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Usage-based Insurance Market - Global Forecast 2025-2032

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    Report

  • 199 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 4986008
UP TO OFF until Jan 01st 2026
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The Usage-based Insurance Market grew from USD 28.50 billion in 2024 to USD 33.16 billion in 2025. It is expected to continue growing at a CAGR of 16.94%, reaching USD 99.72 billion by 2032.

Uncovering Emerging Trends, Regulatory Drivers, and Technological Innovations Revolutionizing Usage-Based Insurance Across Global Markets Today

Usage-based insurance has rapidly evolved from a novel concept into a transformative force within the broader insurance ecosystem. It harnesses data drawn directly from driver behavior, vehicle usage and contextual factors to refine risk assessment, personalize premiums and incentivize safer driving practices. As telematics capabilities have matured over the past decade, insurers have gained unprecedented visibility into real-world driving patterns, moving beyond traditional demographic and historical loss metrics.

Against this backdrop, regulatory bodies worldwide are updating frameworks to accommodate data-driven underwriting, striking a balance between consumer protection and innovation. In parallel, consumers have grown more receptive to transparent pricing models that reward efficient driving and reduced mileage. They also expect seamless digital experiences, from policy enrollment to claims management. These dynamics have converged to create fertile ground for insurers to differentiate offerings, deepen customer relationships and capture untapped value.

This introduction lays the foundation for a deeper exploration of the key forces at play. It sets the stage for understanding how technologists, actuaries, underwriters and regulators are collaborating to reshape risk paradigms. As we navigate this landscape, the interplay between cost pressures, consumer expectations and technological advancements will reveal both opportunities and hurdles for insurers aiming to lead in usage-based offerings.

How Telematics Advancements, Artificial Intelligence and Consumer Behavior Shifts Are Redefining Risk Assessment and Pricing Models in Usage-Based Insurance Markets

The usage-based insurance landscape has undergone profound shifts as telematics technology enters its next phase of maturity. Embedded connectivity within vehicles now captures a wealth of real-time data points, ranging from acceleration and braking patterns to location and environmental conditions. These insights, powered by on-board diagnostics and sophisticated smartphone integrations, are fueling more granular risk models that adapt dynamically to driving behavior.

Simultaneously, advancements in machine learning and artificial intelligence have elevated the ability to analyze terabytes of telematics data. Predictive algorithms now detect nuanced risk factors, such as distracted driving and specific road-context hazards, enabling insurers to tailor policies with unparalleled precision. This shift toward proactive risk management is transforming the traditional claims paradigm into one centered on prevention and engagement.

Moreover, changing consumer preferences are driving insurers to bundle usage-based products with value-added services such as coaching feedback, rewards programs and seamless mobile interfaces. These offerings reinforce positive driving behavior while generating richer data streams for continuous refinement of underwriting models. As a result, industry incumbents and new entrants alike are reimagining pricing strategies, partnership structures and customer engagement tactics to align with this data-centric reality.

Assessing the Cumulative Impact of United States Tariffs Introduced in 2025 on Supply Chains, Telematics Components and Pricing Structures in Usage-Based Insurance

The introduction of new tariffs by the United States in 2025 has introduced complex considerations for insurers relying on global supply chains to source telematics hardware. Components such as connectivity modules, sensors and microprocessors have experienced cost increases, compelling vendors to reassess manufacturing footprints and pricing strategies. Insurers are now grappling with the implications of higher equipment expenses alongside the need to maintain competitive premium levels and service offerings.

In response, some carriers have accelerated partnerships with domestic suppliers to mitigate duty impacts, while others are renegotiating long-term contracts to secure more favorable terms. These shifts have prompted a renewed focus on total cost of ownership for telematics solutions, including installation, maintenance and software licensing. As cost pressures mount, insurers are exploring modular architectures that decouple hardware from analytics platforms, enabling greater flexibility and scalability in component sourcing.

Furthermore, the cumulative tariff effects have spurred conversations around value-sharing mechanisms with customers. Insurers are evaluating co-investment models that spread upfront installation costs across policy tenures, as well as innovative premium structures that adjust based on ongoing usage data. These adaptive approaches aim to preserve affordability while ensuring that the benefits of usage-based programs-such as safer driving incentives and personalized risk insights-remain accessible to a broad range of drivers.

Deep Insights into Usage-Based Insurance Segmentation by Policy Type, Telematics Technology, Vehicle Class, End-User Profile and Distribution Channel

The usage-based insurance market can be dissected into distinct policy structures that cater to varied driving patterns and risk appetites. Manage-How-You-Drive programs provide real-time coaching and feedback, enabling insurers to reward safe habits immediately. Pay-As-You-Drive offerings calculate premiums based on actual mileage, appealing to low-mileage drivers seeking straightforward cost alignment. A more advanced Pay-How-You-Drive mechanism incorporates behavioral metrics such as speed variability and braking intensity, delivering highly individualized pricing.

Underpinning these product structures are diverse telematics platforms. Embedded telematics come factory-installed, offering seamless data capture with minimal user involvement yet demanding close OEM collaboration. On-Board Diagnostics-II solutions plug into a standardized vehicle port, providing a cost-effective alternative that balances ease of deployment with reliable data streams. Smartphone-based approaches leverage driver devices and companion applications, democratizing access while presenting challenges around data consistency and battery usage.

Vehicle distinctions further shape program design. Commercial fleets demand robust solutions capable of scaling across dozens or hundreds of vehicles, with features tailored to asset tracking, fleet utilization and safety compliance. Passenger vehicles, on the other hand, emphasize consumer-centric experiences, blending gamification, rewards and digital engagement to foster loyalty and advocacy.

End-user segmentation also plays a pivotal role in sculpting go-to-market tactics. Corporate buyers, spanning large enterprises down to small businesses, evaluate usage-based programs as tools to manage fleet risk, optimize operational costs and integrate telematics with broader enterprise platforms. Individual drivers approach these programs through a prism of cost savings, driving behavior insights and the appeal of personalized service.

Finally, distribution channels influence customer acquisition and retention strategies. Direct sales efforts allow carriers to control the end-to-end experience, from onboarding to ongoing support, while indirect partnerships-through agents, brokers and affinity groups-enable rapid scaling and access to niche customer segments. The interplay among these dimensions defines competitive positioning and the ability to deliver tailored value propositions across the full spectrum of usage-based offerings.

In-Depth Regional Analysis of Usage-Based Insurance Adoption, Regulatory Dynamics, Consumer Behavior, and Growth Drivers across Americas, EMEA and Asia-Pacific

Across the Americas, usage-based insurance has achieved notable momentum as carriers leverage expansive vehicle telematics ecosystems. In North America, regulatory clarity around data privacy and telematics standards has fostered consumer confidence, enabling rapid adoption of both auto insurance and fleet management solutions. Latin American markets, while still nascent, show promising interest driven by urban congestion concerns and evolving digital infrastructure.

In Europe, Middle East & Africa, a mosaic of regulatory frameworks and data protection regimes shapes deployment approaches. European Union directives emphasize strict data governance, prompting carriers to adopt transparent consent models and localized data storage practices. Meanwhile, Middle Eastern markets are exploring usage-based pilots within high-density urban centers, and select African regions are evaluating pay-as-you-drive models to broaden insurance accessibility.

Asia-Pacific stands out for its convergence of digital-first consumer behavior and rapid advancements in connected vehicle technologies. Mature markets such as Japan and South Korea integrate factory-fitted telematics with insurance offerings, while Southeast Asian economies exhibit growing appetite for smartphone-based solutions. Regulatory evolution in this region balances cybersecurity concerns with the imperative to expand insurance penetration, creating fertile ground for innovative usage-based pilots and partnerships with technology providers.

These regional dynamics underscore the importance of tailoring program design, pricing frameworks and engagement strategies to local market characteristics. Insurers that navigate regulatory nuances effectively and align with consumer expectations will be best positioned to capitalize on growth opportunities across these diverse geographies.

Evaluating Strategic Initiatives, Partnerships, Technology Innovations and Competitive Positioning of Leading Players in the Usage-Based Insurance Industry

Leading insurance carriers and technology vendors are advancing usage-based programs through a combination of strategic alliances, technology acquisitions and product innovation. Global insurers have forged partnerships with telematics platform providers to co-develop bespoke analytics engines that integrate advanced machine learning models. These collaborations enable carriers to accelerate time to market while leveraging specialized expertise in data science and connectivity.

A wave of targeted acquisitions has strengthened product portfolios, with carriers integrating telematics specialists to internalize capabilities and reduce dependency on third-party vendors. At the same time, several established analytics firms are expanding their footprints through joint ventures with automotive OEMs, embedding usage-based insurance modules within connected vehicle ecosystems and unlocking new distribution channels at the point of sale.

Innovative startups are also reshaping the competitive landscape, introducing modular telematics hardware and open application programming interfaces that empower insurers to rapidly customize usage-based features. These agile entrants are forging relationships with captive insurers and fleet operators, positioning themselves as nimble partners capable of piloting unconventional pricing models.

Overall, the market is characterized by an intensifying focus on ecosystem orchestration. Leading players are constructing strategic alliances that span hardware providers, software developers, distribution partners and regulatory bodies. By aligning incentives across the value chain, these coalitions aim to deliver end-to-end solutions that balance cost efficiency, regulatory compliance and enhanced customer engagement.

Actionable Recommendations for Usage-Based Insurance Leaders to Drive Telematics Integration, Enhance Data Analytics, Navigate Regulations, and Elevate Customer Experience

Industry leaders must prioritize seamless integration of telematics data into core underwriting and claims workflows. Establishing robust data pipelines that ingest, normalize and analyze driving behavior in real time is foundational to delivering on the promise of personalized premiums. Insurers should invest in scalable analytics platforms that accommodate evolving data volumes and enable rapid deployment of new risk models.

In parallel, enhancing data science capabilities is essential. By recruiting multidisciplinary teams of actuaries, data engineers and behavioral psychologists, carriers can refine predictive algorithms and develop targeted intervention strategies that nudge drivers toward safer habits. Strong governance frameworks must be instituted to manage data privacy and ensure compliance with regional regulations, fostering consumer trust in usage-based offerings.

Navigating the complex regulatory environment requires proactive engagement with policymaking bodies. Carriers should participate in industry consortia to share best practices, advocate for harmonized standards and contribute to the development of clear guidelines around data ownership, consent mechanisms and cybersecurity requirements.

To elevate the customer experience, insurers must design intuitive digital interfaces that communicate actionable insights and rewards. Gamified progress dashboards, seamless mobile enrolment and transparent policy adjustments will reinforce the value proposition and drive sustained engagement. Collaboration with automotive OEMs and telematics hardware vendors can yield factory-fitted solutions that minimize friction and enhance data fidelity.

In summary, a holistic approach that aligns technology, talent, governance and customer-centric design will enable usage-based insurance providers to differentiate their offerings, optimize operational efficiency and build lasting competitive advantage.

Robust Research Methodology Combining Qualitative Interviews, Industry Expert Consultations, In-Depth Data Analysis, and Market Trend Validation Processes

This research endeavor combined qualitative and quantitative methods to ensure a comprehensive understanding of the usage-based insurance landscape. Primary insights were drawn from in-depth interviews with senior executives at leading insurers, telematics vendors and regulatory authorities. These conversations explored emerging trends, operational challenges and strategic priorities firsthand.

Secondary research complemented these interviews, leveraging industry publications, regulatory filings and proprietary white papers to map technological advancements and policy developments. Data analysis techniques involved triangulating multiple information sources to validate key findings and refine thematic narratives.

A structured expert validation process was undertaken in which preliminary conclusions were presented to focus groups of actuaries, data scientists and risk managers. Feedback loops enabled iterative refinement of risk model assessments and segmentation frameworks, ensuring that the resulting insights align with real-world practices.

Analytical rigor was maintained through standardized evaluation criteria, including technology maturity, regulatory alignment potential and commercial viability. The methodology prioritized transparency and reproducibility, with clear documentation of data sources, interview protocols and analytical assumptions. This robust approach underpins the credibility of the strategic recommendations and market perspectives presented.

Concluding Insights Highlighting the Strategic Imperatives, Emerging Opportunities, and Future-Proof Strategies Shaping the Usage-Based Insurance Ecosystem

The evolution of usage-based insurance reflects a broader shift toward data-driven risk management and personalization within the insurance industry. By harnessing telematics data, insurers can transition from static, one-size-fits-all policies to dynamic models that reward responsible driving and mitigate potential losses. This shift not only enhances underwriting precision but also fosters deeper customer engagement through real-time feedback.

Opportunities abound for carriers that can navigate the intertwined challenges of technology integration, regulatory compliance and consumer trust. Strategic partnerships with technology providers and OEMs will be crucial in scaling high-fidelity data collection, while investment in advanced analytics will drive continuous improvement of pricing models and risk controls.

Looking ahead, the carriers that master the orchestration of hardware, software and human capital will create distinctive competitive advantages. A focus on transparent data governance, seamless digital experiences and adaptive product design will determine market leadership as usage-based programs become mainstream.

In conclusion, usage-based insurance stands at the forefront of innovation in the risk and insurance sector. The insights and recommendations presented herein offer a roadmap for industry participants to capitalize on emerging trends, manage evolving headwinds and deliver tangible value to both businesses and individual drivers.

Market Segmentation & Coverage

This research report forecasts the revenues and analyzes trends in each of the following sub-segmentations:
  • Type
    • Manage-How-You-Drive
    • Pay-As-You-Drive
    • Pay-How-You-Drive
  • Technology
    • Embedded Telematics
    • On-Board Diagnostics-II
    • Smartphone
  • Vehicle Type
    • Commercial Vehicles
    • Passenger Vehicles
  • End-User
    • Corporate End-Users
      • Large Enterprises
      • Small Businesses
    • Individual End-Users
  • Distribution Channel
    • Direct Sales
    • Indirect Sales
This research report forecasts the revenues and analyzes trends in each of the following sub-regions:
  • Americas
    • North America
      • United States
      • Canada
      • Mexico
    • Latin America
      • Brazil
      • Argentina
      • Chile
      • Colombia
      • Peru
  • Europe, Middle East & Africa
    • Europe
      • United Kingdom
      • Germany
      • France
      • Russia
      • Italy
      • Spain
      • Netherlands
      • Sweden
      • Poland
      • Switzerland
    • Middle East
      • United Arab Emirates
      • Saudi Arabia
      • Qatar
      • Turkey
      • Israel
    • Africa
      • South Africa
      • Nigeria
      • Egypt
      • Kenya
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Taiwan
This research report delves into recent significant developments and analyzes trends in each of the following companies:
  • Allianz SE
  • Allstate Corporation
  • Amica Mutual Insurance Company
  • Assicurazioni Generali S.p.A.
  • AXA SA
  • CalAmp Wireless Networks Corporation
  • Cambridge Mobile Telematics, Inc.
  • CerebrumX Lab Inc.
  • Credit Karma, LLC by Intuit Inc.
  • Definity Financial Corporation
  • General Motors Company
  • Go Digit General Insurance Limited
  • HDFC ERGO General Insurance Company Limited
  • ICICI Lombard General Insurance Company Ltd.
  • Lemonade, Inc.
  • LexisNexis Risk Solutions Inc. by RELX plc
  • Liberty Mutual Group Inc.
  • MAPFRE S.A
  • Modus Group, LLC
  • Nationwide Mutual Insurance Company
  • Octo Group S.p.A.
  • Progressive Casualty Insurance Company
  • Reliance General Insurance Company Limited by Reliance Capital Limited
  • Sierra Wireless by Semtech Corporation
  • State Farm Mutual Automobile Insurance Company
  • The Floow Limited by Otonomo Technologies Ltd.
  • The Government Employees Insurance Company
  • The New India Assurance Co. Ltd.
  • The Travelers Indemnity Company
  • Unipol Gruppo S.p.A.
  • United Services Automobile Association
  • Verisk Analytics, Inc.
  • Zubie, Inc.
  • Zuno General Insurance Limited

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Global insurers leverage AI-powered telematics to refine driver risk profiling in real time
5.2. Partnerships between automakers and insurers power embedded telematics for usage-based policies
5.3. Data privacy regulations prompt insurers to adopt privacy-by-design frameworks in usage-based insurance offerings
5.4. Gig economy drivers drive demand for flexible pay-per-mile insurance with dynamic premium adjustments
5.5. Integration of smartphone-based telematics apps reduces hardware costs and expands customer adoption
5.6. Emergence of blockchain-enabled platforms enhances transparency in usage-based insurance transactions
5.7. Real-time driver coaching and gamification features boost customer engagement in pay-as-you-drive programs
5.8. Electric vehicle adoption transforms usage-based insurance with specialized charging and range analytics
5.9. Advanced predictive analytics enable tiered pricing models based on behavior segmentation and risk clustering
5.10. Cybersecurity investments increase as insurers secure connected vehicle data streams against emerging threats
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Usage-based Insurance Market, by Type
8.1. Manage-How-You-Drive
8.2. Pay-As-You-Drive
8.3. Pay-How-You-Drive
9. Usage-based Insurance Market, by Technology
9.1. Embedded Telematics
9.2. On-Board Diagnostics-II
9.3. Smartphone
10. Usage-based Insurance Market, by Vehicle Type
10.1. Commercial Vehicles
10.2. Passenger Vehicles
11. Usage-based Insurance Market, by End-User
11.1. Corporate End-Users
11.1.1. Large Enterprises
11.1.2. Small Businesses
11.2. Individual End-Users
12. Usage-based Insurance Market, by Distribution Channel
12.1. Direct Sales
12.2. Indirect Sales
13. Usage-based Insurance Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Usage-based Insurance Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Usage-based Insurance Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Allianz SE
16.3.2. Allstate Corporation
16.3.3. Amica Mutual Insurance Company
16.3.4. Assicurazioni Generali S.p.A.
16.3.5. AXA SA
16.3.6. CalAmp Wireless Networks Corporation
16.3.7. Cambridge Mobile Telematics, Inc.
16.3.8. CerebrumX Lab Inc.
16.3.9. Credit Karma, LLC by Intuit Inc.
16.3.10. Definity Financial Corporation
16.3.11. General Motors Company
16.3.12. Go Digit General Insurance Limited
16.3.13. HDFC ERGO General Insurance Company Limited
16.3.14. ICICI Lombard General Insurance Company Ltd.
16.3.15. Lemonade, Inc.
16.3.16. LexisNexis Risk Solutions Inc. by RELX plc
16.3.17. Liberty Mutual Group Inc.
16.3.18. MAPFRE S.A
16.3.19. Modus Group, LLC
16.3.20. Nationwide Mutual Insurance Company
16.3.21. Octo Group S.p.A.
16.3.22. Progressive Casualty Insurance Company
16.3.23. Reliance General Insurance Company Limited by Reliance Capital Limited
16.3.24. Sierra Wireless by Semtech Corporation
16.3.25. State Farm Mutual Automobile Insurance Company
16.3.26. The Floow Limited by Otonomo Technologies Ltd.
16.3.27. The Government Employees Insurance Company
16.3.28. The New India Assurance Co. Ltd.
16.3.29. The Travelers Indemnity Company
16.3.30. Unipol Gruppo S.p.A.
16.3.31. United Services Automobile Association
16.3.32. Verisk Analytics, Inc.
16.3.33. Zubie, Inc.
16.3.34. Zuno General Insurance Limited
List of Tables
List of Figures

Samples

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Companies Mentioned

The key companies profiled in this Usage-based Insurance market report include:
  • Allianz SE
  • Allstate Corporation
  • Amica Mutual Insurance Company
  • Assicurazioni Generali S.p.A.
  • AXA SA
  • CalAmp Wireless Networks Corporation
  • Cambridge Mobile Telematics, Inc.
  • CerebrumX Lab Inc.
  • Credit Karma, LLC by Intuit Inc.
  • Definity Financial Corporation
  • General Motors Company
  • Go Digit General Insurance Limited
  • HDFC ERGO General Insurance Company Limited
  • ICICI Lombard General Insurance Company Ltd.
  • Lemonade, Inc.
  • LexisNexis Risk Solutions Inc. by RELX plc
  • Liberty Mutual Group Inc.
  • MAPFRE S.A
  • Modus Group, LLC
  • Nationwide Mutual Insurance Company
  • Octo Group S.p.A.
  • Progressive Casualty Insurance Company
  • Reliance General Insurance Company Limited by Reliance Capital Limited
  • Sierra Wireless by Semtech Corporation
  • State Farm Mutual Automobile Insurance Company
  • The Floow Limited by Otonomo Technologies Ltd.
  • The Government Employees Insurance Company
  • The New India Assurance Co. Ltd.
  • The Travelers Indemnity Company
  • Unipol Gruppo S.p.A.
  • United Services Automobile Association
  • Verisk Analytics, Inc.
  • Zubie, Inc.
  • Zuno General Insurance Limited

Table Information