The Ultimate List of Process Mining Tools for 2025

The Ultimate List of Process Mining Tools in 2025

Are you looking for the most complete overview of process mining software, platforms, and solutions for 2025? You are in the right place. This list covers every major process mining tool, from open source and free options to enterprise-grade solutions like Celonis, IBM Process Mining, ARIS Process Mining, iGrafx, and more. Whether you are a business leader, analyst, or IT professional, you will find the right fit for your needs here. Check out the best process mining applications for 2025 if you are looking for a more detailed comparison.

If you want to move beyond just comparing tools and are searching for a platform that makes process mining, modeling, and simulation truly accessible, take a look at ProcessMind. Our Clarity Engine delivers stable, human-readable process maps, seamless integrations, and a self-service experience designed for teams of all sizes. With ProcessMind, you can map, mine, and simulate your processes in one unified workspace. No complexity, just results.

Ready to experience process mining made easy? Start your free trial with ProcessMind now!

1. Celonis: Enterprise-Wide Optimization

Celonis is a leading enterprise process mining platform focused on execution management and operational excellence. It helps large organizations optimize processes end-to-end with advanced analytics and automation.

• Acquisitions: PAFNow (Mar 2022), Symbio (Nov 2023)
• HQ: Munich, Germany
• Company Size: Enterprise vendor
• Deployment: SaaS (enterprise hybrid/on-prem connectors available)
• Website: https://www.celonis.com
• Pro: Best-in-class execution management and enterprise integrations
• Con: High complexity and implementation overhead for smaller teams

2. UiPath Process Mining: RPA and Mining Integration

UiPath Process Mining combines process mining with robotic process automation (RPA) for seamless automation insights. It enables organizations to discover, analyze, and optimize processes alongside their automation initiatives.

• Acquisitions: ProcessGold (Oct 2019)
• HQ: New York, US
• Company Size: Enterprise vendor
• Deployment: SaaS / On-Prem
• Website: https://www.uipath.com/platform/agentic-automation/process-intelligence
• Pro: Tight RPA integration and strong ecosystem/community
• Con: Learning curve for non-RPA teams; cost can scale with automation scope

3. IBM Process Mining: Enterprise-Grade Scale

IBM Process Mining delivers scalable process intelligence for large enterprises. It integrates deeply with the IBM ecosystem to provide robust analytics and process optimization.

• Acquisitions: myInvenio (Apr 2021)
• HQ: Armonk, NY, US
• Company Size: Enterprise vendor
• Deployment: SaaS / On-Prem
• Website: https://www.ibm.com/products/process-mining
• Pro: Robust analytics with deep IBM stack integration
• Con: Complex setup and premium pricing

4. ARIS Process Mining (Software AG): Real-Time Monitoring and Compliance

ARIS Process Mining offers real-time process monitoring and compliance management. It is designed for organizations needing strong governance and conformance checking.

• Acquisitions: —
• HQ: Darmstadt, Germany
• Company Size: Enterprise vendor
• Deployment: SaaS / On-Prem
• Website: https://aris.com/process-mining/
• Pro: Strong conformance checking and governance
• Con: Can be complex for non-technical users

5. SAP Signavio Process Intelligence: SAP-Centric Transformation

SAP Signavio Process Intelligence is tailored for SAP-driven digital transformation. It provides collaborative modeling and process mining tightly integrated with SAP systems.

• Acquisitions: Signavio (Mar 2021)
• HQ: Berlin, Germany
• Company Size: Enterprise vendor
• Deployment: SaaS
• Website: https://www.signavio.com
• Pro: Seamless SAP integration and collaborative modeling
• Con: Less compelling outside SAP landscape; higher TCO for SMBs

6. Pega Process Mining: Connecting Operations to Customer Experience

Pega Process Mining links operational analytics with customer experience outcomes. It leverages low-code tools and real-time data to drive process improvements.

• Acquisitions: Everflow (May 2022)
• HQ: Cambridge, MA, US
• Company Size: Enterprise vendor
• Deployment: SaaS / On-Prem
• Website: https://www.pega.com/products/platform/process-mining
• Pro: Low-code + real-time analytics aligned to CX outcomes
• Con: Complex enterprise platform; pricing not always transparent

7. Apromore: Balanced Analytics and Usability

Apromore is a process mining platform known for its user-friendly interface and strong analytics. It is rooted in academic research and offers both SaaS and on-premises options.

• Acquisitions: Acquired by Salesforce (Nov 2025) (per input)
• HQ: Carlton, Australia
• Company Size: Medium vendor
• Deployment: SaaS / On-Prem
• Website: https://www.apromore.com
• Pro: Strong analytics, approachable UI, academic roots
• Con: Enterprise features/licensing required for full scale

8. QPR ProcessAnalyzer: Compliance and Risk Analytics

QPR ProcessAnalyzer specializes in compliance, risk analytics, and conformance checking. It is widely used for root-cause analysis and governance in regulated industries.

• Acquisitions: —
• HQ: Helsinki, Finland
• Company Size: Medium/Large vendor
• Deployment: On-Prem / SaaS
• Website: https://www.qpr.com
• Pro: Excellent for conformance, root-cause analysis, and governance
• Con: May require specialist training to master

9. ABBYY Timeline: Document-Centric Journeys

ABBYY Timeline focuses on process mining from document and event data. It uses AI to extract and analyze process flows from diverse business systems.

• Acquisitions: TimelinePI (Aug 2019)
• HQ: Milpitas, CA, US
• Company Size: Enterprise vendor
• Deployment: SaaS
• Website: https://www.abbyy.com/timeline/
• Pro: AI-driven event extraction from documents and systems
• Con: Premium pricing; strong data-prep discipline required

10. iGrafx Process360 Live: End-to-End Process Intelligence

iGrafx Process360 Live unifies process modeling, mining, and simulation in one platform. It supports end-to-end process intelligence with role-based views and analytics.

• Acquisitions: Logpickr (Apr 2022)
• HQ: Tualatin, OR, US
• Company Size: Medium vendor
• Deployment: SaaS / On-Prem
• Website: https://www.igrafx.com
• Pro: Integrated modeling, mining, simulation with role-based views
• Con: May require enablement for advanced features

11. Microsoft Power Automate Process Mining: Microsoft Stack Automation

Microsoft Power Automate Process Mining brings process intelligence to the Microsoft ecosystem. It integrates with Power Platform and BI tools for automation and analytics.

• Acquisitions: Minit (Mar 2022)
• HQ: Redmond, WA, US
• Company Size: Enterprise vendor
• Deployment: SaaS
• Website: https://www.microsoft.com/en-us/power-platform/products/power-automate/
• Pro: Native tie-in with Power Platform, BI, and automation
• Con: Mining features maturing within a very large portfolio

12. Fluxicon Disco: Practitioners and Fast Discovery

Fluxicon Disco is a desktop process mining tool favored by analysts for its speed and simplicity. It excels at fast process discovery and visualization for practitioners.

• Acquisitions: —
• HQ: Eindhoven, Netherlands
• Company Size: Small/Medium vendor
• Deployment: On-Prem (desktop)
• Website: https://www.fluxicon.com
• Pro: Extremely fast discovery; beloved by analysts
• Con: Limited enterprise governance and multi-user controls

13. Puzzledata ProDiscovery: APAC and Niche Programs

Puzzledata ProDiscovery is a process mining solution popular in the APAC region. It offers competitive features for niche and regional process mining needs.

• Acquisitions: —
• HQ: Seoul, Korea
• Company Size: Small vendor
• Deployment: SaaS / On-Prem
• Website: https://www.puzzledata.com/
• Pro: Competitive features for regional/niche needs
• Con: Smaller global footprint and brand recognition

14. ProcessMind: Self-Service Process Intelligence for SMBs

ProcessMind is a self-service process mining platform designed for SMBs and teams. It unifies mapping, mining, and simulation with a focus on usability and clarity.

• Acquisitions: Same founders as UiPath Process Mining and ProcessGold
• HQ: Deventer, Netherlands
• Company Size: Small/Medium vendor
• Deployment: SaaS
• Website: https://processmind.com
• Pro: Unified map, mine, and simulate with human-readable layouts (Clarity Engine)
• Con: Newer vendor; fewer large enterprise references (yet)

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15. Appian Process HQ: BPM and Mining in One Platform

Appian Process HQ combines business process management (BPM) and process mining. It provides a unified platform for modeling, automation, and process insights.

• Acquisitions: Lana Labs (Aug 2021)
• HQ: McLean, VA, US
• Company Size: Enterprise vendor
• Deployment: SaaS
• Website: https://appian.com/products/platform/process-intelligence
• Pro: Strong BPM foundation with built-in mining insights
• Con: Enterprise-oriented licensing and platform complexity

16. Automation Anywhere Process Discovery: RPA-Led Discovery

Automation Anywhere Process Discovery integrates process mining with RPA for automation-driven insights. It helps organizations discover and optimize processes as part of their automation journey.

• Acquisitions: FortressIQ (Dec 2021)
• HQ: San Jose, CA, US
• Company Size: Enterprise vendor
• Deployment: SaaS
• Website: https://www.automationanywhere.com/products/process-discovery
• Pro: Task/process discovery complements RPA at scale
• Con: Mining depth often optimized around AA ecosystem

17. Decisions: Rules-Driven BPA and Mining

Decisions offers process mining as part of its rules-driven business process automation suite. It is ideal for organizations seeking strong rules engines and integrated mining.

• Acquisitions: Process Diamond (Jan 2022)
• HQ: Virginia Beach, VA, US
• Company Size: Mid-market vendor
• Deployment: On-Prem (cloud options available)
• Website: https://decisions.com
• Pro: Strong rules engine and BPA synergy
• Con: Mining is part of a broader automation suite

18. PM4Py: Builders and Data Scientists (Open Source)

PM4Py is an open-source Python library for process mining and analysis. It is popular among developers and data scientists for custom mining solutions.

• Acquisitions: —
• HQ: Germany (open-source community)
• Company Size: Small (project)
• Deployment: On-Prem (Python library)
• Website: https://processintelligence.solutions/pm4py
• Pro: Flexible open-source foundation for custom mining
• Con: Code-first; not a business app out-of-the-box

19. Worksoft: SAP-Focused Discovery and Testing

Worksoft specializes in process discovery and automated testing for SAP environments. It is designed for deep SAP integration and process validation.

• Acquisitions: —
• HQ: Dallas/Plano, TX, US
• Company Size: Mid-market vendor
• Deployment: SaaS (enterprise options)
• Website: https://www.worksoft.com/impact-analysis/
• Pro: Deep SAP discovery + test automation
• Con: Primarily SAP-centric use cases

20. Mindzie: Lightweight Mining and Quick Starts

Mindzie provides lightweight process mining with quick-start templates and Python integration. It is accessible for smaller teams and offers a free entry tier.

• Acquisitions: —
• HQ: Southlake, TX, US
• Company Size: Small vendor
• Deployment: SaaS / On-Prem
• Website: https://www.mindzie.com
• Pro: Accessible entry (free tier available), Python integration
• Con: Smaller vendor; feature depth growing

21. ProcessMaker: Open-Core Workflow and Mining

ProcessMaker combines workflow automation, modeling, and process mining in an open-core platform. It is suitable for organizations seeking flexible workflow and mining capabilities.

• Acquisitions: Workfellow (Apr 2024)
• HQ: Durham, NC, US
• Company Size: Mid-market vendor
• Deployment: SaaS / On-Prem
• Website: https://www.processmaker.com
• Pro: Workflow + modeling + forms + mining
• Con: Enterprise licensing for full suite; integration effort needed

22. QAD Process Intelligence (Livejourney): Manufacturing ERP Context

QAD Process Intelligence, powered by Livejourney, focuses on manufacturing and ERP process insights. It is tailored for organizations using QAD ERP and seeking process optimization.

• Acquisitions: Livejourney (Dec 2022)
• HQ: Santa Barbara, CA, US
• Company Size: Enterprise vendor
• Deployment: On-Prem / Cloud add-ons
• Website: https://www.qad.com
• Pro: Designed for ERP-aligned manufacturing insights
• Con: Best fit inside QAD ecosystem

23. Mehrwerk MPMX: Process Mining for BI and SAP Users

Mehrwerk MPMX is a process mining solution tightly integrated with business intelligence and SAP environments. It enables organizations to leverage process mining directly within their BI workflows for actionable insights.

• Acquisitions: —
• HQ: Karlsruhe, Germany
• Company Size: Medium vendor
• Deployment: SaaS / On-Prem / Cloud
• Website: https://mpmx.com
• Pro: Deep integration with Qlik, SAP, and BI tools; strong for analytics-driven teams
• Con: Best suited for organizations already invested in BI platforms

Comparison Table: Quick Reference

What Is Process Mining?

Process mining uses event logs from IT systems such as ERP, CRM, finance, and service platforms to reconstruct real-world workflows. It reveals how processes actually work compared to how they are documented. With process mining, you gain process maps, conformance checking, root-cause analysis, and operational KPIs. This helps identify bottlenecks, deviations, and automation opportunities. Many leading solutions, including iGrafx, ARIS Process Mining, IBM Process Mining, and open source tools like PM4Py, support these features. Solutions such as Power Automate Process Mining, QPR Process Mining, and ABBYY Timeline are also popular for their integration and analytics capabilities.

Why You Need Process Mining in 2025

• Operational pressure and cost: Data-driven optimization is essential for organizations facing margin compression.
• AI and automation: Mining insights fuel automation outcomes and digital transformation.
• Compliance and risk: Monitoring and predictive insight reduce risk, especially with tools like QPR partner, ARIS partner, and iGrafx partner solutions.
• Speed to value: No-code and low-code tools, such as Power BI Process Mining and process mining Power BI integrations, broaden access to business users.

Where the Market Is Going and Where ProcessMind Fits

The process mining software market is shifting from heavy, enterprise-only deployments to self-service, SMB-friendly, and integrated platforms for mapping, mining, and simulation. Human-centric visualization, faster onboarding, and AI-driven automation are now standard. Industry-specific templates and playbooks are increasingly available, with partners like BusinessOptix, iGrafx competitors, and QPR partner leading the way. Open source and free process mining tools are also gaining traction for flexibility and cost savings.

ProcessMind is at the forefront of this shift, democratizing process intelligence with a unified workspace powered by the Clarity Engine. Our platform makes process maps stable, clean, and easy to understand. We support integrations with iGrafx Process Mining, ServiceNow Process Mining, Camunda Process Mining, and more. Whether you are looking for enterprise Celonis process analytics, Microsoft, process mining with Qlik Sense, or process mining with Blue Prism, ProcessMind helps you achieve fast time to value and practical, affordable process insights.