Datadog (DDOG) investor relations material

Business performance and growth drivers

• Revenue reached $3.4 billion with 28% growth and 22% operating margins, serving over 32,000 customers.

• Growth re-accelerated due to increased cloud migration, product expansion, market share gains, and enhanced go-to-market execution.

• Larger enterprise deals and broader product adoption are driving higher deal sizes and faster expansion.

• About half of customers use all three core product pillars, with consolidation leading to increased customer spend.

• Guidance for 2026 targets 19% revenue growth, with the business excluding the largest customer expected to grow over 20%.

Product strategy and innovation

• Platform evolved from observability to include security, product analytics, service management, and AI-driven recommendations.

• AI is embedded in both the platform and monitoring, aiming to move from observability to actionable insights.

• Significant investment in R&D and proprietary AI models leverages unique datasets for competitive advantage.

• New products like Bits AI SRE agents and LLM Observability are gaining traction, with over 1,000 customers using Bits AI.

• GPU monitoring is in preview, targeting enterprises integrating AI models into production.

Market positioning and competitive landscape

• Strong presence among AI-native companies, with 70% of the top 20 as customers and 19 spending over $1 million annually.

• Customers prefer the platform over building in-house solutions due to efficiency, ROI, and breadth of features.

• Platform scale, integration, and speed of innovation make replication by competitors difficult.

• Security business is expanding, with 70% of $1M+ customers using security products and a new specialist sales force being deployed.

• Consolidation in the market favors broad platforms over point solutions, with integration and data depth as key differentiators.