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Global Data Science Platform Market Estimated At USD 686.71 billion by 2029, Likely To Surge At CAGR 28.00% from 2022 to 2029.
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Global data science platform market was valued at USD 686.71 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.
Being a comprehensive in nature, Global Data Science Platform Market research report gives better insights about different market segments on which businesses are highly depending for thriving in the market. This report also offers such wide-ranging market information to explore practical growth strategies and recommendations. All the information, statistics and data included in this report has been collected from the truthful sources such as websites, newspapers, journals, white papers, mergers, and annual reports of the companies. This information is again tested and verified by the market experts before providing it to the end user.
The Global Data Science Platform Market business report encompasses key players along with their share (by volume) in key regions such as APAC, EMEA, and Americas and the challenges faced by them. This report has forecasted compound annual growth rate (CAGR) in 28.00% value for specific period that will help ICT industry to take decision based on futuristic chart. The market report highlights the global key manufacturers, to define, describe and analyze the market competition landscape, based on SWOT analysis. Global Data Science Platform Market report provides the market potential for each geographical region based on the growth rate, macroeconomic parameters, consumer buying patterns, and market demand and supply scenarios.
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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Some of the key questions answered in this report:
- How has the Global Data Science Platform Market performed so far and how will it perform in the coming years?
- What has been the impact of COVID-19 on the Global Data Science Platform Market?
- What are the key regional markets?
- What is the breakup of the market based on the procedure?
- What is the breakup of the market based on the injury location?
- What is the breakup of the market based on the end user?
- What are the various stages in the value chain of the industry?
- What are the key driving factors and challenges in the industry?
- What is the structure of the Global Data Science Platform Market and who are the key players?
- What is the degree of competition in the industry?
Market Analysis and Insights: Global Data Science Platform 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.
- 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.
- 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.
COVID-19 Impact on Digital Transformation Market
The COVID-19 has a favorable impact on data science platform market’s expansion and is projected to offer plenty of room for expansion during the projection period. These prospects include the rise in data applications, the demand for data science platforms in companies, and the introduction of creative data science platform solutions. The pandemic outbreak disrupted all global industries. The data science platform was crucial to the efficient handling of data and the seamless operation of numerous industries during the COVID-19 epidemic, including BFSI, healthcare, and manufacturing. During the COVID-19 pandemic, the benefits of data science platforms have become clearer. Organizations were forced to turn toward digitization in order to set up work from home officers for their employees due to the general lockdown. As the major IT corporations integrate automation and intelligence into their businesses as a result of the COVID-19 epidemic, this is generating interest in data science platforms.
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.)
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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
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