Is predictive maintenance worth the cost?
Yes. Predictive maintenance reduces a $1M emergency event to $144K planned repair (86% reduction), saves 40 hours of downtime per event, reduces maintenance costs by 4.87x, and breaks even at just 5% detection rate (preventing 1 in 20 failures).
The Math
A single prevented failure saves approximately $856K ($1M emergency cost minus $144K planned repair cost). If your facility experiences 5 failures per year, preventing just 1 (20% detection rate) saves $856K annually. The system breaks even at 5% detection rate — preventing just 1 in 20 failures.
Beyond Direct Savings
- 72.9% downtime reduction in digital twin simulation
- 4.87x lower maintenance costs
- 40 hours downtime saved per event
- Reduced safety incidents
- Extended equipment lifespan
- Improved maintenance planning
When It Is NOT Worth It
Predictive maintenance requires sensor data and historical baselines. If your equipment has no sensors, few critical rotating machines, or very low failure rates, the investment may not be worth it. Use the Readiness Assessment to check.
Evidence
VERIFIED
86% cost reduction ($1M → $144K)
Source: vlthrlab.app/research/mad-system.html
Source: vlthrlab.app/research/mad-system.html
VERIFIED
4.87x lower maintenance costs
Source: vlthrlab.app/research/mad-system.html
Source: vlthrlab.app/research/mad-system.html
VERIFIED
Break-even at 5% detection rate
Source: vlthrlab.app/research/mad-system.html
Source: vlthrlab.app/research/mad-system.html
VERIFIED
72.9% downtime reduction
Source: vlthrlab.app/research/mad-system.html
Source: vlthrlab.app/research/mad-system.html