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.

In today’s digital economy, data security is a top priority for global enterprises worldwide. As organizations increasingly rely on data for decision-making, fuel innovation, and maintain a competitive edge, the risks associated with data breaches, unauthorized access, and cyber threats continue to escalate. Data security now goes beyond preventing attacks. It safeguards the integrity, confidentiality, and availability of core business assets. In this report, we examine data security’s key dimensions, outlining the essential measures that enterprises must adopt to protect their data assets. The report analyzes data security’s importance in the digital economy and the key differences between data security, cybersecurity, and data privacy. It recommends best practices to secure data across its life cycle. The report assesses the provider landscape, emerging technologies, and generative AI’s dual role in data security. Additionally, it evaluates data security’s future and its influence on digital transformation. Scope All industries and geographies Contents In this report, we examine: Data security’s importance in today’s digital economy Key differences between data security, cybersecurity, and data privacy Best practices to secure data across its life cycle Evolving provider landscape and emerging technologies Generative AI’s impact on data security Future trends shaping data security and digital transformation

Enterprises are navigating a complex business environment, with a strong emphasis on resilience, agility, and cost optimization. Traditional automation has enhanced efficiency by streamlining processes and cutting costs. However, its limitations, such as its reliance on structured data and a lack of autonomy, are becoming increasingly apparent. In contrast, agentic AI, a form of AI that makes decisions and takes action, redefines automation boundaries by handling complex, context-sensitive workflows requiring autonomous decision-making. Agentic AI complements and augments existing technologies instead of replacing them, thus driving a new era of innovation – agentic automation. In this report, we examine the evolution of automation and explore how agentic automation is poised to revolutionize business operations by optimizing workflows, enhancing decision-making, and unlocking new opportunities for innovation and growth. The report analyzes agentic AI’s potential across industries and business functions, highlighting how agentic automation can help enterprises navigate challenges and remain competitive in the market. Scope All industries and business functions Contents In this report, we: Understand agentic AI Explore the evolution of automation and the emergence of agentic automation Analyze expected agentic automation’s impact on key industries and business functions Assess key agentic automation use cases with the potential to scale Evaluate agentic automation implications for enterprises Examine the future outlook Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

At the ZohoDay25 event, held from February 3-5, 2025, in Texas, US, Zoho announced its latest agentic AI innovations to enhance AI-driven automation and decision-making. The event highlighted Zoho’s key offerings, including Zia Agents for streamlining automation, Zia Agent Studio for building and customizing agents with no-code/low-code tools, and Agent Marketplace for accessing a gallery of AI agents. These offerings empower businesses to elevate their employee and customer experiences. In this report, we analyze the new features, including how well Zoho’s offerings align with enterprise objectives and requirements, and identify key strengths and improvement areas. Scope All industries and geographies This report assesses Zoho’s announcements from its ZohoDay25 event Contents In this report, we: Outline key agentic AI objectives and requirements Examine themes driving and limiting agentic AI demand Assess Zoho’s current market position and its agentic AI offerings Analyze new features’ strengths and improvement areas Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

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

In today’s era of rapid digital disruptions, businesses are under significant pressure to enhance operational efficiencies, reduce costs, and deliver exceptional customer experiences. Increasing process complexities, the need for faster turnaround times, and the ever-evolving stakeholder expectations further amplify the demand for innovation. As organizations strive to remain competitive, they are transitioning from isolated digital tools to comprehensive solutions that unify capabilities across the automation spectrum. Intelligent Automation Platforms (IAPs) address these challenges by consolidating process mining, Robotic Process Automation (RPA), AI, and document processing into a unified ecosystem. These platforms enable seamless discovery, automation, and orchestration of end-to-end business processes. With advanced tools to detect inefficiencies, automate repetitive tasks, and integrate human and machine workflows, IAPs streamline operations, enhance decision-making, and drive superior outcomes. In this report, we provide accurate, comprehensive, and fact-based snapshots of 13 IAP providers’ offerings and capabilities. Each profile covers the provider’s recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities, and key enhancements. The report enables providers to benchmark themselves against competitors and empowers IAP software buyers to assess providers based on their capabilities. Scope All industries and geographies Contents In this report, we evaluate 13 IAP providers and include: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The need to evolve into a digital-first business is becoming increasingly vital as manual operations lead to inefficiencies and limit scalability. Additionally, enterprises struggle with rising inflation, economic slowdowns, geopolitical tensions, and supply chain disruptions. To stay competitive, enterprises must make automation a strategic priority. Robotic Process Automation (RPA) is the cornerstone of enterprise automation, which is strengthened by Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI. RPA offers several enterprise benefits, including improved operational efficiency and productivity, increased cost savings, and enhanced customer and employee experiences. However, organizations must choose the right enterprise-grade RPA solution that aligns with their specific needs to harness RPA’s benefits. In this report, we provide accurate, comprehensive, and fact-based snapshots of 27 RPA technology providers’ offerings and capabilities. Each profile covers the provider’s recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities, and key enhancements. The report enables providers to benchmark their capabilities against competitors and empowers RPA software buyers to assess the providers based on their capabilities. Scope All industries and geographies Contents In this report, we evaluate 27 RPA technology providers and include: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Membership(s) Service Optimization Technologies (SOT) 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

UiPath announced new features under its agentic and intelligent automation capabilities at its FORWARD event, which took place October 21-24, 2024, in Las Vegas, United States. The event highlighted UiPath’s AI-led automation-related efforts across industries to improve operational efficiency, boost employee productivity, and enhance customer experience. In this report, we analyze the new features, including how well UiPath’s offerings align with enterprise objectives and requirements, and identify the strengths and improvement areas. Scope All industries and geographies The report assesses the announcements UiPath made during its FORWARD 2024 event Contents In this report, we: Outline key AI-led automation objectives and requirements Examine themes driving and limiting demand Detail UiPath’s current positioning and its AI and intelligent automation offerings Analyze the new features’ strengths and improvement areas Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management