Intelligent Document Processing (IDP) uses AI to capture, categorize, and extract data from various document types for further processing. This typically non-invasive solution can integrate with internal applications, systems, and other automation platforms. IDP technology providers are increasingly offering low-/no-code capabilities to enable citizen developers to build document intake and processing workflows. Providers are also integrating IDP with large language models and agentic AI capabilities to improve extraction accuracy, enhance context understanding, and enable end-to-end document processing. IDP adoption helps enterprises save costs, improve workforce productivity, and improve employee and customer experiences. In this report, we examine the IDP market, including buyers, software providers, and third-party enablers (providers and system integrators). The report also analyzes market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, provider landscape, IDP adoption challenges, and outlook for 2025-26. It also offers insights into the Banking and Financial Services (BFS)-specific IDP market, covering key use cases, capabilities, and trends.

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

Intelligent Document Processing (IDP) products remain vital in enterprises’ automation technology portfolios. It uses AI technologies, such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning, to classify and extract information from structured, semi-structured, and unstructured documents. Generative AI and agentic AI advances are driving providers to enhance their IDP capabilities. IDP integrates with internal applications, systems, and other automation platforms, offering a non-invasive approach. Continuous advances in IDP products result in ongoing improvements in capabilities, features, and functionalities. In the Banking and Financial Services (BFS) industry, the demand for specialized processing solutions is growing due to the document-intensive processes and their substantial presence in the broader IDP market. Since the BFS industry’s highly regulated nature of BFS industry, enterprises must carefully select a reliable and compliant IDP technology provider to successfully implement IDP. This compendium provides accurate, comprehensive, and fact-based snapshots of 29 leading IDP technology providers, including 10 leading BFS-specific IDP technology providers. Each profile includes the provider’s company overview, recent deals and announcements, market adoption and client portfolio mix, product features, and functionalities. Scope All industries and geographies The report examines IDP solutions that are sold on license, regardless of any ongoing business or IT process outsourcing or managed services This assessment is based on Everest Group’s annual RFI process for the year 2024-25, interactions with leading IDP technology providers, client reference checks, and an ongoing analysis of the IDP market Contents In this report, we: Assess providers’ recent deals and announcements Evaluate IDP products’ market adoption Analyze providers’ client portfolio mix and partnerships Examine providers’ product features

As enterprises seek to navigate complex and dynamic business environments, agentic automation is emerging as a powerful transformation of traditional Intelligent Automation (IA). By combining structured automation with AI-powered decision-making, agentic automation enables systems to sense, decide, act, and learn autonomously, unlocking greater productivity and operational autonomy. In this report, we assess agentic automation’s evolving landscape by examining its key attributes, real-world enterprise use cases across industries, and its potential to drive strategic value. The report offers a robust value assessment framework that evaluates agentic automation adoption’s benefits and costs across five high-impact use cases: KYC, invoice processing, warranty claims processing, customer onboarding, and employee onboarding. This comprehensive assessment helps decision-makers with the mechanism to quantify agentic automation’s value, build a compelling business case, and plan its enterprise-wide implementation. The research also outlines key considerations to help organizations navigate adoption challenges and realize agentic automation’s full potential. Scope All industries and geographies Contents In this report, we: Understand agentic automation Assess key use cases across industries and functions Measure agentic automation’s value Present the value assessment framework for agentic automation Examine value assessment for enterprise use cases Analyze key enterprise considerations for agentic automation adoption

Intelligent Document Processing (IDP) products remain vital in enterprises’ automation technology portfolios. IDP uses AI technologies, such as Optical Character Recognition (OCR), computer vision, Natural Language Processing (NLP), and machine/deep learning, to classify and extract information from structured, semi-structured, and unstructured documents. Generative AI and agentic AI advances are also driving providers to enhance their IDP capabilities. The Banking and Financial Services (BFS) industry has shown strong demand for specialized processing capabilities due to numerous document-intensive processes and its significant market presence in the IDP market. IDP products’ advanced capabilities, features, and functionalities further drive this demand. Given the industry’s highly regulated nature, enterprises must collaborate with the right IDP technology providers to successfully implement IDP. In this report, we analyze 29 leading IDP technology providers’ and 10 BFS industry-specific IDP providers’ capabilities on Everest Group’s PEAK Matrix®. This research helps buyers select the right-fit technology providers for their needs and empowers technology providers to benchmark themselves against their competition. Scope All industries and geographies The report focuses on IDP solutions sold on license, regardless of any ongoing business or IT process outsourcing or managed services The report includes leading technology providers in the IDP market and providers that focus on the BFS-specific IDP market Contents In this report, we: Assess leading IDP technology providers and those specializing in BFS-specific IDP processes Position providers as Leaders, Major Contenders, Aspirants, and Star Performers Analyze the technology providers market’s competitive landscape Compare providers’ key strengths and limitations

Intelligent Document Processing (IDP) is an effective tool for enterprises seeking to reduce costs, improve employee and customer experiences, enhance overall efficiency, and tackle diverse document types. However, enterprises are often conservative when embarking on their IDP journeys due to ambiguity regarding the expected RoI and the impact IDP adoption can drive. In this report, we examine key IDP market trends and use cases across industries and functions. The report presents a detailed ROI assessment framework and evaluates IDP’s RoI across three use cases: invoice processing, insurance claims processing, and customer onboarding. By offering insights into various costs, hard and soft benefits, and RoI expectations, it equips business leaders to build a compelling business case for IDP adoption. The report also includes key success factors for organizations to gain maximum value from IDP deployment and unlock its full potential. Scope All industries and geographies Contents In this report, we: Examine IDP overview Assess key IDP use cases across industries and functions Analyze a framework to assess IDP’s RoI through three high-potential use cases Evaluate key success factors to maximize RoI from IDP 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

Process mining is a software product that analyzes process-related information from event logs generated by enterprise systems (ERP, CRM, etc.) to offer a fact-based approach to discover, monitor, and optimize as-is processes. It is a data-based approach to process optimization through applications and use cases spanning industries and process areas. Process mining improves operational efficiency, process governance and compliance, and customer experience. To support enterprise objectives, providers are upgrading their process mining product capabilities and expanding their features and functionalities. In this report, we analyze the process mining market, software providers, and third-party enablers (providers and system integrators). The report also examines market size, adoption trends, solution characteristics, product capabilities and trends, and the provider landscape. Scope All industries and geographies Process mining software products that are sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we examine: Process intelligence Process mining market overview Buyer insights Process mining solution characteristics Process mining product capabilities and trends Process mining provider landscape Market outlook for 2024-25 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Process mining drives operational excellence and facilitates enterprises’ digital transformation initiatives. It analyzes process-related information, primarily from event logs that enterprise systems (ERP, CRM, etc.) generate, offering a fact-based approach to discover, monitor, and optimize as-is processes. The global process mining market is growing, with diverse applications across business functions and industries. Process mining can enhance operational efficiencies, ensure process governance and compliances, and elevate customer experiences. To support enterprise objectives, providers are launching process mining products with advanced capabilities and innovative features and functionalities. Therefore, organizations must select the right enterprise-grade process mining solution to realize their expected benefits. This compendium provides accurate, comprehensive, and fact-based snapshots of 21 process mining technology providers’ offerings and capabilities. Each provider profile includes the company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features and functionalities, key enhancements, and capabilities. The report will enable buyers to select the best-fit provider for their needs. 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 2023, interactions with leading process mining technology providers, client reference checks, and an ongoing analysis of the process mining market Content 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 capabilities and key enhancements Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Intelligent Document Processing (IDP) is any software product or solution that uses AI technologies to capture, categorize, and extract data from various document types for further processing. This typically non-invasive solution can be integrated with internal applications, systems, and other automation platforms. IDP technology providers are increasingly offering low-code/no-code capabilities to enable citizen developers to build document intake and processing workflows. Providers are also integrating IDP with Large Language Models (LLMs) to improve extraction accuracy and enable users to interact with documents via natural language prompts. IDP adoption helps enterprises save costs and improve workforce productivity and employee and customer experiences. In this report, we examine the IDP market, including buyers, software providers, and third-party enablers (providers and system integrators). The report also analyzes market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, provider landscape, IDP adoption challenges, and outlook for 2024-25. It also offers insights into the banking- and insurance-specific IDP market, covering key use cases, capabilities, and trends. Scope All industries and geographies The report prioritizes IDP and banking- and insurance-specific IDP solutions sold on license, regardless of any ongoing business or IT process outsourcing or managed services This assessment is based on Everest Group’s annual RFI process for the calendar year 2023-24, interactions with leading IDP buyers and providers, client reference checks, and an ongoing analysis of the IDP market Contents In this report, we: Examine the IDP market outlook for 2024-25, market size, and adoption trends Analyze the IDP provider landscape and buyer expectations Assess IDP product capabilities, trends, and solution characteristics Study banking- and insurance-specific document processing Identify challenges and best practices for IDP adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management