Report on Data Science Platform Market (2017) discusses the impact of various Factors influencing the market growth and drivers, further sheds light on market overview, key manufacturers, strategic adopted by them, size, latest trends and types, revenue, gross margin with regional analysis and forecast to 2025.
The data science platform comprised of a software hub around which all the types of data science work takes place, which usually includes integrating and exploring data from various sources, coding and building models that leverage that data, deploying those models into production, and serving up results, either through model-powered applications or reports.
The world data science platform market is being driven by factors such as global rapid advancement in big data technologies, demand for big data analysis to gain deeper insights into consumer buying patterns and need for ease of use technological methods to drive business effectiveness. Data science platform aid to facilitate a high level of association across data scientists, business analysts, data engineers, and developers in different fields of business. Data Science platforms help the organizations to prepare data, build models and operationalize analytics.
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The market for data science platform is expected to see booming growth over the course of next few years on account of surging application of data analytics and big data for different business decisions and operations. Enterprises across the world are increasingly opting for methods for simpler use of data through big data technologies to promote their business and this is catalyzing demand for data science platforms.
Top Key Players: Microsoft Corporation, IBM Corporation, Google, Wolfram, Data Robot, Sense, RapidMiner, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics etc.
The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.
World Data Science Platform Market: Market Segmentation
Market Segmentation by Type: –
Market Segmentation By Applications: –
- Banking, Financial Services, and Insurance (BFSI)
- Healthcare and Life Sciences
- Information Technology and Telecom
- Retail and Consumer Goods
- Media and Entertainment
- Transportation and Logistics
- Energy and Utilities
- Government and Defense
Market Segmentation By Regions: –
- North America (U.S., Canada, Mexico)
- Europe (Germany, U.K., France, Italy, Russia, Spain etc.)
- Asia-Pacific (China, India, Japan, Southeast Asia etc.)
- South America (Brazil, Argentina etc.)
- Middle East & Africa (Saudi Arabia, South Africa etc.)
This report is a set of answers and solution to all the question faced by investors, stakeholders, market players etc. functioning the data science platform sector. Additionally, we strive to deliver a customized report to fulfill the special requirements of our clients, on demand.
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Table of Contents:
1 Market Definition
2 Global Market by Vendors
3 Global Market by Type
4 Global Market by End-Use / Application
5 Global Market by Regions
6 North America Market
7 Europe Market
8 Asia-Pacific Market
9 South America Market
10 Middle East & Africa Market
11 Market Forecast
12 Key Manufacturers
13 Price Overview
14 Research Conclusion
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