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  • NEW
    Webinar

    July 16, 2025
    Agentic AI is fast becoming the most talked-about breakthrough in enterprise technology, promising transformative outcomes across cost, efficiency, and revenue generation. Yet as organizations explore its potential, they also face rising uncertainty around trust, data governance, ROI, and a rapidly evolving vendor ecosystem. Watch Everest Group experts Chirajeet Sengupta and Anil Vijayan as they unpack the current state of agentic AI adoption, the pressing considerations for enterprises, and what the road ahead may look like. This session offered insights into where agentic AI is delivering value, how leaders are managing key risks, and what changes we can expect in the next 2–5 years. Whether you’re an enterprise executive or a technology provider, this is your chance to separate signal from noise and understand the trajectory of this powerful innovation.
  • NEW
    Thematic Report

    July 14, 2025
    Agentic AI is an evolved form of artificial intelligence that enables autonomous agents to set goals, make decisions, and take adaptive actions independently. These agents can decompose complex workflows into manageable subtasks, align their actions with defined objectives, and execute processes with minimal human oversight. By combining real-time reasoning, contextual memory, and the ability to interact with diverse enterprise systems, agentic AI allows for truly end-to-end, goal-driven automation. This new paradigm surpasses the capabilities of traditional intelligent automation and generative AI by enabling autonomous, context-aware systems that have the potential to make processes more time-efficient and less dependent on humans. As a result, agentic AI is rapidly gaining traction across industries and business functions. In this report, we examine the global agentic AI market, including the evolution of agentic automation, market characteristics, and the adoption landscape segmented by geography, industry, buyer size, and business process. We evaluate key solution characteristics such as training and support, partner ecosystems, deployment models, and commercial models. Additionally, we analyze the competitive landscape along with exploring emerging technology trends shaping the agentic ecosystem, such as large action models, model context protocol, agent-to-agent communication, and neuro-symbolic programming.
  • State of the Market

    June 27, 2025
    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.
  • PEAK Matrix®

    June 16, 2025
    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
  • Viewpoint

    June 04, 2025
    Organizations must remain agile and efficient amid changing customer expectations, technology advances, and workforce dynamics. To gain a competitive edge, they are accelerating digital transformation initiatives by adopting digital enablers and automation. However, many continue to face challenges such as limited process visibility, documentation, and optimization – hindering their ability to identify bottlenecks, reduce manual errors, and make strategic decisions effectively. That is where Digital Interaction Intelligence (DII) comes in. DII provides a fact-based approach to discovering as-is processes, capturing user interactions, classifying tasks into processes without manual intervention, aggregating data and its business context across users and desktops, generating digital interaction graphs, and deriving relevant business insights for continuous process improvements. In this Viewpoint, we help enterprises build a compelling business case for adopting DII, ensuring successful outcomes and transformative results. Scope All industries and geographies Contents In this report, we examine DII, including its definition, architecture, applications, and business case.
  • Provider Compendium

    May 29, 2025
    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
  • Viewpoint

    May 28, 2025
    AI, including generative AI, has moved beyond being an emerging technology confined to experimentation to being integral to enterprise strategies. Across industries, organizations are experiencing measurable gains from pilot projects in areas such as productivity improvement. The next logical step is to scale these initiatives from pilot stages to full-scale production to unlock their transformative potential. However, transitioning from pilot to production is a complex journey that demands addressing various challenges and adopting success factors. Enterprises must tackle essential aspects such as defining an enterprise-wide AI strategy, prioritizing AI use cases, establishing an effective AI operating model, ensuring data readiness, building AI talent, implementing a scalable AI technology stack, and integrating responsible AI practices. Success in scaling AI depends on clearly understanding these factors, avoiding common pitfalls, and adopting best practices. Scope All industries and geographies Contents In this report, we delve into the essential aspects of scaling AI, providing insights into: AI and generative AI’s strategic importance Key business drivers behind AI adoption The current state of AI and generative AI adoption The success factors to scale AI from pilot to production Common pitfalls to avoid while scaling AI initiatives Future trends and outlook in AI
  • Tech Launch Perspective

    May 26, 2025
    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
  • FEATURED
    Innovation Watch

    May 12, 2025
    Organizations are rapidly embracing agentic AI to enhance operational efficiency, lower costs, and respond more effectively to evolving business challenges. It started with basic tools, such as RPA, that handled simple, repetitive tasks. Over time, it became more advanced systems using AI technologies, such as ML and Natural Language Processing (NLP), to manage more complex work. The next key update in this journey is agentic AI, which embeds autonomy, adaptability, and decision-making into systems. These capabilities enable systems to act independently, respond to dynamic conditions in real time, and significantly reduce the need for human oversight, thereby streamlining operations, accelerating decision-making, and offering a competitive edge in a rapidly changing market. In this report, we evaluate 24 agentic AI technology providers offering prebuilt agents and agent builders. The report classifies them as Luminaries, Fast Followers, Influencers, or Seekers based on the Everest Group’s Innovation Watch Assessment. It explores agentic AI use case prioritization by evaluating industries and business functions that stand to benefit most from its adoption. The research also delves into agentic AI’s impact on addressing key business challenges, driving automation, improving decision-making, and enhancing operational efficiency. Scope All industries and geographies This report is based on Everest Group’s interactions with leading agentic AI technology providers and the agentic AI technology’s ongoing analysis Contents In this report, we Position 24 agentic AI technology providers on the Everest Group’s Innovation Watch Assessment framework Assess 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
  • Provider Compendium

    April 30, 2025
    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