MongoDB (MDB) Investor Day 2025 summary

Strategic vision and market opportunity

• Targeting a massive, fast-growing database market, estimated at over $100 billion and projected to reach $150B by 2028, with significant room for expansion.

• AI is a major tailwind, expanding the software universe, driving new use cases, and increasing demand for flexible, scalable databases.

• The shift from legacy relational databases to modern, scalable solutions is accelerating due to technical debt and the need to AI-enable proprietary data.

• The document model, built on JSON, is positioned as the ideal foundation for AI and agentic applications, offering flexibility, scalability, and seamless AI integration.

• Application Modernization Platform (AMP) leverages AI-powered tools to help customers migrate legacy applications more efficiently.

Product and platform innovation

• MongoDB 8.0 and 8.2 deliver major performance improvements, advanced security features like Queryable Encryption, and enhanced support for time series workloads.

• Native integration of Voyage AI’s embedding and reranking models delivers innovative, cost-effective AI capabilities.

• Search and Vector Search are available across Community, Enterprise, and Atlas, supporting both local and cloud environments.

• The platform supports horizontal scaling, multi-cloud, and on-premise deployments, ensuring flexibility and resilience.

• Continuous capability releases and strong customer adoption reinforce platform differentiation.

AI product strategy and adoption

• AI is driving incremental market growth, with about 30% of Atlas ARR from customers with at least one AI use case.

• MongoDB integrates core AI building blocks—vector search, embeddings, rerankers—natively into its platform.

• The platform supports a wide range of AI use cases, including RAG, semantic search, recommendations, and agent memory.

• Best-in-class Voyage models and public previews for new AI features enhance production AI capabilities.

• Thousands of customers, including leading enterprises and startups, are building AI applications on MongoDB.