Magic Quadrant for Process Mining Platforms
Gartner defines process mining platforms as platforms that are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights. Process mining 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 by advanced process analytics, process improvement detection and process improvement recommendations, partly driven by AI and generative AI (GenAI).
Vendors must, among other requirements:
A: This research covers the process mining platforms market, evaluating 18 vendors across two main dimensions: Ability to Execute and Completeness of Vision. It examines vendors offering platforms designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems. The research includes market definition, vendor evaluations with strengths and cautions, inclusion/exclusion criteria, evaluation criteria, market overview, and context for four key use cases: improving processes through algorithmic discovery and analysis, improving auditing and compliance, discovering and validating automation opportunities, and supporting digital transformation.
A: This research should be used by technology innovation leaders, business process analysts, digital transformation leaders, and IT decision-makers who are evaluating process mining platforms to gain visibility into their business operations and processes. It helps organizations understand the market landscape, compare vendor capabilities, and select appropriate process mining solutions based on their specific use cases such as process improvement, compliance and auditing, automation discovery, or digital transformation initiatives. The research is particularly valuable for organizations seeking to implement process mining as part of broader hyperautomation, operational resilience, or business intelligence strategies.
A: Mandatory features for vendors in this market include: (1) Process models and analysis - automated discovery of process models, exceptions and process instances with basic frequencies and statistics; (2) Comparative process mining - capabilities to check conformance and compliance through both graphical overlays and data analysis/gap analysis; (3) Process model enhancement - intelligent support for enhancing or extending existing process models using additional data from recorded logs and events.
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A: Ability to Execute focuses on the vendor's current market performance and operational capabilities, including product quality, financial viability, sales effectiveness, market track record, marketing execution, customer satisfaction, and operational efficiency. It measures how well vendors are performing today in delivering their offerings to customers. Completeness of Vision, on the other hand, evaluates the vendor's strategic direction and future potential, including their understanding of market needs, marketing and sales strategies, product roadmap, business model innovation, industry focus, innovation capabilities, and geographic expansion plans. It assesses how well vendors are positioned to anticipate and shape future market direction. In essence, Ability to Execute is about present performance while Completeness of Vision is about future strategy and market leadership potential.