市場調査レポート

商品コード

保険不正検知市場：コンポーネント別、導入形態別、企業規模別（大企業、中小企業）、用途別：世界の機会分析および産業予測、2021-2031年

Insurance Fraud Detection Market By Component, By Deployment Mode, By Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises ), By Applications : Global Opportunity Analysis and Industry Forecast, 2021-2031

出版日: 2022年06月01日 | 発行: Allied Market Research

| ページ情報: 英文 291 Pages | 納期: 2～3営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

保険金詐欺は、保険契約の買い手と売り手のどちらかが違法行為を行うことです。

発行者による保険詐欺には、存在しない会社の保険を販売すること、保険料を提出しないこと、より多くの手数料を得るために保険を解約することなどが含まれます。一方、購入者による詐欺は、誇大な保険金請求、病歴の偽造、後日契約、生命保険金詐欺、死亡や誘拐の偽装、殺人などです。

偽の医療記録、不正確な請求、誘拐などを含む保険詐欺の件数が急増したため、保険市場では不正な請求決済活動を減らすための詐欺検出製品およびソリューションが台頭しています。また、高度な分析技術やテクノロジーの採用が進んでいることも、市場の成長を後押しする要因の一つとなっています。さらに、保険不正検出のためのサイバーセキュリティインフラの台頭も、市場成長の主な促進要因となっています。しかし、多くの保険会社は時代遅れの社内システムを使用しており、エクセルシート上の不正を検出するためにナレッジワーカーやビジネスルールを含む手作業に頼っています。また、データの不適切な取り扱いや顧客のプライバシーが、保険不正検知市場を制限する主な要因の一つとなっています。これとは逆に、技術の進歩や、保険金請求における不正の検出における人工知能や機械学習の採用は、今後数年間で有利な成長機会をもたらすと予想されます。

概要
- 市場規模・予測
支払い詐欺と請求詐欺
- 主な市場動向、成長要因、機会
- 市場規模・予測：地域別
- 市場分析：国別
個人情報漏洩
- 主な市場動向、成長要因、機会
- 市場規模・予測：地域別
- 市場分析：国別
クレーム詐欺
- 主な市場動向、成長要因、機会
- 市場規模・予測：地域別
- 市場分析：国別
マネーロンダリング
- 主な市場動向、成長要因、機会
- 市場規模・予測：地域別
- 市場分析：国別

第8章保険不正検知市場：地域別

概要
- 市場規模・予測
アジア太平洋地域
- 主な動向と機会
- アジア太平洋地域の市場規模・予測：コンポーネント別
- アジア太平洋地域の市場規模・予測：デプロイメントモード別
- アジア太平洋地域の市場規模・予測：企業規模別
- アジア太平洋地域の市場規模・予測：アプリケーション別
- アジア太平洋地域の市場規模・予測：国別
  - 中国
  - インド
  - 日本
  - オーストラリア
  - 韓国
  - その他アジア太平洋地域
欧州
- 主な動向と機会
- 欧州の市場規模・予測：コンポーネント別
- 欧州市場規模・予測：デプロイメントモード別
- 欧州市場規模・予測：企業規模別
- 欧州市場規模・予測：アプリケーション別
- 欧州市場規模・予測：国別
  - 英国
  - ドイツ
  - フランス
  - イタリア
  - スペイン
  - ロシア
  - その他の欧州
北米
- 主な動向と機会
- 北米の市場規模・予測：コンポーネント別
- 北米市場規模・予測：デプロイメントモード別
- 北米市場規模・予測：企業規模別
- 北米市場の規模・予測：アプリケーション別
- 北米市場規模・予測：国別
  - 米国
  - カナダ
ラムア
- 主要動向と機会
- LAMEAの市場規模・予測：コンポーネント別
- LAMEAの市場規模・予測：デプロイメントモード別
- LAMEAの市場規模・予測：企業規模別
- LAMEAの市場規模・予測：アプリケーション別
- LAMEAの市場規模・予測：国別
  - ラテンアメリカ
  - 中東
  - アフリカ

第9章企業情勢

イントロダクション
主要成功戦略
主要10社の製品マッピング
競合ダッシュボード
競合のヒートマップ
主な発展

第10章企業プロファイル

BAE Systems
Duck Creek Technologies
Equifax Inc.
Experian Information Solutions, Inc.
FICO
FRISS
Fiserv, Inc.
IBM
LexisNexis Risk Solutions Group.
SAS Institute Inc.

図表

LIST OF TABLES

TABLE 1. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 2. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SOLUTION, BY REGION , 2021-2031,($MILLION)
TABLE 3. INSURANCE FRAUD DETECTION MARKET FOR SOLUTION BY COUNTRY, 2021-2031,($MILLION)
TABLE 4. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SERVICES, BY REGION , 2021-2031,($MILLION)
TABLE 5. INSURANCE FRAUD DETECTION MARKET FOR SERVICES BY COUNTRY, 2021-2031,($MILLION)
TABLE 6. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 7. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR ON-PREMISES, BY REGION , 2021-2031,($MILLION)
TABLE 8. INSURANCE FRAUD DETECTION MARKET FOR ON-PREMISES BY COUNTRY, 2021-2031,($MILLION)
TABLE 9. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR CLOUD, BY REGION , 2021-2031,($MILLION)
TABLE 10. INSURANCE FRAUD DETECTION MARKET FOR CLOUD BY COUNTRY, 2021-2031,($MILLION)
TABLE 11. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 12. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR LARGE ENTERPRISES, BY REGION , 2021-2031,($MILLION)
TABLE 13. INSURANCE FRAUD DETECTION MARKET FOR LARGE ENTERPRISES BY COUNTRY, 2021-2031,($MILLION)
TABLE 14. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY REGION , 2021-2031,($MILLION)
TABLE 15. INSURANCE FRAUD DETECTION MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) BY COUNTRY, 2021-2031,($MILLION)
TABLE 16. GLOBAL INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 17. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR PAYMENT FRAUD AND BILLING FRAUD, BY REGION , 2021-2031,($MILLION)
TABLE 18. INSURANCE FRAUD DETECTION MARKET FOR PAYMENT FRAUD AND BILLING FRAUD BY COUNTRY, 2021-2031,($MILLION)
TABLE 19. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR IDENTITY THEFT, BY REGION , 2021-2031,($MILLION)
TABLE 20. INSURANCE FRAUD DETECTION MARKET FOR IDENTITY THEFT BY COUNTRY, 2021-2031,($MILLION)
TABLE 21. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR CLAIMS FRAUD, BY REGION , 2021-2031,($MILLION)
TABLE 22. INSURANCE FRAUD DETECTION MARKET FOR CLAIMS FRAUD BY COUNTRY, 2021-2031,($MILLION)
TABLE 23. INSURANCE FRAUD DETECTION MARKET REVENUE, FOR MONEY LAUNDERING, BY REGION , 2021-2031,($MILLION)
TABLE 24. INSURANCE FRAUD DETECTION MARKET FOR MONEY LAUNDERING BY COUNTRY, 2021-2031,($MILLION)
TABLE 25. INSURANCE FRAUD DETECTION MARKET, BY REGION, 2021-2031,($MILLION)
TABLE 26. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 27. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 28. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 29. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 30. ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
TABLE 31. CHINA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 32. CHINA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 33. CHINA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 34. CHINA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 35. INDIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 36. INDIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 37. INDIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 38. INDIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 39. JAPAN INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 40. JAPAN INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 41. JAPAN INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 42. JAPAN INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 43. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 44. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 45. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 46. AUSTRALIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 47. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 48. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 49. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 50. SOUTH KOREA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 51. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 52. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 53. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 54. REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 55. EUROPE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 56. EUROPE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 57. EUROPE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 58. EUROPE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 59. EUROPE INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
TABLE 60. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 61. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 62. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 63. UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 64. GERMANY INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 65. GERMANY INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 66. GERMANY INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 67. GERMANY INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 68. FRANCE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 69. FRANCE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 70. FRANCE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 71. FRANCE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 72. ITALY INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 73. ITALY INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 74. ITALY INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 75. ITALY INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 76. SPAIN INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 77. SPAIN INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 78. SPAIN INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 79. SPAIN INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 80. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 81. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 82. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 83. RUSSIA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 84. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 85. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 86. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 87. REST OF EUROPE INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 88. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 89. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 90. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 91. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 92. NORTH AMERICA INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
TABLE 93. U.S. INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 94. U.S. INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 95. U.S. INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 96. U.S. INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 97. CANADA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 98. CANADA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 99. CANADA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 100. CANADA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 101. LAMEA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 102. LAMEA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 103. LAMEA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 104. LAMEA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 105. LAMEA INSURANCE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031,($MILLION)
TABLE 106. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 107. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 108. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 109. LATIN AMERICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 110. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 111. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 112. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 113. MIDDLE EAST INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 114. AFRICA INSURANCE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031,($MILLION)
TABLE 115. AFRICA INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE, 2021-2031,($MILLION)
TABLE 116. AFRICA INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE, 2021-2031,($MILLION)
TABLE 117. AFRICA INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS, 2021-2031,($MILLION)
TABLE 118.BAE SYSTEMS: COMPANY SNAPSHOT
TABLE 119.BAE SYSTEMS: OPERATING SEGMENTS
TABLE 120.BAE SYSTEMS: PRODUCT PORTFOLIO
TABLE 121.BAE SYSTEMS: NET SALES,
TABLE 122.BAE SYSTEMS: KEY STRATERGIES
TABLE 123.DUCK CREEK TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 124.DUCK CREEK TECHNOLOGIES: OPERATING SEGMENTS
TABLE 125.DUCK CREEK TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 126.DUCK CREEK TECHNOLOGIES: NET SALES,
TABLE 127.DUCK CREEK TECHNOLOGIES: KEY STRATERGIES
TABLE 128.EQUIFAX INC.: COMPANY SNAPSHOT
TABLE 129.EQUIFAX INC.: OPERATING SEGMENTS
TABLE 130.EQUIFAX INC.: PRODUCT PORTFOLIO
TABLE 131.EQUIFAX INC.: NET SALES,
TABLE 132.EQUIFAX INC.: KEY STRATERGIES
TABLE 133.EXPERIAN INFORMATION SOLUTIONS, INC.: COMPANY SNAPSHOT
TABLE 134.EXPERIAN INFORMATION SOLUTIONS, INC.: OPERATING SEGMENTS
TABLE 135.EXPERIAN INFORMATION SOLUTIONS, INC.: PRODUCT PORTFOLIO
TABLE 136.EXPERIAN INFORMATION SOLUTIONS, INC.: NET SALES,
TABLE 137.EXPERIAN INFORMATION SOLUTIONS, INC.: KEY STRATERGIES
TABLE 138.FICO: COMPANY SNAPSHOT
TABLE 139.FICO: OPERATING SEGMENTS
TABLE 140.FICO: PRODUCT PORTFOLIO
TABLE 141.FICO: NET SALES,
TABLE 142.FICO: KEY STRATERGIES
TABLE 143.FRISS: COMPANY SNAPSHOT
TABLE 144.FRISS: OPERATING SEGMENTS
TABLE 145.FRISS: PRODUCT PORTFOLIO
TABLE 146.FRISS: NET SALES,
TABLE 147.FRISS: KEY STRATERGIES
TABLE 148.FISERV, INC.: COMPANY SNAPSHOT
TABLE 149.FISERV, INC.: OPERATING SEGMENTS
TABLE 150.FISERV, INC.: PRODUCT PORTFOLIO
TABLE 151.FISERV, INC.: NET SALES,
TABLE 152.FISERV, INC.: KEY STRATERGIES
TABLE 153.IBM: COMPANY SNAPSHOT
TABLE 154.IBM: OPERATING SEGMENTS
TABLE 155.IBM: PRODUCT PORTFOLIO
TABLE 156.IBM: NET SALES,
TABLE 157.IBM: KEY STRATERGIES
TABLE 158.LEXISNEXIS RISK SOLUTIONS GROUP.: COMPANY SNAPSHOT
TABLE 159.LEXISNEXIS RISK SOLUTIONS GROUP.: OPERATING SEGMENTS
TABLE 160.LEXISNEXIS RISK SOLUTIONS GROUP.: PRODUCT PORTFOLIO
TABLE 161.LEXISNEXIS RISK SOLUTIONS GROUP.: NET SALES,
TABLE 162.LEXISNEXIS RISK SOLUTIONS GROUP.: KEY STRATERGIES
TABLE 163.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 164.SAS INSTITUTE INC.: OPERATING SEGMENTS
TABLE 165.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 166.SAS INSTITUTE INC.: NET SALES,
TABLE 167.SAS INSTITUTE INC.: KEY STRATERGIES

LIST OF FIGURES

FIGURE 1.INSURANCE FRAUD DETECTION MARKET SEGMENTATION
FIGURE 2.INSURANCE FRAUD DETECTION MARKET,2021-2031
FIGURE 3.INSURANCE FRAUD DETECTION MARKET,2021-2031
FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
FIGURE 5.PORTER FIVE-1
FIGURE 6.PORTER FIVE-2
FIGURE 7.PORTER FIVE-3
FIGURE 8.PORTER FIVE-4
FIGURE 9.PORTER FIVE-5
FIGURE 10.TOP PLAYER POSITIONING
FIGURE 11.INSURANCE FRAUD DETECTION MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 12.INSURANCE FRAUD DETECTION MARKET,BY COMPONENT,2021(%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF SOLUTION INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SERVICES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 15.INSURANCE FRAUD DETECTION MARKET,BY DEPLOYMENT MODE,2021(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF ON-PREMISES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF CLOUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 18.INSURANCE FRAUD DETECTION MARKET,BY ENTERPRISE SIZE,2021(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF LARGE ENTERPRISES INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 21.INSURANCE FRAUD DETECTION MARKET,BY APPLICATIONS,2021(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF PAYMENT FRAUD AND BILLING FRAUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF IDENTITY THEFT INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF CLAIMS FRAUD INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF MONEY LAUNDERING INSURANCE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 26.INSURANCE FRAUD DETECTION MARKET BY REGION,2021
FIGURE 27.CHINA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 28.INDIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 29.JAPAN INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 30.AUSTRALIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 31.SOUTH KOREA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 32.REST OF ASIA-PACIFIC INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 33.UNITED KINGDOM INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 34.GERMANY INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 35.FRANCE INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 36.ITALY INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 37.SPAIN INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 38.RUSSIA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 39.REST OF EUROPE INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 40.U.S. INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 41.CANADA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 42.LATIN AMERICA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 43.MIDDLE EAST INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 44.AFRICA INSURANCE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 45. TOP WINNING STRATEGIES, BY YEAR
FIGURE 46. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 47. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 48.PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 49.COMPETITIVE DASHBOARD
FIGURE 50.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
FIGURE 51.BAE SYSTEMS.: NET SALES ,($MILLION)
FIGURE 52.DUCK CREEK TECHNOLOGIES.: NET SALES ,($MILLION)
FIGURE 53.EQUIFAX INC..: NET SALES ,($MILLION)
FIGURE 54.EXPERIAN INFORMATION SOLUTIONS, INC..: NET SALES ,($MILLION)
FIGURE 55.FICO.: NET SALES ,($MILLION)
FIGURE 56.FRISS.: NET SALES ,($MILLION)
FIGURE 57.FISERV, INC..: NET SALES ,($MILLION)
FIGURE 58.IBM.: NET SALES ,($MILLION)
FIGURE 59.LEXISNEXIS RISK SOLUTIONS GROUP..: NET SALES ,($MILLION)
FIGURE 60.SAS INSTITUTE INC..: NET SALES ,($MILLION)

Product Code: A06948

Insurance fraud is an illegal act on the part of either the buyer or seller of an insurance contract. Insurance fraud from the issuer includes selling policies from non-existent companies, failing to submit premiums, and churning policies to create more commissions. Buyer fraud, meanwhile, can consist of exaggerated claims, falsified medical history, post-dated policies, viatical fraud, faked death or kidnapping, and murder.

Surge in number of insurance fraud including fake medical records, inaccurate claims, abductions, and others, has led to rise of fraud detection products and solutions in the insurance market to reduce fraudulent claim settlement activities. In addition, increasing adoption of advanced analytics and technology are some of the factors propelling the market growth. Moreover, rise in cyber security infrastructure for insurance fraud detection is a major driving factor for the growth of the market. However, many insurance companies use outdated internal systems and rely on manual process including knowledge workers or business rules for detecting the fraud on excel sheets. In addition, improper handling of data and privacy of the clients are some of the major factors limiting the insurance fraud detection market. On the contrary, advances in technology and adoption of artificial intelligence and machine learning in detection of fraud in insurance claims is expected to provide lucrative growth opportunities in the coming years.

The insurance fraud detection market is segmented on the basis of component, deployment mode, enterprise size, application, and region. By component, it is segmented into solution and services. By deployment mode, it is bifurcated into on-premises and cloud. Based on enterprise size, it is segregated into large enterprises, and small and medium-sized enterprises. By application, the market is divided into payment fraud and billing fraud, identity theft, claims fraud, and money laundering. By region, it is analyzed across Asia-Pacific, Europe, North America, and LAMEA.

The report analyzes the profiles of key players operating in the insurance fraud detection market such as BAE Systems., Duck Creek Technologies, Equifax Inc., Experian Information Solutions, Inc., FICO, FRISS, Fiserv, Inc., IBM, LexisNexis Risk Solutions Group., and SAS Institute Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the insurance fraud detection industry.

Key Benefits For Stakeholders

The study provides in-depth analysis of the global insurance fraud detection market along with the current & future trends to illustrate the imminent investment pockets.
Information about key drivers, restrains, & opportunities and their impact analysis on the global insurance fraud detection market size are provided in the report.
Porter's five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global insurance fraud detection market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Component

Solution
Services

By Deployment Mode

On-premises
Cloud

By Enterprise Size

Large Enterprises
Small and Medium-sized Enterprises (SMEs)

By Applications

Payment Fraud and Billing Fraud
Identity Theft
Claims Fraud
Money Laundering

By Region

Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
- Rest of Asia-Pacific
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Russia
- Rest of Europe
North America
- U.S.
- Canada
LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- BAE Systems
- Duck Creek Technologies
- Equifax Inc.
- Experian Information Solutions, Inc.
- FICO
- FRISS
- Fiserv, Inc.
- IBM
- LexisNexis Risk Solutions Group.
- SAS Institute Inc.

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
- 1.4.1.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings of the study
2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key findings
- 3.2.1.Top investment pockets
3.3.Porter's five forces analysis
3.4.Top player positioning
3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: INSURANCE FRAUD DETECTION MARKET, BY COMPONENT

4.1 Overview
- 4.1.1 Market size and forecast
4.2 Solution
- 4.2.1 Key market trends, growth factors and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market analysis by country
4.3 Services
- 4.3.1 Key market trends, growth factors and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market analysis by country

CHAPTER 5: INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE

5.1 Overview
- 5.1.1 Market size and forecast
5.2 On-premises
- 5.2.1 Key market trends, growth factors and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market analysis by country
5.3 Cloud
- 5.3.1 Key market trends, growth factors and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market analysis by country

CHAPTER 6: INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE

6.1 Overview
- 6.1.1 Market size and forecast
6.2 Large Enterprises
- 6.2.1 Key market trends, growth factors and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market analysis by country
6.3 Small and Medium-sized Enterprises (SMEs)
- 6.3.1 Key market trends, growth factors and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market analysis by country

CHAPTER 7: INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS

7.1 Overview
- 7.1.1 Market size and forecast
7.2 Payment Fraud and Billing Fraud
- 7.2.1 Key market trends, growth factors and opportunities
- 7.2.2 Market size and forecast, by region
- 7.2.3 Market analysis by country
7.3 Identity Theft
- 7.3.1 Key market trends, growth factors and opportunities
- 7.3.2 Market size and forecast, by region
- 7.3.3 Market analysis by country
7.4 Claims Fraud
- 7.4.1 Key market trends, growth factors and opportunities
- 7.4.2 Market size and forecast, by region
- 7.4.3 Market analysis by country
7.5 Money Laundering
- 7.5.1 Key market trends, growth factors and opportunities
- 7.5.2 Market size and forecast, by region
- 7.5.3 Market analysis by country

CHAPTER 8: INSURANCE FRAUD DETECTION MARKET, BY REGION

8.1 Overview
- 8.1.1 Market size and forecast
8.2 Asia-Pacific
- 8.2.1 Key trends and opportunities
- 8.2.2 Asia-Pacific Market size and forecast, by Component
- 8.2.3 Asia-Pacific Market size and forecast, by Deployment Mode
- 8.2.4 Asia-Pacific Market size and forecast, by Enterprise Size
- 8.2.5 Asia-Pacific Market size and forecast, by Applications
- 8.2.6 Asia-Pacific Market size and forecast, by country
  - 8.2.6.1 China
  - 8.2.6.1.1 Market size and forecast, by Component
  - 8.2.6.1.2 Market size and forecast, by Deployment Mode
  - 8.2.6.1.3 Market size and forecast, by Enterprise Size
  - 8.2.6.1.4 Market size and forecast, by Applications
  - 8.2.6.2 India
  - 8.2.6.2.1 Market size and forecast, by Component
  - 8.2.6.2.2 Market size and forecast, by Deployment Mode
  - 8.2.6.2.3 Market size and forecast, by Enterprise Size
  - 8.2.6.2.4 Market size and forecast, by Applications
  - 8.2.6.3 Japan
  - 8.2.6.3.1 Market size and forecast, by Component
  - 8.2.6.3.2 Market size and forecast, by Deployment Mode
  - 8.2.6.3.3 Market size and forecast, by Enterprise Size
  - 8.2.6.3.4 Market size and forecast, by Applications
  - 8.2.6.4 Australia
  - 8.2.6.4.1 Market size and forecast, by Component
  - 8.2.6.4.2 Market size and forecast, by Deployment Mode
  - 8.2.6.4.3 Market size and forecast, by Enterprise Size
  - 8.2.6.4.4 Market size and forecast, by Applications
  - 8.2.6.5 South Korea
  - 8.2.6.5.1 Market size and forecast, by Component
  - 8.2.6.5.2 Market size and forecast, by Deployment Mode
  - 8.2.6.5.3 Market size and forecast, by Enterprise Size
  - 8.2.6.5.4 Market size and forecast, by Applications
  - 8.2.6.6 Rest of Asia-Pacific
  - 8.2.6.6.1 Market size and forecast, by Component
  - 8.2.6.6.2 Market size and forecast, by Deployment Mode
  - 8.2.6.6.3 Market size and forecast, by Enterprise Size
  - 8.2.6.6.4 Market size and forecast, by Applications
8.3 Europe
- 8.3.1 Key trends and opportunities
- 8.3.2 Europe Market size and forecast, by Component
- 8.3.3 Europe Market size and forecast, by Deployment Mode
- 8.3.4 Europe Market size and forecast, by Enterprise Size
- 8.3.5 Europe Market size and forecast, by Applications
- 8.3.6 Europe Market size and forecast, by country
  - 8.3.6.1 United Kingdom
  - 8.3.6.1.1 Market size and forecast, by Component
  - 8.3.6.1.2 Market size and forecast, by Deployment Mode
  - 8.3.6.1.3 Market size and forecast, by Enterprise Size
  - 8.3.6.1.4 Market size and forecast, by Applications
  - 8.3.6.2 Germany
  - 8.3.6.2.1 Market size and forecast, by Component
  - 8.3.6.2.2 Market size and forecast, by Deployment Mode
  - 8.3.6.2.3 Market size and forecast, by Enterprise Size
  - 8.3.6.2.4 Market size and forecast, by Applications
  - 8.3.6.3 France
  - 8.3.6.3.1 Market size and forecast, by Component
  - 8.3.6.3.2 Market size and forecast, by Deployment Mode
  - 8.3.6.3.3 Market size and forecast, by Enterprise Size
  - 8.3.6.3.4 Market size and forecast, by Applications
  - 8.3.6.4 Italy
  - 8.3.6.4.1 Market size and forecast, by Component
  - 8.3.6.4.2 Market size and forecast, by Deployment Mode
  - 8.3.6.4.3 Market size and forecast, by Enterprise Size
  - 8.3.6.4.4 Market size and forecast, by Applications
  - 8.3.6.5 Spain
  - 8.3.6.5.1 Market size and forecast, by Component
  - 8.3.6.5.2 Market size and forecast, by Deployment Mode
  - 8.3.6.5.3 Market size and forecast, by Enterprise Size
  - 8.3.6.5.4 Market size and forecast, by Applications
  - 8.3.6.6 Russia
  - 8.3.6.6.1 Market size and forecast, by Component
  - 8.3.6.6.2 Market size and forecast, by Deployment Mode
  - 8.3.6.6.3 Market size and forecast, by Enterprise Size
  - 8.3.6.6.4 Market size and forecast, by Applications
  - 8.3.6.7 Rest of Europe
  - 8.3.6.7.1 Market size and forecast, by Component
  - 8.3.6.7.2 Market size and forecast, by Deployment Mode
  - 8.3.6.7.3 Market size and forecast, by Enterprise Size
  - 8.3.6.7.4 Market size and forecast, by Applications
8.4 North America
- 8.4.1 Key trends and opportunities
- 8.4.2 North America Market size and forecast, by Component
- 8.4.3 North America Market size and forecast, by Deployment Mode
- 8.4.4 North America Market size and forecast, by Enterprise Size
- 8.4.5 North America Market size and forecast, by Applications
- 8.4.6 North America Market size and forecast, by country
  - 8.4.6.1 U.S.
  - 8.4.6.1.1 Market size and forecast, by Component
  - 8.4.6.1.2 Market size and forecast, by Deployment Mode
  - 8.4.6.1.3 Market size and forecast, by Enterprise Size
  - 8.4.6.1.4 Market size and forecast, by Applications
  - 8.4.6.2 Canada
  - 8.4.6.2.1 Market size and forecast, by Component
  - 8.4.6.2.2 Market size and forecast, by Deployment Mode
  - 8.4.6.2.3 Market size and forecast, by Enterprise Size
  - 8.4.6.2.4 Market size and forecast, by Applications
8.5 LAMEA
- 8.5.1 Key trends and opportunities
- 8.5.2 LAMEA Market size and forecast, by Component
- 8.5.3 LAMEA Market size and forecast, by Deployment Mode
- 8.5.4 LAMEA Market size and forecast, by Enterprise Size
- 8.5.5 LAMEA Market size and forecast, by Applications
- 8.5.6 LAMEA Market size and forecast, by country
  - 8.5.6.1 Latin America
  - 8.5.6.1.1 Market size and forecast, by Component
  - 8.5.6.1.2 Market size and forecast, by Deployment Mode
  - 8.5.6.1.3 Market size and forecast, by Enterprise Size
  - 8.5.6.1.4 Market size and forecast, by Applications
  - 8.5.6.2 Middle East
  - 8.5.6.2.1 Market size and forecast, by Component
  - 8.5.6.2.2 Market size and forecast, by Deployment Mode
  - 8.5.6.2.3 Market size and forecast, by Enterprise Size
  - 8.5.6.2.4 Market size and forecast, by Applications
  - 8.5.6.3 Africa
  - 8.5.6.3.1 Market size and forecast, by Component
  - 8.5.6.3.2 Market size and forecast, by Deployment Mode
  - 8.5.6.3.3 Market size and forecast, by Enterprise Size
  - 8.5.6.3.4 Market size and forecast, by Applications

CHAPTER 9: COMPANY LANDSCAPE

9.1. Introduction
9.2. Top winning strategies
9.3. Product Mapping of Top 10 Player
9.4. Competitive Dashboard
9.5. Competitive Heatmap
9.6. Key developments

CHAPTER 10: COMPANY PROFILES

10.1 BAE Systems
- 10.1.1 Company overview
- 10.1.2 Company snapshot
- 10.1.3 Operating business segments
- 10.1.4 Product portfolio
- 10.1.5 Business performance
- 10.1.6 Key strategic moves and developments
10.2 Duck Creek Technologies
- 10.2.1 Company overview
- 10.2.2 Company snapshot
- 10.2.3 Operating business segments
- 10.2.4 Product portfolio
- 10.2.5 Business performance
- 10.2.6 Key strategic moves and developments
10.3 Equifax Inc.
- 10.3.1 Company overview
- 10.3.2 Company snapshot
- 10.3.3 Operating business segments
- 10.3.4 Product portfolio
- 10.3.5 Business performance
- 10.3.6 Key strategic moves and developments
10.4 Experian Information Solutions, Inc.
- 10.4.1 Company overview
- 10.4.2 Company snapshot
- 10.4.3 Operating business segments
- 10.4.4 Product portfolio
- 10.4.5 Business performance
- 10.4.6 Key strategic moves and developments
10.5 FICO
- 10.5.1 Company overview
- 10.5.2 Company snapshot
- 10.5.3 Operating business segments
- 10.5.4 Product portfolio
- 10.5.5 Business performance
- 10.5.6 Key strategic moves and developments
10.6 FRISS
- 10.6.1 Company overview
- 10.6.2 Company snapshot
- 10.6.3 Operating business segments
- 10.6.4 Product portfolio
- 10.6.5 Business performance
- 10.6.6 Key strategic moves and developments
10.7 Fiserv, Inc.
- 10.7.1 Company overview
- 10.7.2 Company snapshot
- 10.7.3 Operating business segments
- 10.7.4 Product portfolio
- 10.7.5 Business performance
- 10.7.6 Key strategic moves and developments
10.8 IBM
- 10.8.1 Company overview
- 10.8.2 Company snapshot
- 10.8.3 Operating business segments
- 10.8.4 Product portfolio
- 10.8.5 Business performance
- 10.8.6 Key strategic moves and developments
10.9 LexisNexis Risk Solutions Group.
- 10.9.1 Company overview
- 10.9.2 Company snapshot
- 10.9.3 Operating business segments
- 10.9.4 Product portfolio
- 10.9.5 Business performance
- 10.9.6 Key strategic moves and developments
10.10 SAS Institute Inc.
- 10.10.1 Company overview
- 10.10.2 Company snapshot
- 10.10.3 Operating business segments
- 10.10.4 Product portfolio
- 10.10.5 Business performance
- 10.10.6 Key strategic moves and developments

保険不正検知市場：コンポーネント別、導入形態別、企業規模別（大企業、中小企業）、用途別：世界の機会分析および産業予測、2021-2031年

Insurance Fraud Detection Market By Component, By Deployment Mode, By Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises ), By Applications : Global Opportunity Analysis and Industry Forecast, 2021-2031

目次

第1章イントロダクション

第2章エグゼクティブサマリー

第3章市場の概要

第4章保険不正検知市場：構成要素別

第5章保険不正検知市場：展開モデル別

第6章保険不正検知市場：企業規模別

第7章保険不正検知市場：用途別

第8章保険不正検知市場：地域別

第9章企業情勢

第10章企業プロファイル

LIST OF TABLES

LIST OF FIGURES

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

CHAPTER 2:EXECUTIVE SUMMARY

CHAPTER 3:MARKET OVERVIEW

CHAPTER 4: INSURANCE FRAUD DETECTION MARKET, BY COMPONENT

CHAPTER 5: INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE

CHAPTER 6: INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE

CHAPTER 7: INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS

CHAPTER 8: INSURANCE FRAUD DETECTION MARKET, BY REGION

CHAPTER 9: COMPANY LANDSCAPE

CHAPTER 10: COMPANY PROFILES

保険不正検知市場：コンポーネント別、導入形態別、企業規模別（大企業、中小企業）、用途別：世界の機会分析および産業予測、2021-2031年

Insurance Fraud Detection Market By Component, By Deployment Mode, By Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises ), By Applications : Global Opportunity Analysis and Industry Forecast, 2021-2031

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場の概要

第4章 保険不正検知市場：構成要素別

第5章 保険不正検知市場：展開モデル別

第6章 保険不正検知市場：企業規模別

第7章 保険不正検知市場：用途別

第8章 保険不正検知市場：地域別

第9章 企業情勢

第10章 企業プロファイル

LIST OF TABLES

LIST OF FIGURES

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

CHAPTER 2:EXECUTIVE SUMMARY

CHAPTER 3:MARKET OVERVIEW

CHAPTER 4: INSURANCE FRAUD DETECTION MARKET, BY COMPONENT

CHAPTER 5: INSURANCE FRAUD DETECTION MARKET, BY DEPLOYMENT MODE

CHAPTER 6: INSURANCE FRAUD DETECTION MARKET, BY ENTERPRISE SIZE

CHAPTER 7: INSURANCE FRAUD DETECTION MARKET, BY APPLICATIONS

CHAPTER 8: INSURANCE FRAUD DETECTION MARKET, BY REGION

CHAPTER 9: COMPANY LANDSCAPE

CHAPTER 10: COMPANY PROFILES

第1章イントロダクション

第2章エグゼクティブサマリー

第3章市場の概要

第4章保険不正検知市場：構成要素別

第5章保険不正検知市場：展開モデル別

第6章保険不正検知市場：企業規模別

第7章保険不正検知市場：用途別

第8章保険不正検知市場：地域別

第9章企業情勢

第10章企業プロファイル