Algolia named an IDC Leader for AI search and discovery
Algolia has been named a Leader in IDC's latest assessment of general-purpose knowledge discovery software and has entered the global top tier for market share in search and knowledge discovery tools.
The company features as a Leader in the IDC MarketScape: Worldwide General-Purpose Knowledge Discovery Software 2025 Vendor Assessment. IDC also ranks Algolia fifth worldwide for 2024 market share in search and knowledge discovery software, with the fastest growth among independent vendors.
The recognition comes as organisations increase investment in AI-enabled search and knowledge discovery across content, commerce and internal systems. IDC reports that the broader market expanded 28.9% year on year in 2024.
According to IDC's market share figures, Algolia captured 4.2% of global revenue in the segment. The vendor posted 38.5% year-on-year growth in 2024, which exceeded overall market growth by nearly ten percentage points.
IDC links the trend to a wider shift in AI adoption in business. The firm tracks knowledge discovery as a core element in AI workflows and data strategies.
Amy Machado, Senior Research Manager for Content and Knowledge Discovery Strategies at IDC, said the ability to locate and connect information sits at the centre of many AI deployments.
"Search and knowledge discovery is the catalyst for AI innovation. The ability to find and connect the right information at the right time is the driving force behind modern AI-powered workflows and experiences," said Machado.
The IDC MarketScape report describes how customers are using Algolia's software in a range of applications from discovery interfaces to operational processes. It gives the example of "buy online, pick up in-store" retail flows that link product search with order fulfilment.
"Algolia users can tailor their applications, from simple discovery to integrated operational workflows (i.e., the "buy online, pick up in-store" functionality). Algolia customers tell IDC that they appreciate the user experience and the flexibility to build solutions specific to their needs and goals without extensive development work," the report states.
Algolia positions itself as an AI retrieval platform. The company says it serves more than 18,000 businesses and handles over 1.75 trillion searches a year for developers and organisations.
Its product stack combines keyword retrieval, vector-based search and hybrid techniques. The platform also includes rules, personalisation tools and analytics features.
Algolia links this approach to a set of emerging use cases. These include Retrieval-Augmented Generation, where search indexes supply background material to large language models, and MCP-based agent ecosystems that rely on fast and explainable retrieval of information.
The company also highlights governance and transparency as part of its pitch to enterprises that want closer control over search behaviour and AI-driven results. It points to demand in regions such as EMEA and Asia-Pacific and Japan, where IDC forecasts compound annual growth rates above 31% for search and knowledge discovery software.
IDC views search technology as a mechanism that can turn fragmented information into an integrated organisational asset. This view aligns with a wider industry focus on connecting unstructured content, commerce catalogues and internal documentation for AI applications.
Laura Hamilton, Senior Vice President, Marketing at Algolia, said the IDC assessments reflect the company's efforts around AI-based discovery tools.
"We're proud to be recognized as a Leader in this year's IDC MarketScape. Paired with our strong year-over-year performance in the latest IDC Market Share report for the search and discovery category, we believe this acknowledgment underscores the work we've done to help enterprises build the AI foundations needed for modern discovery experiences across their business," said Hamilton.
Hamilton said customers are testing a range of new architectures. These span MCP servers for agent-to-agent communication, AI search that retrieves knowledge in milliseconds, and generative AI shopping interfaces running on top of search infrastructure.
"Whether it's adopting an MCP Server for agent-to-agent communication, deploying AI search that retrieves knowledge in milliseconds, or launching generative AI shopping experiences, we're pushing the boundaries of what discovery can do. Retrieval at scale has become mission-critical for how organizations operate, and our sustained growth reflects the trust customers place in Algolia to power the next generation of intelligent interactions," said Hamilton.
Algolia says it will continue to target use cases that link AI agents, retrieval systems and knowledge discovery as organisations plan projects into 2026.
