The 2022 Market Guide Reports for Multipersona and Engineering Data Science and ML Platforms

Dataiku Recognized as a Representative Vendor in Both Market Guide Reports

Dataiku, a 2x Leader (2020 and 2021) in the Magic QuadrantTM for Data Science and ML Platforms, is cited by Gartner in both the Market Guide for Multipersona Data Science and ML Platforms and the Market Guide for DSML Engineering Platforms.

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

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The Market Guide for Multipersona Data Science & ML Platforms

Empowering More People Across the Organization

According to Gartner, “The primary aim of multipersona DSML platforms is to create value through democratization. This is achieved by bringing the power of DSML to a wider technical and nontechnical audience while hiding complexity under the hood by automation and augmentation throughout all phases in the DSML development and operationalization process.”




The Market Guide for DSML Engineering Platforms

Technical Experts: Build, Engineer, & Orchestrate Advanced ML and AI Projects

According to Gartner, “Data science and ML engineering platforms consist of a core product and supporting portfolio of integrated products, components, libraries, and frameworks (including proprietary, partner-sourced, and open source) for the development and operations of machine learning solutions integrated with typically complex, innovative, and highly scalable applications.”

Gartner, Inc., Market Guide for DSML Engineering Platforms, Afraz Jaffri, Erick Brethenoux, et al. May 2022. Market Guide for Multipersona Data Science and Machine Learning Platforms, Pieter den Hamer, Carlie Idoine, et al. May 2022. 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. © [2022] Gartner, Inc. and/or its affiliates. All rights reserved. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku.