A Process mining software analyzes process-related information, primarily from event logs generated by enterprise systems (ERP, CRM, etc.), to offer a fact-based approach to discover, monitor, and optimize as-is processes across various industries and process areas. It is one of the fastest-growing markets in the intelligent automation space. To support enterprise objectives, technology providers are upgrading their process mining product capabilities. While providers continue to invest steadily in generative AI-based enhancements, some of them have also started exploring agentic AI capabilities. In this report, we assess 23 process mining technology providers and position them on Everest Group’s PEAK Matrix® framework as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Each profile offers a comprehensive picture of the provider’s key strengths and limitations. The research will help buyers select the best-fit provider for their requirements, while providers will be able to benchmark themselves against their competition. Scope 
All industries and geographies Process mining software products sold on license, irrespective of any ongoing business or IT process outsourcing, or managed services This report is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading process mining technology providers, client reference checks, and an ongoing analysis of the process mining market Contents 
In this report, we: Position the providers on Everest Group’s PEAK Matrix® as Leaders, Major Contenders, and Aspirants Offer an overview of process intelligence products Examine the process mining technology provider market’s competitive landscape Evaluate key process mining technology trends Assess providers’ key strengths and limitations

Organizations must remain agile and efficient amid changing customer expectations, technology advances, and workforce dynamics. To gain a competitive edge, they are accelerating digital transformation initiatives by adopting digital enablers and automation. However, many continue to face challenges such as limited process visibility, documentation, and optimization – hindering their ability to identify bottlenecks, reduce manual errors, and make strategic decisions effectively. That is where Digital Interaction Intelligence (DII) comes in. DII provides a fact-based approach to discovering as-is processes, capturing user interactions, classifying tasks into processes without manual intervention, aggregating data and its business context across users and desktops, generating digital interaction graphs, and deriving relevant business insights for continuous process improvements. In this Viewpoint, we help enterprises build a compelling business case for adopting DII, ensuring successful outcomes and transformative results. Scope All industries and geographies Contents In this report, we examine DII, including its definition, architecture, applications, and business case.

Process orchestration enables business users to design, manage, and monitor end-to-end business processes. It includes key capabilities, such as modeling processes, managing business rules, designing user interfaces to capture/present data, managing the hybrid workforce of enterprises, and providing process-related insights. The process must orchestrate the flow of work across workers (such as robotic process automation, intelligent document processing, and conversational AI) and enterprise applications in long-running workflows. In this report, we analyze the process orchestration market, software providers, and third-party enablers, including providers and system integrators. The report examines the market size, adoption trends, solution characteristics, product capabilities and trends, and the provider landscape. Scope All industries and geographies Process orchestration software products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we examine process orchestration and its market overview, buyer insights, solution characteristics, product capabilities and trends, and provider landscape. Memberships Service Optimization Technologies (SOT) Process Orchestration Sourcing and Vendor Management

Process orchestration enables businesses to design, manage, and monitor end-to-end processes. They act as central control hub for Intelligent Automation (IA) technologies while enabling workflow distribution between human and digital workforce. The rise of generative AI is revolutionizing process orchestration capabilities, prompting technology providers to rapidly enhance their products to align with emerging AI trends and evolving market demands. Process orchestration is gaining traction across geographies and industries, enhancing interoperability between IA technologies. Businesses leverage process orchestration solutions that design, manage, and monitor end-to-end processes, enabling greater efficiency, accountability, and process governance. This compendium provides accurate, comprehensive, and fact-based snapshots of 24 process orchestration technology providers’ offerings and capabilities. Each provider profile includes company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features and functionalities, key enhancements, and capabilities. This report will enable buyers to select the best-fit provider for their needs. Scope All industries and geographies Process orchestration software products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services This report is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading process orchestration technology providers, client reference checks, and an ongoing analysis of the process orchestration market Contents In this report, we: Examine the company and product overview Analyze recent deals, partnerships, and announcements Evaluate market adoption and client portfolio mix Assess product features, functionalities, and key enhancements Measure providers’ capabilities across PEAK Matrix® dimensions Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Becoming a data-driven business is vital for improving stakeholder experiences and operational efficiencies. Manual techniques limit visibility into processes and tasks. Process mining analyzes structured data in processes, but user interactions with business applications go uncaptured. As most employees work on third-party applications, capturing user interaction data is essential for completely understanding end-to-end processes. Digital Interaction Intelligence (DII) addresses this gap by capturing and analyzing user interactions, offering insights into workflows, and enabling enterprises to unlock increased business value through more informed decisions and process optimizations. Everest Group’s DII Playbook comprehensively explains the DII solution’s key components and functionalities, including its applications, benefits, and use cases across industries and business functions. It highlights DII market characteristics, including its current market status and adoption across market segments. Additionally, the playbook offers valuable insights, methodologies, and practical guidance to enterprises at different stages of their process automation and transformation journeys to maximize their DII impact. Scope All industries and geographies Contents In this report, we: Evaluate the need for data-driven decision-making Analyze process mining limitations Examine DII, including its key components and product functionalities Assess DII applications, associated benefits, and use cases Understand DII market characteristics, including DII’s state of market and adoption Explore enterprises’ DII journeys Membership(s) Service Optimization Technologies Sourcing and Vendor Management

As enterprises navigate today’s ever-evolving digital landscape, rapid time-to-value is increasingly essential to stay competitive. To drive efficiency, agility, and new business models, enterprises are investing in digital transformation initiatives, with generative AI emerging as a key enabler. Generative AI can automate processes, enhance decision-making, and fuel innovation, yet its adoption presents challenges in data complexity, security, and scalability and operational reliability. Intelligent Automation Platforms (IAPs) offer a robust framework to overcome these limitations, providing governance, security, and scalability to maximize generative AI’s potential. Through integration with IAPs, generative AI can support complex use cases, increase flexibility, and improve data flow management, making AI-driven applications more reliable and effective. In this viewpoint, we examine enterprises’ priorities to scale digital transformation, explore risks associated with generative AI adoption, and detail how IAPs can mitigate these challenges. It aims to guide IT leaders, business excellence teams, and digital transformation decision-makers in harnessing the combined power of generative AI and IAPs to achieve digital transformation objectives. Scope All industries and geographies Contents In this report, we assess: Enterprises’ priorities to scale digital transformation initiatives Key risks associated with generative AI adoption How enterprises can mitigate generative AI risks using IAPs The integration of generative AI and IAPs to empower digital transformation Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Celonis announced new features under its process intelligence capabilities at its Celosphere 2024 event, which took place October 23-24, 2024, in Munich, Germany. This release further strengthens Celonis’s AI and process intelligence-related efforts across industries to improve operational efficiency, boost employee productivity, and continuously optimize processes. In this report, we analyze the new features, including how well Celonis’s offerings align with enterprise objectives and requirements and identify the strengths and improvement areas. Scope All industries and geographies The report assesses the information Celonis released during the Celosphere 2024 event Contents In this report, we: Outline key AI-led process transformation objectives and requirements Examine themes driving and limiting demand Detail Celonis’s current positioning and its AI and process intelligence offerings Highlight key themes and analyze the new features’ strengths and improvement areas Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Everest Group defines Digital Interaction Intelligence (DII) as an analytics product that offers a fact-based, technology-driven approach to understanding user interactions on various applications, particularly business applications. It captures user actions and metadata from multiple desktops to reconstruct and analyze processes available independent of professional services. The technology offers a data-based approach to process optimization through different applications and use cases spanning industries and process areas. In this report, we analyze the DII market, software providers, and third-party enablers (providers and system integrators). The report examines the market size, adoption trends, solution characteristics, product capabilities and trends, and the provider landscape. Scope All industries and geographies DII software products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we examine: Process intelligence DII market overview Buyer insights DII solution characteristics DII product capabilities and trends DII provider landscape Market outlook for 2024-25 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Businesses are streamlining processes and enhancing operational synergies between human and digital workers to improve operational efficiency and increase cost savings. They leverage process orchestration solutions that design, manage, and monitor end-to-end business processes, enabling greater efficiency, accountability, and process governance. Process orchestration is gaining traction across geographies and industries, enhancing interoperability between intelligent automation technologies, such as Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and process intelligence. Process orchestration platforms act as a central control hub for Intelligent Automation (IA) technologies while augmenting the distribution of workflows between human and digital workforce. Recognizing market needs, technology providers are updating their product capabilities, features, and functionalities. In this report, we analyze 24 process orchestration technology providers featured on Everest Group’s PEAK Matrix® based on their capabilities and offerings. The report will empower buyers to select the right technology providers for their needs and enable providers to benchmark themselves against their competition. Scope Process orchestration software products that are sold on license All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading process orchestration technology providers, client reference checks, and an ongoing analysis of the process orchestration market Contents In this report, we: All industries and geographies Position the providers on Everest Group’s PEAK Matrix® framework as Leaders, Major Contenders, and Aspirants Assess process orchestration products and different applications Analyze the process orchestration technology provider market Examine key process orchestration technology trends Compare providers’ key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

While rapidly changing market dynamics disrupt legacy operations and business models, organizations leading in digital transformation are better positioned to respond to such disruptions. Consequently, enterprises are racing to adopt digital and automation initiatives to become lean, resilient, and agile. As they embark on their digital transformation journeys, they face major challenges such as the lack of process visibility and inability to maintain a healthy transformation pipeline. Process mining provides a technology-driven and fact-based approach to discover as-is processes and continuously monitor and optimize them. It empowers enterprises to objectively assess and enhance their process DNA. In this report, we discuss its role in addressing challenges related to adopting and accelerating digital transformation. Scope All industries and geographies Contents In this report, we examine: The need to change to a digital-first business Barriers to scaling digital initiatives and realizing value Process mining’s role in accelerating digital transformation The business case for process mining Enterprise use cases Adoption challenges and key factors for successful execution Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management