How AWS is Transforming Manufacturing: Key Takeaways and Insights from Hannover Messe 2025

Hannover Messe 2025 hosted 127,000 visitors, 4,000 exhibitors, 1,600 speakers, and over 1 million online visitors over the week of March 31st to April 4th in Hannover, Germany. The show facilitated great discussions between industry-leading companies and global manufacturers discussing how generative artificial intelligence (AI), automation, digitalization, and electrification are powering industrial innovation.

Once again, AWS had a significant presence at the event enabling them to connect with customers, partners, sponsors, and attendees who were exploring the latest industrial technologies including generative AI, machine learning, Internet of Things (IoT), and data analytics. The AWS booth showcased theatre speaking sessions and demonstrations showing how these technologies can help address top manufacturing areas of focus like speeding engineering efforts, optimizing operations, helping identify potential new revenue streams through smart products and services, and enabling more sustainable operations.

Key Announcements

AWS collaborated with a number of partners at the show for some exciting new announcements, including:

• 3M Digital Materials Hub transforms material data access with AWS. 3M Digital Materials Hub is a platform that provides easy access to verified 3M material data cards, modeling data, and product specifications that allows engineers to innovate faster and reduce design costs. Powered by AWS, this latest offering helps you accelerate commercialization, reduce development costs, and speed up the product design process helping make faster decisions to expedite modeling and simulation, and improve confidence in material selection.
• Rockwell Automation and AWS announce strategic collaboration. This strategic collaboration brings advanced cloud-enabled industrial automation solutions to manufacturers by combining Rockwell’s operational technology (OT) with AWS’s advanced cloud services and global infrastructure. This combination will equip manufacturers with scalable, secure, and flexible cloud solutions that help optimize asset performance, increase operational visibility, and deliver actionable insights from raw data. AWS joined the Rockwell Automation PartnerNetwork™, and Rockwell is expanding its FactoryTalk® Hub to AWS, making its DataMosaix™ industrial DataOps solution and Fiix® computerized maintenance management system (CMMS) available in the AWS Marketplace, with additional FactoryTalk Hub solutions to come later this year.
• ABB announces scalable energy management system powered by AWS IoT Solutions. ABB now offers a new, flexible energy management solution powered by AWS that centralizes and proactively manages multi-site energy consumption for building and property management. The solution enables remote, user-friendly energy management, maximizing energy and time savings while reducing costs with real-time monitoring, automated load management, and customizable dashboards.
• Composabl announces Industrial AI Intelligent multi-Agent platform built on AWS. This new offering empowers engineers to create AI agents and agentic systems for complex industrial processes on AWS. This solution leverages AWS services allowing you to train teams of agents at scale and deploy agents from a model catalog, harnessing advanced AI with advancing automation capabilities without infrastructure constraints.
• TriDiagonal announces Agentic AI Accelerators powered by AWS. Powered by Amazon Bedrock and Amazon Neptune, the Agentic AI Accelerators provide an innovative launchpad for implementing Agentic AI solutions tailored to industrial use cases, leveraging domain and context-aware agents that build knowledge data models using domain expertise and subject matter expertise.
• Hitachi Intelligent Platform registers with AWS Industrial Data Fabric Solutions. This announcement marks the first data service from a Japanese company to be registered as an AWS Industrial Data Fabric Solution, enabling manufacturing and industrial companies to build the foundation for digital transformation to help optimize operations.
• Treon to offer new service using Amazon Monitron technology. Treon announces they will now offer two new sensor designs that can be used as replacements for Amazon Monitron sensors, as well as adopting Amazon Monitron’s machine learning capabilities to enhance their condition-based monitoring solutions to improve equipment reliability, enable faster fault detection, reduce maintenance costs, and minimize unplanned downtime.
• IFM announces integration of its Moneo IIoT platform with AWS. This integration enables all AWS IoT Core-compatible services to work with Moneo devices. AWS customers can now process their production data with AWS services via Moneo, allowing customers to monitor and control sensors and devices, create IoT applications, and quickly react to trends and inconsistencies without having to manage in-house infrastructure.
• Highbyte announces support for Amazon Simple Storage Service (S3) Tables. This native integration improves accessibility and usage of OT data in the cloud, simplifies building of data lakes, and optimizes data management for analytics workloads with Amazon S3 tables.
• TwinThread introduces native integration with AWS IoT SiteWise. This native integration with AWS IoT SiteWise enables easy access to data-driven insights, uncovers optimization opportunities faster, and automates data hygiene to simplify and accelerate equipment and process data management—bringing new industrial AI capabilities to AWS customers.

Speaking Engagements

This year, AWS participated in over 20 speaking engagements throughout the week. AWS had eight speaking sessions at the Hannover Messe stages, including a keynote on the Digital Transformation stage. Ozgur Tohumcu, Director of Automotive and Manufacturing at AWS, led the keynote accompanied by leaders Peter Koerte, CTO and Chief Strategy Officer at Siemens AG, Rev Lebaredian, Vice President Omniverse and Simulation Technology at NVIDIA, and Jason Langfield, Senior Manager and Product Owner at 3M. The session, Realizing the promise of Industrie 4.0 with AI, highlighted how machine learning and generative AI technologies in the cloud help industrial companies speed their Industrie 4.0 journey with AI. Watch the keynote here.

Figure 1: AWS Keynote with Ozgur Tohumcu on the Hannover Messe Digital Transformation stage

We also hosted a new type of class engagement offered by Hannover Messe to connect with attendees, dive deeper into industry topics, and learn from experts in a smaller setting. The session, Building an Industrial Data Strategy: Unlocking Insights and Enabling AI in Manufacturing, garnered enthusiastic interest, where the crowd learned how to build a modern industrial data strategy that drives operational excellence and enables AI-powered innovation. The session covered architectural patterns that underpin an industrial data strategy, focusing on operational and enterprise data ingestion, data storage and transformation, and data contextualization. To learn more about this important topic, watch the recording of the session here.

In the AWS booth theater, we hosted 60 sessions that highlighted AWS customers and AWS Partners, and how they collaborate with AWS to help their customers achieve their business outcomes. AWS hosted three sessions highlighting generative AI solutions, modern industrial data strategies, smart industrial machines, and driving transformation.

We also hosted nine joint presentations with Siemens on topics including:

• Siemens Xcelerator for Industrial Metaverse and start-up ecosystem: Video recording
• Digital Transformation in Engineering: SaaSification as accelerated route-to-market: Video recording
• Build on Cloud, deploy on Edge: Secure AI/ML integration of Edge and Cloud: Video recording
• Building Foundational Services to combine the real and digital worlds: Video recording
• Laying the Industrial Data Foundations for the AI-Powered Enterprise
• How to drive and implement innovations in pharma manufacturing with generative AI?
• A shortcut to success: Siemens and AWS take sustainable building operation to the cloud: Video recording
• The Smart Factory: Unifying Operations & Information Technology from edge-to-cloud: Video recording
• Beyond traditional automation: How generative AI and IT/OT integration transform pharmaceutical manufacturing: Video recording

Figure 2: “Digital Transformation in Engineering: SaaSification as accelerated route-to-market” with Ozgur Tohumcu

AWS Demos

The AWS booth was filled with over 19 AWS interactive demos, showcasing key topics and technologies such as generative AI, industrial data fabric, unified namespace (UNS), digital threads, smart machines, and more. This year, we had two experiential demos highlighted in the booth, a new Autonomous Mobile Robots (AMR) and Co-bots demonstration and an updated e-Bike Smart Factory demo.

The new Autonomous Mobile Robots and Co-bots demonstration showcased how manufacturers can leverage AWS AI-driven Robotics to reduce the impact of labor shortages by automating manufacturing tasks including material supply, product movement, and quality control and inspection using AMR and Co-bots from KUKA, managed by SYNAOS intralogistics software for material flow orchestration.

Figure 3: Autonomous Mobile Robots and Co-bots demo at Hannover Messe 2025

We showcased the “e-Bike Smart Factory” Demo, a large demonstration of how AWS services and AWS Partner solutions work “better together” to provide solutions to common industrial production challenges to achieve improvements in product quality, operational efficiency, and agility. Built in collaboration with AWS Partners Denali, Siemens, Matterport, Wago, Pepperl+Fuchs, Eurotech, and Advantech, the e-Bike demo tells the story of an e-Bike manufacturer that designs, manufactures, and manages a fleet of e-bikes for a bike sharing program that experiences a challenge meeting demand due to poor inventory visibility, unplanned production downtime, and damaged products.

The e-Bike Smart Factory demo covers a variety of use cases, including building an industrial data foundation, asset monitoring, anomaly detection, predictive maintenance, assisted diagnosis and troubleshooting, advanced defect detection, operational reporting, security, demand and supply planning, inventory management, and sustainability tracking.

Check out some of the latest updates to the use-cases and additional AWS Partner solutions:

• Anomaly Detection – The manufacturer designed an Anomaly Detection model with Amazon SageMaker, applying machine learning techniques to automatically detect anomalies in sensor data patterns that could indicate an impending failure. The model monitors sensor data streams, like conveyor belt motor vibrations, temperatures, speeds, to detect anomalies and alert operators to potential equipment issues before it turns into unplanned downtime.
• Predictive Maintenance Work Order Management – When an anomaly is detected, an alarm is raised in AWS IoT SiteWise which automatically triggers the creation of a maintenance work order in the SAP Plant Maintenance (SAP PM) module. This provides full visibility into work order status across the enterprise, predicts completion times based on critical components’ availability, raises potential risks/delays from missing components or tools, and gives intelligent recommendations to optimize work execution so that maintenance of the machine can be completed without adversely affecting production throughput.
• Quality Insights – Denali’s Automated Quality Inspection at the edge identifies quality defects, such as scratches, weld issues, and paint problems. The solution utilizes multiple cameras to capture images of the e-bikes from various angles, then automatically analyzes the images with a custom ML model built with Amazon SageMaker to identify any defects with high accuracy. When a defect is detected, Denali Automated Quality Inspection displays the high-resolution image on an inspection monitor with the defect areas identified and classified, allowing quick validation of issues before a bike reaches finished goods inventory.
• Advanced Defect Detection – The manufacturer needed more defect image data to fully train the ML vision models, so they leverage generative AI to synthesize thousands of labeled images portraying different defect types using Stable Diffusion models on Amazon SageMaker. By generating synthetic images and augmenting datasets with “good” and “bad” examples using text-to-image models, they can train and fine-tune foundation models to develop accurate and robust defect detection models with limited defect data available.
• Operational Reporting – The e-bike manufacturer enhances their operational reporting experience by using Amazon Q in QuickSight, leveraging generative BI capabilities to help business analysts and users quickly build compelling visuals, summarize insights, answer data questions, and create data stories using natural language.
• Pepperl+Fuchs – The manufacturer deploys Pepperl+Fuchs condition monitoring sensors on critical production line assets like conveyor belts and robotic arms to provide Continuous Condition Monitoring of key parameters like vibration and temperature, enabling anomaly detection and predictive maintenance.
• SAP – The manufacturer uses the SAP Plant Maintenance (PM) Work Order Management module to create, assign, and track maintenance work orders when an alarm is detected on any of the equipment. When an alarm is received in AWS IoT SiteWise, an event is triggered and automatically creates and assigns a work order in SAP.
• Mendix – The Mendix platform is used to show a visualization dashboard for lean daily factory management displaying information like overall equipment effectiveness (OEE), availability, performance, quality, alarms, and a digital twin of the demo.
• Belden – Belden industrial switches and routers are used to provide a reliable, secure and powerful solution for IT/OT convergence and a resilient network that prevents disruptions that could interrupt production continuity. Belden Horizon provides a single application to simplify network administration, enabling faster fault detection, response, and a consistent security policy for rapid response to threats to enhance network protection.
• Treedis – The Treedis platform leverages augmented reality (AR) and virtual reality (VR) to transform on-site training and streamline maintenance procedures for the e-bike manufacturing line with step-by-step instructions for operations personnel.
• 42Q – 42Q provides a cloud-based manufacturing execution system (MES) that leverages AWS Lambda functions to forward e-bike assembly data from AWS IoT SiteWise to 42Q, allowing users to view product traceability, route enforcement, cycle time, asset performance, and defect & repair loops.

Figure 4: e-Bike Smart Factory demo at Hannover Messe 2025

Conclusion

Experiencing Hannover Messe for the first time, it is truly remarkable walking onto the fairgrounds every day and seeing the breadth and variety of exhibitors, product innovations, demonstrations, and attendees that are contained in 15 different halls. To learn how AWS helps manufacturers speed time to market, improve operational efficiency, and increase revenue with the most operational expertise, a dedicated manufacturing partner competency network, and the most secure and comprehensive set of purpose-built services and solutions, visit the AWS Manufacturing and AWS for Industrial web pages, and follow AWS for Industrial on LinkedIn for the latest updates and announcements.