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Global Data Science Software Market Outlook, In‑Depth Analysis & Forecast to 2031
Published Date: November 2025
|
Report Code: QYRE-Auto-28J16839
Home | Market Reports | Computers & Electronics| Enterprise Technology| Data Management
Global Data Science Software Market Research Report 2024
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Global Data Science Software Market Outlook, In‑Depth Analysis & Forecast to 2031

Code: QYRE-Auto-28J16839
Report
November 2025
Pages:117
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Matlab
RapidMiner
BigML
Minitab
DataRobot
Altair RapidMiner
IBM SPSS

Data Science Software Market

The global Data Science Software market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
From a downstream perspective, Large Enterprises accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
Data Science Software leading manufacturers including IBM SPSS, Matlab, SAS, Tableau, RapidMiner, BigML, Minitab, DataRobot, Altair RapidMiner, QlikView, etc., dominate supply; the top five capture approximately % of global revenue, with IBM SPSS leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR  %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).

Report Includes:

This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Data Science Software market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation

Scope of Data Science Software Market Report

Report Metric Details
Report Name Data Science Software Market
Segment by Type
  • Cloud-based
  • On-premises
Segment by Application
  • Large Enterprises
  • SMEs
Sales by Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company IBM SPSS, Matlab, SAS, Tableau, RapidMiner, BigML, Minitab, DataRobot, Altair RapidMiner, QlikView
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Defines the Data Science Software study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
  • Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
  • Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
  • Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
  • Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
  • Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
  • Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
  • Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
  • Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
  • Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
  • Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
  • Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
  • Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
  • Chapter 14: Actionable conclusions and strategic recommendations.
  • Why This Report:
  • Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
  • Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
  • Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
  • Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
  • Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
  • Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

FAQ for this report

Who are the main players in the Data Science Software Market report?

Ans: The main players in the Data Science Software Market are IBM SPSS, Matlab, SAS, Tableau, RapidMiner, BigML, Minitab, DataRobot, Altair RapidMiner, QlikView

What are the Application segmentation covered in the Data Science Software Market report?

Ans: The Applications covered in the Data Science Software Market report are Large Enterprises, SMEs

What are the Type segmentation covered in the Data Science Software Market report?

Ans: The Types covered in the Data Science Software Market report are Cloud-based, On-premises

1 Study Coverage
1.1 Introduction to Data Science Software: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Data Science Software Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market Segmentation by Application
1.3.1 Global Data Science Software Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Data Science Software Revenue Estimates and Forecasts 2020-2031
2.2 Global Data Science Software Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Data Science Software Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Data Science Software Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Cloud-based Market Size by Players
3.3.2 On-premises Market Size by Players
3.4 Global Data Science Software Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Data Science Software Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Data Science Software Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Data Science Software Market Size by Type (2020-2031)
6.4 North America Data Science Software Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Data Science Software Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Data Science Software Market Size by Type (2020-2031)
7.4 Europe Data Science Software Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Data Science Software Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Data Science Software Market Size by Type (2020-2031)
8.4 Asia-Pacific Data Science Software Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Data Science Software Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Data Science Software Market Size by Type (2020-2031)
9.4 Central and South America Data Science Software Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Data Science Software Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Data Science Software Market Size by Type (2020-2031)
10.4 Middle East and Africa Data Science Software Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Data Science Software Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 IBM SPSS
11.1.1 IBM SPSS Corporation Information
11.1.2 IBM SPSS Business Overview
11.1.3 IBM SPSS Data Science Software Product Features and Attributes
11.1.4 IBM SPSS Data Science Software Revenue and Gross Margin (2020-2025)
11.1.5 IBM SPSS Data Science Software Revenue by Product in 2024
11.1.6 IBM SPSS Data Science Software Revenue by Application in 2024
11.1.7 IBM SPSS Data Science Software Revenue by Geographic Area in 2024
11.1.8 IBM SPSS Data Science Software SWOT Analysis
11.1.9 IBM SPSS Recent Developments
11.2 Matlab
11.2.1 Matlab Corporation Information
11.2.2 Matlab Business Overview
11.2.3 Matlab Data Science Software Product Features and Attributes
11.2.4 Matlab Data Science Software Revenue and Gross Margin (2020-2025)
11.2.5 Matlab Data Science Software Revenue by Product in 2024
11.2.6 Matlab Data Science Software Revenue by Application in 2024
11.2.7 Matlab Data Science Software Revenue by Geographic Area in 2024
11.2.8 Matlab Data Science Software SWOT Analysis
11.2.9 Matlab Recent Developments
11.3 SAS
11.3.1 SAS Corporation Information
11.3.2 SAS Business Overview
11.3.3 SAS Data Science Software Product Features and Attributes
11.3.4 SAS Data Science Software Revenue and Gross Margin (2020-2025)
11.3.5 SAS Data Science Software Revenue by Product in 2024
11.3.6 SAS Data Science Software Revenue by Application in 2024
11.3.7 SAS Data Science Software Revenue by Geographic Area in 2024
11.3.8 SAS Data Science Software SWOT Analysis
11.3.9 SAS Recent Developments
11.4 Tableau
11.4.1 Tableau Corporation Information
11.4.2 Tableau Business Overview
11.4.3 Tableau Data Science Software Product Features and Attributes
11.4.4 Tableau Data Science Software Revenue and Gross Margin (2020-2025)
11.4.5 Tableau Data Science Software Revenue by Product in 2024
11.4.6 Tableau Data Science Software Revenue by Application in 2024
11.4.7 Tableau Data Science Software Revenue by Geographic Area in 2024
11.4.8 Tableau Data Science Software SWOT Analysis
11.4.9 Tableau Recent Developments
11.5 RapidMiner
11.5.1 RapidMiner Corporation Information
11.5.2 RapidMiner Business Overview
11.5.3 RapidMiner Data Science Software Product Features and Attributes
11.5.4 RapidMiner Data Science Software Revenue and Gross Margin (2020-2025)
11.5.5 RapidMiner Data Science Software Revenue by Product in 2024
11.5.6 RapidMiner Data Science Software Revenue by Application in 2024
11.5.7 RapidMiner Data Science Software Revenue by Geographic Area in 2024
11.5.8 RapidMiner Data Science Software SWOT Analysis
11.5.9 RapidMiner Recent Developments
11.6 BigML
11.6.1 BigML Corporation Information
11.6.2 BigML Business Overview
11.6.3 BigML Data Science Software Product Features and Attributes
11.6.4 BigML Data Science Software Revenue and Gross Margin (2020-2025)
11.6.5 BigML Recent Developments
11.7 Minitab
11.7.1 Minitab Corporation Information
11.7.2 Minitab Business Overview
11.7.3 Minitab Data Science Software Product Features and Attributes
11.7.4 Minitab Data Science Software Revenue and Gross Margin (2020-2025)
11.7.5 Minitab Recent Developments
11.8 DataRobot
11.8.1 DataRobot Corporation Information
11.8.2 DataRobot Business Overview
11.8.3 DataRobot Data Science Software Product Features and Attributes
11.8.4 DataRobot Data Science Software Revenue and Gross Margin (2020-2025)
11.8.5 DataRobot Recent Developments
11.9 Altair RapidMiner
11.9.1 Altair RapidMiner Corporation Information
11.9.2 Altair RapidMiner Business Overview
11.9.3 Altair RapidMiner Data Science Software Product Features and Attributes
11.9.4 Altair RapidMiner Data Science Software Revenue and Gross Margin (2020-2025)
11.9.5 Altair RapidMiner Recent Developments
11.10 QlikView
11.10.1 QlikView Corporation Information
11.10.2 QlikView Business Overview
11.10.3 QlikView Data Science Software Product Features and Attributes
11.10.4 QlikView Data Science Software Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
12 Data Science SoftwareIndustry Chain Analysis
12.1 Data Science Software Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Data Science Software Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Data Science Software Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
FEATURED COMPANIES
Matlab
RapidMiner
BigML
Minitab
DataRobot
Altair RapidMiner
IBM SPSS
List of Tables
 Table 1. Global Data Science Software Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Table 2. Global Data Science Software Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Table 3. Global Data Science Software Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 4. Global Data Science Software Revenue by Region (2020-2025) & (US$ Million)
 Table 5. Global Data Science Software Revenue by Region (2026-2031) & (US$ Million)
 Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 7. Global Data Science Software Revenue by Players (2020-2025) & (US$ Million)
 Table 8. Global Data Science Software Revenue Market Share by Players (2020-2025)
 Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
 Table 10. Global Data Science Software by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science Software as of 2024)
 Table 11. Global Data Science Software Average Gross Margin (%) by Player (2020 VS 2024)
 Table 12. Global Data Science Software Companies Headquarters
 Table 13. Global Data Science Software Market Concentration Ratio (CR5 and HHI)
 Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
 Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
 Table 16. Global Data Science Software Revenue by Type (2020-2025) & (US$ Million)
 Table 17. Global Data Science Software Revenue by Type (2026-2031) & (US$ Million)
 Table 18. Key Product Attributes and Differentiation
 Table 19. Global Data Science Software Revenue by Application (2020-2025) & (US$ Million)
 Table 20. Global Data Science Software Revenue by Application (2026-2031) & (US$ Million)
 Table 21. Data Science Software High-Growth Sectors Demand CAGR (2024-2031)
 Table 22. Top Customers by Region
 Table 23. Top Customers by Application
 Table 24. North America Data Science Software Growth Accelerators and Market Barriers
 Table 25. North America Data Science Software Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 26. Europe Data Science Software Growth Accelerators and Market Barriers
 Table 27. Europe Data Science Software Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
 Table 28. Asia-Pacific Data Science Software Growth Accelerators and Market Barriers
 Table 29. Asia-Pacific Data Science Software Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 30. Central and South America Data Science Software Investment Opportunities and Key Challenges
 Table 31. Central and South America Data Science Software Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 32. Middle East and Africa Data Science Software Investment Opportunities and Key Challenges
 Table 33. Middle East and Africa Data Science Software Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 34. IBM SPSS Corporation Information
 Table 35. IBM SPSS Description and Major Businesses
 Table 36. IBM SPSS Product Features and Attributes
 Table 37. IBM SPSS Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 38. IBM SPSS Revenue Proportion by Product in 2024
 Table 39. IBM SPSS Revenue Proportion by Application in 2024
 Table 40. IBM SPSS Revenue Proportion by Geographic Area in 2024
 Table 41. IBM SPSS Data Science Software SWOT Analysis
 Table 42. IBM SPSS Recent Developments
 Table 43. Matlab Corporation Information
 Table 44. Matlab Description and Major Businesses
 Table 45. Matlab Product Features and Attributes
 Table 46. Matlab Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 47. Matlab Revenue Proportion by Product in 2024
 Table 48. Matlab Revenue Proportion by Application in 2024
 Table 49. Matlab Revenue Proportion by Geographic Area in 2024
 Table 50. Matlab Data Science Software SWOT Analysis
 Table 51. Matlab Recent Developments
 Table 52. SAS Corporation Information
 Table 53. SAS Description and Major Businesses
 Table 54. SAS Product Features and Attributes
 Table 55. SAS Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 56. SAS Revenue Proportion by Product in 2024
 Table 57. SAS Revenue Proportion by Application in 2024
 Table 58. SAS Revenue Proportion by Geographic Area in 2024
 Table 59. SAS Data Science Software SWOT Analysis
 Table 60. SAS Recent Developments
 Table 61. Tableau Corporation Information
 Table 62. Tableau Description and Major Businesses
 Table 63. Tableau Product Features and Attributes
 Table 64. Tableau Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 65. Tableau Revenue Proportion by Product in 2024
 Table 66. Tableau Revenue Proportion by Application in 2024
 Table 67. Tableau Revenue Proportion by Geographic Area in 2024
 Table 68. Tableau Data Science Software SWOT Analysis
 Table 69. Tableau Recent Developments
 Table 70. RapidMiner Corporation Information
 Table 71. RapidMiner Description and Major Businesses
 Table 72. RapidMiner Product Features and Attributes
 Table 73. RapidMiner Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 74. RapidMiner Revenue Proportion by Product in 2024
 Table 75. RapidMiner Revenue Proportion by Application in 2024
 Table 76. RapidMiner Revenue Proportion by Geographic Area in 2024
 Table 77. RapidMiner Data Science Software SWOT Analysis
 Table 78. RapidMiner Recent Developments
 Table 79. BigML Corporation Information
 Table 80. BigML Description and Major Businesses
 Table 81. BigML Product Features and Attributes
 Table 82. BigML Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 83. BigML Recent Developments
 Table 84. Minitab Corporation Information
 Table 85. Minitab Description and Major Businesses
 Table 86. Minitab Product Features and Attributes
 Table 87. Minitab Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 88. Minitab Recent Developments
 Table 89. DataRobot Corporation Information
 Table 90. DataRobot Description and Major Businesses
 Table 91. DataRobot Product Features and Attributes
 Table 92. DataRobot Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 93. DataRobot Recent Developments
 Table 94. Altair RapidMiner Corporation Information
 Table 95. Altair RapidMiner Description and Major Businesses
 Table 96. Altair RapidMiner Product Features and Attributes
 Table 97. Altair RapidMiner Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 98. Altair RapidMiner Recent Developments
 Table 99. QlikView Corporation Information
 Table 100. QlikView Description and Major Businesses
 Table 101. QlikView Product Features and Attributes
 Table 102. QlikView Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 103. QlikView Recent Developments
 Table 104. Raw Materials Key Suppliers
 Table 105. Distributors List
 Table 106. Market Trends and Market Evolution
 Table 107. Market Drivers and Opportunities
 Table 108. Market Challenges, Risks, and Restraints
 Table 109. Research Programs/Design for This Report
 Table 110. Key Data Information from Secondary Sources
 Table 111. Key Data Information from Primary Sources


List of Figures
 Figure 1. Data Science Software Product Picture
 Figure 2. Global Data Science Software Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 3. Cloud-based Product Picture
 Figure 4. On-premises Product Picture
 Figure 5. Global Data Science Software Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 6. Large Enterprises
 Figure 7. SMEs
 Figure 8. Data Science Software Report Years Considered
 Figure 9. Global Data Science Software Revenue, (US$ Million), 2020 VS 2024 VS 2031
 Figure 10. Global Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 11. Global Data Science Software Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Figure 12. Global Data Science Software Revenue Market Share by Region (2020-2031)
 Figure 13. Global Data Science Software Revenue Market Share Ranking (2024)
 Figure 14. Tier Distribution by Revenue Contribution (2020 VS 2024)
 Figure 15. Cloud-based Revenue Market Share by Player in 2024
 Figure 16. On-premises Revenue Market Share by Player in 2024
 Figure 17. Global Data Science Software Revenue Market Share by Type (2020-2031)
 Figure 18. Global Data Science Software Revenue Market Share by Application (2020-2031)
 Figure 19. North America Data Science Software Revenue YoY (2020-2031) & (US$ Million)
 Figure 20. North America Top 5 Players Data Science Software Revenue (US$ Million) in 2024
 Figure 21. North America Data Science Software Revenue (US$ Million) by Type (2020 - 2031)
 Figure 22. North America Data Science Software Revenue (US$ Million) by Application (2020-2031)
 Figure 23. US Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 24. Canada Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 25. Mexico Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 26. Europe Data Science Software Revenue YoY (2020-2031) & (US$ Million)
 Figure 27. Europe Top 5 Players Data Science Software Revenue (US$ Million) in 2024
 Figure 28. Europe Data Science Software Revenue (US$ Million) by Type (2020-2031)
 Figure 29. Europe Data Science Software Revenue (US$ Million) by Application (2020-2031)
 Figure 30. Germany Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 31. France Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 32. U.K. Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 33. Italy Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 34. Russia Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 35. Asia-Pacific Data Science Software Revenue YoY (2020-2031) & (US$ Million)
 Figure 36. Asia-Pacific Top 8 Players Data Science Software Revenue (US$ Million) in 2024
 Figure 37. Asia-Pacific Data Science Software Revenue (US$ Million) by Type (2020-2031)
 Figure 38. Asia-Pacific Data Science Software Revenue (US$ Million) by Application (2020-2031)
 Figure 39. Indonesia Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 40. Japan Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 41. South Korea Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 42. Australia Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 43. India Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 44. Indonesia Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 45. Vietnam Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 46. Malaysia Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 47. Philippines Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 48. Singapore Data Science Software Revenue (2020-2031) & (US$ Million)
 Figure 49. Central and South America Data Science Software Revenue YoY (2020-2031) & (US$ Million)
 Figure 50. Central and South America Top 5 Players Data Science Software Revenue (US$ Million) in 2024
 Figure 51. Central and South America Data Science Software Revenue (US$ Million) by Type (2020-2031)
 Figure 52. Central and South America Data Science Software Revenue (US$ Million) by Application (2020-2031)
 Figure 53. Brazil Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 54. Argentina Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 55. Middle East and Africa Data Science Software Revenue YoY (2020-2031) & (US$ Million)
 Figure 56. Middle East and Africa Top 5 Players Data Science Software Revenue (US$ Million) in 2024
 Figure 57. South America Data Science Software Revenue (US$ Million) by Type (2020-2031)
 Figure 58. Middle East and Africa Data Science Software Revenue (US$ Million) by Application (2020-2031)
 Figure 59. GCC Countries Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 60. Israel Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 61. Egypt Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 62. South Africa Data Science Software Revenue (2020-2025) & (US$ Million)
 Figure 63. Data Science Software Industry Chain Mapping
 Figure 64. Channels of Distribution (Direct Vs Distribution)
 Figure 65. Bottom-up and Top-down Approaches for This Report
 Figure 66. Data Triangulation
 Figure 67. Key Executives Interviewed
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