Global data science platform market was valued at USD 95.30 billion in 2021 and is expected to reach USD 686.71 billion by 2029, registering a CAGR of 28.00% during the forecast period of 2022-2029.
By employing an exceptional Global Data Science Platform Market report, businesses can get details about market drivers and market restraints which help them to take presumption about reducing or growing the production of particular product. When globalization is growing day by day, many businesses call for global market research consisting of actionable market insights that support decision making. This market report analyses chief factors of the market which provides precise data and information for the business growth. To implement Global Data Science Platform Market research study, competent and advanced tools and techniques viz SWOT analysis and Porter's Five Forces Analysis have been employed. The superiority and transparency maintained in the superior Global Data Science Platform Market report makes it get the trust and reliance of the member companies and customers. Competitive analysis studies of this market report provide ideas about the strategies of key players in the market. In addition, the identity of respondents is kept secretive and no promotional approach is made to them while analysing the data. Not to mention, all the topics of this report have been carefully analysed with the best tools and techniques. Global Data Science Platform Market research report provides an all-inclusive study on production capacity, consumption, import and export for all major regions across the world.
Global Data Science Platform Market Scope and Market Size
The data science platform market is segmented on the basis of component type, function division, deployment model, organization size and end user application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component Type
· Platform
· Services
Function Division
· Marketing
· Sales
· Logistics
· Finance and Accounting
· Customer Support
· Business Operations
· Others
Deployment Model
· On-Premises
· Cloud based
Organization Size
· Small and Medium-sized Enterprises (SMEs)
· Large Enterprises
End User Application
· Banking, Financial Services, and Insurance (BFSI)
· Telecom and IT
· Retail and E-commerce
· Healthcare and Life sciences
· Manufacturing
· Energy and Utilities
· Media and Entertainment
· Transportation and Logistics
· Government
· Others
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Market Analysis and Insights: Global Data Science Platform Market
· The use of data science platforms by medium-sized and small-sized businesses has grown significantly in recent years. Additionally, firms are increasingly inclined to use cutting-edge technologies, such as automation and digitalization, which create a tons of data as well as complicated business procedures. As a result, the need for data science platform solutions is increasing, opening up profitable opportunities for businesses in the market.
· A data science platform is a pre-packaged software program that offers the capabilities necessary for a data science project's whole life cycle. Platforms for data science are essential tools for data scientists. It makes model creation, model distribution, and data exploration possible. It offers a large-scale computing infrastructure and makes data preparation and visualization easier. Data science platforms offer a centralized platform that encourages user collaboration. Data science platforms act as a one-stop shop for data modelling since they include the APIs necessary for model creation and testing with little help from outside engineers.
· This data science platform market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market.
Global Data Science Platform Market Country Level Analysis
The countries covered in the data science platform market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
Global Data Science Platform Market Share Analysis
The data science platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to data science platform market.
Key player Global Data Science Platform Market
· IBM (U.S.)
· DataRobot Inc., (U.S.)
· apheris AI GmbH (Germany)
· The Digital Talent Ecosystem (U.S.)
· Databand (Israel)
· dotData (U.S.)
· Explorium Inc., (U.S.)
· Noogata (Israel)
· Tecton Inc., (U.S.)
· Spell Designs Pty Ltd (U.S.)
· Arrikto Inc., (U.S.)
· Iterative (U.S.)
· Google Inc (U.S.)
· Microsoft (U.S.)
· SAS Institute Inc., (U.S.)
· Amazon Web Services, Inc. (U.S.)
· The MathWorks, Inc. (U.S.)
· Cloudera Inc., (U.S.)
· Teradata (U.S.)
· TIBCO Software Inc. (U.S.)
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MAJOR TOC OF THE REPORT
· Chapter One: Introduction
· Chapter Two: Market Segmentation
· Chapter Three: Market Overview
· Chapter Four: Executive Summary
· Chapter Five: Premium Insights
· Chapter Six: Global Data Science Platform Market Share by Product & Procedure type
Get TOC Details:
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