What’s up at Hannover Messe 2025

Every year, Hannover Messe is a vibrant showcase of industrial innovation—a parade of cutting-edge machinery, digital solutions, and automation technologies. But as I walked through the halls of this year’s fair, one particular contrast stood out starkly to me: the divide between companies that confidently spotlight their service offerings and those that don’t mention the word “service” at all.

Why is that?

It’s not about company size, geography, or even sector. Some medium-sized machine builders presented remarkably sophisticated service portfolios. Meanwhile, some large players relegated service to the sidelines, if it was visible at all. This observation prompted me to dig deeper—why do some companies proudly emphasize service, while others avoid it altogether?

Let’s start with those who don’t.

The Silent Majority: Why Some Companies Don’t Talk About Service
  1. It’s All About the Product (Still)
    For many exhibitors, the fair is primarily a stage to unveil new hardware. Product managers, engineers, and R&D leads proudly present the latest machine generation, new components, or digital add-ons. Services—especially those not directly tied to the new hardware—often feel like an afterthought. They’re not shiny or photogenic, and that makes them harder to sell on the fair floor.

  2. Service Is Still “Reactive”
    There’s still a widespread perception that service equals problems. Maintenance, repair, complaints—none of these feel like topics you want to feature at a celebratory event. If the company culture views service primarily as cost and damage control, it’s no wonder it doesn’t make it into the booth visuals or the sales pitch.

  3. No Clear Portfolio, No Clear Message
    When a service offering is fragmented or poorly structured, it’s hard to communicate. If you don’t know what you’re selling, you certainly won’t be able to position it as a value driver. Without a clear service portfolio and related messaging, most companies opt to stay quiet rather than risk confusion.

  4. Booth Teams Aren’t Trained on Service
    Even if there are services worth mentioning, the people working the booths—often technical sales or product experts—aren’t always briefed on them. It’s not a lack of interest; it’s a lack of preparation. As a result, valuable service differentiators stay hidden in the background.

The Confident Few: Why Some Companies Lead with Service

In contrast, the companies that do communicate about service do so clearly and with purpose. They stand out not just because they talk about it—but because of how they integrate service into their core message.

  1. They Know Service Drives Differentiation
    These companies understand that service is not a side act—it’s a strategic differentiator. When product features converge (as they often do), service becomes the battlefield for customer preference. Better uptime, faster delivery, smarter support—these things matter in buying decisions.

  2. A Strategic Portfolio Makes It Real
    A clearly structured service portfolio makes all the difference. When services are bundled into coherent categories—lifecycle support, digital solutions, training, consulting, performance management—it becomes easy to communicate them. The best companies not only name their services but give them recognizable identities and value propositions.

  3. They Address the Process Chain
    The most advanced exhibitors don’t just say “we offer service”—they explain how their services help customers achieve outcomes: faster commissioning, reduced downtime, optimized throughput, lower energy costs. In many cases, these gains more than offset a premium price on the hardware itself.

  4. Service Has a Place in the Booth—And in the Sales Pitch
    Where the portfolio is clear, it’s easier to design compelling trade fair displays around service. Whether it’s a digital twin demo, a predictive maintenance dashboard, or a lifecycle calculator, these tools make service tangible. Just as importantly, the sales teams are trained to speak about them confidently and fluently.

A Simple Matrix: Where Do You Stand?

To summarize, here’s a basic matrix I sketched during my time at Hannover Messe. Where does your business stand?

 

NOT Presenting Service

Actively Presenting Service

Cultural View

Service = Cost & Problems

Service = Value & Differentiation

Portfolio

Fragmented or unclear

Structured into clear categories

Messaging

Focused solely on hardware

Links services to customer outcomes

Booth Crew

Technical experts, little service training

Sales team aligned and trained on service

Fair Setup

Products center-stage

Services integrated and visualized in booth

This matrix is not meant to pass judgment—but it does reflect a strategic choice. Choosing to ignore service at a trade fair is often a symptom of deeper organizational gaps. Meanwhile, companies that present service with clarity and confidence are usually those that have made the internal investments to treat service as a true business.

Final Thoughts

At Si2 “Service in Industries”, we often remind our clients: services don’t just support the product—they elevate it. Especially in uncertain global trade environments, services help industrial companies remain close to customers, differentiate in mature markets, and build resilient revenue streams.

Hannover Messe 2025 confirmed this perspective. The companies winning attention weren’t just showcasing smart machines—they were showing how those machines fit into smarter service systems. They weren’t just selling uptime—they were selling outcomes.

As we look ahead, I believe more companies will move from silence to service—not just because they have to, but because they realize they can. A strong service story is not just a fair talking point—it’s a strategy.

 

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Service Innovation for value-driven opportunities:

Facilitated by Professor Mairi McIntyre from the University of Warwick, the workshop explored service innovation processes that help us understand what makes our customers successful.

In particular, the Customer Value Iceberg principle goes beyond the typical Total Cost of Ownership view of the equipment world and explores how that equipment impacts the success of the business. It forces us to consider not only direct costs associated with usage of the equipment such but also indirect costs such as working capital and risks.

As an example, we looked at how MAN Truck UK used this method to develop services that went beyond the prevailing repairs, parts and maintenance to methods (through telematics and clever analytics) to monitor and improve the performance and  fuel consumption of their trucks. This approach helped grow their business by an order of magnitude over a number of years.

Mining Service Management Data to improve performance

We then took a deep dive into how Endress + Hauser have developed applications that can mine Service Management data to improve service performance:  

Thomas Fricke (Service Manager) and Enrico De Stasio (Head of Corporate Quality & Lean) facilitated a 3 hour discussion on their journey from idea to a real working application integrated into their Service processes. These were the key learning points that emerged:

Leadership

In 2018 the Senior leadership concluded that to stay competitive they needed to do far more to consolidate their global service data into a “data lake’ that could be used to improve their own service processes and bring more value to customers. As a company they had already seen the value of organising data as over the past 20 years for every new system they already had a “digital twin” which held electronically all the data for that system in an organised fashion. Initially, it was basic Bill of Material data, but has since grown in sophistication. So a good start but they needed to go further, and the leadership team committed resources to do this.

  • The first try: The project initially focused on collecting and organising data from its global service operations into a data lake.  This first phase required the development of infrastructure, processes and applications that could analyse service report data and turn it into actionable intelligence. The initial goal was to make internal processes more efficient, and so improve the customer experience. E+H looked for patterns in the reports of service engineers that could:
    • Be used to improve the performance of Service through processes and individuals
    • Be used by other groups such as engineering to improve and enhance product quality.
  • Outcome: Eventhough progress was made in many areas, nevertheless, even using advanced statistical methods, they could not extract or deliver the value they had hoped   for from the data. They needed to look at something different.
  • Leveraging AI technologies: The Endress+Hauser team knew they needed to look for patterns in large data sets. They had the knowledge that self-learning technologies that are frequently termed as AI, could potentially help solve this problem. They teamed up with a local university and created a project to develop a ‘Proof of Concept’. This helped the project gain traction as the potential of the application they had created started to emerge. It was not an easy journey and required “courage to trust the outcomes, see them fail and then learn from the process”. However after about 18 months they were able to integrate the application into their normal working processes where every day they scan the service reports from around the world in different languages to identify common patterns in product problems, or anomalies in the local service team activities. This information is fed back to the appropriate service teams for action. The application also acts as a central hub where anyone in the organisation can access and interrogate service report data to improve performance and develop new value propositions.
  • Improvement:  The project does not stop there. It is now embedded in the service operations and used as a basic tool for continuous improvement. In effect, this has shifted the whole organization to be more aware of the value of their data.

Utilizing AI in B2B services

Regarding AI, our task was to uncover some of the myths and benefits for service businesses and the first task was to agree on what we really mean by AI among the participants. It took time, but we discovered that there are really two interpretations which makes the term rather confusing. The first is a generic term used by visionaries and AI professionals to describe a world of intelligent machines and applications. Important at a social & macroeconomic level, but perhaps not so useful for business operations -at least at a practical level. The second is an umbrella term for a group of technologies that are good at finding patterns in large data sets (machine learning, neural networks, big data, computer vision), that can interface with human beings (Natural Language Processing) and that mimic human intelligence through being based on self-learning algorithms. Understanding this second definition and how these technologies can be used to overcome real business challenges is where the immediate value of AI sits for today’s businesses. It was also clear that the implication of integrating these technologies into business processes will require leaders to look at the change management challenges for their teams and customers.

To understand options for moving ahead at a practical level we first looked briefly at Husky through an interview with CIO Jean-Christophe Wiltz to CIOnet where we learned that i) real business needs should tailored drive technology implementation, and ii) that before getting to AI technologies, there is a need to build the appropriate infrastructure in terms of database and data collection, and, most importantly, the need to be prepared to continually adapt this infrastructure as the business needs change.