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Reimagine Manufacturing & Automotive for...
|Global manufacturers and automotive companies are boosting efficiency and customer engagement with data streaming. See how they’re reimagining development and production processes.
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Concepts, Use Cases, Industry Stories: The Ultimate Data Streaming Guide
Written by Confluent Field CTO Kai Waehner, this book showcases real-world success stories that highlight the power of data streaming and event-driven architectures. With a dedicated chapter on automotive and manufacturing use cases, it offers practical insights for unifying operational and analytical data to build real-time, reliable data products that drive industry innovation.
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Unlocking the Edge: Data Streaming Goes Where You Go with Confluent
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Set Your SAP Data in Motion: Common ERP Data Streaming Use Cases
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Leveraging Data Streaming to Reinvent BMW Group’s Omnichannel Sales Journey
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The Data Streaming Use Case Show: Manufacturing & Automotive
What happens when advanced technology meets real-world challenges in manufacturing and automotive? The result—driven by data streaming—is powerful. Check out the new on-demand show, featuring real-life use cases from Siemens and Siemens Healthineers and the most common trends in the industry.
Siemens Harnesses the Power of a Data Streaming Platform
A conversation with guest speakers Forrester, Siemens, and AWS on how data streaming platforms are the key to turning your data mess of batch-oriented, point-to-point connections into a truly integrated architecture that unlocks instant data value, everywhere.
Building a Scalable Real-Time Fleet Management IoT Data Tracker at Daimler Trucks
At Kafka Summit London 2024, Daimler Trucks shared key optimizations to both Kafka topology and cluster, specifically aimed at reducing network overhead and controlling changelog size. These optimizations not only ensured resource efficiency but also enhanced fault tolerance and rapid startups.
Bridging the Data Divide: How Confluent and Databricks Are Unlocking Real-Time AI
The key to making AI truly operational is real-time, trusted data products. Read now, Learn how the Confluent and Databricks partnership enables enterprises in manufacturing and beyond to fully operationalize AI.
Customer Stories
Live on Stage with Siemens & Brose: Unlocking the Potential of Industry 4.0 and IIoT
Hear directly from industry leaders at Siemens and Brose as they share their journeys toward adopting data streaming solutions and migrating to the cloud. This webinar will discuss key trends that are redefining Industrial IoT (IIoT) practices and unlocking new opportunities for businesses.
Michelin’s Evolution to Cloud-Native Microservices and Data Streaming
Michelin needed a better way to modernize their operations by accessing real-time inventory data to remove these blockers across their entire supply chain. This is why they chose Apache Kafka®, the de facto standard for data streaming, for their new event-driven architecture and partnered with Confluent.
Data Streaming in Real Life: Manufacturing—An Overview
Kai Waehner, Global Field CTO at Confluent, shares the basics on use cases from Confluent customers in the manufacturing industry. Learn why so many global manufacturers leverage data streaming for OT and IT data to achieve end-to-end visibility into their OEM supply chains.
To drive innovation, BMW turned to Confluent for a scalable, real-time data streaming platform to manage its vast IoT data estate from manufacturing and R&D, alleviating the burden of self-managing Apache Kafka to enable seamless, real-time access for operational and development teams.
“Confluent plays an integral role in accelerating our journey to becoming a data-first and digital business…We use Confluent Cloud as an essential piece of our data infrastructure to unlock data and stream it in real time.”
“With Confluent, we have a data streaming platform that’s been quick to set up, where configuration is automated, and with zero maintenance tasks so we can focus on processing logic.”
Although Siemens first addressed its need for real-time data with open source Apache Kafka, the team knew they needed Confluent to take their strategy to the next level. “We had this Siemens cloud-first strategy, which we needed to take into consideration… We did a total cost of ownership analysis, and the result was that the Confluent Cloud had the best cost-benefit ratio for us.”
"Engaging Confluent gave us the peace of mind that comes with minimizing downtime and knowing that our Kafka systems are in the hands of one of the industry’s leading data-in-motion experts."
Deutsche Bahn uses the Confluent data streaming platform in its on-premises environments to provide travel information to passengers faster than ever. To date, it’s reduced its data processing time by 90%, down from 20 to 2 minutes.
Unlimited Use Cases for Manufacturing & Automotive
By leveraging data streaming, manufacturing and automotive companies are monitoring and maintaining their equipment on the shop floor, improving overall equipment effectiveness (OEE) and enable more efficient operations—all to modernize IT infrastructure and reduce costs. Explore data streaming architectures for use cases like predictive maintenance, real-time trucking analytics, and real-time anomaly detection and see how you can enhance operational efficiency and customer satisfaction.
Intelligent Manufacturing
Predictive Maintenance
Real-Time Trucking Analytics
Enhanced System Operations
Optimize Freight Logistics
Real-Time Anomaly Detection
Witness the impact of industrial IoT and digitalized B2B relations on data streaming, featuring real-life use cases from BMW, Mercedes, and Siemens. Learn how data streaming helps modernize and innovate the entire engineering and sales lifecycle.
Watch this video to explore three manufacturing use cases that companies like BMW Group are using to build smart factories. You'll learn how using data streaming to connect factory data with IT systems like ERP or cloud data warehouses allows manufacturers to reduce production costs and risks, such as predicting machine failures and taking proactive actions before issues arise.
By decoupling data systems, companies can enable batch and real-time data ingestion, build new applications, and support projects like moving SAP systems to the cloud. Watch as Kai Waehner, Global Field CTO at Confluent, explains how SIEMENS uses Kafka for decoupled integration between CRM data in the cloud and legacy ERP data on-premise to drive revenue growth.
Upcoming Data Streaming Events
Get Early Access to Current 2026
April 22, 2026 | JW Marriott Bengaluru Prestige
The best minds in data are coming together at Current Bengaluru—you won’t want to miss it. Get insights from leading data streaming experts, discover real-world use cases, and connect with peers solving similar challenges across industries.
The Data Streaming World Tour
Americas, EMEA & APAC
This conference series includes interactive demonstrations and hands-on labs with Confluent's team of real-time data experts, panel discussions with our customers, and networking opportunities with industry peers and ecosystem partners. Check out our 2026 calendar and find a location close to you.
2026 Confluent AI Predictions
Virtual Webinar
This online talk is for CTOs, CIOs & IT leaders at the forefront of AI strategy. Join industry experts for a deep dive into the most critical insights from the 2026 Confluent Predictions Report and learn how to translate them into next-step architectural strategies your organization can act on today.
Migration to Cloud-Native Kafka Has Never Been Easier
The Confluent Migration Accelerator enables a seamless transition from any version of Apache Kafka® or traditional messaging systems to Confluent. We give you exclusive access to our resources from our partner ecosystem, and tailored migration offerings, to make migrations a breeze. Qualified opportunities can also receive funding for migrations.