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Snowflake Inc.

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One Platform.
Every Factory.
All Your Data.

Snowflake’s Manufacturing Data Cloud unifies IoT, ERP, MES, PLM, and supply chain data on a single platform — enabling India’s manufacturing GCCs to become global innovation hubs for data-driven manufacturing.

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Watch now: The AI Data Cloud for Manufacturing
⏱ 02:18

Why Snowflake for Manufacturing GCCs?

Accelerate automotive innovation from concept to customer with unified real-time data and AI

Drive IoT innovation and gain insights into manufacturing throughput with Industry 4.0 solutions

Enable partner data sharing and collaboration for end-to-end supply chain visibility

Scale AI-driven manufacturing and operational excellence to meet rising market demand

Modernize process industries with AI-driven operations and infrastructure optimization

Industry-Specific Solutions

 

Tailored for the unique data challenges of each manufacturing cluster

Automotive & EV Data
Breaking down data silos across multi-cloud environments and legacy systems to enable real-time visibility across the entire automotive value chain from development to after-sales

Industrial IoT & Smart Factory
Bridging the gap between operational technology (OT) and information technology (IT) to integrate IoT sensor data, SCADA systems, and enterprise platforms for real-time manufacturing intelligence

Supply Chain & Operations
Overcoming lack of visibility into supplier risks and complex global networks to predict disruptions and optimize inventory routing in real-time

Semiconductors & Electronics
Outcome-Linked ROI: Automatically track and report on the KPIs that matter to payers, ensuring you meet performance benchmarks every time.

Chemicals
Outcome-Linked ROI:Eliminating data silos across departments to enable comprehensive process optimization and data-driven decision-making for sustainable operations

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Leading manufacturers choose
Snowflake to mobilize their data
Toyota
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Devon
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Pitney Bowes
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ExxonMobil
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Solution

IT/OT/IoT Data Unification: Consolidate structured, semi-structured, and unstructured data from IoT sensors, SCADA systems, and enterprise platforms into a single governed platform.

Snowflake Marketplace: Access third-party industry data, benchmarks, and native applications to enrich internal manufacturing data with external context.

Secure Data Sharing: Enable zero-copy, real-time data sharing with suppliers and partners without duplicating or moving data while maintaining full control.

Data Clean Rooms: Collaborate securely with supply chain partners by combining proprietary and third-party data while keeping sensitive information private.

Streamlit in Snowflake: Build interactive AI-powered dashboards and applications directly on manufacturing data with 40% faster prototyping.

Cortex Code: AI coding agent that accelerates development by understanding enterprise data context and integrating with dbt, Git, SQL, Python, and Streamlit.

Multi-Cloud Architecture: Deploy across AWS, Azure, or Google Cloud with elastic scaling and pay-as-you-go pricing to handle petabyte-scale manufacturing data.

Marketplace Overview

Snowflake Intelligence

Snowflake for manufacturing

FREQUENTLY ASKED
QUESTIONS

Your top questions about getting started with Snowflake for manufacturing.


AI is used to converge IT and OT data across manufacturing operations, enabling predictive maintenance, quality inspection and demand forecasting through machine learning.

Cloud computing gives manufacturers secure, real-time access to their data, eliminating silos between plants, suppliers, and partners.

Manufacturers use data analytics to gain insights into production performance, equipment health and customer demand.

Examples include predictive maintenance, computer vision for defect detection, and AI-powered demand forecasting.

AI enables real-time quality monitoring, predictive alerts and adaptive scheduling tailored to production needs.

Use cases include yield optimization, end-to-end supply chain visibility, and analyzing sensor data for Industry 4.0.

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