MongoDB (MDB) Investor presentation summary

Market opportunity and platform differentiation

• Addressing a data management software market projected to exceed $150B by 2028, with durable differentiation in a non-winner-take-all landscape.

• Platform supports structured, unstructured, and interdependent data, unifying metadata, embeddings, and real-time operational data.

• Flexible document model and native JSON support position the platform as ideal for AI and modern app development.

• Competitive advantages include native queryable encryption, multi-cloud deployment, and horizontal scaling.

• Proven adoption across diverse industries, including technology, healthcare, finance, and manufacturing.

AI-driven growth and innovation

• AI is expanding the addressable market and driving new use cases, with JSON as the core data format for AI applications.

• Platform natively integrates AI building blocks, including vector search, embeddings, and advanced retrieval.

• Approximately 30% of Atlas ARR is now attributable to customers with at least one AI use case.

• Case study: ElevenLabs leverages Atlas for AI-native enterprise agents, supporting rapid ARR and valuation growth.

• Extensive AI ecosystem integrations and recent product advances, such as hybrid search and auto-embedding.

Financial performance and momentum

• Atlas revenue has nearly tripled from FY22 to FY26, driving overall strong revenue growth.

• Durable growth in Enterprise Advanced and Other subscriptions, with strategic advantage in regulated and hybrid environments.

• Continued expansion in high-value customers, with significant increases in customers generating over $100K and $1M ARR.

• Gross profit growth provides flexibility for investment and margin expansion.

• Strong operating cash flow and cash conversion, with FY26 conversion above 100%.