The search multiplier: Driving revenue, productivity, and AI at scale

Elastic cites an IDC-commissioned study of 11 large enterprises in financial services, healthcare, retail, and government that used the Elasticsearch Platform as a foundation for AI-powered search and generative AI applications. The study’s participants, which averaged 36,521 employees, $15 billion in annual revenue, and 56 AI-related use cases in production, reportedly achieved a three-year discounted benefit of $31.2 million against $5.06 million in costs, equating to a 517% return on investment and an 11-month payback period. Reported outcomes included $13.4 million in annual organizational benefits, a 40% reduction in time to minimum viable AI products, 35% faster product updates, 44% better search relevance, 27% higher development productivity, and 150 employee hours saved annually through improved internal search. Elastic attributes these results to an integrated stack combining keyword, semantic, vector, and hybrid search with context-layer and retrieval-augmented generation capabilities, supporting uses such as sales-content retrieval, customer-service chatbots, fraud detection, underwriting support, and agentic workflows.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.