PEX Network’s key takeaways:
- QPR Software’s process mining solution ProcessAnalyzer is now available on AWS Marketplace.
- The listing is a strategic step that complements QPR Software’s cloud-based offering.
- “AWS Marketplace is, above all, a commercial distribution channel that makes acquiring QPR ProcessAnalyzer faster and easier for our customers.”
QPR Software has listed its process mining solution on AWS Marketplace to provide customers a new, streamlined channel for purchasing and deploying the software as part of the AWS ecosystem.
AWS Marketplace is a commercial marketplace for software and cloud services. Customers can use it to procure solutions centrally and leverage their existing AWS agreements.
QPR ProcessAnalyzer is process mining software that provides data-driven, real-time insights into an organization’s business operations.
Process mining is set to transform business operations with unprecedented growth through 2034, according to a report from The Insight Partners. The process mining market, valued at US$3.63 billion in 2025, is projected to reach $97.88 billion by 2034, expanding at a CAGR of 44.2 during 2026-2034.
QPR ProcessAnalyzer process mining on AWS Marketplace
The listing of QPR ProcessAnalyzer on AWS Marketplace is a strategic step that complements QPR Software’s cloud-based offering, stated a press release.
QPR ProcessAnalyzer has previously been launched as a native application on Snowflake Marketplace, where the software runs directly within the Snowflake AI Data Cloud environment.
“AWS Marketplace is, above all, a commercial distribution channel that makes acquiring QPR ProcessAnalyzer faster and easier for our customers,” commented Matti Erkheikki, chief product officer at QPR Software “Customers can purchase the solution through the familiar AWS procurement model, and the listing does not introduce any changes to the technical implementation or delivery model of the software.”
Customers can also utilize their existing AWS commitments when making the purchase, Erkheikki added.
“The AWS Marketplace listing improves the commercial availability of QPR ProcessAnalyzer and responds to customers’ different procurement models,” said Heikki Veijola, president and CEO of QPR Software. “By offering our solution across multiple leading cloud ecosystems, we ensure that our customers can leverage process mining as efficiently and flexibly as possible.”
Register for All Access: Process Intelligence and Process Mining 2026!
What trends are shaping process mining?
Process mining is undergoing a revolution, shifting from ‘static reporting’ to ‘real-time intelligence’ (aka process intelligence). This will continue in 2026 as process mining evolves into a true business differentiator, enhanced by emerging artificial intelligence (AI) and autonomous technologies.
The trends shaping modern process mining include:
- Static reporting to real-time intelligence: Rather than periodic audits or occasional analysis, more firms are using process mining as an ongoing, real-time monitoring tool.
- Changing expectations of process mining: Expectations towards process mining are evolving as it plays an increasing role in modern businesses.
- Rise of object-centric process mining: Object-centric process mining (OCPM) allows analysis of interrelated entities (e.g. orders, deliveries, invoices, customers) more natural for complex environments. OCPM has been ‘the future’ for years, but now it’s catching up in practice.
- Integration with AI and automation: Process mining is increasingly used in tandem with AI and automation to not only discover processes, but also predict outcomes, suggest optimizations, or feed into engines such as robotic process automation (RPA).
- Cloud-based, scalable deployment: More process mining tools are cloud-native, lowering the barrier to entry for smaller organizations and enabling flexible, scalable deployments rather than heavy on-premise setups.
- Industry-specific and customized applications: As organizations in sectors like healthcare, manufacturing, finance, and public administration increasingly adopt process mining, tailored solutions and industry-specific best practices are emerging.