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Aggressive: Information Science Platform Marketplace again after COVID-19 shutdown with large expansion

Information science is learn about of knowledge that comes to rising strategies of recording, storing and examining the information, to simply extract the wanted data to take the important choices for trade. The word ‘Information Science Platform’ will also be described as a device together with plenty of applied sciences for complicated analytics makes use of and device studying. It permits information scientists inside a unmarried setting to find actionable insights from information, plan a method, and in addition in speaking the accumulated insights all through an endeavor. As information science tasks contain numerous other gear designed for the modeling procedure, it will be important for the information science groups to have a centralized location for participating simply.

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1 Information Science Platform Marketplace Segmentation by way of Kind

 

  • Answers
  • Products and services

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2 Information Science Platform Marketplace Segmentation by way of Finish-use

  • Telecommunication
  • BFSI
  • Healthcare
  • Shipping and Logistics
  • Production
  • Others

3 Functions of Information Science Platforms

As in keeping with the weblog revealed by way of Analysis Dive , the high information science platforms give you the flexibility of open supply gear and the scalability of adaptable compute assets. A top quality information science platform accommodates best possible practices which were delicate and advanced over years of device engineering. Model regulate is a type of best possible practices, which permits the information science crew to collaborate on tasks with out dropping already accomplished paintings. As well as, a just right information science platform will line up information structure of any kind. Additionally, to raised facilitate the collaboration, an information science platform additionally is helping the information scientists to unburden low-value duties, comparable to operating stories, reproducing previous effects, and scheduling jobs.

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4 Software Spaces of Information Science Platforms

Information science platforms be offering collaborative and versatile environments by way of enabling the organizations to combine data-driven choices into buyer going through and operational programs. This improves the client enjoy and in addition complements trade results.

The lively use of knowledge science and device studying is boosting the telecommunication business. The telecom firms perform with intense information float as they majorly serve as with huge conversation networks and infrastructures. Inspecting and processing this information with the assistance of information science platforms is likely one of the maximum sensible resolution.

Information science platforms has additionally considerably helped within the emergence of wearable and programs that may observe sufferers on a relentless foundation. This is helping in combating attainable well being issues. In terms of discovering remedy, information science platform additionally performs a a very powerful function within the growth of pharmaceutical examine. Thus, to increase remedy, device studying algorithms are used to investigate and extract organic samples from sufferers.

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The Banking, Monetary Products and services and Insurance coverage (BFSI) sector has an enormous quantity of knowledge this is saved. Thus, to investigate this large quantity of knowledge, it’s now very important to include the implementation of giant information analytics. In BFSI sector, the significance of knowledge science platform is a very powerful and therefore it’s built-in into all decision-making processes which might be in response to actionable insights from buyer information.

5 Key Marketplace gamers of Information Science Platform Marketplace

o Microsoft Company
o Databricks
o Alphabet Inc. (Google)
o Domino Information Lab, Inc.
o Dataiku
o Civis Analytics
o Cloudera, Inc.
o Anaconda, Inc.
o IBM Company
o Altair Engineering, Inc.

6 Forecast Research of Information Science Platform Marketplace

World marketplace for information science platform is projected to witness a vital expansion all the way through the forecast length from 2019 to 2026. A number of components comparable to adoption of synthetic intelligence, expanding call for for public cloud, explosive expansion of Web of Issues (IoT) programs, device studying, upward push and revolution in call for of giant information are anticipated to power the call for for information science platform marketplace expansion.

Loss of area experience and information breach are one of the vital main restrains for the expansion of knowledge science platform marketplace. Information science is a unique box to many and there are a variety of pros that aren’t that skilled within the respective box to care for the complicated problems. Therefore, the supply of area experience within the respective box is regarded as to be the key restrains of the information science platform.

Expanding adoption of knowledge analytical gear is giving important uplift to the expansion of the worldwide marketplace within the close to long run. As in keeping with the Analysis Dive document statistics, the international information science platform marketplace  is expected to develop at 31.1% CAGR and can achieve as much as $224.3 billion all the way through the length of forecast. The document highlights outstanding gamers running within the international marketplace. A few of them are Alphabet Inc. (Google), Databricks, Domino Information Lab, Inc., Civis Analytics, Dataiku, Cloudera, Inc., IBM Company, Anaconda, Inc., Microsoft Company., and Altair Engineering, Inc. Those gamers are adopting a number of methods comparable to collaborations, product construction, and also are beginning R&D actions to face sturdy within the international marketplace.

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Data Science Platform Market Global Outlook, 2020-2027 | Civis Analytics, Inc., Cloudera, Continuum Analytics, Datarpm – Progress Software Corporation, Datarobot, Inc., Dataiku Sas, Domino Data Lab

Global Data Science Platform Market Research Report will help Major Players and the new entrants to understand scrutinize the market in detail. This information will encourage the Major Players to decide their business strategy and achieve proposed business aims.

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; also, key Data Science Platform Market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, key development in the past five years.

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Alteryx, Inc., Bridgei2I Analytics Solutions, Civis Analytics, Inc., Cloudera, Continuum Analytics, Datarpm – Progress Software Corporation, Datarobot, Inc., Dataiku Sas, Domino Data Lab, Feature Labs, Google, IBM Corporation, Microsoft Corporation, Rapidminer, Inc., Rexer Analytics., Wolfram Research are some of the major organizations dominating the global market.

Data Science Platform Market is a specialized and in-depth study of the Data Science Platform industry with a focus on the global market trend. The report provides an overview of global Data Science Platform Market with detailed market segmentation by product/application and regions.

The Data Science Platform Market report gives a 360-degree holistic view of the market and highlights the key developments, drivers, restraints and future trends with impact analysis of these trends on the market for short-term, mid-term and long-term during the forecast period. In addition, the report also provides profiles of major companies along with detailed SWOT analysis, financial facts and key developments of products/services from the past three years.

The exclusive report on the Data Science Platform Market research report has been formulated with the help of extensive primary research (inputs from industry experts, companies, and stakeholders) and secondary research to get a universal view of the market. The report gives in-detailed information across global regions, including North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and South America & Central America (SCAM). We follow an iterative research methodology model to formulate the report that helps decision-makers take sound investment evaluation. Secondary research is carried out using internal and external sources to obtain qualitative and quantitative information of the market backed by the primary interview of KOLs and SME’s. This model negates any drastic deviation in the market estimation and is used to estimate the Data Science Platform Market size and forecasts until 2025.

With this Data Science Platform markets forecasting report you can:

  • Understand the size and scope of the top 14 markets
  • Hear direct from leading companies on their strategies and plans
  • Review the latest and most significant technological developments
  • Know the key trends within the sector and what’s driving them
  • Spot opportunities and threats in this sector
  • Establish key companies’ latest activities and prospects
  • Prepare supply and demand forecasts
  • Produce internal sales plans and forecasts
  • Carry out competitive intelligence

The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The complete knowledge of the Data Science Platform Market is based on the latest industry news, opportunities, and trends. The keyword Market research report offers a clear insight into the influential factors that are expected to transform the global market in the near future.

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Reason to Buy

  1. Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Data Science Platform Market
  2. Highlights key business priorities in order to assist companies to realign their business strategies.
  3. The key findings and recommendations highlight crucial progressive industry trends in the Data Science Platform Market, thereby allowing players to develop effective long term strategies.
  4. Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
  5. Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
  6. Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation, and industry verticals.

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Data Science Platform Market Outlook 2025: Top Companies, Trends and Growth Factors Details for Business Development

The Data Science Platform Market was valued at US$ 37.9 million in 2019 and is projected to reach US$ 237.84 million by 2025, at a CAGR of 30 percentage during the forecast period. In this study, 2019 has been considered as the base and 2020 to 2025 as the forecast period to estimate the market size for Data Science Platform Market

Deep analysis about market status (2016-2019), competition pattern, advantages and disadvantages of products, industry development trends (2019-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to downstream buyers of this industry have been analysed scientifically. This report will help you to establish comprehensive overview of the Data Science Platform Market

The Data Science Platform Market can be split based on product types, major applications and regions.

By components
Platform
Services
Managed Services
Professional Services
Training and Consulting
Integration and Deployment
Support and Maintenance

By deployment modes
Cloud
On-premises

By business functions
Marketing
Sales
Logistics
Finance and Accounting
Customer Support
Others

By organization size
Small and Medium-sized Enterprises (SMEs)
Large Enterprises

By industry verticals
Banking, Financial Services, and Insurance (BFSI)
Telecom and IT
Retail and eCommerce
Healthcare and Life sciences
Manufacturing
Energy and Utilities
Media and Entertainment
Transportation and Logistics
Government
Others

Key companies covered / Analyzed in the report are: MICROSOFT
IBM
GOOGLE
SAS INSTITUTE
ALTAIR
CLOUDERA
ALTERYX
DATABRICKS
WOLFRAM
MATHWORKS
RAPIDMINER
ANACONDA
BRIDGEI2I
REXER ANALYTICS
DOMINO DATA LAB
DATAIKU
CIVIS ANALYTICS
H2O.AI
RSTUDIO
RAPID INSIGHT

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The report provides analysis & data at a regional level (North America, Europe, Asia Pacific, Middle East & Africa , Rest of the world) & Country level (13 key countries – The U.S, Canada, Germany, France, UK, Italy, China, Japan, India, Middle East, Africa, South America)

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Key questions Answered in the report:
1. What is the current size of the Data Science Platform Market, at a global, regional & country level?
2. How is the market segmented, who are the key end user segments?
3. What are the key drivers, challenges & trends that is likely to impact businesses in the Data Science Platform Market?
4. What is the likely market forecast & how will be impacted Data Science Platform Market?
5. What is the competitive landscape, who are the key players?
6. What are some of the recent M&A, PE / VC deals that have happened in the Data Science Platform Market?

The report also analysis the impact of COVID – 19 based on a scenario based modelling. This provides a clear view of how has COVID impacted the growth cycle & when is the likely recovery of the industry is expected to pre-covid levels.

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Data Science Platform Market Driving Factors, Industry Analysis, Investment Feasibility and Trends, Outlook -2026

The Data Science Platform market research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data. It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to Data Science Platform market segments such as geography, product type & applications.

The Data Science Platform market research report has combined the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. The report also provides the scope of different segments and applications that can potentially influence the Data Science Platform market in the future.

The detailed information is based on current trends, covid impact analysis & post revenue opportunities and historic milestones. This report also provides an analysis of the volume of production about the global Data Science Platform market and also about each product type & application. Pricing analysis is included in the report according to each type, manufacturer, region, and global price from 2016 to 2026.

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Market Segment Analysis

The Data Science Platform market research report includes specific segments by Type and Application. Each type provides information about the production during the forecast period of 2019 to 2026. The application segment also provides consumption during the forecast period of 2019 to 2026. Understanding the segments helps in identifying the importance of different factors that aid market growth.

Segmentation based on Product Type:

  • On-Premises
  • On-Demand

Segmentation based on Applications:

  • Marketing
  • Sales
  • Logistics
  • Risk
  • Customer Support
  • Human Resources
  • Operations

The report has been curated after observing and studying various factors that determine regional growth such as the economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. These analyses will help the reader to understand the potential worth of investment in a particular region.

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Global Data Science Platform Market: Competitive Landscape

This section of the report identifies various key manufacturers of the market. It helps the decision market to understand the strategies and collaborations that key players are focusing on combat competition in the market. The comprehensive Data Science Platform market report provides a significant microscopic look at the market. The decision-maker can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the price of manufacturers, and production by manufacturers during the forecast period.

The major players in the market are as per below:

  • 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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Key Topics Covered in the Report:

  1. Data Science Platform Market Overview (Product Overview and Scope, By Types & application: Production Growth Rate Comparison, Market Size Estimates and Forecasts, Data Science Platform Growth Prospects.
  2. Market Competition by Manufacturers (Market Competitive Situation and Trends, Top 3 and Top 5 Players Market Share by Revenue, Mergers & Acquisitions, Expansion)
  3. Production Capacity by Region (Production Capacity, Revenue Market Share, Price and Gross Margin)
  4. Global Data Science Platform Consumption by Regions
  5. Production, Revenue, Price Trend by Type (Price Tier:- Low-End, Mid-Range and High-End)
  6. Global Data Science Platform Market Analysis by Application (Consumption Market Share by Application, Consumption Growth Rate by Application)
  7. Company Profiles and Key Figures in Data Science Platform Business (Company, Production Sites and Area Served, Product Introduction, Application and Specification, Production Capacity, Revenue, Price and Gross Margin, Main Business and Markets Served)
  8. Data Science Platform Manufacturing Cost Analysis (Key Raw Materials Analysis, Price Trend, Suppliers of Raw Materials, Proportion of Manufacturing Cost Structure, Manufacturing Process Analysis, Industrial Chain Analysis)
  9. Marketing Channel, Distributors and Customers (Marketing Channel, Data Science Platform Distributors List,, Data Science Platform Customers)
  10. Market Dynamics (Market Trends, Opportunities and Drivers, Challenges, Porter’s Five Forces Analysis)
  11. Production and Supply Forecast (Forecasted Production, Revenue, Price)
  12. Consumption and Demand Forecast (Regional Forecasted and Consumption Demand Analysis)
  13. Forecast by Type and by Application (2020-2026) (Production, Consumption, Revenue and Price Forecast by Type & Application)
  14. Research Finding and Conclusion
  15. Methodology and Data Source (Research Programs/Design, Market Size Estimation, Market Breakdown and Data Triangulation, Data Source, Author List)
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COVID-19 Update: Global Data Science Platform Market is Expected to Grow at a Healthy CAGR with Top players: Microsoft, IBM, Google, Wolfram, Datarobot, etc. | InForGrowth

Data Science Platform market report examines the short-and medium-term economic and profitability outlook for Data Science Platform industry. The Data Science Platform market accounted for $XX million in 2018, and is expected to reach $XX million by 2024, registering a CAGR of XX% from 2019 to 2026.

Premium Insights on Data Science Platform Market 2020 with Market Players Positioning 
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Major Classifications of Data Science Platform Market:

Major Key players covered in this report:– 

  • Microsoft
  • IBM
  • Google
  • Wolfram
  • Datarobot
  • Cloudera
  • Rapidminer
  • Domino Data Lab
  • Dataiku
  • Alteryx
  • Continuum Analytics
  • Bridgei2i Analytics
  • Datarpm
  • Rexer Analytics
  • Feature Labs.

    By Product Type: 

  • On-Premises
  • On-Demand

    By Applications: 

  • Marketing
  • Sales
  • Logistics
  • Risk
  • Customer Support
  • Human Resources
  • Operations

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    The global Data Science Platform market is segmented based on product, end user, and region.

    Region wise, it is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, Italy, Spain, France, and rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, Taiwan, and, rest of Asia-Pacific) and EMEA (Brazil, South Africa, Saudi Arabia, UAE, rest of EMEA).

    Moreover, other factors that contribute toward the growth of the Data Science Platform market include favorable government initiatives related to the use of Data Science Platform. On the contrary, high growth potential in emerging economies is expected to create lucrative opportunities for the market during the forecast period.

    Impact of COVID-19: 
    Data Science Platform Market report analyses the impact of Coronavirus (COVID-19) on the Data Science Platform industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Data Science Platform market in 2020.

    The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

    COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.

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    Key Benefits for Stakeholders from Data Science Platform Market Report:
    This report entails a detailed quantitative analysis along with the current global Data Science Platform market trends from 2019 to 2026 to identify the prevailing opportunities along with the strategic assessment.
    The Data Science Platform market size and estimations are based on a comprehensive analysis of key developments in the industry.
    A qualitative analysis based on innovative products facilitates strategic business planning.
    The development strategies adopted by the key market players are enlisted to understand the competitive scenario of the Data Science Platform industry.

    Industrial Analysis of Data Science Platform Market:

    Attributes such as new development in Data Science Platform market, Total Revenue, sales, annual production, government norm, and trade barriers in some countries are also mentioned in detail in the report. Data Science Platform Report discusses about recent product innovations and gives an overview of potential regional market shares.

    Data

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    Global Data Science Platform Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Microsoft, IBM, Google, Wolfram, Datarobot, etc. | InForGrowth

    Data Science Platform Market analysis is provided for the Global market including development trends by regions, competitive analysis of Data Science Platform market. Data Science Platform Industry report focuses on the major drivers and restraints for the key players.

    According to the Data Science Platform Market report, the global market is expected to witness a relatively higher growth rate during the forecast period. The report provides key statistics on the market status of Global and Chinese Data Science Platform Market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry

    Major Key Contents Covered in Data Science Platform Market:

    • Introduction of Data Science Platformwith development and status.
    • Manufacturing Technology of Data Science Platformwith analysis and trends.
    • Analysis of Global Data Science Platformmarket Key Manufacturers with Company Profile, Product Information, Production Information and Contact Information.
    • Analysis of Global and Chinese Data Science Platformmarket Capacity, Production, Production Value, Cost and Profit
    • Analysis Data Science PlatformMarket with Comparison, Supply, Consumption and Import and Export.
    • Data Science Platformmarket Analysis with Market Status and Market Competition by Companies and Countries.
    • 2020-2026 Market Forecast of Global Data Science PlatformMarket with Cost, Profit, Market Shares, Supply, Demands, Import and Export.
    • Trending factors influencing the market shares of APAC, Europe, North America, and ROW?
    • Data Science PlatformMarket Analysis of Industry Chain Structure, Upstream Raw Materials, Downstream Industry.
    • COVID-19 impact on the overall industry.

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    Then, the report explores the international major players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2015-2019 market shares for each company.

    After the basic information, the report sheds light on the production. Production plants, their capacities, global production, and revenue are studied. Also, the Data Science Platform Market Sales growth in various regions and R&D status are also covered.

    Through the statistical analysis, the report depicts the global and Chinese total market of Data Science Platform market including capacity, production, production value, cost/profit, supply/demand, and Chinese import/export. The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.

    Data Science Platform Market Report Segmentation:

    Product Type: 

  • On-Premises
  • On-Demand

    Application: 

  • Application A
  • Application B
  • Application C

    Key Players: 

  • 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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    Data

    Region Analysis: The report then estimates 2020-2026 market development trends of Data Science Platform market. Analysis of upstream raw materials, downstream demand and current market dynamics is also carried out. In the end, the report makes some important proposals for a new project of Data Science Platform market before evaluating its feasibility.

    Industrial Analysis of Data Science Platform Market:

    Data

    Table and Figures Covered in This Report:

    • Data Science Platform Market Overview, Scope, Status and Prospect
    • Global Data Science Platform Market Competition by Manufacturers
    • Global Data Science Platform Capacity, Production, Revenue (Value) by Region
    • Global Data Science Platform Supply (Production), Consumption, Export, Import by Region
    • Global Data Science Platform Production, Revenue (Value), Price Trend by Type
    • Global Data Science Platform Market Analysis by Application
    • Global Data Science PlatformManufacturers Profiles/Analysis
    • Data Science Platform Manufacturing Cost Analysis
    • Industrial Chain, Sourcing Strategy and Downstream Buyers
    • Marketing Strategy Analysis, Distributors/Traders
    • Market Effect Factors Analysis
    • Global Data Science Platform Market Forecast
    • Research Findings and Conclusion Appendix – Methodology/Research Approach, Market Size Estimation, Data Source, Secondary Sources, Primary Sources, and Disclaimer.

    Then, the report focuses on global major leading Data Science Platform Market players with information such as company profiles, product picture, and specification, capacity, production, price, cost, revenue, and contact information. Upstream raw materials and downstream consumer’s analysis is also carried out. What’s more, the Global Data Science Platform Market development trends and marketing channels are analyzed.

    In nutshell, the Data Science Platform Market feasibility of new investment projects is assessed, and overall research conclusions are offered. In a word, the Data Science Platform Market report provides major statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the Market Sales.

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    2020 -2025 Data Science Platform Market Global Top Key Players: Google, Inc., Microsoft Corporation, IBM Corporation, Cloudera, Inc., Dataiku SAS, RapidMiner, Inc

    10 Best Data Science Platforms. A data science platform can change the… |  by ODSC - Open Data Science | Medium

    The Data Science Platform Market report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Data Science Platform.

    The global data science platform market (henceforth, referred to as the market studied) was valued at USD 31.05 billion in 2019, and it is expected to reach USD 230.80 billion by 2025, registering a CAGR of 39.7 % during the forecast period, 2020-2025.  

    The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. Top Companies in the Global Data Science Platform Market: Google, Inc., Microsoft Corporation, IBM Corporation, Cloudera, Inc., Dataiku SAS, RapidMiner, Inc, Wolfram Research, SAS Institute, Inc., H2O.ai, TIBCO Software Inc., Domino Data Lab, Inc., Anaconda Inc, Alteryx Inc., Teradata Corporation, WNS Global Services Pvt. Ltd., KNIME.com AG, BRIDGEi2i Analytics Solutions Pvt Ltd, and others.

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    – IT managers who support a large team of data scientists in an enterprise setting are tasked with data governance and providing the infrastructure and tools that data scientists need. The proliferation of data science tools and applications available provides opportunities along with challenges.
    – Data science encompasses many job titles across different industries and organizations, starting from analytics officer, to actuary, to research scientist. But regardless of all title posts, all the roles are united in unlocking strategic insights from data, for which business demand is stronger than ever before. IBM estimated that the need for data scientists would soar 28% by 2020. The increased usage of large amounts of structured and unstructured data in the various end-user industry is boosting the adoption of big data. For instance, according to Seagate Technology PLC, the global volume of data is expected to increase to 47 zettabytes and 163 zettabytes in 2020 and 2025, respectively, from 12 zettabytes in 2015.
    – Specifically, a data science platform supports all four stages of the data science production line: data preparation, model development, DevOps, and business delivery. It relies on transparent data access, consistent metadata, strong enterprise governance, automated machine learning, and model building, operationalized model management, and tools that measure and improve its impact on business.

    Healthcare Sector to Dominate the Market over the Forecast Period:

    –  Health care is a segment where individual pieces of data provide life-or-death importance, and many organizations fail to aggregate data adequately to gain insights into broader care processes. Drawing conclusions and making decisions based on data and efficiently using medical knowledge to improve safety and quality is impossible without a comprehensive data science strategy.
    – The data science platform provides various medical research communities that can broadly share, integrate, and analyze historical, patient-level data from academic and industry phase III clinical trials. Such a rich data set is a part of data science and undoubtedly will help the pharmaceutical research and development segment.
    – Further, players are offering new platforms that are cloud-agnostic and can be deployed as a single-tenant Platform on AWS, GCP, Azure, or Private Cloud. In June 2020, Aigenpulse introduced a new data intelligence platform designed to expedite drug discovery and development. Aigenpulse platform harnesses the latest artificial intelligence (AI) and machine learning tools to deliver advanced analytics to underpin scientific decision making.

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    Industry Latest Development:

    In June 2020 – IBM Corporation announced the general availability of its IBM Cloud Pak for Data V3.0 platform. The platform has grown exponentially from being a collection of IBM data services to a robust end-to-end data and AI solution. It provides a cohesive ecosystem to accelerate data estate modernization and drives AI adoption.

    In February 2020 – Oracle announced the launch of the new Oracle Cloud Infrastructure Data Science Service, a native service on Oracle Cloud Infrastructure (OCI) that is designed to let teams of data scientists collaborate on the development, deployment, and maintenance of machine learning models. As Oracle grows the footprint of its “second generation” cloud, the new service aims to leapfrog the services other public cloud vendors offer for data scientists and the problems that come with typical data scientist workflows.

    What are the market factors that are explained in the report?

    -Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

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

    -Analytical Tools: The Global Data Science Platform Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

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    Data Science Platform Market Research, Size, Share Analysis by Manufacturers, Regions, Type and Application to 2026

    The Data Science Platform market research report provides essential statistics on the market position of the Data Science Platform manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. The report provides a basic summary of the Data Science Platform industry including its definition, applications and manufacturing technology. The report presents the company profile, product specifications, capacity, production value, and market shares for key vendors.

    The overall market is split by the company, by country, and by application/type for the competitive landscape analysis. The report estimates market development trends of Data Science Platform industry. Analysis of upstream raw materials, downstream demand and current market dynamics is also carried out. The Data Science Platform market report makes some important proposals for a new project of Data Science Platform Industry before evaluating its feasibility.

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    Key segments covered in Data Science Platform market report: Major key companies, product type segment, end use/application segment and geography segment.

    The information for each competitor includes:

    • Company Profile
    • Main Business Information
    • SWOT Analysis
    • Sales, Revenue, Price and Gross Margin
    • Market Share
    • For a complete companies list, please ask for sample pages. 

    Company segment, the report includes global key players of Data Science Platform as well as some small players:

    • Microsoft
    • IBM
    • Google
    • Wolfram
    • Datarobot
    • Cloudera
    • Rapidminer
    • Domino Data Lab
    • Dataiku
    • Alteryx
    • Continuum Analytics
    • Bridgei2i Analytics
    • Datarpm
    • Rexer Analytics
    • Feature Labs

    For product type segment, this report listed the main product type of Data Science Platform market

    • On-Premises
    • On-Demand

    For end use/application segment, this report focuses on the status and outlook for key applications. End users are also listed.

    • Marketing
    • Sales
    • Logistics
    • Risk
    • Customer Support
    • Human Resources
    • Operations

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    This report covers the following regions:

    • North America (US and Canada)
    • Europe (UK, Germany, France and Rest of Europe)
    • Asia Pacific (China, Japan, India and Rest of Asia Pacific)
    • Latin America (Brazil, Mexico and Rest of Latin America)
    • Middle East & Africa (GCC and Rest of Middle East & Africa)

    Key Questions Answered in the Report:

    • What is the size of the overall Data Science Platform Market and its segments?
    • What are the key segments and sub-segments in the market?
    • What are the key drivers, restraints, opportunities, and challenges of the Data Science Platform Market and how they are expected to impact the market?
    • What are the attractive investment opportunities within the Market?
    • What is the Data Science Platform Market size at the regional and country-level?
    • Who are the key market players and their key competitors?
    • Market value- chain and key trends impacting every node with reference to companies
    • What are the strategies for growth adopted by the key players in Data Science Platform Market?
    • How does a particular company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness, and market capitalization?
    • How financially strong are the key players in Data Science Platform Market (revenue and profit margin, market capitalization, expenditure analysis, investment analysis)?
    • What are the recent trends in Data Science Platform Market? (M&A, partnerships, new product developments, expansions)

    We also can offer a customized report to fulfill the special requirements of our clients. Regional and Countries report can be provided as well.

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    Data Science Platform Market 2020 Key Players – Rapidminer, Google, Alteryx, Cloudera, Datarobot, Dataiku, Feature Labs

    Data Science Platform Market International Trends: Growth Prospects and Forecasts 2020 – 2025

    According to an extensive report by Decisive Markets Insights, the Data Science Platform Market is expected to register market value of around USD xx billion for the forecast period 2020 – 2025, at compounded annual growth rate of x%, compared to its earlier projected value of USD xx billion.  The CAGR is calculated for the year 2019 – 2025. The major geographies with potential business are North America, Europe and Asia Pacific. The report focuses the market trends through macro and micro economic perspective. Key suppliers are adopting different strategies through advertisements in both digital and traditional platform to attract customers. The report does an extensive research to determine the market trends on the basis of product types and usage areas. Cultural and Social aspects have been evaluated as well for a close observation of demand and supply chain. Raw materials are easily available in the market therefore the challenges are mainly focused on the finances and government regulations. Of course, the strategies of the competitors in the market cannot be denied.

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    Data Science Platform Market Classification: Product Types, Application Areas and Key Geographies

    The geographical boundaries included for classification based on type and application are; North America, Europe, Asia Pacific and Rest of the World (RoW).

    These geographies have been further divided as

    • North America (the US, Canada and Mexico)
    • Europe (UK, France, Germany, Spain, Russia and Rest of Europe)
    • Asia Pacific (China, India, South Korea, Taiwan, Singapore and Rest of Asia Pacific
    • Rest of the World (South and Central America, Middle East and Africa)

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    Segmentation and Scope of the Data Science Platform Market

    Market segments of the global market have been provided below to understand the bi-furcation of the market. The market segments help the reader to understand the market from all the aspects.

    Companies Operating in the Data Science Platform Market –

    Microsoft
    Domino Data Lab
    Wolfram
    IBM
    Rapidminer
    Google
    Alteryx
    Cloudera
    Datarobot
    Dataiku
    Feature Labs
    Continuum Analytics
    Rexer Analytics
    Bridgei2i Analytics
    Datarpm

    Market by Type

    On-Premises
    On-Demand

    Market by Application

    Marketing
    Sales
    Logistics
    Risk
    Customer Support
    Human Resources
    Operations

    By Geography – North America, Europe, Asia-Pacific, Rest of the World (RoW)

    Benefits of the Full Report: An Outline

    • Market size and forecast: 2020 to 2025
    • CAGR: 2020 to 2025, estimating 2019 as the base year
    • Details of the main competitors in the market
    • Supply side and the demand side mapped to accurately assess the market
    • Application of data triangulation research methods apart from primary and secondary data

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    Data Science Platform  Market: Opportunities and Forecast Assessment, 2020–2026 : IBM Corporation , Google , Wolfram , DataRobot , SenseÂ

    The Data Science Platform Market Report begins with an overview of the industrial chain structure and provides an overview of the industrial environment, analysis of market size, by-products, regions, application forecasts, and market competition with vendors and companies. Introduction to the situation This report describes the profile, as well as the analysis of market prices and the characteristics of the value chain.

    This report provides informed decisions, opportunity understanding, effective business strategy planning, new project planning, peer and constraint analysis, and industry forecast projection. Data Science Platform Market Report Includes Breakdown of Top Players, Dealer Strategies, Dealer Analysis, Marketing Channels, Potential Buyers, and Market Development.

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    This study provides a detailed analysis of the market in terms of regulatory framework and development trends, historical data, market size, and future prospects. The report provides a detailed analysis of market segments and sub-segments investigating market trends and demand in key regions of the global Data Science Platform market. Joint ventures also refer to various elements such as mergers, partnerships, and product launches.

    Global Data Science Platform Market Segmentation as Follows:

    By Top Industry Players: Microsoft Corporation , IBM Corporation , Google , Wolfram , DataRobot , Sense , RapidMiner , Domino Data Lab , Dataiku , Alteryx , Continuum Analytics

    By Type: Type 1, Tpye 2, etc (details in sample)

    By Application: Application 1, Application 2, etc (Details in sample copy

    Global Data Science Platform Market: Competitive Rivalry

    This research report provides an analysis of the competitive landscape of the global Data Science Platform market. This includes evaluating current and future trends that players can invest in. It also includes an assessment of the player’s financial prospects and describes the nature of the competition.

    The report now describes the changes in market dynamics and demand patterns associated with COVID-19 infection. This report provides a detailed overview of business areas, growth prospects, and future prospects based on the impact of COVID-19 on the growth of the entire industry. The report also provides an analysis of the current and future market impact of Pandemic and a forecast of COVID-19 anomalies.

    Get the Free Analysis with this Report (Covers Updated Covid-19 Impact Analysis on Data Science Platform Industry): https://www.worldwidemarketreports.com/covidimpact/354120

    The main questions answered in the report are:

    • What will happen to the market in 2026 and what will the growth rate be?
    • What are the major drivers of the Global Data Science Platform Market?
    • What are the key market trends affecting the growth of the Global Data Science Platform Market?
    • What are the challenges for market growth?
    • Who are the top vendors in the global Data Science Platform market?
    • What are the market opportunities and threats faced by vendors in the global Data Science Platform market?
    • Trend factors affecting market share in the US, APAC, Europe, and MEA.
    • What are the main analysis results of the five forces in the Global Data Science Platform Market?

    The research report describes the potential development opportunities that exist in the global market. The reports are classified by research methods based on historical information and forecasts. The global market for Data Science Platform is generous and dependent on the size and assets of the incentive measurement period. This report provides an understanding of the evolution of openness and control in market making. The search can generate significant awareness of the final destination of the market.

    Production Analysis- Production is analyzed for different regions, types and uses. It also provides price analysis to various market participants.

    Sales and Revenue Analysis- Examine both sales and revenue in different regions of the global market. Another important aspect that plays an important role in earnings and prices is also evaluated in different regions of this section.

    Supply and consumption- This section analyzes the supply and consumption of the market that continues to sell. This part also shows the gap between supply and consumption. Import and export numbers are also listed here.

    Other Analytics- Provides market information, sales analysis, and contact information for top manufacturers, suppliers, and top consumers. This includes SWOT analysis of new projects and suitability analysis of new investments.

    This data stream also includes sales prices for different types, applications, and regions. An important regional market is offered. It also includes consumption by type and by applicable star.

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