Key Highlights

  • Datadog surpassed $1 billion in quarterly Revenue in the first quarter of 2026, with growth of around 32%.
  • Demand tied to artificial-intelligence workloads contributed to the growth, prompting raised guidance.
  • Its usage-based revenue model means income rises and falls directly with how much customers monitor their cloud systems.
  • AI creates a double opportunity, since AI systems themselves need monitoring, and Datadog is building tools specifically for that purpose.

As companies move their operations to the cloud and build ever more complex software, they need tools to see what is happening inside their sprawling systems. Datadog (NASDAQ:DDOG) provides exactly that, and the rise of artificial intelligence is making those systems more complicated still, connecting cloud complexity directly to a Nasdaq 100 growth opportunity.

What Datadog Does

Datadog makes software that monitors the health and performance of applications and the cloud infrastructure they run on, a field known as observability. It sits in the technology sector. Its platform gathers data from across a company's systems, alerting engineers to problems, helping them diagnose faults and showing how their software is behaving. As applications become more distributed and complex, the need for this kind of visibility grows, and Datadog sells a widening range of monitoring and security products.

AI Adds to the Workload

Datadog has been growing quickly. In the first quarter of 2026 it surpassed one billion US dollars in quarterly revenue, with growth of around 32 per cent, driven partly by Demand tied to artificial-intelligence workloads, and it raised its guidance. AI is a double opportunity for Datadog: the systems that train and run AI models are themselves complex and need monitoring, and Datadog is building new tools specifically to observe AI applications. This means the same trend that is driving spending across technology is also increasing the complexity that Datadog's products are designed to manage, creating fresh demand for its services.

Why it Matters for the Nasdaq 100

Datadog offers the index exposure to the growth of Cloud Computing and to the infrastructure supporting AI. Its results reveal how much companies are spending on cloud software and how the rise of AI is increasing that spending. As a fast-growing member of the benchmark, its performance also colours sentiment towards the broader group of high-growth software names, and its usage-based revenue makes it a useful barometer of overall cloud activity.

A Usage-based Barometer

Datadog's Business model deserves particular attention, because it makes the company an unusually direct gauge of cloud activity. Much of its revenue is usage-based, meaning customers pay according to how much they monitor, so when their cloud usage grows, Datadog's revenue grows with it. This links Datadog's fortunes closely to the overall expansion of cloud computing and, increasingly, AI workloads, making its results a useful read on how intensively companies are using the cloud. The same model cuts both ways, however: if customers try to control costs by monitoring less, or if cloud usage slows, Datadog's growth can cool quickly. That sensitivity is why investors watch its net revenue retention, a measure of how much existing customers increase their spending, so closely.

The Risks to Weigh

Datadog's valuation is high, leaving little room for disappointment, and its usage-based model makes it sensitive to customers optimising their spending. Competition is intense, from large cloud providers offering their own monitoring tools and from other independent software firms. Economic weakness could slow cloud spending. Growth naturally becomes harder to sustain as the company gets larger, and any slowdown in net revenue retention tends to weigh on the shares.

A Business That Grows with the Cloud Itself

Readers should track revenue growth and net revenue retention, the clearest signs of demand and of customers expanding their usage. The adoption of newer products, including AI-focused and security tools, reveals whether Datadog can keep broadening. Commentary on cloud-spending trends indicates the health of the wider market. Margins and free Cash Flow show the quality of growth. Finally, watch how AI workloads affect demand, because the complexity created by artificial intelligence is both Datadog's biggest opportunity and a key driver of the spending its investors are counting on. How customers manage their observability budgets is worth watching, since cost-conscious behaviour can slow a usage-based business.