Snowflake Investor Day 2025: Data, AI, and Transformation

Snowflake Investor Day 2025: Data, AI, and Transformation

• 1. © 2025 Snowflake Inc. All Rights Reserved SNOWFLAKE INVESTOR DAY 2025

• 2. © 2025 Snowflake Inc. All Rights Reserved Safe Harbor Other than statements of historical fact, all statements contained in this presentation and accompanying oral commentary (collectively, the Materials) are forward-looking statements (FLS) within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms. We have based the FLS in the Materials largely on our current expectations and projections about future events and trends that we believe may affect our financial condition, results of operations, business strategy, short-term and longterm business operations and objectives, and financial needs, but the FLS are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the FLS. These risks, uncertainties, assumptions, and other factors include, but are not limited to, those related to our business and financial performance; general market and business conditions, downturns, or uncertainty, including higher inflation, tariffs and trade wars, higher interest rates, fluctuations or volatility in capital markets or foreign currency exchange rates, and geopolitical instability; our ability to attract and retain customers that use our platform to support their end-to-end data lifecycle; the extent to which customers continue to optimize consumption; the impact of new or optimized product features and pricing strategies on consumption, including Iceberg tables and tiered storage pricing; unforeseen technical, operational, or business challenges impacting the timing, scope, or success of strategic partnerships; the extent to which customers continue to rationalize budgets and prioritize cash flow management, including through shortened contract durations; our ability to develop new products and services and enhance existing products and services; the extent to which customer adoption of new product capabilities results in durable consumption; the growth of successful native applications on the Snowflake Marketplace; our ability to respond rapidly to emerging technology trends, including the adoption and use of artificial intelligence; our ability to execute on our business strategy, including our strategy related to artificial intelligence, the AI Data Cloud, Snowpark, and Snowflake Marketplace; our ability to increase and predict customer consumption of our platform, particularly in light of the impact of holidays on customer consumption patterns; our ability to compete effectively; our ability to increase our penetration into existing markets and enter and grow new markets, including highly-regulated markets such as financial services, healthcare, and the public sector; the impact of cybersecurity threat activity directed at our customers and any resulting reputational or financial damage; our ability to manage growth; our ability to sublease or terminate certain of our office facility commitments and the impact of related asset impairment; the impact and timing of stock repurchases under our stock repurchase program; and our ability to meet the requirements of our convertible senior notes (the “Notes”) and the settlement timing and method for the Notes and the related capped call transactions. Further information on these and additional risks, uncertainties, assumptions and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the FLS contained in the Materials are included in Snowflake’s Quarterly Reports on Form 10-Q and Annual Reports on Form 10-K and other filings and reports we make with the Securities and Exchange Commission from time to time. Moreover, we operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor(s) may cause actual results or outcomes to differ materially from those included in the FLS in the Materials. As a result of these risks, uncertainties, assumptions, and other factors, you should not rely on any FLS as predictions of future events. FLS speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or management's good faith belief as of that time with respect to future events and trends. Except as required by law, we undertake no obligation, and do not intend, to update the FLS in these Materials. The Materials may contain information provided by third-parties. Snowflake has not independently verified this information, and usage of this information does not mean or imply that Snowflake has adopted this information as its own or independently verified its accuracy. © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned in the Materials are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used in the Materials are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

• 3. © 2025 Snowflake Inc. All Rights Reserved AGENDA Sridhar Ramaswamy Chief Executive Officer Christian Kleinerman EVP, Product Mike Gannon Chief Revenue Officer Audience Q&A

• 4. © 2025 Snowflake Inc. All Rights Reserved SRIDHAR RAMASWAMY

• 5. © 2025 Snowflake Inc. All Rights Reserved DATA AI TRANSFORMATION

• 6. © 2025 Snowflake Inc. All Rights Reserved PROCESSING Unstructured Structured CONSUMPTION BI Data Science Apps Sharing Stream Extract Load DATA SOURCE SaaS Applications Databases IoT Catalog and Governance BRONZE SILVER GOLD

• 7. © 2025 Snowflake Inc. All Rights Reserved PROCESSING SILVER GOLD CONSUMPTION Sharing Accelerate Migrations DATA SOURCE SaaS Applications Databases IoT Catalog and Governance Unstructured & Structured Chatbots BI Predictive AI Data Science Agents Apps BRONZE

• 8. © 2025 Snowflake Inc. All Rights Reserved ANALYTICS DATA SOURCE PROCESSING CONSUMPTION

• 9. © 2025 Snowflake Inc. All Rights Reserved PROCESSING CONSUMPTION DATA ENGINEERING DATA SOURCE PROCESSING

• 10. © 2025 Snowflake Inc. All Rights Reserved DATA SOURCE PROCESSING PROCESSING CONSUMPTION AI © 2025 Snowflake Inc. All Rights Reserved

• 11. © 2025 Snowflake Inc. All Rights Reserved PROCESSING Apps Sharing DATA SOURCE PROCESSING CONSUMPTION Applications & Collaboration © 2025 Snowflake Inc. All Rights Reserved

• 12. © 2025 Snowflake Inc. All Rights Reserved Analytics Data Engineering AI Applications & Collaboration

• 13. © 2025 Snowflake Inc. All Rights Reserved Note: Calendar year ends December 31. Based on Snowflake estimates. +2x $170B $355B Snowflake Market Opportunity

• 14. © 2025 Snowflake Inc. All Rights Reserved Note: Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark and Cloud Native as of May 2, 2025. 5.2K Accounts using AI/ML on a weekly basis 2x Increase in product velocity 1.8× Faster than Cloud Native 1.9× Faster than Managed Spark Analytics Innovation

• 15. © 2025 Snowflake Inc. All Rights Reserved Snowflake Competitors

• 16. © 2025 Snowflake Inc. All Rights Reserved

• 17. © 2025 Snowflake Inc. All Rights Reserved Sridhar Ramaswamy Chief Executive Officer Benoit Dageville Co-Founder & President of Products Mike Scarpelli Chief Financial Officer Mike Gannon Chief Revenue Officer Denise Persson Chief Marketing Officer Christian Kleinerman EVP, Product Vivek Raghunathan SVP of Engineering Mike Blandina Chief Information Officer

• 18. © 2025 Snowflake Inc. All Rights Reserved Alignment Customer First Accountability Ongoing Excellence

• 19. © 2025 Snowflake Inc. All Rights Reserved R&D Sales SBC M&A Efficient Investment

• 20. © 2025 Snowflake Inc. All Rights Reserved CHRISTIAN KLEINERMAN

• 21. © 2025 Snowflake Inc. All Rights Reserved Self-Optimizing Fully Managed Service One Platform Across Stack TCO 1.0x 1.3x Leading Platform SNOWFLAKE MANAGED SPARK Note: TCO stands for Total Cost of Ownership. Results based on a benchmark performed by a third party consultant as of May 2025.

• 22. © 2025 Snowflake Inc. All Rights Reserved Managed Spark Cloud Native Snowflake Faster than… Cloud Native Elapsed Time 1.8x Managed Spark 1.9x Note: Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark and Cloud Native as of May 2, 2025. Core Analytics Workloads

• 23. © 2025 Snowflake Inc. All Rights Reserved Iceberg Performance Faster than… Managed Spark 1.8x Managed Spark Snowflake Elapsed Time Core Analytics Workloads on Iceberg Tables Note: Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark as of May 2, 2025.

• 24. © 2025 Snowflake Inc. All Rights Reserved Committed to Leading Price Performance 2012 Serverless 2025 Gen2 NEXT Adaptive Price/ Performance

• 25. © 2025 Snowflake Inc. All Rights Reserved FY24 FY25 FY26+ Product Velocity +2X

• 26. © 2025 Snowflake Inc. All Rights Reserved Enterprise AI Thought Leader CUSTOMER PROBLEM SOLUTION OUTCOME 4X Slow Chatbots Speculative Decoding Faster Inference 75% Inference is too Expensive swiftKV Cost Reduction #1 Unreliable SQL Generation ExCOT SQL Benchmarks Note: Metrics from the following: Source 1, Source 2, and Source 3

• 27. © 2025 Snowflake Inc. All Rights Reserved Hosted Iceberg Summit Iceberg Proposals Iceberg Contributors Shaping the Industry

• 28. © 2025 Snowflake Inc. All Rights Reserved Analytical Hybrid Transactional

• 29. © 2025 Snowflake Inc. All Rights Reserved OpenFlow AI SQL Snowflake Intelligence AI Ready Data Data Engineering Analytics AI Adaptive Platform Applications & Collaboration

• 30. © 2025 Snowflake Inc. All Rights Reserved Step 1: General Availability Step 2: Adoption1 Step 3: Anticipated FY25 Growth Contribution Note: Scorecard measured as of Q1 FY25. Fiscal year ends January 31. 1. Adoption is based on whether a customer consumes any credits in a 7-day period that are attributable to the respective workload feature via our internal classifications. We take the average of the last four 7-day periods of the quarter ended April 30, 2024. Green indicates percent of total customers using is >10% for this period. Iceberg Tables Cortex AI Unstructured Data Native Apps Snowpark Containers Snowpark Streamlit in Snowflake Unistore INVESTOR DAY 2024

• 31. © 2025 Snowflake Inc. All Rights Reserved Step 1: General Availability Step 2: Adoption1 Step 3: Anticipated FY25 Growth Contribution Note: Scorecard measured as of Q1 FY25. Fiscal year ends January 31. 1. Adoption is based on whether a customer consumes any credits in a 7-day period that are attributable to the respective workload feature via our internal classifications. We take the average of the last four 7-day periods of the quarter ended April 30, 2024. Green indicates percent of total customers using is >10% for this period. Iceberg Tables Cortex AI Unstructured Data Native Apps Snowpark Containers Snowpark Streamlit in Snowflake Unistore INVESTOR DAY 2024

• 32. © 2025 Snowflake Inc. All Rights Reserved FY25 Growth Contribution Snowpark Cortex Dynamic Tables Iceberg Tables

• 33. © 2025 Snowflake Inc. All Rights Reserved

• 34. © 2025 Snowflake Inc. All Rights Reserved Data Engineering Analytics AI Applications & Collaboration Platform Data Warehouse Lakehouse Snowflake Cortex Snowpark Containers Snowpark OpenFlow Data Sharing Native Apps Advanced Analytics AI SQL Snowflake Intelligence Dynamic Tables Streaming Unistore Data Clean Rooms Iceberg Snowpipe Tables AI Ready Postgres Data

• 35. © 2025 Snowflake Inc. All Rights Reserved Platform Data Engineering Analytics AI Applications & Collaboration

• 36. © 2025 Snowflake Inc. All Rights Reserved Data Engineering Analytics AI Applications & Collaboration

• 37. © 2025 Snowflake Inc. All Rights Reserved MIKE GANNON

• 38. © 2025 Snowflake Inc. All Rights Reserved Retail & Consumer Goods Media & Entertainment Financial Services Telecommunications Travel & Hospitality Public Sector Manufacturing & Industrials Healthcare & Life Sciences Centers for Medicare & Medicaid Services

• 39. © 2025 Snowflake Inc. All Rights Reserved EASY CONNECTED TRUSTED

• 40. © 2025 Snowflake Inc. All Rights Reserved Core Sales Our Partners Data Specialization

• 41. © 2025 Snowflake Inc. All Rights Reserved Alignment Ongoing Customer Excellence First Accountability

• 42. © 2025 Snowflake Inc. All Rights Reserved Create Awareness Build Trust Deliver Results Grow Trust Customer Journey GTM Organization Sales Development Professional Services Support Marketing Partners Solution Engineering Field Sales

• 43. © 2025 Snowflake Inc. All Rights Reserved Expansion GTM Approach Industry Specialists Product Specialists Acquisition

• 44. © 2025 Snowflake Inc. All Rights Reserved 44 Q&A Sridhar Ramaswamy Chief Executive Officer Mike Scarpelli Chief Financial Officer Mike Gannon Chief Revenue Officer Christian Kleinerman EVP, Product

• 45. © 2025 Snowflake Inc. All Rights Reserved APPENDIX

• 46. © 2025 Snowflake Inc. All Rights Reserved Product Revenue: Product revenue is primarily derived from the consumption of compute, storage, and data transfer resources by customers on our platform. Customers have the flexibility to consume more than their contracted capacity during the contract term and may have the ability to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Our consumption-based business model distinguishes us from subscription-based software companies that generally recognize revenue ratably over the contract term and may not permit rollover. Because customers have flexibility in the timing of their consumption, which can exceed their contracted capacity or extend beyond the original contract term in many cases, the amount of product revenue recognized in a given period is an important indicator of customer satisfaction and the value derived from our platform. While customer use of our platform in any period is not necessarily indicative of future use, we estimate future revenue using predictive models based on customers’ historical usage to plan and determine financial forecasts. Product revenue excludes our professional services and other revenue. Marketplace Listings: Each live dataset, package of datasets, or data service published by a data provider as a single product offering on Snowflake Marketplace is counted as a unique listing. A listing may be available in one or more regions where Snowflake Marketplace is available. Stable Edges: An “edge” is a data or native application share between a Snowflake customer, as a ‘provider,’ and another Snowflake customer, as a ‘consumer.’ A “stable edge” is an edge that has produced at least 20 jobs in which compute resources are consumed and such consumption results in recognized product revenue over two successive three-week periods (20 jobs in each period). Effective February 1, 2024, we adjusted the definition of "stable edge" to include native application shares in addition to data shares, and for the purposes of this presentation, have adjusted comparative period amounts accordingly. Definitions

• 47. © 2025 Snowflake Inc. All Rights Reserved THANK YOU