임베디드 보험 시장 규모, 점유율, 성장 및 세계 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of embedded insurance Market

The global embedded insurance market is growing rapidly as digital ecosystems adopt seamless, on-demand insurance offerings across retail, travel, fintech, mobility, and telecom platforms. According to the latest market assessment, the embedded insurance market was valued at USD 119.16 billion in 2024, is expected to rise to USD 143.88 billion in 2025, and is projected to reach USD 802.57 billion by 2032, registering a strong CAGR of 27.8% over the forecast period.

The Asia Pacific region dominated the global market with a 46.31% share in 2024, supported by advanced mobile ecosystems, strong fintech penetration, and massive e-commerce activity.

Embedded insurance integrates coverage directly within the purchase journey of a product or service, eliminating the need for a separate application. It is powered by API-driven technology that links insurers to retailers, fintech firms, online travel agencies, mobility platforms, and digital marketplaces. This enables real-time, contextual insurance offerings-such as device protection, trip insurance, or micro-coverage-delivered at the precise moment consumers make transactions.

Major companies including Qover, Cover Genius, Bolttech, Zego, and Trov are expanding through API integrations, InsurTech partnerships, and product diversification into cyber, health, gig-worker, and travel insurance solutions.

Market Dynamics

Drivers

A key market driver is the rising demand for micro-insurance and niche protection. Consumers increasingly favor small, affordable coverage for specific needs such as electronics, travel, ride-sharing, and rentals. In 2024, companies like Trov and Cover Genius embedded micro-policies directly into e-commerce and travel platforms, enhancing accessibility and convenience.

Furthermore, digital transformation across retail, payments, and mobility platforms allows insurers to integrate personalized, on-demand products at high scale.

Restraints

A major restraint is low consumer awareness, particularly in developing markets. Many consumers fail to understand the benefits of embedded protection at checkout, perceiving it as an optional add-on. Lack of insurance literacy slows adoption across travel, e-commerce, and device protection segments. Companies are investing in user education but widespread adoption requires higher transparency and improved product communication.

Opportunities

Technological advancement in API-powered InsurTech platforms presents strong opportunities for expansion. Companies like Zego and Cover Genius integrate insurance into gig-economy apps such as Uber, Deliveroo, and online marketplaces. This reduces distribution costs, leverages platform trust, and provides insurers direct access to millions of potential customers.

Market Trends

A significant trend is consumers' demand for frictionless, personalized transactions. Insurance is now expected to be embedded instantly-whether booking flights, purchasing electronics, or renting vehicles.

Generative AI is also reshaping embedded insurance by helping platforms auto-generate policy recommendations based on real-time user data, trip risk, product value, or behavior patterns. AI-driven chatbots provide instant support, improving customer experience and conversion rates.

Segmental Overview

By Insurance Type

Property insurance captured the largest share in 2024, driven by integrated coverage for home-sharing, rentals, and digital property transactions.

Auto insurance is expected to grow the fastest as companies like Tesla, Uber, and Lyft embed usage-based, real-time coverage directly into their apps and vehicles.

By Distribution Channel

E-commerce and online platforms held the biggest share in 2024, fueled by Amazon, Alibaba, and fintech apps embedding insurance at checkout.

Banks and financial institutions are expected to grow fastest as they integrate digital insurance into lending, payments, and financial wellness services.

By End User

Individual customers dominated in 2024 due to rising preference for flexible, personalized micro-coverage.

SMEs will experience rapid growth as regulators encourage embedded insurance adoption for financial stability.

Regional Outlook

Asia Pacific

Valued at USD 55.19 billion in 2024, Asia Pacific leads the global market. China, India, Japan, and Southeast Asia are experiencing strong adoption due to mobile payments, fintech ecosystems, and e-commerce expansion. Platforms like Alipay and WeChat Pay widely embed insurance into daily transactions.

Europe

Growth is driven by InsurTech innovators such as Zego and Lemonade, supported by strong regulatory frameworks in the EU Digital Finance Package.

North America

The U.S. shows strong adoption in auto, travel, health, and digital retail sectors, supported by regulatory openness to digital insurance.

South America & Middle East-Africa

Growth is driven by rising internet penetration, expanding fintech services, and increased use of mobile commerce.

Conclusion

The embedded insurance market is on a transformative growth trajectory, expanding from USD 119.16 billion in 2024 to USD 143.88 billion in 2025, and expected to reach USD 802.57 billion by 2032. With digital platforms, AI-driven personalization, and API integrations redefining distribution, embedded insurance is becoming a core component of global consumer ecosystems across mobility, retail, travel, fintech, and telecom markets.

Segmentation By Insurance Type

• Property insurance
• Health Insurance
• Auto Insurance
• Travel Insurance
• Cyber Insurance
• Others (Electronics Insurance, Etc.)

By Distribution Channel

• E-commerce & Online Platforms
• Telecommunications & Digital Service Providers
• Retail & Physical Stores
• Financial Institutions & Banks
• Others

By End User

• Individual Customers
• SMEs
• Large Enterprises

By Region

• North America (By Insurance Type, Distribution Channel, End User, and Country)
  • U.S.
  • Canada
  • Mexico
• Europe (By Insurance Type, Distribution Channel, End User, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Asia Pacific (By Insurance Type, Distribution Channel, End User, and Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific
• Middle East & Africa (By Insurance Type, Distribution Channel, End User, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of the MEA
• South America (By Insurance Type, Distribution Channel, End User, and Country)
  • Brazil
  • Argentina
  • Rest of South America

Companies Profiled in the Report * Endava (U.K.)

• Chubb (U.S.)
• Accenture (Ireland)
• AXA Insurance (France)
• Lemonade (U.S.)
• Root (U.S.)
• Openkoda (Poland)
• Cover Genius (U.S.)
• Quver (Belgium)
• Tigerlab (Switzerland)

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Embedded Insurance Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Insurance Type (USD)
  • 5.2.1. Property insurance
  • 5.2.2. Health Insurance
  • 5.2.3. Auto Insurance
  • 5.2.4. Travel Insurance
  • 5.2.5. Cyber Insurance
  • 5.2.6. Others (Electronics Insurance, Etc.)
• 5.3. By Distribution Channel (USD)
  • 5.3.1. E-commerce & Online Platforms
  • 5.3.2. Telecommunications & Digital Service Providers
  • 5.3.3. Retail & Physical Stores
  • 5.3.4. Financial Institutions & Banks
  • 5.3.5. Others
• 5.4. By End User (USD)
  • 5.4.1. Individual Customers
  • 5.4.2. SMEs
  • 5.4.3. Large Enterprises
• 5.5. By Region (USD)
  • 5.5.1. North America
  • 5.5.2. South America
  • 5.5.3. Europe
  • 5.5.4. Middle East & Africa
  • 5.5.5. Asia Pacific

6. North America Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Insurance Type (USD)
  • 6.2.1. Property insurance
  • 6.2.2. Health Insurance
  • 6.2.3. Auto Insurance
  • 6.2.4. Travel Insurance
  • 6.2.5. Cyber Insurance
  • 6.2.6. Others (Electronics Insurance, Etc.)
• 6.3. By Distribution Channel (USD)
  • 6.3.1. E-commerce & Online Platforms
  • 6.3.2. Telecommunications & Digital Service Providers
  • 6.3.3. Retail & Physical Stores
  • 6.3.4. Financial Institutions & Banks
  • 6.3.5. Others
• 6.4. By End User (USD)
  • 6.4.1. Individual Customers
  • 6.4.2. SMEs
  • 6.4.3. Large Enterprises
• 6.5. By Country (USD)
  • 6.5.1. United States
  • 6.5.2. Canada
  • 6.5.3. Mexico

7. South America Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Insurance Type (USD)
  • 7.2.1. Property insurance
  • 7.2.2. Health Insurance
  • 7.2.3. Auto Insurance
  • 7.2.4. Travel Insurance
  • 7.2.5. Cyber Insurance
  • 7.2.6. Others (Electronics Insurance, Etc.)
• 7.3. By Distribution Channel (USD)
  • 7.3.1. E-commerce & Online Platforms
  • 7.3.2. Telecommunications & Digital Service Providers
  • 7.3.3. Retail & Physical Stores
  • 7.3.4. Financial Institutions & Banks
  • 7.3.5. Others
• 7.4. By End User (USD)
  • 7.4.1. Individual Customers
  • 7.4.2. SMEs
  • 7.4.3. Large Enterprises
• 7.5. By Country (USD)
  • 7.5.1. Brazil
  • 7.5.2. Argentina
  • 7.5.3. Rest of South America

8. Europe Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Insurance Type (USD)
  • 8.2.1. Property insurance
  • 8.2.2. Health Insurance
  • 8.2.3. Auto Insurance
  • 8.2.4. Travel Insurance
  • 8.2.5. Cyber Insurance
  • 8.2.6. Others (Electronics Insurance, Etc.)
• 8.3. By Distribution Channel (USD)
  • 8.3.1. E-commerce & Online Platforms
  • 8.3.2. Telecommunications & Digital Service Providers
  • 8.3.3. Retail & Physical Stores
  • 8.3.4. Financial Institutions & Banks
  • 8.3.5. Others
• 8.4. By End User (USD)
  • 8.4.1. Individual Customers
  • 8.4.2. SMEs
  • 8.4.3. Large Enterprises
• 8.5. By Country (USD)
  • 8.5.1. United Kingdom
  • 8.5.2. Germany
  • 8.5.3. France
  • 8.5.4. Italy
  • 8.5.5. Spain
  • 8.5.6. Russia
  • 8.5.7. Benelux
  • 8.5.8. Nordics
  • 8.5.9. Rest of Europe

9. Middle East & Africa Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 9.1. Key Findings
• 9.2. By Insurance Type (USD)
  • 9.2.1. Property insurance
  • 9.2.2. Health Insurance
  • 9.2.3. Auto Insurance
  • 9.2.4. Travel Insurance
  • 9.2.5. Cyber Insurance
  • 9.2.6. Others (Electronics Insurance, Etc.)
• 9.3. By Distribution Channel (USD)
  • 9.3.1. E-commerce & Online Platforms
  • 9.3.2. Telecommunications & Digital Service Providers
  • 9.3.3. Retail & Physical Stores
  • 9.3.4. Financial Institutions & Banks
  • 9.3.5. Others
• 9.4. By End User (USD)
  • 9.4.1. Individual Customers
  • 9.4.2. SMEs
  • 9.4.3. Large Enterprises
• 9.5. By Country (USD)
  • 9.5.1. Turkey
  • 9.5.2. Israel
  • 9.5.3. GCC
  • 9.5.4. North Africa
  • 9.5.5. South Africa
  • 9.5.6. Rest of MEA

10. Asia Pacific Embedded Insurance Market Size Estimates and Forecasts, By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Insurance Type (USD)
  • 10.2.1. Property insurance
  • 10.2.2. Health Insurance
  • 10.2.3. Auto Insurance
  • 10.2.4. Travel Insurance
  • 10.2.5. Cyber Insurance
  • 10.2.6. Others (Electronics Insurance, Etc.)
• 10.3. By Distribution Channel (USD)
  • 10.3.1. E-commerce & Online Platforms
  • 10.3.2. Telecommunications & Digital Service Providers
  • 10.3.3. Retail & Physical Stores
  • 10.3.4. Financial Institutions & Banks
  • 10.3.5. Others
• 10.4. By End User (USD)
  • 10.4.1. Individual Customers
  • 10.4.2. SMEs
  • 10.4.3. Large Enterprises
• 10.5. By Country (USD)
  • 10.5.1. China
  • 10.5.2. India
  • 10.5.3. Japan
  • 10.5.4. South Korea
  • 10.5.5. ASEAN
  • 10.5.6. Oceania
  • 10.5.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Endava
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Chubb
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Accenture
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. AXA Insurance
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Lemonade
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Root
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Openkoda
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Cover Genius
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Quver
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Tigerlab
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways