Snowflake Marketplace Surges Past $100M

Snowflake's Marketplace has seen partners pull in over $100 million in gross bookings revenue in the first six months of 2026. This marks a substantial 277% year-over-year surge, according to the company. The real story, however, isn't just the revenue, but the innovative products customers are rapidly adopting.

Data providers, application developers, and AI startups are transforming proprietary data into monetizable products, including Snowflake Native Apps and trusted AI agents. These partners have successfully navigated the complexities of building and deploying solutions directly within the Snowflake ecosystem.

The Rise of Agentic AI on Snowflake

Snowflake Marketplace is evolving into a comprehensive ecosystem for data, AI applications, and agentic products, extending beyond traditional data sharing. While SQL, dashboards, and pipelines remain vital, a new layer of value is emerging. AI agents and copilots require trusted contextual data to function effectively.

For data providers, this presents a strategic opportunity to make their data and knowledge accessible to AI models under robust governance. This unlocks new use cases and fosters deeper customer engagement in the age of AI agents.

Snowflake aims to be the central control plane for the agentic enterprise, managing agents, enforcing governance, and translating intelligence into action. The Marketplace serves as the primary channel for delivering these data, model, and AI-ready products across organizational boundaries.

Enabling Effortless Agentic AI Offerings

Snowflake simplifies the process for partners to transform their data into AI-ready products. Data listings and shares can now be automatically converted into agents, requiring minimal manual development. Partners can attach these generated agents to their listings, offering customers conversational interfaces for natural language querying and data exploration without any data movement.

Companies like Equilar, Crunchbase, and Dun & Bradstreet are already leveraging this capability. Elizabeth Barrette, General Manager for Master Data Management at Dun & Bradstreet, noted that Snowflake Cortex Agents allow clients to query D&B's extensive data assets conversationally, all within their own secure data perimeter.

An Expanding Ecosystem

The marketplace's growth extends beyond AI agents to include Snowflake Native Apps and connected applications. Native Apps run securely within a customer's data environment, such as Sema4.ai's platform for building AI agents or Penguin AI's generative AI platform for automating healthcare workflows.

Connected apps, while operating externally, leverage data within the customer's environment. Sigma's app, for instance, offers a familiar spreadsheet interface alongside SQL and Python editors for building analyses and applications. dbt Labs provides its platform as a managed service, accelerating the deployment of AI-ready data pipelines.

Traditional data providers like S&P Global, FactSet, and Nasdaq continue to thrive, with over 42% of Snowflake customers engaging in stable data sharing relationships. This indicates deep, ongoing partnerships rather than one-off transactions.

The Snowflake Advantage

Snowflake Marketplace differentiates itself by minimizing data movement, enabling access in place with built-in governance and security. Its cross-cloud replication across AWS, Azure, and GCP allows for broad distribution from a single point of publication.

Enterprise-grade trust is inherent, with role-based access control and encryption as foundational features. The platform consolidates diverse offerings, including data, Native Apps, connected apps, Cortex Knowledge Extensions, and agents, into a single, unified location.

Taye Mohler, VP of Partnerships & Ecosystems at Dataiku, highlighted that the Marketplace is more than a procurement channel; it's a catalyst for accelerating AI adoption by connecting live data pipelines with trusted technologies.

Ultimately, Snowflake Marketplace functions as a comprehensive ecosystem, not merely a sales channel. It empowers customers to discover, procure, and enable end-to-end AI use cases, from raw data to sophisticated agents and applications, all managed under a unified billing and governance framework.

Snowflake is now focused on enhancing customer solution discovery and strengthening partner connectivity to further accelerate AI capabilities within the ecosystem.