HTF Market Intelligence Consulting Private Limited

Excellent Growth of Data Science Platform Market- Comprehensive Study by Key Players: Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera

 

Edison, NJ -- (SBWIRE) -- 02/11/2019 -- HTF MI recently Announced Global Data Science Platform study with 100+ market data Tables and Figures spread through Pages and easy to understand detailed TOC on "Data Science Platform. Global Data Science Platform research allows you to get different methods for maximizing your profit. The research study provides estimates for Global Data Science Platform Forecast till 2025*. Some of the Leading key Company's Covered for this Research are Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics & Feature Labs.

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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).

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.

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.

Global Data Science Platform Research for a Leading company is an intelligent process of gathering and analyzing the numerical data related to services and products. This Research Give idea to aims at your targeted customer's understanding, needs and wants. Also, reveals how effectively a company can meet their requirements. The market research collects data about the customers, marketing strategy, competitors. The Data Science Platform Manufacturing industry is becoming increasingly dynamic and innovative, with more number of private players entering the industry.

Important Features that are under offering & key highlights of the report:

1) Who are the Leading Key Company in Global Data Science Platform market space?

Following are list of players that are currently profiled in the report "Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics & Feature Labs"

** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.

2) What will the market size be in 2025 and what will the growth rate be?
In 2019, the Global Data Science Platform market size was xx million USD and it is expected to reach USD xx million by the end of 2025, with a CAGR of xx% during 2019-2025.

3) What are the Market Applications & Types:

The study is segmented by following Product Type: , On-Premises & On-Demand

Major applications/end-users industry are: Marketing, Sales, Logistics, Risk, Customer Support, Human Resources & Operations

**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2018 currency rates.

To comprehend Global Data Science Platform market dynamics in the world mainly, the worldwide Data Science Platform market is analyzed across major regions. HTF MI also provides customized specific regional and country-level reports for the following areas.

- North America: United States, Canada, and Mexico.
- South & Central America: Argentina, Chile, and Brazil.
- Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
- Europe: UK, France, Italy, Germany, Spain, and Russia.
- Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.

Enquire for customization in Report @ https://www.htfmarketreport.com/enquiry-before-buy/958204-global-data-science-platform-market-1

Competitive Analysis:
The key players are highly focusing innovation in production technologies to improve efficiency and shelf life. The best long-term growth opportunities for this sector can be captured by ensuring ongoing process improvements and financial flexibility to invest in the optimal strategies. Company profile section of players such as Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics, Bridgei2i Analytics, Datarpm, Rexer Analytics & Feature Labs includes its basic information like legal name, website, headquarters, its market position, historical background and top 5 closest competitors by Market capitalization / revenue along with contact information. Each player/ manufacturer revenue figures, growth rate and gross profit margin is provided in easy to understand tabular format for past 5 years and a separate section on recent development like mergers, acquisition or any new product/service launch etc.

Research Parameter/ Research Methodology

Primary Research:
The primary sources involves the industry experts from the Global Data Science Platform industry including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.

In the extensive primary research process undertaken for this study, the primary sources – industry experts such as CEOs, vice presidents, marketing director, technology & innovation directors, founders and related key executives from various key companies and organizations in the Global Data Science Platform in the industry have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.

Secondary Research:
In the Secondary research crucial information about the industries value chain, total pool of key players, and application areas. It also assisted in market segmentation according to industry trends to the bottom-most level, geographical markets and key developments from both market and technology oriented perspectives.

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In this study, the years considered to estimate the market size of Global Data Science Platform are as follows:
History Year: 2013-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025

Key Stakeholders in Global Data Science Platform Market:
Global Data Science Platform Manufacturers
Global Data Science Platform Distributors/Traders/Wholesalers
Global Data Science Platform Subcomponent Manufacturers
Industry Association
Downstream Vendors

**Actual Numbers & In-Depth Analysis, Business opportunities, Market Size Estimation Available in Full Report.

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