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Study

Predictive Maintenance

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A brief overview

  • Our study analyses the prevalence of predictive maintenance in companies
  • It shows which benefits have already been realised and which hurdles still exist
  • Predictive maintenance is an example of how innovative analyses can be used to gain valuable insights from data
Digitalisation is leading to more and more available data, which can be condensed into reliable forecasts using innovative technologies, making the future increasingly predictable. Predictive maintenance is an example of how companies can reduce downtime and increase overall plant effectiveness through the targeted use of data from networked machines. A survey of 437 experts from the DACH region shows that predictive maintenance is an issue in many companies, even if its implementation is still associated with challenges.

All the details in our study - download it now for free!

Our expert

Ewald Rehm Managing Director

Ewald Rehm Partner & Managing Director

is a leading expert in asset lifecycle management with SAP and optimises company processes across the entire asset lifecycle - for greater efficiency and sustainability.

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