Snowflake Named Top-Tier Software Vendor by APPS RUN THE WORLD in the APPS TOP 500 Market Report

Snowflake Strengths, Domain Expertise, and Key Differentiators

Snowflake is transitioning towards a more distributed infrastructure model while concurrently facilitating the consolidation and analysis of enterprise data in a cohesive and standardized manner. This shift in the enterprise data landscape has spurred increased interest in Data Warehouse as a Service (DWaaS) offerings, exemplified by Snowflake's cloud service. The integration of disparate data sources, traditionally isolated in data silos, enables the perception of a unified data warehouse or data lake. Consequently, this methodology empowers organizations to harness a more extensive range of enterprise data for comprehensive production data analysis. The result is a more rapid and agile generation of meaningful insights for business outcomes, surpassing the efficiency of legacy data warehouse solutions.

Snowflake Recent Developments

In 2024, Snowflake, announced its growing presence in the Middle East with the establishment of a new regional headquarters (RHQ) in Riyadh, Saudi Arabia, and general availability on Google Cloud in the Kingdom of Saudi Arabia, to better meet the Kingdom’s data residency and sovereignty requirements so that data can reside within the country’s borders. Snowflake ,the AI Data Cloud company, is expected to continue its rapid pace of innovation and strategic expansion, building on recent moves that underscore its commitment to global growth and AI-driven enterprise transformation

Snowflake is a cloud-based data warehouse service (DWaaS) that supports database access via the SQL query language. The platform is designed to enable organizations to store and analyze vast amounts of data in a secure and efficient manner. Snowflake allows users to run powerful SQL queries on structured and semi-structured data, facilitating data-driven decision-making. This combines traditional SQL language queries with new semi-structured database resources, speeding data analytics and time-to-results. A young company, Snowflake has ambitions to grow from $554 million in annual revenue to $10 billion in a few years.

Snowflake Mergers and Acquisitions (M&A) Activities

In 2024, Snowflake the AI Data Cloud company acquired Datavolo, the company built to rapidly accelerate the creation, management, and observability of multimodal data pipelines for enterprise AI. With this acquisition, Snowflake will deepen its service in the ‘bronze layer’ of the data lifecycle and will deliver a simple way for data engineering teams to integrate all of their enterprise systems with Snowflake’s unified platform, where they can then unlock data for AI and ML, apps and analytics, and leverage the scale, performance, and built-in governance of the AI Data Cloud.

Snowflake Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Snowflake applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Snowflake and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Snowflake Platform customers.

Snowflake Key Enterprise and Cloud Applications

Snowflake Platform

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Snowflake Direct vs Indirect sales

Snowflake Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified Snowflake Customers

No. of Snowflake Customers: 11159

No. of Snowflake Enterprise Applications Customers: 11159

No. of Snowflake Cloud Customers: x

No. of Snowflake Cloud Subscribers: x

The Snowflake platform boasts global adoption, serving a diverse range of industries and organizations. The total number of customers has 11,159. Snowflake's Data Cloud customer roster includes industry leaders such as Allianz, Anthem Health Services, DoorDash, JetBlue, Kraft/Heinz, McKesson, and Western Union. These entities reflect a broader trend of consolidating databases for advanced analytics.

Snowflake Market Opportunities, M&A and Geo Expansions

In 2025, Snowflake announced that it is deepening its investments in AI innovation by opening the Silicon Valley AI Hub, a home for developers, startups and business leaders to learn, deepen relationships, and shape the future of AI, is poised to accelerate its innovation agenda through strategic initiatives aimed at solidifying its leadership in enterprise AI. Among its anticipated developments is the continued rollout of dedicated AI hubs—physical innovation centers designed to foster collaboration among developers, startups, and enterprise leaders. These hubs, starting with the recently announced Silicon Valley AI Hub, will serve as incubators for cutting-edge AI applications, multimodal data development, and ecosystem partnerships. In tandem, Snowflake is expected to enhance its platform’s native support for generative AI and machine learning workloads, further integrating advanced model deployment, vector search, and unstructured data capabilities.

Snowflake Risks and Challenges

In 2025, Snowflake announced Mike Gannon as its new Chief Revenue Officer faces several potential risks as it navigates its next phase of growth in the highly competitive AI and data cloud market. As the company continues to expand through acquisitions and platform innovation, integration complexity and execution risk could pose significant challenges—particularly in maintaining a cohesive product vision and customer experience.

The competitive landscape within this market segment is intensifying.. Snowflake, which went public via an IPO in 2020, contends with rival cloud-based data warehouse solutions, such as those offered by Redis Labs, AWS, Cloudian, and Teradata. Notably, Snowflake's multi-cloud strategy places it in a dynamic position of co-opetition with major cloud service providers (CSPs) like AWS, Microsoft Azure, and Google Cloud Platform. While these CSPs are strategic partners for cloud services, each of them also provides its own Data Warehouse as a Service (DWaaS) offerings, further accentuating the complex competitive dynamics.

Snowflake Ecosystem, Partners, Resellers and SI

In 2025, Snowflake is strategically expanding its ecosystem to become the trusted foundation for enterprise AI innovation by deepening its integrations with Microsoft and leading AI model providers. The partnership with Microsoft brings OpenAI’s state-of-the-art models into Snowflake Cortex AI via Azure OpenAI Service, allowing businesses to build secure, real-time, multimodal data agents within Snowflake’s governed environment. These capabilities are further extended into Microsoft 365 Copilot and Teams, enabling users to query Snowflake data in natural language directly within their daily productivity tools.

In 2025, integration of Snowflake Cortex Analyst into Glean represents a significant step toward democratizing access to trusted, real-time insights across organizations. By enabling business users to query structured data with natural language and receive governed, high-quality responses within their daily tools, Snowflake is driving a new paradigm of data accessibility and operational intelligence. This partnership underscores Snowflake’s broader vision of creating a robust ecosystem where data agents seamlessly connect decision-makers to enterprise-grade analytics—accelerating time to insight and amplifying the value of data investments across industries.

Snowflake operates a global partner program encompassing over 50 companies worldwide. This program is structured into distinct categories, comprising cloud partners, services partners, technology partners, and data providers.

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.

Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).

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