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1563754

全球詐欺偵測和預防市場評估：依服務、詐欺類型、最終用戶、地區和機會（2017-2031）

Fraud Detection and Prevention Market Assessment, By Service, By Fraud Type, By End-user, By Region, Opportunities, and Forecast, 2017-2031F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 230 Pages | 商品交期: 3-5個工作天內

價格

由於網路攻擊複雜性不斷增加以及網路詐欺增加等因素，全球詐欺偵測和預防市場規模預計將從2023年的310億美元增至2031年的1335.2億美元。成長率為20.03%。

詐欺預防和偵測是全面詐欺防制策略的一個組成部分。兩者在詐欺風險管理中發揮不同的作用。詐欺預防試圖在詐欺發生之前預防欺詐，並強調主動措施和管理、身份驗證技術、審批流程和詐欺培訓。他們通常是積極主動的，需要大量的初始投資來部署預防性技術和系統。詐欺檢測包括識別和減輕發生的詐欺行為。這依賴於監控交易並分析與正常行為的偏差。這就是為什麼使用資料分析和異常檢測演算法等技術來發現可疑模式。詐欺偵測是被動的，因為它會在詐欺事件發生後做出回應，並且還可能產生與調查和補救相關的額外成本。

這些策略平衡了主動措施與反應性分析，以創建最強大的反詐欺機制，並做好防範和應對詐欺的準備。此外，世界各國都引進了嚴格的監管框架來解決詐欺偵測和預防問題。例如，歐洲各國政府推出了《一般資料保護規範》（GDPR），美國推出了《加州消費者隱私法案》（CCPA），以確保高標準的資料保護。這些監管框架推動詐欺偵測和預防市場的需求和成長。

此外，印度等發展中國家正加緊為詐欺偵測和預防市場帶來創新。例如，2024年 8月，印度政府宣布推出人工智慧詐欺檢測系統，作為印度政府加強金融服務業安全的更廣泛努力的一部分。此舉是為了因應金融服務的快速數位化和網路銀行的普及。

本報告研究和分析了全球詐欺偵測和預防市場，提供市場規模和預測、市場動態以及主要參與者的狀況。

目錄

第1章 專案範圍與定義

第2章 研究方法

第3章 執行摘要

第4章 顧客回饋

  • 產品與市場訊息
  • 品牌識別方法
  • 購買決策時考慮的因素
    • 功能和其他加值服務
    • IT 基礎架構相容性
    • 解決方案效率
    • 售後支持
  • 隱私和監管考慮

第5章 全球詐欺偵測與預防市場展望（2017-2031年）

  • 市場規模分析與預測
    • 金額
  • 市佔率分析與預測
    • 依服務
    • 依詐欺類型
    • 依最終用戶
    • 依地區
    • 市佔率分析：依公司劃分（金額）（前5名公司及其他 -2023年）
  • 市場地圖分析（2023年）
    • 依服務
    • 依詐欺類型
    • 依最終用戶
    • 依地區

第6章 北美詐欺偵測與預防市場展望（2017-2031年）

  • 市場規模分析與預測
    • 金額
  • 市佔率分析與預測
    • 依服務
    • 依詐欺類型
    • 依最終用戶
    • 佔有率：依國家/地區
  • 每個國家市場的評估
    • 美國詐欺偵測與預防市場前景（2017-2031年）
    • 加拿大
    • 墨西哥

第7章 歐洲詐欺偵測與預防市場前景（2017-2031年）

  • 德國
  • 法國
  • 義大利
  • 英國
  • 俄羅斯
  • 荷蘭
  • 西班牙
  • 土耳其
  • 波蘭

第8章 亞太地區詐欺偵測與預防市場展望（2017-2031年）

  • 印度
  • 中國
  • 日本
  • 澳洲
  • 越南
  • 韓國
  • 印尼
  • 菲律賓

第9章 南美洲詐欺偵測與預防市場前景（2017-2031年）

  • 巴西
  • 阿根廷

第10章 中東與非洲詐欺偵測與預防市場前景（2017-2031年）

  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第11章 波特五力分析

第12章 PESTLE分析

第13章 價格分析

第14章 市場動態

  • 市場驅動因素
  • 市場挑戰

第15章 市場趨勢與發展

第16章 案例研究

第17章 競爭態勢

  • 前5名市場領導者的競爭矩陣
  • 前5名的公司的SWOT 分析
  • 前10名主要企業狀況
    • IBM Corporation
    • Oracle Corporation
    • SAS Institute Inc.
    • Fair Isaac Corporation
    • NICE Limited
    • Experian Information Solutions, Inc.
    • ACI Worldwide, Inc.
    • Microsoft Corporation
    • Amazon Web Services, Inc.
    • F5, Inc.

第18章 戰略建議

第19章 關於本公司，免責聲明

Product Code: MX11996

Global fraud detection and prevention market is projected to witness a CAGR of 20.03% during the forecast period 2024-2031, growing from USD 31.00 billion in 2023 to USD 133.52 billion in 2031, due to the factors such as growing complexity of cyberattacks and the rise in online fraud.

Fraud prevention and detection are an integral part of a comprehensive anti-fraud strategy. These two serve different roles in fraud risk management. Fraud prevention attempts to avoid incidents of fraud beforehand, and it emphasizes developing proactive measures and controls, authenticating techniques, authorization processes, and awareness of fraud training. It is normally proactive and involves higher initial investments as it deploys preventive technologies and systems. Fraud detection deals with the determination and mitigation of fraud that has occurred. It depends on transaction monitoring and analysis for deviation from normal behavior. Hence, it uses techniques such as data analytics and anomaly detection algorithms to find suspicious patterns. Fraud detection is reactive as it responds after the incident of fraud that has occurred, sometimes with incremental costs related to investigation and remediation.

These strategies create the most robust mechanism against fraud by balancing proactive measures with reactive analysis, preparing to protect against and respond to fraudulent activities. Further, various countries across the globe are incorporating strict regulatory frameworks to address fraud detection and prevention. For instance, the European government has introduced the General Data Protection Regulation (GDPR), whereas the United States of America brought the California Consumer Privacy Act (CCPA) to ensure a high standard of data protection. These regulatory frameworks are fueling the fraud detection and prevention of market demand and growth.

Moreover, developing countries, such as India, are putting efforts to bring innovation within the fraud detection and prevention market. For instance, in August 2024, the launch of an AI fraud detection system was part of the Indian government's broader initiative to enhance the security of financial services sector. This move is in response to the rapid digitization of financial services and increased adoption of online banking.

AI And Machine Learning (ML) Technology is Revolutionizing the Market Demand

The emerging AI and ML technologies are marking a complete revolution in the fraud detection and prevention market, owing to their advanced capabilities in offering much-improved speed and accuracy. AI and ML systems analyze enormous volumes of data at incredible speeds, thus enabling them to identify complex patterns and anomalies that might be troublesome to detect with traditional methods. These technologies make use of predictive analytics to predict and prevent possible fraud in advance. For example, machine learning algorithms analyze historical data to identify subtle behavior patterns indicative of fraud and continually refine their detection mechanisms as fraudsters discover new ways to do their work.

AI-driven systems tackle fraud prevention by using a suite of advanced authentication techniques, such as biometric verification and adaptive security measures, to defeat fraudulent attempts before they can be executed. In this respect, the systems achieve continuous learning for refining strategies so that they remain ahead of threats that become ever more sophisticated. AI and ML amplify fraud detection through real-time monitoring and analysis. For that, machine learning models are capable of detecting abnormal patterns or deviations from predefined rules, hence flagging suspicious cases against fraud more effectively than their static rule-based counterparts. This capability offers much quicker response times and far more accuracy in identifying suspicious activities while reducing false positives for improved security.

Therefore, organizations are achieving dynamic and proactive fraud management by combining AI with ML to significantly improve their potential to detect or prevent fraud with high accuracy and speed, which is driving the fraud detection and prevention market. Currently, as per Judgement Media Ltd, which is a prominent online marketing education company, 77% of devices being used have some form of AI and is projected to contribute USD 15.7 trillion to the global economy by 2030.

Growth in Organizational Complexity and Unstructured Data is Proliferating Market Demand

The fraud detection and prevention market has been growing at an exponential rate, majorly driven by increased complexity in organizational structures and an exponential proliferation of unstructured data. Companies, while expanding their businesses to geographic extents, go through an increased challenge in managing and securing diversified data across emails, social media interactions, transaction records, and others. It, in turn, requires advanced fraud detection capabilities that are equipped to handle unstructured data in large volumes.

Most organizations are seeking tech-savvy technologies that can be seamlessly integrated into their existing systems and provide real-time intelligence at the pace of ever-escalating methods. Thus showing a novel increase in demand for fraud detection and prevention solutions.

Rising E-Commerce and Online Payment Trends is Driving the Market Growth

Significant growth in the fraud detection and prevention market is being driven by the surging volumes of e-commerce and online payment transactions. For instance, as per Hostinger, in 2023, approximately 2.64 billion consumers were doing online shopping. With the global population estimated at about 8 billion as of January 2024, this data suggests that over 33% of individuals worldwide are engaged in e-commerce, reflecting a 5% growth compared to 2022.

The growing shift of consumers towards digital platforms for shopping and performing financial transactions is increasing the volume of online transactions immensely, thereby creating fertile ground for fraudulent activities to flourish. It, in turn, promotes increased e-commerce and online payments with advanced fraud detection systems capable of protecting sensitive financial information from malicious activities.

As these transactions continue to go online, fraudsters manipulate this opportunity with more sophisticated means of taking advantage of those digital vulnerabilities in current payment systems. Businesses and financial institutions, therefore, are investing in advanced fraud detection technologies to monitor evolving threats.

Moreover, it is becoming important for companies to adopt intense fraud prevention measures due to regulatory imperatives and consumer expectations of securing online transactions. With the projected further growth in e-commerce and online payment platforms, the demand for enhanced fraud detection and prevention solutions is foreseen, consequently driving innovation and investment in the fraud detection and prevention market.

High Volumes of False Positives Restraining the Market Growth

High volumes of false positives in fraud detection and prevention systems are significantly hindering the fraud detection and prevention market by creating customer experience issues, increasing operational costs, and causing revenue loss. For instance, according to a report by Nuspire, LLC, 70% of IT security leaders have noted that the number of security alerts received daily has more than doubled in the past five years. Additionally, around 90% of security teams feel overwhelmed by false-positive alerts, which do not represent genuine security threats, necessitating investigation.

Frequent false alerts upset customers, potentially leading to transaction abandonment and reduced trust in the service provider. This increases operational expenses due to the need for additional customer support and diverts resources away from addressing real fraud threats. Moreover, high false positive rates impact a company's reputation and lead to regulatory scrutiny, making potential customers cautious about adopting such solutions.

Asia-Pacific to Hold Significant Share of the Market

The rising number of data breaches and cyber security in Asia-Pacific is highlighting the urgent need for advanced fraud detection and prevention solutions and services. Governments across the world are implementing regulatory frameworks to control fraud detection and prevention in the region. For instance, in the most recent edition of BioCatch Ltd., a company that deals with the enterprise of real-time fraud detection and prevention, highlighted mobile malware as the top threat facing banks in Southeast Asia going into 2024 in its Digital Banking Fraud Trends in Asia-Pacific.

Future Market Scenario (2024 - 2031F)

Advancements in artificial intelligence and machine learning are expected to drive the fraud detection and prevention market in the forecast period. These advancements are anticipated to improve accuracy and fraud detection systems through complex algorithms and analytics, reducing false positives and enhancing real-time identification.

Multi-factor authentication (MFA) is anticipated to be more prevalent in the forecast years, owing to the advanced standard security measures.

More emphasis on real-time fraud detection is expected in the forecast period, wherein, organizations will be investing more in technologies that can offer immediate analytics and responses about suspicious activities.

The fraud detection and prevention market may face challenges due to high cost. As advanced fraud detection systems using artificial intelligence and machine learning are highly expensive to develop, implement, and maintain. Therefore, small and medium enterprises may face financial burden.

Key Players Landscape and Outlook

Key players are making huge investments in new products and services to increase their market presence. For instance, in March 2024, Visa Inc., introduced AI powered risk and fraud prevention tools. Similarly, in June 2024, Oscilar Inc., launched an AI powered ACH fraud detection product, utilizing machine learning algorithms, generative AI, and real-time data analysis to avoid fraudulent transactions.

Furthermore, firms are integrating multiple fraud detection solutions into their platforms to offer a more advanced solution. Additionally, many companies are strategically forging partnerships and pursuing acquisitions to expand their presence and share. For instance, in August 2024, Rippleshot and CPI Card Group announced a strategic alliance to integrate Rippleshot's advanced fraud prevention services into CPI's offerings. This collaboration aimed to improve fraud management, reduce associated costs, and boost customer retention and satisfaction.

Also, in March 2024, Fidelity Information Services, a global player in financial technology sector, announced that its SecurLOCK card fraud management solution is aimed to significantly improve the accuracy of identifying and preventing fraudulent card transactions through a new collaboration with Stratyfy, a graduate of the FIS Fintech Accelerator program.

In May 2024, Swiggy Pvt. Ltd., the online food delivery platform, announced its partnership with SHIELD AI Technologies Pte. Ltd., a device-first risk AI platform, to strengthen its fraud prevention and detection capabilities. This strategic collaboration is designed to tackle promotional abuse and counter fraudulent activities in Swiggy's Delivery Partner network.

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. Efficiency of Solutions
    • 4.3.4. After-Sales Support
  • 4.4. Consideration of Privacy and Regulations

5. Global Fraud Detection and Prevention 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 Service
      • 5.2.1.1. Professional Service
      • 5.2.1.2. Managed Services
    • 5.2.2. By Fraud Type
      • 5.2.2.1. Identity Fraud
      • 5.2.2.2. Investment Fraud
      • 5.2.2.3. Payment Fraud
      • 5.2.2.4. Others
    • 5.2.3. By End-user
      • 5.2.3.1. Banking, Finance Services and Insurance
      • 5.2.3.2. Retail
      • 5.2.3.3. IT and Telecom
      • 5.2.3.4. Healthcare
      • 5.2.3.5. Others
    • 5.2.4. By Region
      • 5.2.4.1. North America
      • 5.2.4.2. Europe
      • 5.2.4.3. Asia-Pacific
      • 5.2.4.4. South America
      • 5.2.4.5. Middle East and Africa
    • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
  • 5.3. Market Map Analysis, 2023
    • 5.3.1. By Service
    • 5.3.2. By Fraud Type
    • 5.3.3. By End-user
    • 5.3.4. By Region

6. North America Fraud Detection and Prevention 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 Service
      • 6.2.1.1. Professional Service
      • 6.2.1.2. Managed Services
    • 6.2.2. By Fraud Type
      • 6.2.2.1. Identity Fraud
      • 6.2.2.2. Investment Fraud
      • 6.2.2.3. Payment Fraud
      • 6.2.2.4. Others
    • 6.2.3. By End-user
      • 6.2.3.1. Banking, Finance Services and Insurance
      • 6.2.3.2. Retail
      • 6.2.3.3. IT and Telecom
      • 6.2.3.4. Healthcare
      • 6.2.3.5. Others
    • 6.2.4. By Country Share
      • 6.2.4.1. United States
      • 6.2.4.2. Canada
      • 6.2.4.3. Mexico
  • 6.3. Country Market Assessment
    • 6.3.1. United States Fraud Detection and Prevention 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 Service
          • 6.3.1.2.1.1. Professional Service
          • 6.3.1.2.1.2. Managed Services
        • 6.3.1.2.2. By Fraud Type
          • 6.3.1.2.2.1. Identity Fraud
          • 6.3.1.2.2.2. Investment Fraud
          • 6.3.1.2.2.3. Payment Fraud
          • 6.3.1.2.2.4. Others
        • 6.3.1.2.3. By End-user
          • 6.3.1.2.3.1. Banking, Finance Services and Insurance
          • 6.3.1.2.3.2. Retail
          • 6.3.1.2.3.3. IT and Telecom
          • 6.3.1.2.3.4. Healthcare
          • 6.3.1.2.3.5. Others
    • 6.3.2. Canada
    • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Fraud Detection and Prevention 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 Fraud Detection and Prevention 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 Fraud Detection and Prevention Market Outlook, 2017-2031F

  • 9.1. Brazil
  • 9.2. Argentina

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

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

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Pricing Analysis

14. Market Dynamics

  • 14.1. Market Drivers
  • 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

  • 17.1. Competition Matrix of Top 5 Market Leaders
  • 17.2. SWOT Analysis for Top 5 Players
  • 17.3. Key Players Landscape for Top 10 Market Players
    • 17.3.1. IBM Corporation
      • 17.3.1.1. Company Details
      • 17.3.1.2. Key Management Personnel
      • 17.3.1.3. Products and Services
      • 17.3.1.4. Financials (As Reported)
      • 17.3.1.5. Key Market Focus and Geographical Presence
      • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 17.3.2. Oracle Corporation
    • 17.3.3. SAS Institute Inc.
    • 17.3.4. Fair Isaac Corporation
    • 17.3.5. NICE Limited
    • 17.3.6. Experian Information Solutions, Inc.
    • 17.3.7. ACI Worldwide, Inc.
    • 17.3.8. Microsoft Corporation
    • 17.3.9. Amazon Web Services, Inc.
    • 17.3.10. F5, Inc.

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

18. Strategic Recommendations

19. About Us and Disclaimer

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