Datadog (DDOG) investor relations material

Business performance and growth drivers

• Achieved over 30% revenue growth at $4 billion scale, with acceleration across all business segments, including both AI-native and traditional customers.

• Demand is fueled by ongoing digitalization, cloud migration, and the increasing complexity from AI adoption.

• Market penetration remains early, with only 13.6% share in observability, indicating significant growth potential.

• Expansion in sales capacity and product offerings has driven broader market reach and customer adoption.

• Non-AI customer cohort is accelerating due to modernization and successful go-to-market strategies.

AI and automation trends

• AI is driving rapid growth, with 22 AI-native customers spending over $1 million and five spending over $10 million.

• AI accelerates code generation and complexity, increasing reliance on robust observability and automation tools.

• Training workloads are emerging as a new market, with more companies engaging in post-training and ongoing model improvement.

• Automation is a key focus, with customers seeking more end-to-end and proactive solutions, including auto-resolution of issues.

• The Bits AI SRE tool has seen strong adoption, with 100,000 investigations and 2,000 customers since launch.

Product differentiation and customer value

• Offers fully integrated observability and security across the entire technology stack, from infrastructure to end-user experience.

• Differentiation lies in the ability to deliver comprehensive, scalable solutions that competitors struggle to match.

• Even hyperscalers, despite internal capabilities, are adopting these solutions due to superior economics and time-to-value.

• The Bits AI security assistant and Cloud SIEM product combine advanced data management with AI, resonating strongly with customers.

• Open-weight time series foundation model (Toto) demonstrates state-of-the-art performance and scalability, supporting predictive capabilities.