
Scan how other AI focused infrastructure plays are reacting to similar demand trends by running through the hand picked 55 AI infrastructure stocks in parallel with your Datadog thesis.
To own Datadog, you need to believe it can convert growing AI and security usage into broader product adoption across its customer base, while keeping revenue concentration from large accounts under control. The near-term swing factor is execution around AI workloads and multiproduct expansion, set against management’s own signal of more modest usage from a key customer.
The recent attention from BofA and Oppenheimer reinforces that investors are watching the same fault lines. The next earnings report remains the main catalyst because it updates how usage trends, security traction and that large customer optimization are flowing into reported revenue, margins and guidance, where expectation risk is still elevated.
The Oppenheimer call ahead of the 4 November earnings update is the most relevant event here. It sharpens focus on whether Datadog’s AI and security demand can offset usage reductions at its largest client and any caution in guidance, which previously affected the share price when Q3 and 2026 revenue outlooks came in below buyside expectations.
For you, the useful takeaway is not the target itself but the spotlight it puts on execution. Stronger evidence that AI workloads, deeper product consolidation and security adoption are translating into steadier top-line progress would support the existing thesis, while any fresh softness in large customer usage or another conservative outlook would keep the biggest current risk front and center.
Datadog’s current analyst narrative points to US$7.6b in revenue and US$754.4m in earnings by 2029, based on an assumed 24.3% yearly revenue growth rate and an earnings rise of about US$576.8m from US$177.6m today.
Uncover how Datadog's fair value indicates a 4% potential upside to its current price before that gap closes.
The sharpest contrast comes from how much weight you put on Datadog’s R&D and AI spend. While the recent broker calls frame AI as a clear opportunity, the lowest analysts saw risk of heavy costs dragging on profitability, with revenue at about US$6.8b and earnings near US$369.7m by 2029 before this news. That more cautious story can still shift, so treat today’s headlines as a prompt to explore several possible paths rather than one fixed outcome.
Explore 4 other Datadog fair value estimates, including one that suggests as much as 21% downside from the current price!
Disagree with existing narratives? Extraordinary investment returns rarely come from following the herd, so go with your instincts.
Once you have a clear view on Datadog, it helps to compare that thesis with other opportunities that fit different risk and quality profiles. The Simply Wall St Screener can surface a range of alternatives that match what you care about most, whether that is stability, income, or mispriced quality.
Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team@simplywallst.com