Fraud Management in Banking Market By Component (Solution, Service), By Fraud Type (Payment Fraud, Loan Fraud, Identity Theft, Money Laundering, Others), By Application (Fraud Detection and Prevention Systems, Identity and Access Management (IAM), Custome

Fraud Management in Banking Market By Component (Solution, Service), By Fraud Type (Payment Fraud, Loan Fraud, Identity Theft, Money Laundering, Others), By Application (Fraud Detection and Prevention Systems, Identity and Access Management (IAM), Customer Authentication, Transaction Monitoring, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032


Fraud management in banking refers to the processes, strategies, and technologies implemented by financial institutions to detect, prevent, and mitigate fraudulent activities and unauthorized transactions. Moreover, fraud management in banking helps to implement measures to deter fraud before it occurs, such as robust customer authentication, access controls, and fraud prevention policies. This includes educating customers about security best practices. Furthermore, fraudsters often keep changing their intrusion methods by using a combination of new and conventional methods to escape any detection traps. They also make sure to avoid repeating the processes of intrusion. Hence, advanced fraud management solutions should be capable of monitoring the data in real-time and analysing the historical data to identify the pattern of attacks. DataVisor’s Unsupervised Machine Learning (UML) Engine is one of the solution that can potentially identify the correlated group of malicious users sharing similar attributes. The traditional approach of fraud management typically includes rule-based and supervised machine learning that constantly updates the model and is found to be less effective in detecting various sophisticated fraudulent attacks. Hence, updated fraud management solutions based on the latest technologies are being aggressively adopted to arrest financial and reputational losses for individuals and enterprises. Although business intelligence (BI) tools have been used conventionally to summarize the large volumes of data churned every quarter in any business, these conventional analytics methods cannot provide in-depth insights on a granular level to predict possible outcomes. Hence, advanced analytics tools, such as predictive analytics, data mining, big data analytics, and machine learning, are increasingly adopted by financial institutions to examine large volumes of data and extract patterns showcasing various trends across various industries on regional and global levels. These tools are based on a mathematical approach to interpreting data and machine learning techniques, such as deep learning, to identify patterns, form correlations, and group the data sets. Arranging the historical data in an identifiable pattern allows enterprises to counter foreseeable threats by triggering required actions leveraging fraud management solutions.

The rise in the adoption of online banking applications & mobile banking services and the increase in incidences of financial fraud boost the growth of global fraud management in the banking market. In addition, the increase in the use of digital transformation technology positively impacts growth of the fraud management in the banking market. However, the rise in incidents of false positive rates and growing fraud complexity hamper fraud management in banking market growth. On the contrary, the rise in innovations in the fintech industry is expected to offer remunerative opportunities for the expansion of fraud management in the banking market during the forecast period.

The fraud management in the banking market is segmented on the basis of component, fraud type, application, and region. On the basis of component, the market is bifurcated into solution and service. On the basis of fraud type, the market is categorized into payment fraud, loan fraud, identity theft, money laundering, and others. By application, it is classified into fraud detection & prevention systems, identity & access management (IAM), customer authentication, transaction monitoring, and others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players that operate in the fraud management in banking market are IBM Corporation, SAS Institute Inc, SAP SE, NICE Actimize, ACI Worldwide Inc, Experian PLC, BAE Systems, FIS global, LexisNexis Risk Solutions, and BioCatch Ltd. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

Key Benefits for Stakeholders

The study provides an in-depth analysis of the global fraud management in banking market forecast along with the current and future trends to explain the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on global fraud management in banking market trend is provided in the report.
The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2023 to 2032 is provided to determine the market potential.

Key Market Segments

By Component

Solution
Service

By Fraud Type

Payment Fraud
Loan Fraud
Identity Theft
Money Laundering
Others

By Application

Fraud Detection and Prevention Systems
Identity and Access Management (IAM)
Customer Authentication
Transaction Monitoring
Others

By Region

North America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa

Key Market Players

SAS Institute Inc
SAP SE
ACI Worldwide Inc
BAE Systems
FIS Global
NICE Actimize
Experian PLC
BioCatch Ltd.
IBM Corporation
LexisNexis Risk Solutions

Please Note: It will take 7-10 business days to complete the report upon order confirmation. 


CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Low bargaining power of suppliers
3.3.2. Low threat of new entrants
3.3.3. Low threat of substitutes
3.3.4. Low intensity of rivalry
3.3.5. Low bargaining power of buyers
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Growing adoption of online banking applications and mobile banking services
3.4.1.2. Increase in incidences of financial fraud
3.4.1.3. Increase in use of digital transformation technology
3.4.2. Restraints
3.4.2.1. Growing incidents of false positive rates
3.4.2.2. Rise in fraud complexity
3.4.3. Opportunities
3.4.3.1. Rise in Innovations in the Fintech Industry
CHAPTER 4: FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Service
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE
5.1. Overview
5.1.1. Market size and forecast
5.2. Payment Fraud
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Loan Fraud
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
5.4. Identity Theft
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market share analysis by country
5.5. Money Laundering
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market share analysis by country
5.6. Others
5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market share analysis by country
CHAPTER 6: FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION
6.1. Overview
6.1.1. Market size and forecast
6.2. Fraud Detection and Prevention Systems
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Identity and Access Management (IAM)
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. Customer Authentication
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
6.5. Transaction Monitoring
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market share analysis by country
6.6. Others
6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market share analysis by country
CHAPTER 7: FRAUD MANAGEMENT IN BANKING MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast By Region
7.2. North America
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by Component
7.2.3. Market size and forecast, by Fraud Type
7.2.4. Market size and forecast, by Application
7.2.5. Market size and forecast, by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast, by Component
7.2.5.1.2. Market size and forecast, by Fraud Type
7.2.5.1.3. Market size and forecast, by Application
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast, by Component
7.2.5.2.2. Market size and forecast, by Fraud Type
7.2.5.2.3. Market size and forecast, by Application
7.3. Europe
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by Component
7.3.3. Market size and forecast, by Fraud Type
7.3.4. Market size and forecast, by Application
7.3.5. Market size and forecast, by country
7.3.5.1. UK
7.3.5.1.1. Market size and forecast, by Component
7.3.5.1.2. Market size and forecast, by Fraud Type
7.3.5.1.3. Market size and forecast, by Application
7.3.5.2. Germany
7.3.5.2.1. Market size and forecast, by Component
7.3.5.2.2. Market size and forecast, by Fraud Type
7.3.5.2.3. Market size and forecast, by Application
7.3.5.3. France
7.3.5.3.1. Market size and forecast, by Component
7.3.5.3.2. Market size and forecast, by Fraud Type
7.3.5.3.3. Market size and forecast, by Application
7.3.5.4. Italy
7.3.5.4.1. Market size and forecast, by Component
7.3.5.4.2. Market size and forecast, by Fraud Type
7.3.5.4.3. Market size and forecast, by Application
7.3.5.5. Spain
7.3.5.5.1. Market size and forecast, by Component
7.3.5.5.2. Market size and forecast, by Fraud Type
7.3.5.5.3. Market size and forecast, by Application
7.3.5.6. Rest of Europe
7.3.5.6.1. Market size and forecast, by Component
7.3.5.6.2. Market size and forecast, by Fraud Type
7.3.5.6.3. Market size and forecast, by Application
7.4. Asia-Pacific
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by Component
7.4.3. Market size and forecast, by Fraud Type
7.4.4. Market size and forecast, by Application
7.4.5. Market size and forecast, by country
7.4.5.1. China
7.4.5.1.1. Market size and forecast, by Component
7.4.5.1.2. Market size and forecast, by Fraud Type
7.4.5.1.3. Market size and forecast, by Application
7.4.5.2. Japan
7.4.5.2.1. Market size and forecast, by Component
7.4.5.2.2. Market size and forecast, by Fraud Type
7.4.5.2.3. Market size and forecast, by Application
7.4.5.3. India
7.4.5.3.1. Market size and forecast, by Component
7.4.5.3.2. Market size and forecast, by Fraud Type
7.4.5.3.3. Market size and forecast, by Application
7.4.5.4. South Korea
7.4.5.4.1. Market size and forecast, by Component
7.4.5.4.2. Market size and forecast, by Fraud Type
7.4.5.4.3. Market size and forecast, by Application
7.4.5.5. Australia
7.4.5.5.1. Market size and forecast, by Component
7.4.5.5.2. Market size and forecast, by Fraud Type
7.4.5.5.3. Market size and forecast, by Application
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Market size and forecast, by Component
7.4.5.6.2. Market size and forecast, by Fraud Type
7.4.5.6.3. Market size and forecast, by Application
7.5. LAMEA
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by Component
7.5.3. Market size and forecast, by Fraud Type
7.5.4. Market size and forecast, by Application
7.5.5. Market size and forecast, by country
7.5.5.1. Latin America
7.5.5.1.1. Market size and forecast, by Component
7.5.5.1.2. Market size and forecast, by Fraud Type
7.5.5.1.3. Market size and forecast, by Application
7.5.5.2. Middle East
7.5.5.2.1. Market size and forecast, by Component
7.5.5.2.2. Market size and forecast, by Fraud Type
7.5.5.2.3. Market size and forecast, by Application
7.5.5.3. Africa
7.5.5.3.1. Market size and forecast, by Component
7.5.5.3.2. Market size and forecast, by Fraud Type
7.5.5.3.3. Market size and forecast, by Application
CHAPTER 8: COMPETITIVE LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product mapping of top 10 player
8.4. Competitive dashboard
8.5. Competitive heatmap
8.6. Top player positioning, 2022
CHAPTER 9: COMPANY PROFILES
9.1. IBM Corporation
9.1.1. Company overview
9.1.2. Key executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. Business performance
9.1.7. Key strategic moves and developments
9.2. SAS Institute Inc
9.2.1. Company overview
9.2.2. Key executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.2.6. Key strategic moves and developments
9.3. SAP SE
9.3.1. Company overview
9.3.2. Key executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Business performance
9.3.7. Key strategic moves and developments
9.4. NICE Actimize
9.4.1. Company overview
9.4.2. Key executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. Business performance
9.4.7. Key strategic moves and developments
9.5. ACI Worldwide Inc
9.5.1. Company overview
9.5.2. Key executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Key strategic moves and developments
9.6. Experian PLC
9.6.1. Company overview
9.6.2. Key executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Key strategic moves and developments
9.7. BAE Systems
9.7.1. Company overview
9.7.2. Key executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.7.6. Business performance
9.8. FIS Global
9.8.1. Company overview
9.8.2. Key executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. Key strategic moves and developments
9.9. LexisNexis Risk Solutions
9.9.1. Company overview
9.9.2. Key executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Business performance
9.10. BioCatch Ltd.
9.10.1. Company overview
9.10.2. Key executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
LIST OF TABLES
TABLE 01. GLOBAL FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 02. FRAUD MANAGEMENT IN BANKING MARKET FOR SOLUTION, BY REGION, 2022-2032 ($MILLION)
TABLE 03. FRAUD MANAGEMENT IN BANKING MARKET FOR SERVICE, BY REGION, 2022-2032 ($MILLION)
TABLE 04. GLOBAL FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 05. FRAUD MANAGEMENT IN BANKING MARKET FOR PAYMENT FRAUD, BY REGION, 2022-2032 ($MILLION)
TABLE 06. FRAUD MANAGEMENT IN BANKING MARKET FOR LOAN FRAUD, BY REGION, 2022-2032 ($MILLION)
TABLE 07. FRAUD MANAGEMENT IN BANKING MARKET FOR IDENTITY THEFT, BY REGION, 2022-2032 ($MILLION)
TABLE 08. FRAUD MANAGEMENT IN BANKING MARKET FOR MONEY LAUNDERING, BY REGION, 2022-2032 ($MILLION)
TABLE 09. FRAUD MANAGEMENT IN BANKING MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
TABLE 10. GLOBAL FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 11. FRAUD MANAGEMENT IN BANKING MARKET FOR FRAUD DETECTION AND PREVENTION SYSTEMS, BY REGION, 2022-2032 ($MILLION)
TABLE 12. FRAUD MANAGEMENT IN BANKING MARKET FOR IDENTITY AND ACCESS MANAGEMENT (IAM), BY REGION, 2022-2032 ($MILLION)
TABLE 13. FRAUD MANAGEMENT IN BANKING MARKET FOR CUSTOMER AUTHENTICATION, BY REGION, 2022-2032 ($MILLION)
TABLE 14. FRAUD MANAGEMENT IN BANKING MARKET FOR TRANSACTION MONITORING, BY REGION, 2022-2032 ($MILLION)
TABLE 15. FRAUD MANAGEMENT IN BANKING MARKET FOR OTHERS, BY REGION, 2022-2032 ($MILLION)
TABLE 16. FRAUD MANAGEMENT IN BANKING MARKET, BY REGION, 2022-2032 ($MILLION)
TABLE 17. NORTH AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 18. NORTH AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 19. NORTH AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 20. NORTH AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 21. U.S. FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 22. U.S. FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 23. U.S. FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 24. CANADA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 25. CANADA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 26. CANADA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 27. EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 28. EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 29. EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 30. EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 31. UK FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 32. UK FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 33. UK FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 34. GERMANY FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 35. GERMANY FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 36. GERMANY FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 37. FRANCE FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 38. FRANCE FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 39. FRANCE FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 40. ITALY FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 41. ITALY FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 42. ITALY FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 43. SPAIN FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 44. SPAIN FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 45. SPAIN FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 46. REST OF EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 47. REST OF EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 48. REST OF EUROPE FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 49. ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 50. ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 51. ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 52. ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 53. CHINA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 54. CHINA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 55. CHINA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 56. JAPAN FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 57. JAPAN FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 58. JAPAN FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 59. INDIA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 60. INDIA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 61. INDIA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 62. SOUTH KOREA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 63. SOUTH KOREA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 64. SOUTH KOREA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 65. AUSTRALIA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 66. AUSTRALIA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 67. AUSTRALIA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 68. REST OF ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 69. REST OF ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 70. REST OF ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 71. LAMEA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 72. LAMEA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 73. LAMEA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 74. LAMEA FRAUD MANAGEMENT IN BANKING MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 75. LATIN AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 76. LATIN AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 77. LATIN AMERICA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 78. MIDDLE EAST FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 79. MIDDLE EAST FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 80. MIDDLE EAST FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 81. AFRICA FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 82. AFRICA FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022-2032 ($MILLION)
TABLE 83. AFRICA FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022-2032 ($MILLION)
TABLE 84. IBM CORPORATION: KEY EXECUTIVES
TABLE 85. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 86. IBM CORPORATION: SERVICE SEGMENTS
TABLE 87. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 88. IBM CORPORATION: KEY STRATERGIES
TABLE 89. SAS INSTITUTE INC: KEY EXECUTIVES
TABLE 90. SAS INSTITUTE INC: COMPANY SNAPSHOT
TABLE 91. SAS INSTITUTE INC: SERVICE SEGMENTS
TABLE 92. SAS INSTITUTE INC: PRODUCT PORTFOLIO
TABLE 93. SAS INSTITUTE INC: KEY STRATERGIES
TABLE 94. SAP SE: KEY EXECUTIVES
TABLE 95. SAP SE: COMPANY SNAPSHOT
TABLE 96. SAP SE: SERVICE SEGMENTS
TABLE 97. SAP SE: PRODUCT PORTFOLIO
TABLE 98. SAP SE: KEY STRATERGIES
TABLE 99. NICE ACTIMIZE: KEY EXECUTIVES
TABLE 100. NICE ACTIMIZE: COMPANY SNAPSHOT
TABLE 101. NICE ACTIMIZE: SERVICE SEGMENTS
TABLE 102. NICE ACTIMIZE: PRODUCT PORTFOLIO
TABLE 103. NICE ACTIMIZE: KEY STRATERGIES
TABLE 104. ACI WORLDWIDE INC: KEY EXECUTIVES
TABLE 105. ACI WORLDWIDE INC: COMPANY SNAPSHOT
TABLE 106. ACI WORLDWIDE INC: SERVICE SEGMENTS
TABLE 107. ACI WORLDWIDE INC: PRODUCT PORTFOLIO
TABLE 108. ACI WORLDWIDE INC: KEY STRATERGIES
TABLE 109. EXPERIAN PLC: KEY EXECUTIVES
TABLE 110. EXPERIAN PLC: COMPANY SNAPSHOT
TABLE 111. EXPERIAN PLC: SERVICE SEGMENTS
TABLE 112. EXPERIAN PLC: PRODUCT PORTFOLIO
TABLE 113. EXPERIAN PLC: KEY STRATERGIES
TABLE 114. BAE SYSTEMS: KEY EXECUTIVES
TABLE 115. BAE SYSTEMS: COMPANY SNAPSHOT
TABLE 116. BAE SYSTEMS: PRODUCT SEGMENTS
TABLE 117. BAE SYSTEMS: PRODUCT PORTFOLIO
TABLE 118. FIS GLOBAL: KEY EXECUTIVES
TABLE 119. FIS GLOBAL: COMPANY SNAPSHOT
TABLE 120. FIS GLOBAL: SERVICE SEGMENTS
TABLE 121. FIS GLOBAL: PRODUCT PORTFOLIO
TABLE 122. FIS GLOBAL: KEY STRATERGIES
TABLE 123. LEXISNEXIS RISK SOLUTIONS: KEY EXECUTIVES
TABLE 124. LEXISNEXIS RISK SOLUTIONS: COMPANY SNAPSHOT
TABLE 125. LEXISNEXIS RISK SOLUTIONS: SERVICE SEGMENTS
TABLE 126. LEXISNEXIS RISK SOLUTIONS: PRODUCT PORTFOLIO
TABLE 127. BIOCATCH LTD.: KEY EXECUTIVES
TABLE 128. BIOCATCH LTD.: COMPANY SNAPSHOT
TABLE 129. BIOCATCH LTD.: SERVICE SEGMENTS
TABLE 130. BIOCATCH LTD.: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01. FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032
FIGURE 02. SEGMENTATION OF FRAUD MANAGEMENT IN BANKING MARKET,2022-2032
FIGURE 03. TOP IMPACTING FACTORS IN FRAUD MANAGEMENT IN BANKING MARKET (2022 TO 2032)
FIGURE 04. TOP INVESTMENT POCKETS IN FRAUD MANAGEMENT IN BANKING MARKET (2023-2032)
FIGURE 05. LOW BARGAINING POWER OF SUPPLIERS
FIGURE 06. LOW THREAT OF NEW ENTRANTS
FIGURE 07. LOW THREAT OF SUBSTITUTES
FIGURE 08. LOW INTENSITY OF RIVALRY
FIGURE 09. LOW BARGAINING POWER OF BUYERS
FIGURE 10. GLOBAL FRAUD MANAGEMENT IN BANKING MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 11. FRAUD MANAGEMENT IN BANKING MARKET, BY COMPONENT, 2022 AND 2032(%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR SOLUTION, BY COUNTRY 2022 AND 2032(%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR SERVICE, BY COUNTRY 2022 AND 2032(%)
FIGURE 14. FRAUD MANAGEMENT IN BANKING MARKET, BY FRAUD TYPE, 2022 AND 2032(%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR PAYMENT FRAUD, BY COUNTRY 2022 AND 2032(%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR LOAN FRAUD, BY COUNTRY 2022 AND 2032(%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR IDENTITY THEFT, BY COUNTRY 2022 AND 2032(%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR MONEY LAUNDERING, BY COUNTRY 2022 AND 2032(%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
FIGURE 20. FRAUD MANAGEMENT IN BANKING MARKET, BY APPLICATION, 2022 AND 2032(%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR FRAUD DETECTION AND PREVENTION SYSTEMS, BY COUNTRY 2022 AND 2032(%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR IDENTITY AND ACCESS MANAGEMENT (IAM), BY COUNTRY 2022 AND 2032(%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR CUSTOMER AUTHENTICATION, BY COUNTRY 2022 AND 2032(%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR TRANSACTION MONITORING, BY COUNTRY 2022 AND 2032(%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF FRAUD MANAGEMENT IN BANKING MARKET FOR OTHERS, BY COUNTRY 2022 AND 2032(%)
FIGURE 26. FRAUD MANAGEMENT IN BANKING MARKET BY REGION, 2022 AND 2032(%)
FIGURE 27. U.S. FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 28. CANADA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 29. UK FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 30. GERMANY FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 31. FRANCE FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 32. ITALY FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 33. SPAIN FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 34. REST OF EUROPE FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 35. CHINA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 36. JAPAN FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 37. INDIA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 38. SOUTH KOREA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 39. AUSTRALIA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 40. REST OF ASIA-PACIFIC FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 41. LATIN AMERICA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 42. MIDDLE EAST FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 43. AFRICA FRAUD MANAGEMENT IN BANKING MARKET, 2022-2032 ($MILLION)
FIGURE 44. TOP WINNING STRATEGIES, BY YEAR (2021-2023)
FIGURE 45. TOP WINNING STRATEGIES, BY DEVELOPMENT (2021-2023)
FIGURE 46. TOP WINNING STRATEGIES, BY COMPANY (2021-2023)
FIGURE 47. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 48. COMPETITIVE DASHBOARD
FIGURE 49. COMPETITIVE HEATMAP: FRAUD MANAGEMENT IN BANKING MARKET
FIGURE 50. TOP PLAYER POSITIONING, 2022
FIGURE 51. IBM CORPORATION: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 52. IBM CORPORATION: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 53. IBM CORPORATION: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 54. IBM CORPORATION: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 55. SAP SE: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 56. SAP SE: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 57. SAP SE: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 58. SAP SE: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 59. NICE ACTIMIZE: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 60. NICE ACTIMIZE: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 61. NICE ACTIMIZE: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 62. NICE ACTIMIZE: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 63. BAE SYSTEMS: NET SALES, 2020-2022 ($MILLION)
FIGURE 64. BAE SYSTEMS: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 65. BAE SYSTEMS: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 66. BAE SYSTEMS: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 67. LEXISNEXIS RISK SOLUTIONS: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 68. LEXISNEXIS RISK SOLUTIONS: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 69. LEXISNEXIS RISK SOLUTIONS: REVENUE SHARE BY REGION, 2022 (%)

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