Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair’s data analytics and AI platform, has been positioned by Gartner as a Leader in the Magic Quadrant for Data Science and Machine Learning Platforms. The evaluation was based on specific criteria that analyzed the completeness of the company’s overall vision and ability to execute.
“We believe being recognized as a Leader for the second year in a row further validates Altair’s expertise in data science and machine learning. Our unique, world-leading solutions for data preparation, AI development, orchestration and automation enable organizations to turn data into intelligence faster and more effectively,” said Sam Mahalingam, Altair’s Chief Technology Officer. “We are constantly pushing the boundaries of innovation, and by joining the Siemens ecosystem, we will help our customers build, automate, and deploy AI faster than ever before.”
Altair RapidMiner’s full-stack AI capabilities, from low-code AutoML to advanced MLOps, agent frameworks, and rapid visualization, enable organizations to quickly prototype, deploy, and scale AI applications. This platform also provides native support for SAS language execution. It is one of only two platforms in the world with this feature. This allows customers to modernize their workflows while preserving and extending the value of their existing analytics investments. Another notable differentiator is Altair RapidMiner’s massively parallel processing (MPP) graph engine designed to support knowledge graphing, data fabric, and ontology modeling at enterprise scale.
According to the report, “Leaders in this market have mature, sophisticated, and targeted enterprise and platform strategies that incorporate and leverage GenAI and AI agents to drive business value for their customers. They see opportunities to leverage agents that other providers don’t see, or they have made significant investments beyond standard offerings. They have the ability to innovate faster than other vendors. Additionally, they have the ability to innovate faster than other vendors. You can clearly explain how to deliver value to multiple types of personas involved in the process of building science and machine learning models. ”
Magic Quadrant reports are the culmination of rigorous, fact-based research into specific markets, providing a wide-angle view of the relative position of providers in high-growth, highly differentiated markets. Providers are placed into four quadrants: Leaders, Challengers, Visionaries, and Niche Players. This research allows you to make the most of market analysis tailored to your unique business and technology needs.
To download the full report, please visit https://web.altair.com/altair-recognized-as-a-leader-in-the-2025-gartner-mq-dsml-report.
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Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, May 28, 2025.
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