Report:
Magic Quadrant for Process Mining Platforms
How does Gartner define the Process Mining Platforms market in 2025?
Process mining platforms offer comprehensive analysis of end-to-end processes by extracting event data from information systems. This includes automated process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction and history-based recommendations. Process mining platforms extend process mining capabilities via advanced process analytics, process improvement detection and process improvement recommendations.
Key Facts for Magic Quadrant for Process Mining Platforms in 2025
- Publication Date: 15 April 2025
- Document ID: G00816659
- Coverage: Global
- Authors: Tushar Srivastava, Marc Kerremans, and 1 more
- Core Purpose: Process mining platforms give enterprise application leaders visibility and insights into their business processes and application landscapes, enabling them to make smarter decisions aligned to their organization's priorities. This research examines market forces and the leading vendors of platforms.
Strategic Planning Assumptions
No strategic planning assumptions provided.
How was the Process Mining Platforms market evolved in 2025?
- Process mining market expanding at steady pace in high growth phase
- Worldwide process mining software spending grew by more than 30% in 2024
- Market revenue was $871.6 million in 2023
- Forecast to cross $2 billion mark by 2028
- 5-year CAGR of about 18% from 2023 to 2028
- Market becoming highly competitive with successful incumbents expanding capabilities
- New entrants offering niche domain-related solutions
- Enterprise software vendors entering through acquisitions
- Double-digit growth continues from previous years
- Transition from simple visualization tool to critical component for mission-critical improvements
What product features are required to be included in this year's evaluation?
- Event log extraction — Involves connecting with and extracting event logs from source systems on which business processes run (independent from task mining). The platform should offer robust extraction, transformation and loading (ETL) capabilities to ensure that data is efficiently processed and transformed into a format suitable for analysis.
- Process models and analysis — Involves automated discovery of process models, exceptions and process instances (mostly referred to as "cases"), client interactions (journeys), and employee interactions, together with basic frequencies and statistics from event logs.
- Comparative process mining — Includes capabilities to check conformance and compliance, not only graphically through overlays, but also through data analysis and performing gap analysis.
- Process model enhancement — Involves intelligent support for enhancing or extending existing or a priori process models by using additional data from recorded logs and events.
What are the common features of top products in the Process Mining Platforms space?
- Process orchestration — A platform that extends the process mining capabilities across different processes with advanced analytics capabilities and decision management capabilities. The platform also offers APIs to create process mining apps. This allows organizations and partners of process mining vendors to create applications such as financial auditing tools.
- GenAI capabilities — Involves using GenAI-powered capabilities to improve data preprocessing and discovery; supporting adaptive process modifications through real-time monitoring and refined recommendations; and enhancing explainability and understandability, thus broadening process mining accessibility to a wider audience.
- Execution support — Involves execution capabilities that turn insights into action. These capabilities could range from simply updating source applications (applications that deliver the events for process mining) to preparing or creating scripts that support the execution of tasks or processes.
- Data access and preparation — Includes data preparation, data quality and data integration, supporting big data as well as different ways to handle data.
- Business activity monitoring and management — Real-time dashboards with support for KPIs that are continuously monitored and enable decision support.
- Advanced process analysis — Involves predictive analysis, prescriptive analysis, scenario testing, simulation and advanced process analytics capabilities that use contextual data.
- Task mining — Involves inferring useful information from low-level event data available in UI logs. The UI logs describe the single steps within a task done by a user, such as using a workstation based on keystrokes, mouse clicks and data entries.
Scope Exclusions
- Vendors predominantly relying on task mining methods, including screen capture or similar techniques, for conducting process analysis
Inclusion Criteria
Vendors must, among other requirements:
- Active participation in the process mining market and meeting Gartner's definition including Purpose Summary, Mandatory Features and Common Features
- Comprehensive process analysis through ingestion of event data from information systems (not predominantly task mining/screen recording)
- Either: $7M+ annual tool licensing revenue, OR $3.5M+ with 40%+ YoY growth, OR $3.5M+ with 15+ net-new logos in 2023
- Customer Interest Index (CII) score of 50 or above
- Active customers in at least 2 of 4 major global regions (EMEA, Asia/Pacific, North America, South America)
Ability to Execute — Relative Weighting
- Product or Service - High
- Overall Viability - High
- Sales Execution/Pricing - Medium
- Market Responsiveness/Record - Medium
- Marketing Execution - Medium
- Customer Experience - High
- Operations - Low
Completeness of Vision — Relative Weighting
- Market Understanding - High
- Marketing Strategy - Medium
- Sales Strategy - Medium
- Offering (Product) Strategy - High
- Business Model - Medium
- Vertical/Industry Strategy - Low
- Innovation - High
- Geographic Strategy - Medium
FAQs
Q: What does this research cover?
A: This research covers the process mining platforms market, evaluating 17 vendors across two dimensions: Ability to Execute and Completeness of Vision. It examines vendors offering comprehensive process analysis through event data extraction from information systems, including automated process discovery, conformance checking, process analytics, and improvement recommendations. The research assesses vendors' capabilities in supporting key use cases including process discovery and analysis, process conformance, enterprise application modernization, discovering automation opportunities, digital transformation, and discovering agentic AI opportunities.
Q: Who should use this research?
A: Enterprise application leaders should use this research to: 1) Integrate process mining into their strategy and proactively manage implementation to prevent uncontrolled expansion without adequate governance, budgeting, security and skill management; 2) Consider process mining solutions for accelerated adoption of business process automation; 3) Educate business stakeholders on innovative methods to enhance processes using data-driven insights, automated process discovery, and prebuilt templates instead of custom solutions from scratch.
Q: What are the mandatory features of vendors included in this market?
A: Mandatory features for vendors included in this market are: (1) Event log extraction from source systems with robust ETL capabilities, (2) Automated process discovery and analysis including process models, exceptions, and process instances with frequencies and statistics, (3) Comparative process mining with conformance checking through both graphical overlays and data analysis, and (4) Process model enhancement using additional data from recorded logs and events.
Q: What are some reasons for not being included in this report?
A:
Vendors may be excluded from this Magic Quadrant for several reasons: (1) Not meeting the minimum revenue thresholds ($7M annual licensing revenue, or $3.5M with 40% YoY growth, or $3.5M with 15+ new logos), (2) Customer Interest Index score below 50, (3) Lack of international presence (not active in at least 2 of 4 major global regions), (4) Predominantly relying on task mining/screen recording methods rather than event data extraction for process analysis, (5) Not meeting Gartner's technical definition of process mining including required features.
Q: What differentiates Ability to Execute vs. Completeness of Vision?
A: Ability to Execute measures a vendor's current market performance and operational capabilities, focusing on product quality, financial viability, sales effectiveness, market responsiveness, marketing execution, customer satisfaction, and operational excellence. It assesses how well vendors are currently delivering value to customers. Completeness of Vision evaluates a vendor's strategic direction and future potential, examining their understanding of market needs, strategic planning across marketing/sales/product/business models, industry focus, innovation capacity, and geographic expansion plans. It measures how well positioned vendors are for future market leadership and their ability to anticipate and shape market evolution.
Reference
- Gartner, Magic Quadrant for Process Mining Platforms, 15 April 2025, ID G00816659
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