Magic Quadrant is a series of market research reports published by IT consulting firm Gartner that rely on proprietary qualitative data analysis methods to demonstrate market trends, such as direction, maturity and participants. — Wikipedia: Magic Quadrant
At the moment two Gartner Magic Quadrant reports about AI and Machine Learning are available:
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Magic Quadrant for Data Science and Machine Learning Platforms (11.02.2020)
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Magic Quadrant for Cloud AI Developer Services (24.02.2020)
When you look at both 🧙♀️ 🧙♂️ Magic Quadrants, you will notice the following:
- H2O.ai is in both in the Visionaries quadrant (see my two blog posts 1, 2)
- IBM, Microsoft and Google are in both
- Amazon is missing in the first and in the second leading
Amazon is missing in one Magic Quadrant
The Forbes article Gartner’s 2020 Magic Quadrant For Data Science And Machine Learning Platforms Has Many Surprises found the reason why Amazon is missing in one Magic Quadrant:
- Amazon SageMaker Studio and Amazon SageMaker Autopilot were “announced at re:Invent in December while Gartner’s cutoff was November”
- … and the first Magic Quandrant has also the note “As of November 2019”.
Summary
The Magic Quadrants are based on “proprietary qualitative data analysis”, so you don’t need to believe it. But they give a nice overview about ML and AI.
Janakiram MSV, the author of the Forbes article, has another article: Why AutoML Is Set To Become The Future Of Artificial Intelligence
Update: AWS Named as a Leader in Gartner’s Magic Quadrant for Cloud AI Developer Services
