Key players in global Data Science Platforms Market in terms of value include IBM (US), Google (US), Microsoft (US), SAS (US), DotData (US), SAP (US), Spell (US), AWS (US), Cloudera (US), Comet (US), TIBCO (US), MathWorks (US), Alteryx (US), RapidMiner (US), Snowflake (US), Databricks (US), H2O .ai (US), Noogata (US), Tecton (US), Altair (US), and Iterative (US).

The latest market report from Credence Research “Global Data Science Platform Market: Growth, Future Prospects and Competitive Analysis, 2016 – 2028″. That The global data science platforms market realized revenue of around US$94.7 billion in 2021 and is expected to grow at a CAGR of over 27.30% to reach around US$403.01 billion in 2028 during the forecast period of 2022-2028 for data science platforms is approximately $308.31 billion from 2022 to 2028.

Larger investments in research and development have led to rapid technological development. As a result, there is a growing need for technologies that can increase productivity and efficiency as businesses grow. Platform and software usage is increasing due to the popularity of technologies such as machine learning (ML), artificial intelligence (AI), and the Internet of Things (IoT). Modern data processing systems and solutions are crucial for business expansion as data volumes continue to increase. As machine learning becomes more prevalent, there is a need for data science platforms that make it easy to design, train, scale, and deploy ML models. Machine learning and artificial intelligence are also driving data science and data management.

The global data science platforms market is segmented into components, deployment mode, company size, business function, industry vertical, and geography. Based on components, the market is categorized into platforms and services. On the basis of deployment mode, the global market is segmented into cloud and on-premises. Based on organization size,…