Gartner Magic Quadrant for Business Intelligence - 2022 Update - Excelerator BI

Gartner Magic Quadrant for Business Intelligence – 2022 Update

Updated May 2022

I update this blog article regularly to keep track of how Microsoft is progressing on its strategic journey in building a world class BI platform.  Gartner released the 2022 magic quadrant for Business Intelligence in March 2022.  As expected (by me at least), Microsoft is continuing its trail blazing and has maintained a clear lead over the other contenders in both ability to execute and completeness of vision.  I first wrote this blog article in 2019 to show the trend over time. Since then, I have been collecting the new Gartner magic quadrant images and I have combined them all (2015 – 2022) into an animated gif file (see below).   The visualisation was built using Power BI (what else) so it is very easy to see the changing nature of the competitive environment.  Note that Microsoft started behind back in 2015, and arguably hit the lead in 2018.

Gartner 2022

I extracted this data from printed charts provided by Gartner.  I needed a way to extract the numerical data points from these images.  The rest of this article shows you how to do that.

How To Extract Numeric Data Points from an Image

The following section is from my original post in 2019.  If you missed it, you may like to take a look at how I created this visual now.  It is pretty easy actually, when you know how.  I used this website here

Rather than me document the steps one at a time, I produced a quick video that you can watch below.  Note that this video is a few years old now, so it doesn’t contain all the data through to 2022.

6 thoughts on “Gartner Magic Quadrant for Business Intelligence – 2022 Update”

  1. Thanks Matt!

    Although according to the visual, ‘Completeness of Vision’ for MS has been on the decline since peaking in 2018 – most certainly not our experience!? I’m curious how Gartner would explain that? My only thought is that it is representative of a vision that continuously ‘expanding’ and therefore continuously further from ‘complete’?

    And isn’t ‘Completeness’ – in a world of continuous improvement / continuous delivery – a bit an outmoded measure?

  2. Matt, that’s such an effective way to present the survey results changing over time. Thanks for all you do to help us learn and use these “Power Tools” so we can improve how we work with data.

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