QKS Group reveals that the Process Excellence market is projected to grow at a strong compound annual growth rate (CAGR) through 2028, reflecting rising enterprise demand for operational optimization and digital transformation.

The market’s expansion is largely fueled by the widespread adoption of automation and advanced analytics technologies across industries. Solutions such as Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and Process Mining are playing a central role in reshaping operational workflows. These technologies enable organizations to streamline repetitive tasks, uncover inefficiencies, enhance visibility into business processes, and make data-driven decisions.

The growing integration of Artificial Intelligence (AI) and machine learning further strengthens process excellence initiatives by delivering predictive insights, intelligent automation, and continuous process optimization. As enterprises accelerate their digital transformation journeys, process excellence solutions are emerging as a strategic necessity rather than an operational enhancement.

Organizations increasingly recognize that process excellence is fundamental to improving efficiency, reducing costs, increasing agility, and sustaining long-term competitive advantage.

Key Questions Addressed in the Study

What is the projected growth rate of the global Process Excellence market?

What key drivers and restraints are influencing market expansion?

Which industries present the most significant growth opportunities during the forecast period?

Which regions are expected to lead market adoption?

Which customer segments demonstrate the highest growth potential?

Which deployment models (cloud, on-premise, hybrid) are expected to gain momentum over the next five years?

Strategic Market Direction

The future of Process Excellence is increasingly aligned with advanced technology convergence. Organizations are integrating AI, machine learning, Intelligent Document Processing (IDP), Process Mining, and Robotic Process Automation (RPA) to create intelligent, adaptive operational ecosystems.

Process Mining is enabling deeper visibility into real-time workflow performance, helping enterprises identify bottlenecks and inefficiencies. Meanwhile, RPA continues to automate repetitive, rule-based processes, improving productivity and accuracy. IDP solutions enhance document-centric workflows by extracting and structuring data intelligently.

Enterprises are expected to significantly increase investments in these technologies to reduce operational costs, improve compliance, enhance customer experience, and strengthen decision-making capabilities. The convergence of these automation and intelligence technologies will power the next phase of digital transformation, positioning process excellence as a core strategic priority for sustainable growth.

Vendors Covered:

ABBYY, Appian, Automation Anywhere, AYR.ai, igrafx, Celonis, Datamatics, EdgeVerve, Eigen Technologies, EXL, Google, Grooper, HCL Technologies, Kofax, Laiye, Microsoft, Nintex, OpenBots, Parascript, Parashift, Pega Systems, qBotica, Rossum, Software AG, SS&C Blue Prism, Stravie, UiPath, UST, and WorkFusion. 

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#MachineLearning #OperationalEfficiency

#WorkflowAutomation #EnterpriseTechnology