尽管其在人工智能/机器学习和应用市场仍处于早期阶段，但将基于人工智能的创新融入核心业务，叠 加客户将数据基础设施现代化作为执行其人工智能计划的必要步骤的优先级不断提高，已导致核心数据 仓库业务趋于稳定。与此同时，产品路线图的快速执行以及定价和打包方式的改变，已使数据工程的收 入运行率超过2亿美元。 智通财经APP获悉，摩根士丹利近日发布研报力挺Snowflake(SNOW.US)，称人工智能将为其核心业务 开辟长期增长路径，而公司向数据工程和人工智能领域市场拓展的动作，则为其在2030年前实现20%以 上的复合年增长率(CAGR)提供了途径。该行对该股进行首次覆盖，并给予增持评级，目标价为262美 元。 更精准的执行定位助力把握庞大机遇 在经历了数年增长大幅放缓以及投资者对其在人工智能/机器学习(A/M)领域定位的担忧后，Snowflake 的长期增长前景在首席执行官斯里达尔・拉马斯瓦米(2024年2月上任)的领导下已有所改善。 大摩写道，在他的任期内，Snowflake在销售、市场推广和产品工程等各个方面都成为了执行更高效的 组织，这使得产品收入增长率稳定在20%以上。此外，Snowflake在四大机遇领域 ...

Snowflake (SNOW) Conference Summary - May 28, 2025 Company Overview - **Company**: Snowflake Inc. (SNOW) - **Industry**: Cloud Data Warehousing and Analytics Key Points and Arguments Financial Performance - Snowflake started the year with strong momentum, continuing from a solid Q3 and Q4 performance [2][3] - The company experienced broad-based outperformance, particularly in the retail and technology sectors [3] - Notable growth in bookings, including two deals exceeding $100 million in the financial services sector [5] - Free cash flow margin for the quarter was reported at 20%, aligning with expectations but slightly lower compared to historical performance due to timing of bookings [7] Customer Base and Market Dynamics - The customer profile is shifting towards larger enterprises, which exhibit smoother growth patterns compared to previous cohorts [6][11] - The diversity in the customer base has increased, moving away from a tech-heavy focus to include large banks, telcos, and healthcare companies [9][11] - The company is benefiting from the ongoing migration of on-premise data estates to the cloud, particularly as renewal cycles approach [54] Product Development and AI Integration - Snowflake is focusing on continuous improvement in both product and go-to-market strategies under the leadership of CEO Sreedhar Reddy [17][19] - The product roadmap includes four main areas: data engineering, analytics, AI/ML, and applications [21] - The Cortex suite, part of the AI/ML offerings, has grown from zero to over 5,200 weekly users in 15 months, indicating strong adoption [22] - The company is committed to enhancing traditional data analytics while also preparing for next-generation use cases in AI [26][27] Strategic Partnerships - The partnership with Microsoft Azure is described as stronger than ever, with efforts to ensure better compensation for Azure sales representatives selling Snowflake products [42][44] - Snowflake remains a close partner of Salesforce and Informatica, emphasizing that customers choose where to place their data [45] Competitive Landscape - Snowflake and Databricks are increasingly encroaching on each other's territories, with both companies experiencing rapid growth [48][50] - Snowflake differentiates itself through performance and ease of use, targeting a less technical audience compared to Databricks [49] Future Outlook - The company has guided for 25% growth in product revenue for the year, projecting approximately $4.3 billion [29] - There is a focus on achieving operating margin expansion while pursuing efficient growth strategies [31][38] - The leadership is optimistic about the potential for AI to become a more significant revenue contributor in the future, although it is currently not a major part of revenue [30][36] Upcoming Events - A mini investor day is scheduled, featuring key executives discussing the company's vision and product lifecycle [57][59] Additional Important Insights - The company is cautious about acquisitions, emphasizing the need for strong teams and proprietary technology that align with their product roadmap [51][52] - Snowflake's strategy includes leveraging internal use cases for AI to enhance productivity and operational efficiency [34][35] This summary encapsulates the key insights from the Snowflake conference, highlighting the company's performance, strategic direction, and market positioning.

Financial Data and Key Metrics Changes - Product revenue for Q1 was $997 million, representing a strong 26% year-over-year growth, and 28% when excluding the impact of the leap year [10][25] - Remaining performance obligations totaled $6.7 billion, with year-over-year growth of 34% [10] - Net revenue retention was a healthy 124% [11] - Non-GAAP product gross margin was 75.7%, and non-GAAP operating margin was 9%, up 442 basis points year-over-year [27][28] - Non-GAAP adjusted free cash flow margin was 20% [28] - The company ended the quarter with $4.9 billion in cash and investments [29] Business Line Data and Key Metrics Changes - New product offerings, particularly Snowpark and Dynamic Tables, outperformed expectations in Q1 [25] - The data engineering business showed strength, helping customers streamline their data pipelines [12] - The company added 451 net new customers in Q1, growing 19% year-over-year [27] Market Data and Key Metrics Changes - Strong growth was noted in the technology and retail sectors [25] - The company is expanding its addressable market with the launch of Snowflake Public Sector Inc. and new automotive solutions [22] Company Strategy and Development Direction - The company aims to empower enterprises through data and AI, focusing on operational rigor and efficiency while investing in growth [9] - Snowflake is committed to being an end-to-end technology provider for customers' data journeys [11] - The company is focusing on building a flexible connectivity platform for both structured and unstructured data [12] - There is a renewed focus on go-to-market operations under the new Chief Revenue Officer [21] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strong start to the year and the ongoing momentum in revenue growth [8] - The company expects Q2 product revenue between $1.035 billion and $1.040 billion, representing 25% year-over-year growth [29] - Management noted that customer behavior is being closely monitored to inform forecasts [29] Other Important Information - The company plans to host an Investor Day on June 3 in conjunction with Snowflake Summit [30] - The company is leveraging AI internally to boost productivity [22] Q&A Session Summary Question: Consumption trends exiting the quarter - Management stated that Q1 consumption was strong, and they feel good about consumption levels [34][36] Question: Monetization trends associated with Cortex - Management indicated that customers are investing in Snowflake to make their data processes AI-ready, with no separate contracts for AI [39][41] Question: Performance of Snowpark and Dynamic Tables - Management noted that both product maturation and go-to-market efforts contributed to their strong performance [45][47] Question: Federal government opportunities - Management highlighted increasing awareness of Snowflake's capabilities within government departments and optimism for future engagements [72][73] Question: Impact of macroeconomic conditions - Management observed that their customer base has evolved to include larger, more mature companies that are cost-focused, with no significant macro pressure noted [61][62] Question: Share buyback strategy - Management plans to evaluate share buybacks on a quarterly basis and anticipates utilizing the remaining authorization [56] Question: AI adoption and customer investments - Management confirmed that there is a strong demand for AI-related capabilities, with customers increasingly focusing on data rather than just models [113]