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SAP Predictive Maintenance and Service

Move from reactive to predictive maintenance and service – with the Internet of Things

Reduce maintenance cost, increase asset availability, improve customer satisfaction, generate new service revenue and change to a usage-based business model with the Internet of Things (IoT) and SAP Predictive Maintenance and Service. Powered by SAP HANA in-memory technology, the solution analyses large volumes of sensor data (such as temperature, vibration, or rotation speed) and issues an alert long before a machine breaks down. Combine sensor data with business information in your CRM, ERP, and enterprise asset management (EAM) systems – and move from reactive to predictive maintenance and service.

Why SAP Predictive Maintenance and Service?

Because the IoT solution uses real-time machine data and sophisticated analytics to determine equipment health – so you can predict and prevent failures. Asset manufacturers can dramatically improve customer service, and operators can maximise equipment uptime. 

  • Avoid costly disruptions by predicting equipment malfunctions before they happen
  • Use insights from sensor data to improve product quality, reliability, and customer satisfaction
  • Optimise resource management by sending technicians with the right parts at the right time
  • Prevent unplanned downtime, and schedule maintenance at a time that is least disruptive to operations
  • Prototype and launch new IoT initiatives in 3 months or less – with the SAP Leonardo jump-start program

Learn more about how our predictive maintenance tools use the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and machine-to-machine (M2M) technology to transform field service and asset management.

Functional Capabilities
  • Asset health management and decision support
    Use health scores, anomaly detection, spectral analysis, and machine learning to optimise asset maintenance and servicing. Initiate preventive counter measures to enable a closed-loop maintenance and service process.
  • Extensible and high-performing platform
    Process huge volumes of information technology (IT) and operational technology (OT) data using sophisticated machine learning algorithms.
  • Operational analytics
    Leverage sophisticated predictive modelling and analysis tools – including statistical modelling, data discovery, asset scoring, visualisation, and more.
  •  Business integration
    Integrate with remote business systems – including CRM, EAM, ERP, and non-SAP service software – to speed insight-to-action.

Solution brief: Data Science and Machine Learning in the Internet of Things and Predictive Maintenance

Technical Capabilities
  • In-memory technology
    Harness state-of-the-art in-memory computing technology built on the SAP HANA platform.
  • IoT and IIoT connectivity
    Take advantage of device management, monitoring, connectivity, and IoT data transfer services. Optimise data management with scalable and cost-effective storage for time series data.
  • VisualisationVisualise real-time data according to business needs – and expose valuable insights – with a unified and intuitive user experience.
  • Integration with SAP solutions
    Natively integrate with SAP enterprise solutions (such as SAP S/4HANA) as well as third-party maintenance execution systems. 

Deployment Options

  • SAP Predictive Maintenance and Service has two deployment options, the on-premise edition and the cloud edition.
  • SAP Predictive Maintenance and Service, cloud edition, runs on the SAP Cloud Platform. The solution uses services like SAP Cloud Identity Access Governance and SAP HANA Cloud Integration – and can be extended if needed.


View the product roadmap for the on-premise edition

View the product roadmap for the cloud edition


Deploy SAP Predictive Maintenance
and Service on-premise or in the cloud

  • SAP Predictive Maintenance and Service, cloud edition
    The cloud edition offers a subscription-based pricing model based on the number of devices connected to the platform, as well as the number of measurements – which represents the volume of data stored in SAP. Vibration analysis is offered as an add-on, and is priced separately.  

  • SAP Predictive Maintenance and Service, on-premise edition
    The on-premise edition offers a perpetual license model based on the number of measuring or sensor points that are configured in the system. A base package is available for smaller scale implementations. This edition leverages SAP HANA as a hot storage for fast queries and predictive calculations, as well as SAP Sybase IQ for storage of IoT Big Data. 

Buy SAP software now and pay later - with our flexible payment plans and financing options


For general licensing information, consult Licensing SAP Software: A Guide for Buyers 

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Trenitalia Showcases Railway Innovation with SAP

Trenitalia’s deployment of dynamic maintenance management using SAP for the IoT demonstrates how real-time insights from sensors add predictive capabilities to traditional, planned and reactive models. 

Introducing On-Premise Predictive Maintenance Tools

Read how SAP Predictive Maintenance and Service, on-premise edition, offers customers a complete process from thing to insight to action.

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