Snowflake (SNOW): AI Data Platform Growth and Stock Potential

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This is only a record of my personal analysis and the contents may contain errors or information that differs from the actual situation. Please understand in advance when viewing this site.

Introduction.

Focusing on Snowflake (SNOW), one of the hottest big tech companies in the U.S., we will take a closer look at its business, service features and competitive advantages, and performance.

Snowflake in December 2022.FANG+ IndexThe attention to this issue was further heightened by the addition to the
As the use of big data becomes increasingly important with the evolution of AI, Snowflake is innovating the market with its unique cloud data platform and experiencing remarkable growth.

Please use this article to learn more about Snowflake's (SNOW) business, characteristics, future prospects, and future stock price outlook.

What company and what kind of business does Snowflake do?

• Snowflake (Snowflake: SNOW) is,A provider of cloud-based data warehousing services.
• Snowflake's main product, Data Cloud, is,Companies consolidate data and eliminate siloed information to solve their biggest business challenges.Help to
• Snowflake's platform centralizes data storage, processing, and analysis and allows these operations to be performed in a secure environment.
• Founded in 2012 by Benoit Dageville, Thierry Cruanes, and Marcin Zukowski.
• The company is headquartered in Bozeman, California.

What are Snowflake's (SNOW) main products and services?

• Snowflake's flagship product is the Snowflake Data Cloud, a cloud-based data platform.
• The platform provides a set of capabilities that enable data integration, analysis, sharing, and monetization.

The main features of Snowflake Data Cloud include the following services

data warehousing

A highly optimized cloud data warehouse designed to help companies efficiently store, query, and analyze large amounts of data.

Data Lake Integration

Companies can integrate their existing data lake into the Snowflake platform and leverage the information in the data lake for analysis and insight generation.

data sharing

Securely share data in real time between different organizations. This will strengthen partnerships and create new business opportunities.

Multi-Cloud & Cross-Cloud Capabilities

Snowflake runs on several major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This allows users the flexibility to build multi-cloud and cross-cloud environments.

Data Science and Machine Learning

Snowflake provides tools and integrations to support data science and machine learning projects. Users can easily perform predictive modeling and analysis based on data.

Snowflake Marketplace

A marketplace connecting data providers and data consumers. Users can purchase data sets and data services or sell their own data products through this platform.

These services from Snowflake provide powerful tools to help companies manage data more effectively and maximize its value.

Support data-driven decision making to accelerate business growth and innovation.

What are the features and strengths of the services Snowflake offers?

• Consolidate siloed data,Easy access to controlled and secure first, second and third party data.
• Provide speed, concurrency, and scalability to develop and run data applications, models, and pipelines where data resides.
• data, applications, and business communities wherever they may be,Seamless working and collaboration across multiple clouds.
• Acquire new customers and increase revenue by offering datasets, data services, tools, and applications on the Snowflake Marketplace.

To put it plainly, Snowflake has a special system that can take advantage of nearly unlimited cloud resources and handle important tasks automatically.
In this system,Various groups can share the same data and each can do the necessary work at the same time.

This mechanism allows organizations in all industries to leverage data to improve their strategies, products, and services.

Snowflake use cases include Novartis, a leading pharmaceutical company, and Morgan Stanley, a financial services firm, which leverage Snowflake to make data-driven decisions that drive business efficiency and innovation.

What is Snowflake's business model?

Snowflake's business model focuses on providing cloud-based data warehousing and analytics services.

Usage-based billing is used

At the heart of this model is a usage-based billing scheme.
In other words, customers pay only for the amount of computing resources (e.g., CPU time needed to execute queries and process data) and storage (disk space for data storage) they actually use.

By this method,Customers pay only for the resources they need, which can significantly improve cost efficiency.

What's so great about Snowflake?

Snowflake's innovation lies in its architecture, which completely separates the computing resources (compute) from the data storage area (storage).

By this design,Snowflake has the ability to process multiple tasks in parallel and efficiently, and this separation allows for fast and stable data processing without degrading system performance, even when accessed by many users simultaneously.

In addition, Snowflake employs a unique multi-cluster shared data architecture that allows flexible configuration of multiple compute clusters.
This feature contributes to efficient processing of a large number of simultaneous requests and prevents system delays and interruptions.

In addition, Snowflake makes the construction of a data warehouse (DWH) very flexible because it can allocate the necessary computing resources to each individual application while managing data centrally.

Such a design achieves a balance between centralized data management and efficient use of computational resources, and significantly improves performance and cost efficiency when dealing with large data sets.

These features of Snowflake are,It is particularly valuable in data-intensive applications, such as analyzing big data and training machine learning models, and plays an important role in the modern data-driven business environment.

Who is Snowflake's clientele?

Snowflake's clientele is very broad, ranging from small start-ups to large corporations and even public institutions.

This platform is valuable to any organization with a data-centric business operation.

Below are Snowflake's main customer segments.

• Leading companies:.Leading companies in a variety of industries, including finance, healthcare, retail, media, and technology, use Snowflake. These companies need to efficiently manage vast amounts of data, analyze it in real time, and extract insights.
• SMEs: Small and medium enterprisesSnowflake's usage-based billing model makes it an affordable data solution for SMBs. SMEs need to make data-driven decisions to accelerate growth.
• Startups:.Snowflake is a valuable resource for startups seeking to leverage data to grow rapidly and innovate in their markets. Startups need a data platform with scalability and flexibility.
• Government and Public Agencies:.Government agencies and public institutions are also using Snowflake to improve public data management and service delivery. These agencies need to leverage data for the public good while emphasizing data security and privacy.
• Data Scientists and Analysts:.Individual data scientists and analysts are also using Snowflake for advanced data analysis and machine learning model development. They want the flexibility and power needed to explore data and extract insights.

The capabilities offered by Snowflake are attractive to any organization seeking to leverage data as a strategic asset and optimize business processes.
As a result, Snowflake's clientele is very diverse, regardless of industry or organization size.

What is the trading market?

Snowflake is listed on the New York Stock Exchange (NYSE) and trades under the ticker symbol "SNOW."

What are the sectors, industries, and themes to which Snowflake (SNOW) belongs?

sector

• Technology: TechnologySnowflake is part of the technology industry, innovating in the field of data management and analytics by providing cloud-based services.

type of industry

• Cloud Computing:.Snowflake's platform is built entirely on the cloud, providing the functionality of a cloud data warehouse.
• Big Data & Data Analytics:.It has the ability to collect, store, process, and analyze large amounts of data, contributing to big data insight extraction.

Themes belonging to

• Data Driven Business:.It provides the infrastructure for companies to make data-driven decisions and helps them realize data-driven business models.
• AI (Artificial Intelligence) & Machine Learning:.It provides tools and integrations to support data science and machine learning projects and facilitates the use of AI.
• Multi-Cloud & Cross-Cloud:.It has the ability to provide services across multiple cloud providers, giving companies greater flexibility in creating multi-cloud environments.
• Security & Governance:. It has advanced features to protect data security and privacy and meets corporate compliance and governance requirements.

Snowflake plays a key role in these sectors, industries, and themes, leading innovation in the areas of cloud computing and big data.

When was Snowflake founded and listed?

Snowflake, founded in 2012 and listed on the New York Stock Exchange (NYSE) in September 2020, attracted a great deal of attention on its first day of public trading.

Snowflake's IPO (Initial Public Offering) was one of the largest software IPOs in history at the time and generated a high level of interest from the technology and investment communities.

Who is the founder of Snowflake?

Snowflake was founded by the following three individuals

• Benwat Daggett:.He was an expert in data warehouse optimization and execution planning at Oracle for over 20 years. His deep expertise was integral in shaping Snowflake's technical foundation.
• Thierry Coultin:.He, too, has many years of experience at Oracle, where he helped design and optimize a large data warehouse system. Kurtan shared Snowflake's vision and sought a new approach to enterprise data management.
• Marzen Zaharia:.During his studies at the University of Amsterdam, he worked on the development of column-oriented database technology. His research became the core of Snowflake's data processing technology.

Within just a few years of its founding, Snowflake became a force to be reckoned with in the fields of data warehousing and cloud computing.

Its success can be attributed to the founders' innovative ideas, deep understanding of cloud technology, and good timing in meeting market needs.

The 2020 listing is a testament to the widespread recognition of Snowflake's technology and vision, and the growth and innovation continues today.

Dividends?

Not implemented.

Snowflake (Snowflake) has not paid a dividend since its inception because it is a growth-stage company that is reinvesting profits to accelerate growth.

Like many technology and growth companies, Snowflake prioritizes reinvesting profits in business expansion, product development, and market growth.

Size and growth potential of the industry of which Snowflake is a part

Snowflake's industry spans the broad areas of cloud computing, big data, and data analytics.

These sectors have grown rapidly in recent years as drivers of digital transformation.

Below is an overview of the size and growth potential of these industries.

Cloud Computing Industry

• The global cloud computing market is worth hundreds of billions of dollars by the early 2020s.
  According to a market research firm,The compound annual growth rate (CAGR) between 2020 and 2025 is projected to be more than 151 TP3T.
• The accelerating migration of enterprises to the cloud, the spread of remote work, and the increasing reliance on advanced technologies such as AI and machine learning are driving market growth.

Big Data Industry

• The big data market is also growing rapidly in the 2020s and is estimated to be worth tens of billions of dollars as of 2020.
  Increased data generation in various industries, especially with the proliferation of AI, is supporting this growth.
• As the importance of data-driven decision making grows, the use of big data is becoming increasingly common. According to market research,The sector's average annual growth rate could reach more than 101 TP3T.

Data Analytics Industry

• The data analytics market is closely linked to the big data market, which is estimated to be worth tens of billions of dollars in the early 2020s.
• Demand for data analysis is expected to continue to grow as more companies seek more sophisticated insights.
  The industry is also expected to grow at an average annual rate of more than 101 TP3T over the next few years.

These industries in which Snowflake operates are expected to continue to experience strong growth. Companies like Snowflake have an excellent opportunity to capitalize on these trends to establish themselves in the market and achieve growth.

Who are Snowflake's competitors?

Snowflake (SNOW) operates in the area of cloud data platforms and has several competitors in this space. Snowflake's main competitors include large cloud service providers as well as specialized data management and analytics companies. Below are Snowflake's competitors and their ticker symbols.

Leading cloud service provider

• Amazon (AMZN):.Amazon Web Services (AWS) offers a wide range of cloud-based data warehousing and analytics services, including Amazon Redshift.
• Microsoft (MSFT):.Azure, provided by Microsoft, is a cloud platform that offers data management and analysis services such as Azure Synapse Analytics.
• Google (GOOGL):.Google Cloud Platform (GCP) offers powerful data warehousing and analysis tools such as BigQuery.

Specialized data management and analysis companies

• Oracle (ORCL): Oracle has long been a leader in the field of database management systems and also offers cloud-based data warehousing services.
• Teradata (TDC)): Teradata provides large-scale data warehousing technology and analytical solutions, specializing in big data analysis.
• Cloudera (CLDR):. Going private in 2021, Cloudera provides enterprise-grade data cloud, data engineering, and data warehousing services.

These companies, like Snowflake, offer a wide range of services in the areas of data storage, data management, and data analytics, competing for solutions to help companies leverage their data.

Differentiating factors and advantages over Snowflake competitors

Snowflake has several key differentiators and advantages in the cloud data platform market.

Among these, a key point of advantage that is a particular differentiator is the ability to support multi-cloud and cross-cloud computing.

• Snowflake.Flexibility to run on different cloud service platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform, etc.)This makes it easy to deploy and use regardless of the cloud environment used.
• Multi-cloud support refers to the ability to use multiple cloud services simultaneously, while cross-cloud refers to the ability to link data and applications between different cloud services.
• Snowflake supports both of these, allowing users to freely choose their cloud environment and move or share data as needed.

Simply put, Snowflake is an ultra-flexible data management tool that can be used in any cloud environment, and its innovative advantage is that it can smoothly exchange data between different cloud services, thus maximizing the use of data.

What impact will Snowflake have on the development of AI?

High-performance hardware (especially semiconductors), advanced software platforms, and large amounts of training data are essential in the development of AI.
These are the foundations for advancing AI technology and will largely determine the AI's ability to move forward.

As AI technology evolves and new AI solutions continue to emerge,Companies that have an abundance of data and can handle it efficiently are expected to have the upper hand in the competition.
Snowflakes are expected to play an important role in this regard.

Snowflake is,It is increasingly becoming a platform that flexibly manages large amounts of big data and provides the data needed to train AI models.

As AI technologies evolve, the flexibility of data management and analysis offered by platforms like Snowflake will become increasingly important in the development and implementation of AI solutions.

Below are specific impacts of AI developments on Snowflake.

Advanced data analysis

Advances in AI and machine learning (ML) models are enabling more complex and sophisticated data analysis. Snowflake supports these models and provides a platform for extracting insights from large data sets.

Creation of new use cases

Advances in AI technology will drive the development of new use cases such as predictive analytics, personalization, and automation. Snowflake can help companies innovate with AI by providing the data infrastructure needed for these new applications.

Efficient data management

Contribute to the automation of data cleansing, integration, and management processes as AI evolves, improving data quality and accessibility and facilitating the training and execution of AI models.

The development of AI presents significant opportunities for Snowflake, and to take full advantage of this, continuous innovation and adaptation is required to keep pace with the evolution of the technology.

How Snowflake responds to these challenges and integrates the evolution of AI technology into its business model will be a key factor in its future.

What are the risks associated with investing in Snowflake?

Investing in Snowflake (SNOW), as with any equity investment, requires attention to the following risks

Increased competition:.Snowflake competes with major cloud providers such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure, as well as other data warehouse and data analytics service providers, and competition will be very intense. If Snowflake is unable to continually innovate and maintain its competitive advantage, its market share and profitability could be adversely affected.

High valuations:.Snowflake's stock price may be trading at high valuations reflecting future growth expectations. Since high expectations are already factored into the stock price, there is a risk of a significant adjustment in the stock price if actual performance fails to meet investor expectations.

Sustainability of growth:.Snowflake is a rapidly growing company, but maintaining this growth rate can be a challenge in the future. Many factors are involved in continuing growth, including attracting new customers, increasing revenue from existing customers, and expanding into new markets.

Technical Risks and Security:.As a data platform, Snowflake is constantly exposed to the risk of technical failures and security breaches. A data breach or service interruption could undermine customer confidence and result in legal liability and financial loss.

These risks are not limited to Snowflake, but should be considered when investing in technology and growth companies in general. It is important to carefully evaluate these risks.

Snowflake's Achievements

Snowflake's financial year is January 31.

Quarterly results are announced four times throughout the financial year.

• First quarter results: Around the end of May
• Second quarter results: Around the end of August
• Third quarter financial results: Around the end of November
• Fourth quarter and full year results: Around the end of March of the following year

First, we will review the following four indicators to perform a minimum performance analysis of Snowflake.

1. Sales: An indicator of a company's performance and growth.
2. Operating Cash Flow and Operating Cash Flow Margin: Indicators that look at how much cash a company generates from its services. The margin is considered excellent when the ratio is 15%.
3. Operating Profit: Profit earned by a company from its core business. An indicator to evaluate a company's performance.
4. EPS: An indicator that looks at a company's earning power "profitability" and "growth potential" in terms of net income per share. The higher the number, the higher the earning power.

Each data is,Investing.com, ,TradingViewSee from

Snowflake (SNOW) Stock Price

View Snowflake's current real-time stock price chart (TradingView).

The chart shows the Relative Strength Index (RSI). Reference as an indicator of market overheating.

*An overbought indicator when the RSI exceeds 70% to 80%, and conversely, an oversold indicator when the RSI falls below 20% to 30%.

Snowflake Quarter: Sales Trends

Quarterly sales forecasts and actual sales and year-on-year changes.

Sales forecasts and actual results are shown in graphs.

Snowflake Quarter: Operating Cash Flow Trends

Quarterly operating cash flow and operating cash flow margin.

Each transition is shown in the graph below.

Snowflake Quarterly: Operating Income Trends

Quarterly operating income.

Each transition is shown in the graph below.

Snowflake Quarterly: EPS Trends

Quarterly EPS forecast and actual EPS.

Each transition is shown in the graph below.

Snowflake Full Year: Sales Trends

This is the sales forecast for the full year and actual sales and year-on-year changes.

Each transition is shown in the graph below.

Snowflake Full Year: Operating Cash Flow Trends

Operating cash flow for the full year and operating cash flow margin.

Each transition is shown in the graph below.

Snowflake Full Year: Operating Income Trends

Operating income for the full year.

Each transition is shown in the graph below.

Snowflake Full Year: EPS Changes

This is the EPS forecast and actual EPS for the full year.

Each transition is shown in the graph below.

What is the future life of Snowflake? What are the future developments?

Below are some points that suggest the future potential of Snowflake.

These are the factors that will influence Snowflake's future share price

Evolution of AI and Machine Learning

As AI and machine learning technologies continue to evolve, the demand for data analysis utilizing these technologies is also increasing. Snowflake's ability to efficiently process and manage the large volumes of data needed to train AI and machine learning models is expected to drive growth in this area.

Growth of a data-driven economy

As digital transformation and data-driven decision making become mainstream business practices, the demand for cloud data platforms like Snowflake is expected to increase.
Snowflake's services are becoming increasingly important as companies seek more efficient ways to collect, analyze, and utilize data.

Adoption of multi-cloud and cross-cloud strategies

As companies increasingly adopt multi-cloud and cross-cloud strategies, the value of platforms like Snowflake that can flexibly operate in multiple cloud environments will increase.
Snowflake is one of the few platforms that can address this need and could strengthen its position.

Expanding Ecosystem

Snowflake has a broad ecosystem of data providers, software developers, and business partners. As this ecosystem further matures and expands, Snowflake's platform will become more attractive to more users and strengthen its market position.

Continuous Innovation

Snowflake is aggressively expanding its capabilities as a cloud data platform and introducing new technologies, and this continuous innovation is what keeps Snowflake in a leading position in a highly competitive market.

Considering these factors, Snowflake's future prospects are very bright.

However, the future should be viewed with caution, as there are many unpredictable challenges in the future, including increased competition, technological evolution, and market fluctuations.

Snowflake (SNOW) Q2 FY2024 Financial Summary

Sales and Revenues

• Total Sales: $868.8 million, up 29% from the same period last year.
• Product SalesProduct sales, the mainstay of Snowflake's growth, showed solid growth.
• gross margin ratio: 67% on a GAAP basis and 73% on a Non-GAAP basis, indicating high profitability.

Customers and Growth Indicators

• Net Revenue Retention Rate: 127%, indicating stable growth in revenue from existing customers.
• customer base: Expanded global clientele, including more than 1,200 Fortune 500 companies. Significant growth in the number of large clients with annual sales exceeding $10 million.

Cash Flow

• Operating Cash Flow: $69.9 million positive, up 8% from the same period last year. Free cash flow was $58.8 million, with a cash flow margin of 7%.

Major Growth Factors

• Increased demand for AI and data cloud: Snowflake's data cloud solutions are favored as an indispensable foundation for companies' use of AI, and demand is increasing, especially in the management and analysis of large data sets.
• Early Adoption of AI Product Suite: New AI-enabled products have seen initial success in the marketplace and the use of AI and machine learning tools within the Snowflake platform is expanding.

Future Guidance

• 3Q Product Sales Forecast: Expected in the range of $850 million to $855 million, with a projected 22% growth over the previous year.
• FY2025 Full-Year Forecast: Product sales are projected at $3.356 billion, a growth of 26% over the previous year.
• Stock Repurchase Program: An additional $2.5 billion worth of share repurchases has been approved and will be implemented through 2027.

Snowflake plans to strengthen its AI data cloud leadership and continue to provide solutions for data-driven business transformation.

Snowflake (SNOW) Q1 FY2024 Financial Summary

Sales and Revenues

• Net sales: Total revenue was $828.7 million, up 33% YoY. Growth was supported primarily by increased demand for AI data clouds.
• Product Sales: $789.6 million, up 34% from the same period last year. It accounts for about 95% of total sales, reflecting the high demand for the platform.
• gross margin ratio: Maintains a high gross margin of 67% on a GAAP basis and 74% on a Non-GAAP basis.

Customer Growth and Performance

• Customers over $100 million: The number of clients with product sales exceeding $100 million in the past 12 months has increased to 485.
• Relationships with Forbes Global 2000 companies: Approximately 709 clients are included in Forbes Global 2000, a 30% increase over the same period last year.

Cash Flow

• Operating Cash Flow: $355.5 million positive, up 43% from the same period last year. Free cash flow was $331.5 million, with a cash flow margin of 40%.

Strategic Initiatives

• Enhanced AI support: Announced the acquisition of technology from TruEra, an AI observation platform, and the hiring of key employees. This is planned to further enhance the performance and efficiency of the AI model.
• Generative AI and Cloud Integration: Snowflake's AI-enabled cloud offers new possibilities for AI applications in a variety of industries.

Future Guidance

• 2nd Quarter Forecast: Product sales are expected to range from $805 million to $810 million, a 26%-27% increase over the same period last year.
• FY2025 Full-Year Forecast: Product sales are targeted at $3.3 billion, with an expected growth of 24% over the previous year.

Snowflake plans to maintain its leadership in AI data clouds and continue to focus on strengthening its AI and cloud-based solution offerings.

Snowflake (SNOW) Q4 2023 and Full Year Financial Summary

• Q4 ResultsQ4 product sales maintained a growth rate of 331 TP3T and a strong Net Revenue Retention (NRR) of 1311 TP3T. The number of large customers increased from 436 to 461, and gross margin remained high at 78%.
• Non-GAAP Adjusted Free Cash Flows: (Millions of yen) It reached $324.3M for the full year 2023, an increase of $42% over the previous year. This indicates that Snowflake's cash generation capacity is improving.
• Non-GAAP Net Income:.For the full year 2023, the company recorded $127.97 million, a significant increase over the previous year.
• CEO Changeover:.Snowflake announced a change in CEO. The new CEO is Ramaswamy, who was in charge of advertising products at Google and is well versed in AI. This can be interpreted as a trend for Snowflake to focus more on AI.

financial outlook

• Product revenue growthThe product revenue forecast for the first quarter of 2025 is $745 million to $750 million, with projected growth of $26% to $27%.
• Free Cash Flows: (Millions of yen)The company recorded $848.1 million for the full year 2023, an increase of 301 TP3T over the previous year.

Soundness of the company

• Assets As of January 31, 2024, Snowflake's total assets reached $8,223.4 million, up from the previous year.
• Shareholder ValueNon-GAAP net income per share was recorded at $0.98 for the full year 2023.

Implications for Investors

Snowflake's earnings report indicates that the company is on a sustainable growth trajectory and that cash flow and profitability are improving. Increased free cash flow is an important indicator of a company's financial health and sustainability of growth.

On the other hand, product sales guidance did not meet market expectations, and this could lead to a decline in the stock price. Snowflake typically provides guidance in terms of product sales, and the forecast is for lower growth compared to last year.

Snowflake (SNOW) Q3 FY2023 Financial Summary

• Product revenue in the third quarter reached $698 million, a growth of 341 TP3T over the same period last year. This growth rate indicates strong demand for snowflakes.
• Non-GAAP adjusted free cash flow was $111 million, a growth of 701 TP3T over the same period last year. This indicates that Snowflake's profitability and cash generation capabilities are improving.

earnings estimates (forecast, outlook, projection)

• Fourth quarter product revenues are projected to be between $716 million and $721 million, with growth of 29% to 30%.
• Overall FY2024 product revenue is projected to be $2.65 billion, with an annual growth rate of 37%. Gross product margins are projected at 771 TP3T, operating margins at 71 TP3T, and adjusted free cash flow growth at 271 TP3T.

Management's Comments

The third quarter results reflect strong execution in a broadly stable macroeconomic environment," said Frank Slotman, Chairman and CEO of Snowflake. This demonstrates that Snowflake continues to grow steadily despite market volatility.

The financial results indicate that Snowflake is on a sustainable growth trajectory and remains competitive in the market. Solid product revenue growth, strong non-GAAP adjusted free cash flow growth, and an upbeat financial outlook are positive signals for investors.

What brokerage firms can I buy shares of Snowflake (SNOW)?

The following is a list of major brokerages that offer shares of Snowflake (SNOW). At these brokerages, you can choose to invest as a CFD (Contract for Difference) as well as directly as a foreign stock.

I myself mainly use SBI Securities, but some stocks they handle may not be available for purchase. In such cases, I sometimes use CFDs at Saxo Bank Securities or IG Securities.

summary

We have taken a closer look at Snowflake (SNOW), its business, characteristics, competitive advantages, and performance growth.

Performance data indicate that Snowflake continues to grow steadily in performance and expectations for the future are increasing.

Snowflake has solidified its position as a pioneer in leading the way to a data-driven future.

FANG+ Indexto the "Snowflake" and its unique cloud data platform in the age of AI and Big Data show that Snowflake is not just a one-time phenomenon, but a company with long-term growth potential.

For AI to be successful, large amounts of data (big data) are essential for it to function properly.

It can be said that in the future, the firms with the available data will win the competition.

For those companies, there is no doubt that a platform like Snowflake that can manage and operate data flexibly and efficiently will become increasingly necessary.