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Datadog stock soars 31% on blockbuster earnings as AI winners emerge in software
How Twilio and Datadog are winning back investor confidence Datadog surged 31% on Thursday after reporting blockbuster earnings and lifting its guidance for the year, showing how some software names are starting to prove their case as winners in artificial intelligence. Quarterly revenue topped one billion dollars for the first time. The pop fueled rallies in shares of Snowflake and MongoDB, which each climbed 10%. Datadog provides the cloud infrastructure that AI models from OpenAI and Anthropic run on. According to analysts, OpenAI is its biggest customer. CEO Olivier Pomel revealed on the earnings call that the company landed two major hyperscaler customers for training in their superintelligence labs. "This was an eye-popping print," wrote Andrew Sherman, analyst at TD Securities, who called it a "must-own stock." The positivity surrounding Datadog follows strong earnings from Twilio last week. Investors say the performance from Datadog and Twilio underscores how companies that can deploy AI-native solutions while also articulating their path to monetization can ease disruption fears, for now. At Twilio's investor day on Wednesday, the communications software company unveiled new platform capabilities that help AI agents communicate and work together more effectively. The updates include logging customer data, facilitating handoffs, and creating lists of actionable data. It may sound mundane, but Twilio CEO Khozema Shipchandler told CNBC that these enhancements will dramatically improve the customer experience by making agents better at solving customer issues.
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Datadog stock soars after AI guidance raised, with cloud momentum
The New York-based group, which specializes in cloud monitoring and analytics platforms, is fully capitalizing on the accelerating adoption of generative AI and the modernization of corporate digital infrastructures. This momentum has enabled it to comfortably beat market expectations in the latest quarter and provide a significantly upgraded outlook. Datadog now forecasts annual revenue of $4.30bn and $4.34bn, up from a previous range of $4.06bn to $4.10bn. Adjusted EPS is expected between $2.36 and $2.44, above the prior range of $2.08 to $2.16. CEO Olivier Pomel highlighted that the group is supporting companies across numerous sectors in deploying solutions based on cloud and artificial intelligence, two markets where growth continues to accelerate. Dan Ives, analyst at Wedbush, says that, "this growth is driven by accelerating demand for its platform in both AI-native and more traditional applications, reinforcing Datadog's strategic positioning at the heart of cloud migration, digital transformation, and AI adoption." He also believes that this release marks a significant turning point for the company. "We view these results as a major milestone for Datadog, demonstrating that artificial intelligence acts as a growth engine rather than a disruptive threat. Its positioning in cloud, digital transformation, and now AI training and inference provides multi-year visibility to support accelerated growth and continued market share gains," he added. Analysts at JP Morgan also maintain a positive outlook on the stock. The bank considers Datadog a "category leader in the cybersecurity space," benefiting from long-term growth potential largely underpinned by artificial intelligence. The broker notably pointed out that new code generation tools, such as Claude Code, are significantly accelerating application production and mechanically increasing the need for infrastructure and cloud monitoring. JP Morgan also recalled that Datadog had mentioned, during its previous earnings call, an eight-figure contract won with "a leader in AI models," potentially Anthropic according to analysts. For the American bank, however, the stakes go beyond the identity of this client. This momentum primarily illustrates the expansion of Datadog's addressable market, driven by the rising prominence of artificial intelligence across the entire digital economy.
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Datadog stock jumped 31% after reporting quarterly revenue exceeding $1 billion for the first time and raising annual guidance significantly. The cloud monitoring platform is proving itself among software firms successfully leveraging AI, with OpenAI and Anthropic as major customers. CEO Olivier Pomel announced two new hyperscaler customers for superintelligence labs, signaling Datadog's expanding role in AI infrastructure.
Datadog stock soared 31% on Thursday following blockbuster earnings that demonstrated how the cloud monitoring platform has positioned itself as a clear winner in the AI infrastructure race
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. The New York-based company reported quarterly revenue topping $1 billion for the first time, a milestone that sent ripples across the software sector and fueled rallies in related stocks like Snowflake and MongoDB, which each climbed 10%1
.Source: Market Screener
Datadog now forecasts annual revenue between $4.30 billion and $4.34 billion, up from a previous range of $4.06 billion to $4.10 billion
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. Adjusted earnings per share are expected between $2.36 and $2.44, above the prior range of $2.08 to $2.162
. This significant upgrade reflects accelerating demand driven by generative AI adoption and the modernization of corporate digital infrastructures across multiple sectors.Datadog provides the cloud infrastructure that AI models from OpenAI and Anthropic run on, with analysts identifying OpenAI as its biggest customer
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. During the earnings call, CEO Olivier Pomel revealed that the company landed two major hyperscaler customers for training in their superintelligence labs, underscoring Datadog's expanding footprint in cutting-edge AI development1
. JP Morgan previously noted that Datadog had mentioned an eight-figure contract with "a leader in AI models," potentially Anthropic, highlighting the scale of these partnerships2
.The momentum illustrates how new code generation tools, such as Claude Code, are significantly accelerating application production and mechanically increasing the need for cloud monitoring and infrastructure oversight
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. This creates a virtuous cycle where AI advancement directly expands Datadog's addressable market.The performance from Datadog follows strong earnings from Twilio last week, demonstrating how software firms successfully leveraging AI can articulate clear paths to monetization and ease disruption fears
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. At Twilio's investor day on Wednesday, the communications platform unveiled new capabilities that help AI agents communicate and work together more effectively, addressing practical implementation challenges that enterprises face1
.Investor confidence is returning to companies that can deploy AI-native solutions while demonstrating concrete revenue growth. Andrew Sherman, analyst at TD Securities, called Datadog's results "an eye-popping print" and labeled it a "must-own stock"
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. Dan Ives from Wedbush emphasized that "this growth is driven by accelerating demand for its platform in both AI-native and more traditional applications, reinforcing Datadog's strategic positioning at the heart of cloud migration, digital transformation, and AI adoption"2
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Wedbush views these results as a major turning point, stating that "artificial intelligence acts as a growth engine rather than a disruptive threat"
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. Datadog's positioning across cloud, digital transformation, and AI training and inference provides multi-year visibility to support accelerated growth and continued market share gains. JP Morgan maintains a positive outlook, considering Datadog a "category leader in the cybersecurity space" with long-term growth potential largely underpinned by artificial intelligence2
. The expansion of Datadog's addressable market is driven by the rising prominence of AI across the entire digital economy, suggesting sustained cloud momentum as enterprises continue their digital transformation journeys.Summarized by
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