Snowflake to Host Largest User Conference Yet
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Apr 22 2026
0mins
Should l Buy SNOW?
Source: Yahoo Finance
- Conference Scale: Snowflake will host its largest user conference ever from June 1-4, 2026, in San Francisco, expecting over 20,000 attendees, including customers, partners, and employees, to showcase how enterprises leverage Snowflake for AI transformation.
- Keynote Highlights: The opening keynote will feature a discussion between Anthropic Co-Founder Daniela Amodei and Snowflake CEO Sridhar Ramaswamy, focusing on the next generation of AI innovation and the central role of data in that transformation, drawing attention from global business and technology leaders.
- Rich Session Content: The conference will offer over 500 breakout sessions and 39 hands-on labs, allowing participants to explore how data, AI, and applications converge to drive intelligent, agent-driven experiences, thereby enhancing operational efficiency for enterprises.
- Industry-Specific Events: Snowflake Summit 26 will also introduce industry-specific sessions and executive panels, showcasing advanced AI use cases and real-world outcomes from leading organizations, further solidifying Snowflake's leadership in the AI Data Cloud space.
Trade with 70% Backtested Accuracy
Stop guessing "Should I Buy SNOW?" and start using high-conviction signals backed by rigorous historical data.
Sign up today to access powerful investing tools and make smarter, data-driven decisions.
Analyst Views on SNOW
Wall Street analysts forecast SNOW stock price to rise
33 Analyst Rating
30 Buy
3 Hold
0 Sell
Strong Buy
Current: 153.720
Low
237.00
Averages
278.19
High
312.00
Current: 153.720
Low
237.00
Averages
278.19
High
312.00
About SNOW
Snowflake Inc. is a data cloud and artificial intelligence company. Its platform is the technology that powers the AI Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful insights, apply artificial intelligence (AI) to solve business problems, build data applications, and share data and data products. It provides its platform through a customer-centric, and consumption-based business model. Its cloud-native architecture consists of three independently scalable but logically integrated layers across compute, storage, and cloud services. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data to create a unified data record. Its ClearQuery platform allows users to rapidly search, explore, and analyze their data using natural language queries.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Snowflake Expands AI Governance Platform with New Features
- Platform Expansion: On April 21, 2026, Snowflake Inc. expanded its Snowflake Intelligence and Cortex Code, positioning the platform as a control plane for the agentic enterprise, thereby enhancing corporate capabilities in AI compliance.
- User Growth: More than 9,100 customers use Snowflake's AI products weekly, indicating that its AI governance narrative is closely tied to active user adoption rather than merely being a concept in presentations.
- Governance Features: The Snowflake Horizon Catalog is described as a universal AI catalog that provides built-in context and governance features, including RBAC, ABAC, and sensitive data classification, ensuring AI systems can access and query data correctly to meet compliance requirements.
- Market Potential: While Snowflake is viewed as a potentially valuable investment, analysts believe that certain AI stocks offer greater upside potential and lower downside risk, reflecting market concerns about AI governance and investor caution.
See More
Snowflake Partners with o9 Solutions to Enhance AI Data Cloud
- Value Enhancement: o9 Solutions announced an integration with Snowflake, leveraging the latter's Connected Application framework to connect the o9 Digital Brain platform with the Snowflake AI Data Cloud, enabling joint customers to utilize governed data within planning models and business functions, thereby enhancing decision-making efficiency.
- Decision-Making Capability Boost: Snowflake Senior Manager Liana Shuma stated that by embedding o9's advanced planning and decision-making capabilities into the Snowflake AI Data Cloud, enterprises can transition from insight to action more rapidly, creating a continuous closed-loop system that adapts to the rapidly changing market environment.
- Analyst Rating Outlook: Based on 51 analyst ratings compiled by CNN, Snowflake has a median price target of $230, representing a 62.30% upside from the current price of $141.71, indicating market optimism regarding its future growth potential.
- Market Concerns Impact: Despite projections of stable revenue growth of 20% to 30%, UBS Analyst Karl Keirstead lowered the price target to $210, citing investor concerns about potential disruptions from Anthropic and OpenAI in the data software market, which have contributed to the stock's year-to-date decline.
See More
Investment Opportunities Amid AI Stock Pullback
- Market Pullback Impact: The decline of many popular AI stocks in 2023, driven by the Iran war, inflation, and unclear monetary policies, has diminished investor interest in high-growth and speculative investments, creating attractive buying opportunities for long-term investors.
- Snowflake's Growth Potential: Snowflake's cloud data warehouses assist over 13,000 global customers in centralizing data and processing 6.3 billion queries daily; despite a drop in product revenue growth to 27% in fiscal 2026, it is expected to grow at a 25% CAGR from 2026 to 2029, indicating strong potential in AI applications.
- SoundHound's Market Expansion: SoundHound AI's revenue has increased more than fivefold from 2022 to 2025, and although its stock has declined 14% this year, its acquisitions are expanding its presence in restaurant digitization and conversational AI markets, with a projected 16% CAGR from 2025 to 2028, showcasing long-term growth potential.
- Acquisition-Driven Growth: SoundHound's growth has been primarily driven by acquisitions rather than organic expansion of its core platform, which may compress margins in the short term, but these acquisitions could yield substantial returns in the long run as the AI market expands.
See More
Growth Potential of Snowflake and SoundHound AI
- Snowflake's Market Performance: Despite a 33% decline in its stock this year, Snowflake's product revenue grew by 27% in fiscal 2026, indicating sustained growth potential in data centralization and AI applications, with a projected 25% CAGR in the coming years.
- Customer Base and Data Processing: Snowflake currently serves over 13,000 global customers and processes an average of 6.3 billion queries daily, with approximately 3,400 listings of data and applications on its marketplace, highlighting its significance in data-driven decision-making and market demand.
- SoundHound AI's Acquisition Strategy: SoundHound AI's revenue has increased more than fivefold from 2022 to 2025, and although its stock has dropped 14% this year, its acquisitions, including SYNQ3, are expanding its presence in the booming restaurant digitization and conversational AI markets, with a projected 16% CAGR from 2025 to 2028.
- Future Profitability Expectations: Analysts expect SoundHound AI to achieve positive adjusted EBITDA in 2027 and 2028, and despite its enterprise value of $4 billion, it is considered an attractive acquisition target that may exceed analysts' expectations.
See More
Datadog's Strong Earnings Boost Investor Confidence
- Impressive Earnings: Datadog reported quarterly revenue exceeding $1 billion for the first time, leading to a 31% surge in its stock price, which reflects the company's strong performance in the artificial intelligence sector and a restoration of investor confidence.
- Customer Expansion: CEO Olivier Pomel revealed that Datadog secured partnerships with two major hyperscaler customers focused on training in their superintelligence labs, further solidifying its leadership in the cloud infrastructure market.
- Industry Impact: Datadog's robust performance not only boosted its own stock but also propelled shares of Snowflake and MongoDB up by 10% each, indicating widespread market confidence in AI-related companies.
- Positive Twilio Performance: Twilio showcased new platform capabilities that enhance AI agents' communication efficiency during its investor day, resulting in a 50% stock price increase over the past month, reflecting market favor for companies effectively leveraging AI solutions.
See More
Datadog's Strong Earnings Propel Stock Surge
- Stock Surge: Datadog's stock soared 31% following its quarterly earnings report, marking its largest single-day gain since going public in 2023, reflecting strong market confidence in its AI solutions and solidifying its leadership in cloud infrastructure.
- Revenue Milestone: The company reported quarterly revenue exceeding $1 billion for the first time, indicating robust performance in the AI market, which has attracted investor interest and laid a solid foundation for future growth.
- Customer Base Expansion: CEO Olivier Pomel disclosed that Datadog secured two major hyperscaler customers for AI training, further enhancing its market position in the AI training sector and demonstrating its critical role in cloud infrastructure.
- Industry Impact: Datadog's impressive performance not only boosted its own stock but also lifted shares of other cloud infrastructure companies like Snowflake and MongoDB, indicating a growing market confidence in AI-related firms.
See More
Snowflake Expands AI Governance Platform with New Features
- Platform Expansion: On April 21, 2026, Snowflake Inc. expanded its Snowflake Intelligence and Cortex Code, positioning the platform as a control plane for the agentic enterprise, thereby enhancing corporate capabilities in AI compliance.
- User Growth: More than 9,100 customers use Snowflake's AI products weekly, indicating that its AI governance narrative is closely tied to active user adoption rather than merely being a concept in presentations.
- Governance Features: The Snowflake Horizon Catalog is described as a universal AI catalog that provides built-in context and governance features, including RBAC, ABAC, and sensitive data classification, ensuring AI systems can access and query data correctly to meet compliance requirements.
- Market Potential: While Snowflake is viewed as a potentially valuable investment, analysts believe that certain AI stocks offer greater upside potential and lower downside risk, reflecting market concerns about AI governance and investor caution.
See More
Snowflake Partners with o9 Solutions to Enhance AI Data Cloud
- Value Enhancement: o9 Solutions announced an integration with Snowflake, leveraging the latter's Connected Application framework to connect the o9 Digital Brain platform with the Snowflake AI Data Cloud, enabling joint customers to utilize governed data within planning models and business functions, thereby enhancing decision-making efficiency.
- Decision-Making Capability Boost: Snowflake Senior Manager Liana Shuma stated that by embedding o9's advanced planning and decision-making capabilities into the Snowflake AI Data Cloud, enterprises can transition from insight to action more rapidly, creating a continuous closed-loop system that adapts to the rapidly changing market environment.
- Analyst Rating Outlook: Based on 51 analyst ratings compiled by CNN, Snowflake has a median price target of $230, representing a 62.30% upside from the current price of $141.71, indicating market optimism regarding its future growth potential.
- Market Concerns Impact: Despite projections of stable revenue growth of 20% to 30%, UBS Analyst Karl Keirstead lowered the price target to $210, citing investor concerns about potential disruptions from Anthropic and OpenAI in the data software market, which have contributed to the stock's year-to-date decline.
See More
Investment Opportunities Amid AI Stock Pullback
- Market Pullback Impact: The decline of many popular AI stocks in 2023, driven by the Iran war, inflation, and unclear monetary policies, has diminished investor interest in high-growth and speculative investments, creating attractive buying opportunities for long-term investors.
- Snowflake's Growth Potential: Snowflake's cloud data warehouses assist over 13,000 global customers in centralizing data and processing 6.3 billion queries daily; despite a drop in product revenue growth to 27% in fiscal 2026, it is expected to grow at a 25% CAGR from 2026 to 2029, indicating strong potential in AI applications.
- SoundHound's Market Expansion: SoundHound AI's revenue has increased more than fivefold from 2022 to 2025, and although its stock has declined 14% this year, its acquisitions are expanding its presence in restaurant digitization and conversational AI markets, with a projected 16% CAGR from 2025 to 2028, showcasing long-term growth potential.
- Acquisition-Driven Growth: SoundHound's growth has been primarily driven by acquisitions rather than organic expansion of its core platform, which may compress margins in the short term, but these acquisitions could yield substantial returns in the long run as the AI market expands.
See More
Growth Potential of Snowflake and SoundHound AI
- Snowflake's Market Performance: Despite a 33% decline in its stock this year, Snowflake's product revenue grew by 27% in fiscal 2026, indicating sustained growth potential in data centralization and AI applications, with a projected 25% CAGR in the coming years.
- Customer Base and Data Processing: Snowflake currently serves over 13,000 global customers and processes an average of 6.3 billion queries daily, with approximately 3,400 listings of data and applications on its marketplace, highlighting its significance in data-driven decision-making and market demand.
- SoundHound AI's Acquisition Strategy: SoundHound AI's revenue has increased more than fivefold from 2022 to 2025, and although its stock has dropped 14% this year, its acquisitions, including SYNQ3, are expanding its presence in the booming restaurant digitization and conversational AI markets, with a projected 16% CAGR from 2025 to 2028.
- Future Profitability Expectations: Analysts expect SoundHound AI to achieve positive adjusted EBITDA in 2027 and 2028, and despite its enterprise value of $4 billion, it is considered an attractive acquisition target that may exceed analysts' expectations.
See More
Datadog's Strong Earnings Boost Investor Confidence
- Impressive Earnings: Datadog reported quarterly revenue exceeding $1 billion for the first time, leading to a 31% surge in its stock price, which reflects the company's strong performance in the artificial intelligence sector and a restoration of investor confidence.
- Customer Expansion: CEO Olivier Pomel revealed that Datadog secured partnerships with two major hyperscaler customers focused on training in their superintelligence labs, further solidifying its leadership in the cloud infrastructure market.
- Industry Impact: Datadog's robust performance not only boosted its own stock but also propelled shares of Snowflake and MongoDB up by 10% each, indicating widespread market confidence in AI-related companies.
- Positive Twilio Performance: Twilio showcased new platform capabilities that enhance AI agents' communication efficiency during its investor day, resulting in a 50% stock price increase over the past month, reflecting market favor for companies effectively leveraging AI solutions.
See More
Datadog's Strong Earnings Propel Stock Surge
- Stock Surge: Datadog's stock soared 31% following its quarterly earnings report, marking its largest single-day gain since going public in 2023, reflecting strong market confidence in its AI solutions and solidifying its leadership in cloud infrastructure.
- Revenue Milestone: The company reported quarterly revenue exceeding $1 billion for the first time, indicating robust performance in the AI market, which has attracted investor interest and laid a solid foundation for future growth.
- Customer Base Expansion: CEO Olivier Pomel disclosed that Datadog secured two major hyperscaler customers for AI training, further enhancing its market position in the AI training sector and demonstrating its critical role in cloud infrastructure.
- Industry Impact: Datadog's impressive performance not only boosted its own stock but also lifted shares of other cloud infrastructure companies like Snowflake and MongoDB, indicating a growing market confidence in AI-related firms.
See More
