{"id":41506,"date":"2025-06-12T09:30:00","date_gmt":"2025-06-12T16:30:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/en-us\/blog\/?p=41506"},"modified":"2025-06-12T09:14:57","modified_gmt":"2025-06-12T16:14:57","slug":"microsoft-recognized-for-second-consecutive-year-as-a-leader-in-the-2025-gartner-magic-quadrant-for-data-science-and-machine-learning-platforms","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-recognized-for-second-consecutive-year-as-a-leader-in-the-2025-gartner-magic-quadrant-for-data-science-and-machine-learning-platforms\/","title":{"rendered":"Microsoft recognized for second consecutive year as a Leader in the 2025 Gartner\u00ae Magic Quadrant\u2122 for Data Science and Machine Learning Platforms"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">We\u2019re proud to share that Microsoft has once again been named a Leader in the<a href=\"https:\/\/www.gartner.com\/doc\/reprints?id=1-2L3SH1EP&amp;ct=250529&amp;st=sb\" target=\"_blank\" rel=\"noreferrer noopener\"> 2025 Gartner\u00ae Magic Quadrant\u2122 for Data Science and Machine Learning (DSML) Platforms<\/a>. 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. <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Learning<\/a> is part of a broad, interoperable ecosystem across Microsoft Fabric, Microsoft Purview, and within <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Azure AI Foundry<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Gartner_MQ_updated_2.webp\" alt=\"A white grid with blue dots\" class=\"wp-image-41618 webp-format\" style=\"width:666px;height:auto\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/06\/Gartner_MQ_updated_2.webp\"><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.gartner.com\/doc\/reprints?id=1-2L3SH1EP&amp;ct=250529&amp;st=sb\" target=\"_blank\" rel=\"noreferrer noopener\">Explore the full 2025 Gartner Magic Quadrant for DSML Platforms<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"leading-the-way-in-2025\">Leading the way in 2025<\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">With Microsoft, we\u2019re turning our media expertise into a competitive advantage\u2014and harnessing data to build brands and drive business growth.<\/p>\n<cite>\u2014Callum Anderson, Global Director for DevOps and SRE at <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/19582-dentsu-azure-kubernetes-service\" target=\"_blank\" rel=\"noreferrer noopener\">Dentsu<\/a>.<\/cite><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">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\u2014a 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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"advancing-ai-with-azure-machine-learning-and-intelligent-agents\">Advancing AI with Azure Machine Learning and intelligent agents<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As part of Azure AI Foundry, the <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-agent-service\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Foundry Agent Service<\/strong><\/a> 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.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">With support for <strong>multi-agent orchestration<\/strong>, developers can design agent systems that coordinate across tasks, share state, recover from failures, and evolve flexibly as requirements change. These agents can be grounded in enterprise knowledge using <strong>Microsoft Fabric, Bing, and SharePoint<\/strong>, while interacting with both proprietary and third-party tools thanks to open standards like <strong>MCP (Model Context Protocol) and A2A (Agent2Agent)<\/strong>.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Developers can start building locally using open-source frameworks like <strong>Semantic Kernel<\/strong> and <strong>AutoGen<\/strong>, and we&#8217;re on a clear path toward delivering a <strong>unified SDK<\/strong> across the two frameworks and Azure AI Foundry that allows you to move from local experimentation to production in cloud without rewriting any code. This ensures consistent developer experience\u2014from initial prototyping to managed orchestration with observability and enterprise-grade control.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Together, <strong>Azure Machine Learning<\/strong> and <strong>Foundry Agent Service<\/strong> enable a future where AI systems are designed for enterprise use with scalability and security in mind.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"leveraging-ai-models-with-azure-ai-foundry\">Leveraging AI models with Azure AI Foundry<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">The Model Leaderboard simplifies the comparison of model performance across real-world tasks, providing transparent benchmark scores, task-specific rankings, and live updates, enabling users to select the high accuracy, fast throughput, or competitive price-performance ratio efficiently.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Model Benchmarks in Azure AI Foundry offer a streamlined way to compare model performance using standardized datasets, while also allowing customers to evaluate models on their own data to identify the best fit for their specific scenarios.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Complementing this, the Model Router\u2014available now for Azure OpenAI models\u2014dynamically routes queries to the most suitable large language model (LLM) by assessing factors such as query complexity, cost, and performance, ensuring high-quality results while minimizing compute expenses.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"optimizing-ai-performance-with-fine-tuning-in-azure-ai-foundry\">Optimizing AI performance with fine-tuning in Azure AI Foundry<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">With innovations such as Reinforcement Fine-Tuning (RFT) using the o4-mini model, Azure AI Foundry enables developers to improve reasoning, context-aware responses, and dynamic decision-making through reinforcement signals. This adaptability is particularly suited for applications requiring ongoing learning, making it an ideal method for evolving business logic and ensuring models stay relevant in dynamic environments.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Azure AI Foundry further simplifies fine-tuning with features such as Global Training and the Developer Tier. Global Training lowers costs by allowing model customization across multiple Azure regions, giving developers flexibility and scalability while adhering to strict privacy policies. The Developer Tier offers an affordable way to evaluate fine-tuned models, enabling simultaneous testing across deployments and empowering users to choose the best candidate for production with precision and efficiency.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"enabling-organizations-to-deploy-ai-solutions\">Enabling organizations to deploy AI solutions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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\u2019s deploying foundation models, orchestrating AI agents, or scaling real-time inference, Microsoft is helping organizations turn data into impact.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/19756-mars-azure-machine-learning\" target=\"_blank\" rel=\"noreferrer noopener\">Mars Science &amp; Diagnostics uses Azure AI to make the world a healthier place for pets<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/23953-accenture-azure-ai-foundry\" target=\"_blank\" rel=\"noreferrer noopener\">Accenture champions responsible AI, gains faster time to market with Azure AI Foundry<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/20135-open-grid-europe-gmbh-azure-marketplace\" target=\"_blank\" rel=\"noreferrer noopener\">Efficient control with Microsoft Fabric optimizes hydrogen production at OGE<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/18810-coles-group-azure\" target=\"_blank\" rel=\"noreferrer noopener\">Coles Supermarkets embraces AI, cloud applications in 500-plus stores with Azure Stack HCI<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"begin-your-journey-with-azure-machine-learning\">Begin your journey with Azure Machine Learning&nbsp;<\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">The migration to Azure is just the beginning. We\u2019ve laid the foundation to explore opportunities we could only imagine before.<\/p>\n<cite>\u2014Steve Fortune, Chief Digital and Technology Officer at <a href=\"https:\/\/www.microsoft.com\/en\/customers\/story\/23950-csx-azure-vmware-solution\" target=\"_blank\" rel=\"noreferrer noopener\">CSX<\/a>.<\/cite><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">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. <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/machine-learning\/?msockid=1421922a378a69bd286587843630686a\" target=\"_blank\" rel=\"noreferrer noopener\">Azure Machine Learning<\/a> serves as a robust and versatile platform for machine learning and data science, enabling organizations to implement AI solutions responsibly and effectively.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Read the report: <a href=\"https:\/\/www.gartner.com\/doc\/reprints?id=1-2L3SH1EP&amp;ct=250529&amp;st=sb\" target=\"_blank\" rel=\"noreferrer noopener\">Magic Quadrant Data Science Machine Learning Platforms 2025<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Discover more at <a href=\"https:\/\/www.microsoft.com\/en-us\/customers\/search?sq=%22Azure+Machine+Learning%22&amp;ff=&amp;p=0&amp;so=story_publish_date+desc&amp;q=Azure+Machine+Learning\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Customer Stories<\/a>.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/www.gartner.com\/doc\/reprints?id=1-2L3SH1EP&amp;ct=250529&amp;st=sb\" target=\"_blank\" rel=\"noreferrer noopener\">Read the report<\/a><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, By Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, 28 May 2025.&nbsp;<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>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.&nbsp;<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>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].&nbsp;<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner\u2019s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner\u00ae Magic Quadrant\u2122 for Data Science and Machine Learning (DSML) 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