What is predictive maintenance for SMEs?

Predictive maintenance uses machine data and AI to forecast failures before they happen. Instead of fixed intervals, maintenance is condition-based, which reduces downtime and cost.

Is predictive maintenance worthwhile for smaller companies?

Yes. Modern cloud solutions and retrofit sensors make predictive maintenance economical even for SMEs with 10 to 30 machines. Typical ROI is 12 to 24 months.

Which machines are suitable for predictive maintenance?

Especially rotating equipment such as spindles, pumps, motors, compressors, machine tools and conveyors. What matters is sensor data availability, not machine age.

Do I need my own data scientists for predictive maintenance?

No. We deliver ready-made AI models and platform-based solutions. Your maintenance team uses a dashboard, not a coding environment.

How much data do I need for a predictive maintenance model?

For most applications 6 to 12 months of historical machine data or a combination of historical and newly collected sensor data is enough. We assess this in the readiness check.

What costs should I expect?

A pilot for one machine starts at around 12,000 to 25,000 euros including sensors, data pipeline and AI model. When scaling, per-machine cost drops significantly.

Predictive Maintenance

Predictive Maintenancefor manufacturing SMEs

Avoid downtime before it happens. With AI-based machine monitoring you reduce unplanned outages by 30 to 50 percent and plan maintenance by condition instead of calendar.

Free initial consultation More about our consulting

How we set up predictive maintenance for you

Six steps from the first sensor to a productively monitored machine.

Sensor & data integration

Connect existing machine data, retrofit sensors where needed and route data into a central platform.

AI models for anomaly detection

Machine learning models detect unusual vibrations, temperatures or current draws long before a component fails.

Early warning system & alerts

Automatic alerts to maintenance whenever a damage pattern is detected, including a concrete recommended action.

Maintenance planning

Maintenance is decoupled from the calendar and aligned with actual machine condition. Less downtime, fewer unnecessary interventions.

Reduction of unplanned downtime

Typical reduction of unplanned downtime of 30 to 50 percent within the first 12 months.

Predictive quality

Extension to predictive quality control. Scrap is avoided before it occurs.

Frequently asked questions

Which of your machines costs you the most downtime?

In a free initial call we identify the most economical machine for a predictive maintenance pilot.

Free initial consultation 06150 184973-0

Subject matter expert

Lars Zimmermann, Managing Director & AI Manager

AI Manager (IHK), Certified Business Administrator (IHK) and Master Metal Construction (HWK). 20 years of industrial experience in the German manufacturing Mittelstand. The content of this page is based on hands-on consulting practice with SMEs in Germany and is regularly updated to reflect current regulation and technology.

AI Manager (IHK)Updated on April 20, 2026