WEBINAR
Accelerate AI Strategy for Manufacturing
Discover how organizations can use AI to drive business value.
Industry Solutions
AI Data Cloud forManufacturing
The AI Data Cloud for Manufacturing helps manufacturers converge IT and OT data faster, deploy AI/ML and securely share data across the value chain to drive cost efficiencies and improve cycle time and yield.
Leading manufacturers choose Snowflake to mobilize their data
Overview
Unlock your potential with data and AI
Manufacturing organizations around the world are simplifying access to their operational data, enabling secure collaboration, powering advanced machine learning and analytics, and deploying intelligent AI applications with Snowflake.
Easily deploy data and AI across your organization
Streamline operations and save time with one fully managed platform. Integrated across your different data types and clouds, it helps simplify complex workflows, power business-critical use cases and uncover new commercial strategies.
Connect the manufacturing ecosystem
A diverse ecosystem of equipment manufacturers, software providers, logistics partners, and top data and solutions providers allows you to seamlessly share and use data so you can optimize factory floor network performance, improve employee and machine experiences, and more effectively monetize new services.
Govern and protect data with industry-leading security
Secure and govern your data with best-in-class security and data protocols, and use AI and large language models within your existing security framework. With built-in policies, access controls and end-to-end observability, you can innovate with confidence, knowing your data is protected.
Solutions
Power Your Data with Snowflake
Streamline workflows
Improve supply chain resilience and performance with AI and unified data
Combine internal supply chain data with live market and weather data from Snowflake Marketplace. Apply AI to predict and mitigate disruptions, enabling secure, real-time collaboration with all your supply chain partners.
Build for the future
Integrate OT, IoT and IT data to unlock Industry 4.0
- Get a comprehensive view of your operations by bringing shop floor and device data into one platform.
Use AI to analyze production processes in near real time, boosting efficiency and accelerating your Industry 4.0 initiatives.
Grow your business
Monetize streaming data and optimize connected product performance
Use a secure platform to analyze large volumes of connected product data in near real-time. Optimize performance, enhance user experiences and drive innovation by increasing visibility into product performance post-sales and even enable upstream quality improvements.
CUSTOMERS
Leading companies lead with Snowflake
Honeywell Improves Its Supply Chain and Manufacturing Processes with the AI Data Cloud
Honeywell transformed its supply chain by consolidating disparate data warehouses with Snowflake. It leverages a single source of truth for near real-time insights, optimizing inventory, matching supply with demand and navigating market disruptions.
- 55k suppliers included in an inflation index model
- 3.5M SKUs managed in Snowflake to monitor inflation and manage pricing
EDF Builds an Intelligent Customer Engine on the Snowflake Data Cloud
EDF built its Intelligent Customer Engine on Snowflake, reducing model deployment time from months to weeks. This empowered them to develop new data products 4x faster, delivering insights that improve energy efficiency.
- 4x More data products projected per year
- 2 Months to build a new Intelligent Customer Engine
ABB Unifies Data from 40 ERPs and Enables Millions of Dollars in Savings and Growth
By unifying its complex data landscape, including 40 ERP systems, with Snowflake, automation leader ABB created a single source of truth for decision-making. This unlocked powerful analytics that transformed its supply chain and pricing strategies, resulting in revenue growth and savings.
- $200M+ Annual inventory savings improved by analytics
- $900M Revenue growth influenced by pricing optimization
Cisco Optimizes Performance on Snowflake to Reduce Costs by 15%
Cisco fine-tuned its Snowflake environment to maximize performance and efficiency. By optimizing caching and warehouse sizing, Cisco accelerated transformation jobs and reports while lowering data platform costs.
- 10x Performance improvement on transformation jobs
- 4x Faster average report execution
Manufacturing Sub-Verticals
Use Case Spotlight
Optimize supply chain
Powe smart manufacturing
Generate value from connected products
Build resilience in your manufacturing supply chain with data
Learn how data can help you quickly recover from problems and gain more control over your supply chain.
8 ways manufacturers improve supply chain resilience and gain efficiency with the AI Data Cloud
Find out how Snowflake customers are optimizing product performance through access to high-volume, connected (IoT) data and service history.
Supply chain live demo: AI agents and the new era for supply chain optimization
Transform your supply chain with Snowflake’s agentic AI capabilities. Eliminate silos, democratize data access and deliver actionable insights directly to your business teams.
Data Trends 2025: Manufacturing
Learn how industry leaders are realizing the benefits of Industry 4.0 with the Snowflake AI Data Cloud.
Driving predictive maintenance and anomaly detection in manufacturing with data collaboration
Learn how manufacturers bring operational technology and information technology data together.
Embrace the next Industrial Revolution with the Snowflake AI Data Cloud for Manufacturing
By exploring common industrial use cases our customers want to solve, we show how you can use the Snowflake platform for Industry 4.0.
Generate value from connected product data with Snowflake
Unlock new opportunities with the Snowflake Manufacturing Data Cloud.
Where data meets the road: How Snowflake is driving the future of automotive innovation
Cars today are software-defined, cloud-connected and increasingly autonomous. Learn how Snowflake can help the auto industry.
The AI tipping point: What manufacturing leaders need to know for 2025 and beyond
Explore how AI adoption and regulatory challenges will affect manufacturing in the years to come.
SNOWFLAKE PARTNER NETWORK
Extensive Expertise from a Global Partner Network
Tap into our partner ecosystem for the services and solutions needed to unlock the full value of Snowflake.
Resources
Explore more inManufacturing
Get Started
Take the next stepwith Snowflake
Start your 30-day free Snowflake trial today
- $400 in free usage to start
- Immediate access to the AI Data Cloud
- Enable your most critical data workloads
Snowflake for manufacturing
Frequently Asked Questions
Your top questions about getting started with Snowflake for manufacturing.
How is artificial intelligence applied to manufacturing?
AI is used to converge IT and OT data across manufacturing operations, enabling predictive maintenance, quality inspection and demand forecasting through machine learning. With Snowflake, organizations can deploy AI/ML workflows directly on their unified data platform, powering Industry 4.0 initiatives with real-time insights and advanced analytics.
How does cloud computing benefit the manufacturing industry?
Cloud computing gives manufacturers secure, real-time access to their data, eliminating silos between plants, suppliers, and partners. It supports scalability, cost efficiency, and collaboration while enabling advanced analytics and AI applications to drive innovation. Snowflake’s AI Data Cloud ensures manufacturers can access, analyze, and share data in near real time, enabling agile decision-making and seamless ecosystem-wide collaboration across clouds and regions.
How is data analytics used in manufacturing?
Manufacturers use data analytics to gain insights into production performance, equipment health and customer demand. Analytics enables predictive maintenance, process optimization and more accurate forecasting, helping organizations cut costs and improve supply chain efficiency.
What are some examples of AI in manufacturing?
Examples include predictive maintenance to reduce equipment downtime, computer vision systems for defect detection and AI-powered demand forecasting. Manufacturers also apply AI for supply chain optimization, workforce planning and energy efficiency.
How is AI utilized in production processes?
AI enables real-time quality monitoring, predictive alerts and adaptive scheduling tailored to production needs. These capabilities increase throughput, reduce waste and ensure consistent product quality.
What are big data use cases in manufacturing?
Big data use cases in manufacturing include predictive maintenance, yield optimization, supply chain visibility and product innovation. By analyzing massive datasets from sensors, machines and customer interactions, manufacturers gain a competitive edge through faster, smarter decisions.
