Learn from concrete use cases of leading OEMs and machine builders from our network how IoT platforms work in practice and what results have actually been achieved.
Möchtest du unsere Inhalte auf Deutsch sehen?
x
The providers in our network offer IoT platforms that are used in real-world applications. These platforms stand for efficient data processing and cross-system integration.
A1 Digital realises digitalization projects together with businesses: The focus is on industry-specific...
achtBytes is a german corporate startup of the STEGO Group. It is a software company with the focus on...
ALD Vacuum Technologies designs, engineers and produces advanced vacuum metallurgy, heat treatment and...
b.telligent is a technology-independent consultancy with a focus on optimizing digital and data-driven...
Cumulocity offers an enterprise-grade AIoT platform that connects & manages assets efficiently,...
Endress+Hauser is a leading supplier of products, solutions and services for industrial process...
ENLYZE Shop Floor BI helps increase productivity in continuous manufacturing and make data-driven...
EXOR International, an Italian company operating globally, has been designing, developing and...
HK.DIGITAL GmbH. Partner for digital business models and fast, effective ticket to digitalization:...
ifm electronic gmbh with headquarters in Essen develops, produces and distributes sensors, controls,...
The world is in constant motion. And where movement happens, that's where we come in: improve what...
in.hub GmbH is a specialist for condition monitoring in the industrial environment. The goal of in.hub...
Our network partners are already successfully implementing these digital services – as integrated components of their IoT platforms for customers.
Just-in-time fault messages instead of reactive maintenance. IoT sensors automatically detect critical deviations and trigger targeted service calls - before the downtime occurs. Proactive maintenance saves costs.
Forecast maintenance needs instead of reacting. Machine learning analyzes operating data and identifies optimum maintenance times - for maximum uptime. Data-based decisions instead of unplanned downtime.
Continuous monitoring of your machines and systems via IoT sensors. Live dashboards show machine status, process data and performance KPIs - for data-based decisions and optimization.
Controlled data sharing with customers, partners and service providers. Role-based access and standardized APIs for seamless system integration. Secure networking without data loss or security risks.
User behavior and performance data become valuable customer insights. Optimize service offerings based on real usage data. Direct feedback for better product development and customer satisfaction.
Digital maintenance logs, service reports and spare parts certificates automatically generated from IoT data. Compliance-ready and audit-proof. Paperless documentation for efficient processes and verification.
Configure and commission systems remotely. IoT platforms enable remote access to control systems - without on-site visits. Faster commissioning and reduced travel costs for service technicians.
From product sales to service subscriptions: IoT-based usage measurement enables pay-per-use, performance guarantees and new revenue streams. Customer benefits become measurable and billable.
Mechanical and plant engineering companies are bundling service, maintenance and product information in digital customer portals. Direct access to machine data, spare parts and support - available 24/7 for your customers.
Success factors for IoT platforms: Strategy, scaling and partnerships from the field.
Successful companies work with pilot customers to develop lean MVPs with functions such as remote monitoring, ticketing and dashboards. This reduces development risk and enables early customer feedback to guide future improvements.
Many platform providers specifically test the willingness to pay via clear value-added communication, simple A/B offers or direct interviews with users. This approach leads to quicker, more realistic pricing without the pitfalls of freemium models.
Successful organizations establish dedicated platform teams that focus on the digital product. These teams are coordinated with Service and Sales, but are organizationally independent of the hardware business for clear objectives.
The ROI of platform features is evaluated on the basis of specific usage data, service efficiency and cost savings for the customer. The key is to use data-driven arguments and make measurable added value visible for customers.
Learn from concrete use cases of leading OEMs and machine builders from our network how IoT platforms work in practice and what results have actually been achieved.
Problem: Natec was looking for a centralized solution for managing machine data in order to make global service processes efficient and profitable.
Solution: symmedia introduced an IoT platform that bundles and secures machine data and serves as the basis for new digital services.
The result: Service models such as 24/7 support and remote maintenance are now the norm at Natec – fully integrated into every new machine.
Problem: Customer service over long distances was expensive, slow and labor-intensive – especially when commissioning worldwide.
Solution: With symmedia, SMS group relies on a secure service platform with remote support, AR technology and a mobile app.
The result: Customers receive direct support in real time, downtimes are reduced – and SMS establishes itself as a genuine lifecycle partner.
Problem: Remote access to machines – especially in China – was unstable, confusing and difficult to manage.
Solution: With IXON Cloud, Pantec implemented a secure, scalable IIoT platform with role-based access, monitoring and data analysis.
The result: New digital services such as the Foil Optimizer reduce costs, improve development and make support more efficient worldwide.
Problem: Manual maintenance of globally distributed machines was time-consuming, insecure and made digital transformation more difficult.
Solution: Together with Kontron, VOLLMER developed a scalable IoT platform with secure device management, automated updates and edge processing.
The result: The solution reduces costs, meets NIS 2 requirements, enables new services such as fleet management – and is now also offered to customers as a package.
Problem: Analog systems without remote access cause high energy and maintenance costs and prevent data-driven optimization.
Solution: Projektunion and IOX digitalize existing systems with smart.click, record sensor data and enable central remote control via Narrowband IoT.
The result: Operating costs are reduced, failures are detected automatically – and new services are created through the intelligent use of location data.
Problem: Mobile power generators required a lot of servicing, did not enable reliable communication and offered no protection against theft.
Solution: POLYMA relies on an IoT platform with real-time monitoring, GPS tracking, alarms and an integrated service app with ticket system.
The result: Reduced downtime, greater efficiency, direct customer contact – and a scalable solution for digital service processes in the field.
Problem: Manual maintenance, missing data and long response times hindered service efficiency and the development of new business models.
Solution: Novoferm relies on the “ServiceHub Live” – an IoT-supported cloud platform with remote diagnostics, predictive maintenance and mobile app.
The result: Downtimes are reduced, maintenance can be planned – and Novoferm is positioning itself as a digital service provider with data-based added value.
These user groups, target industries and areas of application are currently benefiting particularly strongly in our network:
Strategic objective: IoT platforms are increasingly being used as a strategic tool by manufacturers of intelligent machines, devices and automation solutions. The aim is to develop scalable digital services for remote monitoring, digital twins, condition monitoring and predictive maintenance.
What stands out: Companies that work closely with OEMs or operators are especially likely to develop new applications on a platform basis as co-creation projects. Platforms enable not just technical implementation, but also faster partner integration and direct market feedback.
Concrete application areas from our network:
Strategic focus: Modular IoT platforms for the further development of classic products into scalable, service-oriented solutions with a close customer focus.
Strategic orientation: Mechanical and plant engineering companies use IoT platforms specifically to expand their service business. The demand for scalable platform solutions including value-added services for operation, maintenance and support is increasing, particularly among OEMs that sell machines internationally.
Business model innovation: IoT platforms are seen as enablers for new business models – from data-based services and modular upgrades to stronger customer loyalty via digital channels.
Practical examples from the community:
Co-creation approach: Development of service-centered business models in close cooperation with customers – particularly relevant for international OEMs with complex support requirements.
Digitalization mandate: Energy suppliers, municipal utilities and municipal operators are systematically digitalizing their supply infrastructure – from electricity, water and district heating to transport networks. Digitalization managers rely on IoT platforms to serve internal and external stakeholders.
Technical requirements: Scalable, cloud-native platform solutions that integrate into existing ecosystems and meet high security and compliance standards. In the KRITIS environment, stable, proven solutions are crucial – not laboratory experiments.
Selection criteria: Verified projects with references from comparable functional areas such as energy distribution, water supply, LoRaWAN infrastructure or waste management.
Thematic specialization:
Proof of success: Proven technologies with documented success stories as an anchor point for technology selection.
Dual strategy: Digital pioneers from a wide range of industries use industrial IoT platforms not only for internal process optimization (production, logistics, supply chain), but also actively create new business models for external customers, service providers and stakeholders.
Internal networking goals:
External monetization: Several companies use their platforms for external services – as independent subsidiaries or service companies. These platforms often become the nucleus of cross-cutting digital strategies that scale both internally and externally.
Regulatory relevance: Particularly important in industries with complex production, high quality requirements or regulatory specifications.
Many IIoT projects fail not because of the idea, but because of the implementation: a lack of scalability, high operating costs and unclear requirements lead to expensive rework and a failed business case.
On our platform, you will find tried-and-tested technologies, best practices from real industry projects and the collective knowledge of our community. We show you how to avoid typical mistakes with the right technology stack – from data acquisition to AI evaluation – and how to set up your IIoT project economically and future-proof.
Discover how leading companies from our network successfully structure their projects – modular, interoperable and data-secure.
Data acquisition forms the solid foundation of your IoT application. Whether machine, operating or sensor data - accurate and reliable data acquisition enables precise analyses and data-based decisions. Modern solutions capture data directly at the machine, standardized and in real time.
Reliable data transmission is essential for every IoT process. Choose between wired (e.g. Ethernet) and wireless technologies (e.g. 5G, LoRaWAN) based on your requirements in order to optimally combine stability and flexibility.
The efficient preparation and pre-processing of your raw data ensures that it can be used immediately. Whether edge computing or local pre-processing - reduce the amount of data and significantly improve the performance of your IoT systems.
Data standardization creates the basis for efficient, cross-manufacturer communication and consistent use of data throughout the entire life cycle. Whether through protocols such as OPC UA over MQTT for secure transmission or standardized product data and digital twins - your IIoT projects remain flexible, scalable and economical.
The convergence of production technology (OT) and information technology (IT) enables you to achieve a transparent data flow without media disruptions. This allows you to eliminate data silos, speed up decision-making and optimize your operational processes in the long term.
IoT platforms form the central nervous system of your digital infrastructure. As PaaS or SaaS solutions - for example in the form of customer portals for manufacturers - they store, visualize and manage IoT data. As a result, you always have a comprehensive overview of your processes and can make well-founded, data-based decisions.
Protecting sensitive industrial and process data is a top priority. Modern security concepts ensure that your data is transmitted and stored in encrypted form and that your systems always comply with current regulatory requirements.
Efficient management of networked IoT devices is a key component of successful digitalization strategies. From commissioning and updates to decommissioning - structured device management reduces operating costs and significantly increases the security of your IoT infrastructure.
Visualized data enables faster and more precise decisions in your company. Modern dashboards and graphical presentations transform complex data streams into clear, real-time displays and create transparency at all levels of the company.
The systematic analysis of your IoT data uncovers hidden correlations and identifies optimization potential in your processes. From descriptive statistics to complex analysis procedures - gain valuable insights from your operational data for well-founded business decisions.
Data analysis is the basis for data-driven IIoT applications - from process optimization to AI-supported predictions. While traditional evaluations work with fixed rules, AI algorithms independently recognize patterns and anomalies - for predictive maintenance or quality forecasts, for example. Both approaches complement each other and optimize the potential of your IoT data.
Industry-specific IoT applications address concrete challenges with preconfigured functionalities. From production optimization to asset tracking — these specialized solutions offer rapid time-to-value and can be flexibly adapted to individual requirements.
Whether machine manufacturers or operators – IoT platforms create the basis for new services, efficient processes and sustainable digitalization. Find out how equipment manufacturers and their customers benefit from IoT solutions.
Manage remote maintenance, monitoring or digital twins centrally and provide them as standardized added value. Create new revenue streams through service subscriptions.
Findings from operations help to improve quality and accelerate development. Receive data-based product optimization directly from the customer.
Predictive maintenance and automated alerts enable early detection of failures. Proactive maintenance instead of reactive repairs.
Automatic logging and compliance reports fulfill regulatory requirements. Seamless documentation for audits and certifications.
Monitor statuses, utilization and performance centrally – even across locations. IoT platforms create complete transparency across your production environment.
IoT platforms can be securely integrated into existing IT/OT structures - with clear roles and access concepts for everyone involved.
Data-based optimizations improve processes and reduce operating costs. Automated workflows sustainably increase productivity.
Digital interfaces create permanent contact with the customer - including support, self-service and value-added services. Establish long-term partnerships.
Predictive maintenance and real-time monitoring reduce downtimes and optimize maintenance cycles. Achieve higher system availability for all parties involved.
The decision as to whether to develop an IoT platform yourself (“make”), purchase an existing solution (“buy”) or combine the two is a key strategic decision. It has a long-term impact on costs, control and flexibility. Companies are faced with the question: “Do we want to set everything up ourselves – or would it be better to work with an experienced partner?
Suitable for companies with specific requirements, existing IT know-how and resources for long-term in-house development. This strategy enables complete control over all aspects of the IoT platform – from architecture to data management.
Suitable for companies that want to achieve results quickly and rely on proven, scalable technologies. This strategy makes it possible to focus on the core business while benefiting from years of platform expertise.
Authentic insights from equipment manufacturers and platform experts – straight from our IoT Use Case podcast discussions.
MARTIN GmbH and b.telligent use IoT technologies in waste recycling to operate plants worldwide more efficiently and reduce emissions through data-based services.
Weidmann Medical Technology and Innomat show how a digital batch card and IoT integration can increase traceability and efficiently replace manual processes in medical technology.
Together with symmedia, GF Machining Solutions is developing an IoT platform that uses high-frequency machine data and establishes digital services directly at the customer’s premises.
Bäumer connects 600 machines with the IXON Cloud, optimizes service processes and opens up new sources of revenue through data-based service packages in mechanical engineering.
Using Webasto as an example, SITEC and in.hub show how energy monitoring and predictive maintenance can be efficiently integrated to reduce operating costs and downtimes.
To find the right IoT platform, we look at the different service models of our partners. Almost all major providers (Azure, AWS, Cumulocity, SAP) cover all three layers – the functional perspective is crucial.
IaaS provides the technical basis for IoT platforms - computing power, networks and storage for cloud or on-premises operation.
Core Functions:
Example Products:
PaaS is aimed at developers who want to implement IoT use cases individually. It provides all necessary building blocks from device management to system integration.
Core Functions:
Example Products:
SaaS is designed for users who want to use ready-made IoT solutions without developing their own. Instantly available via web interface.
Core Functions:
Example Products:
Our community brings together industry experts who have already implemented successful IIoT projects – openly, practically and on an equal footing. Gain insights into how other companies have solved challenges, share your use cases and discover new ideas and concrete solutions for your business.
Every innovation starts with an idea. Discover proven use cases that support your digital transformation — from predictive maintenance to worker safety.
Real-time monitoring of machine and sensor data to reduce downtime.
Data-driven maintenance to detect failures early and cut costs.
Seamless tracking of assets and material flows in production and logistics.
Automated collection and management of production and operational data.
Whether you need initial insights, specific questions or concrete use cases – we can help you! Contact us for individual consultation and solutions.
We deliver the answer – straight to your inbox every month.
Subscribe to the IoT Use Case newsletter now and never miss a thing.
The protection of your data is our top priority - find out more in our privacy policy.
IoT is the common abbreviation for the Internet of Things. The definition to the meaning is wide, so we translate the terms from industry to practice here.
Whatever you call it, you’ll find it here without “buzzword bullshit bingo.”
We look forward to hearing from you!
You are currently viewing a placeholder content from Vimeo. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from YouTube. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More InformationYou need to load content from reCAPTCHA to submit the form. Please note that doing so will share data with third-party providers.
More InformationYou are currently viewing a placeholder content from Facebook. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
More Information