IBM Process Mining enables organizations to identify the business processes that may benefit most from automation by using business system data to create and visualize an end-to-end process to uncover derivations, bottlenecks and inefficiencies that are hidden in business processes.
IBM Process Mining provides users an objective view to analyze business processes, identify areas to focus automation initiatives and create what-if scenarios on prioritizing automation projects.
As a foundational capability of IBM Cloud Paks for Automation, IBM Process Mining finds the best process candidates for automation, calculates expected ROI, and shows the impact of automation initiatives on the entire process before implementation.
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As of March 2026, the mindshare of IBM Process Mining in the Process Mining category
stands at 1.8%, up from 0.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Process Mining Mindshare Distribution
Product
Mindshare (%)
IBM Process Mining
1.8%
Celonis
15.7%
Microsoft Power Automate
14.3%
Other
68.2%
Process Mining
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