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  • NEW
    PEAK Matrix®

    Nov. 08, 2025
    USTAmid rising costs, limited resources, and growing process complexities, enterprises are under pressure to drive greater efficiency while advancing their digital transformation agendas. Traditional siloed automation approaches no longer meet the need for scale, adaptability, and intelligence. As a result, the demand for integrated, future-ready automation platforms has intensified, shifting enterprise focus from point solutions to comprehensive ecosystems. To meet this need, technology providers are converging AI-based automation and rules-based automation into Intelligent Process Automation Platforms (IPAPs). Full Suite IPAPs go a step further by extending IPAPs with process orchestration and intelligence to manage complex end-to-end workflows. These solutions empower businesses to automate both routine and cognitive tasks at scale, enhance decision-making, and align automation efforts with enterprise strategies. This report assesses 26 leading IPAP providers and 15 Full Suite IPAP providers to guide enterprise buyers in selecting the right partners and help providers benchmark their positioning in a highly competitive market.
  • Tech Launch Perspective

    Oct. 28, 2025
    Microsoft maintains a strong enterprise cloud position with integrated offerings across infrastructure, productivity, and business applications. Its latest Marketplace enhancements underscore its strategic focus on unifying buyer and seller experiences while reinforcing its broader enterprise cloud ecosystem. This report examines how Microsoft’s announcements align with enterprise priorities around developer ecosystem integration, Independent Software Vendor (ISV) monetization and scale, and enterprise procurement governance. Key updates in the announcement include a unified storefront with consolidated billing, procurement alignment, and in-product solution discovery; over 3,000 AI apps and agents; private and multiparty offers; and simplified publishing via Partner Center. While there are improvements such as AI-powered solution discovery, deeper integration with procurement workflows, and improved onboarding for ISVs, limitations remain around cross-cloud interoperability, developer monetization models, and AI governance clarity. This report provides Everest Group’s perspective on Microsoft’s launch, highlighting what works, what still needs clarity, and what enterprise stakeholders should consider as they evaluate evolving strategies in a rapidly digitizing procurement environment.
  • Viewpoint

    Oct. 24, 2025
    Enterprises are rapidly exploring agentic AI to create more autonomous, context-aware workflows. While initial efforts have focused on single-agent systems, these often fall short in adaptability, reliability, and scale. Multi-agent systems represent the next frontier, enabling specialized agents to collaborate dynamically across tasks and environments. But unlocking their full potential requires orchestration: the capability to coordinate diverse agents around shared objectives, execution patterns, and governance frameworks. This report provides a strategic overview of why orchestration is essential and how enterprises can architect intelligent, scalable agentic systems. Key focus areas include the layered architecture of multi-agent systems, orchestration strategies based on execution and control models, and the core building blocks – from perception handling and task decomposition to agent discovery and reasoning. It also explores emerging communication protocols such as MCP, A2A, and ACP that enable secure and scalable agent collaboration. Importantly, the report outlines policy enforcement, feedback loop, and governance mechanisms – ensuring enterprise-grade trust and resilience. Readers will gain a roadmap to deploy agentic intelligence that is both adaptable and aligned with business goals.
  • Provider Compendium

    Oct. 15, 2025
    Digital Interaction Intelligence (DII) products are rapidly emerging as a core enabler in enterprise automation and transformation strategies. DII solutions adopt a user-centric lens to analyze digital activity, delivering more granular insights into how work actually gets done across applications and desktops. It is a fact-based, technology-driven approach to understanding user interactions, gaining traction in various industries across geographies. This compendium evaluates 13 leading technology providers that offer DII products capable of operating independently of professional services. Each provider profile includes the company overview, recent deals and announcements, market adoption and client portfolio mix, product overview and partnerships, product features and functionalities, key enhancements, and capabilities. The report will enable buyers to select the best-fit provider for their needs.
  • Tech Launch Perspective

    Sep. 25, 2025
    Zoho’s July 2025 product announcements signal a decisive move toward becoming an AI-first enterprise platform, with a particular focus on agentic AI. This report evaluates how Zoho’s ecosystem, including Zia Agents, Zia Agent Studio, and Zia LLM, addresses key enterprise priorities such as workflow orchestration, data governance, low-code adoption, and personalized engagement. The analysis highlights Zoho’s strong alignment with internal interoperability and privacy-first infrastructure, making it relevant for organizations pursuing embedded automation across business functions. While Zoho delivers a tightly integrated experience within its platform, broader enterprise adoption may be limited by ecosystem depth, scalability challenges, and early-stage multilingual capabilities. Everest Group’s analysis underscores Zoho’s differentiation in end-to-end AI infrastructure while also flagging potential areas for improvement. Enterprises evaluating AI-native platforms will benefit from this review’s insights into usability, extensibility, and real-world readiness of Zoho’s agentic AI offerings.
  • State of the Market

    Sep. 22, 2025
    Process mining software analyzes process-related information from event logs generated by ERP, CRM, and other enterprise systems to offer a fact-based approach to discover, monitor, and optimize as-is processes. It is a data-based approach to process optimization through applications and use cases spanning industries and process areas. Process mining improves operational efficiency, increases customer satisfaction, and enhances employee experience. To support enterprise objectives, providers are upgrading their process mining product capabilities and expanding their features and functionalities. In this report, we analyze process mining software providers, examining market size, adoption trends, buyer insights, solution characteristics, product capabilities and trends, and the provider landscape.
  • Tech Launch Perspective

    Aug. 13, 2025
    AWS is establishing a strong agentic AI foundation with new capabilities designed to help enterprises build, deploy, and manage AI agents. This report examines how AWS’ announcements at AWS Summit New York 2025 align with enterprise priorities around agent lifecycle enablement, multi-agent coordination, and robust governance. AWS is establishing a foundational platform for agentic AI with a modular, secure, and scalable stack. It is making strides to strengthen its position as a horizontal platform player with end-to-end agent lifecycle support. However, the market is in the early stages, and challenges remain around end-to-end agentic orchestration, RoI clarity, and scalable deployment. This report offers Everest Group’s assessment of AWS’ agentic AI product updates announced at AWS Summit New York 2025. Key additions include modular and secure deployment through AgentCore, AI agents and tools in AWS Marketplace, an agentic IDE called Kiro, Nova Act model, and native vector storage through S3 Vectors. However, limitations remain in multi-agent orchestration across platforms, enterprise-led data enablement, and RoI clarity. This report will help enterprises assess whether AWS’ agentic AI approach meets their specific needs and maturity levels.
  • Viewpoint

    Aug. 12, 2025
    Sales is a core growth engine for enterprises, driving revenue generation, customer acquisition, and market expansion. Yet, delivering consistent sales performance is becoming increasingly difficult amid growing deal complexities, evolving buyer expectations, and constrained resources. Sales teams face mounting pressures to hit ambitious targets while navigating fragmented processes and disconnected tools. Traditional automation has optimized specific tasks but falls short in delivering the intelligence, adaptability, and coordination needed for seamless, end-to-end execution. This is where agentic AI comes in, introducing a powerful shift through autonomous, goal-driven agents capable of making contextual decisions, adapting in real time, and orchestrating complex workflows across the sales life cycle. By enabling intelligent execution, agentic AI empowers sales teams to focus on what matters most: building relationships, shaping strategies, and closing deals. This report presents agentic AI as a next-generation solution to long-standing sales bottlenecks. We assess its maturity across the sales value chain and explore its transformative impact in high-value use cases such as lead generation and qualification, proposal development, and pipeline forecasting. In addition to evaluating improvements in KPIs such as sales cycle time, win rates, and cost per acquisition, the study outlines key adoption considerations, governance priorities, and workforce implications. We have also included a case study that highlights the tangible business value of agentic AI through RFP response automation.
  • PEAK Matrix®

    Aug. 04, 2025
    The Digital Interaction Intelligence (DII) market is gaining momentum as enterprises seek granular insights into user behavior and task execution across desktop environments. DII solutions capture metadata, such as keystrokes and clicks, to create digital interaction graphs that help identify automation and process improvement opportunities. Thus, DII tools are emerging as key enablers of operational efficiency, employee experience, and digital transformation. Unlike process mining, which focuses on system-level event logs, DII delivers user-centric views that support faster and more actionable insights. This report presents Everest Group’s assessment of 18 leading DII software products and maps them based on their performance on the Products PEAK Matrix®. It analyzes provider differentiation across vision and strategy, data security, implementation support, and commercial model innovation. The research also explores key market dynamics, including rapid expansion of DII use cases across industries, growing client adoption, and notable advancements by providers. Technology leaders and procurement teams can use this assessment to evaluate stand-alone DII products that are independent of professional services engagements.
  • Tech Launch Perspective

    Aug. 04, 2025
    Salesforce is doubling down on agentic AI with new capabilities to help enterprises operationalize AI agents at scale. This report explores how Salesforce’s Agentforce 3 and related offerings align with enterprise priorities around workflow automation, trust, governance, and data retrieval. Salesforce has made notable strides in enabling multi-agent orchestration, RAG pipelines, and native interoperability, positioning itself as a leader in enterprise-grade AI orchestration. However, the market is in the early stages, and challenges remain around observability, deployment at scale, and system complexity. This report offers Everest Group’s assessment of Salesforce’s agentic AI product updates, highlighting what works and what needs more clarity. Key innovations include agent marketplaces, open protocol support, Model Context Protocol (MCP), and Agent-to-Agent (A2A), and hosted models within trust boundaries, which are important for regulated industries. However, gaps persist in pricing transparency, scalability in multi-region deployments, and detailed security features. This report will help enterprises assess whether Salesforce’s agentic AI approach meets their specific needs and maturity levels.