GARTNER® RECOGNITION 2026

QPR Software Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms

A Visionary for the fourth consecutive year – including Gartner's first-ever Magic Quadrant for Process Intelligence Platforms. QPR also received the second-highest score in the Process Mining capability in the 2026 Gartner® Critical Capabilities for Process Intelligence Platforms.

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Two Gartner® Perspectives on QPR

The Gartner Magic Quadrant and Critical Capabilities look at a market from two angles. The Magic Quadrant assesses vendors' Completeness of Vision and Ability to Execute. Critical Capabilities evaluates products against specific capabilities and use cases.

Visionary in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms

In 2026, Gartner published its first Magic Quadrant for Process Intelligence Platforms, replacing the earlier Magic Quadrant for Process Mining. QPR Software is named a Visionary – the fourth consecutive year QPR has been recognized as a Visionary by Gartner.

We believe this reflects a market shift QPR has been building toward: process mining is no longer a stand-alone analysis tool. It is becoming the layer that connects how work actually runs with how it is designed, governed and increasingly automated with AI.

Read the press release →

Second-Highest Score in Process Mining in the 2026 Gartner® Critical Capabilities for Process Intelligence Platforms

In the 2026 Gartner Critical Capabilities for Process Intelligence Platforms, QPR received the second-highest score of all evaluated vendors in the Process Mining capability.

For teams evaluating vendors, this is the capability at the core of any process intelligence platform: reconstructing how processes actually run from enterprise system data. We believe the result reflects the technology foundation of QPR ProcessAnalyzer, built over years of work with complex enterprise processes.

Dashboards Show What Happened. Enterprises Now Need More.

Most organizations already have process data. What they lack is a reliable picture of how work actually moves across systems, teams and business objects – and a way to act on it.

At the same time, AI initiatives are stalling for a familiar reason. AI models can read documents and data, but they do not know how your business actually runs: which steps depend on each other, which rules apply, and where things go wrong.

What enterprises need from a process intelligence platform today:

  • See how work actually happens across systems and functions

  • Find bottlenecks, deviations and their root causes

  • Compare real execution with designed processes and business rules

  • Analyze how orders, invoices, deliveries and other business objects interact

  • Work inside existing data architecture and governance – without copying data

  • Give AI applications and agents trusted context about real operations

This is what QPR ProcessAnalyzer is built to do.

continuous-monitoring-dashboard

What Makes QPR Different

We believe four things set QPR apart in the process intelligence market.

Process Intelligence Inside Snowflake

QPR ProcessAnalyzer was the first process mining software to run natively in the Snowflake AI Data Cloud. Analysis happens where your data already lives, with zero-copy analytics and no separate ETL pipelines – your data stays in your environment and under your governance. QPR is Snowflake-native, not Snowflake-only: cloud, hybrid and on-premises deployments are also supported.

Process intelligence powered by Snowflake → 

Object-Centric Process Mining for Real Complexity

Orders, deliveries, invoices and payments do not move in a single line. QPR's object-centric process mining (OCPM) analyzes these business objects together, with object-centric data models generated automatically from relational data. The result is a realistic view of how work flows across the enterprise.

Read the OCPM expert blog →

Process Mining and Process Modeling in One Platform

Process mining shows how work actually runs. Process modeling shows how it should run. QPR connects the two: discovered as-is processes can be exported as BPMN 2.0 models to the architecture repository and brought back for conformance checking – so deviations become visible and explainable.

Explore QPR ProcessAnalyzer →

Process Intelligence Your AI Agents Can Use

With the QPR MCP Server (Model Context Protocol), AI applications and agents such as Claude, ChatGPT and Microsoft Copilot can query process intelligence directly – process flows, bottlenecks, deviations and KPIs. Process insight no longer lives only in a dashboard; it becomes context your AI can work with.

See process intelligence for AI in action →

"Being named a Visionary for the fourth consecutive year is a great honor and a strong validation that we are moving in the right direction. As companies transition toward more autonomous, AI-driven operating models, data alone is no longer enough. AI requires operational context to understand how business works and how objectives can be achieved in a controlled and reliable way."
Events - QPR Conference 2019 - Speakers - Matti Erkheikki
Matti Erkheikki

CEO, QPR Software

"By combining process mining and process modeling, we can provide AI agents with both real-world event data and the business context that governs it. Our new MCP interface and object-centric process mining capabilities create a strong foundation for the next generation of AI-driven operating models."
Olli_Vihervuori
Olli Vihervuori

CTO, QPR Software

Proven in Complex Enterprise Environments

QPR ProcessAnalyzer is used across financial services, manufacturing, pharmaceuticals, telecommunications and the public sector.

60%

more volume with the same headcount

Metsä Board – Manufacturing

Process mining on SAP data showed the order-to-cash process didn't need costly SAP development – it needed consistent execution. Conformance rose from 40% to 80% of order lines.

Read the Metsä Board story →

4,904 fewer

procurement change events in 4 months

Sanofi – Pharmaceuticals

Process intelligence built on Snowflake now spans procurement, finance, HR, supply chain and R&D, with AI-powered root cause analysis running every week.

Read the Sanofi story →

15 minutes

to create a training guide from real process data

Fiduciary Trust International – Wealth management

Using QPR MCP and AI, the team generated a 14-step training guide from actual event logs – and found rework loops in over 25% of account maintenance cases.

Read the Fiduciary Trust story →

"Process mining is the foundation for process intelligence. And QPR is the X-ray of your process – it doesn't just show you what happened. It gives your AI something true to reason about."
LeszekKaldus
Leszek Kaldus

Head of Data Strategy & Managing Director, Fiduciary Trust International

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Peer Insights

What Users Say About QPR

Analyst research is one perspective. Peer reviews from people who use the software every day are another.

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See How Your Processes Actually Run

Whether you are shortlisting process intelligence platforms or building an AI architecture that needs trusted operational context, see QPR ProcessAnalyzer with your own use case.
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Frequently Asked Questions

How is QPR Software positioned in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms?

QPR Software is named a Visionary in the 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms, published on 5 May 2026. This is the fourth consecutive year QPR has been recognized as a Visionary by Gartner.

How did QPR score in the 2026 Gartner® Critical Capabilities for Process Intelligence Platforms?

QPR received the second-highest score of all evaluated vendors in the Process Mining capability in the 2026 Gartner® Critical Capabilities for Process Intelligence Platforms, published on 12 May 2026.

What is the difference between the Magic Quadrant and Critical Capabilities?

The Magic Quadrant evaluates vendors on Completeness of Vision and Ability to Execute in a market. Critical Capabilities complements it by scoring products on specific capabilities and use cases.

What is the Gartner Magic Quadrant for Process Intelligence Platforms?

It is Gartner's first Magic Quadrant for Process Intelligence Platforms, published in 2026. It replaces the earlier Magic Quadrant for Process Mining and reflects how the market has expanded from process mining to broader process intelligence.

What is QPR ProcessAnalyzer?

QPR ProcessAnalyzer is QPR Software's process intelligence platform. It combines process mining, process modeling and object-centric process mining to show how business processes actually run, find root causes of deviations and give both people and AI agents context about real operations.

Does QPR ProcessAnalyzer run in Snowflake?

Yes. QPR ProcessAnalyzer runs natively in the Snowflake AI Data Cloud and is also available as a Snowflake Native App on Snowflake Marketplace. Cloud, hybrid and on-premises deployments are also supported.

Can AI agents use QPR process intelligence?

Yes. The QPR MCP Server (Model Context Protocol) lets AI applications and agents, such as Claude, ChatGPT and Microsoft Copilot, query process flows, bottlenecks, deviations and KPIs from QPR ProcessAnalyzer directly.

Back to top

The full 2026 Gartner® Magic Quadrant™ for Process Intelligence Platforms report is available at Gartner.com.

Gartner, Magic Quadrant for Process Intelligence, Tushar Srivastava, Marc Kerremans, David Sugden, 5 May, 2026.

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Last updated: October 2026