$SNOW Main Products Performance and Product innovations in the Last Quarter
Over 400 new capabilities were launched in FY '25, more than double the previous year. Cortex Agents introduce automated data workflows, simplifying the deployment of AI-driven applications. Expanded partnerships with OpenAI and Anthropic integrate top-tier AI models while maintaining enterprise-grade security.
Snowflake Convert is now free, accelerating migrations from Oracle and Teradata. New connectors for SharePoint, Google Drive, Workday, and Slack enhance data ingestion and integration. Iceberg support is expanding, enabling new analytics workloads without data movement. Advancements in data-sharing continue to strengthen Snowflake’s ecosystem.
Snowflake appointed Mike Gannon as its new Chief Revenue Officer (CRO), effective March 14, 2025. Previously President of Americas Sales at VMware by Broadcom, Gannon will lead Snowflake’s revenue and go-to-market teams to drive its next phase of growth. He brings over a decade of experience in high-growth, competitive markets, with leadership roles at EMC Corporation and Isilon Systems.
Cortex AI: Growth is accelerating, with 4,000 customers using AI and machine-learning capabilities weekly. Snowflake is expanding AI offerings with Cortex Agents, providing automated orchestration for structured and unstructured data. Integration with OpenAI and Anthropic models strengthens Snowflake’s AI platform, enhancing retrieval, search, and automation. AI-driven data analytics is seeing strong adoption, but converting this into direct revenue impact remains a challenge.
Apache Iceberg: Iceberg adoption is expanding Snowflake’s addressable market by allowing enterprises to query and manage large-scale datasets without migration. Customer interest is turning into tangible revenue, with storage still accounting for ~11% of total revenue. Iceberg is creating new opportunities for data engineering and analytics workloads. Initial concerns over potential data movement out of Snowflake are now offset by the influx of new workloads.
Snowpark: Snowpark contributed 3% of FY ‘25 product revenue, reflecting strong enterprise adoption of Python, Java, and Scala-based data engineering. AI and machine-learning applications built on Snowpark are growing as enterprises adopt broader analytics capabilities. Snowflake is expanding functionality to simplify implementation. The challenge remains in deepening industry penetration beyond cloud-native companies.
Dynamic Tables: Dynamic Tables simplify real-time data processing and are driving significant adoption. Customers benefit from defining complex data transformations with simple SQL, eliminating the need for traditional ETL processes. Increased adoption is fueling Snowflake’s data engineering growth. Performance enhancements and expanded integrations are key areas of focus to sustain momentum.
Snowflake Marketplace: Marketplace plays a growing role in data collaboration, enabling enterprises to distribute and monetize data for AI training and analytics. Major customers such as Stripe, NTT, and Braze each maintain 160 active data-sharing connections. Expanding the network effect and improving seamless integrations are priorities for growth. Marketplace is reinforcing Snowflake’s position as a central hub for enterprise data exchange.