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  • Nov. 12, 2025
    As enterprises navigate macroeconomic uncertainties, rapid technological advances, and growing business agility demands, the need for a unified backbone to connect end-to-end processes has never been greater. Process orchestration fundamentally enables this shift, helping organizations manage complex workflows that span human workers, digital workers, AI agents, and enterprise systems. Its importance is growing as enterprises look to scale automation, embed intelligence, and enhance governance across their operations. This report provides an in-depth analysis of the evolving process orchestration landscape, highlighting emerging trends such as the shift toward agentic orchestration and the growing demand for AI-augmented, scalable orchestration solutions. It explores how providers are differentiating through capabilities such as hybrid workforce management, intuitive design studios, and embedded analytics that drive smarter and more adaptive automation. The assessment delivers actionable insights into buyer priorities, sourcing considerations, and provider capabilities to support informed decision-making. In this edition, 28 process orchestration providers are evaluated based on their market impact, vision, and delivery capabilities to identify Leaders, Major Contenders, and Aspirants in this rapidly evolving market.
  • Nov. 11, 2025
    Everest Group defines Digital Interaction Intelligence (DII) as an analytics product that offers a fact-based, technology-driven approach to understanding user interactions on various applications, particularly business applications. It captures user actions and metadata from multiple desktops to reconstruct and analyze processes. This enables a data-based approach to process optimization through different applications and use cases spanning industries and process areas. The report outlines key market trends, growth projections, provider capabilities, and the evolving integration of generative and agentic AI. It provides guidance for procurement and digital transformation leaders evaluating DII technologies to enhance efficiency, employee experiences, and returns on investment.
  • Nov. 08, 2025
    Amid 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.
  • Oct. 27, 2025
    As AI becomes central to enterprise strategy, a striking reality is emerging: most organizations are limited not by their AI investments, but by their data foundation strengths. Fragmented systems, inconsistent governance, and siloed ownership continue to undermine AI success, leaving only a small fraction of enterprises truly ready to scale. This Viewpoint unpacks what it means to be data ready in the AI-first world. Drawing on a survey of 123 enterprises and in-depth data and AI leader interviews, it explores how trusted, high-quality, and well-governed data has become the defining factor separating AI ambitions from enterprise-wide adoption. The report introduces Everest Group’s seven pillars of data readiness spanning strategy, quality, accessibility, governance, foundation, culture, and data products and provides a practical framework to operationalize these capabilities across technology, talent, and governance dimensions. It also identifies the most common execution pitfalls and emerging risks that enterprises must navigate as AI adoption accelerates. By combining market data, best practices, and enterprise case study-based insights, the report offers business and technology leaders a clear roadmap to close the readiness gap and build resilient data
  • 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.
  • Sep. 30, 2025
    Agentic process automation represents a shift from deterministic, rule-based workflows to dynamic, context-aware systems powered by AI agents capable of making autonomous decisions. This report examines the foundational concepts and technologies behind agentic automation, including large language and action models, levels of agency, memory architecture, orchestration layers, and observability. It highlights the opportunities and challenges enterprises face as they embed agentic AI into business processes, with guidance on strategy, design, implementation, and organizational change. The report provides frameworks for enterprise readiness assessment, cost-benefit analysis, and use-case prioritization, as well as practical tools to select foundation models and platforms and identify agent suitability. It also explores supporting enablers such as talent strategy, CoE evolution, tool selection, governance, and risk management, along with best practices tailored to the unique demands of agentic automation. Through real-world examples and a structured adoption roadmap, it offers enterprises a clear path to building resilient, scalable, and future-ready automation capabilities. This report is designed for enterprise executives, automation leaders, digital transformation stakeholders, and technology providers seeking to understand and operationalize the potential of agentic automation.
  • Sep. 25, 2025
    Enterprises are reaching traditional automation tools’ limits, which struggle with complexity, variability, and real-time decision-making. Agentic Process Automation (APA) presents a new operational paradigm. One that replaces rigid, step-based execution with adaptive, autonomous workflows. APA integrates AI agents, data layers, process intelligence, analytics, and intelligent automation technologies to coordinate tasks, interpret context, and execute decisions with minimal human intervention. This Viewpoint analyzes APA adoption drivers, the shift from rule-based automation to autonomy, and the significant performance benefits realized when APA is strategically deployed. The report provides a roadmap for enterprises to evaluate readiness, prioritize high-impact use cases, and scale APA responsibly. It offers key frameworks for governance and observability and outlines how APA can enable long-term transformation. As enterprise adoption accelerates, leaders who act now will shape how quickly their organizations gain resilience and competitive advantage.
  • 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.
  • 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.
  • Aug. 01, 2025
    Process mining drives operational excellence and facilitates enterprises’ digital transformation initiatives. By analyzing event logs from enterprise systems such as ERP and CRM, it offers a fact-based approach to discover, monitor, and optimize as-is processes. The global process mining market is growing, with diverse applications across business functions and industries. Process mining can enhance operational efficiencies, ensure process governance and compliance, and elevate customer experiences. To support enterprise objectives, providers are launching process mining products with advanced and innovative capabilities. Choosing the right one is essential to realizing full value. This compendium provides accurate, comprehensive, and fact-based snapshots of 23 process mining technology providers’ offerings and capabilities. Each provider profile includes an overview of the company, recent deals and announcements, market presence, client portfolio mix, partnerships, features, and enhancements. The report will enable buyers to select the best-fit provider for their unique needs.