Recent global events such as the COVID-19 pandemic, the Great Resignation, the Ukraine-Russia conflict, and rising inflation have repeatedly tested organizations’ ability to adapt in an increasingly volatile world. Enterprises, irrespective of industry or size, are embracing automation, making it a strategic agenda across functions and lines of business. Today, automation has evolved from simple task-based automation to a full ecosystem of Intelligent Automation (IA) technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), process mining, task mining, API automation, and process orchestration. As these technologies are relatively new, one of the most common challenges that enterprises face is measuring the Total Cost of Ownership (TCO) and IA benefits to arrive at the true Return on Investment (RoI) from their automation programs as they scale. While most digital transformation leaders believe that they are running a top-tier automation program, a closer look reveals that many have a narrow view of their TCO. Organizations must have a comprehensive view of their costs, and it is this overarching perspective that separates what we call the true leaders from the false achievers. To understand the challenges and best practices of digital transformation leaders as they develop a comprehensive view of their automation costs and benefits, Everest Group surveyed 50 executives across enterprises and industries at different stages of their automation journeys. This report combines findings from the survey and select in-depth interviews, along with Everest Group’s ongoing research and IP on IA. Scope All industries and geographies Contents In this report, we: Examine the current state of IA Discuss the challenges in measuring the true automation RoI Analyze how true achievers in IA approach TCO compared to others Review the unique strategies that true achievers use to achieve higher RoI Membership (s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The post-pandemic era is repeatedly stress-testing organizations’ abilities to adapt to a volatile world through rising inflation, an economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortages. Amid these uncertainties, corporate executives are increasingly adopting automation as a strategic initiative to emerge successful in the marketplace. Robotic Process Automation (RPA) continues to be a key enabler for enterprise automation and is strengthened by new technologies such as Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI. RPA provides a host of benefits to enterprises, including cost savings, improved operational efficiency, and enhanced customer and employee experience. However, despite its benefits, it is vital for organizations to select the right enterprise-grade RPA solution for their needs. In this compendium, we provide accurate, comprehensive, and fact-based snapshots of 23 RPA technology providers, covering the providers’ company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features, functionalities and key enhancements, capabilities across PEAK Matrix® dimensions, and key strengths and limitations. The compendium will enable providers to benchmark their capabilities against their competitors, while buyers of RPA software will be able to assess the providers based on their desired set of capabilities. Scope All industries and geographies Contents In this report, we evaluate 23 RPA technology providers and provide the following provider-specific details: Company overview Recent deals and announcements Product overview Market adoption and client portfolio mix Product features, functionalities, and enhancements Capabilities across PEAK Matrix® dimensions Key strengths and limitations Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The post-pandemic era is repeatedly stress-testing organizations’ abilities to adapt to a volatile world through rising inflation, an economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortages. As corporate executives go back to the drawing board to re-examine their strategic priorities, they are increasingly regarding automation as a strategic initiative to emerge successful amid these uncertainties. For long, Robotic Process Automation (RPA) has remained a key enabler for enterprise automation. While the overall automation ecosystem is rapidly evolving through new technologies – such as Intelligent Document Processing (IDP), process mining, task mining, API-based automation, process orchestration, and conversational AI – these technologies only strengthen RPA, which continues to be a foundational element of enterprise automation. RPA provides a host of benefits to enterprises, including improved operational efficiency, enhanced customer and employee experience, and a workforce engaged in strategic activities. With Big Tech firms entering the space, RPA has become one of the fastest-growing software markets. In this report, we study 23 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 right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other. 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 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 IDP technology provider market is growing rapidly, with many providers 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 rethinking 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 and system integrators) a detailed view of the IDP market by analyzing it across dimensions such as market size and adoption trends, buyer satisfaction, product capabilities and trends, solution characteristics, provider landscape, challenges to IDP adoption, and outlook for 2022-23. 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 providers as part of this report: ABBYY, Appian, Alkymi, AntWorks, Automation Anywhere, Celaton, codemantra, Datamatics, Docvu.AI, EdgeVerve, Eigen Technologies, Ephesoft, Evolution AI, FOSFOR by LTI, HCL Technologies, Hypatos, Hyperscience, IBM, Indico Data, Infrrd, JIFFY.ai, KnowledgeLake, Kofax, KoiReader, Laiye, Microsoft, Nividous, OpenBots, Parascript, Parashift, qBotica, Rossum, Singularity Systems, Straive, UiPath, and WorkFusion Contents In this research, we study the following topics: Introduction to IDP IDP market characteristics Buyer expectations IDP product capabilities and trends IDP solution characteristics IDP provider landscape Challenges to IDP adoption Best practices Outlook for 2022-23 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 36 leading IDP technology providers and evaluate their offerings and capabilities to assist existing and potential IDP buyers in assessing the providers on the capabilities they desire. Scope All industries and geographies Contents This report provides key stakeholders a snapshot of 36 leading IDP technology providers’ offerings and capabilities. It also allows technology providers to compare their offerings, capabilities, strengths, and limitations with other providers in the marketplace. Each technology provider 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

Intelligent Document Processing (IDP) products are an essential component of an enterprise’s automation technologies portfolio. IDP leverages Artificial Intelligence (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. The need to improve operational efficiencies and employee productivity, achieve cost savings, and enhance employee and customer experience is driving IDP adoption among enterprises. IDP products are also rapidly becoming more sophisticated in terms of their capabilities, features, and functionalities. To achieve success in implementing IDP, enterprises need to select the right IDP technology partner. In this report, we study 36 IDP technology providers and position them on Everest Group’s PEAK Matrix®, categorizing them into Leaders, Major Contenders, Aspirants, and Star Performers based on their capabilities and offerings. The research will help buyers select right-fit technology providers for their needs, while technology providers will be able to benchmark themselves against each other. Scope All industries and geographies IDP 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 PEAK Matrix report examines: Everest Group’s PEAK Matrix evaluation of IDP technology providers and their categorization into Leaders, Major Contenders, and Aspirants Competitive landscape of the IDP technology provider market Key IDP technology trends Key strengths and limitations of each IDP technology provider Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

As organizations look to drive enterprise-wide adoption of automation technologies to improve value realization, the demand for attended Robotic Process Automation (RPA) is rising. Attended RPA enables enterprises to democratize automation’s use by providing employees with their own personal digital assistants or robots on-demand to automate mundane repetitive tasks, which helps increase employee productivity and improve experience by enabling employees to focus on more value-add work. While unattended and attended RPA work in concert for several use cases, they leverage different automation elements for different purposes. Hence, the technological capabilities required for an attended RPA solution are different from unattended RPA. The understanding of attended RPA is increasing on the supply side, with technology providers adding new features to their solutions, but there are differing perspectives on what an enterprise-grade solution should include. To understand the product and provider capabilities that enterprises value most vis-à-vis attended RPA solutions, Everest Group surveyed enterprise executives and RPA practitioners across organizational sizes and industries. This report combines the findings from the survey and select in-depth interviews, as well as Everest Group’s ongoing research and IP on RPA, to provide insights on attended RPA. We explore the attended RPA journey from an enterprise practitioner’s perspective and identify provider and product capabilities that matter most to enterprises. We also examine how mature enterprises have deployed attended RPA at scale and provide insights on the product capabilities that enterprises value more. Scope All industries and geographies Contents In this report, we: Introduce attended RPA and its key adoption drivers Share the key characteristics of an enterprise-grade attended RPA solution Describe other provider capabilities that matter to enterprises Identify the key barriers to adopting/scaling attended RPA Outline the best practices for successful attended RPA adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

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

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