市場調查報告書

網絡保險的全球市場(按保險產品,產品類型,服務,公司規模,最終用戶劃分):競爭分析和盈利預測(到2030年)

Cyber Insurance Market Research Report: By Policy, Product Type, Service, Enterprise, End User - Global Competition Analysis and Revenue Forecast to 2030

出版商 Prescient & Strategic Intelligence Private Limited 商品編碼 968396
出版日期 內容資訊 英文 249 Pages
商品交期: 2-3個工作天內
價格
網絡保險的全球市場(按保險產品,產品類型,服務,公司規模,最終用戶劃分):競爭分析和盈利預測(到2030年) Cyber Insurance Market Research Report: By Policy, Product Type, Service, Enterprise, End User - Global Competition Analysis and Revenue Forecast to 2030
出版日期: 2020年06月01日內容資訊: 英文 249 Pages
簡介

儘管IT技術和數字化技術的進步帶來了許多好處,但網絡攻擊在全球範圍內正在增加,並且正在收集諸如信用卡號,社會保險號,電子郵件地址和密碼之類的個人數據。盜竊和侵權案件的數量繼續增加。結果,對網絡保險的需求已大大增加。

全球網絡保險市場預計將以26.3%的複合年增長率增長,從2019年的55.732億美元增長到2030年的70.671億美元。特別是,數據侵權保險的銷售量很大。近年來,對中小企業的銷售一直在增長,而銀行,金融服務和保險(BFSI)是最大的需求目的地。按區域劃分,北美國家是最大的市場,但亞太市場也在迅速擴展。

本報告分析了全球網絡保險市場,並總結了產品概述,市場背景,基本市場結構,主要市場促銷/限制因素以及實際/預測的市場規模(將來為11個)。我們正在按保險產品,產品類型,服務,公司規模,最終用戶和地區,市場競爭狀況,主要公司的概況等調查詳細趨勢。

目錄

第1章分析背景

第2章分析方法

第3章執行摘要

  • 行業專家/KOL的觀點

第4章市場指標

  • 數據洩漏造成的平均總損失
  • 惡意攻擊與所有數據洩露的比率
  • 數據洩漏的平均總損失:按地區(2019)
  • 數據洩漏的平均損壞量:按國家/地區分類(2019年)
  • 數據洩漏造成的平均總損害:按公司規模劃分(2019年)
  • 數據洩漏的平均規模:按國家/地區分類(2019)
  • 數據洩漏的平均總損失:按行業分類(2019)
  • 數據洩漏的平均損壞量:每例,按行業分類(2019年)
  • 互聯網用戶數量:按國家
  • 社交媒體平台的用戶數量
  • 來自歐洲電子商務銷售的總銷售
  • 全球風險感知分析(2018-2019)

第5章簡介

  • 市場細分的定義
    • 按保險產品
      • 數據洩露
      • 盜竊個人信息(ID)
      • 惡意軟件攻擊
      • 釣魚
      • 欺騙郵件
      • 其他
    • 產品類型
      • 獨立類型
      • 集成
    • 按服務
      • 保險
      • 帳單
      • 風險諮詢
    • 按公司規模
      • 大公司
      • 中小企業
    • 最終用戶
      • 銀行/金融服務/保險(BFSI)
      • IT/通訊
      • 醫療
      • 政府
      • 零售/電子商務
      • 製造業
      • 其他
  • 價值鏈分析
  • 市場動態
    • 市場趨勢
      • 勒索軟件攻擊增加
      • 醫療行業對網絡保險的需求不斷增長
    • 促進因素
      • 網絡攻擊數量增加
      • 頒佈網絡安全相關法律
      • 網絡安全保險作為降低風險的策略
      • 驅動因素對市場預測的影響分析
    • 抑製器
      • 歷史數據的可用性有限
      • 網絡風險性質的變化
      • 分析限制因素對市場預測的影響
    • 市場機會
      • 擴大在中小企業中的使用
  • 新的冠狀病毒感染(COVID-19):全球市場影響場景
    • 世界市場情況
    • 受COVID-19感染的國家
    • 全球進出口趨勢:每個國家的影響(2019)
    • GDP:世界情景
      • GDP增長率(2019)
      • GDP增長率(2020年)
      • GDP預測(2021年)
    • 評估COVID-19對GDP和經濟預測的影響
    • 評估COVID-19對各行業勞動力的影響
    • COVID-19對網絡安全/網絡保險的影響
      • 當前情況
      • COVID-19場景
      • 對市場增長產生積極影響的因素
      • 未來情況
      • 全球網絡保險市場:COVID-19對市場增長的影響
  • 市場中的網絡保險盈利能力
    • 損失率和總損失率的相互比較
      • 美國網絡損失率(2018)
      • 美國網絡總速率(2018)
  • 波特的五力分析

第6章網絡安全/數據隱私法規

  • HIPAA(醫療保險互操作性和責任法案)
  • 違反安全保護法修正案(2020)
  • CCPA(加利福尼亞消費者隱私法)
  • 網絡安全法
  • NIS指令
  • GDPR(通用數據保護法規)
  • CISA(網絡安全信息共享法)

第7章世界市場:市場規模和預測

  • 按保險產品
  • 按產品類型
  • 按服務
  • 按公司規模
  • 最終用戶
  • 按地區

第8章北美市場:市場規模和預測

第9章歐洲市場:市場規模和預測

第10章亞太市場:市場規模和預測

第11章拉丁美洲市場:市場規模和預測

第12章中東/非洲市場:市場規模和預測

第13章主要市場:細分分析

  • 美國網絡保險市場
    • 按保險產品
    • 最終用戶
  • 英國網絡保險市場
  • 德國網絡保險市場
  • 中國的網絡保險市場
  • 日本網絡保險市場
  • 阿拉伯聯合酋長國(UAE)的網絡保險市場
  • 印度網絡保險市場

第14章競爭情況

  • 主要公司的主要產品和服務:列表
  • 主要公司的市場份額分析
  • 主要公司的競爭分析
  • 主要公司的產品分析
  • 市場策略的發展現狀
    • 企業合併/收購(併購)
    • 產品發佈
    • 商業聯盟
    • 設備擴展
    • 擴展到其他地區
    • 獲得客戶
    • 其他趨勢

第15章公司簡介

  • American International Group Inc. (AIG)
  • Chubb Limited
  • Zurich Insurance Group AG
  • Berkshire Hathaway Inc.
  • Munich Re Group
  • Lockton Companies Inc.
  • Aon Plc
  • Allianz Group
  • AXA XL
  • Arthur J. Gallagher & Co.
  • The Travelers Companies Inc.
  • Beazley Plc
  • Fairfax Financial Holdings Limited
  • Axis Capital Holdings Limited
  • Liberty Mutual Holding Inc.
  • CNA Financial Corporation
  • The Hartford Financial Services Group Inc.
  • Sompo Holdings Inc.

第16章 附錄

目錄

Title:
Cyber Insurance Market Research Report: By Policy (Data Breach, Identity Theft, Malware Attack, Phishing, Email Spoofing), Product Type (Standalone, Integrated), Service (Insurance, Claims, Risk Consulting), Enterprise (Large Enterprises, SME), End User (BFSI, IT & Telecom, Healthcare, Government, Retail and E-Commerce, Manufacturing) - Global Competition Analysis and Revenue Forecast to 2030.

Owing to technological advancements, the world today is living in a digital era and the adoption of cloud solutions has increased significantly. While digitalization has numerous benefits, it has also resulted in the rise in number of cyber-attacks across the globe. Hackers are increasingly breaching personal data of people, including credit card numbers, social security number, email addresses, and passwords. Attributed to this, the need for cyber insurance has been growing substantially as well.

During January 2019-April 2020, approximately 8 billion records, including phone numbers, credit card numbers, and home addresses, have been exposed in data breaches. It is because of such factors that the global cyber insurance market is expected to reach a value of $70,671.9 million by 2030, from $5,573.2 million in 2019. The market is further predicted to register a 26.3% CAGR during the forecast period (2020-2030).

Among the various cyber insurance policies, the adoption of data breach policy was the highest in 2019. As enterprises are becoming highly reliant on digital data, cloud computing, and workforce mobility, the number of data breaches have increased substantially in recent years. Sensitive data of organizations and customers is typically stored in enterprise databases, cloud servers, and local machines, which are prone to data breaches. It is because of this that the demand for data breach policy has been increasing among companies, further driving the growth of the market.

Among the different types of enterprise, SMEs are making considerable use of cyber insurance. Such companies lack the needed security infrastructure and hence, are more susceptible to cyber security threats. Authorizing cyber insurance for SMEs was hard in the past, since these organizations lacked affordability and accessibility. However, now digital-first insurance providers have significantly decreased distribution costs. This has now enabled a large number of SMEs to opt for cyber insurance solutions. Other than this, large enterprises have been making adopting cyber insurance solutions since the very start.

Cyber insurance is being adopted by a number of these days, however, its largest demand in 219 was created by the BFSI industry, which is further expected to create the largest demand in the coming years as well. BFSI have been focusing intently on technological transformations for meeting the evolving needs of their customers. A lot of data has now been shifted on cloud, owing to its advantages. However, it has also raised concerns regarding data breaches in the industry, owing to which, they are widely adopting cyber insurance.

North America has emerged as a major cyber insurance market in recent years due to the presence of major services providers, including Lockton Incorporated, Chubb Group Holdings Inc., and American International Group Inc. Apart from this, the demand for cyber insurance is also expected to increase considerably in Asia-Pacific in the coming years, owing to the rising cyber security challenges, including cyber-attacks on blockchain systems and cloud security vulnerabilities.

In conclusion, rapid digitalization and surging number of data breaches are driving the growth of the market.

Table of Contents

Chapter 1. Research Background

  • 1.1 Research Objectives
  • 1.2 Market Definition
  • 1.3 Research Scope
    • 1.3.1 Market Segmentation by Policy
    • 1.3.2 Market Segmentation by Product Type
    • 1.3.3 Market Segmentation by Service
    • 1.3.4 Market Segmentation by Enterprise
    • 1.3.5 Market Segmentation by End User
    • 1.3.6 Market Segmentation by Region
    • 1.3.7 Analysis Period
    • 1.3.8 Market Data Reporting Unit
      • 1.3.8.1 Value
  • 1.4 Key Stakeholders

Chapter 2. Research Methodology

  • 2.1 Secondary Research
    • 2.1.1 Paid
    • 2.1.2 Unpaid
  • 2.2 Primary Research
    • 2.2.1 Breakdown of Primary Research Respondents
      • 2.2.1.1 By region
      • 2.2.1.2 By industry participant
      • 2.2.1.3 By company type
  • 2.3 Market Size Estimation
  • 2.4 Data Triangulation
  • 2.5 Currency Conversion Rates
  • 2.6 Assumptions for the Study
  • 2.7 Notes and Caveats

Chapter 3. Executive Summary

  • 3.1 Voice of Industry Experts/KOLs

Chapter 4. Market Indicators

  • 4.1 Average Total Cost of Data Breaches
  • 4.2 Share of Malicious Attacks in all Data Breaches
  • 4.3 Average Data Breach Cost in 2019, by Geography
  • 4.4 Average Data Breach Cost per Record per Country/Region in 2019
  • 4.5 Total Cost of a Data Breach, by Organization Size (2019)
  • 4.6 Average Number of Records per Breach by Country/Region in 2019
  • 4.7 Average Total Cost of Data Breaches, by Industry
  • 4.8 Average Cost of Data Breached per Record, by Industry
  • 4.9 Internet Users, by Country
  • 4.10 Social Media Platform Users
  • 4.11 E-Commerce Sales and Turnover from E-Commerce Sales in Europe
  • 4.12 Global Risks Perception Survey, 2018-2019

Chapter 5. Introduction

  • 5.1 Definition of Market Segments
    • 5.1.1 By Policy
      • 5.1.1.1 Data breach
      • 5.1.1.2 Identity theft
      • 5.1.1.3 Malware attack
      • 5.1.1.4 Phishing
      • 5.1.1.5 Email spoofing
      • 5.1.1.6 Others
    • 5.1.2 By Product Type
      • 5.1.2.1 Standalone
      • 5.1.2.2 Integrated
    • 5.1.3 By Service
      • 5.1.3.1 Insurance
      • 5.1.3.2 Claims
      • 5.1.3.3 Risk consulting
    • 5.1.4 By Enterprise
      • 5.1.4.1 Large enterprises
      • 5.1.4.2 SMEs
    • 5.1.5 By End User
      • 5.1.5.1 BFSI
      • 5.1.5.2 IT and telecom
      • 5.1.5.3 Healthcare
      • 5.1.5.4 Government
      • 5.1.5.5 Retail & e-commerce
      • 5.1.5.6 Manufacturing
      • 5.1.5.7 Others
  • 5.2 Value Chain Analysis
  • 5.3 Market Dynamics
    • 5.3.1 Trends
      • 5.3.1.1 Rise in ransomware attacks
      • 5.3.1.2 Rising cyber insurance demand in healthcare industry
    • 5.3.2 Drivers
      • 5.3.2.1 Increasing number of cyber-attacks
      • 5.3.2.2 Rise in legislations concerning cybersecurity
      • 5.3.2.3 Cybersecurity insurance as a risk mitigation strategy
      • 5.3.2.4 Impact analysis of drivers on market forecast
    • 5.3.3 Restraints
      • 5.3.3.1 Limited availability of historical data
      • 5.3.3.2 Changing nature of cyber risk
      • 5.3.3.3 Impact analysis of restraints on market forecast
    • 5.3.4 Opportunities
      • 5.3.4.1 Growing adoption by SMEs
  • 5.4 COVID-19 Global Impact Scenario
    • 5.4.1 Global Scenario
    • 5.4.2 COVID-19-Infected Countries
    • 5.4.3 Contribution of Countries in Global Export and Import (2019)
    • 5.4.4 GDP: Global Scenario
      • 5.4.4.1 GDP Growth Rate (2019)
      • 5.4.4.2 GDP Growth Rate (2020)
      • 5.4.4.3 GDP Projection for 2021
    • 5.4.5 Assessment of COVID-19 Impact on GDP and Economic Forecast
    • 5.4.6 Assessment of COVID-19 Impact on Workforce Across Various Sectors
    • 5.4.7 Impact of COVID-19 on Cybersecurity and Cyber Insurance
      • 5.4.7.1 Current Scenario
      • 5.4.7.2 COVID-19 Scenario
      • 5.4.7.3 Factors Affecting Positive Market Growth
      • 5.4.7.4 Future Scenario
      • 5.4.7.5 Global Cyber Insurance Market: Covid-19 Impact on Growth
  • 5.5 Profitability of Cyber Insurance in the Market
    • 5.5.1 Benchmark Loss Ratios and Combined Ratios
      • 5.5.1.1 U.S. Cyber Loss Ratios in 2018
      • 5.5.1.2 U.S. Cyber Combined Ratios in 2018
  • 5.6 Porter's Five Forces Analysis
    • 5.6.1 Bargaining Power of Buyers
    • 5.6.2 Bargaining Power of Suppliers
    • 5.6.3 Intensity of Rivalry
    • 5.6.4 Threat of New Entrants
    • 5.6.5 Threat of Substitutes

Chapter 6. Cybersecurity and Data Privacy Regulatory Landscape

  • 6.1 Health Insurance Portability and Accountability Act (HIPAA)
  • 6.2 Security Breach Protection Amendment Act of 2020
  • 6.3 California Consumer Privacy Act (CCPA)
  • 6.4 Cybersecurity Act
  • 6.5 NIS Directive
  • 6.6 General Data Protection Regulation (GDPR)
  • 6.7 Cybersecurity Information Sharing Act (CISA)

Chapter 7. Global Market Size and Forecast

  • 7.1 By Policy
  • 7.2 By Product Type
  • 7.3 By Service
  • 7.4 By Enterprise
  • 7.5 By End User
  • 7.6 By Region

Chapter 8. North America Market Size and Forecast

  • 8.1 By Policy
  • 8.2 By Product Type
  • 8.3 By Service
  • 8.4 By Enterprise
  • 8.5 By End User
  • 8.6 By Country

Chapter 9. Europe Market Size and Forecast

  • 9.1 By Policy
  • 9.2 By Product Type
  • 9.3 By Service
  • 9.4 By Enterprise
  • 9.5 By End User
  • 9.6 By Country

Chapter 10. APAC Market Size and Forecast

  • 10.1 By Policy
  • 10.2 By Product Type
  • 10.3 By Service
  • 10.4 By Enterprise
  • 10.5 By End User
  • 10.6 By Country

Chapter 11. LATAM Market Size and Forecast

  • 11.1 By Policy
  • 11.2 By Product Type
  • 11.3 By Service
  • 11.4 By Enterprise
  • 11.5 By End User
  • 11.6 By Country

Chapter 12. MEA Market Size and Forecast

  • 12.1 By Policy
  • 12.2 By Product Type
  • 12.3 By Service
  • 12.4 By Enterprise
  • 12.5 By End User
  • 12.6 By Country

Chapter 13. Major Markets: Segment Analysis

  • 13.1 U.S. Cyber Insurance Market
    • 13.1.1 U.S. Market Revenue, by Policy
    • 13.1.2 U.S. Market Revenue, by End User
  • 13.2 U.K. Cyber Insurance Market
    • 13.2.1 U.K. Market Revenue, by Policy
    • 13.2.2 U.K. Market Revenue, by End User
  • 13.3 Germany Cyber Insurance Market
    • 13.3.1 Germany Market Revenue, by Policy
    • 13.3.2 Germany Market Revenue, by End User
  • 13.4 China Cyber Insurance Market
    • 13.4.1 China Market Revenue, by Policy
    • 13.4.2 China Market Revenue, by End User
  • 13.5 Japan Cyber Insurance Market
    • 13.5.1 Japan Market Revenue, by Policy
    • 13.5.2 Japan Market Revenue, by End User
  • 13.6 U.A.E. Cyber Insurance Market
    • 13.6.1 U.A.E. Market Revenue, by Policy
    • 13.6.2 U.A.E. Market Revenue, by End User
  • 13.7 India Cyber Insurance Market
    • 13.7.1 India Market Revenue, by Policy
    • 13.7.2 India Market Revenue, by End User

Chapter 14. Competitive Landscape

  • 14.1 List of Players and Their Offerings
  • 14.2 Market Share Analysis of Key Players
  • 14.3 Competitive Analysis of Key Players
  • 14.4 Product Analysis of Key Players
  • 14.5 Strategic Developments in the Market
    • 14.5.1 Mergers and Acquisitions
    • 14.5.2 Product Launches
    • 14.5.3 Partnerships
    • 14.5.4 Facility Expansions
    • 14.5.5 Geographic Expansions
    • 14.5.6 Client Wins
    • 14.5.7 Other Developments

Chapter 15. Company Profiles

  • 15.1 American International Group Inc. (AIG)
    • 15.1.1 Business Overview
    • 15.1.2 Product and Service Offerings
    • 15.1.3 Cyber Insurance Products
    • 15.1.4 Key Financial Summary
  • 15.2 Chubb Limited
    • 15.2.1 Business Overview
    • 15.2.2 Product and Service Offerings
    • 15.2.3 Cyber Insurance Products
    • 15.2.4 Key Financial Summary
  • 15.3 Zurich Insurance Group AG
    • 15.3.1 Business Overview
    • 15.3.2 Product and Service Offerings
    • 15.3.3 Cyber Insurance Products
    • 15.3.4 Key Financial Summary
  • 15.4 Berkshire Hathaway Inc.
    • 15.4.1 Business Overview
    • 15.4.2 Product and Service Offerings
    • 15.4.3 Cyber Insurance Products
    • 15.4.4 Key Financial Summary
  • 15.5 Munich Re Group
    • 15.5.1 Business Overview
    • 15.5.2 Product and Service Offerings
    • 15.5.3 Cyber Insurance Products
    • 15.5.4 Key Financial Summary
  • 15.6 Lockton Companies Inc.
    • 15.6.1 Business Overview
    • 15.6.2 Product and Service Offerings
    • 15.6.3 Cyber Insurance Products
  • 15.7 Aon Plc
    • 15.7.1 Business Overview
    • 15.7.2 Product and Service Offerings
    • 15.7.3 Key Financial Summary
  • 15.8 Allianz Group
    • 15.8.1 Business Overview
    • 15.8.2 Product and Service Offerings
    • 15.8.3 Cyber Insurance Products
    • 15.8.4 Key Financial Summary
  • 15.9 AXA XL
    • 15.9.1 Business Overview
    • 15.9.2 Product and Service Offerings
    • 15.9.3 Cyber Insurance Products
    • 15.9.4 Key Financial Summary
  • 15.10 Arthur J. Gallagher & Co.
    • 15.10.1 Business Overview
    • 15.10.2 Product and Service Offerings
    • 15.10.3 Cyber Insurance Products
    • 15.10.4 Key Financial Summary
  • 15.11 The Travelers Companies Inc.
    • 15.11.1 Business Overview
    • 15.11.2 Product and Service Offerings
    • 15.11.3 Cyber Insurance Products
    • 15.11.4 Key Financial Summary
  • 15.12 Beazley Plc
    • 15.12.1 Business Overview
    • 15.12.2 Product and Service Offerings
    • 15.12.3 Cyber Insurance Products
    • 15.12.4 Key Financial Summary
  • 15.13 Fairfax Financial Holdings Limited
    • 15.13.1 Business Overview
    • 15.13.2 Product and Service Offerings
    • 15.13.3 Key Financial Summary
  • 15.14 Axis Capital Holdings Limited
    • 15.14.1 Business Overview
    • 15.14.2 Product and Service Offerings
    • 15.14.3 Cyber Insurance Products
    • 15.14.4 Key Financial Summary
  • 15.15 Liberty Mutual Holding Inc.
    • 15.15.1 Business Overview
    • 15.15.2 Product and Service Offerings
    • 15.15.3 Cyber Insurance Products
    • 15.15.4 Key Financial Summary
  • 15.16 CNA Financial Corporation
    • 15.16.1 Business Overview
    • 15.16.2 Cyber Insurance Products
    • 15.16.3 Key Financial Summary
  • 15.17 The Hartford Financial Services Group Inc.
    • 15.17.1 Business Overview
    • 15.17.2 Cyber Insurance Products
    • 15.17.3 Key Financial Summary
  • 15.18 Sompo Holdings Inc.
    • 15.18.1 Business Overview
    • 15.18.2 Product and Service Offerings
    • 15.18.3 Cyber Insurance Products
    • 15.18.4 Key Financial Summary

Chapter 16. Appendix

  • 16.1 Abbreviations
  • 16.2 Sources and References
  • 16.3 Related Reports

List of Tables

  • TABLE 1 ANALYSIS PERIOD OF THE STUDY
  • TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 4 COVID-19 IMPACT ANALYSIS ON DIFFERENT SECTORS
  • TABLE 5 GLOBAL CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 6 GLOBAL CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 7 GLOBAL CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 8 GLOBAL CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 9 GLOBAL CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 10 GLOBAL CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 11 GLOBAL CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 12 GLOBAL CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 13 GLOBAL CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 14 GLOBAL CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 15 GLOBAL CYBER INSURANCE MARKET, BY REGION, $M (2014-2019)
  • TABLE 16 GLOBAL CYBER INSURANCE MARKET, BY REGION, $M (2020-2030)
  • TABLE 17 NORTH AMERICA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 18 NORTH AMERICA CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 19 NORTH AMERICA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 20 NORTH AMERICA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 21 NORTH AMERICA CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 22 NORTH AMERICA CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 23 NORTH AMERICA CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 24 NORTH AMERICA CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 25 NORTH AMERICA CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 26 NORTH AMERICA CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 27 NORTH AMERICA CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 28 NORTH AMERICA CYBER INSURANCE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 29 EUROPE CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 30 EUROPE CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 31 EUROPE CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 32 EUROPE CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 33 EUROPE CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 34 EUROPE CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 35 EUROPE CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 36 EUROPE CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 37 EUROPE CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 38 EUROPE CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 39 EUROPE CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 40 EUROPE CYBER INSURANCE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 41 APAC CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 42 APAC CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 43 APAC CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 44 APAC CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 45 APAC CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 46 APAC CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 47 APAC CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 48 APAC CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 49 APAC CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 50 APAC CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 51 APAC CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 52 APAC CYBER INSURANCE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 53 LATAM CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 54 LATAM CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 55 LATAM CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 56 LATAM CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 57 LATAM CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 58 LATAM CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 59 LATAM CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 60 LATAM CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 61 LATAM CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 62 LATAM CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 63 LATAM CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 64 LATAM CYBER INSURANCE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 65 MEA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 66 MEA CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 67 MEA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2019)
  • TABLE 68 MEA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2020-2030)
  • TABLE 69 MEA CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2019)
  • TABLE 70 MEA CYBER INSURANCE MARKET, BY SERVICE, $M (2020-2030)
  • TABLE 71 MEA CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2019)
  • TABLE 72 MEA CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2020-2030)
  • TABLE 73 MEA CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 74 MEA CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 75 MEA CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2019)
  • TABLE 76 MEA CYBER INSURANCE MARKET, BY COUNTRY, $M (2020-2030)
  • TABLE 77 U.S. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 78 U.S. CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 79 U.S. CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 80 U.S. CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 81 U.K. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 82 U.K. CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 83 U.K. CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 84 U.K. CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 85 GERMANY CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 86 GERMANY CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 87 GERMANY CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 88 GERMANY CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 89 CHINA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 90 CHINA CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 91 CHINA CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 92 CHINA CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 93 JAPAN CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 94 JAPAN CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 95 JAPAN CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 96 JAPAN CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 97 U.A.E. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 98 U.A.E. CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 99 U.A.E. CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 100 U.A.E. CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 101 INDIA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2019)
  • TABLE 102 INDIA CYBER INSURANCE MARKET, BY POLICY, $M (2020-2030)
  • TABLE 103 INDIA CYBER INSURANCE MARKET, BY END USER, $M (2014-2019)
  • TABLE 104 INDIA CYBER INSURANCE MARKET, BY END USER, $M (2020-2030)
  • TABLE 105 LIST OF PLAYERS AND THEIR OFFERINGS
  • TABLE 106 COMPETITIVE ANALYSIS OF KEY PLAYERS
  • TABLE 107 PRODUCT ANALYSIS OF KEY PLAYERS
  • TABLE 108 AIG - AT A GLANCE
  • TABLE 109 AIG - KEY FINANCIAL SUMMARY
  • TABLE 110 CHUBB LIMITED - AT A GLANCE
  • TABLE 111 CHUBB LIMITED - KEY FINANCIAL SUMMARY
  • TABLE 112 ZURICH INSURANCE GROUP AG - AT A GLANCE
  • TABLE 113 ZURICH INSURANCE GROUP AG - KEY FINANCIAL SUMMARY
  • TABLE 114 BERKSHIRE HATHAWAY INC. - AT A GLANCE
  • TABLE 115 BERKSHIRE HATHAWAY INC. - KEY FINANCIAL SUMMARY
  • TABLE 116 MUNICH RE GROUP - AT A GLANCE
  • TABLE 117 MUNICH RE GROUP - KEY FINANCIAL SUMMARY
  • TABLE 118 LOCKTON COMPANIES INC. - AT A GLANCE
  • TABLE 119 AON PLC - AT A GLANCE
  • TABLE 120 AON PLC - KEY FINANCIAL SUMMARY
  • TABLE 121 ALLIANZ GROUP - AT A GLANCE
  • TABLE 122 ALLIANZ GROUP - KEY FINANCIAL SUMMARY
  • TABLE 123 AXA XL - AT A GLANCE
  • TABLE 124 AXA XL - KEY FINANCIAL SUMMARY
  • TABLE 125 ARTHUR J. GALLAGHER AND CO. - AT A GLANCE
  • TABLE 126 ARTHUR J. GALLAGHER & CO. - KEY FINANCIAL SUMMARY
  • TABLE 127 THE TRAVELERS COMPANIES INC. - AT A GLANCE
  • TABLE 128 THE TRAVELERS COMPANIES INC. - KEY FINANCIAL SUMMARY
  • TABLE 129 BEAZLEY PLC - AT A GLANCE
  • TABLE 130 BEAZLEY PLC - KEY FINANCIAL SUMMARY
  • TABLE 131 FAIRFAX FINANCIAL HOLDINGS LIMITED - AT A GLANCE
  • TABLE 132 FAIRFAX FINANCIAL HOLDINGS LIMITED - KEY FINANCIAL SUMMARY
  • TABLE 133 AXIS CAPITAL HOLDINGS LIMITED - AT A GLANCE
  • TABLE 134 AXIS CAPITAL HOLDINGS LIMITED - KEY FINANCIAL SUMMARY
  • TABLE 135 LIBERTY MUTUAL HOLDING INC. - AT A GLANCE
  • TABLE 136 LIBERTY MUTUAL HOLDING COMPANY INC. - KEY FINANCIAL SUMMARY
  • TABLE 137 CNA FINANCIAL CORPORATION - AT A GLANCE
  • TABLE 138 CNA FINANCIAL CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 139 THE HARTFORD FINANCIAL SERVICES GROUP INC. - AT A GLANCE
  • TABLE 140 THE HARTFORD FINANCIAL SERVICES GROUP INC. - KEY FINANCIAL SUMMARY
  • TABLE 141 SOMPO HOLDINGS INC. - AT A GLANCE
  • TABLE 142 SOMPO HOLDINGS INC. - KEY FINANCIAL SUMMARY

List of Figures

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 6 DATA TRIANGULATION APPROACH
  • FIG 7 CURRENCY CONVERSION RATES FOR USD (2019)
  • FIG 8 GLOBAL CYBER INSURANCE MARKET SUMMARY
  • FIG 9 OPINION OF INDUSTRY EXPERTS/KOLS
  • FIG 10 GLOBAL AVERAGE TOTAL COST OF DATA BREACHES, $M
  • FIG 11 GLOBAL SHARE OF MALICIOUS ATTACKS IN ALL DATA BREACHES, $M
  • FIG 12 AVERAGE DATA BREACH COST, BY GEOGRAPHY, $M (2019)
  • FIG 13 AVERAGE DATA BREACH COST PER RECORD, BY COUNTRY/REGION, USD (2019)
  • FIG 14 TOTAL COST OF A DATA BREACH, BY ORGANIZATION SIZE, $M (2019)
  • FIG 15 AVERAGE NUMBER OF RECORDS PER BREACH, BY COUNTRY/REGION (2019)
  • FIG 16 AVERAGE TOTAL COST OF DATA BREACHES, BY INDUSTRY, $M (2019)
  • FIG 17 AVERAGE COST OF DATA BREACHES PER RECORD, BY INDUSTRY, USD (2019)
  • FIG 18 INTERNET USERS, BY COUNTRY, IN MILLIONS (2019)
  • FIG 19 SOCIAL MEDIA USERS, BY PLATFORM TYPE, IN MILLIONS (2010-2018)
  • FIG 20 E-COMMERCE SALES AND TURNOVER FROM E-COMMERCE SALES IN EUROPE (2010-2018)
  • FIG 21 PERCENTAGE OF RESPONDENTS EXPECTING INCREASED RISK IN 2019
  • FIG 22 VALUE CHAIN ANALYSIS OF GLOBAL CYBER INSURANCE MARKET
  • FIG 23 STEPS OF BUYING IN INSURANCE
  • FIG 24 NUMBER OF IDENTITY THEFT, FRAUD, AND OTHER CYBERCRIME REPORTS IN THE U.S., IN MILLIONS (2010-2019)
  • FIG 25 COVID-19 INFECTED COUNTRIES
  • FIG 26 TOP 20 COUNTRIES, BY EXPORT ($B)
  • FIG 27 TOP 20 COUNTRIES, BY IMPORT ($B)
  • FIG 28 GDP GROWTH RATE (2019)
  • FIG 29 GDP GROWTH RATE (2020)
  • FIG 30 GDP GROWTH RATE (2021)
  • FIG 31 ASSESSMENT OF COVID-19 IMPACT ON GDP AND ECONOMIC FORECAST
  • FIG 32 NUMBER OF IDENTITY THEFT, FRAUD, AND OTHER CYBERCRIME REPORTS IN U.S., IN MILLIONS (2014-2023)
  • FIG 33 CYBER CLAIMS IN U.S. (2015-2023)
  • FIG 34 GLOBAL CYBER INSURANCE MARKET: COVID-19 IMPACT ON GROWTH
  • FIG 35 CYBER CLAIMS IN U.S., BY POLICY AND TYPE (2015-2018)
  • FIG 36 STANDALONE AND INTEGRATED DIRECT PAID LOSS AND DCC PAID RATIOS (2015-2018)
  • FIG 37 CYBER LOSS RATIOS IN U.S. (2018)
  • FIG 38 CYBER LOSS RATIOS IN U.S. (2015-2018)
  • FIG 39 CYBER LOSS RATIOS IN U.S. FOR ALL POLICIES, 2017 VS 2018
  • FIG 40 CYBER COMBINED RATIOS IN U.S. (2018)
  • FIG 41 BARGAINING POWER OF BUYERS
  • FIG 42 BARGAINING POWER OF SUPPLIERS
  • FIG 43 INTENSITY OF RIVALRY
  • FIG 44 THREAT OF NEW ENTRANTS
  • FIG 45 THREAT OF SUBSTITUTES
  • FIG 46 GLOBAL CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 47 GLOBAL CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 48 GLOBAL CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 49 GLOBAL CYBER INSURANCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 50 GLOBAL CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 51 WORLDWIDE MAJOR MARKETS FOR CYBER INSURANCE
  • FIG 52 GLOBAL CYBER INSURANCE MARKET, BY REGION, $M (2014-2030)
  • FIG 53 NORTH AMERICA CYBER INSURANCE MARKET SNAPSHOT
  • FIG 54 NORTH AMERICA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 55 NORTH AMERICA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 56 NORTH AMERICA CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 57 NORTH AMERICA CYBER INSURNCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 58 NORTH AMERICA CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 59 NORTH AMERICA CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 60 EUROPE CYBER INSURANCE MARKET SNAPSHOT
  • FIG 61 EUROPE CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 62 EUROPE CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 63 EUROPE CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 64 EUROPE CYBER INSURNCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 65 EUROPE CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 66 EUROPE CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 67 APAC CYBER INSURANCE MARKET SNAPSHOT
  • FIG 68 APAC CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 69 APAC CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 70 APAC CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 71 APAC CYBER INSURNCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 72 APAC CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 73 APAC CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 74 LATAM CYBER INSURANCE MARKET SNAPSHOT
  • FIG 75 LATAM CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 76 LATAM CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 77 LATAM CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 78 LATAM CYBER INSURNCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 79 LATAM CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 80 LATAM CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 81 MEA CYBER INSURANCE MARKET SNAPSHOT
  • FIG 82 MEA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 83 MEA CYBER INSURANCE MARKET, BY PRODUCT TYPE, $M (2014-2030)
  • FIG 84 MEA CYBER INSURANCE MARKET, BY SERVICE, $M (2014-2030)
  • FIG 85 MEA CYBER INSURNCE MARKET, BY ENTERPRISE, $M (2014-2030)
  • FIG 86 MEA CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 87 MEA CYBER INSURANCE MARKET, BY COUNTRY, $M (2014-2030)
  • FIG 88 U.S. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 89 U.S. CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 90 U.K. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 91 U.K. CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 92 GERMANY CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 93 GERMANY CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 94 CHINA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 95 CHINA CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 96 JAPAN CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 97 JAPAN CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 98 U.A.E. CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 99 U.A.E. CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 100 INDIA CYBER INSURANCE MARKET, BY POLICY, $M (2014-2030)
  • FIG 101 INDIA CYBER INSURANCE MARKET, BY END USER, $M (2014-2030)
  • FIG 102 GLOBAL CYBER INSURANCE MARKET SHARE OF KEY PLAYERS (2019)
  • FIG 103 AIG - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 104 CHUBB LIMITED - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 105 ZURICH INSURANCE GROUP AG - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 106 BERKSHIRE HATHAWAY INC. - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 107 MUNICH RE GROUP - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 108 AON PLC - REVENUE SPLIT BY SERVICE LINE AND GEOGRAPHY (2019)
  • FIG 109 ALLIANZ GROUP - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 110 AXA XL - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 111 ARTHUR J. GALLAGHER & CO. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 112 THE TRAVELERS COMPANIES INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 113 BEAZLEY PLC - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 114 FAIRFAX FINANCIAL HOLDINGS LIMITED - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 115 AXIS CAPITAL HOLDINGS LIMITED - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 116 CNA FINANCIAL CORPORATION - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 117 THE HARTFORD FINANCIAL SERVICES GROUP INC. - REVENUE SPLIT BY SEGMENT (2019)
  • FIG 118 SOMPO HOLDINGS INC. - REVENUE SPLIT BY SEGMENT (2019)