Agentic AI is an evolved form of artificial intelligence that enables autonomous agents to set goals, make decisions, and take adaptive actions independently. These agents can decompose complex workflows into manageable subtasks, align their actions with defined objectives, and execute processes with minimal human oversight. By combining real-time reasoning, contextual memory, and the ability to interact with diverse enterprise systems, agentic AI allows for truly end-to-end, goal-driven automation. This new paradigm surpasses the capabilities of traditional intelligent automation and generative AI by enabling autonomous, context-aware systems that have the potential to make processes more time-efficient and less dependent on humans. As a result, agentic AI is rapidly gaining traction across industries and business functions. In this report, we examine the global agentic AI market, including the evolution of agentic automation, market characteristics, and the adoption landscape segmented by geography, industry, buyer size, and business process. We evaluate key solution characteristics such as training and support, partner ecosystems, deployment models, and commercial models. Additionally, we analyze the competitive landscape along with exploring emerging technology trends shaping the agentic ecosystem, such as large action models, model context protocol, agent-to-agent communication, and neuro-symbolic programming.

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

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

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

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

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

With repetitive manual tasks straining limited resources and escalating labor costs, businesses are pressured to do more with less. Additionally, the growing complexity of business processes and rising customer expectations for speed and accuracy highlight the need for holistic solutions with multiple capabilities. While businesses started their digital transformation journeys with a best-of-breed approach, the demand for best-in-class solutions has gained traction due to the rising need for integrated technologies and provider consolidation. To address this demand, technology providers are integrating technologies across rules-based automation, AI-based automation, process intelligence, and process orchestration on a single platform that meets businesses’ digital transformation requirements. With Intelligent Automation Platforms (IAP), technology providers aim to become a one-stop shop for all automation-related enterprise requirements. While IA technologies such as process mining and DII help in the discovery of processes and automation opportunities, RPA, IDP, and AI are essential to automate business operations. Process orchestration acts as the central control hub which ties in all the technologies and human workforce together, providing integrated workflow management and monitoring. Integrating IA technologies into a single platform ensures seamless information flow and streamlined workflows, enhancing efficiency and effectiveness. In this report, we analyze 13 IAP providers featured on Everest Group’s PEAK Matrix® framework based on their capabilities and offerings. The report will help buyers select the right technology provider for their needs and enable providers to benchmark themselves against their competition. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading IAP providers, client reference checks, and an ongoing analysis of the IAP market Contents In this report, we: Analyze 13 IAP providers Position the providers on Everest Group’s PEAK Matrix® framework as Leaders, Major Contenders, and Aspirants Assess IAP products and their applications Examine the IAP provider market Assess key IAP technology trends Compare providers’ key strengths and limitations 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

Organizations are turning to automation to redesign business processes and boost operational efficiency in the face of a global economic slowdown, geopolitical complexities, and ongoing talent shortages. Intelligent automation platforms now drive end-to-end process automation, incorporating new technologies – such as intelligent document processing, process mining, digital interaction intelligence, task mining, API-based automation, process orchestration, and conversational AI – to enhance efficiency and Robotic Process Automation (RPA) outcomes. Furthermore, generative AI revolutionizes automation by handling complex cognitive tasks and empowering citizen developers to build and deploy bots, integrating business users into the automation process. Enterprises benefit from RPA through better operational efficiency, improved customer and employee experiences, and strategic workforce engagement. Enterprises, GBS organizations, and providers across industries are investing heavily in RPA, making it a top-growing software market. In this report, we study 27 RPA technology providers and position them on Everest Group’s PEAK Matrix®, categorizing them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. The research will help buyers select the right-fit technology providers for their needs, while technology providers will be able to benchmark themselves. Scope All industries and geographies Contents This PEAK Matrix® report examines: Everest Group’s PEAK Matrix® evaluation of RPA technology providers and their categorization into Leaders, Major Contenders, and Aspirants The RPA technology provider market’s competitive landscape Key RPA technology trends Each RPA technology provider’s key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management