Datadog (DDOG) investor relations material

Business performance and growth

• Achieved 36% revenue growth, reaching $1.1 billion, with acceleration over five consecutive quarters.

• Growth driven by platform expansion, cross-selling, and increased market share across SMB and enterprise segments globally.

• Non-AI native customers have accelerated adoption, with revenues from this segment rising from high teens to high 20s percent growth.

• Net retention rates remain strong in the low 120s, supported by long-term cohort expansion and product line growth.

• Largest customers, including traditional enterprises, are increasing cloud workloads observed by the platform, contributing to sustained expansion.

AI adoption and product innovation

• Early success with AI native customers, now a smaller but fast-growing share of ARR, signals alignment with technology trends.

• Platform is set up to monitor a wide range of agents, including LLMs and coding agents, with rapid growth in agent monitoring and MCP calls.

• Customers are moving LLM-enabled applications into production, driving demand for monitoring and observability solutions.

• Bits AI product is expanding from reliability investigations to development and security, with pricing evolving from per investigation to token-based.

• R&D investment is shifting toward token-based automation, aiming for increased automation and self-remediation capabilities.

Competitive landscape and strategic positioning

• Platform integrates data and security for mission-critical workloads, offering a competitive advantage over DIY or generic solutions.

• Focus remains on cloud workload security and observability, not on broader security or unrelated software markets.

• Despite competitors expanding platforms, the company’s focus and investment have strengthened its market position.

• Sales capacity has scaled globally in line with revenue, with continued investment in both sales and R&D.

• Monetization is based on workload volume, not seat count, making the business model resilient to shifts in user composition.