SAS Continues Leadership Streak In Gartner’s 2024 Magic Quadrant For Data Science And AI

Friday, June 21, 2024

SAS, a global data and AI leader, named a Leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning for the ninth consecutive year.

SAS, an international frontrunner in data and AI, has been named a Leader in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning for its SAS® Viya® platform. This marks the ninth consecutive year that SAS has earned the Leader title in the DSML Magic Quadrant, recognized for its comprehensive vision and strong execution capabilities.

“In today’s world, global disruption is increasing, and information overload is far exceeding human capacity. To overcome these challenges and remain resilient, the best answer is often a combination of multiple analytic techniques and technologies,” said Shadi Shahin, Vice President of Product Strategy at SAS. “Over the years, SAS has been relentless in creating a fully integrated data and AI life cycle. SAS Viya Enterprise has realized this vision, providing an easy, intuitive and seamless experience for businesses to scale human productivity and decision making with AI.” 

According to the Gartner report: “The importance of DSML platforms as a strategic enterprise asset has never been greater. The surge in demand for AI solutions, including GenAI, is at its peak, yet the raw materials of data, models, code and infrastructure have never been more complex to assemble into trusted, scalable products. In the DSML Customer Reference Survey for this Magic Quadrant, 53% of respondents cited GenAI demand as driving a major increase in DSML platform spend in 2024 and beyond.”

As organizations delve into GenAI, SAS has made it a priority to identify industry-specific and ethically sound use cases. The GenAI capabilities of SAS are integrated into flagship products like SAS Viya, a robust data and AI platform designed to enable users of all skill levels to engage in the analytics process. Within the SAS Viya ecosystem, developers, data scientists, IT professionals, and business analysts can collaborate effortlessly throughout the AI and analytics lifecycle, facilitating intelligent decision-making.

1. Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 17 June 2024.

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