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Automotive Ubi Usage Based Insurance MarketSize, Share & Industry Analysis, 2026-2034By TypeBy TechnologyBy Vehicle AgeBy Vehicle TypeBy Distribution Channel

Full title & scope — all 5 axes with their segments

Automotive Ubi Usage Based Insurance Market Size, Share & Industry Analysis, By Type (Pay-as-you-drive, Pay-how-you-drive, Manage-how-you-drive), By Technology (OBD-II-based UBI programs, Smartphone-based UBI programs, Hybrid-based UBI programs, Black-box-based UBI programs), By Vehicle Age (New Vehicles, Used Vehicles), By Vehicle Type (Light-Duty Vehicle, Heavy-Duty Vehicle), By Distribution Channel (Direct-to-Consumer, Insurance Agents and Brokers, OEM-Embedded Programs), and Regional Forecast, 2026-2034

Last Updated: Sep 21, 2026Report ID: CDI-3343
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

Market size was built upward from the number of vehicles enrolled in a usage-based program in each country, split by vehicle type and by program model, multiplied by the average annual premium realized for that program type. Enrolled-vehicle counts were assembled from national vehicle parc data combined with published usage-based-insurance penetration rates by country. This bottom-up build was then checked against disclosed telematics and connected-insurance revenue reported by major auto insurers in their own filings and investor materials; where the two diverged, the enrolled-vehicle or average-premium assumption underlying the bottom-up figure was revisited and corrected instead of averaging the two results together.

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 research targeted underwriting and product executives at auto insurers who set usage-based pricing and program design, telematics and connected-car technology vendors who supply the scoring platforms, claims and actuarial staff who assess how usage data changes loss ratios, and insurance regulators who approve rate filings tied to telematics-based pricing. Sampling weighted toward the United States, the United Kingdom, Italy and China, the countries where usage-based programs have the longest operating history and the deepest base of enrolled vehicles, with additional coverage of insurance brokers and automaker partnership teams in markets where OEM-embedded distribution is expanding fastest.

Secondary sources, this report

Desk research drew on rate and form filings lodged with state insurance regulators in the United States, the UK Financial Conduct Authority registers, and IVASS supervisory data covering Italy's motor insurance market, all of which disclose usage-based product terms and, in some filings, enrolled-policy counts. National vehicle registration and parc databases supplied the vehicle population each program's enrollment rate was applied to, and publicly listed insurers' annual report disclosures on telematics or connected-insurance revenue anchored the top-down check.

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 new-vehicle telematics becomes standard equipment, the rate at which insurers extend smartphone-based enrollment to the existing vehicle parc, and the premium differential usage-based programs sustain relative to standard policies as scoring accuracy improves. It assumes usage-based pricing keeps lowering loss ratios enough for insurers to keep discounting enrolled policies, and that no major jurisdiction restricts telematics-based pricing on privacy grounds during the forecast period. Vehicle-parc growth by country and continued OEM connectivity rollout are treated as the primary volume drivers, with premium levels held to a gradual increase rather than a stepped one.

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 each country's recorded usage-based-insurance enrollment growth over 2020-2024 to confirm the bottom-up build reproduces observed history before it is extended forward. Segment-level shifts, including the move from OBD-II hardware toward smartphone-based enrollment and the growing share of OEM-embedded programs, were reviewed against the pace of change already visible in the historical data instead of being assumed to accelerate. The forecast was also tested under slower new-vehicle-connectivity and slower regulatory-approval sensitivities to confirm the bear case stays internally consistent with a materially slower telematics rollout.

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 strongest for the United States, the United Kingdom and Italy, where usage-based insurance has the longest operating history and insurers disclose the most detail on enrollment and telematics revenue. It is weaker for Middle East and Africa and parts of Latin America, where usage-based programs are newer and enrollment reporting is thin, and for the fastest-growing technology and distribution categories, where a small base makes the growth rate more sensitive to a single large program launch or exit. A shift in data-privacy regulation in any major market is the clearest risk that would force a revision.

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 Automotive Ubi Usage Based Insurance Market projected to reach?

USD 240.7 Billion by 2034, CAGR 15.69%

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?

North America leads with 38% of global revenue through 2034.

05Which segment leads the market?

Pay-as-you-drive (PAYD) is the largest line by Type, at 48% of revenue in 2025.

06Who are the key companies profiled?

Allianz, AXA, Progressive, Generali Group, Insure The Box Ltd, Allstate, Desjardins, Metromile, Liberty Mutual, Aviva, Admiral Group, Ageas.. 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.

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Data triangulated across primary and secondary sources
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