Elastic (ESTC) Morgan Stanley Technology, Media & Telecom Conference 2026 summary
Event summary combining transcript, slides, and related documents.
Morgan Stanley Technology, Media & Telecom Conference 2026 summary
2 Mar, 2026Business performance and growth trends
Sales-led subscription revenue growth accelerated to 19%, with a record number of million-dollar deals and strong operating income.
Segmentation of sales teams into hunting and farming territories has improved strategic deal signings and business growth.
AI adoption is robust, with nearly a quarter of $100K+ customers using AI, driving a tailwind for revenue.
Self-managed deployments are increasing, especially in regulated industries, government, and Europe, due to data sovereignty and security needs.
Full-year sales-led subscription revenue compounded at or above 20% for four years, with risk-adjusted guidance for Q4 reflecting fewer days in the quarter.
AI strategy and competitive positioning
Platform enables real-time, relevant data context for large language models, supporting AI use cases at scale.
Differentiation comes from advanced features in paid versions, operational scalability, and enforceable licensing.
Defensible moat is the data store and context accuracy, making it unlikely for LLM makers to replicate the platform.
AI workloads are more computationally intensive, increasing platform consumption and revenue uplift, with a 6% average increase among AI users.
AI adoption among $100K+ customers is in the mid-20% range, expected to drive steady revenue growth through 2029.
Product innovation and platform evolution
Platform now includes vector search, Jina embedding and re-ranker models, Agent Builder, workflow, LLM observability, and Elastic Inference Service.
Context engineering is central, providing LLMs with accurate context, memory, retrieval, and deterministic rules for agentic deployments.
Security and search solutions are benefiting from AI, with security leading recent quarters and observability growing at industry pace.
New metrics data store, leveraging vector store technology, is set to launch mid-year to enhance observability competitiveness.
Continuous efficiency improvements in the platform have created headwinds for revenue but are seen as strategic for long-term market share.
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