Press release
Data Science Platform Market Size 2019 by Top Key Players and Application with Trend and Growth by Microsoft , IBM , Google , Wolfram , Datarobot , Cloudera , Rapidminer
In 2017, the global Data Science Platform market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 28.9% during 2018-2025.This report studies the global Data Science Platform market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Data Science Platform market by companies, region, type and end-use industry.
In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).
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The key players covered in this study
• Microsoft
• IBM
• Wolfram
• Datarobot
• Cloudera
• Rapidminer
• Domino Data Lab
• Dataiku
• Alteryx
• Continuum Analytics
• Bridgei2i Analytics
• Datarpm
• Rexer Analytics
• Feature Labs
Market segment by Type, the product can be split into
• On-Premises
• On-Demand
Market segment by Application, split into
• Marketing
• Sales
• Logistics
• Risk
• Customer Support
• Human Resources
• Operations
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Table of contents:
1 Industry Overview of Data Science Platform
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 (2013-2018)
1.2.1 United States
1.2.2 Europe
1.2.3 China
1.2.4 Japan
1.2.5 Southeast Asia
1.2.6 India
1.3 Data Science Platform Market by Type
1.3.1 On-Premises
1.3.2 On-Demand
1.4 Data Science Platform Market by End Users/Application
1.4.1 Marketing
1.4.2 Sales
1.4.3 Logistics
1.4.4 Risk
1.4.5 Customer Support
1.4.6 Human Resources
1.4.7 Operations
2 Global Data Science Platform Competition Analysis by Players
2.1 Data Science Platform Market Size (Value) by Players (2013-2018)
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
3 Company (Top Players) Profiles
3.1 Microsoft
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Data Science Platform Revenue (Million USD) (2013-2018)
3.2 IBM
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Data Science Platform Revenue (Million USD) (2013-2018)
3.3 Google
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Data Science Platform Revenue (Million USD) (2013-2018)
3.4 Wolfram
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Data Science Platform Revenue (Million USD) (2013-2018)
3.5 Datarobot
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Data Science Platform Revenue (Million USD) (2013-2018)
TOC continued…!
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