オンライン決済不正検知市場：コンポーネント別、展開別、用途別、エンドユーザー別、地域別、機会、予測、2017年～2031年

世界のオンライン決済不正検知の市場規模は、予測期間の2024年～2031年のCAGRが15.02％となり、2023年の83億6,000万米ドルから2031年には255億8,000万米ドルに成長すると予測されています。

いくつかの要因により、オンライン決済の不正検知市場は猛烈なスピードで成長しています。eコマース取引やモバイル決済の急激な伸びは、効率的な不正検知システムの必要性を引き続き後押ししています。とりわけ、AI、機械学習、リアルタイム分析に関連する技術の進歩がこの革命に影響を及ぼしており、新たな技術が不正行為を防止し、その特定を確実にする高度な機能を後押ししています。サイバーセキュリティと規制遵守に対する消費者の意識の高まりにより、企業は強固な不正検知ソリューションへの投資を余儀なくされています。金融機関、テクノロジープロバイダー、規制機関が共同で取り組むことで、革新的かつ包括的なセキュリティ対策に必要な土壌が整いつつあります。

デジタルバンキング取引の増加やIoTデバイスの普及は、不正検知ソリューションの需要をさらに高めています。クラウドベースのソリューションは、ブロックチェーン技術を統合し、さらなるセキュリティ層をもたらすため、完璧な拡張性とコスト削減を実現します。サイバーセキュリティの脅威が高度化し続ける中、このような高度な不正検知対策の必要性が高まっています。簡単に言えば、市場全体のシナリオは、規制圧力、セキュリティに対する消費者の要求、サイバーインフラへの絶え間ない投資と技術的統合のシームレスな融合から生まれています。このようなダイナミックな環境は、金融取引を保護し、消費者の信頼を築くという基本的なニーズとともに、オンライン決済の不正検知市場が成長し続けることを確実なものにするとみられています。

当レポートでは、世界のオンライン決済不正検知市場について調査し、市場の概要とともに、コンポーネント別、展開別、用途別、エンドユーザー別、地域別動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界のオンライン決済不正検知市場の見通し、2017年～2031年

• 市場規模の分析と予測
• 市場シェア分析と予測
• 市場マップ分析、2023年
  • コンポーネント別
  • 展開別
  • 用途別
  • エンドユーザー別
  • 地域別

第6章 北米のオンライン決済不正検知市場の見通し、2017年～2031年

第7章 欧州のオンライン決済不正検知市場の見通し、2017年～2031年

第8章 アジア太平洋のオンライン決済不正検知市場の見通し、2017年～2031年

第9章 南米のオンライン決済不正検知市場の見通し、2017年～2031年

第10章 中東・アフリカのオンライン決済不正検知市場の見通し、2017年～2031年

第11章 需要供給分析

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

第14章 PESTLE分析

第15章 市場力学

第16章 市場の動向と発展

第17章 ケーススタディ

第18章 競合情勢

• 市場リーダートップ5の競合マトリックス
• 参入企業トップ5のSWOT分析
• 市場の主要参入企業トップ10の情勢
  • Fiserv, Inc.
  • LexisNexis Risk Solutions Inc.
  • TransUnion LLC
  • Fidelity National Information Services, Inc. (FIS Global)
  • Experian PLC
  • Nice Actimize
  • ACI Worldwide Inc.
  • SAS Institute Inc.
  • Genpact Ltd.
  • Arkose Labs, Inc.

第19章 戦略的提言

第20章 お問い合わせと免責事項

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 2. Global Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 3. Global Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 4. Global Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 5. Global Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 6. Global Online Payment Fraud Detection Market Share (%), By Region, 2017-2031F
• Figure 7. North America Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 8. North America Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 9. North America Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 10. North America Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 11. North America Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 12. North America Online Payment Fraud Detection Market Share (%), By Country, 2017-2031F
• Figure 13. United States Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 14. United States Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 15. United States Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 16. United States Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 17. United States Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 18. Canada Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 19. Canada Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 20. Canada Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 21. Canada Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 22. Canada Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 23. Mexico Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 24. Mexico Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 25. Mexico Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 26. Mexico Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 27. Mexico Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 28. Europe Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 29. Europe Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 30. Europe Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 31. Europe Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 32. Europe Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 33. Europe Online Payment Fraud Detection Market Share (%), By Country, 2017-2031F
• Figure 34. Germany Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 35. Germany Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 36. Germany Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 37. Germany Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 38. Germany Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 39. France Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 40. France Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 41. France Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 42. France Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 43. France Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 44. Italy Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 45. Italy Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 46. Italy Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 47. Italy Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 48. Italy Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 49. United Kingdom Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 50. United Kingdom Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 51. United Kingdom Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 52. United Kingdom Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 53. United Kingdom Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 54. Russia Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 55. Russia Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 56. Russia Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 57. Russia Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 58. Russia Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 59. Netherlands Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 60. Netherlands Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 61. Netherlands Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 62. Netherlands Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 63. Netherlands Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 64. Spain Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 65. Spain Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 66. Spain Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 67. Spain Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 68. Spain Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 69. Turkey Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 70. Turkey Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 71. Turkey Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 72. Turkey Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 73. Turkey Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 74. Poland Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 75. Poland Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 76. Poland Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 77. Poland Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 78. Poland Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 79. South America Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 80. South America Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 81. South America Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 82. South America Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 83. South America Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 84. South America Online Payment Fraud Detection Market Share (%), By Country, 2017-2031F
• Figure 85. Brazil Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 86. Brazil Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 87. Brazil Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 88. Brazil Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 89. Brazil Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 90. Argentina Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 91. Argentina Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 92. Argentina Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 93. Argentina Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 94. Argentina Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 95. Asia-Pacific Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 96. Asia-Pacific Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 97. Asia-Pacific Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 98. Asia-Pacific Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 99. Asia-Pacific Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 100. Asia-Pacific Online Payment Fraud Detection Market Share (%), By Country, 2017-2031F
• Figure 101. India Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 102. India Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 103. India Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 104. India Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 105. India Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 106. China Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 107. China Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 108. China Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 109. China Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 110. China Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 111. Japan Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 112. Japan Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 113. Japan Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 114. Japan Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 115. Japan Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 116. Australia Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 117. Australia Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 118. Australia Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 119. Australia Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 120. Australia Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 121. Vietnam Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 122. Vietnam Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 123. Vietnam Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 124. Vietnam Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 125. Vietnam Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 126. South Korea Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 127. South Korea Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 128. South Korea Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 129. South Korea Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 130. South Korea Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 131. Indonesia Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 132. Indonesia Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 133. Indonesia Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 134. Indonesia Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 135. Indonesia Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 136. Philippines Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 137. Philippines Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 138. Philippines Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 139. Philippines Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 140. Philippines Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 141. Middle East & Africa Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 142. Middle East & Africa Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 143. Middle East & Africa Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 144. Middle East & Africa Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 145. Middle East & Africa Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 146. Middle East & Africa Online Payment Fraud Detection Market Share (%), By Country, 2017-2031F
• Figure 147. Saudi Arabia Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 148. Saudi Arabia Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 149. Saudi Arabia Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 150. Saudi Arabia Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 151. Saudi Arabia Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 152. UAE Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 153. UAE Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 154. UAE Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 155. UAE Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 156. UAE Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 157. South Africa Online Payment Fraud Detection Market, By Value, In USD Billion, 2017-2031F
• Figure 158. South Africa Online Payment Fraud Detection Market Share (%), By Component, 2017-2031F
• Figure 159. South Africa Online Payment Fraud Detection Market Share (%), By Deployment, 2017-2031F
• Figure 160. South Africa Online Payment Fraud Detection Market Share (%), By Application, 2017-2031F
• Figure 161. South Africa Online Payment Fraud Detection Market Share (%), By End-user, 2017-2031F
• Figure 162. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 163. By Deployment Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 164. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 165. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023

Global online payment fraud detection market is projected to witness a CAGR of 15.02% during the forecast period 2024-2031, growing from USD 8.36 billion in 2023 to USD 25.58 billion in 2031.

Due to several factors, the market for online payment fraud detection is growing at a breakneck speed. The exponential growth in e-commerce transactions and mobile payments continues to drive the need for efficient fraud detection systems. Above all, technological advancements pertaining to AI, machine learning, and real-time analytics are influencing this revolution, with new techniques pushing advanced capabilities to prevent fraud and ensure their identification. Enhanced consumer awareness of cybersecurity and regulatory compliance compel businesses to invest in robust fraud detection solutions. Joint efforts between financial institutions, technology providers, and regulatory bodies have given the necessary ground for innovative and comprehensive security measures.

Rising volumes of digital banking transactions and IoT device proliferation further fuel the demand for fraud detection solutions. It integrates blockchain technology, bringing in additional layers of security, therefore, cloud-based solutions scale perfectly and reduce costs. As the sophistication of cybersecurity threats continues to rise, the need for such advanced fraud detection measures. Simply put, the overall market scenario is born out of a seamless amalgamation of technological integration with regulatory pressures, consumer demand for security, and constant investment in cyber infrastructure. This dynamic environment will ensure that the online payment fraud detection market continues to grow with the basic need to protect financial transactions and build consumer confidence.

For instance, in August 2024, Experian, the world's leading global information services company, has launched Aidrian, a new cloud-based fraud solution powered by adaptive Machine Learning, which enables businesses to prevent fraud without impacting the customer experience. Experian recognized that businesses need to lower their fraud levels without impacting conversion rates, so they created Aidrian, an innovative fraud solution focusing on revenue growth. Aidrian's ability to differentiate between legitimate customers and fraudsters can significantly reduce false positives, helping generate up to 15% more revenue for clients, as per their claims.

Rising Cyber Threats to Demand Enhanced Fraud Detection Systems

The rising cyber threats are creating an immediate need for advanced fraud-detection systems. As cybercriminals increasingly use sophisticated methods to break through security measures, the requirement for strong fraud-detection mechanisms has never been stronger. Solutions based on AI, ML, and behavioral analytics are growing in the market and help predict and prevent fraudulent activities with great efficiency.

Technological advancements have led to the evolution of fraud detection systems, taking it up a notch with better accuracy and higher efficiency with AI and ML. The number of data sets can be analyzed to make decisions in real time and flag suspicious transactions. Biometrics and behavioral analytics enhance protection against online payment fraud. Businesses have comprehensive security solutions tailored to counter the evolution of cyber threats.

For instance, in 2024, CyberArk, global leader in Identity Security based in the United States, released their Threat Landscape Report after a global survey of 2,400 security decision-makers across 18 countries, in which it was revealed that out of these, 94% experienced an identity-related breach at least once and 93% experienced two or more identity-related breaches.

Rising Online Transactions to Drive Market Growth

The growth of the online transactions market across the globe has been dramatically rapid due to ever-increasing adoption of e-commerce, mobile banking, and digital payment platforms, thereby increasing the danger of fraud in online payment significantly. With more consumers shopping digitally, the various online modes for payments, including credit cards and mobile wallets, are increasingly being used, and fraudsters exploit the weakness of such systems to steal and carry out unauthorized transactions. This increases fraudulent activities, hence, companies have the need to invest in advanced fraud detection solutions to protect customers and trust in the digital marketplace. By using some of the latest technologies, such as artificial intelligence machine learning, and behavioral analytics, companies take advantage of it. These technologies enable them to monitor some suspicious patterns in millions of transactions quickly and thereby enhance the accuracy and efficiency of fraud detection systems.

For example, as reported by the Government of India, total digital payment transactions volume increased from 20.71 billion in FY2017-FY2018 to 134.62 billion in FY2022-FY2023 at a CAGR of 45%. During the current FY2023-2024, digital payments transactions have reached 116.60 crores till 11th December 2023. This shows how digital transactions continue to rise.

Government Initiatives to Act as a Market Catalyst

Governments worldwide are imposing strict regulations to fight online fraud through payments and protect the rights of consumers. To this end, businesses must include strong fraud-detection measures to protect sensitive customer information besides loss mitigation. Failure to comply with such requirements may lead to heavy fines and damage to reputation, and hence the need for compliance that organizations should take quite seriously. Effective compliance with such regulations for online transactions is highly critical to the evolving nature of the online transaction landscape. Several measures, such as Anti-Money Laundering (AML) Directives by the European Union, PCI DSS, and Indian Computer Emergency Response Team (CERT-In), are done to maintain the order.

For instance, in October 2024, Bhutan Computer Incident Response Team (BtCIRT) launched the National Cybersecurity Strategy 2024-2029, during the National Cybersecurity Conference 2024. The Strategy aims to protect cyberspace and combat various aspects of cybersecurity risks and threats that could adversely affect people, businesses, and the government. In nine years, Bhutan Computer Incident Response Team (BtCIRT) under GovTech has handled over 1,388 cybersecurity threats and attacks, with 204 incidents in 2024.

BFSI Sector to Dominate the Online Payment Fraud Detection Market Share

BFSI sector is highly dominating in terms of volume and has commanded the highest demand for online payment fraud detection. This is due to the high vulnerability to payment frauds and the high volumes it engages in daily. Thus, the BFSI companies make significant investments in advanced fraud detection and prevention solutions that protect their operations and customer transactions from any type of fraud. Financial institutions deal with very sensitive information, such as personal identification information, account details, and other related histories. Such information calls for the greatest protection to maintain customer trust and regulatory compliance. Some of the widely applied fraud detection techniques in BFSI are machine learning algorithms, behavioral analytics, real-time monitoring, and others. BFSI must adhere to strict regulatory compliance related to money laundering and fraud prevention.

For instance, in June 2024, PCI certification, which ensures the security of card data of businesses through a set of requirements established by the PCI SSC, got an update in their certification called Payment Card Industry-Data Security Standard version v4.0 (PCI DSS 4.0). Recently, Vodafone Idea (VI), among others, attained this certification for its retail stores and payment modes. This shows how firms are using solutions for proper fraud detection.

North America to Dominate the Online Payment Fraud Detection Market Share

Several key factors account for North America being the strongest region regarding the online payment fraud detection market. In addition to massive volumes of cybercrime activities related to banking fraud, strong demand exists in the region for robust fraud prevention solutions. The presence of major solution providers such as Fiserv, Inc. and TransUnion LLC enhance the market's capacity to develop and implement effective detection systems that could be tailored according to the needs of financial institutions and businesses.

The growth of digital payment systems in North America fuels market growth. Due to stringent regulations, financial institutions must implement robust security measures to protect consumers' sensitive information and gain customers' confidence. Online transactions in North America are regarded to be very significant, and the government promotes defensive solutions against cyber threats. Hence, in the forecast years, North America is expected to capture the online payment fraud detection market by a huge margin. The region leads due to its significant investment in cybersecurity infrastructure and the development of new technologies to combat the continuous emergence of fraud.

For instance, Finserv, Inc. and LexisNexis, major players in the online payment fraud detection market, have announced North America to be the top geographical market, that is, 59% of their total global revenue in the case of LexisNexis and the best market to introduce any new product or software. For instance, Finserv's credit processing platforms, Optis and FirstVision, were initially launched in North America and successful in other regions.

Market Scenario (2024 - 2031F)

The greater use of different online modes of payment and improving cybercrime expertise to drive market growth in the forecast years.

The integration of advanced technologies, including AI, machine learning, and big data analytics, will prove vital for fraud detection. Adoption of advanced technologies such as biometric authentication, machine learning patterns, behavioral analytics, and others, will become more significant factors.

Stricter regulations and compliance requirements will drive businesses to adopt robust fraud detection measures to protect sensitive customer data and prevent financial losses.

Governments and companies will continue to invest heavily in cybersecurity for an opportunity to win online payment frauds so that transactions are safe, and consumer's rights are protected.

Key Players Landscape and Outlook

Highly technological innovation and comprehensive solutions is characterized by the competitive landscape of the online payment fraud detection market. Leaders are investing significantly in AI and machine learning, big data analytics, to strengthen their fraud detection skills. They are offering end-to-end solutions covering authentication, fraud analytics, and reporting. Besides, good customer services and concentration of focus on compliance with regulations are the keys to win the trust of customers. Also, through strategic association and keeping up an intact brand image, companies can make significant inroads into the market. Competitive pricing strategies cater to a diverse range of clients, from small businesses to large enterprises. Digitization of transactions and sophistication of fraud activities make it important for systems to improve continuously.

In June 2024, Nice Actimize conducted ENGAGE 2024, the industry's premier financial crime and compliance industry event. More than 200 companies and 500-plus Industry executives from global and regional financial institutions took part in the event's informative sessions, view cutting-edge demo stations, and learn from a renowned lineup of subject matter experts on technology and financial crime risk management with AI being the leading industry focus.

In March 2024, Arkose Labs, Inc. has been named to Fast Company's prestigious list of the World's Most Innovative Companies of 2024, ranking in the top 10 for the security category. This list shines a spotlight on businesses that are shaping industry and culture through their innovations. In the last 18 months, Arkose Labs introduced groundbreaking innovations, including Arkose Phishing Protection and Arkose Email Intelligence.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Real-time Detection and Speed
  • 4.3.4. Ease of Integration
  • 4.3.5. After-sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Online Payment Fraud Detection Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Component
    • 5.2.1.1. Solutions
    • 5.2.1.2. Service
  • 5.2.2. By Deployment
    • 5.2.2.1. On-Premises
    • 5.2.2.2. Cloud
  • 5.2.3. By Application
    • 5.2.3.1. Insurance Claims
    • 5.2.3.2. Money Laundering
    • 5.2.3.3. Electronic Payment
    • 5.2.3.4. Others
  • 5.2.4. By End-user
    • 5.2.4.1. BFSI
    • 5.2.4.2. IT and Telecom
    • 5.2.4.3. Retail and Consumer Packaged Goods
    • 5.2.4.4. Government
    • 5.2.4.5. Real Estate and Construction
    • 5.2.4.6. Others
  • 5.2.5. By Region
    • 5.2.5.1. North America
    • 5.2.5.2. Europe
    • 5.2.5.3. Asia-Pacific
    • 5.2.5.4. South America
    • 5.2.5.5. Middle East and Africa
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Component
  • 5.3.2. By Deployment
  • 5.3.3. By Application
  • 5.3.4. By End-user
  • 5.3.5. By Region

6. North America Online Payment Fraud Detection Market Outlook, 2017-2031F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Component
    • 6.2.1.1. Solutions
    • 6.2.1.2. Service
  • 6.2.2. By Deployment
    • 6.2.2.1. On-Premises
    • 6.2.2.2. Cloud
  • 6.2.3. By Application
    • 6.2.3.1. Insurance Claims
    • 6.2.3.2. Money Laundering
    • 6.2.3.3. Electronic Payment
    • 6.2.3.4. Others
  • 6.2.4. By End-user
    • 6.2.4.1. BFSI
    • 6.2.4.2. IT and Telecom
    • 6.2.4.3. Retail and Consumer Packaged Goods
    • 6.2.4.4. Government
    • 6.2.4.5. Real Estate and Construction
    • 6.2.4.6. Others
  • 6.2.5. By Country Share
    • 6.2.5.1. United States
    • 6.2.5.2. Canada
    • 6.2.5.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Online Payment Fraud Detection Market Outlook, 2017-2031F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Component
        • 6.3.1.2.1.1. Solutions
        • 6.3.1.2.1.2. Service
      • 6.3.1.2.2. By Deployment
        • 6.3.1.2.2.1. On-Premises
        • 6.3.1.2.2.2. Cloud
      • 6.3.1.2.3. By Application
        • 6.3.1.2.3.1. Insurance Claims
        • 6.3.1.2.3.2. Money Laundering
        • 6.3.1.2.3.3. Electronic Payment
        • 6.3.1.2.3.4. Others
      • 6.3.1.2.4. By End-user
        • 6.3.1.2.4.1. BFSI
        • 6.3.1.2.4.2. IT and Telecom
        • 6.3.1.2.4.3. Retail and Consumer Packaged Goods
        • 6.3.1.2.4.4. Government
        • 6.3.1.2.4.5. Real Estate and Construction
        • 6.3.1.2.4.6. Others
      • 6.3.1.2.5. Canada
      • 6.3.1.2.6. Mexico

All segments will be provided for all regions and countries covered

7. Europe Online Payment Fraud Detection Market Outlook, 2017-2031F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Online Payment Fraud Detection Market Outlook, 2017-2031F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Online Payment Fraud Detection Market Outlook, 2017-2031F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Online Payment Fraud Detection Market Outlook, 2017-2031F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Market Dynamics

• 15.1. Market Drivers
• 15.2. Market Challenges

16. Market Trends and Developments

17. Case Studies

18. Competitive Landscape

• 18.1. Competition Matrix of Top 5 Market Leaders
• 18.2. SWOT Analysis for Top 5 Players
• 18.3. Key Players Landscape for Top 10 Market Players
  • 18.3.1. Fiserv, Inc.
    • 18.3.1.1. Company Details
    • 18.3.1.2. Key Management Personnel
    • 18.3.1.3. Products and Services
    • 18.3.1.4. Financials (As Reported)
    • 18.3.1.5. Key Market Focus and Geographical Presence
    • 18.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 18.3.2. LexisNexis Risk Solutions Inc.
  • 18.3.3. TransUnion LLC
  • 18.3.4. Fidelity National Information Services, Inc. (FIS Global)
  • 18.3.5. Experian PLC
  • 18.3.6. Nice Actimize
  • 18.3.7. ACI Worldwide Inc.
  • 18.3.8. SAS Institute Inc.
  • 18.3.9. Genpact Ltd.
  • 18.3.10. Arkose Labs, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

19. Strategic Recommendations

20. About Us and Disclaimer