IoT 보험 시장 : 규모, 점유율, 성장, 세계 산업 분석, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of IoT insurance Market

The global IoT insurance market was valued at USD 21.53 billion in 2025 and is projected to grow from USD 25.76 billion in 2026 to USD 135.32 billion by 2034, registering a robust CAGR of 23.00% during the forecast period. North America dominated the global market with a 42.20% market share in 2025, driven by widespread adoption of connected devices, advanced insurance infrastructure, and increasing use of data-driven risk assessment technologies.

IoT insurance leverages Internet of Things (IoT) devices such as telematics systems, wearable devices, smart home sensors, and connected industrial equipment to collect real-time data for more accurate risk assessment, underwriting, and claims management. The growing demand for personalized insurance products, fraud prevention, predictive analytics, and proactive risk management is accelerating market growth across the insurance industry.

IoT Insurance Market Overview

The rapid expansion of connected devices and IoT ecosystems is transforming the insurance sector by enabling insurers to monitor risks in real time. Connected vehicles, wearable healthcare devices, smart home systems, and industrial IoT sensors generate continuous streams of data that allow insurers to develop personalized insurance policies, improve pricing accuracy, and reduce fraudulent claims.

The integration of artificial intelligence (AI), machine learning, and advanced analytics with IoT platforms further enhances underwriting efficiency, customer engagement, and operational performance. As digital transformation continues across the insurance industry, IoT-enabled insurance solutions are becoming increasingly important.

Market Drivers

The increasing adoption of connected devices across automotive, healthcare, residential, and commercial sectors is the primary driver of the IoT insurance market. Real-time data collected through telematics, wearable devices, and smart home technologies enables insurers to monitor customer behavior, predict potential risks, and provide usage-based insurance products.

Growing consumer demand for customized premiums, proactive risk prevention, and faster claims processing is encouraging insurers to invest heavily in IoT-enabled insurance platforms. These technologies improve underwriting accuracy while reducing operational costs and claim frequencies.

Market Restraints

Despite strong growth prospects, concerns related to data privacy, cybersecurity, and regulatory compliance continue to limit market expansion. IoT insurance depends on continuous collection of sensitive customer data, increasing the risk of cyberattacks, unauthorized access, and data misuse.

Strict regulations governing data protection and privacy require insurers to invest significantly in compliance and cybersecurity infrastructure. Consumer concerns regarding data sharing and surveillance also remain important challenges for widespread adoption.

Market Opportunities

The integration of artificial intelligence and predictive analytics with IoT platforms presents significant growth opportunities for insurers. AI-powered analytics enable insurance providers to predict risks, detect fraudulent activities, automate claims processing, and improve underwriting decisions using real-time IoT data.

This shift from reactive claims management toward proactive risk prevention reduces operational expenses while improving customer satisfaction through personalized insurance products and dynamic pricing models.

Latest Market Trends

One of the most significant trends in the IoT insurance market is the rapid shift toward usage-based and behavior-based insurance models. Rather than relying solely on demographic information, insurers increasingly use real-time data collected from connected vehicles, wearable devices, and smart home technologies to determine insurance premiums.

This approach improves pricing accuracy, encourages safer customer behavior, reduces claim frequency, and enables insurers to offer highly personalized insurance products across multiple insurance categories.

Market Segmentation

Based on insurance type, the market is segmented into life & health insurance, property & casualty insurance, and others. The property & casualty insurance segment is projected to dominate the market with a 42.19% share in 2026, driven by widespread use of IoT devices for real-time monitoring of residential, commercial, industrial, and automotive assets. The life and health insurance segment is expected to witness strong growth due to increasing adoption of wearable healthcare devices and connected wellness platforms.

Based on distribution channel, the market is divided into direct channels and indirect channels. The indirect channel segment is expected to account for 63.52% of the global market in 2026, supported by the strong role of brokers, agents, retailers, and banks in distributing IoT-enabled insurance products. Direct channels are also expanding rapidly through mobile applications, digital platforms, and online insurance services.

Based on end user, the market includes individuals, SMEs, large-scale enterprises, and government organizations. The individual segment is projected to account for 50.39% of the global market in 2026, driven by increasing adoption of smart home devices, connected vehicles, and wearable technologies. Large-scale enterprises are expected to record the fastest growth due to rising deployment of IoT solutions for fleet management, workplace safety, and asset monitoring.

Regional Analysis

North America generated USD 9.08 billion in 2025, representing 42.20% of global revenue, and is projected to reach USD 10.90 billion in 2026. Strong IoT adoption, advanced digital infrastructure, and widespread implementation of connected insurance solutions continue to drive regional growth. The U.S. market is expected to reach USD 9.34 billion in 2026.

Europe accounted for USD 5.74 billion in 2025 and is projected to reach USD 6.71 billion in 2026, supported by increasing adoption of connected vehicles, smart home technologies, and personalized insurance products. The UK and Germany remain key regional markets.

Asia Pacific generated USD 4.68 billion in 2025 and is expected to reach USD 5.73 billion in 2026, driven by expanding smart city initiatives, digital transformation, and increasing use of connected devices across China, Japan, and India.

Latin America recorded USD 1.41 billion in 2025 and is projected to reach USD 1.66 billion in 2026, while the Middle East & Africa reached USD 0.63 billion in 2025 and is expected to grow to USD 0.76 billion in 2026, supported by increasing adoption of telematics-based vehicle insurance and digital insurance solutions.

Competitive Landscape

The global IoT insurance market is highly competitive, with leading insurers focusing on digital innovation, AI-powered analytics, strategic partnerships, and expansion of smart insurance solutions. Companies are investing in connected technologies, predictive analytics, and usage-based insurance platforms to improve customer engagement and strengthen their market positions.

Major companies operating in the market include Allianz SE, AXA SA, Munich Re, Ping An Insurance, Zurich Insurance Group, Prudential plc, Allstate Insurance Company, Progressive Corporation, Generali Group, Admiral Group, Lemonade, and Octo Group SpA.

Key Industry Developments

• May 2024: Cosmo Connected launched Cosmo Care, combining connected smart helmets with IoT-enabled insurance coverage provided by Allianz Partners for micromobility users.
• October 2023: Nirvana Insurance secured USD 57 million in Series B funding to expand IoT-driven fleet insurance solutions and customized risk management services.
• May 2023: Sky and Zurich introduced Sky Protect, an integrated smart home protection solution combining connected home monitoring technology with comprehensive home insurance through a single digital platform.

Conclusion

The IoT insurance market is undergoing rapid transformation as insurers increasingly leverage connected devices, artificial intelligence, predictive analytics, and real-time data to improve underwriting, claims management, and customer engagement. Growing demand for personalized insurance products, usage-based pricing, and proactive risk prevention continues to fuel market expansion across personal and commercial insurance segments. With the global market projected to increase from USD 25.76 billion in 2026 to USD 135.32 billion by 2034, IoT-enabled insurance is expected to become a fundamental component of the future digital insurance ecosystem.

Attribute Details

Segmentation By Insurance Type, Distribution Channel, End User and Region

By Insurance Type * Life and Health Insurance

• Property & Casualty Insurance
• Residential
• Commercial & Industrial
• Automotive
• Others (Agriculture, etc.)
• Others (Travel insurance, etc.)

By Distribution Channel * Direct Channels

• Ecommerce
• Own Sales Force
• Indirect Channels
• Agents/Brokers
• Retailers and Banks
• Others

By End User * Individuals

• SMEs
• Large Scale Enterprises
• Government

By Region * North America (By Insurance Type, Distribution Channel, End User and Country/Sub-region)

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

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

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global IoT Insurance Key Players Market Share/Ranking, 2025

5. Global IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Insurance Type (USD Bn)
  • 5.2.1. Life and Health Insurance
  • 5.2.2. Property & Casualty Insurance
    • 5.2.2.1. Residential
    • 5.2.2.2. Commercial & Industrial
    • 5.2.2.3. Automotive
    • 5.2.2.4. Others (Agriculture, etc.)
  • 5.2.3. Others (Travel insurance, etc.)
• 5.3. By Distribution Channel (USD Bn)
  • 5.3.1. Direct Channels
    • 5.3.1.1. Ecommerce
    • 5.3.1.2. Own Sales Force
  • 5.3.2. Indirect Channels
    • 5.3.2.1. Agents/Brokers
    • 5.3.2.2. Retailers and Banks
    • 5.3.2.3. Others
• 5.4. By End User (USD Bn)
  • 5.4.1. Individuals
  • 5.4.2. SMEs
  • 5.4.3. Large Scale Enterprises
  • 5.4.4. Government
• 5.5. By Region (USD Bn)
  • 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 IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Insurance Type (USD Bn)
  • 6.2.1. Life and Health Insurance
  • 6.2.2. Property & Casualty Insurance
    • 6.2.2.1. Residential
    • 6.2.2.2. Commercial & Industrial
    • 6.2.2.3. Automotive
    • 6.2.2.4. Others (Agriculture, etc.)
  • 6.2.3. Others (Travel insurance, etc.)
• 6.3. By Distribution Channel (USD Bn)
  • 6.3.1. Direct Channels
    • 6.3.1.1. Ecommerce
    • 6.3.1.2. Own Sales Force
  • 6.3.2. Indirect Channels
    • 6.3.2.1. Agents/Brokers
    • 6.3.2.2. Retailers and Banks
    • 6.3.2.3. Others
• 6.4. By End User (USD Bn)
  • 6.4.1. Individuals
  • 6.4.2. SMEs
  • 6.4.3. Large Scale Enterprises
  • 6.4.4. Government
• 6.5. By Country (USD Bn)
  • 6.5.1. U.S.
    • 6.5.1.1. By End User (USD Bn)
  • 6.5.2. Canada
    • 6.5.2.1. By End User (USD Bn)
  • 6.5.3. Mexico
    • 6.5.3.1. By End User (USD Bn)

7. South America IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Insurance Type (USD Bn)
  • 7.2.1. Life and Health Insurance
  • 7.2.2. Property & Casualty Insurance
    • 7.2.2.1. Residential
    • 7.2.2.2. Commercial & Industrial
    • 7.2.2.3. Automotive
    • 7.2.2.4. Others (Agriculture, etc.)
  • 7.2.3. Others (Travel insurance, etc.)
• 7.3. By Distribution Channel (USD Bn)
  • 7.3.1. Direct Channels
    • 7.3.1.1. Ecommerce
    • 7.3.1.2. Own Sales Force
  • 7.3.2. Indirect Channels
    • 7.3.2.1. Agents/Brokers
    • 7.3.2.2. Retailers and Banks
    • 7.3.2.3. Others
• 7.4. By End User (USD Bn)
  • 7.4.1. Individuals
  • 7.4.2. SMEs
  • 7.4.3. Large Scale Enterprises
  • 7.4.4. Government
• 7.5. By Country (USD Bn)
  • 7.5.1. Brazil
    • 7.5.1.1. By End User (USD Bn)
  • 7.5.2. Argentina
    • 7.5.2.1. By End User (USD Bn)
  • 7.5.3. Rest of South America

8. Europe IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Insurance Type (USD Bn)
  • 8.2.1. Life and Health Insurance
  • 8.2.2. Property & Casualty Insurance
    • 8.2.2.1. Residential
    • 8.2.2.2. Commercial & Industrial
    • 8.2.2.3. Automotive
    • 8.2.2.4. Others (Agriculture, etc.)
  • 8.2.3. Others (Travel insurance, etc.)
• 8.3. By Distribution Channel (USD Bn)
  • 8.3.1. Direct Channels
    • 8.3.1.1. Ecommerce
    • 8.3.1.2. Own Sales Force
  • 8.3.2. Indirect Channels
    • 8.3.2.1. Agents/Brokers
    • 8.3.2.2. Retailers and Banks
    • 8.3.2.3. Others
• 8.4. By End User (USD Bn)
  • 8.4.1. Individuals
  • 8.4.2. SMEs
  • 8.4.3. Large Scale Enterprises
  • 8.4.4. Government
• 8.5. By Country (USD Bn)
  • 8.5.1. U.K.
    • 8.5.1.1. By End User (USD Bn)
  • 8.5.2. Germany
    • 8.5.2.1. By End User (USD Bn)
  • 8.5.3. France
    • 8.5.3.1. By End User (USD Bn)
  • 8.5.4. Italy
    • 8.5.4.1. By End User (USD Bn)
  • 8.5.5. Spain
    • 8.5.5.1. By End User (USD Bn)
  • 8.5.6. Switzerland
    • 8.5.6.1. By End User (USD Bn)
  • 8.5.7. BENELUX
    • 8.5.7.1. By End User (USD Bn)
  • 8.5.8. Nordics
    • 8.5.8.1. By End User (USD Bn)
  • 8.5.9. Rest of Europe

9. Middle East & Africa IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Insurance Type (USD Bn)
  • 9.2.1. Life and Health Insurance
  • 9.2.2. Property & Casualty Insurance
    • 9.2.2.1. Residential
    • 9.2.2.2. Commercial & Industrial
    • 9.2.2.3. Automotive
    • 9.2.2.4. Others (Agriculture, etc.)
  • 9.2.3. Others (Travel insurance, etc.)
• 9.3. By Distribution Channel (USD Bn)
  • 9.3.1. Direct Channels
    • 9.3.1.1. Ecommerce
    • 9.3.1.2. Own Sales Force
  • 9.3.2. Indirect Channels
    • 9.3.2.1. Agents/Brokers
    • 9.3.2.2. Retailers and Banks
    • 9.3.2.3. Others
• 9.4. By End User (USD Bn)
  • 9.4.1. Individuals
  • 9.4.2. SMEs
  • 9.4.3. Large Scale Enterprises
  • 9.4.4. Government
• 9.5. By Country (USD Bn)
  • 9.5.1. GCC Countries
    • 9.5.1.1. By End User (USD Bn)
  • 9.5.2. South Africa
    • 9.5.2.1. By End User (USD Bn)
  • 9.5.3. Turkey
    • 9.5.3.1. By End User (USD Bn)
  • 9.5.4. North Africa
    • 9.5.4.1. By End User (USD Bn)
  • 9.5.5. Rest of Middle East & Africa

10. Asia Pacific IoT Insurance Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Insurance Type (USD Bn)
  • 10.2.1. Life and Health Insurance
  • 10.2.2. Property & Casualty Insurance
    • 10.2.2.1. Residential
    • 10.2.2.2. Commercial & Industrial
    • 10.2.2.3. Automotive
    • 10.2.2.4. Others (Agriculture, etc.)
  • 10.2.3. Others (Travel insurance, etc.)
• 10.3. By Distribution Channel (USD Bn)
  • 10.3.1. Direct Channels
    • 10.3.1.1. Ecommerce
    • 10.3.1.2. Own Sales Force
  • 10.3.2. Indirect Channels
    • 10.3.2.1. Agents/Brokers
    • 10.3.2.2. Retailers and Banks
    • 10.3.2.3. Others
• 10.4. By End User (USD Bn)
  • 10.4.1. Individuals
  • 10.4.2. SMEs
  • 10.4.3. Large Scale Enterprises
  • 10.4.4. Government
• 10.5. By Country (USD Bn)
  • 10.5.1. China
    • 10.5.1.1. By End User (USD Bn)
  • 10.5.2. India
    • 10.5.2.1. By End User (USD Bn)
  • 10.5.3. Japan
    • 10.5.3.1. By End User (USD Bn)
  • 10.5.4. South Korea
    • 10.5.4.1. By End User (USD Bn)
  • 10.5.5. ASEAN
    • 10.5.5.1. By End User (USD Bn)
  • 10.5.6. Oceania
    • 10.5.6.1. By End User (USD Bn)
  • 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. Allianz SE
  • 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. AXA SA
  • 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. Munich Re
  • 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. Ping An 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. Zurich Insurance Group
  • 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. Prudential Plc
  • 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. Allstate Insurance Company
  • 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. Progressive Corporation
  • 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. Generali Group
  • 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. Admiral Group
  • 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