Snowflake has deepened its collaboration with Google Cloud by integrating Google’s Gemini 3 model directly into Snowflake Cortex AI. This native integration allows enterprise customers to run advanced AI workloads on their data without moving it outside the Snowflake platform. The companies have also aligned their go-to-market strategies: joint sales teams will target Fortune 500 accounts, and bundled pricing options will be available for customers deploying both Snowflake’s Data Cloud and Google Cloud AI services.

In its August earnings report, Snowflake delivered another quarter of strong results, surpassing consensus estimates for both revenue and adjusted earnings per share. The company reported year-over-year revenue growth in the mid-50% range and raised its full-year revenue growth outlook from 25% to 27%. This guidance upgrade reflects accelerating demand for Snowflake’s platform as more enterprises deploy cloud data warehousing and data engineering workloads.

During the December quarterly update, Snowflake highlighted that AI-driven bookings now represent approximately 50% of total new business. The company’s AI product line achieved a $100 million annualized revenue run rate one quarter ahead of internal targets, driven by major deployments in financial services and retail. Despite the strong uptake, shares dipped following the report due to slightly softer margin guidance, as Snowflake invests in expanded AI compute capacity and professional services to support large-scale model deployments.

In 2025, Snowflake was one of the most upgraded stocks on Wall Street, receiving 110 analyst upgrades over the year and delivering a total return of roughly 42%. Following the December update, more than a dozen firms raised their price targets, with the consensus target implying roughly 25% upside from current levels. Analysts cite Snowflake’s leadership in cloud data management and its emerging AI revenue stream as key drivers of long-term growth.