Dataiku Named in The 2022 Gartner® Market Guides for Multipersona and Engineering Data Science and Machine Learning Platforms

Dataiku Named in The 2022 Gartner® Market Guides for Multipersona and Engineering Data Science and Machine Learning Platforms

Dataiku Recognized as a Representative Vendor in Both Market Guides

Dataiku, a 2x Leader (2020 and 2021) in the Magic Quadrant™ for Data Science and ML Platforms, today announced that it has been identified as a Representative Vendor by Gartner in both the Market Guide for Multipersona Data Science and Machine Learning Platforms1 and the Market Guide for DSML Engineering Platforms.2

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Read why the Magic Quadrant™ for Data Science and ML Platforms was retired and how to access both Gartner Market Guides in the blog “Making Everyday AI a Reality: Dataiku Cited in Gartner 2022 Market Guides” 

“We believe being listed as a Representative Vendor in both Gartner Market Guides — one that focuses on democratization and bringing in non-experts to AI projects and one that focuses on scaling advanced ML and AI projects — reinforces Dataiku’s value: empowering all people in a central place, accelerating the time it takes to deliver AI projects, and governing the lifecycles of all AI projects,” said Florian Douetteau, co-founder and CEO of Dataiku.

Both analytics leaders and practitioners alike can use this research for analyst-backed insights on the two types of platforms, functionalities that each prioritize, key trends in each market, and more. According to Gartner, “The AI and data science platform market is due to grow to over $10 billion by 2025 at a 21.6% compounded annual growth rate. This growth in the market mirrors the investments made by organizations in data science and ML initiatives, which are largely turning from strategy to execution.”

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1Gartner, Inc., Market Guide for Multipersona Data Science and Machine Learning Platforms, Pieter den Hamer, Carlie Idoine, et al. 2 May 2022.

2Market Guide for DSML Engineering Platforms, Afraz Jaffri, Erick Brethenoux, et al. 2 May 2022.

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Gartner does not endorse any vendor, product or service depicted in our 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.

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