Snowflake has deepened its collaboration with Google Cloud by integrating Google’s Gemini 3 model directly into Snowflake Cortex AI. This integration allows enterprise customers to run advanced large language models natively on the Snowflake Data Cloud without moving data off-platform. In initial tests, customers saw query response times improve by up to 30%, while data scientists reported development cycles shortened by 25%. Snowflake and Google Cloud plan to roll out joint go-to-market programs in the second quarter, targeting financial services, healthcare and retail organizations with combined AI-powered data analytics solutions.

In 2025, Snowflake received 110 analyst upgrades—the third-highest tally among technology names—contributing to a 42% total return for the year. The company beat consensus sales and adjusted EPS estimates in every quarter, highlighted by an August report that raised full-year revenue growth guidance from 25% to 27%. In December, Snowflake noted that AI-related products accounted for roughly half of new bookings and achieved a $100 million annualized revenue run rate for AI offerings one quarter ahead of schedule. Following these results, over a dozen analysts lifted their price targets, with the consensus target implying approximately 25% upside for 2026 and newer estimates suggesting closer to 28%. Analysts cite accelerating AI adoption and expanding platform usage as key drivers of further growth.