Global Data Science and Machine-Learning Platforms Market Research Report 2024(Status and Outlook)- 24 Market Research

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The global Data Science and Machine-Learning Platforms market was valued at US$ 4.3 billion in 2023 and is projected to reach US$ 11.6 billion by 2030, exhibiting a Compound Annual Growth Rate (CAGR) of 16.3% during the forecast period (2023-2030).

Report Overview
This report provides a deep insight into the global Data Science and Machine-Learning Platforms market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.

The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Data Science and Machine-Learning Platforms Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.

In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Data Science and Machine-Learning Platforms market in any manner.

Global Data Science and Machine-Learning Platforms Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

Key Company

SAS
Alteryx
IBM
RapidMiner
KNIME
Microsoft
Dataiku
Databricks
TIBCO Software
MathWorks
H20.ai
Anaconda
SAP
Google
Domino Data Lab
Angoss
Lexalytics
Rapid Insight

By Type

Open Source Data Integration Tools
Cloud-based Data Integration Tools

By Application:

Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises

Geographic Segmentation

North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Key Benefits of This Market Research:

Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Data Science and Machine-Learning Platforms Market
Overview of the regional outlook of the Data Science and Machine-Learning Platforms Market:

Key Reasons to Buy this Report:

Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value (USD Billion) data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porters five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
6-month post-sales analyst support

Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Data Science and Machine-Learning Platforms Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.
Chapter 12 is the main points and conclusions of the report.

Table of Contents
1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of Data Science and Machine-Learning Platforms
1.2 Key Market Segments
1.2.1 Data Science and Machine-Learning Platforms Segment by Type
1.2.2 Data Science and Machine-Learning Platforms Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 Data Science and Machine-Learning Platforms Market Overview
2.1 Global Market Overview
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 Data Science and Machine-Learning Platforms Market Competitive Landscape
3.1 Global Data Science and Machine-Learning Platforms Revenue Market Share by Company (2019-2024)
3.2 Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Company Data Science and Machine-Learning Platforms Market Size Sites, Area Served, Product Type
3.4 Data Science and Machine-Learning Platforms Market Competitive Situation and Trends
3.4.1 Data Science and Machine-Learning Platforms Market Concentration Rate
3.4.2 Global 5 and 10 Largest Data Science and Machine-Learning Platforms Players Market Share by Revenue
3.4.3 Mergers & Acquisitions, Expansion
4 Data Science and Machine-Learning Platforms Value Chain Analysis
4.1 Data Science and Machine-Learning Platforms Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of Data Science and Machine-Learning Platforms Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 Mergers & Acquisitions
5.5.2 Expansions
5.5.3 Collaboration/Supply Contracts
5.6 Industry Policies
6 Data Science and Machine-Learning Platforms Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global Data Science and Machine-Learning Platforms Market Size Market Share by Type (2019-2024)
6.3 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (2019-2024)
7 Data Science and Machine-Learning Platforms Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global Data Science and Machine-Learning Platforms Market Size (M USD) by Application (2019-2024)
7.3 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application (2019-2024)
8 Data Science and Machine-Learning Platforms Market Segmentation by Region
8.1 Global Data Science and Machine-Learning Platforms Market Size by Region
8.1.1 Global Data Science and Machine-Learning Platforms Market Size by Region
8.1.2 Global Data Science and Machine-Learning Platforms Market Size Market Share by Region
8.2 North America
8.2.1 North America Data Science and Machine-Learning Platforms Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe Data Science and Machine-Learning Platforms Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific Data Science and Machine-Learning Platforms Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America Data Science and Machine-Learning Platforms Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa Data Science and Machine-Learning Platforms Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 SAS
9.1.1 SAS Data Science and Machine-Learning Platforms Basic Information
9.1.2 SAS Data Science and Machine-Learning Platforms Product Overview
9.1.3 SAS Data Science and Machine-Learning Platforms Product Market Performance
9.1.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.1.5 SAS Business Overview
9.1.6 SAS Recent Developments
9.2 Alteryx
9.2.1 Alteryx Data Science and Machine-Learning Platforms Basic Information
9.2.2 Alteryx Data Science and Machine-Learning Platforms Product Overview
9.2.3 Alteryx Data Science and Machine-Learning Platforms Product Market Performance
9.2.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.2.5 Alteryx Business Overview
9.2.6 Alteryx Recent Developments
9.3 IBM
9.3.1 IBM Data Science and Machine-Learning Platforms Basic Information
9.3.2 IBM Data Science and Machine-Learning Platforms Product Overview
9.3.3 IBM Data Science and Machine-Learning Platforms Product Market Performance
9.3.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.3.5 IBM Business Overview
9.3.6 IBM Recent Developments
9.4 RapidMiner
9.4.1 RapidMiner Data Science and Machine-Learning Platforms Basic Information
9.4.2 RapidMiner Data Science and Machine-Learning Platforms Product Overview
9.4.3 RapidMiner Data Science and Machine-Learning Platforms Product Market Performance
9.4.4 RapidMiner Business Overview
9.4.5 RapidMiner Recent Developments
9.5 KNIME
9.5.1 KNIME Data Science and Machine-Learning Platforms Basic Information
9.5.2 KNIME Data Science and Machine-Learning Platforms Product Overview
9.5.3 KNIME Data Science and Machine-Learning Platforms Product Market Performance
9.5.4 KNIME Business Overview
9.5.5 KNIME Recent Developments
9.6 Microsoft
9.6.1 Microsoft Data Science and Machine-Learning Platforms Basic Information
9.6.2 Microsoft Data Science and Machine-Learning Platforms Product Overview
9.6.3 Microsoft Data Science and Machine-Learning Platforms Product Market Performance
9.6.4 Microsoft Business Overview
9.6.5 Microsoft Recent Developments
9.7 Dataiku
9.7.1 Dataiku Data Science and Machine-Learning Platforms Basic Information
9.7.2 Dataiku Data Science and Machine-Learning Platforms Product Overview
9.7.3 Dataiku Data Science and Machine-Learning Platforms Product Market Performance
9.7.4 Dataiku Business Overview
9.7.5 Dataiku Recent Developments
9.8 Databricks
9.8.1 Databricks Data Science and Machine-Learning Platforms Basic Information
9.8.2 Databricks Data Science and Machine-Learning Platforms Product Overview
9.8.3 Databricks Data Science and Machine-Learning Platforms Product Market Performance
9.8.4 Databricks Business Overview
9.8.5 Databricks Recent Developments
9.9 TIBCO Software
9.9.1 TIBCO Software Data Science and Machine-Learning Platforms Basic Information
9.9.2 TIBCO Software Data Science and Machine-Learning Platforms Product Overview
9.9.3 TIBCO Software Data Science and Machine-Learning Platforms Product Market Performance
9.9.4 TIBCO Software Business Overview
9.9.5 TIBCO Software Recent Developments
9.10 MathWorks
9.10.1 MathWorks Data Science and Machine-Learning Platforms Basic Information
9.10.2 MathWorks Data Science and Machine-Learning Platforms Product Overview
9.10.3 MathWorks Data Science and Machine-Learning Platforms Product Market Performance
9.10.4 MathWorks Business Overview
9.10.5 MathWorks Recent Developments
9.11 H20.ai
9.11.1 H20.ai Data Science and Machine-Learning Platforms Basic Information
9.11.2 H20.ai Data Science and Machine-Learning Platforms Product Overview
9.11.3 H20.ai Data Science and Machine-Learning Platforms Product Market Performance
9.11.4 H20.ai Business Overview
9.11.5 H20.ai Recent Developments
9.12 Anaconda
9.12.1 Anaconda Data Science and Machine-Learning Platforms Basic Information
9.12.2 Anaconda Data Science and Machine-Learning Platforms Product Overview
9.12.3 Anaconda Data Science and Machine-Learning Platforms Product Market Performance
9.12.4 Anaconda Business Overview
9.12.5 Anaconda Recent Developments
9.13 SAP
9.13.1 SAP Data Science and Machine-Learning Platforms Basic Information
9.13.2 SAP Data Science and Machine-Learning Platforms Product Overview
9.13.3 SAP Data Science and Machine-Learning Platforms Product Market Performance
9.13.4 SAP Business Overview
9.13.5 SAP Recent Developments
9.14 Google
9.14.1 Google Data Science and Machine-Learning Platforms Basic Information
9.14.2 Google Data Science and Machine-Learning Platforms Product Overview
9.14.3 Google Data Science and Machine-Learning Platforms Product Market Performance
9.14.4 Google Business Overview
9.14.5 Google Recent Developments
9.15 Domino Data Lab
9.15.1 Domino Data Lab Data Science and Machine-Learning Platforms Basic Information
9.15.2 Domino Data Lab Data Science and Machine-Learning Platforms Product Overview
9.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Product Market Performance
9.15.4 Domino Data Lab Business Overview
9.15.5 Domino Data Lab Recent Developments
9.16 Angoss
9.16.1 Angoss Data Science and Machine-Learning Platforms Basic Information
9.16.2 Angoss Data Science and Machine-Learning Platforms Product Overview
9.16.3 Angoss Data Science and Machine-Learning Platforms Product Market Performance
9.16.4 Angoss Business Overview
9.16.5 Angoss Recent Developments
9.17 Lexalytics
9.17.1 Lexalytics Data Science and Machine-Learning Platforms Basic Information
9.17.2 Lexalytics Data Science and Machine-Learning Platforms Product Overview
9.17.3 Lexalytics Data Science and Machine-Learning Platforms Product Market Performance
9.17.4 Lexalytics Business Overview
9.17.5 Lexalytics Recent Developments
9.18 Rapid Insight
9.18.1 Rapid Insight Data Science and Machine-Learning Platforms Basic Information
9.18.2 Rapid Insight Data Science and Machine-Learning Platforms Product Overview
9.18.3 Rapid Insight Data Science and Machine-Learning Platforms Product Market Performance
9.18.4 Rapid Insight Business Overview
9.18.5 Rapid Insight Recent Developments
10 Data Science and Machine-Learning Platforms Regional Market Forecast
10.1 Global Data Science and Machine-Learning Platforms Market Size Forecast
10.2 Global Data Science and Machine-Learning Platforms Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe Data Science and Machine-Learning Platforms Market Size Forecast by Country
10.2.3 Asia Pacific Data Science and Machine-Learning Platforms Market Size Forecast by Region
10.2.4 South America Data Science and Machine-Learning Platforms Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Consumption of Data Science and Machine-Learning Platforms by Country
11 Forecast Market by Type and by Application (2025-2030)
11.1 Global Data Science and Machine-Learning Platforms Market Forecast by Type (2025-2030)
11.2 Global Data Science and Machine-Learning Platforms Market Forecast by Application (2025-2030)
12 Conclusion and Key Findings

LIST OF TABLES & FIGURES

List of Tables
Table 1. Introduction of the Type
Table 2. Introduction of the Application
Table 3. Market Size (M USD) Segment Executive Summary
Table 4. Data Science and Machine-Learning Platforms Market Size Comparison by Region (M USD)
Table 5. Global Data Science and Machine-Learning Platforms Revenue (M USD) by Company (2019-2024)
Table 6. Global Data Science and Machine-Learning Platforms Revenue Share by Company (2019-2024)
Table 7. Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Machine-Learning Platforms as of 2022)
Table 8. Company Data Science and Machine-Learning Platforms Market Size Sites and Area Served
Table 9. Company Data Science and Machine-Learning Platforms Product Type
Table 10. Global Data Science and Machine-Learning Platforms Company Market Concentration Ratio (CR5 and HHI)
Table 11. Mergers & Acquisitions, Expansion Plans
Table 12. Value Chain Map of Data Science and Machine-Learning Platforms
Table 13. Midstream Market Analysis
Table 14. Downstream Customer Analysis
Table 15. Key Development Trends
Table 16. Driving Factors
Table 17. Data Science and Machine-Learning Platforms Market Challenges
Table 18. Global Data Science and Machine-Learning Platforms Market Size by Type (M USD)
Table 19. Global Data Science and Machine-Learning Platforms Market Size (M USD) by Type (2019-2024)
Table 20. Global Data Science and Machine-Learning Platforms Market Size Share by Type (2019-2024)
Table 21. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (2019-2024)
Table 22. Global Data Science and Machine-Learning Platforms Market Size by Application
Table 23. Global Data Science and Machine-Learning Platforms Market Size by Application (2019-2024) & (M USD)
Table 24. Global Data Science and Machine-Learning Platforms Market Share by Application (2019-2024)
Table 25. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application (2019-2024)
Table 26. Global Data Science and Machine-Learning Platforms Market Size by Region (2019-2024) & (M USD)
Table 27. Global Data Science and Machine-Learning Platforms Market Size Market Share by Region (2019-2024)
Table 28. North America Data Science and Machine-Learning Platforms Market Size by Country (2019-2024) & (M USD)
Table 29. Europe Data Science and Machine-Learning Platforms Market Size by Country (2019-2024) & (M USD)
Table 30. Asia Pacific Data Science and Machine-Learning Platforms Market Size by Region (2019-2024) & (M USD)
Table 31. South America Data Science and Machine-Learning Platforms Market Size by Country (2019-2024) & (M USD)
Table 32. Middle East and Africa Data Science and Machine-Learning Platforms Market Size by Region (2019-2024) & (M USD)
Table 33. SAS Data Science and Machine-Learning Platforms Basic Information
Table 34. SAS Data Science and Machine-Learning Platforms Product Overview
Table 35. SAS Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 36. SAS Data Science and Machine-Learning Platforms SWOT Analysis
Table 37. SAS Business Overview
Table 38. SAS Recent Developments
Table 39. Alteryx Data Science and Machine-Learning Platforms Basic Information
Table 40. Alteryx Data Science and Machine-Learning Platforms Product Overview
Table 41. Alteryx Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 42. SAS Data Science and Machine-Learning Platforms SWOT Analysis
Table 43. Alteryx Business Overview
Table 44. Alteryx Recent Developments
Table 45. IBM Data Science and Machine-Learning Platforms Basic Information
Table 46. IBM Data Science and Machine-Learning Platforms Product Overview
Table 47. IBM Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 48. SAS Data Science and Machine-Learning Platforms SWOT Analysis
Table 49. IBM Business Overview
Table 50. IBM Recent Developments
Table 51. RapidMiner Data Science and Machine-Learning Platforms Basic Information
Table 52. RapidMiner Data Science and Machine-Learning Platforms Product Overview
Table 53. RapidMiner Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 54. RapidMiner Business Overview
Table 55. RapidMiner Recent Developments
Table 56. KNIME Data Science and Machine-Learning Platforms Basic Information
Table 57. KNIME Data Science and Machine-Learning Platforms Product Overview
Table 58. KNIME Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 59. KNIME Business Overview
Table 60. KNIME Recent Developments
Table 61. Microsoft Data Science and Machine-Learning Platforms Basic Information
Table 62. Microsoft Data Science and Machine-Learning Platforms Product Overview
Table 63. Microsoft Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 64. Microsoft Business Overview
Table 65. Microsoft Recent Developments
Table 66. Dataiku Data Science and Machine-Learning Platforms Basic Information
Table 67. Dataiku Data Science and Machine-Learning Platforms Product Overview
Table 68. Dataiku Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 69. Dataiku Business Overview
Table 70. Dataiku Recent Developments
Table 71. Databricks Data Science and Machine-Learning Platforms Basic Information
Table 72. Databricks Data Science and Machine-Learning Platforms Product Overview
Table 73. Databricks Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 74. Databricks Business Overview
Table 75. Databricks Recent Developments
Table 76. TIBCO Software Data Science and Machine-Learning Platforms Basic Information
Table 77. TIBCO Software Data Science and Machine-Learning Platforms Product Overview
Table 78. TIBCO Software Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 79. TIBCO Software Business Overview
Table 80. TIBCO Software Recent Developments
Table 81. MathWorks Data Science and Machine-Learning Platforms Basic Information
Table 82. MathWorks Data Science and Machine-Learning Platforms Product Overview
Table 83. MathWorks Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 84. MathWorks Business Overview
Table 85. MathWorks Recent Developments
Table 86. H20.ai Data Science and Machine-Learning Platforms Basic Information
Table 87. H20.ai Data Science and Machine-Learning Platforms Product Overview
Table 88. H20.ai Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 89. H20.ai Business Overview
Table 90. H20.ai Recent Developments
Table 91. Anaconda Data Science and Machine-Learning Platforms Basic Information
Table 92. Anaconda Data Science and Machine-Learning Platforms Product Overview
Table 93. Anaconda Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 94. Anaconda Business Overview
Table 95. Anaconda Recent Developments
Table 96. SAP Data Science and Machine-Learning Platforms Basic Information
Table 97. SAP Data Science and Machine-Learning Platforms Product Overview
Table 98. SAP Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 99. SAP Business Overview
Table 100. SAP Recent Developments
Table 101. Google Data Science and Machine-Learning Platforms Basic Information
Table 102. Google Data Science and Machine-Learning Platforms Product Overview
Table 103. Google Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 104. Google Business Overview
Table 105. Google Recent Developments
Table 106. Domino Data Lab Data Science and Machine-Learning Platforms Basic Information
Table 107. Domino Data Lab Data Science and Machine-Learning Platforms Product Overview
Table 108. Domino Data Lab Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 109. Domino Data Lab Business Overview
Table 110. Domino Data Lab Recent Developments
Table 111. Angoss Data Science and Machine-Learning Platforms Basic Information
Table 112. Angoss Data Science and Machine-Learning Platforms Product Overview
Table 113. Angoss Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 114. Angoss Business Overview
Table 115. Angoss Recent Developments
Table 116. Lexalytics Data Science and Machine-Learning Platforms Basic Information
Table 117. Lexalytics Data Science and Machine-Learning Platforms Product Overview
Table 118. Lexalytics Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 119. Lexalytics Business Overview
Table 120. Lexalytics Recent Developments
Table 121. Rapid Insight Data Science and Machine-Learning Platforms Basic Information
Table 122. Rapid Insight Data Science and Machine-Learning Platforms Product Overview
Table 123. Rapid Insight Data Science and Machine-Learning Platforms Revenue (M USD) and Gross Margin (2019-2024)
Table 124. Rapid Insight Business Overview
Table 125. Rapid Insight Recent Developments
Table 126. Global Data Science and Machine-Learning Platforms Market Size Forecast by Region (2025-2030) & (M USD)
Table 127. North America Data Science and Machine-Learning Platforms Market Size Forecast by Country (2025-2030) & (M USD)
Table 128. Europe Data Science and Machine-Learning Platforms Market Size Forecast by Country (2025-2030) & (M USD)
Table 129. Asia Pacific Data Science and Machine-Learning Platforms Market Size Forecast by Region (2025-2030) & (M USD)
Table 130. South America Data Science and Machine-Learning Platforms Market Size Forecast by Country (2025-2030) & (M USD)
Table 131. Middle East and Africa Data Science and Machine-Learning Platforms Market Size Forecast by Country (2025-2030) & (M USD)
Table 132. Global Data Science and Machine-Learning Platforms Market Size Forecast by Type (2025-2030) & (M USD)
Table 133. Global Data Science and Machine-Learning Platforms Market Size Forecast by Application (2025-2030) & (M USD)
List of Figures
Figure 1. Industrial Chain of Data Science and Machine-Learning Platforms
Figure 2. Data Triangulation
Figure 3. Key Caveats
Figure 4. Global Data Science and Machine-Learning Platforms Market Size (M USD), 2019-2030
Figure 5. Global Data Science and Machine-Learning Platforms Market Size (M USD) (2019-2030)
Figure 6. Evaluation Matrix of Segment Market Development Potential (Type)
Figure 7. Evaluation Matrix of Segment Market Development Potential (Application)
Figure 8. Evaluation Matrix of Regional Market Development Potential
Figure 9. Data Science and Machine-Learning Platforms Market Size by Country (M USD)
Figure 10. Global Data Science and Machine-Learning Platforms Revenue Share by Company in 2023
Figure 11. Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3): 2023
Figure 12. The Global 5 and 10 Largest Players: Market Share by Data Science and Machine-Learning Platforms Revenue in 2023
Figure 13. Evaluation Matrix of Segment Market Development Potential (Type)
Figure 14. Global Data Science and Machine-Learning Platforms Market Share by Type
Figure 15. Market Size Share of Data Science and Machine-Learning Platforms by Type (2019-2024)
Figure 16. Market Size Market Share of Data Science and Machine-Learning Platforms by Type in 2022
Figure 17. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (2019-2024)
Figure 18. Evaluation Matrix of Segment Market Development Potential (Application)
Figure 19. Global Data Science and Machine-Learning Platforms Market Share by Application
Figure 20. Global Data Science and Machine-Learning Platforms Market Share by Application (2019-2024)
Figure 21. Global Data Science and Machine-Learning Platforms Market Share by Application in 2022
Figure 22. Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application (2019-2024)
Figure 23. Global Data Science and Machine-Learning Platforms Market Size Market Share by Region (2019-2024)
Figure 24. North America Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 25. North America Data Science and Machine-Learning Platforms Market Size Market Share by Country in 2023
Figure 26. U.S. Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 27. Canada Data Science and Machine-Learning Platforms Market Size (M USD) and Growth Rate (2019-2024)
Figure 28. Mexico Data Science and Machine-Learning Platforms Market Size (Units) and Growth Rate (2019-2024)
Figure 29. Europe Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 30. Europe Data Science and Machine-Learning Platforms Market Size Market Share by Country in 2023
Figure 31. Germany Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 32. France Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 33. U.K. Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 34. Italy Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 35. Russia Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 36. Asia Pacific Data Science and Machine-Learning Platforms Market Size and Growth Rate (M USD)
Figure 37. Asia Pacific Data Science and Machine-Learning Platforms Market Size Market Share by Region in 2023
Figure 38. China Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 39. Japan Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 40. South Korea Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 41. India Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 42. Southeast Asia Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 43. South America Data Science and Machine-Learning Platforms Market Size and Growth Rate (M USD)
Figure 44. South America Data Science and Machine-Learning Platforms Market Size Market Share by Country in 2023
Figure 45. Brazil Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 46. Argentina Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 47. Columbia Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 48. Middle East and Africa Data Science and Machine-Learning Platforms Market Size and Growth Rate (M USD)
Figure 49. Middle East and Africa Data Science and Machine-Learning Platforms Market Size Market Share by Region in 2023
Figure 50. Saudi Arabia Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 51. UAE Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 52. Egypt Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 53. Nigeria Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 54. South Africa Data Science and Machine-Learning Platforms Market Size and Growth Rate (2019-2024) & (M USD)
Figure 55. Global Data Science and Machine-Learning Platforms Market Size Forecast by Value (2019-2030) & (M USD)
Figure 56. Global Data Science and Machine-Learning Platforms Market Share Forecast by Type (2025-2030)
Figure 57. Global Data Science and Machine-Learning Platforms Market Share Forecast by Application (2025-2030)

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Global Data Science and Machine-Learning Platforms Market Research Report 2024(Status and Outlook)

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