オンライン決済不正検知市場- 世界の産業規模、シェア、動向、機会、予測、ソリューション別、モード別、地域別、競合別セグメント、2019年～2029年

オンライン決済不正検知の世界市場規模は2023年に88億1,000万米ドルとなり、2029年までの予測期間のCAGRは15.43%で堅調な成長が予測されています。

世界のオンライン決済不正検知市場は、脅威の激化とオンライン取引量の増加により、力強い成長を遂げています。eコマース、モバイル決済、デジタル取引の普及に伴い、効果的な不正検知メカニズムの必要性が最も高まっています。不正分析、生体認証、リアルタイム・モニタリングの革新が市場を再構築しています。北米は、技術的専門知識と強固な金融エコシステムを活用して市場をリードしています。市場はサイバー脅威の高度化にダイナミックに対応し、継続的な進歩を後押ししています。世界の規制要件の厳格化も、不正防止ソリューションの採用に拍車をかけています。不正分析、カード決済、モバイル決済といった主要分野が圧倒的なシェアを占めており、それぞれがオンライン取引の安全確保における独自の課題に取り組んでいます。デジタルトランスフォーメーションが世界的に加速する中、セキュリティ対策の強化、規制遵守の徹底、急速に進化するデジタル決済の信頼維持が急務となっていることから、市場情勢は持続的な成長を遂げようとしています。

市場促進要因

eコマース取引の増加：

サイバー脅威の高度化：

世界のデジタル変革への取り組み

厳しい規制要件

バイオメトリクス認証の採用拡大

主な市場課題

サイバー犯罪者の手口の高度化：

精度とユーザーエクスペリエンスのバランス

世界な規制対応

急速に進化する決済エコシステム

ユーザー教育と意識向上

主な市場動向

高度な機械学習とAIアルゴリズムの台頭：

行動分析への重点の高まり：

バイオメトリクス認証の統合

業界連携による取り組みと脅威インテリジェンスの共有：

リアルタイム不正防止への注力：

目次

第1章 ソリューションの概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

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展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別（不正分析、認証、レポート、可視化）
  • モード別（電子決済、モバイル決済、カード決済）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2023）
• 市場マップ

第6章 北米のオンライン決済不正検知市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別
  • モード別
  • 国別

第7章 欧州のオンライン決済不正検知市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別
  • モード別
  • 国別

第8章 南米のオンライン決済不正検知市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別
  • モード別
  • 国別

第9章 中東・アフリカのオンライン決済不正検知市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別
  • モード別
  • 国別

第10章 アジア太平洋のオンライン決済不正検知市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別
  • モード別
  • 国別

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

第13章 企業プロファイル

• Kount, Inc.
• Pindrop Security
• Whitepages Inc.
• Visa Inc.
• ClearSale LLC
• Imperva Inc.
• Accertify Inc.
• PayPal Holdings, Inc.
• Sift Science, Inc.
• F5, Inc.

第14章 戦略的提言

第15章 調査会社について・免責事項

The Global Online Payment Fraud Detection Market was valued at USD 8.81 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 15.43% through 2029. The Global Online Payment Fraud Detection Market is witnessing robust growth driven by the escalating threat landscape and the increasing volume of online transactions. With the proliferation of e-commerce, mobile payments, and digital transactions, the need for effective fraud detection mechanisms has become paramount. Innovations in fraud analytics, biometric authentication, and real-time monitoring are reshaping the market. North America leads, leveraging technological expertise and a robust financial ecosystem. The market responds dynamically to the sophistication of cyber threats, pushing for continual advancements. Stricter regulatory requirements worldwide also fuel the adoption of fraud prevention solutions. Key segments such as Fraud Analytics, Card Payment, and Mobile Payment dominate, each addressing unique challenges in securing online transactions. As digital transformation accelerates globally, the Online Payment Fraud Detection Market is poised for sustained growth, driven by the imperative to fortify security measures, ensure regulatory compliance, and maintain trust in the rapidly evolving landscape of digital payments.

Key Market Drivers

Rising E-Commerce Transactions:

A primary driver in the global Online Payment Fraud Detection market is the exponential growth of e-commerce transactions. As consumers increasingly turn to online platforms for shopping, banking, and various services, the volume and value of digital transactions have surged. The sheer scale and complexity of e-commerce operations create an attractive landscape for fraudsters, prompting businesses to invest in robust fraud detection systems. The demand for advanced solutions that can swiftly identify and prevent fraudulent activities during online payments is intensifying, making the need for effective fraud detection more critical than ever.

The driver is further accentuated by the global shift in consumer behavior, with the convenience of online shopping becoming a norm. As e-commerce continues to thrive, the Online Payment Fraud Detection market is poised for sustained growth, driven by the imperative to secure digital transactions and instill confidence in users.

Increasing Sophistication of Cyber Threats:

The relentless evolution and increasing sophistication of cyber threats represent a significant driver for the Online Payment Fraud Detection market. Cybercriminals employ advanced tactics, including phishing, account takeover attacks, and malware, to exploit vulnerabilities in online payment systems. To counter these threats, businesses are compelled to adopt cutting-edge fraud detection solutions that leverage artificial intelligence, machine learning, and behavioral analytics.

The dynamic nature of cyber threats necessitates continuous innovation in fraud detection technologies. As threat vectors become more complex and elusive, the demand for advanced, adaptive solutions that can detect anomalies and patterns indicative of fraudulent activities is on the rise. This driver underscores the industry's need to stay ahead of cybercriminals, making ongoing research and development imperative for market players.

Global Digital Transformation Initiatives:

The ongoing global digital transformation across industries is a powerful driver for the Online Payment Fraud Detection market. As businesses digitize their operations and transition to digital channels, the attack surface for fraudsters expands. The increasing prevalence of mobile banking, digital wallets, and contactless payments opens new avenues for transactions, but it also presents new challenges in terms of security.

To secure the digital economy, organizations are investing in advanced fraud detection solutions that can seamlessly integrate with digital platforms. This driver is fueled by the imperative to align security measures with the pace of digital transformation, ensuring that online payment systems remain resilient against emerging threats.

Stringent Regulatory Requirements:

Stringent regulatory requirements governing online payments and data protection are driving the adoption of robust fraud detection solutions. Governments and regulatory bodies worldwide are imposing strict standards to protect consumer data and ensure the security of online transactions. Regulations such as the Payment Services Directive 2 (PSD2) in Europe and the Payment Card Industry Data Security Standard (PCI DSS) globally compel businesses to implement strong authentication and fraud prevention measures.

The need to comply with these regulations not only ensures legal adherence but also underscores the responsibility of businesses to safeguard user information. This regulatory landscape acts as a catalyst for the Online Payment Fraud Detection market, prompting organizations to invest in solutions that not only meet compliance requirements but also elevate the overall security posture of online payment systems.

Growing Adoption of Biometric Authentication:

The growing adoption of biometric authentication methods is a significant driver shaping the Online Payment Fraud Detection market. Biometrics, including fingerprint recognition, facial recognition, and voice authentication, offer a secure and user-friendly means of verifying user identities during online transactions. As consumers prioritize secure and convenient payment methods, businesses are integrating biometric authentication into their fraud detection systems to enhance accuracy and reduce reliance on traditional authentication measures.

Biometric authentication adds an extra layer of security by uniquely identifying individuals based on their physiological or behavioral characteristics. This driver is propelled by the industry's recognition that biometrics not only fortify the security of online payments but also contribute to a seamless user experience, aligning with the demand for frictionless yet secure transaction processes.

Key Market Challenges

Sophistication of Cybercriminal Tactics:

A prominent challenge in the global Online Payment Fraud Detection market is the increasing sophistication of cybercriminal tactics. Fraudsters continually evolve their methods, leveraging advanced technologies, and adopting intricate strategies to bypass traditional fraud detection measures. From the use of AI-generated synthetic identities to sophisticated phishing attacks, detecting and preventing fraud in the online payment space requires constant innovation in fraud detection systems. The challenge lies in staying ahead of cybercriminals who are adept at exploiting vulnerabilities, necessitating continuous research and development to fortify defenses against emerging threats.

Balancing Accuracy and User Experience:

Striking the right balance between accuracy in fraud detection and a seamless user experience poses a significant challenge in the global market. While robust fraud prevention measures are essential, overly stringent security protocols can lead to false positives, inconveniencing legitimate users. Excessive friction in the authentication process can result in abandoned transactions and user dissatisfaction. Therefore, the challenge lies in implementing sophisticated fraud detection mechanisms that accurately identify fraudulent activities without causing unnecessary disruptions for genuine users, ensuring a smooth and efficient online payment experience.

Global Regulatory Compliance:

The Online Payment Fraud Detection market faces the challenge of navigating complex and evolving global regulatory landscapes. Compliance with diverse international regulations, such as GDPR in Europe and data protection laws in various jurisdictions, adds layers of complexity to the deployment of fraud detection systems. Stricter regulations demand careful handling of sensitive user data while ensuring the efficacy of fraud prevention measures. Adapting to the nuances of regional compliance requirements without compromising the efficiency of fraud detection systems is a challenge that requires ongoing diligence and coordination with regulatory bodies worldwide.

Rapidly Evolving Payment Ecosystems:

The rapid evolution of online payment ecosystems, including the introduction of new payment methods, mobile wallets, and digital currencies, poses a significant challenge for fraud detection mechanisms. As payment technologies diversify, fraudsters exploit vulnerabilities in emerging channels. Traditional fraud prevention systems may struggle to adapt to these dynamic ecosystems, necessitating continuous updates and integration with evolving payment methods. Ensuring that fraud detection solutions remain versatile and compatible with the latest payment technologies is a persistent challenge in an environment characterized by rapid innovation.

User Education and Awareness:

A critical challenge in the Online Payment Fraud Detection market is the need for user education and awareness. Many instances of online fraud result from user negligence, such as weak password practices, falling victim to phishing attempts, or unknowingly sharing sensitive information. Despite robust fraud detection systems, user behaviors remain a significant factor in the prevention of online payment fraud. Addressing this challenge requires concerted efforts from industry stakeholders to educate users about best practices in online security, recognizing potential threats, and employing secure behaviors during online transactions. Overcoming this challenge involves fostering a culture of cybersecurity.

Key Market Trends

Rise of Advanced Machine Learning and AI Algorithms:

The global Online Payment Fraud Detection market is witnessing a significant trend towards the integration of advanced machine learning (ML) and artificial intelligence (AI) algorithms. As online payment systems become more sophisticated, fraudsters also evolve their tactics. ML and AI technologies empower fraud detection systems to analyze vast datasets in real-time, identifying patterns, anomalies, and subtle indicators of fraudulent activity. These adaptive algorithms continuously learn from new data, improving accuracy and agility in detecting emerging fraud patterns. The industry is embracing these technologies to stay ahead of evolving fraud techniques, providing a proactive defense against online payment fraud.

Increased Emphasis on Behavioral Analytics:

Another prominent trend in the Online Payment Fraud Detection market is the increased emphasis on behavioral analytics. Traditional methods rely on static data points, such as credit card details, IP addresses, and transaction amounts. However, behavioral analytics leverages dynamic data, analyzing user behavior patterns and digital interactions. By establishing a baseline of normal behavior for each user, the system can swiftly detect deviations that may indicate fraudulent activity. This trend aligns with the industry's recognition that understanding user behavior is crucial for identifying anomalies and potential fraud, enhancing the overall accuracy and effectiveness of fraud detection mechanisms.

Integration of Biometric Authentication:

The integration of biometric authentication methods is reshaping the landscape of online payment fraud detection. Biometrics, such as fingerprint recognition, facial recognition, and voice authentication, add an extra layer of security by uniquely identifying individuals based on their physiological or behavioral characteristics. This trend addresses concerns related to stolen credentials and password-based vulnerabilities. Biometric authentication not only enhances the security of online transactions but also provides a seamless and user-friendly experience, reducing friction in the payment process. As consumers prioritize secure and convenient payment methods, the adoption of biometric authentication is gaining traction across the Online Payment Fraud Detection market.

Collaborative Industry Efforts and Threat Intelligence Sharing:

Collaborative industry efforts and threat intelligence sharing have emerged as a crucial trend in combating online payment fraud. Recognizing the interconnected nature of cyber threats, industry stakeholders are increasingly pooling resources, sharing threat intelligence, and collaborating on best practices. This collective approach enhances the ability to detect and prevent fraud by leveraging a broader and more diverse dataset. Initiatives like information sharing platforms, industry forums, and partnerships between financial institutions and cybersecurity firms contribute to a more robust defense against fraudsters who often target multiple organizations simultaneously.

Focus on Real-Time Fraud Prevention:

Real-time fraud prevention is a key trend in the Online Payment Fraud Detection market, driven by the need for instant responses to evolving threats. Traditional batch processing methods are being replaced by real-time analytics and monitoring solutions that can assess transactions and user activities in milliseconds. The shift towards real-time detection is essential for preventing fraudulent transactions before they are completed, minimizing financial losses, and preserving the integrity of online payment systems. This trend aligns with the industry's goal of not only identifying fraud but also preventing unauthorized transactions in the rapidly changing and highly dynamic online environment.

Segmental Insights

Solution Insights

Fraud Analytics segment dominates in the global online payment fraud detection market in 2023. The dominance of Fraud Analytics is underscored by its ability to continuously evolve and adapt to emerging fraud techniques. By leveraging advanced analytics, machine learning, and artificial intelligence, Fraud Analytics solutions excel in identifying both known and unknown patterns of fraudulent behavior. This adaptability is crucial in the face of ever-evolving cyber threats, positioning Fraud Analytics as a dynamic and resilient solution to counter the sophistication of modern fraudsters.

Fraud Analytics segment offers a holistic view of user behavior, transactional patterns, and contextual information. This comprehensive approach allows organizations to assess the risk associated with each transaction or user interaction, enabling more accurate and timely detection of fraudulent activities. The ability to analyze a diverse range of factors, from device fingerprints and IP addresses to transaction history and user behavior, enhances the precision and efficacy of fraud detection.

Fraud Analytics solutions play a pivotal role in minimizing false positives, a common challenge in online payment fraud detection. By applying advanced analytics and machine learning models, these solutions can distinguish between legitimate and fraudulent transactions with a high degree of accuracy, reducing the likelihood of inconveniencing genuine users.

Fraud Analytics segment addresses the need for real-time detection and response, aligning with the fast-paced nature of online transactions. The ability to analyze data in real-time ensures that potential fraud is identified swiftly, allowing organizations to take immediate action to prevent unauthorized transactions and mitigate financial losses.

The dominance of Fraud Analytics is also evident in its contribution to business intelligence and risk management. Beyond fraud detection, these solutions provide valuable insights into emerging fraud trends, enabling organizations to proactively adjust their security measures and stay ahead of evolving threats. The integration of Fraud Analytics into risk management strategies reinforces its status as a cornerstone solution for safeguarding online payment ecosystems.

Regional Insights

North America dominates the global online payment fraud detection market in 2023 North America, particularly the United States, serves as a global hub for technological innovation. The region is home to a multitude of tech giants, innovative startups, and leading cybersecurity firms that specialize in developing advanced solutions for online payment fraud detection. The concentration of talent, research institutions, and industry expertise fosters an environment conducive to continuous innovation, enabling North American companies to stay at the forefront of developing cutting-edge fraud detection technologies.

The financial industry's dominance in North America plays a pivotal role in the region's leadership in the Online Payment Fraud Detection market. The presence of major financial institutions, banks, and payment service providers in the region creates a high demand for robust fraud detection solutions. These entities prioritize security to protect both their assets and the interests of their customers, driving investments in advanced fraud prevention technologies. The substantial financial infrastructure in North America fuels the development and adoption of state-of-the-art fraud detection systems.

North America experiences a high incidence of cyber threats and online fraud, necessitating a proactive approach to cybersecurity. As the region is a prime target for cybercriminals seeking to exploit online payment systems, businesses and financial institutions prioritize the implementation of sophisticated fraud detection measures. This heightened awareness of the persistent threat landscape motivates organizations in North America to invest significantly in advanced technologies that can swiftly detect and mitigate evolving forms of online payment fraud.

North America has established a stringent regulatory environment to govern online payments and data security. Regulations such as the Payment Card Industry Data Security Standard (PCI DSS) set strict standards for businesses handling payment data, compelling them to implement robust fraud prevention measures. The regulatory landscape acts as a driving force for organizations to adopt advanced fraud detection solutions to not only meet compliance requirements but also enhance overall cybersecurity posture.

Key Market Players

Kount, Inc.

Pindrop Security

Whitepages Inc.

Visa Inc.

ClearSale LLC

Imperva, Inc.

Accertify Inc.

PayPal Holdings, Inc.

Sift Science, Inc.

F5, Inc.

Report Scope:

In this report, the Global Online Payment Fraud Detection Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Online Payment Fraud Detection Market, By Solution:

Fraud Analytics Authentication Reporting & Visualization

Online Payment Fraud Detection Market, By Mode:

E-payment Mobile payment Card payment

Online Payment Fraud Detection Market, By Region:

North America

United States

Canada

Mexico

Europe

Germany

France

United Kingdom

Italy

Spain

South America

Brazil

Argentina

Colombia

Asia-Pacific

China

India

Japan

South Korea

Australia

Middle East & Africa

Saudi Arabia

UAE

South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Online Payment Fraud Detection Market.

Available Customizations:

Global Online Payment Fraud Detection Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Baseline Methodology
• 2.2. Key Industry Partners
• 2.3. Major Association and Secondary Sources
• 2.4. Forecasting Methodology
• 2.5. Data Triangulation & Validation
• 2.6. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Online Payment Fraud Detection Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solution (Fraud Analytics, Authentication, Reporting & Visualization)
  • 5.2.2. By Mode (E-payment, Mobile payment, Card payment)
  • 5.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2023)
• 5.4. Market Map

6. North America Online Payment Fraud Detection Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solution
  • 6.2.2. By Mode
  • 6.2.3. By Country
    • 6.2.3.1. United States Online Payment Fraud Detection Market Outlook
      • 6.2.3.1.1. Market Size & Forecast
      • 6.2.3.1.1.1. By Value
      • 6.2.3.1.2. Market Share & Forecast
      • 6.2.3.1.2.1. By Solution
      • 6.2.3.1.2.2. By Mode
    • 6.2.3.2. Canada Online Payment Fraud Detection Market Outlook
      • 6.2.3.2.1. Market Size & Forecast
      • 6.2.3.2.1.1. By Value
      • 6.2.3.2.2. Market Share & Forecast
      • 6.2.3.2.2.1. By Solution
      • 6.2.3.2.2.2. By Mode
    • 6.2.3.3. Mexico Online Payment Fraud Detection Market Outlook
      • 6.2.3.3.1. Market Size & Forecast
      • 6.2.3.3.1.1. By Value
      • 6.2.3.3.2. Market Share & Forecast
      • 6.2.3.3.2.1. By Solution
      • 6.2.3.3.2.2. By Mode

7. Europe Online Payment Fraud Detection Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solution
  • 7.2.2. By Mode
  • 7.2.3. By Country
    • 7.2.3.1. Germany Online Payment Fraud Detection Market Outlook
      • 7.2.3.1.1. Market Size & Forecast
      • 7.2.3.1.1.1. By Value
      • 7.2.3.1.2. Market Share & Forecast
      • 7.2.3.1.2.1. By Solution
      • 7.2.3.1.2.2. By Mode
    • 7.2.3.2. France Online Payment Fraud Detection Market Outlook
      • 7.2.3.2.1. Market Size & Forecast
      • 7.2.3.2.1.1. By Value
      • 7.2.3.2.2. Market Share & Forecast
      • 7.2.3.2.2.1. By Solution
      • 7.2.3.2.2.2. By Mode
    • 7.2.3.3. United Kingdom Online Payment Fraud Detection Market Outlook
      • 7.2.3.3.1. Market Size & Forecast
      • 7.2.3.3.1.1. By Value
      • 7.2.3.3.2. Market Share & Forecast
      • 7.2.3.3.2.1. By Solution
      • 7.2.3.3.2.2. By Mode
    • 7.2.3.4. Italy Online Payment Fraud Detection Market Outlook
      • 7.2.3.4.1. Market Size & Forecast
      • 7.2.3.4.1.1. By Value
      • 7.2.3.4.2. Market Share & Forecast
      • 7.2.3.4.2.1. By Solution
      • 7.2.3.4.2.2. By Mode
    • 7.2.3.5. Spain Online Payment Fraud Detection Market Outlook
      • 7.2.3.5.1. Market Size & Forecast
      • 7.2.3.5.1.1. By Value
      • 7.2.3.5.2. Market Share & Forecast
      • 7.2.3.5.2.1. By Solution
      • 7.2.3.5.2.2. By Mode

8. South America Online Payment Fraud Detection Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solution
  • 8.2.2. By Mode
  • 8.2.3. By Country
    • 8.2.3.1. Brazil Online Payment Fraud Detection Market Outlook
      • 8.2.3.1.1. Market Size & Forecast
      • 8.2.3.1.1.1. By Value
      • 8.2.3.1.2. Market Share & Forecast
      • 8.2.3.1.2.1. By Solution
      • 8.2.3.1.2.2. By Mode
    • 8.2.3.2. Colombia Online Payment Fraud Detection Market Outlook
      • 8.2.3.2.1. Market Size & Forecast
      • 8.2.3.2.1.1. By Value
      • 8.2.3.2.2. Market Share & Forecast
      • 8.2.3.2.2.1. By Solution
      • 8.2.3.2.2.2. By Mode
    • 8.2.3.3. Argentina Online Payment Fraud Detection Market Outlook
      • 8.2.3.3.1. Market Size & Forecast
      • 8.2.3.3.1.1. By Value
      • 8.2.3.3.2. Market Share & Forecast
      • 8.2.3.3.2.1. By Solution
      • 8.2.3.3.2.2. By Mode

9. By Mode Middle East & Africa Online Payment Fraud Detection Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solution
  • 9.2.2. By Mode
  • 9.2.3. By Country
    • 9.2.3.1. Saudi Arabia Online Payment Fraud Detection Market Outlook
      • 9.2.3.1.1. Market Size & Forecast
      • 9.2.3.1.1.1. By Value
      • 9.2.3.1.2. Market Share & Forecast
      • 9.2.3.1.2.1. By Solution
      • 9.2.3.1.2.2. By Mode
    • 9.2.3.2. UAE Online Payment Fraud Detection Market Outlook
      • 9.2.3.2.1. Market Size & Forecast
      • 9.2.3.2.1.1. By Value
      • 9.2.3.2.2. Market Share & Forecast
      • 9.2.3.2.2.1. By Solution
      • 9.2.3.2.2.2. By Mode
    • 9.2.3.3. South Africa Online Payment Fraud Detection Market Outlook
      • 9.2.3.3.1. Market Size & Forecast
      • 9.2.3.3.1.1. By Value
      • 9.2.3.3.2. Market Share & Forecast
      • 9.2.3.3.2.1. By Solution
      • 9.2.3.3.2.2. By Mode

10. Asia Pacific Online Payment Fraud Detection Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solution
  • 10.2.2. By Mode
  • 10.2.3. By Country
    • 10.2.3.1. China Online Payment Fraud Detection Market Outlook
      • 10.2.3.1.1. Market Size & Forecast
      • 10.2.3.1.1.1. By Value
      • 10.2.3.1.2. Market Share & Forecast
      • 10.2.3.1.2.1. By Solution
      • 10.2.3.1.2.2. By Mode
    • 10.2.3.2. India Online Payment Fraud Detection Market Outlook
      • 10.2.3.2.1. Market Size & Forecast
      • 10.2.3.2.1.1. By Value
      • 10.2.3.2.2. Market Share & Forecast
      • 10.2.3.2.2.1. By Solution
      • 10.2.3.2.2.2. By Mode
    • 10.2.3.3. Japan Online Payment Fraud Detection Market Outlook
      • 10.2.3.3.1. Market Size & Forecast
      • 10.2.3.3.1.1. By Value
      • 10.2.3.3.2. Market Share & Forecast
      • 10.2.3.3.2.1. By Solution
      • 10.2.3.3.2.2. By Mode
    • 10.2.3.4. South Korea Online Payment Fraud Detection Market Outlook
      • 10.2.3.4.1. Market Size & Forecast
      • 10.2.3.4.1.1. By Value
      • 10.2.3.4.2. Market Share & Forecast
      • 10.2.3.4.2.1. By Solution
      • 10.2.3.4.2.2. By Mode
    • 10.2.3.5. Australia Online Payment Fraud Detection Market Outlook
      • 10.2.3.5.1. Market Size & Forecast
      • 10.2.3.5.1.1. By Value
      • 10.2.3.5.2. Market Share & Forecast
      • 10.2.3.5.2.1. By Solution
      • 10.2.3.5.2.2. By Mode

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

13. Company Profiles

• 13.1. Kount, Inc.
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Pindrop Security
  • 13.2.1. Business Overview
  • 13.2.2. Key Revenue and Financials
  • 13.2.3. Recent Developments
  • 13.2.4. Key Personnel
  • 13.2.5. Key Product/Services Offered
• 13.3. Whitepages Inc.
  • 13.3.1. Business Overview
  • 13.3.2. Key Revenue and Financials
  • 13.3.3. Recent Developments
  • 13.3.4. Key Personnel
  • 13.3.5. Key Product/Services Offered
• 13.4. Visa Inc.
  • 13.4.1. Business Overview
  • 13.4.2. Key Revenue and Financials
  • 13.4.3. Recent Developments
  • 13.4.4. Key Personnel
  • 13.4.5. Key Product/Services Offered
• 13.5. ClearSale LLC
  • 13.5.1. Business Overview
  • 13.5.2. Key Revenue and Financials
  • 13.5.3. Recent Developments
  • 13.5.4. Key Personnel
  • 13.5.5. Key Product/Services Offered
• 13.6. Imperva Inc.
  • 13.6.1. Business Overview
  • 13.6.2. Key Revenue and Financials
  • 13.6.3. Recent Developments
  • 13.6.4. Key Personnel
  • 13.6.5. Key Product/Services Offered
• 13.7. Accertify Inc.
  • 13.7.1. Business Overview
  • 13.7.2. Key Revenue and Financials
  • 13.7.3. Recent Developments
  • 13.7.4. Key Personnel
  • 13.7.5. Key Product/Services Offered
• 13.8. PayPal Holdings, Inc.
  • 13.8.1. Business Overview
  • 13.8.2. Key Revenue and Financials
  • 13.8.3. Recent Developments
  • 13.8.4. Key Personnel
  • 13.8.5. Key Product/Services Offered
• 13.9. Sift Science, Inc.
  • 13.9.1. Business Overview
  • 13.9.2. Key Revenue and Financials
  • 13.9.3. Recent Developments
  • 13.9.4. Key Personnel
  • 13.9.5. Key Product/Services Offered
• 13.10.F5, Inc.
  • 13.10.1. Business Overview
  • 13.10.2. Key Revenue and Financials
  • 13.10.3. Recent Developments
  • 13.10.4. Key Personnel
  • 13.10.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer