The 2026 Open Data Infrastructure Report highlights that the rapid scaling of generative AI and LLM-powered applications has made data retrieval and observability platforms a strategic bottleneck. As companies integrate AI into core operations, 71% of surveyed leaders identified vendor independence as a primary requirement to avoid long-term lock-in and ensure interoperability across evolving cloud ecosystems.

OpenSearch has emerged as a significant beneficiary of this shift. Awareness of the project climbed to 89% in 2026, with 77% of organizations now viewing it as a core or supporting component of their AI infrastructure. The platform’s adoption is fueled by a demand for unified systems that can handle both keyword and semantic search, with 68% of organizations utilizing hybrid search to maintain AI relevance. Beyond mere search capabilities, firms are consolidating their toolsets to improve cost efficiency, with 80% of respondents expressing a willingness to move to fewer, more versatile platforms that provide both data grounding and production-grade observability.