What Are the 6 Different Types of Maintenance?

A team of maintenance workers wearing hard hats, hairnets, and beard nets discuss machinery parts while referencing a tablet near a shadow board stocked with large gears.
Vicki WalkerErin Noble
Written by
Katie Sanders
,
Edited by
Vicki Walker
,
Reviewed by
Erin Noble

publié 

September 3, 2026

Principaux points à retenir

  • Manufacturers commonly group maintenance into 6 types: reactive (corrective), preventive, predictive, condition-based, total productive maintenance (TPM), and reliability-centered maintenance (RCM).

  • Reactive maintenance held flat at 36% of activity over the past year, even as predictive maintenance adoption doubled from 9% to 18%, according to a 2026 Fluke Corporation survey of 600-plus manufacturing decision-makers.

  • Unplanned downtime costs the world's 500 biggest manufacturers about $1.4 trillion a year, or 11% of revenue, according to Siemens, and the average plant now takes 81 minutes to restart after a stoppage, up from 49 minutes in 2019.

  • Manufacturers who adopt predictive maintenance report a 40% reduction in maintenance costs and a 50% reduction in unplanned downtime, per Siemens' 2024 client research.

  • No single type of maintenance fits every asset. The right approach matches the maintenance type to what a failure costs, not to habit.

What Are the 6 Different Types of Maintenance?

Maintenance splits into 2 basic modes: waiting for equipment to fail, or acting before it does. Every named type of maintenance varies on those 2 ideas, and what separates them is what triggers the work and how far ahead of failure it happens. 

Most equipment maintenance falls into 1 of these 6 categories. Many plants run all of them at once, matching the type to each asset's criticality.

  1. Reactive (corrective) maintenance: Equipment runs until it fails, and a technician repairs or replaces it afterward. It costs nothing until something breaks, which makes it look cheap on paper. A 2026 Fluke Corporation survey found it still accounts for 36% of manufacturers' maintenance activity, even though unplanned failures make it the most expensive approach once downtime, overtime, and rush parts get counted. It still makes sense for low-cost, non-critical, or redundant equipment. 

See corrective maintenance types and examples for the full classification.

  1. Preventive maintenance: Tasks happen on a set time or usage interval, such as a monthly lubrication or a service every 500 run-hours, regardless of the equipment's actual condition. It cuts failures without requiring sensors or data science. The tradeoff is performing maintenance that equipment doesn't need yet. 

Learn what goes into an effective preventive maintenance checklist

  1. Predictive maintenance: Sensors and analytics track equipment condition and forecast when a component is likely to fail, so work gets scheduled ahead of that point. Manufacturers who adopt it report a 40% reduction in maintenance costs and a 50% reduction in unplanned downtime, according to Siemens' 2024 client research, though it requires a real investment in monitoring equipment and staff trained to interpret the data.
    Read how preventive and predictive maintenance compare.
  2. Condition-based maintenance: Work triggers when a live reading, such as vibration or temperature, crosses a defined threshold, rather than on a forecast. It shares equipment with predictive maintenance but acts on the present, not a projection. 

See how condition-based maintenance works and how it compares to predictive maintenance.

  1. Total productive maintenance (TPM): This plantwide philosophy trains operators to handle routine upkeep on the equipment they run every day, freeing specialized technicians for complex repairs. TPM organizes around eliminating the Six Big Losses that drag down OEE.
    Learn how total productive maintenance helps stop the Six Big Losses.
  2. Reliability-centered maintenance (RCM): Teams use this structured process for deciding which type above fits each asset, based on its criticality, failure pattern, and cost of downtime. Facilities that run RCM well close the gap between the 36% of activity still spent reacting to failures industrywide and the predictive-heavy mix digital leaders are moving toward.
    Find out how reliability-centered maintenance compares to traditional maintenance.

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Comparing the Types of Maintenance

The right type depends on what a failure costs you, not which approach sounds the most advanced.

Type What triggers the work Cost profile Best fit
Reactive (corrective) Equipment fails Nothing until a failure, then the most expensive outcome once you count downtime and rush repairs Low-cost, non-critical, redundant assets
Preventive Fixed time or usage schedule Predictable, moderate cost; can mean servicing equipment early Wear-prone equipment with predictable failure patterns
Predictive Data forecasts a failure Higher upfront investment; adopters report 40% lower maintenance costs (Siemens, 2024) High-value assets where downtime is expensive
Condition-based A live reading crosses a threshold Similar upfront cost to predictive Critical equipment with clear warning signs
Total productive maintenance (TPM) A frontline operator's schedule Low direct spend; the real cost is training time and freed-up production hours Facilities training operators to catch issues before they become work orders
Reliability-centered (RCM) A criticality-based plan assigns the type Varies by asset mix; optimized as data accumulates Facilities managing a full asset portfolio

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How To Choose the Right Maintenance Mix

Building the right mix is less about picking one winner and more about assigning each type to the assets that justify it.

  1. Rank assets by failure cost: Score each piece of equipment by what a failure costs in downtime, safety risk, and repair expense, not by how expensive or complex the equipment looks.
  2. Match a type to each tier: Let low-cost, low-risk assets run reactive maintenance. Move wear-prone, moderately critical equipment onto a preventive schedule. Reserve predictive and condition-based monitoring for assets where downtime is genuinely expensive.
  3. Audit your current mix: Pull maintenance records and calculate what share of work is reactive versus planned today. The gap between the mix teams think they run and the one their data shows surprises many manufacturers.
  4. Put the plan on a system: A computerized maintenance management system (CMMS) turns the plan into scheduled work orders, tracks parts and completion, and keeps the mix visible to the technicians executing it, not only the planner who built it.
  5. Review and adjust: Revisit the mix as failure data comes in. An asset that keeps breaking despite a preventive schedule is telling you it needs predictive monitoring instead.

Why the Type of Maintenance You Choose Matters

The type of maintenance behind a piece of equipment determines whether a failure is a scheduled event or a crisis. Get the mix wrong, and the bill shows up twice: Once in the repair, and again in the production you lost while it happened.

The stakes are well documented and current. Siemens' "True Cost of Downtime 2024" report estimates that unplanned downtime costs the world's 500 biggest companies about $1.4 trillion per year, equivalent to 11% of their revenue. Recovery is also taking longer: The average plant now needs 81 minutes to restart production after a stoppage, up from 49 minutes in 2019, as thinner maintenance staffing leaves fewer experienced hands on the floor when something breaks.

The type of maintenance you run directly shapes that risk. In its 2026 survey, Fluke found reactive maintenance holding flat at 36% of total activity, predictive maintenance doubling from 9% to 18%, and proactive maintenance slipping from 55% to 45% of activity over a single year.  Manufacturers are shifting budget toward predictive and AI tools faster than they're retiring the reactive habits underneath them.

The payoff for closing that gap is real. Siemens' 2024 report shows an 85% improvement in downtime forecasting accuracy among plants adopting predictive maintenance.

That gap between what works and what plants do is where overall equipment effectiveness (OEE) gets lost. Every reactive repair is availability the plant already forfeited.

Why Redzone is the Right Choice for 

Most plants can name all 6 types of maintenance and still default to reactive on most of the floor because nobody ever sat down and matched a strategy to each asset's failure cost. A $500 sensor doesn't need the same plan as a press that halts the entire line.

Start there: Rank your equipment by what a failure costs, assign preventive, predictive, or condition-based work to what justifies it, and let the rest run to failure on purpose. 

See how Redzone's Reliability software helps your team track that mix against real downtime instead of a maintenance calendar nobody checks.

How Can You Enhance Your System's Reliability?
Invest in solutions that ensure consistent performance and minimize downtime.
Is Excessive Downtime Bringing Your Plant Down?
Consistent performance fosters trust and drives long-term business growth.

Questions fréquemment posées

What is the most common type of maintenance?

Reactive maintenance is still the most common in practice. A 2026 Fluke Corporation survey of 600-plus manufacturing decision-makers found it holding flat at 36% of maintenance activity, even as digital investment rises elsewhere.

How many types of maintenance are there?

Most manufacturers group maintenance into 4 core types: reactive, preventive, predictive, and condition-based. Two broader philosophies, total productive maintenance and reliability-centered maintenance, combine those core types into a full strategy.

Is condition-based maintenance the same as predictive maintenance?

No. Condition-based maintenance acts when a live sensor reading crosses a set threshold. Predictive maintenance goes further, using historical data and analytics to forecast a failure before any single reading looks abnormal.

à propos de l'auteur

Katie Sanders

Katie Sanders is a Senior Content Writer at Redzone, where she makes complex operational and technical topics clear enough for manufacturers to act on.

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