Snowflake has deepened its strategic partnership with Google Cloud by embedding Google’s Gemini 3 model natively within Snowflake Cortex AI. This integration gives enterprise customers direct access to one of the industry’s most advanced multimodal AI models without exporting data, reducing model deployment times by up to 40%. Snowflake and Google Cloud have also aligned their product roadmaps and go-to-market strategies, with joint development sprints focused on enhanced security features, automated data governance and performance optimizations that target sub-second query latencies on AI workloads. Early adopters report a 30% reduction in operational overhead when building custom AI applications on the combined platform.

In 2025, Snowflake secured 110 analyst upgrades—the third-highest total on Wall Street—propelling its shares to a 42% gain for the year. The company beat consensus estimates on both revenue and adjusted EPS in every quarterly report, highlighted by its August update, which exceeded sales forecasts by 6% and prompted management to raise full-year revenue growth guidance from 25% to 27%. Snowflake’s AI offerings drove roughly 50% of new bookings in the December quarter, and its AI revenue run rate surpassed $100 million one quarter ahead of schedule. Despite an 11% share pullback after margin guidance fell slightly short of forecasts, over a dozen analysts raised their price targets. The consensus target stands near $275, implying approximately 25% upside, while post-quarter updates average $278, suggesting 28% potential gains for investors in 2026.