Snowflake has sharpened its AI Data Cloud for Manufacturing with automotive-specific solutions and partner integrations, reporting strong platform momentum — including large percentage gains in analytics, data science and collaboration projects — and claiming adoption by 80% of major OEMs, according to company and partner announcements.

Snowflake has refined its AI Data Cloud for Manufacturing with a concentrated push into automotive-specific solutions, and the company highlights notable momentum in manufacturing use since April 2023. According to Snowflake, its internal metrics show a 416% increase in Data Application and Data Collaboration initiatives, a 185% rise in analytics deployments, and a 188% growth in Data Science solutions; Snowflake attributes those figures to its own platform activity. Snowflake also states that 80% of major automotive OEMs rely on its platform for data and AI initiatives. Snowflake lists customers such as CarMax, Cox Automotive, Nissan and Penske Logistics as users of its platform for connected-vehicle insights, real-time data sharing, and secure collaboration (source: Snowflake / BizpreneurME).

Snowflake positions the automotive push as a response to four industry trends—connected and software-defined vehicles, autonomous driving, electrification and Industry 4.0—that generate large volumes of data across development, manufacturing, supply chain and after-sales. The vendor says its capabilities for data sharing, AI/ML and partner-provided solutions aim to help OEMs, suppliers, distributors and service providers collaborate across the vehicle lifecycle (sources: BizpreneurME; Automation World).

Automation World highlights IT/OT/IoT convergence as a key benefit and cites Toyota Europe’s data integration as an example of how such convergence is being used in practice; where mentioned, this article references Automation World for that example rather than generalizing beyond the source. TechTarget notes that Snowflake’s industry-specific effort began in 2021 and that the manufacturing-focused offering has been generally available since 2023; this timeline is retained here (source: TechTarget).

Snowflake emphasizes its partner ecosystem and Snowflake Marketplace as channels for integrating third-party data—such as EV charging information, dealer insights and consumer behaviour—while maintaining governance and privacy controls. The article references partner announcements from Sigma Computing and LTIMindtree for concrete examples of collaborations: Sigma describes streaming OT data from the factory floor into Snowflake and enabling KPI-driven analytics without pre-aggregation; LTIMindtree describes a Manufacturing NxT automotive offering built on Snowflake to unify OT and IT data for asset performance, predictive insights and faster root-cause analysis with prebuilt connectors and low-code deployment. These partner descriptions are attributed to their respective releases (sources: Sigma announcement; LTIMindtree release).

On Siemens, Snowflake’s customer page explains that Siemens uses the Snowflake Data Cloud to connect data across thousands of users and ERP systems and highlights concepts such as a data mesh approach, Snowflake Cortex AI and container services as elements of their joint work. This article attributes those points to the Snowflake/Siemens material and does not add technical claims beyond what the source states (source: Snowflake customer page).

Where the original sources make positioning or forward-looking claims, this article retains attribution: Snowflake positions its platform as enabling secure data unification, analytics and potential data monetisation via Snowflake Marketplace, and it frames partner integrations as supporting automotive-specific use cases. Statements that present outcomes—such as a more connected, data-driven value chain or reduced silos—are described as Snowflake’s positioning or as suggested by partner announcements (Sigma; LTIMindtree), rather than asserted as independently verified industry-wide results.

For automotive aftermarket participants, the sources cited indicate potential benefits such as improved visibility into vehicle telemetry and supply-chain signals that could support faster decision cycles, predictive maintenance planning and data-product monetisation via marketplace listings; these potential benefits are presented in line with vendor and partner statements rather than as independently confirmed outcomes (sources: BizpreneurME; Automation World; Sigma; LTIMindtree).

In summary, Snowflake’s communications and partner announcements portray an expanding, automotive-focused iteration of its AI Data Cloud for Manufacturing—building on an industry-specific approach initiated in 2021 and generally available for manufacturing since 2023—and emphasize platform growth metrics and partner-led solutions as evidence of customer momentum. Percentage growth figures and the “80% of major automotive OEMs” statistic are reported here as Snowflake’s claims, and specific partner and customer examples are attributed to the original source materials (BizpreneurME; Automation World; TechTarget; Sigma; LTIMindtree; Snowflake customer page).

Source: Noah Wire Services