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Data Bridge Market Research’s latest report, “Data Science Platform Market” provides a thorough analysis of growth strategies, drivers, opportunities, key segments, Porter’s Five Forces analysis, and the competitive landscape, offering valuable insights for industry professionals. Data Science Platform is the finest market research report, which is the result of a proficient team and their potential capabilities. In this market research report, data collection modules with large sample sizes are used to collect data and perform base year analysis. The market research data included in this report is analyzed and forecasted using market statistical and coherent models. This wide-ranging market analysis report puts light on many aspects related to Data Science Platform industry and market. Market definition, market segmentation, competitive analysis, and research methodology are the major topics covered in the Winning Data Science Platform business report.
Data Bridge Market Research analyses that the data science platform market which was USD 122.94 billion in 2022, would rocket up to USD 942.76 billion by 2030, and is expected to undergo a CAGR of 29.00% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
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Global Data Science Platform Dynamics
Drivers
- Rapid growth of big data
The size of data captured by professional is frequently growing because of rise in social media, IOT and other media. Data science platform have created a prodigious flow of data in both structured and unstructured forms. The development of machine-based and human-generated data is generally 10 times greater than that of old-style corporate data, the growing rate of machine data is generated 50 times quicker. The huge growth in data offerings chances for businesses to acquire new things, which led the rise of demand for fresh approaches and plays a crucial role to drive the market of data science platform.
Opportunities
- High Investment and Advancements in Technologies
The high investment in research and development is estimated to generate lucrative opportunities for the market, which will further expand the data science platform market’s growth rate in the future. Moreover, the rapid advancements in technologies such as artificial intelligence (AI), machine learning (ML), and internet of things (IoT) further offer numerous growth opportunities within the market.
Some Of The Major Players Operating In The Data Science Platform Market Are:
- 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.)
- ALTERYX, INC. (U.S.)
- RapidMiner (U.S.),
- Databricks (U.S.)
- Snowflake Inc., (U.S.)
- ai (U.S.)
- Altair Inc., (U.S.)
- Anaconda Inc., (U.S.)
- SAP SE (U.S.)
- Domino Data Lab Inc., (U.S.)
- Dataiku (U.S.)
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Global Data Science Platform Market Segmentations:
Component Type
- Platform
- Services
- Professional Services
- Support and Maintenance
- Consulting
- Deployment and Integration
- Managed 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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