The opportunity already exists in the equipment population. Every machine creates a sequence of needs: consumables, inspections, replacement parts, repairs, training, software, upgrades and eventual overhaul. The OEM loses the opportunity when it cannot see the installed unit, recognize the event or turn the event into a credible offer before the customer finds another route.
Large service businesses treat the installed base as a commercial system. Epiroc reported that aftermarket accounted for 66% of its 2025 revenue. Wärtsilä reported that services accounted for 52% of 2025 sales. Those numbers come from years of product design, field coverage, parts supply, service execution and agreement discipline. They do not come from one marketing campaign.
This playbook shows how an industrial OEM can measure its available aftermarket, choose the right offer for each asset, create demand from real operating events and preserve the margin after the work begins.
Start with the active equipment population
Count physical units before setting a revenue target. Separate shipped units from active units. A 20-year shipment file can include scrapped machines, resales, duplicate serials, demo units, assets that moved across sites and machines that the OEM no longer supports.
Give each unit a commercial status: confirmed active, probably active, inactive, unknown or excluded. Record the evidence date. A technician visit, recent parts order or telemetry connection can confirm activity. An old invoice cannot.
Then measure how much of the fleet the commercial team can reach. A known serial without a current owner, site contact or service channel still has little sales value. The first growth task may be identity and contact recovery, not promotion.
| Population measure | Definition |
|---|---|
| Shipped base | All serialized equipment delivered by the OEM |
| Estimated active base | Units likely to remain in service after retirement and resale adjustments |
| Confirmed active base | Units with recent operational evidence |
| Configuration coverage | Active units with a usable as-maintained product state |
| Contact coverage | Active units tied to a current owner, site and buying contact |
| Commercially reachable base | Active units the OEM or an authorized channel can serve |
Calculate the opportunity at asset level
A single “aftermarket market size” hides the actions required to win it. Build the opportunity from each asset, its expected needs and the share that the OEM can address. Use equipment family, age, duty cycle, environment, maintenance strategy, contract coverage and local channel to estimate the annual need.
For a transactional category, the basic calculation is active units × expected events per unit × average revenue per event × attainable capture. Calculate parts, field labor, repair, consumables and upgrades separately because each has a different need rate and capture path. For agreements, use eligible units × attach or renewal rate × annual contract value.
Treat the result as a forecast with assumptions, not a booked pipeline. Show the data coverage and confidence behind it. If the model assumes every shipped machine still operates, it will produce an impressive number that no sales team can pursue.
| Opportunity layer | Calculation |
|---|---|
| Replacement parts | Active units × annual part events × revenue per event × attainable capture |
| Consumables | Active units × usage rate × operating hours × OEM share |
| Repair and exchange | Eligible failures × repairable share × acceptance rate × revenue per job |
| Service agreements | Eligible units × target coverage × annual contract value |
| Retrofits | Eligible configuration gap × campaign response × conversion × project value |
| Training and software | Eligible sites or users × attach or renewal rate × annual value |
Measure the gap between available and captured revenue
Compare expected demand with the OEM’s recorded revenue by asset family, site and offer. The difference gives the team a place to investigate. It does not prove that a competitor won the missing amount. The customer may self-service, hold old stock, defer maintenance, use a local repair shop or run the machine less than expected.
Use several signals together: low parts spend against operating hours, no service order after an alarm, an expired agreement, repeat purchases through an unknown reseller, a field modification without an OEM kit or a site with ten active machines and one known contact. Each signal should point to a specific question and owner.
Avoid ranking accounts on revenue alone. A customer with low current spend may have low need, complete internal maintenance or a large unserved fleet. The account manager needs the reason before choosing the next action.
Build an offer ladder around the machine lifecycle
Map every offer to a customer event and a product state. A generic catalogue asks the buyer to diagnose the need. A usable offer names the affected equipment, the reason to act, the included scope, the result and the next decision.
Epiroc’s 2025 aftermarket portfolio spans replacement parts and kits, service agreements, audits, remanufacturing, midlife services, training, digital products, conversion kits and cost-per-meter contracts. The breadth matters because the same fleet produces different needs as it ages.
| Lifecycle moment | Customer need | OEM offer |
|---|---|---|
| Commissioning | Reach rated output and train operators | Startup, training and initial spares |
| Early operation | Stabilize performance and close warranty issues | Inspection, warranty service and remote support |
| Steady use | Maintain uptime and replenish wear items | Consumables, planned parts and preventive service |
| Component failure | Restore operation quickly | Emergency spare, repair or exchange |
| Midlife | Recover performance or meet a new requirement | Overhaul, controls update, retrofit or capacity upgrade |
| Late life | Manage obsolescence and support risk | Last-time buy, migration kit, extended support or replacement plan |
Win repeat parts and consumables through availability
Repeat purchases depend on fit, speed and ease. The OEM should know which part fits the installed configuration, where stock sits, what the complete kit contains and when it can arrive. A slow or uncertain answer trains the customer to use a distributor or independent source.
Set replenishment logic for predictable wear items. Use operating hours, production units, cycles or historical intervals to estimate need. Ask the customer to confirm the relevant asset and current stock before creating an automatic order. The goal is timely supply without sending unwanted inventory.
For long-tail spares, improve identification before expanding stock. A larger warehouse will not fix a poor relationship between the installed machine, service BOM, supersession chain and customer request. The spare-parts quoting playbook covers that decision in detail.
Use repair, exchange and remanufacture to retain expensive components
Customers often avoid the OEM when the only offer is a new high-value assembly. Add repair, remanufacture and exchange where the product and quality system support them. These routes can lower customer cost, shorten downtime and bring failure evidence back to engineering.
Define the commercial rules before selling the service: inspection charge, standard repair scope, excluded damage, quote-after-teardown threshold, turnaround, warranty, core value, return deadline and ownership. Track the physical serial through receipt, repair, exchange and return. Margin disappears quickly when cores arrive late or in the wrong condition.
Use repair findings to improve the installed record and product. Repeated contamination, heat damage or software faults can create a preventive campaign, design change, training offer or site audit.
Grow agreement coverage where the customer values certainty
A service agreement should change the customer’s operating result. It can secure response time, scheduled maintenance, parts availability, remote monitoring, cost predictability or performance. Packaging the same ad hoc work into an annual invoice will not create durable value.
Choose eligible assets by criticality, maintenance maturity, location, age, supportability and data access. Price the promised scope and risk. Name customer responsibilities such as operating limits, access, inspections and approved consumables. Do not promise uptime when the OEM cannot control the required inputs.
Epiroc reported 31% of equipment under service contract in 2025. Wärtsilä reported agreement coverage above 30% of its operating installed base. Both figures show room between a large installed population and the portion suitable for contract coverage.
| Agreement level | OEM commitment | Customer reason to buy |
|---|---|---|
| Planned maintenance | Named inspections, labor and scheduled parts | Fewer missed tasks and predictable visits |
| Response | Priority support and response-time target | Faster recovery after an unplanned event |
| Availability support | Parts plan, monitoring and service coordination | Lower outage exposure |
| Full maintenance | Defined preventive and corrective scope | One accountable service plan and budget |
| Performance-based | Measured output, efficiency or availability commitment | Payment tied to an operating result |
Treat performance contracts as a risk business
Usage and performance contracts can produce recurring revenue, but they also transfer operating risk to the OEM. Model failure rates, overhaul intervals, labor, parts inflation, logistics, customer behavior and product improvement across the full term. Give one owner authority over the commercial assumption and the service plan that supports it.
Rolls-Royce reported 14,263 in-service Civil Aerospace engines at the end of 2025, with a majority covered by long-term service agreements. Its annual report also describes six value levers: extend time on wing, lower shop-visit cost, reduce product cost, keep engines earning longer, apply value-based pricing and strengthen contract discipline. That list shows why the contract cannot live only in sales.
The same report states that a 2% increase in estimated remaining costs on large-engine long-term aftermarket contracts could add £50 million to £70 million to contract-loss provisions. An industrial OEM should begin with narrow commitments and reliable asset data before it sells a broad outcome guarantee.
Create upgrade demand from a real configuration gap
A retrofit campaign needs three facts: the current configuration, the available change and the reason this customer should act. The trigger can be obsolescence, safety, regulation, energy cost, capacity, quality, connectivity or loss of technical support.
Define eligibility as a configuration rule. Then calculate the installed population that meets it. Separate technically eligible units from commercially likely units. An energy-saving drive package may fit 500 machines, but sites with low usage, planned replacement or cheap power may not justify it.
Show the customer the current baseline, the proposed change, expected operating effect, required outage, dependencies and support period. Use site data where available. Avoid a generic percentage claim when load profile and duty cycle decide the result.
Use age as a clue, then inspect condition and duty
Old equipment can create parts and modernization demand, but calendar age alone does not predict the next need. A lightly used machine in a clean plant and a younger machine in abrasive continuous duty should not receive the same offer.
Epiroc reported an average operating-fleet age of 8.6 years in 2025 and 38% of the fleet older than ten years. It connects that aging population to parts, remanufacture, midlife upgrades and a regional supply network. The useful lesson is operational: age creates a candidate list, then configuration, condition and use determine the offer.
Turn field events into specific commercial actions
The service organization sees demand before marketing does. An inspection finds an obsolete control. A technician records repeated seal wear. A warranty case identifies an operator problem. A parts order shows that the customer still runs a machine marked inactive. Each event should update the asset and create a named follow-up when action makes sense.
Define trigger rules with timing, evidence, suppression and ownership. Suppress a trigger when the customer already bought the work, the asset retired, a dealer owns the account or the recommendation conflicts with an open technical case. A large pile of undifferentiated leads will destroy trust in the system.
| Trigger | Commercial action |
|---|---|
| Warranty expires in 120 days | Offer inspection or support agreement |
| Planned service interval approaches | Prepare the correct service kit and visit |
| Part enters end-of-support | Identify affected assets and offer migration paths |
| Repeated component failure | Route engineering review, then propose the approved correction |
| Machine changes owner or site | Confirm contacts, entitlement and service responsibility |
| High operating hours with low OEM spend | Validate usage and maintenance source before outreach |
| Field visit finds configuration gap | Offer the specific released retrofit |
Protect dealer and distributor relationships
Many OEMs reach the installed base through dealers, distributors and independent service partners. Decide who owns the customer, quote, inventory, labor, warranty and installed-state update for each market. If the OEM contacts every end user directly, the channel will stop sharing information. If the channel shares no asset data, the OEM cannot support the product well.
Give partners useful leads with the asset, reason, recommended offer and source evidence. Track acceptance, quote, order and completion. Use a clear revenue or referral rule. Let the partner correct owner, site and configuration data, with review for changes that affect engineering or warranty.
Attach the first service offer during the equipment sale
The first aftermarket sale starts before commissioning. The equipment quote should define startup, training, recommended initial spares, warranty requirements, inspection points, maintenance schedule, software terms and support options. Record the accepted and declined items against the serialized unit.
Offer the agreement when the customer can evaluate it against the equipment risk and operating plan. Waiting until twelve months after delivery forces the service team to rebuild the relationship. The handoff should pass the commercial contact, technical configuration, site conditions, promised support and first service date into the installed-base record.
Make renewals an operational review
Begin the renewal before the notice period. Show the assets covered, work completed, response performance, parts used, open recommendations, avoided failures where evidence supports them and the coming-year plan. Resolve disputes before the commercial deadline.
Separate price change from scope change. If the fleet, duty, locations or service level changed, show the effect. If cost inflation drives the increase, use the contract rule. Do not hide several changes inside one renewal percentage.
Wärtsilä reported agreement renewal rates above 90% in its 2025 strategy update. That result sets a useful management question: which agreements failed to renew, and did value, execution, scope, price, asset retirement or customer ownership cause the loss?
Remove friction from quote to service delivery
An attractive offer still fails if the OEM takes two weeks to identify the machine, confirm a part or schedule a technician. Measure the handoffs from signal to qualified opportunity, engineering answer, supply promise, quote, acceptance, order, execution and asset update.
Use the installed record to prefill the offer. Pull entitlement, contract price, service BOM, stock, technician eligibility and site requirements from their owning systems. Ask the customer only for information the OEM cannot recover. Preserve every approved assumption through the order so service does not diagnose the commercial request again.
Price the offer and preserve trust
Aftermarket pricing should account for cost, scarcity, criticality, competition, lifecycle, contract and customer segment. It should also stay explainable. A customer who discovers arbitrary differences across sites, channels or emergency situations will search for substitutes and resist future agreements.
Create pricing policies by part and service class. Protect margin on premium freight, engineering work, low-volume legacy support and guaranteed response. Give the approver the complete expected cost and the customer history. Record the reason for each exception so the team can later see whether discounts changed capture, retention or contribution.
Measure profit after the work closes
Revenue can grow while the service business loses money. Reconcile quoted scope with actual parts, labor, travel, freight, subcontractors, warranty, concessions and return credits. Performance agreements also need provision and future-cost review.
Measure profitability by offer, asset family, contract, customer, region and channel. Separate standard execution from exceptional failure. A contract can look weak because the price is wrong, the product fails too often, field teams overrun, parts arrive late or the customer operates outside the agreed conditions. Each cause needs a different fix.
Konecranes reported a 21.8% comparable EBITA margin for Industrial Service in 2025, compared with 10.5% for Port Solutions on its business-area figures. The comparison does not set a universal target, but it shows why an OEM should manage service as a distinct economic engine.
| Measure | Question it answers |
|---|---|
| Aftermarket revenue per active unit | How much revenue does the active fleet produce? |
| Capture by offer | How much estimated demand does the OEM win? |
| Agreement attach and renewal | How much eligible equipment enters and stays under contract? |
| Quote conversion | Do customers accept the offer at the stated scope, price and date? |
| First-time fix and kit completeness | Does execution solve the need without another visit or shipment? |
| Quoted-to-actual contribution | Did the work preserve the expected economics? |
| Installed-record closure | Did execution improve the next commercial decision? |
Worked example: turn a press fleet into an addressable plan
An OEM has shipped 1,180 forming presses over 18 years. Its ERP shows 920 customers and ship-to records, but service history confirms only 640 active presses. Distributor records and customer outreach identify another 170 active units. The team classifies 140 as probably active, 160 as inactive and 70 as unknown.
Of the 810 confirmed active presses, 520 have a reliable current configuration and 690 have a named site contact. The team does not apply one revenue assumption to all 1,180 shipments. It builds four offers from real product rules and service events.
First, 228 presses use a control platform entering end-of-support. Engineering releases two migration kits by machine option. Second, 310 high-cycle presses need a clutch inspection every 4,000 hours; 84 approach the interval in the next six months. Third, 190 presses qualify for an exchange program on the main servo drive. Fourth, 146 critical presses lack a response agreement despite recent unplanned service.
The OEM sends each account a machine-specific case. The end-of-support offer names the installed control, deadline, kit, outage and support term. The inspection offer uses actual hours or the site’s production estimate. The exchange offer states turnaround and core conditions. The agreement offer shows prior callouts and the proposed response level.
After one quarter, the team reviews conversion and execution by offer. It also records rejected reasons: planned asset replacement, budget timing, internal maintenance, competitor contract, wrong configuration and no current need. Those answers improve the active-fleet model and the next campaign.
| Offer | Eligible units | Immediate evidence needed |
|---|---|---|
| Control migration | 228 | Current control, machine option and planned outage |
| Clutch inspection | 84 due soon | Hours, last inspection and production schedule |
| Servo exchange | 190 | Installed drive, failure mode and core condition |
| Response agreement | 146 | Criticality, service history, location and support expectation |
Run one weekly aftermarket review
Use one operating review for population coverage, qualified asset opportunities, open quotes, constrained parts, upcoming renewals, retrofit campaigns, service execution and margin exceptions. Organize the review by decision, not by department report.
Close stale opportunities when the trigger no longer applies. Assign one owner and next date to every live case. Escalate data conflicts that block several opportunities, such as an incomplete service BOM or missing dealer feed, as product work with a named business impact.
Give each team a clear decision
Sales or the account owner confirms customer priority and commercial timing. Service owns the maintenance strategy, execution capacity and field feedback. Parts owns availability and logistics. Engineering owns fit, retrofit and support rules. Pricing and finance own policy and economics. Channel leaders own partner rights and incentives. Product support owns the installed record and service BOM quality.
One aftermarket leader should own the combined growth model. That person reconciles asset opportunity, pipeline, execution and contribution. Without one owner, each function can meet its own target while the customer still receives the wrong offer late.
Know which system owns each record
The installed-base system should own equipment identity, location and current configuration. PLM or service engineering should own released service BOMs, support status and retrofit effectivity. ERP should own items, stock, orders, invoices and cost. Field service should own work execution and debrief. CRM should own contacts, opportunities and commercial activity. Contract systems should own entitlement and obligations.
The growth workflow reads those records, decides the next action and writes the accepted result back. It should not create another disconnected customer, asset or item master. When records conflict, show the source and route the correction to its owner.
How Bourne runs aftermarket growth work
Bourne assembles the active fleet from shipments, ERP transactions, service history, contracts, telemetry, dealer files and field updates. It preserves source evidence and confidence, so the team can separate confirmed assets from assumptions.
The application applies product and commercial rules to each asset. It can identify an approaching service interval, end-of-support control, missing agreement, repeat failure or low-capture account; prepare the correct parts, service or retrofit offer; and route technical and price exceptions to the right person. A person approves uncertain identity, engineering recommendations and material commercial commitments.
Bourne then carries the accepted offer into the existing order, service and contract systems. After execution, it captures the installed change, actual cost and result. The next opportunity begins with a better record of the machine and the account.
Pilot one fleet and four offers
Choose one equipment family with a meaningful active population, known service demand and enough product knowledge to act. Reconcile the active assets and contacts. Then select four offers that use different triggers: one repeat-parts need, one scheduled service event, one retrofit and one agreement or renewal.
For every candidate, confirm the asset, configuration, trigger, channel, contact, scope, price and delivery basis. Track whether the team contacted the customer, produced a valid quote, won the work, executed it profitably and updated the installed record. Review every rejection and false trigger.
Judge the pilot on revenue, fleet coverage, qualified opportunities, quote effort, contribution and the quality of the installed record after execution.
Buğra Gündüz
Buğra Gündüz is the co-founder and CEO of Bourne and co-founder of HockeyStack. He built HockeyStack into an eight-figure AI business. At Bourne, he works with entrepreneurs and established companies to create AI products and services.