UiPath Process Mining
LeaderCommitted to shaping a world where AI enhances human potential & #agentic automation transforms how businesses operate.
Est 2005|Valuation $6B|Raised $2.3B
Committed to shaping a world where AI enhances human potential & #agentic automation transforms how businesses operate.
Published May 16, 2026
UiPath has transitioned Process Mining from earlier standalone lineage to a newer cloud-first integrated product. Organizations migrating from older versions may face app migration work, dashboard rework, and re-validation of KPIs.
UiPath publishes claims for large row counts in testing (e.g., support for large numbers of rows in Automation Cloud and Automation Suite). Buyers should validate these claims against their expected refresh latencies, concurrency needs, and data volume licensing implications.
No major missing certifications are evident in UiPath’s public trust materials; however, buyers should confirm certification scope (service list, region, and date) and review SOC 2 reports under NDA as needed.
PeerSpot provides structured sentiment and quoted snippets.
Gartner’s review pages are frequently access-controlled, making direct quotes difficult to extract via automated browsing. UiPath participates in the Process Mining Platforms category on the Gartner vendor review portal.
UiPath announced being positioned as a Leader in Gartner’s 2024 Magic Quadrant for Process Mining and notes recognition on other analyst matrices (e.g., Everest Group PEAK Matrix).
Critical evaluation: Magic Quadrant and PEAK Matrix positions indicate analyst perception of vendor capability and vision, but they are distinct from verified customer ROI metrics and typically require paid access to review full methodology.
UiPath’s ProcessGold acquisition and related materials list reference customers and partners (for example, Deloitte, KPMG, EY, Porsche, KPN, Philips, Salvation Army) that have implemented ProcessGold’s platform.
Critical evaluation: These are vendor-selected references; announcements do not typically disclose baseline metrics, measurement methodology, or counterfactual comparisons.
PeerSpot and other review sites contain user-reported outcomes such as time saved or reductions in effort. These are anecdotal and not audited, but they can provide directional evidence that benefits are achievable when data quality and adoption are strong.
Common industries include:
Get a comprehensive analysis of UiPath Process Mining including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →If advanced process mining analytics are your primary requirement
If you lack event log readiness and cannot invest in data engineering
If you need very transparent, self-serve pricing and fast procurement
If your organization is sensitive to tool sprawl
If the primary need is low-cost automation rather than discovery
Overall sentiment (G2): UiPath Process Mining is reported to have a generally positive average review score based on a modest number of reviews. Many reviews note usability and insight generation as strengths; criticisms often focus on integration complexity and feature depth.
Review excerpts and paraphrases:
Interpretation: G2 feedback suggests UiPath Process Mining is generally accessible for automation-oriented teams, but data/integration maturity and complex processes can expose limitations.
TrustRadius pages include feedback that is sometimes conflated across the UiPath platform. Representative paraphrases:
Interpretation: TrustRadius content is useful for overall UiPath platform experience, but buyers should validate which feedback specifically applies to Process Mining versus other UiPath modules.
Reddit discussions provide candid commentary on UiPath modules and platform economics.
Interpretation: Community feedback often generalizes across UiPath modules. It highlights real-world adoption frictions: licensing concerns, maintainability, governance needs, and organizational dependency risks.
UiPath Process Mining is a process intelligence/product analytics capability designed to discover, visualize, and monitor current business processes using event log data from enterprise systems (ERP/CRM/ITSM/custom apps). It converts system event data into interactive process dashboards to identify bottlenecks, variants, compliance gaps, and automation candidates, and then links those insights into UiPath’s broader automation lifecycle (e.g., Automation Hub, Task Mining, triggering automations).
UiPath describes the product as converting IT system data into visual dashboards so stakeholders can identify bottlenecks and discrepancies, investigate root causes, and continuously monitor processes.