Data Science Platform Market to Hit USD 298.16 Bn. by 2029 By Component, Deployment, Organization Size, and Vertical

December 08 20:45 2022
Data Science Platform Market to Hit USD 298.16 Bn. by 2029 By Component, Deployment, Organization Size, and Vertical
Data Science Platform Market
Data Science Platform Market was valued at US$ 94.8 Bn. in 2021 and the total Data Science Platform revenue is expected to grow at 15.4% from 2022 to 2029, reaching nearly US$ 298.16 Bn.

Pune, 08, Dec2022: The Data Science Platform Market report published by Maximize market Research, the market is expected to grow from USD 94.8 billion in 2021 to USD 298.16 billion in 2029, at a CAGR of 15.4 percent for the forecast period from 2022 to 2029.

Data Science Platform Market Scope and Research Methodology

The Data Science Platform Market research report offers a thorough examination of the market. The Data Science Platform Market is estimated in terms of USD value from 2022 to 2029 in the study. The study provides an analytical picture of the Data Science Platform Market together with current trends and future forecast in order to identify prospective investment opportunities. The market share for Engineered Fluids is thoroughly examined in the study, along with information on significant drivers, constraints, and opportunities. In order to demonstrate the potential for market expansion globally.

The bottom-up approach was used to validate the market size and its estimation by different segments. Data was collected employing both primary and secondary data collection methods. Surveys, administering questionnaires and telephonic interviews with industry specialists, market leaders, entrepreneurs and marketing professionals were included in the primary methods. Secondary data was precisely collected from a curated selection of sources for maximum reliability of the inferences. This included official databases of various organisations and government sites, industry journals, white papers, annual reports, releases of product manufacturers and suppliers in the industry along with paid databases. SWOT analysis was conducted to provide the strengths and weaknesses of the Data Science Platform Market.

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Data Science Platform Market Overview

Data science is an associative subject that combines scientific techniques, procedures, algorithms, and systems to extract or infer information and insights from noisy, structured, and unstructured data, as well as to apply data knowledge across a wide variety of application areas. Data mining, machine learning, and big data are all connected to data science.  

Data Science Platform Market Dynamics

The amount of data being obtained by businesses is increasing thanks to social media, IoT, and multimedia, which have led to an overwhelming flow of data in both structured and unstructured formats. Nearly 85% of the world’s data is produced by machines and people and is expanding 10 times faster than conventional business data. Machine data is consumer-driven and expanding at a rate that is 50 times faster than the normal majority of data. The majority of the data in the world is now created by consumers who are “always on.” Today’s typical person spends 5–6 hours per day using a variety of devices and social media to consume and create data. Everyone has a smartphone in their pocket, therefore a stunning quantity of data is created. This huge amount of data to drive the Data Science Platform Market.

The IT industry is witnessing the development of the contemporary data science platform as data science becomes a need for data-driven organizations. Amazon, Netflix, and Google are raising the bar for acceptable data science usage and competency. There is some sort of a strategic need for digital transformation on the desk of every C-level executive today. That translates into a need to better exploit data, which translates into a demand for a data science platform. Data science is no longer an optional investment for businesses experiencing a digital transformation. This importance in the today’s world is expected to drive the Data Science Platform Market.

Data Science Platform Market Regional Insights

North America accounted for almost 35% of worldwide sales in 2021. This is as a result of major regional market participant more and more emphasis on the development of the platforms. The technology giant oracle announced the release of a cloud-based data science platform. The new platform’s features include shared projects, team security guidelines, appropriateness, repeatability, and model catalogues.

European market accounted for the second-largest market share in 2021. As data driven digital transformation becomes more prevalent, more companies are using technology to speed up the growth. Thanks a notable growth in Data Science Platforms throughout its developed and developing countries, Asia Pacific (APAC) has consistently provided favourable market for suppliers of Data Science Platform solutions and services. There are several potential opportunities on the market for data science systems in Japan, China, and India. APAC is expected to see the fastest-growing demand for Data Science Platform software and services throughout the course of the forecast period due to a rapidly expanding technology based economic structure.

Data Science Platform Market Segmentation 

By Component: 

  • Platform
  • Services

By Deployment:

  • Cloud
  • On-premises

By Organization Size: 

  • Small and Medium-Sized Enterprises
  • Large Enterprises

By Vertical: 

  • BFSI
  • Retail and E-Commerce
  • Telecom and IT
  • Media and Entertainment
  • Healthcare and Life Sciences
  • Government and Defense
  • Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Other

Data Science Platform Market Key Manufacturers are: 

  • Google
  • Microsoft
  • SAS
  • AWS
  • MathWorks
  • Cloudera
  • Teradata
  • TIBCO
  • Alteryx
  • RapidMiner
  • Databricks
  • Snowflake
  • H2O.ai
  • Altair
  • Anaconda
  • SAP
  • Domino Data Lab
  • Dataiku
  • DataRobot
  • Apheris
  • Comet
  • Databand
  • dotData
  • Explorium
  • Noogata
  • Tecton
  • Spell
  • Arrikto
  • Iterative

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Key questions answered in the Data Science Platform Market are: 

  • What is Data Science Platform? 
  • What is the growth rate of Data Science Platform Market for the forecast years? 
  • What is the nature of competition in Data Science Platform industry in developed and developing economies? 
  • Who are the key players in the Data Science Platform Market?
  • Who are the market leaders in Data Science Platform in Europe?
  • Who are the market leaders in Data Science Platform in USA and Canada?
  • Who are the market leaders in Data Science Platform in India, China, Japan and South Korea?
  • What are the factors affecting growth in the Data Science Platform Market? 
  • Who held the largest market share in Data Science Platform Market? 
  • What are the factors for the growth of Asia-Pacific region in Data Science Platform Market?

Key Offerings:

  • Market Share, Size & Forecast by Revenue | 2022−2029
  • Market Dynamics – Growth Drivers, Restraints, Investment Opportunities, and Key Trends
  • Market Segmentation – A detailed analysis by component, deployment, organization size, vertical and Region.
  • Competitive Landscape – Top Key Vendors and Other Prominent Vendors

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