Cloud Computing / Data Analytics / AI
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Snowflake Inc. provides a cloud-based data platform for organizations in the United States and internationally. The company's platform includes its AI Data Cloud, which enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data applications, and share data and data products, while also applying AI for solving business problems.
Snowflake's founders built a solution to harness the immense power available in the public cloud, creating the AI Data Cloud — a unified platform and connected ecosystem of organizations building, using, and sharing data, apps, and AI. Within the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Snowflake delivers a single, seamless experience across multiple public clouds, regardless of where data or users reside.
The company operates as a transformative force in the data management industry, serving as the backbone for modern AI and analytics workloads. Snowflake makes enterprise AI easy, efficient, and trusted. Thousands of companies worldwide, including hundreds of the world's largest, use Snowflake's AI Data Cloud to share data, build applications, and power their businesses with AI.
Snowflake's financial performance shows strong growth driven by its innovative data cloud platform.
- Revenue: $942.1 million, representing 28% year-over-year growth.
- Product Revenue: $900.3 million, representing 29% year-over-year growth.
- The strong performance exceeded analyst expectations, with revenue of $942 million versus $897 million expected.
- Net Revenue Retention Rate: 127%
- Non-GAAP Operating Margin: 6%
- Non-GAAP Product Gross Margin: 76%
- Remaining Performance Obligations: $5.7 billion (55% YoY growth)
- Cash and Investments: $5 billion
- Snowflake projects $3.43 billion in fiscal 2025 product revenue, implying 29% growth. This forecast is an increase from the previous $3.36 billion forecast.
- The full-year outlook also includes an adjusted operating margin of 5%, up from the 3% guidance provided earlier.
Snowflake continues to expand its customer base and penetrate large enterprises.
- Total Customers: 10,618 at the end of October, adding 369 in the latest quarter.
- Large Enterprise Penetration: 542 customers with trailing 12-month product revenue greater than $1 million, and 754 Forbes Global 2000 customers. This represents 25% and 8% year-over-year growth in these segments, respectively.
Snowflake has established itself as a critical infrastructure provider across a wide array of industries.
- Industries Served: Financial services, advertising, media and entertainment, retail and consumer goods, healthcare and life sciences, manufacturing, technology, telecom, travel and hospitality, government and defense, and the public sector.
- Market Capitalization: $78.09 Billion (as of September 19, 2025).
Snowflake is at the forefront of AI integration within its Data Cloud, driving innovation and strategic partnerships.
- Snowflake Cortex: Significant adoption of its AI feature family, Snowflake Cortex, with over 1,000 deployed use cases, demonstrating successful integration of AI-powered analytics.
- Strategic Partnerships: Announced a multiyear partnership with Anthropic (an AI startup backed by Amazon and a competitor to OpenAI).
- Acquisitions: Agreed to acquire startup Datavolo for an undisclosed sum to further enhance its capabilities.
Strong collaborations with major cloud providers enhance interoperability and revenue streams.
- AWS Partnership: "Through our collaboration with AWS, we have booked over $3.9 billion over the past four quarters," stated CEO Sridhar Ramaswamy. Similar integrations and revenue generation occur with other major cloud providers.
The company has consistently demonstrated robust annual revenue growth.
- FY 2025: $3.626 billion (29.21% increase from FY 2024)
- FY 2024: $2.806 billion (35.86% increase from FY 2023)
- FY 2023: $2.066 billion (69.41% increase from FY 2022)
Snowflake's leadership is focused on balancing growth with operational efficiency to ensure sustainable long-term success.
- Efficiency Focus: CEO Sridhar Ramaswamy emphasized a focus on cost savings through creating centralized, more efficient teams and removing redundant management layers, enabling faster decision-making.
- Sustainable Growth: The management team continues to balance growth investments with operational efficiency improvements, positioning the company for sustainable long-term growth while maintaining its technological leadership in the rapidly evolving data and AI landscape.