Data Science and Machine Learning Platforms Market Share Expands as Enterprises Embrace AI-Driven Decision Making | Valuates Reports

Data Science and Machine Learning (DSML) Platforms Market Size
The global market for Data Science and Machine Learning (DSML) Platforms was valued at US$ 866 million in the year 2024 and is projected to reach a revised size of US$ 1409 million by 2031, growing at a CAGR of 7.5% during the forecast period.
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The Data Science and Machine Learning (DSML) Platforms Market is witnessing rapid growth as organizations across industries leverage data-driven insights to gain a competitive edge. These platforms serve as centralized environments for building, deploying, and managing machine learning models, enabling faster and more scalable AI adoption.

In terms of market size, the industry is expanding significantly, driven by the exponential growth in enterprise data, cloud adoption, and the urgent need for real-time analytics. Businesses in sectors such as finance, healthcare, retail, and manufacturing are accelerating their investments in DSML platforms to automate operations and enhance customer experience.

From a market share perspective, cloud-native DSML solutions are gaining traction, especially among mid-to-large enterprises seeking flexibility and lower infrastructure costs. Open-source integration and the rise of low-code/no-code platforms are also reshaping market dynamics, making advanced analytics more accessible to non-technical users.

Market growth is being propelled by key trends such as MLOps, AutoML, and model interpretability. As organizations move from experimentation to production-level deployment of machine learning models, demand for robust platform features such as versioning, monitoring, and scalability is increasing sharply.

According to current market analysis, vendors are focusing on enhancing platform capabilities through integration with business intelligence tools, data lakes, and cloud ecosystems. The competitive landscape is marked by partnerships between cloud providers, AI startups, and enterprise software vendors aiming to deliver end-to-end AI solutions.

With rising digital transformation initiatives worldwide, revenue from the DSML Platforms Market is expected to grow steadily, establishing it as a foundational technology in the era of intelligent enterprise systems.

Segment by Type

• Cloud-based
• On-premises

Segment by Application

• BFSI
• Healthcare and Life Science
• Manufacturing
• Media and Retail
• Other

By Company

Google, Databricks, Deepnote, Saturn Cloud, Alteryx, Dataiku, DataRobot, AWS, MathWorks, Altair, IBM, SAS, Anaconda, Posit Software, Hex Tech, DataCamp, Domo, Snowflake

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