Data Science Platform Market Size, Share, Growth and Industry Analysis
The growing inclination of enterprises toward data-intensive business strategies and rising adoption of advanced technologies to create many opportunities for the vendors of data science platform.
Key growth factors for the market include the increasing focus of enterprises on ease of use methods to drive business and growing need to extract in-depth insights from voluminous data to gain a competitive advantage.
Organizations are increasingly moving toward digitalization and automation, which are increasing big data and leading to complex business processes. To deal with these complexities, organizations need advanced technologies that help in gaining real-time insights into a vast pool of data. The data science platform helps them streamline business processes and acquire new customers.
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The growing demand for cloud, IoT, and edge solutions is generating a huge amount of data, thereby increasing the need of advanced technologies for data processing. This need for data processing is boosting the demand for the data science platform in the APAC region. Moreover, the investments by major tech companies are also expected to fuel the growth of the market across the region.
The data science platform market comprises key solution providers, such as IBM Corporation (US), Microsoft Corporation (US), Alphabet Inc. (Google) (US), Altair Engineering, Inc. (US), Alteryx, Inc. (US), MathWorks (Australia), SAS Institute Inc. (US), RapidMiner, Inc. (US), Cloudera, Inc. (US), Anaconda, Inc. (US), Wolfram (US), Dataiku (US), Civis Analytics (US), H2O.ai. (US), Domino Data Lab, Inc. (US), RStudio, Inc. (US), Rapid Insight (US), DataRobot, Inc. (US), Rexer Analytics (US), SAP (Germany), and Databricks (US).