Aftermarket field guide Industry research 03 · July 2026

How marketing works in the replacement filtration aftermarket

A research brief for marketing operations and demand leaders at filtration manufacturers, and for analysts studying how the reorder gets won: cross-reference tools, part-number search, channel data, and the sensor fight over replacement timing.

Evidence base
10 players mapped
Profit pool
~80% aftermarket at Atmus
Live event
Atmus split-off, 2024
Reader
Marketing ops + analysts
01

Headline counts

Dated public counts

Four numbers frame the market

Every figure is a dated public capture from filings, investor materials, or industry research. Analytical constructs such as map positions and the query ladder keep the est. label throughout this edition.

$1.67B Atmus Filtration FY2024 revenue, the pure-play filtration business Cummins let go Atmus FY2024 results, captured July 2026
~80% of Atmus sales come from the aftermarket: replacement filters, not first-fit Atmus investor materials (reported)
$3.5B Donaldson FY2024 net sales across engine, industrial, and life-sciences filtration Donaldson FY2024 Form 10-K; fiscal year ends July 31
~12.6 yr average age of US vehicles in operation in 2025; an aging parc eats more filters S&P Global Mobility, 2025 (reported)
02

Executive read

For aftermarket marketers and analysts

Four patterns explain how this market behaves

The manufacturers are the evidence base, not the audience. The useful unit of research is the pattern a marketer inside a filtration business can compare with their own funnel, lookup tooling, and channel data.

Pattern 01

The machine is sold once, the filter is sold for its life

Replacement filtration is a razor-and-blade market where the blade sells for 10 to 15 years after the razor. The aftermarket carries the recurring, higher-margin profit pool, which is why every position on the map comes down to how a player defends the reorder.

Pattern 02

The cross-reference tool is the marketing

A filter buyer does not shop a brand; they hold a spent part and look up its number. The tool that resolves a competitor part number into an equivalent owns the highest-intent moment in the category, doubling as lead capture, programmatic SEO surface, and defensive moat.

Pattern 03

Atmus has to build the demand it used to inherit

Cummins listed Atmus in May 2023 and completed the split-off in 2024. A roughly 80% aftermarket pure-play now funds its own brand search, content, and attribution for the first time, making it the live strategic event every competitor is reacting to.

Pattern 04

The reorder trigger is becoming a data fight

Condition-based replacement is displacing fixed intervals. OEMs stream machine data through telematics platforms; independents answer by putting the sensor on the filter itself. Whoever owns the signal that a filter is spent owns the timing of the sale.

03

The field

Six kinds of competitor

One reorder stream, six ways to defend it

Around the reorder sit two scaled independents, a private German group, a diversified giant, the OEM genuine-parts programs, and the will-fit importers. Each relates to the replacement stream differently, and the marketing follows the relationship.

Donaldson Digital incumbent

The most digitally mature independent: an open cross-reference, Shop e-commerce, and Filter Minder sensors, on $3.5B FY2024 net sales with aftermarket parts as the profit engine (reported).

Atmus / Fleetguard Post-spin pure-play

Fleetguard is designed into Cummins engines and inherits the genuine reorder; since the 2024 split-off the company has had to stand up its own demand engine.

MANN+HUMMEL / WIX Private group

The family-owned German group, roughly EUR 5B in sales (reported), bought WIX Filters and Purolator in 2016 and runs one of the best open cross-reference tools in the category.

Parker / Baldwin Diversified giant

Parker Hannifin acquired Clarcor for about $4.3B in 2017, taking Baldwin Filters with it: an aftermarket heavy-duty brand competing on cross-reference, availability, and price below OE.

OEM parts programs Dealer-gated

Caterpillar, John Deere, and Volvo sell genuine filters through captive dealer portals. High friction, high lock-in, defended with warranty leverage and value sub-brands rather than open-web search.

Will-fit imports Price-only

Low-cost copies sold through marketplaces on price alone. They free-ride the incumbents' part numbers, publish no cross-reference of their own, and absorb the most tariff exposure.

04

Market map

Aftermarket dependency × digital maturity

The interesting tension sits in the top band

Two forces decide who wins: how dependent a player is on the reorder stream, and how digitally it captures the reorder. The top band holds players who all live on replacement filters yet differ wildly in how they defend the part-number search.

Aftermarket dependency × digital maturity

Where living on the reorder meets the digital path that captures it

10 players · analyst estimates · July 2026
Digital / e-commerce maturity →
Aftermarket dependency →

Positions are analyst estimates (est.) synthesized from public revenue mix, product pages, and each player's digital footprint. They are not survey data or performance scores.

  • Atmus / Fleetguard: digital maturity 46 out of 100; aftermarket dependency 83 out of 100.
  • WIX: digital maturity 77 out of 100; aftermarket dependency 79 out of 100.
  • Donaldson: digital maturity 71 out of 100; aftermarket dependency 65 out of 100.
  • MANN+HUMMEL: digital maturity 57 out of 100; aftermarket dependency 71 out of 100.
  • Baldwin: digital maturity 37 out of 100; aftermarket dependency 76 out of 100.
  • Cat parts: digital maturity 65 out of 100; aftermarket dependency 53 out of 100.
  • John Deere: digital maturity 55 out of 100; aftermarket dependency 48 out of 100.
  • Volvo: digital maturity 43 out of 100; aftermarket dependency 46 out of 100.
  • Will-fit imports: digital maturity 18 out of 100; aftermarket dependency 85 out of 100.
  • Parker: digital maturity 29 out of 100; aftermarket dependency 36 out of 100.
Donaldson and WIX The reorder machines: aftermarket-dependent businesses that also built the digital path to capture the part-number search
Atmus / Fleetguard Lives on the reorder with a strong lookup, but post-spin it must convert an inherited installed base into self-generated demand
Will-fit imports and Baldwin Reorder-dependent but analog or price-led, exposed to whoever wins the search moment they rely on
OEM programs and Parker First-fit and dealer-led positions where the reorder is defended by lock-in and relationships rather than the open web
05

The lookup

The highest-intent moment in the category

The funnel is inverted and the tool owns it

The buyer holds a spent filter with a number printed on it. They are not researching; they are matching. Value rises as the query gets more specific, and the cross-reference tool that resolves a rival's number wins the sale at the moment of intent.

  • Donaldson Open cross-reference + e-commerce Broadest catalog of the independents; lookup feeds Shop.Donaldson directly
  • Atmus / Fleetguard Open cross-reference + FIT monitoring Heavy-duty depth tied to the Cummins-designed installed base
  • WIX (MANN+HUMMEL) Open cross-reference Among the best lookup UX in the category; strong North American parts-store coverage
  • Baldwin (Parker) Open cross-reference catalog Will-fit positioning, distributor-oriented
  • OEM programs Dealer-gated parts portals Genuine-only portals like Parts.cat.com; high friction, high lock-in
  • Will-fit imports None of their own Copies get discovered because they map to an incumbent's part number

The query ladder, by commercial value

Illustrative intent index (est.): an analytical ranking of how close each query type sits to a purchase, not measured search volume.

Competitor part number + cross reference A buyer ready to substitute; owning the resolution is the sale
highest
Exact part number Queries like LF3000 or P551000, straight off the spent filter
very high
Hydraulic filter cross reference Category-level substitution intent
high
Machine model + filter type Fuel, oil, or air filter for a named machine
high
Spec and how-to queries Change intervals and micron ratings; content earns the searcher
mid
Brand filters Navigational brand queries
mid
Best diesel engine filter Generic category research, farthest from the purchase
low
THE CATALOG ERA

The lookup was an IT asset

Most players run the part-lookup tool as catalog infrastructure with no attribution. Lookups happen, orders happen, and nothing connects the highest-intent event in the category to the revenue it produces.

THE MEASURED FUNNEL

The lookup becomes the channel

Instrumented as a marketing channel, every cross-reference search ties to a downstream reorder. That is what finally prices SEO, distributor traffic, and channel campaigns against revenue in this category.

What stayed

The part number as the unit of buying. The most specific query is still the most valuable one, and the long tail of part-number pages remains the category's core search asset.

What changed

Who owns the trigger. Fixed service intervals give way to condition-based replacement, and the filter-spent signal now sits in OEM telematics or on the independents' own filter sensors.

Why it matters

AI answer engines are the new leak: if a model resolves a cross-reference in the chat, the click never reaches the brand's tool. Feeding the answer with structured part data becomes the search defense of 2026.

06

Demand

What moves the reorder

Five forces set demand through 2026

Filter demand is a function of how many machines exist, how hard they run, and what spec they require, plus who decides when the filter gets changed. The structural forces favor whoever owns the data; the cyclical ones set the timing.

Fleet aging US vehicles in operation average about 12.6 years in 2025 (reported); high equipment prices keep machines maintained rather than replaced
STRUCTURAL
Telematics reorder triggers Condition-based replacement shifts the buying moment to whoever owns the filter-spent signal: OEM machine data or the independents' filter sensors
STRUCTURAL
Emissions spec change The EPA heavy-duty NOx rule finalized in December 2022 takes effect with model year 2027, pushing finer filtration specs that favor OE-spec brands
REGULATORY
Tariffs on imported parts Section 301 duties of 25% on many categories raise the landed cost of imported filters; 2025 to 2026 escalation rates vary by category (est.)
POLICY
Freight cycle Filter demand tracks engine hours and miles, not fleet count; the 2023 to 2024 freight downturn softened pull-through (reported)
CYCLICAL

Strength bars are a research synthesis of dated public evidence: relative and directional, not spend, survey, or attribution data.

07

Playbook

For anyone marketing in this category

Six plays follow from where the market is heading

Each play is something a marketer inside a filtration business can act on regardless of tooling, drawn from the moves already visible in the evidence.

01 · The funnel

Treat the cross-reference as a measured channel

Cross-reference searches are the highest-intent event in the category. Tying each lookup to the downstream reorder turns a catalog utility into the one channel whose value can be priced against revenue.

02 · AI search

Defend part-number resolution against answer engines

If a language model answers the cross for a part number, the click never reaches the tool. Structured part data, schema markup, and licensed feeds keep the brand inside the resolution.

03 · The Atmus lesson

Budget for demand a parent used to provide

A spun-off or challenger brand inherits an installed base but not a funnel. Brand search, content, and attribution become new line items exactly when scrutiny on marketing spend is highest.

04 · Channel data

Close the co-op and distributor reporting gap

Spend flows through distributors and dealers, so brands rarely see sell-through by campaign. Blending co-op, distributor POS, and digital data into one view is the hardest measurement problem in the category.

05 · Data ownership

Turn sensor signals into reorder prompts

Filter sensors and machine telematics can convert a filter-spent event into an automated, measurable reorder trigger. Whoever productizes that prompt owns the timing of the sale.

06 · Will-fit defense

Reframe the price threat as a risk decision

Tariffs raise will-fit landed cost, but copies still win on sticker price. Filtration performance, warranty, and uptime evidence convert a price comparison into a total-cost argument the incumbent wins.

08

Method

Public evidence, explicit limits

How the research was built

Evidence window July 2026

Public filings, press releases, and live product pages captured on July 29, 2026. Every figure carries its source and capture date.

Players read 10 mapped

Four independent manufacturers or groups, three OEM genuine-parts programs, WIX as a group brand, Parker as its diversified parent, and the will-fit import category as a bookend.

Sources Public only

SEC filings, investor materials, company newsrooms, regulator pages, and open product tools. No private, client, or platform data appears in this edition.

Estimates Labeled est.

Map positions, the query-intent ladder, and signal strengths are analytical constructs (est.), not survey or spend data; reported third-party figures keep the reported label.

Independent analysis by Improvado based on public information captured in July 2026. Company names, product names, and marks belong to their respective owners. Directional scores and category conclusions are research synthesis, not audited performance data; figures marked est. are analytical estimates and figures marked reported are third-party reports.