DataRobot is proud to announce that Gartner® has once again named us a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms, recognized for both Completeness of Vision and Ability to Execute.
We believe DataRobot’s recognition in the 2025 Gartner® Magic Quadrant™ for DSML Platforms reflects our ability to help teams build and deliver production-ready AI agents, the flexibility to build and orchestrate your own agent-driven applications, and our highly-regarded governance and safety capabilities.
Download the report to discover what to look for in your AI and agentic AI platform and insights about recognized vendors for their Completeness of Vision and Ability to Execute.
Get your complimentary copy of the 2025 Magic Quadrant for Data Science and Machine Learning Platforms, courtesy of DataRobot, and see why DataRobot is a Leader.
Attend our upcoming webinar and Q&A session to hear how AI leaders are using DataRobot to build and deploy AI agents across systems like SAP and NVIDIA—and why they chose us to scale AI across their departments.
Join our upcoming webinar and Q&A to hear how enterprise leaders are using DataRobot.
Hear from your peers
See what users are saying in more than 700 reviews on Gartner® Peer Insights™.
Rated 4.6/5 in Data Science and Machine Learning Platforms. As of May 13, 2025 based on 707 reviews.
1. Source: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, May 28, 2025.
2. Source: Gartner, Voice of the Customer for Data Science and Machine Learning Platforms, Peer Contributors, November 29, 2024.
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’s 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.
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 DataRobot.
Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.