The editors at Solutions Review highlight the key takeaways from the 2023 Magic Quadrant for Process Mining Tools and analyze the report.
Analyst house Gartner, Inc. recently released its inaugural Magic Quadrant for Process Mining Tools, which replaces the Market Guide for Process Mining. Gartner says that “process mining tools are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights.” The report also says that, at minimum, these solutions must come equipped with comparative process mining, process models, journey models, data access and preparation, business activity monitoring, process model enhancement, advanced process analysis, and task mining capabilities.
To qualify for Gartner’s report, each process mining tool vendor must meet several criteria. These include having active customers buying tools in the last 12 months in at least two major global regions, offering devices positioned to address the market for process mining, having an active presence in the process mining market, and providing a product that’s generally available to all customers for purchase as of 1 May 2022.
Key Takeaways: 2023 Gartner Magic Quadrant for Process Mining Tools
Gartner identifies 15 of the most significant process mining tools in the marketplace in this Magic Quadrant. The researchers behind the report—Marc Kerremans, Kimihiko Iijima, Andrei Razvan Sachelarescu, Nick Duffy, and David Sugden—evaluated the strengths and weaknesses of each provider listed and ranked them on the signature “Magic Quadrant” graph, which provides readers with an illustration of each vendors’ ability to execute their vision. The diagram includes four quadrants: leaders, challengers, niche players, and visionaries.
A breakdown of each category and the companies associated with it is below.
Celonis leads the way in the category with the Celonis Execution Management System (EMS), a containerized, microservices-based cloud platform that offers capabilities like real-time data ingestion, task mining, machine-learning-based process modeling, and process-intelligence-driven action flows. Its strengths as a process mining tool vendor include its extensive customer base in the market (Gartner estimates its market share is over sixty percent), its open platform strategy, and innovative platform releases like Process Sphere and Business Miner.
Software AG is the next vendor in the Leader category. Its offering is the ARIS Process Mining version 10, part of Software AG’s ARIS Suite. Capabilities include business process modeling, analysis, customer journey modeling, task discovery, robotic process automation (RPA), business process automation (BPA), and more. Gartner identifies its market vision, native integration capabilities, and collection of process lifecycle insights as notable strengths in the market.
SAP Signavio makes Gartner’s list with two product mining offerings: SAP Signavio Process Intelligence and SAP Signavio Process Insights, version 16.6.0, both components of the SAP Signavio Process Transformation Suite. According to the report, SAP Signavio’s notable features include its market positioning, vision for its product, its ability to interact with the SAP client ecosystem, and its journey models capabilities, which combine process mining data with customer journey insights.
MEHRWERK is a software and services company in the data and process analytics market. Its process mining solution, the mpmX platform, combines business intelligence (BI) software with process mining technology to help banking, financial services, automotive, insurance, manufacturing, IT, telecom, retail, and other industries. MEHRWERK’s strengths as a process mining vendor include its market vision, innovative approach to object-centric process mining (OCPM), and data access and management capabilities, which run natively on Qlik’s BI platform, available via Qlik Sense, SaaS, and on-premises.
ABBYY’s process mining solution is ABBYY Timeline version 5.3, which helps businesses handle case-based, unstructured, ad hoc, and case-based business processes. The company works with worldwide companies across the healthcare, pharma, banking, telecom, high-tech, and financial services markets. Notable features available on ABBYY Timeline include its task automation tools, pre-built integration with Blue Prism’s product suite, and its utilization of document and text data, which it uses to extend its process mining efforts.
Apromore rounds out the Leader category with Apromore version 8.3, a commercially supported open-source process mining tool that implements a spectrum of process mining functionalities, including real-time predictive process monitoring and simulation. Its solution ranks highly for its easy-to-use features, data integration functionalities, flexible deployment options, flexible pricing model, task mining tools, no-code capabilities, and its support of industries that deal with sensitive data.
UiPath leads the Challenger category with its UiPath Process Mining and Task Mining, version 2022.4, solutions. Both solutions are part of the UiPath Business Automation Platform. Automation is the core of UiPath’s capabilities, and Gartner’s report reflects that, spotlighting its automation opportunities and integration with robotic process automation (RPA) technology as notable strengths. The report also highlights UiPath’s market positioning as a compelling feature, as it can help clients go beyond insights.
IBM entered the process mining marketplace in 2021 by acquiring myInvenio, which expanded IBM’s strategy of providing clients with a “one-stop-shop” of AI-powered automation capabilities, including RPA, document processing, decisioning, workflow, process mining, and more. Its strengths come from its team of subject matter experts (SMEs) who provide in-depth knowledge of individual industry markets, its automation accelerator capabilities, and its market positioning.
Microsoft rounds out the Challenger category with Minit (version 5.6) and Microsoft Power Automate Process Advisor, both components of its Power Platform. Microsoft acquired Minit in March 2022, so Gartner’s assessment for the report was based on Minit’s execution of its product and Microsoft’s vision for it moving forward, which includes closely integrating Minit and Process Advisor into a single, cloud-based, scalable SaaS product. It differentiates itself in the market with its in-depth hyperautomation capabilities, extensive partner technology network, and the twenty-five million multiplatform application users (MAUs) and over seven million developers it has as clients.
QPR Software is the first Visionary in the report. Its process mining offering, QPR ProcessAnalyzer version 2022.3, runs natively in the Snowflake Data Cloud and “extends the process mining concept” with automated one-click root cause analysis, machine learning, predictions, and advanced influence and clustering analyses. While the company’s geographic presence is still limited, it’s making a name for itself with its innovative solution offerings, off-the-shelf scalability, and responsiveness to the market’s trend toward governance, risk, and compliance (GRC) efforts.
BusinessOptix’s process mining solution is a component of the BusinessOptix Process Transformation Suite that includes capabilities for process mining, process modeling, scenario modeling, scenario simulation, operating models, work instructions, and transformation dashboards to help organizations improve their processes at the departmental, organizational, and functional level. Its strength as a process mining tool provider includes its understanding of the market, its approach to innovation, and the use-case-specific solutions its platform offers.
Appian’s Process Mining solution, part of the broader Appian Platform, integrates the acquired LANA Process Mining toolset into Appian’s low-code automation platform to help users jump-start automation projects, feed process analytics data into their platform, and more. Strengths include its well-regarded sales strategy, positioning in the market, and execution use cases for process mining, which enable secure execution and monitoring of RPA capabilities for enterprise-grade workflow for application, task-level automation, process orchestration across bots, and scripts for business process management.
For this report, Gartner assessed two of StereoLOGIC’s products: StereoLOGIC Integrated Task & Process Mining Platform and StereoLOGIC Unattended Task Mining, version 2022. These platforms capture system-based events, provide user-interface-based information, and can handle employee productivity comparison and workload optimization across various processes. Gartner’s report spotlights its task mining perspective, data access, and data preparation capabilities as its most notable features.
Pegasystems’ process mining capabilities are available via its Workforce Intelligence solution and Everflow, which the company acquired in May 2022. Both solutions are components of the Pega Platform, although it does offer its process mining tools as a standalone offering alongside its inclusion in its flagship platform. The company’s process mining tools are well-regarded for their continuous process improvement capabilities, automation solution suite, and marketplace vision.
Fluxicon rounds out the Magic Quadrant with Disco version 3.2, a standalone, analysis-focused process mining tool designed to deal with complex processes. Since the company doesn’t have a public roadmap for its solution, it can prioritize its goals based on customer feedback and market trends. Alongside its standalone process mining capabilities, Fluxicon’s strengths include a well-regarded customer experience and the models and analysis capabilities, which build on a process mining algorithm.
- Top WorkTech News From the Week of June 2nd: Updates from Automation Anywhere, Tech Mahindra, Newgen Software, and More - June 2, 2023
- How to Build a Business Case for Process Automation - May 30, 2023
- Top WorkTech News From the Week of May 26th: Updates from Pega, IFS, Oracle, and More - May 26, 2023