China Motor Insurance Market Size and Share

China Motor Insurance Market (2025 - 2030)
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China Motor Insurance Market Analysis by Mordor Intelligence

The China motor insurance market size was USD 139.95 billion in 2025 and is projected to reach USD 171.25 billion by 2030, representing a steady 4.12% CAGR. China's motor insurance market is witnessing modest topline growth, yet its internal dynamics are rapidly evolving. Premiums are expanding, driven by the surge in new energy vehicles, a segment growing at an impressive annual rate of 12.5%. This growth rate significantly outpaces the overall market, with new energy vehicles now representing 11.5% of total premiums. The rise of digital distribution is reshaping the cost structure. Platforms that sell directly to consumers, online aggregators, and embedded sales channels are gaining traction, diminishing the traditional cost edge once enjoyed by agents. Regional trends are diverging, while East China continues to lead in premium volume, it's showing signs of saturation. In contrast, Northwest China is emerging as a robust growth area, boasting a 10.1% annual growth rate, bolstered by infrastructure projects and rural subsidies. After the pricing reforms in 2020, competition has intensified. By 2024, the top three insurers, PICC, Ping An, and China Pacific, secured a dominant share of underwriting profits, highlighting widening performance gaps. 

Key Report Takeaways

  • By Coverage type, commercial motor insurance led with 63.2% of the China motor insurance market share in 2024, while CTPL is projected to expand at an 11.82% CAGR through 2030.
  • By Vehicle type, NEVs commanded an 11.5% share of the China motor insurance market size in 2025 and are advancing at a 12.51% CAGR during 2025-2030.
  • By Distribution channel, agents and brokers held 45.9% of written premiums in 2024, whereas online aggregators and embedded models recorded the fastest growth at 14.22% CAGR.
  • By Geography, East China contributed 28.2% revenue in 2024; Northwest China is set to grow the fastest at 10.11% CAGR through 2030.

Segment Analysis

By Coverage Type: CTPL Gains Momentum Despite Commercial Dominance

Commercial motor insurance generated 63.2% of gross written premiums in 2024, yet compulsory third-party liability is on course to grow faster at 11.82% CAGR through 2030. The China motor insurance market size for CTPL alone is projected to rise alongside stricter enforcement in lower-tier jurisdictions and higher bodily-injury limits. In parallel, product innovation blends CTPL with modular commercial add-ons, giving cost-sensitive motorists flexibility without sacrificing essential protection. 

Price liberalization widens the spread between players’ CTPL loss ratios, incentivizing data-savvy firms to refine risk segmentation. Digital platforms excel at cross-selling commercial endorsements to CTPL buyers by using behavioral analytics that suggest accident-forgiveness or roadside-assistance riders at checkout. Over time, a higher share of policies is likely to move into mid-priced hybrid bundles, cementing CTPL’s role as a gateway product within the broader China motor insurance market. 

China Motor Insurance
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By Vehicle Type: NEVs Redefine Risk Profiles and Premiums

Passenger cars retained 68% of premiums in 2024, yet NEV penetration is the transformational theme. NEV premiums rose sixfold in five years, lifting their slice of the China motor insurance market size to 11.5% in 2025. Subsidies, tax relief, and expanding charging grids propel the segment. Players craft battery-specific depreciation schedules and offer replacement-vehicle allowances to reflect longer repair cycles. 

Commercial trucks and buses contribute a smaller share but exhibit volatile claims severity due to long mileage exposure. Electrified buses made up nearly 70% of global sales in 2024, forcing underwriters to reassess aggregate catastrophe risks such as depot fires. Two-wheeler and micro-mobility covers, often arranged through super-apps, appeal to gig-economy couriers seeking on-demand protection and are expected to post double-digit growth as urban congestion policies tighten. 

By Distribution Channel: Digital Platforms Challenge Traditional Dominance

Agents and brokers still originated 46% of premiums in 2024, leveraging personal networks for renewal retention. Yet online aggregators and embedded channels expand at 14.2% CAGR, steadily capturing share in the China motor insurance market. NEV makers such as NIO and BYD embed insurance at the point of sale, exploiting proprietary telematics data that improves risk selection. 

Direct writer portals and bancassurance arms also scale, aided by unified data lakes that reduce acquisition costs and enable instant pricing. By 2030, embedded products alone could distribute USD 237.0 billion in premiums, significantly re-balancing channel economics. Traditional intermediaries respond by bundling value-added post-accident services and partnering with digital marketplaces to retain relevance within the evolving China motor insurance market. 

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Geography Analysis

East China contributed 28% of premiums in 2024, reflecting dense vehicle ownership, high disposable income, and advanced repair ecosystems. NEVs form more than 40% of new registrations in Shanghai, sharpening the need for specialized products and claims expertise. Competitive intensity is highest here, and most pilot deployments of AI-based claims triage occur in this region before nationwide roll-outs. 

Northwest China, starting from a lower base, registers a 10.1% CAGR through 2030 as the rural subsidy initiative boosts first-time vehicle ownership. Expanding road networks and cross-border e-commerce corridors drive commercial-fleet uptake. However, lower average premiums per policy and sparse repair facilities inflate operating costs, prompting insurers to rely on mobile loss-adjuster units and cloud-based inspection apps. 

South-Central China balances mature metros such as Guangzhou with growth corridors in nearby prefectures. Manufacturing clusters generate demand for cargo and fleet coverage, while the consumer market mirrors national averages in penetration. Northeast industrial zones rely on heavy-duty truck covers connected to the coal and steel supply chain, whereas Southwest tourism economies see rising demand for short-term rental and micro-mobility insurance products. North China megacities pursue congestion curbs, nudging insurers toward public-transport liability, ride-hailing, and shared-mobility segments to compensate for contracting private-car pools. These divergent patterns underline the necessity of region-specific underwriting and distribution tactics across the China motor insurance market. 

Competitive Landscape

The top three players PICC Property & Casualty Co., Ltd, Ping An Property & Casualty Insurance Co, and China Pacific Property Insurance Co. (CPIC P/C) hold the majority of written premiums, translating into pronounced scale advantages and enabling them to capture 104% of the sector underwriting profit in 2024. They deploy proprietary AI engines for quote scoring, fraud flagging, and automated damage assessment; Ping An’s image-based tool shortens claims resolution from hours to minutes. Mid-tier players pursue defensive alliances, jointly funding data exchanges that enrich actuarial models while sharing infrastructure costs. The Market is concentrated in a competitively dynamic environment. 

Disruption now emerges from outside traditional insurance circles. NEV manufacturers launch captive underwriters that bundle financing, after-sales service, and coverage. NIO’s brokerage arm illustrates the model, wielding granular telematics to segment risk and price competitively. Technology conglomerates such as Xiaomi enter the field with app-native offers that integrate driving-behavior analytics throughout their device ecosystem, further pressuring incumbents on customer experience.

Strategic differentiation increasingly hinges on data. Players able to ingest OEM telematics, mobile usage traces, and repair-shop sensor feeds can calibrate premiums with higher precision, unlocking profit in a low-rate environment. White-space niches lie in micro-mobility, cross-border motor cover, and embedded fleet risk services, each currently underserved relative to growth potential. Over the forecast horizon, regulatory openness to new capital and ongoing reforms around solvency may facilitate selective challenger breakthroughs, though entrenched leaders remain advantaged by operating scale, brand trust, and captive customer bases in the China motor insurance market. 

China Motor Insurance Industry Leaders

  1. PICC Property & Casualty Co., Ltd.

  2. Ping An Property & Casualty Insurance Co.

  3. China Pacific Property Insurance Co.

  4. China United Property Insurance Co.

  5. AXA Tianping Property & Casualty

  6. *Disclaimer: Major Players sorted in no particular order
China Motor Insurance Market Concentration
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Recent Industry Developments

  • May 2025: Xiaomi introduced “Smart Driving Insurance,” leveraging its connected-device ecosystem and AI engines to tailor prices to individual driving patterns
  • March 2025: China Taiping Insurance Holdings posted a 2.8% motor-line revenue rise for 2024 and highlighted leadership in cross-border vehicle cover within the Greater Bay Area
  • January 2025: AM Best reported NEV premiums have risen sixfold in five years, flagging profit headwinds tied to elevated loss ratios
  • June 2024: Cheche Group partnered with NIO Insurance Broker to streamline digital insurance delivery for NEV buyers

Table of Contents for China Motor Insurance Industry Report

1. Introduction

  • 1.1 Scope of the Study

2. Research Methodology

3. Executive Summary

4. Market Landscape

  • 4.1 Market Drivers
    • 4.1.1 Explosive Growth of New-Energy Vehicles (NEVs) Raising High-Value Premium Pool
    • 4.1.2 Deregulation of Online Motor Policies Boosting Direct-to-Consumer (D2C) Adoption
    • 4.1.3 Telematics-Based UBI Programs Catalyzed by Connected Vehicle Guidelines
    • 4.1.4 Tier-3 & 4 City Car-Parc Expansion via Rural Vehicle Subsidy Program
    • 4.1.5 Commercial Fleet Digitalization from E-commerce Logistics Demand
  • 4.2 Market Restraints
    • 4.2.1 Underwriting Losses on EV Portfolios due to Battery Repair Costs
    • 4.2.2 Intensifying Price Competition Post De-tariffication
    • 4.2.3 Modal Shift to Public Transit in Mega-Cities Shrinking Private Pool
    • 4.2.4 Surge in Fraudulent Claims Rings Exploiting Digital Channels
  • 4.3 Value / Supply-Chain Analysis
  • 4.4 Regulatory or Technological Outlook
  • 4.5 Porter's Five Forces
    • 4.5.1 Bargaining Power of Buyers
    • 4.5.2 Bargaining Power of Suppliers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Threat of Substitutes
    • 4.5.5 Industry Rivalry

5. Market Size & Growth Forecasts

  • 5.1 By Coverage Type
    • 5.1.1 Compulsory Third-party Liability (CTPL)
    • 5.1.2 Commercial Motor Insurance
  • 5.2 By Vehicle Type
    • 5.2.1 Passenger Vehicles
    • 5.2.2 Commercial Vehicles
    • 5.2.3 Electric and Hybrid Vehicles (NEVs)
    • 5.2.4 Heavy Trucks & Buses
    • 5.2.5 Two-Wheelers & Micro-Mobility
  • 5.3 By Distribution Channel
    • 5.3.1 Direct Sales (Captive & Digital)
    • 5.3.2 Agents and Insurance Brokers
    • 5.3.3 Bancassurance / Auto-Finance Captives
    • 5.3.4 Online Aggregators & Embedded Platforms
    • 5.3.5 Others
  • 5.4 By Region (China)
    • 5.4.1 East China (Shanghai, Jiangsu, Zhejiang, Anhui)
    • 5.4.2 South-Central China (Guangdong, Fujian, Hainan, Guangxi, Hunan, Hubei)
    • 5.4.3 North China (Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia)
    • 5.4.4 Northeast China (Liaoning, Jilin, Heilongjiang)
    • 5.4.5 Southwest China (Sichuan, Chongqing, Guizhou, Yunnan, Tibet)
    • 5.4.6 Northwest China (Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang)

6. Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products & Services, Recent Developments)
    • 6.4.1 PICC Property & Casualty Co., Ltd.
    • 6.4.2 Ping An Property & Casualty Insurance Co.
    • 6.4.3 China Pacific Property Insurance Co. (CPIC P/C)
    • 6.4.4 China United Property Insurance Co.
    • 6.4.5 Sunshine P&C Insurance Co.
    • 6.4.6 Taiping General Insurance Co.
    • 6.4.7 AXA Tianping Property & Casualty
    • 6.4.8 Zurich Insurance (China) Co.
    • 6.4.9 Generali China Insurance Co.
    • 6.4.10 AIG Insurance Co. China Ltd.
    • 6.4.11 China Re P&C Reinsurance
    • 6.4.12 ZhongAn Online P&C Insurance
    • 6.4.13 Huaxia Life Insurance
    • 6.4.14 Tesla Insurance (Shanghai)
    • 6.4.15 NIO Insurance Brokerage
    • 6.4.16 BYD Auto Insurance Agency
    • 6.4.17 WeSure Insurance Platform (Tencent)
    • 6.4.18 Taikang Insurance Group
    • 6.4.19 Allianz China
    • 6.4.20 Huatai Insurance Group

7. Market Opportunities & Future Outlook

  • 7.1 White-Space & Unmet-Need Assessment
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Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Our study defines the China motor insurance market as all compulsory third-party liability and commercial motor policies, expressed in gross written premiums, sold for passenger, commercial, and new-energy vehicles across every province.

Scope Exclusion: Extended warranty plans and stand-alone roadside assistance contracts fall outside this definition.

Segmentation Overview

  • By Coverage Type
    • Compulsory Third-party Liability (CTPL)
    • Commercial Motor Insurance
  • By Vehicle Type
    • Passenger Vehicles
    • Commercial Vehicles
    • Electric and Hybrid Vehicles (NEVs)
    • Heavy Trucks & Buses
    • Two-Wheelers & Micro-Mobility
  • By Distribution Channel
    • Direct Sales (Captive & Digital)
    • Agents and Insurance Brokers
    • Bancassurance / Auto-Finance Captives
    • Online Aggregators & Embedded Platforms
    • Others
  • By Region (China)
    • East China (Shanghai, Jiangsu, Zhejiang, Anhui)
    • South-Central China (Guangdong, Fujian, Hainan, Guangxi, Hunan, Hubei)
    • North China (Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia)
    • Northeast China (Liaoning, Jilin, Heilongjiang)
    • Southwest China (Sichuan, Chongqing, Guizhou, Yunnan, Tibet)
    • Northwest China (Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang)

Detailed Research Methodology and Data Validation

Primary Research

Mordor analysts interviewed underwriting heads, broker networks, and digital aggregator founders across Beijing, Shanghai, Shenzhen, and Chengdu. These discussions clarified average selling premiums by vehicle fuel type, channel commission structures, and early loss experience on usage-based policies, closing gaps that public data could not reveal.

Desk Research

We began by compiling macro-economic indicators, new-vehicle registrations, and provincial premium tariffs from open datasets issued by the National Bureau of Statistics, China Banking & Insurance Regulatory Commission, Ministry of Public Security, and China Association of Automobile Manufacturers. Trade journals such as Insurance Business Asia and McKinsey Insights enriched our view on electric-vehicle loss ratios and channel shifts. Annual filings and investor decks of listed insurers provided underwriting ratios and product mixes, while news archives accessed through Dow Jones Factiva traced policy reforms and pricing cycles. Supplementary shipment data from Volza and patent counts from Questel offered volume checkpoints for emerging telematics hardware. The sources cited here are illustrative; many additional publications and databases informed our desk analysis.

Market-Sizing & Forecasting

A top-down model starts with provincial vehicle parc and annual miles driven, multiplies by observed insurance penetration and average premium metrics, and is then corroborated through selective bottom-up carrier roll-ups and sampled ASP × policy counts. Key variables include new-energy vehicle share, agent-to-online channel migration rate, reform-led tariff elasticity, average claim severity, and macro GDP per capita. Forecasts rely on a multivariate regression that links premium growth to these drivers plus expected vehicle sales, with scenario analysis stress-testing high-EV adoption and soft-pricing cases. Data gaps, such as unreported direct-online premiums from smaller carriers, are interpolated using growth rates gathered during primary calls.

Data Validation & Update Cycle

Outputs pass a three-layer review: automated variance checks against historical premium ratios, peer comparison, and a senior analyst sanity audit. We refresh the model annually and trigger interim updates when regulatory circulars alter pricing rules or when quarterly filings reveal a five-percent or greater swing in combined ratios.

Why Mordor's China Motor Insurance Baseline Commands Reliability

Published estimates often diverge because each research house chooses unique coverage lines, base years, and premium definitions.

Key gap drivers include exclusion of compulsory liability in some models, use of net earned rather than gross written premiums, differing EV premium assumptions, and less frequent data refresh cycles than Mordor's yearly update.

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 139.95 B (2025) Mordor Intelligence -
USD 134.41 B (2025) Regional Consultancy A Excludes innovative add-on covers and provincial subsidies, trimming total premiums
USD 134.0 B (2024) Global Consultancy B Older base year and no adjustment for post-reform tariff cuts
USD 90.59 B (2025) Industry Journal C Counts only commercial lines, omits compulsory third-party segment

The comparison shows that scope alignment and timely tariff recalibration explain most divergences. By grounding every assumption in transparent variables and validating them through carrier dialogue, Mordor offers decision-makers a balanced, reproducible baseline they can rely on.

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Key Questions Answered in the Report

What is the projected size of the China motor insurance market by 2030?

The market is forecast to reach USD 171.25 billion by 2030, growing at a 4.1% CAGR.

Why are NEV premiums higher than traditional vehicle premiums

NEVs carry costlier battery systems and specialised repair requirements, lifting average premiums to CNY 4,003 versus CNY 2,209 for combustion vehicles.

How has price deregulation affected competition?

Since 2020, deregulation has sparked intense pricing rivalry, pushing average premiums down 15-20% and consolidating underwriting profits among the top three carriers.

Which distribution channels are growing the fastest?

Online aggregators and embedded insurance platforms expand at 14.2% CAGR, outpacing agents and brokers.

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