
TROY, MI, June 3, 2025 – Altair has 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 criteria that analyzed the company’s overall Completeness of Vision and Ability to Execute.
“We think being recognized as a Leader for the second consecutive year further validates Altair’s expertise in data science and machine learning. Our unique, world-leading solution for data preparation, AI development, orchestration, and automation, empowers organizations to turn data into intelligence faster and more effectively,” said Sam Mahalingham, chief technology officer, Altair. “We continually push the limits of innovation, and now having joined the Siemens ecosystem, we will help our customers build, automate, and deploy AI faster than ever.”
Altair RapidMiner provides a set of tools that support the end-to-end development and operationalization of AI systems. It includes low-code AutoML for model development, MLOps capabilities for deployment, agent-based frameworks, and visualization tools that help interpret outputs at scale. The platform supports native execution of SAS language, allowing organizations to maintain compatibility with existing analytics processes. Another noteworthy differentiator is Altair RapidMiner’s parallel processing (MPP) graph engine designed to support knowledge graph creation, data fabrics, and ontology modeling at enterprise scale.
According to the report, “Leaders in this market have a mature, refined and targeted company and platform strategy that incorporates and leverages GenAI and AI agents to drive their customers’ business value. They see opportunities for leveraging agents that other providers may not see or have made significant investments above and beyond standard offerings. They have the capability to innovate at a speed that outperforms other vendors. In addition, they can clearly articulate how they provide value to the multiple types of personas involved in the process of building data science and machine learning models.”
Magic Quadrant reports are based on structured research within defined technology markets. They offer a comparative view of vendors, in segments characterized by growth and differentiation. Vendors are categorized into four groups – Leaders, Challengers, Visionaries, and Niche Players – based on their performance and business strategy. The framework is intended to help organizations align vendor capabilities with business and technical requirements.
Source: Altair
About Altair
Altair Engineering Inc., founded in 1985 and headquartered in Troy, MI, is a computational science and AI leader. The company offers software and cloud solutions across various domains, including product development, high-performance computing (HPC), simulation, AI, and data analytics. Altair’s comprehensive, open-architecture platforms empower organizations to design efficient and sustainable products and processes. Altair has established itself as a key player in engineering and enterprise analytics, serving the automotive, aerospace, and manufacturing industries.