Businesses must adapt to the evolving digital landscape to remain competitive and resilient. As manual operations continue to present scalability and accuracy challenges, organizations are increasingly shifting toward digital, automated, and intelligent processes. Intelligent Automation (IA) has become foundational in enabling enterprises to boost productivity and efficiency, especially amid cost optimization pressures in uncertain economic conditions.. Intelligent Process Automation (IPA) is among the most effective digital transformation drivers. Recognizing growing enterprise demand, solution providers are rapidly evolving their offerings to embed advanced technologies such as agentic AI, generative AI, and orchestration frameworks into their IPA portfolios.. Everest Group defines IPA as the application of IA in business processes through a combination of technologies, including RPA and cognitive/AI-based automation. This report presents detailed profiles of 24 leading IPA solution providers and evaluates their offerings and capabilities. It enables IPA buyers to identify the best-fit providers based on their specific automation goals. Additionally, it will enable solution providers to assess how their capabilities and offerings stack up against those of their competitors. Scope IPA solutions: includes the sourcing of IPA technology products bundled with consulting, implementation, and maintenance services. It does not include traditional BPO services IPA services only: includes consulting, implementation, and maintenance of IPA solutions The report excludes IPA technology products licensed independently or embedded within broader BPO deals Coverage: all industries and geographies Contents This report provides a detailed view of 24 IPA solution providers’ capabilities. Each profile includes the company’s: Overview and recent deals and announcements IPA revenue and FTE mix Solutions portfolio

Agentic AI is reshaping how enterprises approach AI adoption by enabling intelligent, autonomous, interoperable, and proactive systems. It bridges the gap between systems and humans, enabling organizations to deliver highly personalized, emotionally intelligent, and contextually aware interactions at scale. At Google Cloud Next 2025, Google introduced a structured and modular approach to enterprise agent deployment, focused on reducing provider lock-in and enabling scalable AI agent deployment. Key announcements included Agentspace, an platform for agentic search and no-code agent creation, and the Agent2Agent Protocol, a cross-provider communication standard. Other major product announcements included AI Agent Marketplace, Agent Development Kit, and Agent Engine. In this report, we analyze Google’s product announcements from Cloud Next 2025 against prevailing enterprise demand themes for agentic AI, such as the need for multimodal capabilities, platform scalability, and AI stack optimization. The report evaluates Google’s strengths, differentiators, and areas where operational complexity, ecosystem maturity, and governance clarity can be improved to enhance enterprise adoption. Scope All industries and geographies This assessment is based on Everest Group’s review of announcements made at Google Cloud Next 2025 Contents In this report, we: Key themes driving and inhibiting enterprise demand for agentic AI Google’s current positioning in the agentic AI market Announcements from Google Cloud Next 2025 Google’s enterprise agentic AI offerings

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

To stay competitive, companies are transitioning to a digital-first business model. Manual processes present numerous challenges, prompting enterprises to seek superior alternatives in digital, automated, and intelligent business practices. Intelligent Automation (IA) boosts productivity and streamlines processes. With rapid generative AI advances, enterprises are accelerating automation initiatives and prioritizing more adaptive, context-aware, and human-like automation solutions that enhance decision-making and process optimization. Additionally, agentic AI is emerging as a key enabler, allowing AI-powered systems to execute complex tasks autonomously while continuously learning and improving. In response, providers are adopting Intelligent Process Automation (IPA). IPA helps businesses navigate market complexities with increased agility and clarity. In this report, we examine 24 IPA solution providers’ capabilities and position them on Everest Group’s PEAK Matrix® as Leaders, Major Contenders, Aspirants, and Star Performers. The report enables buyers to select the right-fit providers for their needs and empowers providers to benchmark themselves against each other. Scope All industries and geographies IPA solutions: Sourcing IPA technology products, along with consulting, implementation, and maintenance services, but no traditional BPO services IPA services: Sourcing IPA services such as consulting, implementation, and maintenance This report does not cover IPA technology products that are licensed independently or embedded in broader BPO deals Contents In this report, we: Assess the IPA solutions provider market Position IPA solution providers as Leaders, Major Contenders, Aspirants, and Star Performers Compare providers’ key strengths and limitations

Enterprises are navigating a complex business environment, with a strong emphasis on resilience, agility, and cost optimization. Traditional automation has enhanced efficiency by streamlining processes and cutting costs. However, its limitations, such as its reliance on structured data and a lack of autonomy, are becoming increasingly apparent. In contrast, agentic AI, a form of AI that makes decisions and takes action, redefines automation boundaries by handling complex, context-sensitive workflows requiring autonomous decision-making. Agentic AI complements and augments existing technologies instead of replacing them, thus driving a new era of innovation – agentic automation. In this report, we examine the evolution of automation and explore how agentic automation is poised to revolutionize business operations by optimizing workflows, enhancing decision-making, and unlocking new opportunities for innovation and growth. The report analyzes agentic AI’s potential across industries and business functions, highlighting how agentic automation can help enterprises navigate challenges and remain competitive in the market. Scope All industries and business functions Contents In this report, we: Understand agentic AI Explore the evolution of automation and the emergence of agentic automation Analyze expected agentic automation’s impact on key industries and business functions Assess key agentic automation use cases with the potential to scale Evaluate agentic automation implications for enterprises Examine the future outlook Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

In a rapidly evolving landscape of technology advances and shifting market demands, Conversational AI (CAI) drives business transformation. With a focus on internal innovation as a precursor to external success, this report highlights how CAI enhances employee productivity, streamlines operations, drives customer engagement, and automates intricate workflows. In this report, we examine CAI’s role in achieving internal efficiency and external excellence and present a comprehensive roadmap for its adoption and implementation. The report highlights CAI’s transformative impact by prioritizing its deployment in internal departments, such as HR and IT. Building on this foundation, organizations can scale CAI across the enterprise and extend its application to external-facing processes, highlighting its critical role in enabling end-to-end business transformation. The report highlights CAI’s vital role in shaping business strategies, offering actionable insights for its adoption, and showing its ability to deliver personalized interactions and improve operational efficiency. Scope All industries and geographies Contents In this report, we: Analyze CAI’s strategic importance in shaping business strategies Offer a comprehensive enterprise roadmap for effective CAI adoption Examine how CAI drives holistic business transformation across organizational processes Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Organizations are increasingly relying on automation to boost efficiency and gain a competitive edge. Once limited to simple and repetitive tasks, automation has evolved to handle complex operations. Generative AI has been a game changer in this journey, enabling machines to create and innovate in ways previously limited to human capabilities. The next significant leap in automation is the emergence of agentic AI, which promises to push the boundaries even further by integrating autonomy, adaptability, and decision-making. This advancement allows systems to operate with minimal human intervention, making real-time decisions based on dynamic circumstances, ultimately helping organizations streamline operations and maintain competitive advantage. This report assesses 18 agentic AI technology, positioning them on Everest Group’s Innovation Watch Assessment framework as Luminaries, Fast Followers, Influencers, and Seekers. Scope All industries and geographies This report is based on Everest Group’s interactions with leading agentic AI technology providers and agentic AI technology’s ongoing analysis Contents In this report, we: Position 18 agentic AI technology providers on Everest Group’s Innovation Watch Assessment framework Offer an overview of the providers’ agentic AI products Examine key business challenges and agentic AI’s role in addressing them Provide a framework to prioritize investments in agentic AI use cases Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

With new innovations and technologies entering the market, organizations must evolve into digital-first businesses to stay resilient and competitive. Intelligent Process Automation (IPA) leads operational transformation, revolutionizing businesses by automating mundane tasks. With generative AI taking centerstage, the scope and capabilities of automation have expanded significantly. Implementing IPA solutions strategically not only streamlines workflows but also frees valuable human resources, allowing organizations to focus on innovation and core objectives. Buyers across various sectors are swiftly adopting IPA to drive digital transformation initiatives. Meanwhile, solution providers are actively innovating and tailoring IPA solutions to meet specific organizational needs, empowering businesses to achieve greater agility and scalability in their operations. In this report, we provide an in-depth analysis of the IPA market for both buyers and solution providers. It covers IPA solution and service capabilities, the provider landscape, adoption trends, challenges, best practices, and the outlook for 2024-25. Scope All industries and geographies IPA solutions: sourcing IPA technology products, along with consulting, implementation, and maintenance services, but excluding traditional BPO services IPA services only: sourcing IPA services such as consulting, implementation, and maintenance Contents In this report, we examine: IPA market overview and its future outlook Adoption trends by industry, business function, geography, and buyer size IPA solution and service characteristics The IPA solution provider landscape Challenges and best practices Membership(s) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Post-COVID-19, Talent Acquisition (TA) has become a top enterprise priority, amid disruptions from economic, technical, and demographic perspectives. Gen AI has emerged as a vital focus area, prompting thorough investigation from enterprises and providers. In this report, we explore the transformative potential of gen AI within the TA value chain, illustrating how enterprises are progressing from pilot projects to full-scale deployments. The report examines gen AI use cases across various segments of TA, including candidate attraction and engagement, sourcing and screening, TA admin, and vendor sourcing and management. Each section offers detailed insights into potential gen AI use cases, their impact, and key technologies being leveraged by providers to make significant strides in this domain. The report will empower recruitment professionals to bolster their service delivery and client and candidate experience. Scope All industries and geographies Service: recruitment, contingent workforce management, and contingent staffing Contents In this report, we examine: TA services’ overview, value chain, key business issues, and challenges Gen AI’s impact in addressing TA challenges Market maturity for gen AI adoption High adoption use cases for gen AI in TA based on the study Membership(s) Service Optimization Technologies (SOT) Artificial Intelligence (AI) Sourcing and Vendor Management

Gen AI has revolutionized the marketing landscape, reshaping content creation and customer interactions. It holds immense potential to improve content generation, enhance customer engagement, increase conversion rates, and optimize marketing budget allocation. Enterprises can stay competitive in the ever-evolving digital realm by using gen AI to meet growing demands for personalized consumer experiences. In this report, we explore gen AI use cases across various segments of marketing services, including customer interactions, content creation, campaign management, marketing support, media channels, data analytics, and reporting. Each section offers detailed insights into specific gen AI use cases, their impact, and identifies the providers contributing to movement toward production. By exploring real-world case studies and highlighting pilot to production stages, this report serves as a strategic guide for marketing professionals seeking to leverage gen AI within different pillars of the marketing services value chain. Scope All industries and geographies Service: Marketing Contents In this report, we examine: Marketing services’ overview, value chain, key business issues, and challenges Gen AI’s impact in addressing marketing challenges Market maturity for gen AI adoption High adoption use cases for gen AI in marketing based on the study Membership(s) Service Optimization Technologies (SOT) Marketing and Interactive Experience Artificial Intelligence (AI) Sourcing and Vendor Management