Gartner Quadrant for Data Science and Machine Learning

This provides an interesting list, but not sure I buy what the movement from 2017-2018 implies, given that the definitions are changing, but still a worthwhile look.  Just the list of players and their general position is interesting.  Actual plots at the link.

Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms

We compare Gartner 2018 Magic Quadrant for Data Science, Machine Learning Platforms vs its 2017 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, Alteryx, H2O.ai, and Domino. 
By Gregory Piatetsky, KDnuggets.  .... 

Gartner keeps changing the names for this report (and by implication the market segment) - the latest 2018 version, published Feb 23, 2018, is called "Magic Quadrant for Data Science and Machine-Learning Platforms" (with an old-fashioned dash between Machine and Learning). In 2017 it was "MQ for Data Science Platforms", and in 2014-2016 it was "MQ for Advanced Analytics Platforms". This change reflects the rapid changes in the industry, both in terms of content and capabilities. and the evolving branding which reflects the growth of AI and Machine Learning. .... "