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

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

As enterprises navigate today’s ever-evolving digital landscape, rapid time-to-value is increasingly essential to stay competitive. To drive efficiency, agility, and new business models, enterprises are investing in digital transformation initiatives, with generative AI emerging as a key enabler. Generative AI can automate processes, enhance decision-making, and fuel innovation, yet its adoption presents challenges in data complexity, security, and scalability and operational reliability. Intelligent Automation Platforms (IAPs) offer a robust framework to overcome these limitations, providing governance, security, and scalability to maximize generative AI’s potential. Through integration with IAPs, generative AI can support complex use cases, increase flexibility, and improve data flow management, making AI-driven applications more reliable and effective. In this viewpoint, we examine enterprises’ priorities to scale digital transformation, explore risks associated with generative AI adoption, and detail how IAPs can mitigate these challenges. It aims to guide IT leaders, business excellence teams, and digital transformation decision-makers in harnessing the combined power of generative AI and IAPs to achieve digital transformation objectives. Scope All industries and geographies Contents In this report, we assess: Enterprises’ priorities to scale digital transformation initiatives Key risks associated with generative AI adoption How enterprises can mitigate generative AI risks using IAPs The integration of generative AI and IAPs to empower digital transformation 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

Enterprises are embracing Intelligent Automation (IA) technologies, signifying migration from standalone Robotic Process Automation (RPA) solutions to holistic automation strategies to achieve scalability. Technology providers have been instrumental in this transition by offering unified IA platforms that combine RPA, AI, process intelligence, and process orchestration. With increased stakes and investment levels, enterprise leaders strive to make data-driven sourcing decisions. Everest Group performed an independent, comprehensive cost-benefit analysis using its Total Value Added (TVA) framework. This analysis evaluates RoI realized by enterprise clients of two prominent Intelligent Automation Platform (IAP) providers. This report features TVA profiles of these IAP technology providers, detailing the RoI obtained by their referenced clients. The report includes an overview of the client organization, key drivers, provider selection criteria, TVA framework and assumptions, and financial and non-financial benefits analysis. Additionally, the report offers an in-depth look at the costs involved, the risk-adjusted RoI over three years, the net benefit following IAP deployment, and the payback period. Scope Geography: global Providers: Tungsten Automation and UiPath Product: IAP Contents This report includes TVA profiles of two leading IAP technology providers and covers the following: Client organization’s overview Key drivers and provider selection criteria Framework and assumptions Financial and non-financial benefits analysis Cost analysis Risk-adjusted RoI for a three-year term Net benefit post IAP deployment Payback period Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

In recent years, macroeconomic uncertainties have highlighted the challenges traditional businesses face. These challenges underscore the significance of holistic automation through a combination of Intelligent Automation (IA) technologies. Enterprises embarking on IA journeys must make a pivotal decision regarding sourcing IA technologies and choose between a best-of-breed approach or a unified platform approach. Enterprises should consider cost drivers, breadth of use cases, and the current maturity of technology adoption while selecting the right-fit sourcing approach. There is a growing need to enhance the value derived from IA and streamline the costs and efforts associated with provider portfolio management. As a result, enterprises are increasingly opting for the adoption of a unified IA platform and grappling with multiple questions spanning from the scalability and security of the IA platform to its ease of use for business users. In this viewpoint, we present Everest Group’s findings from a survey of 100+ enterprise executives and IA practitioners from organizations across industries. The report will help enterprises and technology providers understand the most vital capabilities of enterprise-grade unified IA platforms, along with the role of gen AI enhancements. Scope All industries and geographies Contents In this report, we: Understand the definition of a unified IA platform, key adoption drivers, and gen AI’s impact on IA platform Assess characteristics of enterprise-grade IA platforms, enterprise preferences, and product capabilities Evaluate provider capabilities to make unified IA platforms enterprise-fit Identify challenges in IA platforms’ adoption Recommend best practices to drive unified IA platforms’ enterprise-wide adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

In recent years, enterprise adoption of automation technologies has been on the rise, with Robotic Process Automation (RPA) emerging as a key enabler of enterprise automation, adapting to organizations’ evolving needs. The emergence of generative AI is further transforming RPA product capabilities, offering unprecedented functionalities to automate complex and cognitive tasks. Despite recessionary headwinds, the RPA market is experiencing steady growth as organizations worldwide adopt RPA solutions to achieve cost savings and enhance productivity. RPA solutions are rapidly advancing in terms of product features, deployment options, product architecture, training and support, partner ecosystem, and commercial models. However, to realize the full benefits of automation, it is vital for enterprises to stay well-informed about the latest trends in the RPA market and carefully select the best-fit RPA provider for their needs. In this report, we provide accurate, comprehensive, and fact-based snapshots of the RPA market and analyze it across various dimensions such as market size and adoption trends, buyer expectations, key barriers to RPA adoption and best practices, solution characteristics, product capabilities and trends, RPA market competitive landscape, and outlook for 2024-25. Scope All industries and geographies RPA products sold on license, irrespective of any ongoing business or IT process outsourcing or managed services Contents In this report, we study: RPA market size and adoption trends Buyer expectations Key barriers to adoption and best practices RPA solution characteristics RPA product capabilities and trends RPA market competitive landscape 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 marked by rising inflation, economic slowdown, geopolitical tensions, supply chain disruptions, and talent shortage. 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’ 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 share 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 Short description This report provides accurate, comprehensive, and fact-based snapshots of 23 Robotic Process Automation (RPA) technology providers’ offerings and capabilities. Each profile includes the provider’s 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 report 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. Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

The life sciences industry is rapidly evolving due to macroeconomic shifts, regulatory changes, and increasing competition. These changes have also presented multiple challenges with regard to raw material management, drug efficacy, adherence to safety norms, and patient experience. To overcome these obstacles and seize opportunities, life sciences enterprises need to invest in digital transformation initiatives and scale them to achieve the desired business objectives. However, enterprises often fail to achieve their digital transformation goals and RoI due to inadequate process understanding, resulting in inefficiencies across the life sciences value chain. Therefore, it is important for life science enterprises to understand and optimize their business processes before they implement a new technology solution and scale their digital transformation programs. This report will help life sciences enterprises understand how process mining solutions can help them discover, monitor, and improve their processes to successfully implement transformation initiatives across different stages of the life sciences value chain, such as clinical trials, drug manufacturing, pharmacovigilance, inventory management, and quality control. It also looks at adoption challenges and recommends best practices to drive superior outcomes and position life sciences organizations for long-term success in an ever-evolving industry. Scope All industries and geographies Contents In this viewpoint, we: Examine the life sciences industry’s current state, including key trends and challenges Introduce process mining Discuss process mining adoption in the life sciences industry Understand key barriers and recommend best practices to accelerating process mining adoption Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management