Gartner Magic Quadrant for Business Intelligence – 2024 Update

By / June 26, 2024

Updated June 2024

We 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 2024 Magic Quadrant for Analytics and Business Intelligence Platforms in June.  As expected (by us 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.  Matt first wrote this article back in 2019 to highlight the emerging trend as Power BI took its place as a clear front runner on the Enterprise BI podium for the first time. Since then, we have been collecting the annual Gartner magic quadrant images and have combined them (2010 – 2024) into an animated gif (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 the pack in 2010, but arguably hit the lead in 2018 as Power BI gained traction in Self Service Data Analytics, and has since set the pace for Enterprise BI platforms, well in front of the pack for the last 6 years.

Gartner2010 24

This data was extracted from printed charts provided by the annual Gartner reports.  To create this visual, we 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 Matt’s original post in 2019.  If you missed it, you may like to take a look at how he created this visual in the video below.  It is pretty easy actually, when you know how.  The key is to use a simple data point mapping tool.  The tool used to create the above visual was the WebPlotDigitizer.

Rather than document the steps one at a time, Matt 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, but the current chart was updated using the same technique.

67 thoughts on “Gartner Magic Quadrant for Business Intelligence – 2024 Update”

  43. Tech Pragna

    Always fascinating to see how the BI landscape evolves year after year. The 2024 update really highlights how leaders like Microsoft and Google continue to push the envelope with AI integration and user friendly analytics tools. It’s a great snapshot of where the industry is headed and a helpful guide for anyone evaluating platforms that balance innovation with execution.

  44. Tech Pragna

    The 2024 Gartner Magic Quadrant for Business Intelligence is out, and it’s fascinating to see how the landscape continues to evolve. Microsoft holding the Leader position for the 17th year is impressive, but what really stands out is how AI integration like Copilot in Power BI—is reshaping how we interact with data. Definitely a must-read for anyone tracking BI trends or evaluating platforms for their organization.

  45. Tech Pragna

    The ‘Gartner Magic Quadrant for Business Intelligence 2024 Update’ is a must read for anyone navigating the evolving analytics landscape. With AI integration, cloud native platforms, and self service BI taking center stage, this report offers a clear snapshot of who’s leading, who’s innovating, and where the market is heading. Whether you’re a data strategist, tech buyer, or just BI curious, this update delivers valuable insights to guide smarter decisions in 2024 and beyond.

  61. techpragna

    Here’s a comment summarizing the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms:

    The 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms recognizes Microsoft, Google, Oracle, and ThoughtSpot as Leaders, highlighting their innovation and comprehensive solutions. Microsoft’s Power BI continues to lead with its integration into Microsoft Fabric and the introduction of Copilot for enhanced user productivity. Google’s Looker, now a Leader, offers a multicloud architecture and seamless integration with Google Cloud services. Oracle’s Analytics Cloud stands out for its deep integration with Oracle’s enterprise ecosystem, while ThoughtSpot excels with its AI-driven analytics and composable architecture. These platforms are setting the standard for modern, AI-augmented business intelligence.

  62. Jeff Sararas

    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?

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