市場調査レポート

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ヘルスケア不正検知市場：タイプ別、コンポーネント別、アプリケーション別、エンドユーザー別：世界機会分析および産業予測、2021-2031年

Healthcare Fraud Detection Market By Type, By Component, By Application, By End User : Global Opportunity Analysis and Industry Forecast, 2021-2031

出版日: 2022年07月01日 | 発行: Allied Market Research

| ページ情報: 英文 310 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

世界のヘルスケア不正検知市場は、2021年に10億9820万米ドルとなり、2022年から2031年にかけてCAGR12.6%を記録し、2031年には36億米ドルに達すると予測されます。

不正検知の目的は、不正な手段で金銭などを入手することを阻止することです。医療やヘルスケアなど、さまざまな業界で不正検知の技術が使われています。徹底的な口座監査により、疑わしい契約者やサプライヤーを発見することができるかもしれません。請求を一つずつ丁寧に監査するのが理想的です。しかし、すべての請求を監査する現実的な方法はありません。不正検出管理は、何百万もの取引に目を通し、パターンを見つけて不正を特定するためにデータを分類、整理、区分する技術、データマイニング、独立変数と従属変数の間の接続の推定などの技術によって行われます。データマッチングは、2つのデータコレクションを比較し、重複を排除し、データ間の関連性を確立するために使用される技術です。

ヘルスケアの不正、無駄、乱用は、実際にはヘルスケア不正検知産業によって防止されています。ヘルスケア不正とは、患者や医療従事者が意図的に事実を歪曲し、違法な支払いや給付を行うことです。ヘルスケア不正の例としては、同じ患者に対して異なる医療機関が多数の請求を行うこと、医師によるデータの改ざん、提供されていないサービスに対する請求の提出、各種治療の日付、回数、期間、サービス内容の虚偽の記載などが挙げられます。医療業界では、不正に関わるさまざまな行為が増加しています。さらに、不正事例の増加、医療製品や医療機器の不正使用、医療資金の不正使用は、市場成長の原動力になると予測されます。

ヘルスケア市場における医療費不正検出の市場成長を促す主な要因は、健康保険を求める患者の増加です。その他、不正事例の増加や、ヘルスケアで提供される資金の不正使用などが、ヘルスケア不正検知市場の成長を後押ししています。医療保険の不正を手作業で発見するためには、少数の監査員が疑わしい医療保険請求を手作業で評価し、ピンポイントで特定する必要があります。

しかし、近年の機械学習やデータマイニング技術の飛躍的進歩により、より効果的で自動化された医療費不正の検出方法が開発されてきています。近年、医療データのマイニングによる不正検知への関心が高まっており、世界の医療不正検知市場を後押ししています。機械学習と人工知能の画期的な進歩により、ヘルスケア産業におけるデータセキュリティの懸念が高まり、世界のヘルスケア不正検出市場の抑制要因となっています。

ヘルスケア不正検知市場は、タイプ、コンポーネント、アプリケーション、エンドユーザー、地域に基づいてセグメント化されています。タイプ別では、市場は記述的分析、予測的分析、処方的分析に区分されます。コンポーネント別では、市場はサービスとソフトウェアに細分化されます。アプリケーション別では、保険金請求レビューと支払整合性に分けられます。

概要
- 市場規模・予測
記述的分析
- 主な市場動向、成長要因と機会
- 市場規模・予測：地域別
- 市場分析：国別分析
予測分析
- 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
プリスクリプティブ分析
- 主要な市場動向、成長要因、機会
- 市場規模・予測：地域別
- 市場分析：国別分析

第5章ヘルスケア不正検知市場：コンポーネント別

概要
- 市場規模・予測
サービス
- 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
ソフトウェア
- 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6章ヘルスケア不正検知市場：用途別

概要
- 市場規模・予測
保険金請求のレビュー
- 主な市場動向、成長要因と機会
- 市場規模・予測：地域別
- 市場分析：国別
支払いインテグリティ
- 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7章ヘルスケア不正検知市場：エンドユーザー別

概要
- 市場規模・予測
ヘルスケアペイヤー
- 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：国別分析
- ヘルスケアペイヤーの医療費不正検出市場：タイプ別
  - 公的ペイヤー市場規模・予測：地域別
  - 民間事業者市場規模・予測：地域別
政府機関
- 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
その他
- 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章ヘルスケア不正検知市場：地域別

概要
- 市場規模・予測
北米
- 主な動向と機会
- 北米市場規模・予測：タイプ別
- 北米市場規模・予測：コンポーネント別
- 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：エンドユーザー別
  - 北米の医療費支払者医療費不正検出市場：タイプ別
- 北米市場規模・予測：国別
  - 米国
  - カナダ
  - メキシコ
欧州
- 主な動向と機会
- 欧州の市場規模・予測：タイプ別
- 欧州市場規模・予測：コンポーネント別
- 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：エンドユーザー別
  - 欧州医療費支払者医療費不正検出市場：タイプ別
- 欧州市場規模・予測：国別
  - ドイツ
  - フランス
  - 英国
  - イタリア
  - スペイン
  - その他欧州
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：タイプ別
- 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：アプリケーション別
- アジア太平洋地域の市場規模・予測：エンドユーザー別
  - アジア太平洋地域の医療費支払者の医療費不正検出市場：タイプ別
- アジア太平洋地域の市場規模・予測：国別
  - 日本
  - 中国
  - オーストラリア
  - インド
  - 韓国
  - その他アジア太平洋地域
LAMEA
- 主な動向と機会
- LAMEAの市場規模・予測：タイプ別
- LAMEAの市場規模・予測：コンポーネント別
- 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：エンドユーザー別
  - LAMEAの医療費支払者医療費不正検出市場：タイプ別
- LAMEAの市場規模・予測：国別
  - ブラジル
  - サウジアラビア
  - 南アフリカ
  - LAMEAの残りの地域

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

International Business Machines Corporation（IBM）
Optum Inc.
Verscend Technologies
McKesson Corporation
FAIR ISAAC Corporation
SAS Institute Inc.
HCL Technologies
WIPRO LIMITED
Conduent
CGI Group
DXC Technology Company
UnitedHealth Group, Inc.
Exlservice Holdings Inc.
Cotiviti Inc.
LexisNexis
OSP Labs
Northrop Grumman
Northrop Grumman Corp

図表

LIST OF TABLES

TABLE 1. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 2. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR DESCRIPTIVE ANALYTICS, BY REGION, 2021-2031 ($MILLION)
TABLE 3. HEALTHCARE FRAUD DETECTION MARKET FOR DESCRIPTIVE ANALYTICS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 4. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PREDICTIVE ANALYTICS, BY REGION, 2021-2031 ($MILLION)
TABLE 5. HEALTHCARE FRAUD DETECTION MARKET FOR PREDICTIVE ANALYTICS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 6. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PRESCRIPTIVE ANALYSIS, BY REGION, 2021-2031 ($MILLION)
TABLE 7. HEALTHCARE FRAUD DETECTION MARKET FOR PRESCRIPTIVE ANALYSIS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 8. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 9. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR SERVICES, BY REGION, 2021-2031 ($MILLION)
TABLE 10. HEALTHCARE FRAUD DETECTION MARKET FOR SERVICES, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 11. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR SOFTWARE, BY REGION, 2021-2031 ($MILLION)
TABLE 12. HEALTHCARE FRAUD DETECTION MARKET FOR SOFTWARE, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 13. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 14. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR INSURANCE CLAIMS REVIEW, BY REGION, 2021-2031 ($MILLION)
TABLE 15. HEALTHCARE FRAUD DETECTION MARKET FOR INSURANCE CLAIMS REVIEW, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 16. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR PAYMENT INTEGRITY, BY REGION, 2021-2031 ($MILLION)
TABLE 17. HEALTHCARE FRAUD DETECTION MARKET FOR PAYMENT INTEGRITY, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 18. GLOBAL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 19. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR HEALTHCARE PAYER, BY REGION, 2021-2031 ($MILLION)
TABLE 20. HEALTHCARE FRAUD DETECTION MARKET FOR HEALTHCARE PAYER, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 21. GLOBAL HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 22. HEALTHCARE FRAUD DETECTION MARKET, FOR PUBLIC PAYERS, BY REGION, 2021-2031 ($MILLION)
TABLE 23. HEALTHCARE FRAUD DETECTION MARKET, FOR PRIVATE PLAYERS, BY REGION, 2021-2031 ($MILLION)
TABLE 24. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR GOVERNMENT AGENCIES, BY REGION, 2021-2031 ($MILLION)
TABLE 25. HEALTHCARE FRAUD DETECTION MARKET FOR GOVERNMENT AGENCIES, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 26. HEALTHCARE FRAUD DETECTION MARKET SIZE, FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
TABLE 27. HEALTHCARE FRAUD DETECTION MARKET FOR OTHERS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 28. HEALTHCARE FRAUD DETECTION MARKET, BY REGION, 2021-2031 ($MILLION)
TABLE 29. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 30. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 31. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 32. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 33. NORTH AMERICA HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 34. NORTH AMERICA HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 35. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 36. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 37. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 38. U.S. HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 39. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 40. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 41. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 42. CANADA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 43. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 44. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 45. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 46. MEXICO HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 47. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 48. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 49. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 50. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 51. EUROPE HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 52. EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 53. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 54. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 55. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 56. GERMANY HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 57. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 58. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 59. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 60. FRANCE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 61. UK HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 62. UK HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 63. UK HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 64. UK HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 65. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 66. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 67. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 68. ITALY HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 69. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 70. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 71. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 72. SPAIN HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 73. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 74. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 75. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 76. REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 77. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 78. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 79. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 80. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 81. ASIA-PACIFIC HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 82. ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 83. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 84. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 85. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 86. JAPAN HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 87. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 88. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 89. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 90. CHINA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 91. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 92. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 93. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 94. AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 95. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 96. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 97. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 98. INDIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 99. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 100. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 101. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 102. SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 103. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 104. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 105. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 106. REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 107. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 108. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 109. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 110. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 111. LAMEA HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 112. LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 113. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 114. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 115. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 116. BRAZIL HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 117. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 118. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 119. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 120. SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 121. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 122. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 123. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 124. SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 125. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY TYPE, 2021-2031 ($MILLION)
TABLE 126. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 127. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 128. REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET, BY END USER, 2021-2031 ($MILLION)
TABLE 129.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 130.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 131.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 132.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): NET SALES,
TABLE 133.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): KEY STRATERGIES
TABLE 134.OPTUM INC.: COMPANY SNAPSHOT
TABLE 135.OPTUM INC.: OPERATING SEGMENTS
TABLE 136.OPTUM INC.: PRODUCT PORTFOLIO
TABLE 137.OPTUM INC.: NET SALES,
TABLE 138.OPTUM INC.: KEY STRATERGIES
TABLE 139.VERSCEND TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 140.VERSCEND TECHNOLOGIES: OPERATING SEGMENTS
TABLE 141.VERSCEND TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 142.VERSCEND TECHNOLOGIES: NET SALES,
TABLE 143.VERSCEND TECHNOLOGIES: KEY STRATERGIES
TABLE 144.MCKESSON CORPORATION: COMPANY SNAPSHOT
TABLE 145.MCKESSON CORPORATION: OPERATING SEGMENTS
TABLE 146.MCKESSON CORPORATION: PRODUCT PORTFOLIO
TABLE 147.MCKESSON CORPORATION: NET SALES,
TABLE 148.MCKESSON CORPORATION: KEY STRATERGIES
TABLE 149.FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
TABLE 150.FAIR ISAAC CORPORATION: OPERATING SEGMENTS
TABLE 151.FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
TABLE 152.FAIR ISAAC CORPORATION: NET SALES,
TABLE 153.FAIR ISAAC CORPORATION: KEY STRATERGIES
TABLE 154.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 155.SAS INSTITUTE INC.: OPERATING SEGMENTS
TABLE 156.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 157.SAS INSTITUTE INC.: NET SALES,
TABLE 158.SAS INSTITUTE INC.: KEY STRATERGIES
TABLE 159.HCL TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 160.HCL TECHNOLOGIES: OPERATING SEGMENTS
TABLE 161.HCL TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 162.HCL TECHNOLOGIES: NET SALES,
TABLE 163.HCL TECHNOLOGIES: KEY STRATERGIES
TABLE 164.WIPRO LIMITED: COMPANY SNAPSHOT
TABLE 165.WIPRO LIMITED: OPERATING SEGMENTS
TABLE 166.WIPRO LIMITED: PRODUCT PORTFOLIO
TABLE 167.WIPRO LIMITED: NET SALES,
TABLE 168.WIPRO LIMITED: KEY STRATERGIES
TABLE 169.CONDUENT: COMPANY SNAPSHOT
TABLE 170.CONDUENT: OPERATING SEGMENTS
TABLE 171.CONDUENT: PRODUCT PORTFOLIO
TABLE 172.CONDUENT: NET SALES,
TABLE 173.CONDUENT: KEY STRATERGIES
TABLE 174.CGI GROUP: COMPANY SNAPSHOT
TABLE 175.CGI GROUP: OPERATING SEGMENTS
TABLE 176.CGI GROUP: PRODUCT PORTFOLIO
TABLE 177.CGI GROUP: NET SALES,
TABLE 178.CGI GROUP: KEY STRATERGIES
TABLE 179.DXC TECHNOLOGY COMPANY: COMPANY SNAPSHOT
TABLE 180.DXC TECHNOLOGY COMPANY: OPERATING SEGMENTS
TABLE 181.DXC TECHNOLOGY COMPANY: PRODUCT PORTFOLIO
TABLE 182.DXC TECHNOLOGY COMPANY: NET SALES,
TABLE 183.DXC TECHNOLOGY COMPANY: KEY STRATERGIES
TABLE 184.UNITEDHEALTH GROUP, INC.: COMPANY SNAPSHOT
TABLE 185.UNITEDHEALTH GROUP, INC.: OPERATING SEGMENTS
TABLE 186.UNITEDHEALTH GROUP, INC.: PRODUCT PORTFOLIO
TABLE 187.UNITEDHEALTH GROUP, INC.: NET SALES,
TABLE 188.UNITEDHEALTH GROUP, INC.: KEY STRATERGIES
TABLE 189.EXLSERVICE HOLDINGS INC.: COMPANY SNAPSHOT
TABLE 190.EXLSERVICE HOLDINGS INC.: OPERATING SEGMENTS
TABLE 191.EXLSERVICE HOLDINGS INC.: PRODUCT PORTFOLIO
TABLE 192.EXLSERVICE HOLDINGS INC.: NET SALES,
TABLE 193.EXLSERVICE HOLDINGS INC.: KEY STRATERGIES
TABLE 194.COTIVITI INC.: COMPANY SNAPSHOT
TABLE 195.COTIVITI INC.: OPERATING SEGMENTS
TABLE 196.COTIVITI INC.: PRODUCT PORTFOLIO
TABLE 197.COTIVITI INC.: NET SALES,
TABLE 198.COTIVITI INC.: KEY STRATERGIES
TABLE 199.LEXISNEXIS: COMPANY SNAPSHOT
TABLE 200.LEXISNEXIS: OPERATING SEGMENTS
TABLE 201.LEXISNEXIS: PRODUCT PORTFOLIO
TABLE 202.LEXISNEXIS: NET SALES,
TABLE 203.LEXISNEXIS: KEY STRATERGIES
TABLE 204.OSP LABS: COMPANY SNAPSHOT
TABLE 205.OSP LABS: OPERATING SEGMENTS
TABLE 206.OSP LABS: PRODUCT PORTFOLIO
TABLE 207.OSP LABS: NET SALES,
TABLE 208.OSP LABS: KEY STRATERGIES
TABLE 209.NORTHROP GRUMMAN: COMPANY SNAPSHOT
TABLE 210.NORTHROP GRUMMAN: OPERATING SEGMENTS
TABLE 211.NORTHROP GRUMMAN: PRODUCT PORTFOLIO
TABLE 212.NORTHROP GRUMMAN: NET SALES,
TABLE 213.NORTHROP GRUMMAN: KEY STRATERGIES
TABLE 214.NORTHROP GRUMMAN CORP: COMPANY SNAPSHOT
TABLE 215.NORTHROP GRUMMAN CORP: OPERATING SEGMENTS
TABLE 216.NORTHROP GRUMMAN CORP: PRODUCT PORTFOLIO
TABLE 217.NORTHROP GRUMMAN CORP: NET SALES,
TABLE 218.NORTHROP GRUMMAN CORP: KEY STRATERGIES

LIST OF FIGURES

FIGURE 1.HEALTHCARE FRAUD DETECTION MARKET SEGMENTATION
FIGURE 2.HEALTHCARE FRAUD DETECTION MARKET,2021-2031
FIGURE 3.HEALTHCARE 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.HEALTHCARE FRAUD DETECTION MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 12.HEALTHCARE FRAUD DETECTION MARKET,BY TYPE,2021(%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DESCRIPTIVE ANALYTICS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF PRESCRIPTIVE ANALYSIS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 16.HEALTHCARE FRAUD DETECTION MARKET,BY COMPONENT,2021(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF SERVICES HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF SOFTWARE HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 19.HEALTHCARE FRAUD DETECTION MARKET,BY APPLICATION,2021(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF INSURANCE CLAIMS REVIEW HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF PAYMENT INTEGRITY HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 22.HEALTHCARE FRAUD DETECTION MARKET,BY END USER,2021(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF HEALTHCARE PAYER HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF GOVERNMENT AGENCIES HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF OTHERS HEALTHCARE FRAUD DETECTION MARKET,2021-2031(%)
FIGURE 26.HEALTHCARE FRAUD DETECTION MARKET BY REGION,2021
FIGURE 27.U.S. HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 28.CANADA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 29.MEXICO HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 30.GERMANY HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 31.FRANCE HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 32.UK HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 33.ITALY HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 34.SPAIN HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 35.REST OF EUROPE HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 36.JAPAN HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 37.CHINA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 38.AUSTRALIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 39.INDIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 40.SOUTH KOREA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 41.REST OF ASIA-PACIFIC HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 42.BRAZIL HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 43.SAUDI ARABIA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 44.SOUTH AFRICA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 45.REST OF LAMEA HEALTHCARE FRAUD DETECTION MARKET,2021-2031($MILLION)
FIGURE 46. TOP WINNING STRATEGIES, BY YEAR
FIGURE 47. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 48. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 49.PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 50.COMPETITIVE DASHBOARD
FIGURE 51.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
FIGURE 52.INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM).: NET SALES ,($MILLION)
FIGURE 53.OPTUM INC..: NET SALES ,($MILLION)
FIGURE 54.VERSCEND TECHNOLOGIES.: NET SALES ,($MILLION)
FIGURE 55.MCKESSON CORPORATION.: NET SALES ,($MILLION)
FIGURE 56.FAIR ISAAC CORPORATION.: NET SALES ,($MILLION)
FIGURE 57.SAS INSTITUTE INC..: NET SALES ,($MILLION)
FIGURE 58.HCL TECHNOLOGIES.: NET SALES ,($MILLION)
FIGURE 59.WIPRO LIMITED.: NET SALES ,($MILLION)
FIGURE 60.CONDUENT.: NET SALES ,($MILLION)
FIGURE 61.CGI GROUP.: NET SALES ,($MILLION)
FIGURE 62.DXC TECHNOLOGY COMPANY.: NET SALES ,($MILLION)
FIGURE 63.UNITEDHEALTH GROUP, INC..: NET SALES ,($MILLION)
FIGURE 64.EXLSERVICE HOLDINGS INC..: NET SALES ,($MILLION)
FIGURE 65.COTIVITI INC..: NET SALES ,($MILLION)
FIGURE 66.LEXISNEXIS.: NET SALES ,($MILLION)
FIGURE 67.OSP LABS.: NET SALES ,($MILLION)
FIGURE 68.NORTHROP GRUMMAN.: NET SALES ,($MILLION)
FIGURE 69.NORTHROP GRUMMAN CORP.: NET SALES ,($MILLION)

Product Code: A05264

The global healthcare fraud detection Market was valued at $1,098.2 million in 2021, and is projected to reach $3,600.0 million by 2031, registering a CAGR of 12.6% from 2022 to 2031.

The goal of fraud detection is to stop someone from obtaining money or other items through deceptive means. Various industries, including medical and healthcare, use fraud detection techniques. healthcare fraud detection involves account audits and detective work. A thorough account audit might discover suspect policy holders and suppliers. It is ideal to carefully audit each and every claim one at a time. However, there are no realistic way to audit all claims. Fraud detection management is done by the techniques such as to look through millions of transactions, classify, organize, and segment data in order to locate patterns and identify fraud, data mining, estimation of the connections between independent and dependent variables. Data matching is a technique used to compare two collections of data, remove out duplicates, and establish connections between data.

Healthcare fraud, waste, and abuse are actually prevented by the healthcare fraud detection industry. Healthcare fraud is the deliberate distortion of facts by patients or healthcare personnel that results in unlawful payments or benefits. Examples of healthcare fraud include the filing of numerous claims by different providers for the same patients, the falsification of data by doctors, the submission of claims for services that have not been rendered, and the misrepresentation of dates for various treatments, frequency, duration, or service descriptions. The various activities involving fraud in medical industries has increased. Furthermore, the increased fraud cases, abuse of medical products and equipment and misuse of healthcare funds is projected to drive the market growth.

The major factor that drives the market growth of healthcare fraud detection in healthcare market is increase in number of patients seeking health insurance. The other factors such as increase in fraudulent cases, and misuse of funds offered by healthcare boost the growth of the healthcare fraud detection market. A small number of auditors must manually evaluate and pinpoint the dubious medical insurance claims to manually discover healthcare fraud.

However, more effective and automated methods of detecting healthcare frauds have been developed because to recent breakthroughs in machine learning and data mining techniques. In recent years, there has been an increase in interest in mining healthcare data for fraud detection also boosting the global healthcare fraud detection market. The breakthrough advances in machine learning and artificial intelligence, increased in data security concern in healthcare industry restraining the global healthcare fraud detection market.

The healthcare fraud detection market segmented on the basis of type, component, application, end user and region. By type, the market is segmented into descriptive analytics, predictive analytics and prescriptive analysis. By component the market is fragmented into service and software. By application the market divided into insurance claims review and payment integrity.

By end user, the market is segmented into healthcare payer, government agencies and others. The healthcare payer further segmented into public payer and private payer. The others segment includes employers, healthcare providers and third-party service providers. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Major key players that operate in the global healthcare fraud detection market are International Business Machines Corporation (IBM), Optum, Verscend Technologies, McKesson Corporation, FAIR ISAAC Corporation, SAS Institute Inc., HCL Technologies, Wipro Limited, Conduent, CGI Group, DXC Technology Company, UnitedHealth Group, Exlservice Holdings Inc., Scio inspire Corp, LexisNexis, OSP Labs, Northrop Grumman.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the healthcare fraud detectionmarket analysis from 2021 to 2031 to identify the prevailing healthcare fraud detection market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the healthcare fraud detection market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global healthcare fraud detection market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments

By Application

Insurance Claims Review
Payment Integrity

By End User

Healthcare Payer
- Type
- Public Payers
- Private players
Government Agencies
Others

By Type

Descriptive Analytics
Predictive Analytics
Prescriptive Analysis

By Component

Services
Software

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- China
- Australia
- India
- South Korea
- Rest of Asia-Pacific
- Japan
LAMEA
- Brazil
- Saudi Arabia
- South Africa
- Rest of LAMEA
Key Market Players
- International Business Machines Corporation (IBM)
- Optum Inc.
- Verscend Technologies
- McKesson Corporation
- FAIR ISAAC Corporation
- SAS Institute Inc.
- HCL Technologies
- WIPRO LIMITED
- Conduent
- CGI Group
- DXC Technology Company
- UnitedHealth Group, Inc.
- Exlservice Holdings Inc.
- Cotiviti Inc.
- LexisNexis
- OSP Labs
- Northrop Grumman
- Northrop Grumman Corp

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: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE

4.1 Overview
- 4.1.1 Market size and forecast
4.2 Descriptive Analytics
- 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 Predictive Analytics
- 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
4.4 Prescriptive Analysis
- 4.4.1 Key market trends, growth factors and opportunities
- 4.4.2 Market size and forecast, by region
- 4.4.3 Market analysis by country

CHAPTER 5: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT

5.1 Overview
- 5.1.1 Market size and forecast
5.2 Services
- 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 Software
- 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: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION

6.1 Overview
- 6.1.1 Market size and forecast
6.2 Insurance Claims Review
- 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 Payment Integrity
- 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: HEALTHCARE FRAUD DETECTION MARKET, BY END USER

7.1 Overview
- 7.1.1 Market size and forecast
7.2 Healthcare Payer
- 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
- 7.2.4 Healthcare Payer Healthcare Fraud Detection Market by Type
  - 7.2.4.1 Public Payers Market size and forecast, by region
  - 7.2.4.2 Private players Market size and forecast, by region
7.3 Government Agencies
- 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 Others
- 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

CHAPTER 8: HEALTHCARE FRAUD DETECTION MARKET, BY REGION

8.1 Overview
- 8.1.1 Market size and forecast
8.2 North America
- 8.2.1 Key trends and opportunities
- 8.2.2 North America Market size and forecast, by Type
- 8.2.3 North America Market size and forecast, by Component
- 8.2.4 North America Market size and forecast, by Application
- 8.2.5 North America Market size and forecast, by End User
  - 8.2.5.1 North America Healthcare Payer Healthcare Fraud Detection Market by Type
- 8.2.6 North America Market size and forecast, by country
  - 8.2.6.1 U.S.
  - 8.2.6.1.1 Market size and forecast, by Type
  - 8.2.6.1.2 Market size and forecast, by Component
  - 8.2.6.1.3 Market size and forecast, by Application
  - 8.2.6.1.4 Market size and forecast, by End User
  - 8.2.6.2 Canada
  - 8.2.6.2.1 Market size and forecast, by Type
  - 8.2.6.2.2 Market size and forecast, by Component
  - 8.2.6.2.3 Market size and forecast, by Application
  - 8.2.6.2.4 Market size and forecast, by End User
  - 8.2.6.3 Mexico
  - 8.2.6.3.1 Market size and forecast, by Type
  - 8.2.6.3.2 Market size and forecast, by Component
  - 8.2.6.3.3 Market size and forecast, by Application
  - 8.2.6.3.4 Market size and forecast, by End User
8.3 Europe
- 8.3.1 Key trends and opportunities
- 8.3.2 Europe Market size and forecast, by Type
- 8.3.3 Europe Market size and forecast, by Component
- 8.3.4 Europe Market size and forecast, by Application
- 8.3.5 Europe Market size and forecast, by End User
  - 8.3.5.1 Europe Healthcare Payer Healthcare Fraud Detection Market by Type
- 8.3.6 Europe Market size and forecast, by country
  - 8.3.6.1 Germany
  - 8.3.6.1.1 Market size and forecast, by Type
  - 8.3.6.1.2 Market size and forecast, by Component
  - 8.3.6.1.3 Market size and forecast, by Application
  - 8.3.6.1.4 Market size and forecast, by End User
  - 8.3.6.2 France
  - 8.3.6.2.1 Market size and forecast, by Type
  - 8.3.6.2.2 Market size and forecast, by Component
  - 8.3.6.2.3 Market size and forecast, by Application
  - 8.3.6.2.4 Market size and forecast, by End User
  - 8.3.6.3 UK
  - 8.3.6.3.1 Market size and forecast, by Type
  - 8.3.6.3.2 Market size and forecast, by Component
  - 8.3.6.3.3 Market size and forecast, by Application
  - 8.3.6.3.4 Market size and forecast, by End User
  - 8.3.6.4 Italy
  - 8.3.6.4.1 Market size and forecast, by Type
  - 8.3.6.4.2 Market size and forecast, by Component
  - 8.3.6.4.3 Market size and forecast, by Application
  - 8.3.6.4.4 Market size and forecast, by End User
  - 8.3.6.5 Spain
  - 8.3.6.5.1 Market size and forecast, by Type
  - 8.3.6.5.2 Market size and forecast, by Component
  - 8.3.6.5.3 Market size and forecast, by Application
  - 8.3.6.5.4 Market size and forecast, by End User
  - 8.3.6.6 Rest of Europe
  - 8.3.6.6.1 Market size and forecast, by Type
  - 8.3.6.6.2 Market size and forecast, by Component
  - 8.3.6.6.3 Market size and forecast, by Application
  - 8.3.6.6.4 Market size and forecast, by End User
8.4 Asia-Pacific
- 8.4.1 Key trends and opportunities
- 8.4.2 Asia-Pacific Market size and forecast, by Type
- 8.4.3 Asia-Pacific Market size and forecast, by Component
- 8.4.4 Asia-Pacific Market size and forecast, by Application
- 8.4.5 Asia-Pacific Market size and forecast, by End User
  - 8.4.5.1 Asia-Pacific Healthcare Payer Healthcare Fraud Detection Market by Type
- 8.4.6 Asia-Pacific Market size and forecast, by country
  - 8.4.6.1 Japan
  - 8.4.6.1.1 Market size and forecast, by Type
  - 8.4.6.1.2 Market size and forecast, by Component
  - 8.4.6.1.3 Market size and forecast, by Application
  - 8.4.6.1.4 Market size and forecast, by End User
  - 8.4.6.2 China
  - 8.4.6.2.1 Market size and forecast, by Type
  - 8.4.6.2.2 Market size and forecast, by Component
  - 8.4.6.2.3 Market size and forecast, by Application
  - 8.4.6.2.4 Market size and forecast, by End User
  - 8.4.6.3 Australia
  - 8.4.6.3.1 Market size and forecast, by Type
  - 8.4.6.3.2 Market size and forecast, by Component
  - 8.4.6.3.3 Market size and forecast, by Application
  - 8.4.6.3.4 Market size and forecast, by End User
  - 8.4.6.4 India
  - 8.4.6.4.1 Market size and forecast, by Type
  - 8.4.6.4.2 Market size and forecast, by Component
  - 8.4.6.4.3 Market size and forecast, by Application
  - 8.4.6.4.4 Market size and forecast, by End User
  - 8.4.6.5 South Korea
  - 8.4.6.5.1 Market size and forecast, by Type
  - 8.4.6.5.2 Market size and forecast, by Component
  - 8.4.6.5.3 Market size and forecast, by Application
  - 8.4.6.5.4 Market size and forecast, by End User
  - 8.4.6.6 Rest of Asia-Pacific
  - 8.4.6.6.1 Market size and forecast, by Type
  - 8.4.6.6.2 Market size and forecast, by Component
  - 8.4.6.6.3 Market size and forecast, by Application
  - 8.4.6.6.4 Market size and forecast, by End User
8.5 LAMEA
- 8.5.1 Key trends and opportunities
- 8.5.2 LAMEA Market size and forecast, by Type
- 8.5.3 LAMEA Market size and forecast, by Component
- 8.5.4 LAMEA Market size and forecast, by Application
- 8.5.5 LAMEA Market size and forecast, by End User
  - 8.5.5.1 LAMEA Healthcare Payer Healthcare Fraud Detection Market by Type
- 8.5.6 LAMEA Market size and forecast, by country
  - 8.5.6.1 Brazil
  - 8.5.6.1.1 Market size and forecast, by Type
  - 8.5.6.1.2 Market size and forecast, by Component
  - 8.5.6.1.3 Market size and forecast, by Application
  - 8.5.6.1.4 Market size and forecast, by End User
  - 8.5.6.2 Saudi Arabia
  - 8.5.6.2.1 Market size and forecast, by Type
  - 8.5.6.2.2 Market size and forecast, by Component
  - 8.5.6.2.3 Market size and forecast, by Application
  - 8.5.6.2.4 Market size and forecast, by End User
  - 8.5.6.3 South Africa
  - 8.5.6.3.1 Market size and forecast, by Type
  - 8.5.6.3.2 Market size and forecast, by Component
  - 8.5.6.3.3 Market size and forecast, by Application
  - 8.5.6.3.4 Market size and forecast, by End User
  - 8.5.6.4 Rest of LAMEA
  - 8.5.6.4.1 Market size and forecast, by Type
  - 8.5.6.4.2 Market size and forecast, by Component
  - 8.5.6.4.3 Market size and forecast, by Application
  - 8.5.6.4.4 Market size and forecast, by End User

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 International Business Machines Corporation (IBM)
- 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 Optum Inc.
- 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 Verscend Technologies
- 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 McKesson Corporation
- 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 FAIR ISAAC Corporation
- 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 SAS Institute Inc.
- 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 HCL Technologies
- 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 WIPRO LIMITED
- 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 Conduent
- 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 CGI Group
- 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
10.11 DXC Technology Company
- 10.11.1 Company overview
- 10.11.2 Company snapshot
- 10.11.3 Operating business segments
- 10.11.4 Product portfolio
- 10.11.5 Business performance
- 10.11.6 Key strategic moves and developments
10.12 UnitedHealth Group, Inc.
- 10.12.1 Company overview
- 10.12.2 Company snapshot
- 10.12.3 Operating business segments
- 10.12.4 Product portfolio
- 10.12.5 Business performance
- 10.12.6 Key strategic moves and developments
10.13 Exlservice Holdings Inc.
- 10.13.1 Company overview
- 10.13.2 Company snapshot
- 10.13.3 Operating business segments
- 10.13.4 Product portfolio
- 10.13.5 Business performance
- 10.13.6 Key strategic moves and developments
10.14 Cotiviti Inc.
- 10.14.1 Company overview
- 10.14.2 Company snapshot
- 10.14.3 Operating business segments
- 10.14.4 Product portfolio
- 10.14.5 Business performance
- 10.14.6 Key strategic moves and developments
10.15 LexisNexis
- 10.15.1 Company overview
- 10.15.2 Company snapshot
- 10.15.3 Operating business segments
- 10.15.4 Product portfolio
- 10.15.5 Business performance
- 10.15.6 Key strategic moves and developments
10.16 OSP Labs
- 10.16.1 Company overview
- 10.16.2 Company snapshot
- 10.16.3 Operating business segments
- 10.16.4 Product portfolio
- 10.16.5 Business performance
- 10.16.6 Key strategic moves and developments
10.17 Northrop Grumman
- 10.17.1 Company overview
- 10.17.2 Company snapshot
- 10.17.3 Operating business segments
- 10.17.4 Product portfolio
- 10.17.5 Business performance
- 10.17.6 Key strategic moves and developments
10.18 Northrop Grumman Corp
- 10.18.1 Company overview
- 10.18.2 Company snapshot
- 10.18.3 Operating business segments
- 10.18.4 Product portfolio
- 10.18.5 Business performance
- 10.18.6 Key strategic moves and developments

ヘルスケア不正検知市場：タイプ別、コンポーネント別、アプリケーション別、エンドユーザー別：世界機会分析および産業予測、2021-2031年

Healthcare Fraud Detection Market By Type, By Component, By Application, By End User : 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章ヘルスケア不正検知市場：タイプ別

第5章ヘルスケア不正検知市場：コンポーネント別

第6章ヘルスケア不正検知市場：用途別

第7章ヘルスケア不正検知市場：エンドユーザー別

第8章ヘルスケア不正検知市場：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: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE

CHAPTER 5: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT

CHAPTER 6: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION

CHAPTER 7: HEALTHCARE FRAUD DETECTION MARKET, BY END USER

CHAPTER 8: HEALTHCARE FRAUD DETECTION MARKET, BY REGION

CHAPTER 9: COMPANY LANDSCAPE

CHAPTER 10: COMPANY PROFILES

ヘルスケア不正検知市場：タイプ別、コンポーネント別、アプリケーション別、エンドユーザー別：世界機会分析および産業予測、2021-2031年

Healthcare Fraud Detection Market By Type, By Component, By Application, By End User : 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 ヘルスケア不正検知市場：タイプ別

第5章 ヘルスケア不正検知市場： コンポーネント別

第6章 ヘルスケア不正検知市場：用途別

第7章 ヘルスケア不正検知市場： エンドユーザー別

第8章 ヘルスケア不正検知市場：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: HEALTHCARE FRAUD DETECTION MARKET, BY TYPE

CHAPTER 5: HEALTHCARE FRAUD DETECTION MARKET, BY COMPONENT

CHAPTER 6: HEALTHCARE FRAUD DETECTION MARKET, BY APPLICATION

CHAPTER 7: HEALTHCARE FRAUD DETECTION MARKET, BY END USER

CHAPTER 8: HEALTHCARE 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章ヘルスケア不正検知市場：タイプ別

第5章ヘルスケア不正検知市場：コンポーネント別

第6章ヘルスケア不正検知市場：用途別

第7章ヘルスケア不正検知市場：エンドユーザー別

第8章ヘルスケア不正検知市場：地域別

第9章企業情勢

第10章企業プロファイル