According to the latest report by IMARC Group, titled “Data Science Platform Market Report by Component (Software, Services), Application (Marketing and Sales, Logistics, Finance and Accounting, Customer Support, and Others), Vertical (IT and Telecommunication, Healthcare, BFSI, Manufacturing, Retail and E-Commerce, and Others), and Region 2025-2033”, the global data science platform market size reached USD 15.2 Billion in 2024. A data science platform refers to a software ecosystem that offers a comprehensive and cohesive setting for creating, testing, deploying, and managing data science workflows, models, and applications. These platforms facilitate centralization for data scientists, engineers, and analysts to work collaboratively on data-related projects, and include features for data acquisition, pre-processing, exploratory data analysis, modeling, visualization, and deployment. These platforms are characterized by their flexibility to handle a variety of data types, sources, and formats, inbuilt automation tools, and robust security to protect sensitive data. Data acquisition from diverse sources, building and testing machine learning models, and deploying models to production environments or integrating them with other applications are some common functions of a data science platform. As a result, they play an important role in streamlining and standardizing data processing and modeling workflows, enabling team collaboration, and improving scalability, flexibility, and data security.
Global Data Science Platform Market Trends:
The global market is majorly driven by the accelerating demand for big data analytics to effectively manage and analyze their data. This can be attributed to the increasing volumes of data across various small and large-scale organizations. In line with this, continual advancements in machine learning (ML) and artificial intelligence (AI) technologies resulting in an increasing demand for data science platforms that can support these technologies are providing an impetus to the market. Moreover, a considerable rise in the adoption of cloud-based solutions to facilitate business operations with greater flexibility and scalability as well as lower costs is also resulting in a higher product uptake across several end-use industries. Besides this, the increasing need for data-driven decision making is resulting in the adoption of improved infrastructure to collect, store, and analyze data, which, in turn, is driving the market. Apart from this, the rising concerns regarding data security and privacy are also creating a positive outlook for the market. Some of the other factors contributing to the market growth include rapid urbanization, the advent of Industry 4.0, inflating disposable income levels, rising trend of cloud computing and extensive research and development (R&D) activities. On account of the aforementioned factors, the market is anticipated to reach a value of USD 144.9 Billion by 2033, exhibiting a CAGR of 27.08% during 2025-2033.
Market Summary:
Report Features | Details |
---|---|
Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Billion USD |
Segment Coverage | Component, Application, Vertical, Region |
Region Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
Countries Covered | United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico |
Companies Covered | Alteryx Inc., Cloudera Inc., Dataiku Inc., Google LLC (Alphabet Inc.), H2O.ai Inc., International Business Machines Corporation, Microsoft Corporation, RapidMiner Inc., SAP SE, SAS Institute Inc., The MathWorks Inc. and TIBCO Software Inc. |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
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