Datadog Inc. saw its shares jump more than 30% after reporting first-quarter results that significantly outperformed Wall Street estimates. The application monitoring software company not only delivered higher-than-expected earnings and revenue but also raised its full-year guidance, fueling investor confidence in its growth trajectory.
The company posted earnings of 60 cents per share before stock-based compensation, topping analyst expectations of 51 cents. Revenue increased 32% year-over-year to hit $1 billion, well above the forecasted $931.8 million. Net income more than doubled from the previous year, reaching $52.6 million compared to $24.6 million, underlining robust operational performance.
Looking ahead, Datadog lifted its profit forecast to a range of $2.36 to $2.44 per share, up from a prior estimate between $2.08 and $2.16. It also increased its revenue outlook to $4.3 billion–$4.34 billion, surpassing the earlier guidance of $4.06 billion to $4.1 billion. For the current quarter, the company anticipates earnings of 57 to 59 cents per share on $1.07 billion to $1.08 billion in revenue, well above Wall Street’s estimates of 50 cents and $994.4 million, respectively.
Datadog’s rally helped lift the broader software sector, with shares of Snowflake Inc. and MongoDB Inc. both rising over 10%, while Dynatrace Inc. and Elastic N.V. gained around 5%. The surge marks a turning point, as Datadog’s stock had been relatively flat through the early months of the year but has now climbed more than 38% year-to-date.
Central to Datadog’s growth is its focus on the evolving AI market. The company provides monitoring tools designed to oversee complex infrastructure underlying AI models and chips. These AI systems handle massive data volumes for training and inference, making them susceptible to operational issues that require advanced observability. Datadog’s platform offers clients real-time visibility into cloud usage, application performance, server health, and network security threats.
With the rise of autonomous AI agents, Datadog is expanding its capabilities to track these systems continuously, reflecting the growing need for specialized software to manage AI-driven environments. Its client base includes prominent players such as OpenAI Group PBC and Amazon Web Services Inc., demonstrating strong ties to the AI ecosystem.
Datadog’s CEO emphasized that digital transformation and cloud migration remain fundamental growth drivers, positioning the company as a critical vendor in an industry increasingly shaped by artificial intelligence innovations.