Process.Science has been named an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Process Mining Platforms once again. In a market shaped by global players, this renewed recognition is a strong signal: our approach is gaining traction and visibility.
The Gartner® Magic Quadrant™ is one of the most important benchmarks for evaluating Process Mining platforms. It assesses how well vendors execute today and how clearly they are positioned for the future. Being included means being on Gartner’s radar as a serious and emerging contender. And since the number of Honorable Mentions is intentionally limited, being recognized again carries real weight.
At Process.Science, we take a different approach. Instead of building another standalone tool, we bring Process Mining directly into Microsoft Power BI and Qlik Sense. This makes adoption significantly easier, as there is no need for an additional system landscape. More importantly, it ensures that insights are available exactly where decisions are made, turning analysis into action much faster. Combined with high performance, transparent licensing, and close collaboration with our customers, this creates real value in day-to-day operations and not just in theory.
Process Mining is evolving quickly. What used to be about understanding processes is now about actively improving them. Continuously and in real time. Organizations expect more than visibility. They need intelligent insights, immediate actionability, and the ability to respond to change without delay. The shift is clear: from analysis to execution.
For our customers, this recognition is more than just a mention. It confirms that they are working with a solution that is internationally acknowledged, aligned with market developments, and designed for real-world use. At the same time, we continue to invest in deeper integrations, smarter analytics, and an even better user experience.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation.
Process.Science has been named an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Process Mining Platforms once again. In a market shaped by global players, this renewed recognition is a strong signal: our approach is gaining traction and visibility.
The Gartner® Magic Quadrant™ is one of the most important benchmarks for evaluating Process Mining platforms. It assesses how well vendors execute today and how clearly they are positioned for the future. Being included means being on Gartner’s radar as a serious and emerging contender. And since the number of Honorable Mentions is intentionally limited, being recognized again carries real weight.
At Process.Science, we take a different approach. Instead of building another standalone tool, we bring Process Mining directly into Microsoft Power BI and Qlik Sense. This makes adoption significantly easier, as there is no need for an additional system landscape. More importantly, it ensures that insights are available exactly where decisions are made, turning analysis into action much faster. Combined with high performance, transparent licensing, and close collaboration with our customers, this creates real value in day-to-day operations and not just in theory.
Process Mining is evolving quickly. What used to be about understanding processes is now about actively improving them. Continuously and in real time. Organizations expect more than visibility. They need intelligent insights, immediate actionability, and the ability to respond to change without delay. The shift is clear: from analysis to execution.
For our customers, this recognition is more than just a mention. It confirms that they are working with a solution that is internationally acknowledged, aligned with market developments, and designed for real-world use. At the same time, we continue to invest in deeper integrations, smarter analytics, and an even better user experience.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation.