The Robotic Process Automation (RPA) landscape has entered a phase of consolidation, with a slew of M&As in the space in the last couple of years. The market is also experiencing steady growth across industries and geographies, as enterprises realize benefits such as lower costs, improved operational efficiencies and quality, higher workforce productivity, enhanced customer and employee experience, and quicker time-to-value. To facilitate enterprises in their automation journeys, RPA implementations are rapidly evolving in terms of product features, deployment options, product architecture, training and support, partner ecosystem, and commercial models. Thus, it is vital for buyers to be well informed about the latest trends in the RPA market to select the right enterprise-grade solution. This research provides RPA buyers, software providers, and third-party enablers (service providers, system integrators, etc.) a detailed view of the current state of the RPA market and analyzes it across various dimensions, including market size and adoption trends, buyer expectations, key barriers to RPA adoption and best practices, solution characteristics, product capabilities and trends, RPA technology provider landscape, and outlook for 2022-23. Scope All geographies and industries RPA products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this research, we study the following topics: RPA market size and adoption trends Buyer expectations Key barriers to adoption and best practices RPA solution characteristics RPA product capabilities and trends RPA provider landscape Outlook for 2022-23 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

With the COVID-19 pandemic accelerating the need for digital transformation among enterprises across industries and geographies, Robotic Process Automation (RPA) has emerged as a key enabler in the enterprise automation segment. While the overall automation ecosystem is rapidly evolving through new technologies, such as Intelligent Document Processing (IDP) and conversational Artificial Intelligence (AI), RPA continues to remain a foundational element of this ecosystem. The RPA market has been one of the fastest-growing software markets in the past decade and has played a key role in helping organizations reduce costs, achieve greater operational efficiencies and quality, increase workforce productivity, enhance customer and employee experience, and realize quick time-to-value. Encouraged by a growing number of success stories and positive word-of-mouth, many enterprises, Global Business Services (GBS) organizations, and service providers are investing in RPA. However, to achieve success, it is vital to select the right enterprise-grade RPA solution. This report provides key stakeholders a snapshot of the RPA offerings and capabilities of 23 leading RPA technology providers. The report will help existing and potential buyers of RPA software to assess the technology providers on the capabilities they desire. It will also allow technology providers to compare their offerings, capabilities, and strengths and limitations with other providers in the marketplace. Scope: All industries and geographies RPA products that are sold on license and irrespective of any ongoing business or IT process outsourcing or managed services were considered for this report Contents: This report provides a snapshot of 23 leading RPA technology providers’ offerings and capabilities. Each technology provider profile includes the following details: Company overview Recent deals and announcements Market adoption and client portfolio mix Key product enhancements Delivery capabilities and partnerships Measures of capabilities across PEAK Matrix® dimensions Key strengths and limitations of the technology providers Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The COVID-19 pandemic heavily impacted the healthcare industry, with healthcare payers and providers grappling with a shortage of resources due to skyrocketing demand, reduced operational margins due to economic uncertainties, and additional administrative cost overheads. Several trends, such as telehealth, digitalization, and automation, emerged to sustain and transform the healthcare industry following the crisis. Among the technologies which experienced widespread adoption was Intelligent Document Processing (IDP). IDP is a software product or solution that captures data from documents (such as emails, text, PDFs, and scanned documents), categorizes it, and extracts relevant data for further processing using Artificial Intelligence (AI) technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and Machine Learning (ML). IDP adoption grew 30-35% YoY among healthcare payers and a whopping 190-200% YoY among providers in 2020. Additionally, new use cases, especially among healthcare providers, also drove growth. This viewpoint examines the challenges and emerging trends in the healthcare industry and focuses on the adoption of intelligent automation in healthcare, with special emphasis on the key capabilities of IDP solutions and its use cases in healthcare. Scope Industry: healthcare Geographic scope: global Contents In this research, we discuss: The challenges and emerging trends in the healthcare industry Intelligent automation adoption in healthcare Key IDP capabilities and their benefits for enterprises How the healthcare industry is leveraging IDP Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Unstructured documents refer to documents without a pre-defined layout, which have a high structural and semantic variability, such as contracts and emails. Although such documents are highly prevalent in an organization’s routine transactions, enterprises have largely relied on extracting information from them via manual processes, which are time-consuming, error-prone, and inscrutable. Intelligent Document Processing (IDP) is an AI-enabled document-processing approach that helps automate data extraction from such non-templatized documents. It has enabled enterprises to achieve reasonable levels of accuracy and Straight-Through Processing (STP) rates in processing semi-structured documents such as invoices and purchase order bills. In the last few years, IDP vendors have been focusing on processing unstructured documents that were largely untouched earlier. IDP construct for unstructured documents is different from semi-structured documents in terms of document complexity, underlying technology, and expected outcomes. Therefore, it is essential for an enterprise buyer to understand the key use cases and technology capabilities of an IDP solution for unstructured documents to choose the best-fit provider and align stakeholders’ expectations. This viewpoint intends to create awareness about the use of IDP for unstructured documents, outlining the key differences between the application and benefits of IDP for unstructured documents versus semi-structured documents. Scope All industries and geographies Contents In this research, we study: Document processing challenges for enterprises Emerging IDP solutions with capabilities for unstructured documents The application of IDP for unstructured documents Key considerations and best practices to ensure successful IDP adoption, including an enterprise case study Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

With the COVID-19 pandemic accelerating the need for digital transformation among enterprises across industries and geographies, Robotic Process Automation (RPA) has emerged as a key enabler in the enterprise automation segment. The RPA market has been one of the fastest-growing software markets in the past decade and has played a key role in helping organizations reduce costs, achieve greater operational efficiencies and quality, increase workforce productivity, enhance customer and employee experience, and realize quick time-to-value. Encouraged by a growing number of success stories and positive word-of-mouth, many enterprises, Global Business Services (GBS) organizations, and service providers are investing in RPA. However, to achieve success, it is critical to select the right enterprise-grade RPA solutions. In this report, we study 23 RPA technology providers and position them on Everest Group’s PEAK Matrix®, categorizing them into Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Scope: All industries and geographies RPA products that are sold on license and irrespective of any ongoing business or IT process outsourcing or managed services were considered for this report Contents: In this PEAK Matrix report, we study: Everest Group’s PEAK Matrix evaluation of RPA technology providers and their categorization into Leaders, Major Contenders, and Aspirants Competitive landscape of the RPA technology provider market Key RPA technology trends Key strengths and limitations of each RPA technology provider Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Everest Group defines Intelligent Document Processing (IDP) as the capturing of data from documents (e.g., emails, texts, PDFs, and scanned documents) and its categorization and extraction for further processing using AI technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and machine/deep learning. These solutions not only help enterprises achieve cost savings, but also improve their productivity and employee and customer experience. The landscape of IDP vendors is growing rapidly, with many vendors seeking to address complex document processing use cases. With increasing applications across business functions and verticals, IDP products are rapidly becoming more sophisticated in their capabilities, features, and functionalities. The impact of COVID-19 on business continuity and resilience, remote working models, and digitalization has further driven demand. This research provides IDP buyers, software vendors, and third-party enablers (service providers, system integrators) a detailed view of the IDP market by analyzing it across various dimensions, including market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, vendor landscape, challenges to IDP adoption, and outlook for 2021-22. Scope All geographies and industries IDP software products that leverage AI / cognitive capabilities and are available for independent licensing have been considered for this report. These products are offered as either platforms that allow enterprises to deploy them as out-of-the box solutions using pre-built modules or as custom solutions that help classify and extract data from documents We have analyzed the following technology vendors as part of this report: ABBYY, AntWorks, Automation Anywhere, BIS, Celaton, Datamatics, EdgeVerve, Evolution AI, GuardX, HCL Technologies, Hypatos, Hyperscience, i3systems, IBM, Indico, Infrrd, JIFFY.ai, Kofax, Nividous, Parascript, qBotica, Rossum, Singularity Systems, SortSpoke, TAIGER, UST SmartOps, and WorkFusion Contents In this research, we study the following topics: Introduction to IDP IDP market size and adoption trends Buyer expectations IDP product capabilities and trends IDP solution characteristics IDP vendor landscape Challenges to IDP adoption Best practices Outlook for 2021-22 Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Enterprises globally have realized the need to evolve into digital-first businesses to remain resilient and competitive. However, quite often, enterprises embarking on digital transformation face challenges such as a heavy reliance on manual techniques in creating a healthy transformation pipeline. Process mining is an emerging technology that helps enterprises overcome these limitations by providing a data-driven view of their business processes. Process mining solutions leverage different types of system and user activity data to create an accurate, detailed picture of real-world processes. Everest Group’s Process Mining Playbook provides an in-depth understanding of the process mining solution, its advantages and limitations, key use cases across different business functions, and an overview of its role across the different stages of the digital transformation life cycle. The Playbook describes a step-by-step approach to adopt and scale up the use of process mining solutions, tapping into various frameworks, such as the Everest Group Pinnacle Model® and the Capability Maturity Model (CMM). It will enable enterprises to determine where they want to get with process mining deployment, create a business case for adoption, identify the capabilities they need to develop to get there, and plot the paths for their journeys. Scope All industries and geographies Contents In this report, we: Discuss the need for digital operations Define process mining and describe its benefits, applications, and use cases Analyze the role of process mining across the digital transformation life cycle Outline an enterprise process mining journey Examine the challenges and best practices for the process mining journey Define frameworks to accelerate process mining adoption Describe process mining market characteristics Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Everest Group defines Intelligent Document Processing (IDP) as a process that leverages a software product or solution to capture data from documents (e.g., emails, text, PDFs, and scanned documents), categorize it, and extract relevant data for further processing using AI technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and machine/deep learning. The solution is typically non-invasive and can be integrated with internal applications, systems, and other automation platforms. IDP products find a wide range of uses in different business functions and verticals. They are offered as either platforms that allow enterprises to deploy out-of-the-box solutions using pre-built modules or as custom solutions that help buyers classify and extract data from documents. IDP solutions help enterprises to not only achieve cost savings, but also improve workforce productivity and employee and customer experience. These products are rapidly becoming more sophisticated in their capabilities, features, and functionalities. In this report, we feature detailed profiles of 27 leading IDP technology vendors and evaluate their offerings and capabilities to assist existing and potential IDP buyers in assessing the vendors on the capabilities they desire. Scope All industries and geographies Contents This report provides key stakeholders a snapshot of 27 leading IDP technology vendors’ offerings and capabilities. It also allows technology vendors to compare their offerings, capabilities, strengths, and limitations with other vendors in the marketplace. Each technology vendor profile includes the following details: Company overview Recent investments & announcements Market adoption & capability overview Client portfolio mix Partnerships Product overview Product features & functionalities and key enhancements Capabilities across PEAK Matrix® dimensions Key strengths & limitations Membership(s) Service Optimization Technologies (SOT)Sourcing and Vendor Management

Robotic Process Automation (RPA) has been among the fastest growing markets in the enterprise automation segment in the past decade, with wide adoption across industries and geographies, as more enterprises become aware of its benefits. It has been a key enabler for organizations in reducing costs, improving operational efficiency and quality, increasing workforce productivity, enhancing customer and employee experience, and realizing quicker time-to-value. Encouraged by a growing number of success stories and positive word of mouth, many enterprises, Global Business Services (GBS) firms, and service providers are investing in RPA. RPA itself is a burgeoning market, rapidly evolving in terms of product features, deployment options, product architecture, training and support, partner ecosystem, and commercial models. Thus, investing in RPA is not enough – selecting the right enterprise-grade RPA technology partner is critical to success. This research provides RPA buyers, software vendors, and third-party enablers (service providers, system integrators, etc.) a detailed view of the current state of the market and analyzes it across various dimensions, including market size and adoption trends, buyer expectations, key barriers to RPA adoption and best practices, solution characteristics, product capabilities & trends, RPA vendor landscape, and outlook for 2021-22. Scope All geographies and industries RPA products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services RPA products from 21 leading global technology vendors: Appian, Automation Anywhere, AutomationEdge, Blue Prism, Datamatics, ElectroNeek, HelpSystems, Intellibot, Jacada, Kofax, Kryon, NICE, Nintex, Nividous, Pegasystems, Perpetuuiti, Qruize, Servicetrace, Softomotive, UiPath, and WorkFusion Contents In this research, we study the following topics: Impact of COVID-19 on the market RPA market size and adoption trends Buyer expectations Key barriers to adoption and best practices RPA solution characteristics RPA product capabilities and trends RPA vendor landscape Outlook for 2021-22 Membership(s) Service Optimization Technologies Sourcing and Vendor Management

Robotic Process Automation (RPA) has emerged as one of the fastest-growing markets in the enterprise automation segment in the past decade, with COVID-19 further accelerating its adoption across industries and geographies. RPA has enabled organizations to reduce costs, achieve greater operational efficiencies and higher quality, increase workforce productivity, enhance customer and employee experience, and realize quicker time-to-value. At the same time, it is critical to select the right enterprise-grade RPA technology partners to achieve success. In this report, we share detailed profiles of 21 leading RPA technology vendors’ offerings and capabilities. The study will allow technology vendors to compare their offerings, capabilities, strengths, and areas of improvement with other vendors. It will also help existing and potential buyers of RPA assess the technology vendors on the capabilities they desire. Scope RPA products sold on license and irrespective of any ongoing business or IT process outsourcing or managed services The report evaluates the following 21 global vendors: Appian, Automation Anywhere, AutomationEdge, Blue Prism, Datamatics, ElectroNeek, HelpSystems, Intellibot, Jacada, Kofax, Kryon, NICE, Nintex, Nividous, Pegasystems, Perpetuuiti, Qruize, Servicetrace, Softomotive, UiPath, and WorkFusion Contents This report provides a snapshot of 21 leading RPA technology vendors’ offerings and capabilities. Each technology vendor profile includes the following details: Company overview Recent deals and announcements Market adoption and client portfolio mix Product features and functionalities, and key enhancements Delivery capabilities Partnerships Measure of capabilities across PEAK Matrix® dimensions Key strengths and areas of improvement Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management