Lower costs
Lower costs over the equipment’s lifetime with a tailored maintenance program that keeps components in good condition and recommends parts replacement based on their actual condition and usage.
TOMORROW’S FAULTS SOLVED TODAY
Predictive maintenance for connected equipment
Imagine an elevator or escalator that knows when it needs attention – before it ever causes a delay. That’s the power of predictive maintenance. Using real-time data and intelligent analytics, predictive maintenance helps identify potential issues before they become problems. This means fewer unexpected breakdowns, faster service, and happier users. Your elevators stay reliable, safe, and ready – so people can keep moving without interruption.
Benefits of predictive maintenance
Traditional non-connected maintenance is often reactive and responds after something stops working. Digitally enabled predictive maintenance takes a smarter, proactive approach, meaning fewer breakdowns, faster fixes, longer equipment life, and happier customers.
Optimized service plan
Your maintenance plan is optimized based on data and analytics. Additional tasks for the next maintenance visit are added when needed.
Fewer disruptions
Keeps equipment running smoothly for longer, with fewer disruptions.
24/7 remote monitoring
Uses real-time equipment data to monitor 24/7.
Resolutions in under 2 minutes
Combine remote and onsite actions by experts for fast resolution
Early detection
Detects early warning signs and schedules well-timed, relevant actions.
Proven results speak for themselves
Our predictive maintenance has already benefited tens of thousands of elevators and escalators in all types of buildings. Make better decisions and keep your building running smoothly with data-driven insights and proactive support.
55%
fewer entrapments
Improve safety for tenants and visitors
25%
of issues solved remotely within two minutes
Save time with fast and remote resolution of issues
80%
of equipment faults identified proactively
Spend less time on maintenance issues
360°
lifecycle approach for repairs, upgrades and renewals
A comprehensive plan for the future
How does predictive maintenance differ from traditional maintenance?
See the key differences between traditional maintenance and our digitally enabled connected service—making smart, connected maintenance the new standard for safety and peace of mind.
| Traditional non-connected maintenance | KONE digitally enabled predictive maintenance | |
| Planning and monitoring | Follows a fixed schedule based on estimated wear and tear | Uses real-time equipment data to monitor actual usage 24/7 |
| Issue detection | Action only taken before failure if signs are visible | Predictive and proactive, intervention before failure |
| Response speed | Variable, often delayed | Rapid, critical alarms prioritized and addressed without delay |
| Downtime | Longer, unexpected | Significantly reduced, most faults fixed before operation is affected |
| Transparency | Limited information, via reports | Full real-time equipment status and history online |
| Equipment longevity | Standard, no early interventions | Optimized asset life and reliability |
| Costs | Routine replacements and more issues mean higher costs | Lower costs, parts replaced based on actual condition and usage |
Elevator Services
Benefits all types of buildings and equipment
Predictive maintenance isn’t just for the largest city skyscrapers or brand new buildings—it’s a smart investment for building owners, facility managers and building operators who value reliable people flow and asset protection.
- Residential buildings where tenant comfort and security matter.
- Office complexes and commercial real estate aiming to guarantee seamless access and fewer interruptions.
- Hospitals, hotels, and public spaces with high people flow and a need for maximum uptime.
- Shopping centers, transit hubs, and infrastructure sites where every minute of downtime impacts user experience and revenue.
No matter your building’s size, age, or use case, predictive maintenance helps transform maintenance from a source of worry into a foundation for safe, efficient, and future-ready buildings.
Take the next step
Add your contact details and ask us a question about KONE elevator maintenance.
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Frequently asked questions
Learn more about digitally enabled predictive maintenance with helpful answers to common questions.
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Predictive maintenance uses real-time monitoring and data analytics to anticipate potential problems and schedule well-timed actions. It combines remote diagnostics with onsite work by technicians to ensure that elevators operate reliably and safely. Compared to conventional reactive maintenance, predictive maintenance improves service outcomes, reduces costs and provides better reporting.
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Traditional maintenance follows a fixed schedule, replacing parts based on age or wear. Predictive maintenance utilizes usage data and equipment data to spot issues early, to schedule the right actions, thus keeping elevators running longer with fewer disruptions and lower lifetime costs.
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Predictive maintenance reduces the likelihood and duration of downtime by addressing many issues before they affect service. In KONE’s connected elevator base, outcomes include resolving 80% of issues proactively and reducing downtime by 30%. Actual results vary by site, equipment, connectivity, and market availability. Not all faults can be prevented.
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Operations and performance data is collected from equipment controllers, inbuilt equipment sensors and from additional sensors for 3rd-party equipment and shared via a secured connection to the IoT cloud services. Innovative AI-based data analytics identifies patterns and early warning signs. The system generates alerts, recommends actions and updates the maintenance plan accordingly. Building managers can see real-time equipment status and service information in KONE’s digital tools. Availability of specific capabilities (for example, KONE Remote Rescue) may vary by equipment, contract and market.