Press release
Global Data Science Platform Market Comprehensive Analysis To 2027 Lead By Google, IBM, MICROSOFT, RapidMiner, TERADATA, Wolfram, ALTERYX, Cloudera, Datarobot, Domino Data Lab
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global data science platform market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The data science platform market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.Some of the leading players in data science platform market are ALTERYX INC, Cloudera, Datarobot, Domino Data Lab Inc, Google, IBM Corporation, RapidMiner Inc, TERADATA CORPORATION, Wolfram
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Data science platform is a software platform is used for integrating and exploring data from various sources. Various organizations are using data science platform to make informed decisions and getting a deeper insight of consumer behavior. Several big market players like Microsoft, and IBM are working rigorously on improving the data science platforms. Increasing focus towards making informed decisions and getting insights to drive the business, and data governance are the major factors that are expected to drive the growth of this market, whereas, high initial investments and data privacy and security concerns might hinder the growth of this market.
The global data science platform market is segmented on the basis of type and end-user. Based on type, the market is segmented as solution and services. On the basis of the end-user the market is segmented as BFSI, telecommunication, transportation and logistics, healthcare, manufacturing, retail, education, government, energy, and others.
The report analyzes factors affecting data science platform market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the data science platform market in these regions.
The reports cover key developments in the data science platform market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market payers from data science platform market are anticipated to lucrative growth opportunities in the future with the rising demand for data science platform in the global market. Below mentioned is the list of few companies engaged in the data science platform market.
Table of Contents:
1 Introduction
2 Key Takeaways
3 Data Science Platform Market Landscape
4 Data Science Platform Market - Key Industry Dynamics
5 Data Science Platform Market Analysis- Global
6 Data Science Platform Market Revenue and Forecasts to 2027 –Solutions
7 Data Science Platform Market Revenue and Forecasts to 2027 – Service
8 Data Science Platform Market Revenue and Forecasts to 2027 - Deployment Type
9 Data Science Platform Market Revenue and Forecasts to 2027 - Industry Vertical
10 Data Science Platform Market Revenue and Forecasts to 2027 - Geographical Analysis
11 Industry Landscape
12 Competitive Landscape
13 Data Science Platform Market, Key Company Profiles
14 Appendix
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