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Data Science Platform Market Expected to grow at a CAGR of 28.9% and Analysis By Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx
Data Science Platform Market
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 on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data.
The key players covered in this study
Microsoft
IBM
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx and more….
This of report focuses on the Data Science Platform Market in global market, especially in United States, China, Europe, Japan, Southeast Asia, India and more.
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 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
12.1 Microsoft
12.1.1 Microsoft Company Details
12.1.2 Company Description and Business Overview
12.1.3 Data Science Platform Introduction
12.1.4 Microsoft Revenue in Data Science Platform Business (2014-2019)
12.1.5 Microsoft Recent Development
12.2 IBM
12.2.1 IBM Company Details
12.2.2 Company Description and Business Overview
12.2.3 Data Science Platform Introduction
12.2.4 IBM Revenue in Data Science Platform Business (2014-2019)
12.2.5 IBM Recent Development
12.3 Google
12.3.1 Google Company Details
12.3.2 Company Description and Business Overview
12.3.3 Data Science Platform Introduction
12.3.4 Google Revenue in Data Science Platform Business (2014-2019)
12.3.5 Google Recent Development
12.4 Wolfram
12.4.1 Wolfram Company Details
12.4.2 Company Description and Business Overview
12.4.3 Data Science Platform Introduction
12.4.4 Wolfram Revenue in Data Science Platform Business (2014-2019)
12.4.5 Wolfram Recent Development
12.5 Datarobot
12.5.1 Datarobot Company Details
12.5.2 Company Description and Business Overview
12.5.3 Data Science Platform Introduction
12.5.4 Datarobot Revenue in Data Science Platform Business (2014-2019)
12.5.5 Datarobot Recent Development
12.6 Cloudera
TOC Continued……
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