Data Science Platform Market by Component (Platform and Services), Business Function (Marketing, Sales, Logistics, and Customer Support), Deployment Mode (On-Premises and Cloud), Organization Size, Industry Vertical, and Region - Global Forecast to 2024

Abstract
Apex Market Research has published a new report titled ”Global Data Science Platform Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global Data Science Platform market is estimated to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a CAGR of 30%. The report offers in-depth insights, revenue details, and other vital information regarding the global Data Science Platform market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the Data Science Platform market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global Data Science Platform market report offers in-depth insights, revenue details, and other vital information regarding the global Data Science Platform market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of Data Science Platform market. The major players operating into Data Science Platform Market include: IBM Corporation (US)
Microsoft Corporation (US)
Alphabet Inc. (Google) (US)
Altair Engineering
Inc. (US)
Alteryx
Inc. (US)
MathWorks  (Australia)
SAS Institute Inc. (US)
RapidMiner
Inc. (US)
Cloudera
Inc. (US)
Anaconda
Inc. (US)
Wolfram (US)
Dataiku (US)
Civis Analytics (US)
H2O.ai. (US)
Domino Data Lab
Inc. (US)
RStudio
Inc. (US)
Rapid Insight (US)
DataRobot
Inc. (US)
Rexer Analytics (US)
SAP (Germany)
and Databricks (US) Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Million (USD)
Covered Segments Components, Industry Verticals, Deployment Modes, Business Functions, Organization size, and Regions
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the Data Science Platform market to forecast revenues and analyze trends in each of the following submarkets:

Based on components, the data science platform market has the following segments:

  • Platform
  • Services
    • Managed Services
    • Professional Services
  • Training and Consulting
  • Integration and Deployment
  • Support and Maintenance

Based on industry verticals, the market has the following segments:

  • Banking, Financial Services, and Insurance (BFSI)
  • Telecom and IT
  • Retail and eCommerce
  • Healthcare and Life sciences
  • Manufacturing
  • Energy and Utilities
  • Media and Entertainment
  • Transportation and Logistics
  • Government
  • Others (travel and hospitality, education, and research)

Based on deployment modes, the market has the following segments:

  • Cloud
  • On-premises

Based on business functions, the data science platform market has the following segments:

  • Marketing
  • Sales
  • Logistics
  • Finance and Accounting
  • Customer Support
  • Others (operation and HR)

Based on organization size, the market has the following segments:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises
By geography, this market has been segregated into five regions with revenue and growth rate of Data Science Platform from 2020 to 2027,
There are 13 chapters to put on view for Data Science Platform Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: Data Science Platform Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 Data Science Platform Market Overview 1.1.1 Data Science Platform Product Scope 1.1.2 Market Status and Outlook 1.2 Global Data Science Platform Market Size and Analysis by Regions (2015-2019) 1.2.1 North America Data Science Platform Market Status and Outlook 1.2.2 EU Data Science Platform Market Status and Outlook 1.2.3 Japan Data Science Platform Market Status and Outlook 1.2.4 China Data Science Platform Market Status and Outlook 1.2.5 India Data Science Platform Market Status and Outlook 1.2.6 Southeast Asia Data Science Platform Market Status and Outlook 1.3 Global Data Science Platform Market Segment Based on components, the data science platform market has the following segments:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.1 Platform
1.3.1.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Services
1.3.2.1 Managed Services
1.3.2.2 Professional Services
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.3.2.2 Training and Consulting
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.3.2.2 Integration and Deployment
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.3.2.2 Support and Maintenance
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.4 Global Data Science Platform Market Segment Based on industry verticals, the market has the following segments:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.1 Banking, Financial Services, and Insurance (BFSI)
1.4.1.1 Market Estimates And Forecast By Country, 2015-2027
1.4.2 Telecom and IT
1.4.2.1 Market Estimates And Forecast By Country, 2015-2027
1.4.3 Retail and eCommerce
1.4.3.1 Market Estimates And Forecast By Country, 2015-2027
1.4.4 Healthcare and Life sciences
1.4.4.1 Market Estimates And Forecast By Country, 2015-2027
1.4.5 Manufacturing
1.4.5.1 Market Estimates And Forecast By Country, 2015-2027
1.4.6 Energy and Utilities
1.4.6.1 Market Estimates And Forecast By Country, 2015-2027
1.4.7 Media and Entertainment
1.4.7.1 Market Estimates And Forecast By Country, 2015-2027
1.4.8 Transportation and Logistics
1.4.8.1 Market Estimates And Forecast By Country, 2015-2027
1.4.9 Government
1.4.9.1 Market Estimates And Forecast By Country, 2015-2027
1.4.10 Others (travel and hospitality, education, and research)
1.4.10.1 Market Estimates And Forecast By Country, 2015-2027
1.5 Global Data Science Platform Market Segment Based on deployment modes, the market has the following segments:
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 Cloud
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 On-premises
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6 Global Data Science Platform Market Segment Based on business functions, the data science platform market has the following segments:
1.6.1 Introduction
1.6.1.1 Market Estimates And Forecast 2015-2027
1.6.1 Marketing
1.6.1.1 Market Estimates And Forecast By Country, 2015-2027
1.6.2 Sales
1.6.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6.3 Logistics
1.6.3.1 Market Estimates And Forecast By Country, 2015-2027
1.6.4 Finance and Accounting
1.6.4.1 Market Estimates And Forecast By Country, 2015-2027
1.6.5 Customer Support
1.6.5.1 Market Estimates And Forecast By Country, 2015-2027
1.6.6 Others (operation and HR)
1.6.6.1 Market Estimates And Forecast By Country, 2015-2027
1.7 Global Data Science Platform Market Segment Based on organization size, the market has the following segments:
1.7.1 Introduction
1.7.1.1 Market Estimates And Forecast 2015-2027
1.7.1 Small and Medium-sized Enterprises (SMEs)
1.7.1.1 Market Estimates And Forecast By Country, 2015-2027
1.7.2 Large Enterprises
1.7.2.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global Data Science Platform Competition Analysis by Players 2.1 Global Data Science Platform Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1 IBM Corporation (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 IBM Corporation (US), Data Science Platform Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 Microsoft Corporation (US) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 Microsoft Corporation (US), Data Science Platform Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 Alphabet Inc. (Google) (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 Alphabet Inc. (Google) (US), Data Science Platform Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 Altair Engineering 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 Altair Engineering, Data Science Platform Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 Inc. (US) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 Inc. (US), Data Science Platform Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 Alteryx 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 Alteryx, Data Science Platform Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 Inc. (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 Inc. (US), Data Science Platform Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 MathWorks  (Australia) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 MathWorks  (Australia), Data Science Platform Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 SAS Institute Inc. (US) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 SAS Institute Inc. (US), Data Science Platform Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 RapidMiner 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 RapidMiner, Data Science Platform Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global Data Science Platform Market Size Type (2015-2019) 4.1 Global Data Science Platform Market Size by Type (2015-2019) Chapter 5 Global Data Science Platform Market Size Application (2015-2019) 5.1 Global Data Science Platform Market Size by Application (2015-2019) 5.2 Potential Application of Data Science Platform in Future 5.3 Top Consumer / End Users of Data Science Platform Chapter 6 North America Data Science Platform Development Status and Outlook 6.1 North America Data Science Platform Market Size (2015-2019) 6.2 North America Data Science Platform Market Size by Application (2015-2019) Chapter 7 EU Data Science Platform Development Status and Outlook 7.1 EU Data Science Platform Market Size (2015-2019) 7.2 EU Data Science Platform Market Size by Application (2015-2019) Chapter 8 Japan Data Science Platform Development Status and Outlook 8.1 Japan Data Science Platform Market Size (2015-2019) 8.2 Japan Data Science Platform Market Size by Application (2015-2019) Chapter 9 China Data Science Platform Development Status and Outlook 9.1 China Data Science Platform Market Size and Forecast (2015-2019) 9.2 China Data Science Platform Market Size by Application (2015-2019) Chapter 10 India Data Science Platform Development Status and Outlook 10.1 India Data Science Platform Market Size and Forecast (2015-2019) 10.2 India Data Science Platform Market Size by Application (2015-2019) Chapter 11 Southeast Asia Data Science Platform Development Status and Outlook 11.1 Southeast Asia Data Science Platform Market Size and Forecast (2015-2019) 11.2 Southeast Asia Data Science Platform Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global Data Science Platform Market Size (Million USD) by Regions (2020-2027) 12.1. North America Data Science Platform Revenue and Growth Rate (2020-2027) 12.1.2 EU Data Science Platform Revenue and Growth Rate (2020-2027) 12.1.3 China Data Science Platform Revenue and Growth Rate (2020-2027) 12.1.4 Japan Data Science Platform Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia Data Science Platform Revenue and Growth Rate (2020-2027) 12.1.6 India Data Science Platform Revenue and Growth Rate (2020-2027) 12.2 Global Data Science Platform Market Size by Application (2020-2027) Chapter 13 Data Science Platform Market Dynamics 13.1 Data Science Platform Market Opportunities 13.2 Data Science Platform Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 Data Science Platform Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 Data Science Platform Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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