We’re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms. We believe this recognition reflects our continued commitment to providing organizations with a comprehensive toolchain for building and deploying machine learning models and AI applications, transforming how businesses operate. Azure Machine Learning is part of a broad, interoperable ecosystem across Microsoft Fabric, Microsoft Purview, and within Azure AI Foundry.
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation, and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment, and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
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At Microsoft, we envision a unified experience where data scientists, AI engineers, developers, IT operations professionals, and business users come together to create applications and manage the entire AI lifecycle across personas and projects. To that end, in November 2024, we announced the availability of Azure AI Foundry—a platform that allows developers to design, customize, and manage AI applications. Azure Machine Learning is a trusted workbench that exists on top of Azure AI Foundry and powers the underlying tool chain technology, with capabilities for model customization, including fine-tuning and RAG.
As part of Azure AI Foundry, the Foundry Agent Service empowers developer teams to orchestrate AI agents that automate complex, cross-functional workflows. Whether building solutions for software engineering, business process automation, customer support, or data analysis, Foundry Agent Service provides a robust, secure, and interoperable foundation to operationalize AI agents in production environments.
Together, Azure Machine Learning and Foundry Agent Service enable a future where AI systems are designed for enterprise use with scalability and security in mind.
Azure AI Foundry offers developers an innovative method of deploying and managing its over 11,000 AI models with tools like the Model Router, Model Leaderboard, and Model Benchmarks.
These capabilities empower businesses to deploy flexible and adaptive AI systems with enterprise-grade performance, security, and governance. With integrated innovation from Microsoft and its ecosystem, users gain access to future-ready solutions that enhance efficiency and scalability, ensuring they stay ahead in the rapidly evolving AI landscape.
Fine-tuning is an essential tool for organizations aiming to customize pre-trained AI models for specific tasks, enhancing their performance, accuracy, and adaptability, all while reducing operational costs. Fine-tuning in Azure AI Foundry is powered by the underlying Azure Machine Learning tool chain.
Together, these capabilities enable developers and enterprises to unlock the full potential of their AI systems, driving innovation and efficiency in the rapidly evolving digital landscape.
From healthcare and finance to manufacturing and retail, customers are using Azure Machine Learning to solve complex problems, optimize operations, and unlock new business models. Whether it’s deploying foundation models, orchestrating AI agents, or scaling real-time inference, Microsoft is helping organizations turn data into impact.
The migration to Azure is just the beginning. We’ve laid the foundation to explore opportunities we could only imagine before.
Machine learning is revolutionizing the operational and competitive landscape for businesses in the digital age. It offers opportunities to optimize business processes, improve customer experiences, and drive innovation. Azure Machine Learning serves as a robust and versatile platform for machine learning and data science, enabling organizations to implement AI solutions responsibly and effectively.
Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, By Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 May 2025.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from [https://www.gartner.com/en/documents/6533902].
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