IDC's Knowledge Discovery program analyzes the technological capabilities, market trends, and buyer needs surrounding the evolution of search into knowledge discovery. Knowledge discovery systems use technologies such as ontologies and taxonomies; semantic knowledge graphs; keyword, vector, and hybrid search; and AI, including LLMs, to analyze various structured and unstructured forms of data. Increasingly, these systems can analyze such data from across different repositories and proactively surface contextualized insights, products, and other recommendations.
Knowledge Discovery
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Meet the Experts
Photo of Hayley Sutherland
Hayley Sutherland
Research Manager, Conversational AI & Intelligent Knowledge Discovery
Markets and Subjects Analyzed
Knowledge discovery software (KDS) refers to software product/services that are used to develop solutions that find and provide answers, entities (people, places, things), and/or information and knowledge. This program covers the following topics:
- Knowledge discovery and search systems and use cases, including departmental, enterprise, and task-based search systems; general-purpose question answering and conversational search systems; expert identification, public-facing site search, and ecommerce-based/product search and recommendations; and unified information access systems that combine text analytics, clustering, categorization, and search
- Underlying capabilities and technologies such as semantic knowledge graphs, vector search, knowledge mining, ML- and NLP-based clustering and categorization, and other forms of semantic analysis and information visualization that help organizations to glean insights from unstructured data
- The evolution of GenAI and the key role that search and knowledge discovery technologies play in enabling the use of LLMs with organizational, customer, and third-party data via retrieval-augmented generation (RAG), as well as the impact of GenAI on the KDS competitive landscape
- Knowledge-as-a-service platforms focused on areas such as situational intelligence, competitive intelligence, and market intelligence
- AI technologies and techniques for constructing taxonomies/ontologies, knowledge bases, and enterprise knowledge graphs for use cases including enterprise/site/product search, general-purpose question answering, and conversational search
Core Research
- Market Share: Knowledge Discovery Software
- Market Forecast: Knowledge Discovery Software
- Market Analysis Perspective: Knowledge Discovery Software
- IDC MarketScape: Knowledge Discovery Software
- Buyer Survey: Knowledge Discovery Software
In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.
Key Questions Answered
- How are GenAI and RAG transforming the search and knowledge discovery landscape?
- What are the trends, opportunities, and market size for knowledge discovery software?
- How will knowledge discovery augment and enrich knowledge work, and how can that value best be measured and communicated?
- How are vendor offerings in the knowledge discovery market differentiated?
- What challenges do businesses face in building and adopting knowledge discovery solutions?
Companies Covered
- Algolia Inc.
- AlphaSense, Inc.
- Bloomreach, Inc.
- Cambridge Semantics Inc.
- Constructor.io Corporation
- Coveo Solutions Inc.
- Crayon Inc.
- EPAM Systems Inc.
- Elastic NV
- Funnelback Pty Ltd
- Glean Technologies, Inc.
- Google LLC
- IBM
- Inbenta Technologies Inc.
- IntraFind Software AG
- LucidWorks Inc.
- Lucy
- Microsoft Corporation
- Mindbreeze Software GmbH
- Northern Light Group LLC
- Primer Technologies, Inc.
- SearchBlox Software Inc.
- SearchSpring
- SearchUnify
- Semantic Web Company GmbH
- Sinequa SAS
- Smartlogic Semaphore Ltd.
- Squirro AG
- Starmind International AG
- Yext Inc.
- Zoovu Group