Figure 20. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 22. TIBCO Software (United States) Revenue, Net Income and Gross profit
  • Figure 23. TIBCO Software (United States) Revenue: by Geography 2022
  • Figure 24. Samsung SDS (South Korea) Revenue, Net Income and Gross profit
  • Figure 25. Samsung SDS (South Korea) Revenue: by Geography 2022
  • Figure 26. Alibaba Cloud (China) Revenue, Net Income and Gross profit
  • Figure 27. Alibaba Cloud (China) Revenue: by Geography 2022
  • Figure 28. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 29. Amazon Web Services (United States) Revenue: by Geography 2022
  • Figure 30. Dataiku (United States) Revenue, Net Income and Gross profit
  • Figure 31. Dataiku (United States) Revenue: by Geography 2022
  • Figure 32. Alteryx (United States) Revenue, Net Income and Gross profit
  • Figure 33. Alteryx (United States) Revenue: by Geography 2022
  • Figure 34. H2O.ai, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 35. H2O.ai, Inc. (United States) Revenue: by Geography 2022
  • Figure 36. MathWorks (United States) Revenue, Net Income and Gross profit
  • Figure 37. MathWorks (United States) Revenue: by Geography 2022
  • Figure 38. Global Science Ml Platforms: by Type USD Million (2023-2028)
  • Figure 39. Global Science Ml Platforms: by Application USD Million (2023-2028)
  • Figure 40. Global Science Ml Platforms: by Enterprise Size USD Million (2023-2028)
  • Figure 41. Global Science Ml Platforms: by Deployment USD Million (2023-2028)
  • Figure 42. South America Science Ml Platforms Share (%), by Country
  • Figure 43. Asia Pacific Science Ml Platforms Share (%), by Country
  • Figure 44. Europe Science Ml Platforms Share (%), by Country
  • Figure 45. MEA Science Ml Platforms Share (%), by Country
  • Figure 46. North America Science Ml Platforms Share (%), by Country
  • Figure 47. Global Science Ml Platforms: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft Corporation (United States)
  • TIBCO Software (United States)
  • Samsung SDS (South Korea)
  • Alibaba Cloud (China)
  • Amazon Web Services (United States)
  • Dataiku (United States)
  • Alteryx (United States)
  • H2O.ai, Inc. (United States)
  • MathWorks (United States)
Additional players considered in the study are as follows:
Databricks (United States) , KNIME (Switzerland) , RapidMiner, Inc (United States)
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Key Highlights of Report


Dec 2023 214 Pages 80 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Science Ml Platforms Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Science Ml Platforms market are IBM (United States), Microsoft Corporation (United States), TIBCO Software (United States), Samsung SDS (South Korea), Alibaba Cloud (China), Amazon Web Services (United States), Dataiku (United States), Alteryx (United States), H2O.ai, Inc. (United States) and MathWorks (United States), to name a few.
"Emergence of Augmented Intelligence " is seen as one of major influencing trends for Science Ml Platforms Market during projected period 2022-2028.
Supervised segment in Global market to hold robust market share owing to "Growing Adoption of Cloud Deployments".

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