Global Data Science Platform Market By Component (Platform, Services), By Application (Marketing & Sales, Logistics, Finance and Accounting, Customer Support, Others), By Industry Vertical (BFSI, Retail and E-Commerce, IT and Telecom, Transportation, Heal

Global Data Science Platform Market By Component (Platform, Services), By Application (Marketing & Sales, Logistics, Finance and Accounting, Customer Support, Others), By Industry Vertical (BFSI, Retail and E-Commerce, IT and Telecom, Transportation, Healthcare, Manufacturing, Others): Global Opportunity Analysis and Industry Forecast, 2020-2030

Data science platform is a packaged software application that provides the tools for the entire life cycle of a data science project. Data science platforms are indispensables tools for data scientists. It enables data exploration, model development, and model distribution. It facilitates data preparation and data visualization while providing a large-scale computing infrastructure. Data science platforms help users collaborate by providing a centralized platform. They serve as a one-stop shop for data modeling because data science platforms contain the APIs to allow for model production and testing with minimal outside engineering needs.

Increase in reliance on machine learning creates a need for data science platforms that fulfill needs in building, training, scaling, and deploying machine learning (ML) models. The proper platforms and technologies enable breakthroughs in data science. In addition, machine learning and artificial intelligence are driving innovations in data science and data management. The advancement of big data technology and importance of collecting and using data for decision making are anticipated to drive the market growth during the forecast period. However, high investment cost, data privacy & security, and reliability issues observed by the employees hamper the market growth. Moreover, adoption of cloud-based solutions & services and targeting untapped and emerging market for data science platforms are expected to provide ample growth opportunities for the market during forecast period.      

Data science platform market is segmented on the basis of component, application, industry vertical, and region. On the basis of component, it is divided into platform and services. On the basis of application, it is divided into marketing & sales, logistics, finance and accounting, customer support, and others. According to the industry vertical, it is segmented into BFSI, IT & telecommunication, retail & E-Commerce, healthcare, transportation, manufacturing and others). Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The global data science platform market is dominated by key players such as Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku, Alteryx, Inc., FICO, The MathWorks, Inc., and Teradata.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the Data science platform market along with current trends and future estimations to elucidate imminent investment pockets.
Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of Data science platform market for the period 2020–2030 is provided to determine the market potential.

Key Market Segments


By Component

Platform
Services

By Application

Marketing Sales
Logistics
Finance and Accounting
Customer Support
Others

By Industry Vertical

BFSI
Retail and E-Commerce
IT and Telecom
Transportation
Healthcare
Manufacturing
Others

By Region

North America
U.S.
Canada
Europe
U.K.
Germany
France
Spain
Italy
Rest of Europe
Asia-Pacific
China
India
Japan
Australia
South Korea
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

Key Market Players

MICROSOFT CORPORATION
SAS INSTITUTE INC.
FAIR ISSAC CORPORATION (FICO)
INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION)
SAP SE
TERADATA CORPORATION
ALTREYX, INC.
DATAIKU SAS
RAPIDMINER INC
THE MATHWORKS INC


CHAPTER 1:INTRODUCTION
1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools and models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings of the study
2.2.CXO Perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key findings
3.2.1.Top investment pockets
3.3.Porter’s five forces analysis
3.4.Top player positioning
3.5.Market dynamics
3.5.1.Drivers
3.5.2.Restraints
3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market
3.7.Regulatory Guidelines
3.8.Key Regulation Analysis
3.9.Patent Landscape
CHAPTER 4: GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Platform
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market analysis by country
CHAPTER 5: GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION
5.1 Overview
5.1.1 Market size and forecast
5.2 Marketing & Sales
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market analysis by country
5.3 Logistics
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market analysis by country
5.4 Finance and Accounting
5.4.1 Key market trends, growth factors and opportunities
5.4.2 Market size and forecast, by region
5.4.3 Market analysis by country
5.5 Customer Support
5.5.1 Key market trends, growth factors and opportunities
5.5.2 Market size and forecast, by region
5.5.3 Market analysis by country
5.6 Others
5.6.1 Key market trends, growth factors and opportunities
5.6.2 Market size and forecast, by region
5.6.3 Market analysis by country
CHAPTER 6: GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL
6.1 Overview
6.1.1 Market size and forecast
6.2 BFSI
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market analysis by country
6.3 Retail and E-Commerce
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market analysis by country
6.4 IT and Telecom
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market analysis by country
6.5 Transportation
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market analysis by country
6.6 Healthcare
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market analysis by country
6.7 Manufacturing
6.7.1 Key market trends, growth factors and opportunities
6.7.2 Market size and forecast, by region
6.7.3 Market analysis by country
6.8 Others
6.8.1 Key market trends, growth factors and opportunities
6.8.2 Market size and forecast, by region
6.8.3 Market analysis by country
CHAPTER 7: GLOBAL DATA SCIENCE PLATFORM MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast
7.2 North America
7.2.1 Key trends and opportunities
7.2.2 North America Market size and forecast, by Component
7.2.3 North America Market size and forecast, by Application
7.2.4 North America Market size and forecast, by Industry Vertical
7.2.5 North America Market size and forecast, by country
7.2.5.1 U.S.
7.2.5.1.1 Market size and forecast, by Component
7.2.5.1.2 Market size and forecast, by Application
7.2.5.1.3 Market size and forecast, by Industry Vertical
7.2.5.2 Canada
7.2.5.2.1 Market size and forecast, by Component
7.2.5.2.2 Market size and forecast, by Application
7.2.5.2.3 Market size and forecast, by Industry Vertical
7.3 Europe
7.3.1 Key trends and opportunities
7.3.2 Europe Market size and forecast, by Component
7.3.3 Europe Market size and forecast, by Application
7.3.4 Europe Market size and forecast, by Industry Vertical
7.3.5 Europe Market size and forecast, by country
7.3.5.1 U.K.
7.3.5.1.1 Market size and forecast, by Component
7.3.5.1.2 Market size and forecast, by Application
7.3.5.1.3 Market size and forecast, by Industry Vertical
7.3.5.2 Germany
7.3.5.2.1 Market size and forecast, by Component
7.3.5.2.2 Market size and forecast, by Application
7.3.5.2.3 Market size and forecast, by Industry Vertical
7.3.5.3 France
7.3.5.3.1 Market size and forecast, by Component
7.3.5.3.2 Market size and forecast, by Application
7.3.5.3.3 Market size and forecast, by Industry Vertical
7.3.5.4 Spain
7.3.5.4.1 Market size and forecast, by Component
7.3.5.4.2 Market size and forecast, by Application
7.3.5.4.3 Market size and forecast, by Industry Vertical
7.3.5.5 Italy
7.3.5.5.1 Market size and forecast, by Component
7.3.5.5.2 Market size and forecast, by Application
7.3.5.5.3 Market size and forecast, by Industry Vertical
7.3.5.6 Rest of Europe
7.3.5.6.1 Market size and forecast, by Component
7.3.5.6.2 Market size and forecast, by Application
7.3.5.6.3 Market size and forecast, by Industry Vertical
7.4 Asia-Pacific
7.4.1 Key trends and opportunities
7.4.2 Asia-Pacific Market size and forecast, by Component
7.4.3 Asia-Pacific Market size and forecast, by Application
7.4.4 Asia-Pacific Market size and forecast, by Industry Vertical
7.4.5 Asia-Pacific Market size and forecast, by country
7.4.5.1 China
7.4.5.1.1 Market size and forecast, by Component
7.4.5.1.2 Market size and forecast, by Application
7.4.5.1.3 Market size and forecast, by Industry Vertical
7.4.5.2 India
7.4.5.2.1 Market size and forecast, by Component
7.4.5.2.2 Market size and forecast, by Application
7.4.5.2.3 Market size and forecast, by Industry Vertical
7.4.5.3 Japan
7.4.5.3.1 Market size and forecast, by Component
7.4.5.3.2 Market size and forecast, by Application
7.4.5.3.3 Market size and forecast, by Industry Vertical
7.4.5.4 Australia
7.4.5.4.1 Market size and forecast, by Component
7.4.5.4.2 Market size and forecast, by Application
7.4.5.4.3 Market size and forecast, by Industry Vertical
7.4.5.5 South Korea
7.4.5.5.1 Market size and forecast, by Component
7.4.5.5.2 Market size and forecast, by Application
7.4.5.5.3 Market size and forecast, by Industry Vertical
7.4.5.6 Rest of Asia-Pacific
7.4.5.6.1 Market size and forecast, by Component
7.4.5.6.2 Market size and forecast, by Application
7.4.5.6.3 Market size and forecast, by Industry Vertical
7.5 LAMEA
7.5.1 Key trends and opportunities
7.5.2 LAMEA Market size and forecast, by Component
7.5.3 LAMEA Market size and forecast, by Application
7.5.4 LAMEA Market size and forecast, by Industry Vertical
7.5.5 LAMEA Market size and forecast, by country
7.5.5.1 Latin America
7.5.5.1.1 Market size and forecast, by Component
7.5.5.1.2 Market size and forecast, by Application
7.5.5.1.3 Market size and forecast, by Industry Vertical
7.5.5.2 Middle East
7.5.5.2.1 Market size and forecast, by Component
7.5.5.2.2 Market size and forecast, by Application
7.5.5.2.3 Market size and forecast, by Industry Vertical
7.5.5.3 Africa
7.5.5.3.1 Market size and forecast, by Component
7.5.5.3.2 Market size and forecast, by Application
7.5.5.3.3 Market size and forecast, by Industry Vertical
CHAPTER 8: COMPANY LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Player
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Key developments
CHAPTER 9: COMPANY PROFILES
9.1 MICROSOFT CORPORATION
9.1.1 Company overview
9.1.2 Company snapshot
9.1.3 Operating business segments
9.1.4 Product portfolio
9.1.5 Business performance
9.1.6 Key strategic moves and developments
9.2 SAS INSTITUTE INC.
9.2.1 Company overview
9.2.2 Company snapshot
9.2.3 Operating business segments
9.2.4 Product portfolio
9.2.5 Business performance
9.2.6 Key strategic moves and developments
9.3 FAIR ISSAC CORPORATION (FICO)
9.3.1 Company overview
9.3.2 Company snapshot
9.3.3 Operating business segments
9.3.4 Product portfolio
9.3.5 Business performance
9.3.6 Key strategic moves and developments
9.4 INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION)
9.4.1 Company overview
9.4.2 Company snapshot
9.4.3 Operating business segments
9.4.4 Product portfolio
9.4.5 Business performance
9.4.6 Key strategic moves and developments
9.5 SAP SE
9.5.1 Company overview
9.5.2 Company snapshot
9.5.3 Operating business segments
9.5.4 Product portfolio
9.5.5 Business performance
9.5.6 Key strategic moves and developments
9.6 TERADATA CORPORATION
9.6.1 Company overview
9.6.2 Company snapshot
9.6.3 Operating business segments
9.6.4 Product portfolio
9.6.5 Business performance
9.6.6 Key strategic moves and developments
9.7 ALTREYX, INC.
9.7.1 Company overview
9.7.2 Company snapshot
9.7.3 Operating business segments
9.7.4 Product portfolio
9.7.5 Business performance
9.7.6 Key strategic moves and developments
9.8 DATAIKU SAS
9.8.1 Company overview
9.8.2 Company snapshot
9.8.3 Operating business segments
9.8.4 Product portfolio
9.8.5 Business performance
9.8.6 Key strategic moves and developments
9.9 RAPIDMINER INC
9.9.1 Company overview
9.9.2 Company snapshot
9.9.3 Operating business segments
9.9.4 Product portfolio
9.9.5 Business performance
9.9.6 Key strategic moves and developments
9.10 THE MATHWORKS INC
9.10.1 Company overview
9.10.2 Company snapshot
9.10.3 Operating business segments
9.10.4 Product portfolio
9.10.5 Business performance
9.10.6 Key strategic moves and developments
LIST OF TABLES
TABLE 1. GLOBAL GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 2. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR PLATFORM, BY REGION , 2020-2030,($MILLION)
TABLE 3. GLOBAL DATA SCIENCE PLATFORM MARKET PLATFORM BY COUNTRY, 2020-2030,($MILLION)
TABLE 4. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR SERVICES, BY REGION , 2020-2030,($MILLION)
TABLE 5. GLOBAL DATA SCIENCE PLATFORM MARKET SERVICES BY COUNTRY, 2020-2030,($MILLION)
TABLE 6. GLOBAL GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION, 2020-2030,($MILLION)
TABLE 7. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR MARKETING & SALES, BY REGION , 2020-2030,($MILLION)
TABLE 8. GLOBAL DATA SCIENCE PLATFORM MARKET MARKETING & SALES BY COUNTRY, 2020-2030,($MILLION)
TABLE 9. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR LOGISTICS, BY REGION , 2020-2030,($MILLION)
TABLE 10. GLOBAL DATA SCIENCE PLATFORM MARKET LOGISTICS BY COUNTRY, 2020-2030,($MILLION)
TABLE 11. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR FINANCE AND ACCOUNTING, BY REGION , 2020-2030,($MILLION)
TABLE 12. GLOBAL DATA SCIENCE PLATFORM MARKET FINANCE AND ACCOUNTING BY COUNTRY, 2020-2030,($MILLION)
TABLE 13. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR CUSTOMER SUPPORT, BY REGION , 2020-2030,($MILLION)
TABLE 14. GLOBAL DATA SCIENCE PLATFORM MARKET CUSTOMER SUPPORT BY COUNTRY, 2020-2030,($MILLION)
TABLE 15. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR OTHERS, BY REGION , 2020-2030,($MILLION)
TABLE 16. GLOBAL DATA SCIENCE PLATFORM MARKET OTHERS BY COUNTRY, 2020-2030,($MILLION)
TABLE 17. GLOBAL GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 18. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR BFSI, BY REGION , 2020-2030,($MILLION)
TABLE 19. GLOBAL DATA SCIENCE PLATFORM MARKET BFSI BY COUNTRY, 2020-2030,($MILLION)
TABLE 20. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR RETAIL AND E-COMMERCE, BY REGION , 2020-2030,($MILLION)
TABLE 21. GLOBAL DATA SCIENCE PLATFORM MARKET RETAIL AND E-COMMERCE BY COUNTRY, 2020-2030,($MILLION)
TABLE 22. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR IT AND TELECOM, BY REGION , 2020-2030,($MILLION)
TABLE 23. GLOBAL DATA SCIENCE PLATFORM MARKET IT AND TELECOM BY COUNTRY, 2020-2030,($MILLION)
TABLE 24. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR TRANSPORTATION, BY REGION , 2020-2030,($MILLION)
TABLE 25. GLOBAL DATA SCIENCE PLATFORM MARKET TRANSPORTATION BY COUNTRY, 2020-2030,($MILLION)
TABLE 26. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR HEALTHCARE, BY REGION , 2020-2030,($MILLION)
TABLE 27. GLOBAL DATA SCIENCE PLATFORM MARKET HEALTHCARE BY COUNTRY, 2020-2030,($MILLION)
TABLE 28. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR MANUFACTURING, BY REGION , 2020-2030,($MILLION)
TABLE 29. GLOBAL DATA SCIENCE PLATFORM MARKET MANUFACTURING BY COUNTRY, 2020-2030,($MILLION)
TABLE 30. GLOBAL DATA SCIENCE PLATFORM MARKET REVENUE, FOR OTHERS, BY REGION , 2020-2030,($MILLION)
TABLE 31. GLOBAL DATA SCIENCE PLATFORM MARKET OTHERS BY COUNTRY, 2020-2030,($MILLION)
TABLE 32. GLOBAL DATA SCIENCE PLATFORM MARKET, BY REGION, 2020-2030,($MILLION)
TABLE 33. NORTH AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 34. NORTH AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION, 2020-2030,($MILLION)
TABLE 35. NORTH AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 36. NORTH AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 37. U.S. GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 38. U.S. GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 39. U.S. GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 40. CANADA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 41. CANADA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 42. CANADA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 43. EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 44. EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION, 2020-2030,($MILLION)
TABLE 45. EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 46. EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 47. U.K. GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 48. U.K. GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 49. U.K. GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 50. GERMANY GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 51. GERMANY GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 52. GERMANY GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 53. FRANCE GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 54. FRANCE GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 55. FRANCE GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 56. SPAIN GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 57. SPAIN GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 58. SPAIN GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 59. ITALY GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 60. ITALY GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 61. ITALY GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 62. REST OF EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 63. REST OF EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 64. REST OF EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 65. ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 66. ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION, 2020-2030,($MILLION)
TABLE 67. ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 68. ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 69. CHINA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 70. CHINA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 71. CHINA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 72. INDIA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 73. INDIA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 74. INDIA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 75. JAPAN GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 76. JAPAN GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 77. JAPAN GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 78. AUSTRALIA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 79. AUSTRALIA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 80. AUSTRALIA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 81. SOUTH KOREA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 82. SOUTH KOREA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 83. SOUTH KOREA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 84. REST OF ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 85. REST OF ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 86. REST OF ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 87. LAMEA GLOBAL DATA SCIENCE PLATFORM MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 88. LAMEA GLOBAL DATA SCIENCE PLATFORM MARKET, BY APPLICATION, 2020-2030,($MILLION)
TABLE 89. LAMEA GLOBAL DATA SCIENCE PLATFORM MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 90. LAMEA GLOBAL DATA SCIENCE PLATFORM MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 91. LATIN AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 92. LATIN AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 93. LATIN AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 94. MIDDLE EAST GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 95. MIDDLE EAST GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 96. MIDDLE EAST GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 97. AFRICA GLOBAL DATA SCIENCE PLATFORM MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 98. AFRICA GLOBAL DATA SCIENCE PLATFORM MARKET BY APPLICATION 2020-2030,($MILLION)
TABLE 99. AFRICA GLOBAL DATA SCIENCE PLATFORM MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 100.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 101.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 102.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 103.MICROSOFT CORPORATION: NET SALES,
TABLE 104.MICROSOFT CORPORATION: KEY STRATERGIES
TABLE 105.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 106.SAS INSTITUTE INC.: OPERATING SEGMENTS
TABLE 107.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 108.SAS INSTITUTE INC.: NET SALES,
TABLE 109.SAS INSTITUTE INC.: KEY STRATERGIES
TABLE 110.FAIR ISSAC CORPORATION (FICO): COMPANY SNAPSHOT
TABLE 111.FAIR ISSAC CORPORATION (FICO): OPERATING SEGMENTS
TABLE 112.FAIR ISSAC CORPORATION (FICO): PRODUCT PORTFOLIO
TABLE 113.FAIR ISSAC CORPORATION (FICO): NET SALES,
TABLE 114.FAIR ISSAC CORPORATION (FICO): KEY STRATERGIES
TABLE 115.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION): COMPANY SNAPSHOT
TABLE 116.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION): OPERATING SEGMENTS
TABLE 117.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION): PRODUCT PORTFOLIO
TABLE 118.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION): NET SALES,
TABLE 119.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION): KEY STRATERGIES
TABLE 120.SAP SE: COMPANY SNAPSHOT
TABLE 121.SAP SE: OPERATING SEGMENTS
TABLE 122.SAP SE: PRODUCT PORTFOLIO
TABLE 123.SAP SE: NET SALES,
TABLE 124.SAP SE: KEY STRATERGIES
TABLE 125.TERADATA CORPORATION: COMPANY SNAPSHOT
TABLE 126.TERADATA CORPORATION: OPERATING SEGMENTS
TABLE 127.TERADATA CORPORATION: PRODUCT PORTFOLIO
TABLE 128.TERADATA CORPORATION: NET SALES,
TABLE 129.TERADATA CORPORATION: KEY STRATERGIES
TABLE 130.ALTREYX, INC.: COMPANY SNAPSHOT
TABLE 131.ALTREYX, INC.: OPERATING SEGMENTS
TABLE 132.ALTREYX, INC.: PRODUCT PORTFOLIO
TABLE 133.ALTREYX, INC.: NET SALES,
TABLE 134.ALTREYX, INC.: KEY STRATERGIES
TABLE 135.DATAIKU SAS: COMPANY SNAPSHOT
TABLE 136.DATAIKU SAS: OPERATING SEGMENTS
TABLE 137.DATAIKU SAS: PRODUCT PORTFOLIO
TABLE 138.DATAIKU SAS: NET SALES,
TABLE 139.DATAIKU SAS: KEY STRATERGIES
TABLE 140.RAPIDMINER INC: COMPANY SNAPSHOT
TABLE 141.RAPIDMINER INC: OPERATING SEGMENTS
TABLE 142.RAPIDMINER INC: PRODUCT PORTFOLIO
TABLE 143.RAPIDMINER INC: NET SALES,
TABLE 144.RAPIDMINER INC: KEY STRATERGIES
TABLE 145.THE MATHWORKS INC: COMPANY SNAPSHOT
TABLE 146.THE MATHWORKS INC: OPERATING SEGMENTS
TABLE 147.THE MATHWORKS INC: PRODUCT PORTFOLIO
TABLE 148.THE MATHWORKS INC: NET SALES,
TABLE 149.THE MATHWORKS INC: KEY STRATERGIES
LIST OF FIGURES
FIGURE 1.GLOBAL DATA SCIENCE PLATFORM MARKET SEGMENTATION
FIGURE 2.GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030
FIGURE 3.GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030
FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
FIGURE 5.PORTER FIVE-1
FIGURE 6.PORTER FIVE-2
FIGURE 7.PORTER FIVE-3
FIGURE 8.PORTER FIVE-4
FIGURE 9.PORTER FIVE-5
FIGURE 10.TOP PLAYER POSITIONING
FIGURE 11.GLOBAL DATA SCIENCE PLATFORM MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 12.REGULATORY GUIDELINES
FIGURE 13.KEY REGULATION ANALYSIS
FIGURE 14.PATENT ANALYSIS BY COMPANY
FIGURE 15.PATENT ANALYSIS BY COUNTRY
FIGURE 16.GLOBAL DATA SCIENCE PLATFORM MARKET,BY COMPONENT,2020(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF PLATFORM GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF SERVICES GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 19.GLOBAL DATA SCIENCE PLATFORM MARKET,BY APPLICATION,2020(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF MARKETING & SALES GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF LOGISTICS GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF FINANCE AND ACCOUNTING GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF CUSTOMER SUPPORT GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF OTHERS GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 25.GLOBAL DATA SCIENCE PLATFORM MARKET,BY INDUSTRY VERTICAL,2020(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF BFSI GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF RETAIL AND E-COMMERCE GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF IT AND TELECOM GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF TRANSPORTATION GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF HEALTHCARE GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF MANUFACTURING GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF OTHERS GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030(%)
FIGURE 33.GLOBAL DATA SCIENCE PLATFORM MARKET BY REGION,2020
FIGURE 34.U.S. GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 35.CANADA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 36.U.K. GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 37.GERMANY GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 38.FRANCE GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 39.SPAIN GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 40.ITALY GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 41.REST OF EUROPE GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 42.CHINA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 43.INDIA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 44.JAPAN GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 45.AUSTRALIA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 46.SOUTH KOREA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 47.REST OF ASIA-PACIFIC GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 48.LATIN AMERICA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 49.MIDDLE EAST GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 50.AFRICA GLOBAL DATA SCIENCE PLATFORM MARKET,2020-2030($MILLION)
FIGURE 51. TOP WINNING STRATEGIES, BY YEAR
FIGURE 52. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 53. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 54.PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 55.COMPETITIVE DASHBOARD
FIGURE 56.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
FIGURE 57.MICROSOFT CORPORATION.: NET SALES ,($MILLION)
FIGURE 58.SAS INSTITUTE INC..: NET SALES ,($MILLION)
FIGURE 59.FAIR ISSAC CORPORATION (FICO).: NET SALES ,($MILLION)
FIGURE 60.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION).: NET SALES ,($MILLION)
FIGURE 61.SAP SE.: NET SALES ,($MILLION)
FIGURE 62.TERADATA CORPORATION.: NET SALES ,($MILLION)
FIGURE 63.ALTREYX, INC..: NET SALES ,($MILLION)
FIGURE 64.DATAIKU SAS.: NET SALES ,($MILLION)
FIGURE 65.RAPIDMINER INC.: NET SALES ,($MILLION)
FIGURE 66.THE MATHWORKS INC.: NET SALES ,($MILLION)

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