Predictive vs Preventive Maintenance: Which Is Right for Your Operation?

June 5, 2025

Predictive vs Preventive Maintenance: Which Is Right for Your Operation?

Unplanned downtime can cost manufacturers hundreds of thousands per hour, yet many still rely on reactive strategies. That’s why two leading approaches have emerged: predictive maintenance and preventive maintenance.

They sound similar, but differ vastly in cost, technology, and practicality — especially for OEMs and factories.

What Is Predictive Maintenance?

Predictive maintenance (PdM) uses sensors, analytics, and AI to monitor asset condition in real time. The goal is to predict failures before they occur.

Pros Cons
  • Reduces unexpected equipment failure
  • Optimises maintenance timing with real data
  • Improves asset lifespan and reliability
  • Lowers long-term operational costs
  • Requires sensors and IoT infrastructure
  • Higher initial investment
  • Needs technical skill to interpret analytics
  • Can be excessive for low-value equipment

What Is Preventive Maintenance?

Preventive maintenance (PM) involves scheduling service tasks based on time, usage, or known failure patterns.

Pros Cons
  • Reduces unplanned downtime
  • Extends asset lifespan
  • Improves safety and compliance
  • Predictable scheduling and resource planning
  • May lead to over-maintenance
  • Not condition-sensitive—can miss hidden issues
  • Labour-intensive without automation tools
  • Requires strict schedule discipline

Companies that implement preventive maintenance report up to 30% fewer equipment failures and 20–25% lower maintenance costs.

Key Differences Between Predictive and Preventive Maintenance

Preventive Maintenance Predictive Maintenance
Performed at regular intervals regardless of asset condition Based on real-time data from sensors and condition-monitoring
Easier to implement, requires minimal technology Requires IoT infrastructure and analytics tools
May cause over-maintenance if intervals are too conservative Optimises timing, reducing unnecessary interventions
Cost-effective and reliable for most assets Higher setup cost, best for high-value or critical assets
Uses schedules based on usage hours or calendar time Uses algorithms to detect wear patterns and predict failures

Which One Is Right for You?

If you're running a high-tech facility with the budget and data maturity, predictive maintenance can yield long-term gains.

But if you're a typical manufacturer or OEM looking to reduce downtime now without a six-figure analytics rollout, preventive maintenance delivers the biggest impact with the least friction.

World-class PMP (Planned Maintenance Percentage) targets 85% or more Infraspeak

What Makula Offers?

Makula offers a holistic platform for both factories and OEMs.

  • For factories, it acts as a modern CMMS with scheduling and asset tracking.
  • For OEMs, Makula’s Asset Hub enables remote setup of preventive schedules, QR access, and customer visibility via the Customer Portal.

It's not predictive — it's practical.

See Preventive Maintenance in Action

Book a demo to explore how Makula helps manufacturers and OEMs reduce downtime and streamline service with smart preventive workflows.

Book a Demo →

Frequently Asked Questions

What’s the main difference between predictive and preventive maintenance?

Preventive maintenance is time or usage-based, while predictive uses real-time data to anticipate failures.

Is preventive maintenance still effective without sensors or IoT?

Yes. Preventive strategies work well using service history, OEM manuals, and scheduled intervals.

Does Makula support predictive maintenance?

No, Makula focuses on preventive maintenance via CMMS for factories and Asset Hub for OEMs.

Can I switch from preventive to predictive later?

Absolutely. Many manufacturers start with preventive workflows before scaling up to condition-based or predictive strategies.