Snowflake Hits $100M AI Revenue Run Rate, Shares Climb
CEO Sridhar Ramaswamy says the milestone is driven by 'real usage, not hype,' as the data cloud company proves early success in monetizing enterprise AI.
Snowflake Inc. shares gained after the company announced its artificial intelligence products have surpassed a $100 million annualized revenue run rate, a key milestone that signals early success in its strategy to become a central platform for enterprise AI.
In a market eager for tangible evidence of AI monetization, CEO Sridhar Ramaswamy emphasized the milestone was achieved through genuine customer adoption rather than speculative hype. "This is real usage, real consumption, not hype," Ramaswamy stated, underscoring that the rapid growth reflects enterprises deploying AI applications on Snowflake's platform to solve concrete business problems. The news sent Snowflake's stock up more than 2% to $265 in recent trading.
This achievement validates the company's significant investments in AI capabilities, particularly its Snowflake Intelligence Cloud, which provides the infrastructure for building and deploying AI-powered applications. The platform has seen rapid uptake, with the company's enterprise AI agent, "Snowflake Intelligence," now being used by over 1,200 customers, according to a recent company report.
The $100 million figure provides a concrete metric for Wall Street to measure Snowflake's progress in a fiercely competitive landscape. The company has been racing against rivals like Databricks and the major cloud providers—Amazon Web Services, Microsoft Azure, and Google Cloud—to capture the burgeoning market for enterprise data and AI workloads.
Analysts have taken note of the momentum. Goldman Sachs recently raised its price target on Snowflake to $275, citing that the company reached the $100 million AI revenue milestone a full quarter earlier than anticipated. Rosenblatt Securities also boosted its target to $275, pointing to a "significant" medium-term growth opportunity driven by AI adoption.
The AI revenue stream contributes to Snowflake's robust financial performance. The company reported total revenue of $1.21 billion for the third quarter of fiscal 2026, a 29% increase year-over-year that surpassed analyst expectations. Product revenue, a key performance indicator for the company, grew 29% to $1.16 billion.
Snowflake's strategy centers on enabling companies to securely bring advanced AI models to their proprietary data, rather than the other way around. This approach is designed to address major enterprise concerns around data security, privacy, and governance. By integrating with major large language models and providing tools for fine-tuning, Snowflake aims to be the secure foundation where businesses build their competitive AI advantage.
Further bolstering its ecosystem, Snowflake has deepened its partnership with Amazon Web Services. The company recently announced it had doubled its transaction growth in the AWS Marketplace year-over-year, clearing over $2 billion in sales on the platform in calendar 2025. This collaboration accelerates the ability of joint customers to deploy data and AI solutions.
As Snowflake continues to execute on its AI roadmap, investors will be closely watching the growth rate of its AI-related revenue. The early achievement of the $100 million run rate serves as a powerful proof point that its strategy is not just theoretical but is actively translating into material financial results, positioning Snowflake as a key player in the next phase of the enterprise AI revolution.