IBM is named a Leader in Data Science & Machine Learning
IBM has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We think this is an acknowledgment of our commitment to delivering flexible, AI-focused solutions that we feel empower data scientists and machine learning engineers to build, deploy, and govern impactful AI applications across their enterprises.
What we think you'll get in this report:
- An overview of the challenges faced by data science and machine learning teams today, including barriers to responsible AI, cost optimization, and automation at scale
- Insights into IBM’s watsonx portfolio, which offers flexibility with open-source and proprietary frameworks, models, and deployment options
- How we feel IBM simplifies AI-ready data management with watsonx.data and other technology
- Details on IBM’s innovative tools such as Granite foundation models, BeeAI no-code platform, and AutoAI for RAG pipeline automation
Whether you’re creating AI strategies or scaling enterprise solutions, this report provides insights needed to choose a leader in data science and machine learning platforms.
Sign up to download the full report.
Attribution and disclaimers: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, May 28, 2025, Afraz Jaffri. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
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.
IBM is named a Leader in Data Science & Machine Learning
IBM has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We think this is an acknowledgment of our commitment to delivering flexible, AI-focused solutions that we feel empower data scientists and machine learning engineers to build, deploy, and govern impactful AI applications across their enterprises.
What we think you'll get in this report:
- An overview of the challenges faced by data science and machine learning teams today, including barriers to responsible AI, cost optimization, and automation at scale
- Insights into IBM’s watsonx portfolio, which offers flexibility with open-source and proprietary frameworks, models, and deployment options
- How we feel IBM simplifies AI-ready data management with watsonx.data and other technology
- Details on IBM’s innovative tools such as Granite foundation models, BeeAI no-code platform, and AutoAI for RAG pipeline automation
Whether you’re creating AI strategies or scaling enterprise solutions, this report provides insights needed to choose a leader in data science and machine learning platforms.
Sign up to download the full report.
Attribution and disclaimers: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, May 28, 2025, Afraz Jaffri. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
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.