Modern enterprises face growing challenges in accessing and managing information distributed across structured and unstructured systems, cloud platforms, collaboration tools, and enterprise applications. As enterprise data volumes expand and demand rises for faster, AI-driven decision-making, traditional keyword-based search approaches are proving inadequate for delivering accurate, contextual, and secure information access. At the same time, enterprise search is emerging as a foundational capability for enabling unified knowledge discovery, improving productivity, and supporting enterprise-wide AI initiatives.
Modern enterprise search platforms are evolving into AI-native, context-aware systems that combine semantic and hybrid search, generative AI, knowledge graphs, and Retrieval-augmented Generation (RAG) to deliver personalized, grounded, and actionable insights. These platforms increasingly support conversational search, multi-modal retrieval, and agentic workflows while embedding governance, security, and permissions-aware access to ensure trusted enterprise-wide adoption. Although capabilities such as autonomous retrieval and AI-driven reasoning are rapidly maturing, enterprises still require strong governance and operational oversight to maximize value and reduce risks associated with hallucinations and sensitive data exposure.
In this report, Everest Group evaluates 16 leading enterprise search technology providers and positions them on the Enterprise Search Products PEAK Matrix® based on market impact, vision, and capability. The assessment provides a detailed perspective on provider strengths and limitations, helping enterprises navigate the evolving enterprise search landscape and identify platforms aligned with AI maturity, governance priorities, and knowledge management objectives.
