Blog post

End of Era Signals New Beginning for Data Science and Machine Learning Magic Quadrant

By Carlie Idoine | October 12, 2021 | 1 Comment

Analytics, BI and Data Science SolutionsArtificial Intelligence

Yesterday, Gartner announced that the Data Science and Machine Learning Platforms Magic Quadrant will be retired when the currently published research archives in March 2022.

But what feels like the end of an era is a new beginning.

For several years now, we have been observing a shift in the analytics market as historically separate markets converge. (See “Worlds Collide as Augmented Analytics Draws Analytics, BI and Data Science Together”.) New and different types of users increasingly want access to the complete continuum of capabilities that provide comprehensive ecosystems and enable new perspectives defined specifically for their individual work.

Data science and machine learning platforms are evolving as client demand is shifting and is now more defined by role-based capabilities. As a result, comparing different vendor groups or market segments together in the same Magic Quadrant has become less representative of the movement within the market and, therefore, less meaningful to our clients. We observe growing differentiation among vendors and distinct groups forming: some vendors actively and primarily focus on and prioritize multi-persona and democratization; other vendors focus more specifically on the needs of a code-based expert audience.

To better serve our clients’ needs, each market segment deserves its own market guide, as will be the case as of March 1, 2022 when the Magic Quadrant for Data Science and Machine Learning Platforms will be retired and replaced by two Market Guides. (Please note that the Market Guide names are subject to change):

  • Market Guide for Multi-persona Data Science and Machine Learning Platforms
  • Market Guide for Expert-centric Data Science and Machine Learning Platforms

To define and position the Market Guides, we also intend to publish a research document entitled “The State of Data Science and Machine Learning Platforms” in the November 2021 timeframe.

Stay tuned for more information about this exciting evolution.

The Gartner Blog Network provides an opportunity for Gartner analysts to test ideas and move research forward. Because the content posted by Gartner analysts on this site does not undergo our standard editorial review, all comments or opinions expressed hereunder are those of the individual contributors and do not represent the views of Gartner, Inc. or its management.

Leave a Comment

1 Comment

  • This is a really great idea Carlie. This added focus will also make it easy for you to distinguish between offerings that are really intended for experts but get marketed to Citizen Data Scientists as opposed to solutions that are built from the ground up to help different personas succeed with tools uniquely focused on their specific needs and skills. It would be really amazing if you could do a bakeoff where MDSMLP (did I get that acronym right?) vendors have to have a business user customer do the entire bakeoff. Even better, give them 30 minutes to train up a randomly selected business user from the audience. Now that would be a bakeoff worth watching 😉