Global Data Science Platform Market Size, Trends, Share, Industry Analysis, Growth and Forecast 2020-2025

At Analytical Research, a new report titled “Data Science Platform Market Report” constitutes a comprehensive overview of the market by listing the dominant players in the market based on a global approach. The report also encompasses several factors based on a strategic workflow aimed at a high developmental curve.

The report offers detailed coverage of Data Science Platform industry and main market trends. The market research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading Data Science Platform by geography. The report splits the market size, by volume and value, on the basis of application type and geography.

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Scope of the Report:
The global Data Science Platform market is valued at xx million USD in 2019 and is expected to reach xx million USD by the end of 2025, growing at a CAGR of xx% between 2020 and 2025.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Data Science Platform.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2025, with a CAGR of xx%.

This report studies the Data Science Platform market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Data Science Platform market by product type and applications/end industries.

Finally, the report provides detailed profile and data information analysis of leading Data Science Platform company.

Key Content of Chapters as follows (Including and can be customized) :
Part 1:
Market Overview, Development, and Segment by Type, Application & Region
Part 2:
Global Market by company, Type, Application & Geography
Part 3-4:
Asia-Pacific Market by Type, Application & Geography
Part 5-6:
Europe Market by Type, Application & Geography
Part 7-8:
North America Market by Type, Application & Geography
Part 9-10:
South America Market by Type, Application & Geography
Part 11-12:
Middle East & Africa Market by Type, Application & Geography
Part 13:
Company information, Sales, Cost, Margin etc.
Part 14:
Conclusion

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Market Segment as follows:
By Region:
Asia-Pacific[China, Southeast Asia, India, Japan, Korea, Oceania]
Europe[Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
North America[United States, Canada, Mexico]
Middle East & Africa[GCC, North Africa, South Africa]
South America[Brazil, Argentina, Columbia, Chile, Peru]

Key Companies:
Microsoft Corporation
IBM Corporation
Google
Wolfram
DataRobot
Sense
RapidMiner
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics

Market by Type:
On-Premises
On-Demand

Market by Application:
Banking, Financial Services, and Insurance (BFSI)
Healthcare and Life Sciences
Information Technology and Telecom
Retail and Consumer Goods
Media and Entertainment
Manufacturing
Transportation and Logistics
Energy and Utilities
Government and Defense
Others

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Table of Content:

Chapter One: Market Overview

Chapter Two: Global Market Status and Future Forecast

Chapter Three: Asia-Pacific Market Status and Future Forecast

Chapter Four: Asia-Pacific Market by Geography

Chapter Five: Europe Market Status and Future Forecast

Chapter Six: Europe Market by Geography

Chapter Seven: North America Market Status and Future Forecast

Chapter Eight: North America Market by Geography

Chapter Nine: South America Market Status and Future Forecast

Chapter Ten: South America Market by Geography

Chapter Eleven: Middle East & Africa Market Status and Future Forecast

Chapter Twelve: Middle East & Africa Market by Geography

Chapter Thirteen: Key Companies

Chapter Fourteen: Conclusion

Note: Due to the ongoing COVID-19 pandemic around the world, the figures in this study represented in the study might differ along with production capacities and other mentioned aspects. Also, note that there is a possibility of a cool down period after the pandemic that the data might differ as the world economy aims to catch on.

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Data Science Platform Market 2020: Applications, Types and Growing Trends in Market, Gross Margin and Market Share 2023

The Data Science Platform Market research report aims to provide an unbiased and a comprehensive outlook of the global market to the readers. Analysts have studied the key trends defining the trajectory of the market. The research report also includes an assessment of the achievements made by the players in the Data Science Platform Market so far. It also notes the key trends in the market that are likely to be lucrative.

The data science platform market is expected to witness a CAGR of 31.49 %, over the forecast period (2018 – 2023).

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Companies covered:

Google Inc, Microsoft Corporation, Ibm Corporation, Cloudera Inc., Dataiku, Rapidminer Inc, Wolfram Research, Sas Institute, Inc., H2o.Ai, Tibco Software India Pvt. Ltd, Domino Data Lab Inc., Anaconda Inc, Alteryx Inc., Teradata Corporation, Wns Global Services Pvt. Ltd., Knime Ag, And Bridgei2i Analytics Solutions Pvt. Ltd. and other for more company coverage please register for sample inquiry.

Market Overview

Data science platform implements real-time data streaming and with advanced data pipelines, which supports the redefine big data into different categories for actionable insights. The data science platform helps data scientists enhance their analysis by assisting them to run, track, reproduce, share and deploy analytical models faster. Usually, all these tasks require a lot of engineering effort and hassle to build and maintain analytical models, but a data science platform provides the extra power tools to speed up analysis, and ultimately the decision-making process. Moreover, this helps the organizations to prepare data, build models and operationalize analytics.

The scope of the report is limited to solutions offered by various market players from various end-user sectors including IT & Telecommunication, healthcare, BFSI, retail, manufacturing, logistics & transportation. The regions considered under the scope of the report include North America, Asia-Pacific, Europe, Latin America, and Middle East & Africa.

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Competitive Insights

May 2018: H2O.ai, the open leader in AI commitment to AI in Healthcare with a new focused initiative. It has been dedicated to AI for good H2O.ais AI in Healthcare initiative to improve the quality of life for people around the globe through AI and machine learning (ML).

November 2017: IBM integrates Watson Data Platform, including data cataloging and data refining, which is designed to make it easier for developers and data scientists to analyze and prepare enterprise data for AI applications, regardless of its structure or where it resides.

Healthcare Sector to Dominate the Market over the Forecast Period

The advancements in AI are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. Recent advancements in computing power in AI technology across the data science platform have increased its potential to make health care professionals for diagnosing patients faster, more accurately, develop innovative new drugs, and treatments, reduce medical and diagnostic errors, predict adverse reactions, and lower the costs of healthcare delivery for both providers and patients.

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Influence of the Data Science Platform market report:

  • Comprehensive assessment of all opportunities and risk in the Data Science Platform market.
  • Data Science Platform market recent innovations and major events.
  • Detailed study of business strategies for growth of the Data Science Platform market-leading players.
  • Conclusive study about the growth plot of Data Science Platform market for forthcoming years.
  • In-depth understanding of Data Science Platform market-particular drivers, constraints and major micro markets.
  • Favorable impression inside vital technological and market latest trends striking the Data Science Platform market.

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Data Science Platform Market 2020 Analysis and Precise Outlook- Microsoft, Domino Data Lab, Wolfram, IBM

The global Data Science Platform Market 2019 Research report provides information regarding market size, share, trends, growth, cost structure, global market competition landscape, market drivers, challenges and opportunity, capacity, revenue and forecast 2024. This report also includes the overall and comprehensive study of the Data Science Platform market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Data Science Platform industry and provides data for making strategies to increase the market growth and effectiveness.

The global Data Science Platform market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 19.8% in the forecast period of 2020 to 2025 and will expected to reach USD 60270 million by 2025, from USD 29250 million in 2019.

Top Companies in the Global Data Science Platform Market: Microsoft Corporation(NASDAQ: MSFT), Domino Data Lab, Wolfram, IBM, Rapidminer, Google(NASDAQ: GOOGL), Alteryx, Cloudera, Datarobot, Dataiku, Feature Labs, Continuum Analytics, Rexer Analytics, Bridgei2i Analytics, Datarpm and others.

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Global Data Science Platform Market is segmented on the basis of:

This report segments the Data Science Platform market on the basis of Types is:
On-Premises
On-Demand

On the basis of Application, the Data Science Platform market is segmented into:
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations

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Regional Analysis For Data Science Platform Market:
For comprehensive understanding of market dynamics, the global Data Science Platform market is analyzed across key geographies namely: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

Highlights the following key factors:
– Business description: A detailed description of the company’s operations and business divisions.
– Corporate strategy: Analyst’s summarization of the company’s business strategy.
– SWOT Analysis: A detailed analysis of the company’s strengths, weaknesses, opportunities, and threats.
– Company history: Progression of key events associated with the company.
– Major products and services: A list of major products, services, and brands of the company.
– Key competitors: A list of key competitors to the company.
– Important locations and subsidiaries: A list and contact details of key locations and subsidiaries of the company.
– Detailed financial ratios for the past five years: The latest financial ratios derived from the annual financial statements published by the company with 5 years history.

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Data Science Platform Market Insights, Trends, Developments and Future Outlook Till 2026

This Data Science Platform Market study offers an inclusive, 360 degree analytical research on the global market, bringing to fore insights that can help stakeholders identify the opportunities as well as challenges. It tracks the global Data Science Platform market across key regions, and offers in-depth commentary and accurate quantitative insights. This Research Study also includes insightful competitive landscapes analysis, and provides key recommendations to market players on winning imperatives and successful strategies.

The Data Science Platform Market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status (2019 to 2026).

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Global Data Science Platform market is expected to grow with a CAGR of 28.9% during 2019-2025.

TOP COMPANIES ARE COVERED IN DATA SCIENCE PLATFORM MARKET REPORT:
T
Google, Teradata, Inc., Datarobot, Continuum Analytics, Rapidminer, Alteryx, IBM, Wolfram, Microsoft, Domino Data Lab, Cloudera, MathWorks, Inc., Fair Issac Corporation, Dataiku, and Other.

Data Science Platform Market segment by Type, the product can be split into:
On-Premises
On-Demand
Others

Data Science Platform Market segment by Application, split into:
Marketing
Logistics
Customer Support
Human Resources
Others

A major development market
-In November 2016, Microsoft launched the next generation of SQL Server and the data Azure lake, and some new capabilities such as DocumentDB Emulator, Kafka to HDInsight and R Server to Azure HDInsight to help developers build intelligent applications.

-In October 216, IBM Watson launches a data platform that delivers the data engine powered swallowing and cognitive decision-making tool that enables scientists used data for Artificial Intelligence for business use.

-In September 2016, RapidMiner partnered with Experfy, consulting market. The partnership focuses on strengthening the RapidMiner data science platform in connecting small, medium, and large enterprises the experts and make them aware of this RapidMiner product.

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Data Science Platform Market segment by Regions/Countries, this report covers:

-North America (United States, Canada and Mexico)
-Europe (Germany, France, UK, Russia and Italy)
-Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
-South America (Brazil, Argentina, Colombia)
-Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

The data science platform market is expected to witness a CAGR of 31.49 %, over the forecast period (2018 – 2023).

North America is expected to hold the largest share of the market of data science platform, because of the presence of large companies, technical experts, and the increased demand for the data science platform in this region. With approximately 1.3 billion clinical documents produced in the United States annually, medical practitioners and doctors have a large amount of data to base their research on. In addition, a large volume of health-related information that is made accessible through the adoption of wearable technology in the region, thus offering new opportunities for better health system over the region.

Some Key Factors Of Market That Are Explained In The Report:
-Global Market Development Strategies: The study also included the development of strategic key markets, which consist of R&D, new product launches, M&A, agreements, Collaborations, partnerships, joint ventures, and the regional growth of the leading competitors operating in the market at the global and regional scale.

-Global Market Features: This report evaluated the key features of the market, including revenue, price, capacity, capacity utilization rate, gross production, the level of production, consumption, import / export, supply / demand, pricing, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the dynamics of key market and their latest trends, along with the relevant market segments and sub-segments.

-Analytical Tools: Reports Global Glass Mat Thermoplastics (GMT) Market includes data precisely studied and assessed on key industry players and their scope in the market by means of a number of analytical tools. Analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility studies, and analysis of investment results have been used to analyze the growth of key players operating in the market.

Influence of the Data Science Platform market report:

–Comprehensive assessment of all opportunities and risk in the Data Science Platform market.

–Data Science Platform market recent innovations and major events.

–Detailed study of business strategies for growth of the Data Science Platform market-leading players.

–Conclusive study about the growth plot of Data Science Platform market for forthcoming years.

–In-depth understanding of Data Science Platform market-particular drivers, constraints and major micro markets.

–Favorable impression inside vital technological and market latest trends striking the Data Science Platform market.

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