Press release
Data Science Platform Market will be Valued at US $140.8 Billion by 2022 - Microsoft, IBM, Google, Wolfram, Datarobot
Data Science Platform Market
This Report covers the Major Players data, including: shipment, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors’ better market. This report also covers all the regions and countries of the world, which shows a regional development status, including market size.
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with the slowdown in world economic growth, the Data Science Platform industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Data Science Platform market size to maintain the average annual growth rate of 38.84% from 10.2 billion $ in 2014 to 27.3 billion $ in 2017, market analysts believe that in the next few years, Data Science Platform market size will be further expanded, we expect that by 2022, The market size of the Data Science Platform will reach 140.8 billion $.
The Data science platform incorporates Market a set of new generation technologies and architecture that are especially designed as a framework of the entire data science project. It consists of tools that are required to execute the life cycle of the data science project, which consists of different phases such as data ideation, integration & exploration; model development, and model deployment. In the present scenario, it has become a critical investment choice that has significantly contributed to the growth of the smart and digital industry.
Rising demand for public cloud, adoption of artificial intelligence, the explosive growth of Internet of things (IoT) applications and machine learning, revolution and rise in demand of big data, etc. are the factor that are expected to drive the demand of data science platform market. Key IT Trends in enterprises are an adoption of big data technology, security, and governance, IT centralization, open standard, and libraries, etc. are adapted to data science platform to provide efficient enterprise solutions across various sectors.
Key Players:
1 Microsoft
2 Ibm
3 Google
4 Wolfram
5 Datarobot
6 Cloudera
7 Rapidminer and more....
Purchase this report online with 125 Pages, List of Tables & Figures and in-depth Table of Contents on “Global Data Science Platform Market Outlook 2018-2022” @ https://www.businessindustryreports.com/buy-now/116038/single .
The report covers the Segments and sub-segments of the Global Data Science Platform Market by:
Regions:
1 North America Country (United States, Canada)
2 South America
3 Asia Country (China, Japan, India, Korea)
4 Europe Country (Germany, UK, France, Italy)
5 Other Country (Middle East, Africa, GCC)
Industry Segmentation:
1 Banking
2 Financial Services and Insurance
3 Healthcare and Life Sciences
4 It and Telecom
5 Retail and Consumer Goods
6 Media and Entertainment
Key questions answered in the report include
1 What are the key factors driving the Data Science Platform market?
2 What are the key market trends impacting the growth of the global Data Science Platform market?
3 What are the challenges to Data Science Platform market growth?
4 Who are the key vendors in the global Data Science Platform market?
5 What are the market opportunities and threats faced by the vendors in the global Data Science Platform market?
6 What are the key outcomes of the five forces analysis of the global Data Science Platform market?
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Table of Content:
1 Data Science Platform Product Definition
2 Global Data Science Platform Manufacturer Share and Market Overview
3 Manufacturer Data Science Platform Business Introduction
4 Global Data Science Platform Market Segmentation (Region Level)
5 Global Data Science Platform Market Segmentation (Product Type Level)
6 Global Data Science Platform Market Segmentation (Industry Level)
7 Global Data Science Platform Market Segmentation (Channel Level)
8 Data Science Platform Market Forecast 2018-2022
9 Data Science Platform Segmentation Product Type
10 Data Science Platform Segmentation Industry
11 Data Science Platform Cost of Production Analysis
12 Conclusion
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