sales@contrivedatuminsights.com
CDI - Contrive Datum Insights
Automotive

Connected Tire MarketSize, Share & Industry Analysis, 2026-2034By Vehicle TypeBy Rim SizeBy TechnologyBy Sales ChannelBy Application

Full title & scope — all 5 axes with their segments

Connected Tire Market Size, Share & Industry Analysis, By Vehicle Type (Commercial Vehicles, Passenger Cars, Others), By Rim Size (18" – 21", 12" – 17", More than 22", Others), By Technology (TPMS-Integrated Sensors, RFID Tags, Embedded Cellular/IoT Sensors), By Sales Channel (OEM, Aftermarket), By Application (Fleet Management & Telematics, Predictive Maintenance & Safety Compliance, Off-Highway & Specialty Applications), and Regional Forecast, 2026-2034

Last Updated: Sep 21, 2026Report ID: CDI-248494
Methodology

How the estimates were built: data sources, modelling approach and validation steps.

Research approach

A market size is a claim about the world, and a claim is only as good as the route to it. Every study is built upward from units and prices — what is actually produced, sold or performed, at what it actually changes hands for — rather than from a headline figure divided downwards. Disclosed company revenue is then used to check that build, not to produce it.

Market size estimation, this report

The size was built upward from unit volumes: OEM-fitted sensor and connectivity modules shipped with new passenger and commercial tires, plus aftermarket retrofit kits sold into vehicles already in service, each multiplied by its realized average selling price by rim-size and vehicle-type band. Volumes were anchored to global tire production and replacement-cycle data, since a connected tire is still a tire before it is a sensor. That build was checked against the tire-segment and connected-mobility revenue lines that major tire manufacturers disclose separately from their core tire business. Where the two diverged, the correction was made to the underlying attach-rate or average-selling-price assumption in the bottom-up build rather than to the disclosed company figures themselves.

The four stages

The same sequence runs behind every published study, whatever the industry. The order matters as much as the steps: the segment axes are fixed before any number is collected, so the model is never reshaped to fit whatever data happens to turn up.

1
Scope and segmentation
2
Bottom-up sizing
3
Reconciliation
4
Forecast

What the build rests on, and what checks it

The two are not interchangeable. The left column produces the number; the right column tests it. When the check disagrees with the build, the answer is to find which bottom-up assumption is wrong — a unit count, a price, a take-up rate — not to split the difference between them.

The bottom-up build rests on
  • Volume actually transacted — units produced, installed, dispensed or procedures performed, counted at the level each is genuinely recorded
  • Realised pricing by tier and channel, rather than one blended average applied across the whole market
  • Take-up and frequency: how much of the addressable base buys, and how often it repeats
The build is checked against
  • Disclosed revenue of the companies serving the market, where filings separate it far enough to be usable
  • Buyer-side spending totals — capital budgets, procurement lines, or the output of the end market the product is bought against
  • Trade and customs flows, where the product crosses borders in a separately recorded form
Bottom-up sequence
1
Size the base
2
Apply take-up
3
Apply frequency
4
Apply realised price
Reconciliation sequence
1
Gather disclosed revenue
2
Strip out-of-scope lines
3
Compare against the build
4
Correct the assumption

Data sources

Published data establishes what happened. Only the people transacting in a market can say why, and what is about to change — so the two are collected separately and weighted differently.

Primary — who is interviewed
  • Commercial and product leadership at the companies that supply the market
  • Procurement and specification leads at the organisations that buy it
  • Distributors, integrators and channel partners, where the market is served indirectly
  • Regulatory and standards specialists, where approval governs what can be sold at all
Secondary — what is read
  • Company filings, annual reports and investor disclosure
  • Government statistics, customs records and regulatory registers
  • Trade association output and standards-body publications
  • Technical and peer-reviewed literature, where the market rests on a clinical or engineering claim
Primary research design, this report

Primary interviews target the commercial and procurement roles that decide whether a fleet or OEM actually buys connected-tire capability: fleet maintenance and telematics managers at commercial trucking and logistics operators, tire category and program managers inside OEM purchasing organizations, and regulatory affairs contacts tracking tire-pressure and safety mandates. Aftermarket distributors and fitment-network operators are included to capture retrofit pricing and installation practice, since that channel behaves differently from factory fitment. Sampling weights North America and Europe, where fleet telematics adoption and tire-pressure monitoring mandates are furthest along, with a smaller Asia Pacific sample concentrated in China and Japan to capture the region's tire-manufacturing base and its own emerging fleet-monitoring programs.

Secondary sources, this report

Desk research draws on national vehicle-registration and tire-production statistics published by tire-industry associations such as the European Tyre and Rubber Manufacturers' Association and the Tire Industry Association, customs trade data filed under the tire and automotive-electronics harmonized system codes, and the tire-pressure-monitoring-system regulatory filings tied to UNECE Regulation No. 64 and the equivalent U.S. TREAD Act requirements. Public company filings, investor presentations and patent filings covering embedded tire sensors and RFID tags fill in supplier-level detail, and fleet-telematics industry benchmarks published by commercial vehicle and logistics trade bodies size the fleet-management application segment specifically.

Desk research runs across proprietary research databases including Factiva, OneSource and Hoovers alongside the public sources above. Modelling and statistical validation are run in SAS and SPSS.

Forecasting

The forecast is not a growth rate applied to a base year. It is built from the drivers that are expected to change, each one stated so a reader can disagree with it.

Forecast approach, this report

The forecast is built from the pace at which OEM factory fitment of connected tire technology extends from premium and commercial vehicles into mainstream passenger models, and from the rate at which fleet operators retrofit vehicles already on the road once payback periods shorten. Regulatory tightening of tire-pressure and condition-monitoring requirements is treated as a step change in specific years and regions rather than a smooth trend. Realized pricing is assumed to decline as sensor and connectivity hardware costs fall, partly offsetting unit growth. The forecast normalizes for the unusually small base the category is forecast from, so early-period growth rates are treated as a scaling effect rather than sustained indefinitely.

Triangulation and validation

No figure enters a report on the strength of one source. Where the two sizing routes disagree the difference is not averaged away — the assumption causing it is isolated, tested against a third independent measure, and either corrected or carried forward as a stated limitation. Historical years are back-tested against the growth actually recorded before any forecast is allowed to run forward from them.

Validation, this report

Outputs were back-tested against recorded tire-industry unit growth and prior published estimates for this category to confirm the build does not imply a break from historical shipment trends. Segment-level shifts, particularly the move of share from pressure-sensor-only technology toward embedded cellular connectivity, were reviewed against the technology roadmaps that major tire and telematics suppliers have stated publicly. Sensitivities were tested on the two assumptions the forecast leans on hardest: the pace of OEM fitment expansion into mainstream passenger vehicles and the average selling price decline for sensor hardware, since a change in either has the largest effect on the outer forecast years.

Confidence and limitations

Where an estimate is firm and where it is not is stated rather than left to be inferred from the precision of the number.

Confidence framing, this report

Confidence is firmest in the commercial-fleet and OEM-fitment segments, where telematics adoption is already visible in vehicle-registration and fleet-management data. It is weaker in the aftermarket retrofit and off-highway categories, where reporting is thin and adoption is harder to observe directly. The estimate also sits well below some previously published figures for this category and well above others, reflecting how narrowly different publishers define connected tire technology; a broader or narrower scope decision by a future publisher could shift the base meaningfully. A material change in tire-pressure-monitoring regulation timing in any major market would be the most likely reason to revise this forecast.

Scope

Questions This Report Answers

6 questions
01

What is the market size and growth rate, globally and by region?

02

How is the market segmented, and which segments lead?

03

Which regions and countries are covered, and how do they compare?

04

What are the key drivers, restraints, opportunities and challenges?

05

Who are the leading companies operating in this market?

06

What trends are expected to shape the market through the forecast period?

Questions

Frequently Asked Questions

01What is the Connected Tire Market projected to reach?

USD 410 Million by 2034, CAGR 38.4%

02What years does this report cover?

Study period 2020–2034, base year 2025, historical data 2020-2024, forecast period 2026-2034.

03Which regions are covered?

North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

04Which region accounted for the largest market share?

Asia Pacific leads with 33.9% of global revenue through 2034.

05Which segment leads the market?

Commercial Vehicles is the largest line by Vehicle Type, at 51.8% of revenue in 2025.

06Who are the key companies profiled?

Toyo Tires (Japan), Michelin (France), Pirelli & C. S.p.A. (Italy), Goodyear Tire & Rubber Company (U.S.), Continental AG (Germany), Bridgestone Corporation (Japan), Nokian Tyres plc (Finland), Trelleborg AB (Sweden), Sumitomo Rubber Industries, Ltd (Japan), JK Tyres (India), Others. Full profiles are part of the paid report.

07Can the segmentation be customized?

Yes. Custom data cuts by geography, segment, or competitor set are available on request.

425+
Dedicated research analysts
1,200+
Reports published
Why CDI

Why choose CDI

Data triangulated across primary and secondary sources
Complimentary analyst call included with every purchase
Custom data cuts and post-purchase support available

Need this report shaped around your question?

The scope isn't fixed. Tell us what your team needs that the standard edition doesn't cover, and an analyst will come back on what can be adjusted and how long it takes, before you commit to anything.

Most licences include 3060 hours of customization at no extra cost. See what each licence includes

Request customization

Additional Companies

Add competitors, suppliers or the peer set you benchmark against to the companies already covered.

Deeper Competitive View

Sharpen the landscape work around your own position: product line, channel, or a named shortlist of rivals.

Extra Segment Splits

Break the market down along an axis the standard scope doesn't cut it by, or go a level deeper inside one.

Application Focus

Narrow the analysis to the specific use cases and end users your team actually sells into.

Different Time Frame

Move the base year, or widen the historical and forecast windows the study is built on.

Country-Level Detail

Go below region level into the individual countries that matter to you, rather than the standard geography split.