Spotlight

Report:

The Forrester Wave™: Cognitive Search Platforms, Q4 2025

How does Forrester define the Cognitive Search Platforms market in 2025?

Cognitive search platforms enable enterprises to leverage their knowledge using large language models (LLMs) and retrieval-augmented generation (RAG). The market has experienced renewed interest over the past two years as buyers seek to implement AI capabilities. These platforms will become essential as the 'brains' of accurate agentic AI, requiring vendors to demonstrate not only current functionality but also strategic roadmaps for the emerging agentic AI revolution. Buyers must assess vendor capabilities across enterprise data integration, deployment scalability, and product roadmaps for agentic futures.

Key Facts for The Forrester Wave™: Cognitive Search Platforms, Q4 2025 in 2025

How did the Cognitive Search Platforms market evolve in 2025?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Cognitive Search Platforms space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research evaluates 14 cognitive search platform providers across current offering capabilities, strategic vision, and customer feedback. The evaluation focuses on how these platforms integrate with enterprise data infrastructure, scale for cognitive search deployments, and support the emerging agentic AI future. It includes detailed scorecards for each vendor showing their strengths and weaknesses across data connectors, search methods, query capabilities, intent understanding, relevancy, results delivery, analytics, scale, security, and strategic elements like vision, innovation, roadmap, partner ecosystem, and pricing.

Q: Who should use this research?

A: This research should be used by cognitive search platform customers making purchase decisions who need to evaluate vendors based on: 1) Integration capabilities with enterprise data infrastructure and the breadth/depth of data connectors needed; 2) Ability to deploy cognitive search at enterprise scale with proper security, privileged access management, and understanding of costs and limitations; 3) Product roadmaps addressing the emerging agentic AI future, as cognitive search and knowledge retrieval form the basis of most agentic applications. Buyers should use the interactive provider comparison experience to adapt findings based on their specific priorities.

Q: What are the mandatory features of vendors included in this market?

A: Vendors must natively provide all core cognitive search functions and have a demonstrated track record for supporting large enterprises. The solution must be available as a standalone product with its own SKU and pricing (not just a free feature). Vendors must have at least $10 million in annual revenue from cognitive search platforms in the last four quarters and substantial mindshare among Forrester's enterprise clients, with frequent mentions by other vendors as competitors.

Q: What are some reasons for not being included in this report?

A:

  • Less than $10 million in annual revenue from cognitive search platforms
  • Solution not available as standalone product with separate SKU and pricing
  • Lack of broad, enterprise-level support capabilities
  • No demonstrated track record supporting large enterprises
  • Insufficient mindshare among Forrester's enterprise clients
  • Not frequently mentioned by other vendors as a competitor in the market

Q: What should buyers consider when evaluating products in this market?

A:

  • Integration of search with enterprise data infrastructure - breadth and depth of data connectors and customization requirements
  • Deployment at scale for cognitive search - capabilities for complex vector retrieval, security, privileged access management, and cost limitations
  • Product roadmap for agentic future - vendor's strategy for addressing emerging agentic AI capabilities and enterprise readiness

Q: How has the Cognitive Search Platforms market evolved in 2025?

A:

  • Rising adoption of large language models (LLMs) and retrieval-augmented generation (RAG)
  • Shift from search-only to action-taking agentic AI applications
  • Evolution toward agentic AI revolution requiring search platforms as foundational infrastructure
  • Increased need for bidirectional data connectors (read and write capabilities)
  • Growing importance of complex vector retrieval scenarios at enterprise scale
  • Integration of search with broader enterprise agentic platforms and workflows

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Strength of Offering (vertical axis) measures current technical capabilities and features available today, including data connectivity, search methods, relevancy, scalability, and platform security. Strength of Strategy (horizontal axis) evaluates future positioning through vision, innovation investment, product roadmap, partner ecosystem, market adoption, and pricing approach. Offering focuses on 'what exists now' while Strategy focuses on 'where the vendor is headed' for agentic AI future.

Reference

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