Anti-money Laundering Software Comprehensive Study by Type (Transaction Monitoring Software, Currency Transaction Reporting (CTR) Software, Customer Identity Management Software, Compliance Management Software), Solutions (Transactional Monitoring, KYC (Know Your Customer), Fraud, Risk & Compliance Management, Watch-list Screening, Data Warehouse Management, Analytics and Visualization, Alert Management and Reporting, Case Management, Other solutions), Deployment Model (Cloud-based, On-premise), End User (Retail Banking, Corporate Banking, Private Banking, Investment Banking, Asset Management, Insurance, Multiple Banking Services, Legal Service Providers, Other) Players and Region - Global Market Outlook to 2026

Anti-money Laundering Software Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 10.9%  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Anti-money Laundering Software Market Overview:
Anti-money laundering (AML) software provides a solution, which allows banks as well as other financial institutions to monitor customer behavior for suspected illegal financial actions through automated procedures. Also, it is a set of processes, laws, and regulations intended to stop the practice of creating salary through criminal actions. There is various type of anti-money laundering software such as transaction monitoring systems, currency transaction reporting (CTR) systems, customer identity management systems, and compliance management software. Rising the use of artificial intelligence and cloud computing will help to boost the global anti-money laundering software market. According to AMA, the Global Anti-money Laundering Software market is expected to see growth rate of 10.9%

Growth Drivers
  • Increased AML Regulatory Requirements
  • The Escalation in Money Laundering Cases
  • Development in IT Expenditure

Roadblocks
  • Lack of AML Professionals

Opportunities
  • Emerging Artificial Intelligence Technology in AML Solutions
  • Fueling Adoption of Cloud-Based Solutions


Competitive Landscape:

Some of the key players profiled in the report are Accenture Inc. (United States), SAS Institute Inc. (United States), Fiserv, Inc. (United States), Opentext (Canada), Experian (Ireland), Oracle Corp. (United States), FICO TONBELLER (Germany), Ascent Technology Consulting (Singapore), EastNets (Dubai), Trulioo (Canada), Verafin (United States) and Fenergo (United States). Additionally, following companies can also be profiled that are part of our coverage like BAE Systems (United Kingdom), ACI Worldwide, Inc. (United States), NICE Actimize (United States) and Regulatory DataCorp, Inc. (United States). Analyst at AMA Research see United States Players to retain maximum share of Global Anti-money Laundering Software market by 2026. Considering Market by Solutions, the sub-segment i.e. Transactional Monitoring will boost the Anti-money Laundering Software market. Considering Market by Deployment Model, the sub-segment i.e. Cloud-based will boost the Anti-money Laundering Software market. Considering Market by End User, the sub-segment i.e. Retail Banking will boost the Anti-money Laundering Software market.

Latest Market Insights:
On 25th September 2018, Fiserv, Inc. a leading global provider of financial services technology solutions has acquired the debit card processing, ATM Managed Services and MoneyPass surcharge-free network of Elan Financial Services, a unit of U.S. Bancorp. This acquisition helps to expand the value proposition of Fiserv.

On 28th March 2018, Accenture has launched a cloud-based data analytics utility. This launch will help the United States Banks to increase and manage their risk-management and other activities more efficiently and cost-effectively than they could do on their own.

What Can be Explored with the Anti-money Laundering Software Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Anti-money Laundering Software Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Anti-money Laundering Software
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Anti-money Laundering Software market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Anti-money Laundering Software market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes AML Software Developers, Technological Investors, Security Solution Providers, Financial Industry, Government Regulatory Bodies, Private Research Firm, Government Research Firm and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Transaction Monitoring Software
  • Currency Transaction Reporting (CTR) Software
  • Customer Identity Management Software
  • Compliance Management Software
By Solutions
  • Transactional Monitoring
  • KYC (Know Your Customer)
  • Fraud
  • Risk & Compliance Management
  • Watch-list Screening
  • Data Warehouse Management
  • Analytics and Visualization
  • Alert Management and Reporting
  • Case Management
  • Other solutions

By Deployment Model
  • Cloud-based
  • On-premise

By End User
  • Retail Banking
  • Corporate Banking
  • Private Banking
  • Investment Banking
  • Asset Management
  • Insurance
  • Multiple Banking Services
  • Legal Service Providers
  • Other

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increased AML Regulatory Requirements
      • 3.2.2. The Escalation in Money Laundering Cases
      • 3.2.3. Development in IT Expenditure
    • 3.3. Market Trends
      • 3.3.1. High demand of Customer Identity Management Software
      • 3.3.2. Growth in Government Initiatives toward Money Laundering
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Anti-money Laundering Software, by Type, Solutions, Deployment Model, End User and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Anti-money Laundering Software (Value)
      • 5.2.1. Global Anti-money Laundering Software by: Type (Value)
        • 5.2.1.1. Transaction Monitoring Software
        • 5.2.1.2. Currency Transaction Reporting (CTR) Software
        • 5.2.1.3. Customer Identity Management Software
        • 5.2.1.4. Compliance Management Software
      • 5.2.2. Global Anti-money Laundering Software by: Solutions (Value)
        • 5.2.2.1. Transactional Monitoring
        • 5.2.2.2. KYC (Know Your Customer)
        • 5.2.2.3. Fraud
        • 5.2.2.4. Risk & Compliance Management
        • 5.2.2.5. Watch-list Screening
        • 5.2.2.6. Data Warehouse Management
        • 5.2.2.7. Analytics and Visualization
        • 5.2.2.8. Alert Management and Reporting
        • 5.2.2.9. Case Management
        • 5.2.2.10. Other solutions
      • 5.2.3. Global Anti-money Laundering Software by: Deployment Model (Value)
        • 5.2.3.1. Cloud-based
        • 5.2.3.2. On-premise
      • 5.2.4. Global Anti-money Laundering Software by: End User (Value)
        • 5.2.4.1. Retail Banking
        • 5.2.4.2. Corporate Banking
        • 5.2.4.3. Private Banking
        • 5.2.4.4. Investment Banking
        • 5.2.4.5. Asset Management
        • 5.2.4.6. Insurance
        • 5.2.4.7. Multiple Banking Services
        • 5.2.4.8. Legal Service Providers
        • 5.2.4.9. Other
      • 5.2.5. Global Anti-money Laundering Software Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Anti-money Laundering Software (Price)
      • 5.3.1. Global Anti-money Laundering Software by: Type (Price)
  • 6. Anti-money Laundering Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Accenture Inc. (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SAS Institute Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Fiserv, Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Opentext (Canada)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Experian (Ireland)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Oracle Corp. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. FICO TONBELLER (Germany)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Ascent Technology Consulting (Singapore)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. EastNets (Dubai)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Trulioo (Canada)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Verafin (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Fenergo (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Anti-money Laundering Software Sale, by Type, Solutions, Deployment Model, End User and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Anti-money Laundering Software (Value)
      • 7.2.1. Global Anti-money Laundering Software by: Type (Value)
        • 7.2.1.1. Transaction Monitoring Software
        • 7.2.1.2. Currency Transaction Reporting (CTR) Software
        • 7.2.1.3. Customer Identity Management Software
        • 7.2.1.4. Compliance Management Software
      • 7.2.2. Global Anti-money Laundering Software by: Solutions (Value)
        • 7.2.2.1. Transactional Monitoring
        • 7.2.2.2. KYC (Know Your Customer)
        • 7.2.2.3. Fraud
        • 7.2.2.4. Risk & Compliance Management
        • 7.2.2.5. Watch-list Screening
        • 7.2.2.6. Data Warehouse Management
        • 7.2.2.7. Analytics and Visualization
        • 7.2.2.8. Alert Management and Reporting
        • 7.2.2.9. Case Management
        • 7.2.2.10. Other solutions
      • 7.2.3. Global Anti-money Laundering Software by: Deployment Model (Value)
        • 7.2.3.1. Cloud-based
        • 7.2.3.2. On-premise
      • 7.2.4. Global Anti-money Laundering Software by: End User (Value)
        • 7.2.4.1. Retail Banking
        • 7.2.4.2. Corporate Banking
        • 7.2.4.3. Private Banking
        • 7.2.4.4. Investment Banking
        • 7.2.4.5. Asset Management
        • 7.2.4.6. Insurance
        • 7.2.4.7. Multiple Banking Services
        • 7.2.4.8. Legal Service Providers
        • 7.2.4.9. Other
      • 7.2.5. Global Anti-money Laundering Software Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Anti-money Laundering Software (Price)
      • 7.3.1. Global Anti-money Laundering Software by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Anti-money Laundering Software: by Type(USD Million)
  • Table 2. Anti-money Laundering Software Transaction Monitoring Software , by Region USD Million (2015-2020)
  • Table 3. Anti-money Laundering Software Currency Transaction Reporting (CTR) Software , by Region USD Million (2015-2020)
  • Table 4. Anti-money Laundering Software Customer Identity Management Software , by Region USD Million (2015-2020)
  • Table 5. Anti-money Laundering Software Compliance Management Software , by Region USD Million (2015-2020)
  • Table 6. Anti-money Laundering Software: by Solutions(USD Million)
  • Table 7. Anti-money Laundering Software Transactional Monitoring , by Region USD Million (2015-2020)
  • Table 8. Anti-money Laundering Software KYC (Know Your Customer) , by Region USD Million (2015-2020)
  • Table 9. Anti-money Laundering Software Fraud , by Region USD Million (2015-2020)
  • Table 10. Anti-money Laundering Software Risk & Compliance Management , by Region USD Million (2015-2020)
  • Table 11. Anti-money Laundering Software Watch-list Screening , by Region USD Million (2015-2020)
  • Table 12. Anti-money Laundering Software Data Warehouse Management , by Region USD Million (2015-2020)
  • Table 13. Anti-money Laundering Software Analytics and Visualization , by Region USD Million (2015-2020)
  • Table 14. Anti-money Laundering Software Alert Management and Reporting , by Region USD Million (2015-2020)
  • Table 15. Anti-money Laundering Software Case Management , by Region USD Million (2015-2020)
  • Table 16. Anti-money Laundering Software Other solutions , by Region USD Million (2015-2020)
  • Table 17. Anti-money Laundering Software: by Deployment Model(USD Million)
  • Table 18. Anti-money Laundering Software Cloud-based , by Region USD Million (2015-2020)
  • Table 19. Anti-money Laundering Software On-premise , by Region USD Million (2015-2020)
  • Table 20. Anti-money Laundering Software: by End User(USD Million)
  • Table 21. Anti-money Laundering Software Retail Banking , by Region USD Million (2015-2020)
  • Table 22. Anti-money Laundering Software Corporate Banking , by Region USD Million (2015-2020)
  • Table 23. Anti-money Laundering Software Private Banking , by Region USD Million (2015-2020)
  • Table 24. Anti-money Laundering Software Investment Banking , by Region USD Million (2015-2020)
  • Table 25. Anti-money Laundering Software Asset Management , by Region USD Million (2015-2020)
  • Table 26. Anti-money Laundering Software Insurance , by Region USD Million (2015-2020)
  • Table 27. Anti-money Laundering Software Multiple Banking Services , by Region USD Million (2015-2020)
  • Table 28. Anti-money Laundering Software Legal Service Providers , by Region USD Million (2015-2020)
  • Table 29. Anti-money Laundering Software Other , by Region USD Million (2015-2020)
  • Table 30. South America Anti-money Laundering Software, by Country USD Million (2015-2020)
  • Table 31. South America Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 32. South America Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 33. South America Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 34. South America Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 35. Brazil Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 36. Brazil Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 37. Brazil Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 38. Brazil Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 39. Argentina Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 40. Argentina Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 41. Argentina Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 42. Argentina Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 43. Rest of South America Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 44. Rest of South America Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 45. Rest of South America Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 46. Rest of South America Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 47. Asia Pacific Anti-money Laundering Software, by Country USD Million (2015-2020)
  • Table 48. Asia Pacific Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 49. Asia Pacific Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 50. Asia Pacific Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 51. Asia Pacific Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 52. China Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 53. China Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 54. China Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 55. China Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 56. Japan Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 57. Japan Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 58. Japan Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 59. Japan Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 60. India Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 61. India Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 62. India Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 63. India Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 64. South Korea Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 65. South Korea Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 66. South Korea Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 67. South Korea Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 68. Taiwan Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 69. Taiwan Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 70. Taiwan Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 71. Taiwan Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 72. Australia Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 73. Australia Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 74. Australia Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 75. Australia Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 76. Rest of Asia-Pacific Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 77. Rest of Asia-Pacific Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 78. Rest of Asia-Pacific Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 79. Rest of Asia-Pacific Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 80. Europe Anti-money Laundering Software, by Country USD Million (2015-2020)
  • Table 81. Europe Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 82. Europe Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 83. Europe Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 84. Europe Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 85. Germany Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 86. Germany Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 87. Germany Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 88. Germany Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 89. France Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 90. France Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 91. France Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 92. France Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 93. Italy Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 94. Italy Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 95. Italy Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 96. Italy Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 97. United Kingdom Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 98. United Kingdom Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 99. United Kingdom Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 100. United Kingdom Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 101. Netherlands Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 102. Netherlands Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 103. Netherlands Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 104. Netherlands Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 105. Rest of Europe Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 106. Rest of Europe Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 107. Rest of Europe Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 108. Rest of Europe Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 109. MEA Anti-money Laundering Software, by Country USD Million (2015-2020)
  • Table 110. MEA Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 111. MEA Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 112. MEA Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 113. MEA Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 114. Middle East Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 115. Middle East Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 116. Middle East Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 117. Middle East Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 118. Africa Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 119. Africa Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 120. Africa Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 121. Africa Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 122. North America Anti-money Laundering Software, by Country USD Million (2015-2020)
  • Table 123. North America Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 124. North America Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 125. North America Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 126. North America Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 127. United States Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 128. United States Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 129. United States Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 130. United States Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 131. Canada Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 132. Canada Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 133. Canada Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 134. Canada Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 135. Mexico Anti-money Laundering Software, by Type USD Million (2015-2020)
  • Table 136. Mexico Anti-money Laundering Software, by Solutions USD Million (2015-2020)
  • Table 137. Mexico Anti-money Laundering Software, by Deployment Model USD Million (2015-2020)
  • Table 138. Mexico Anti-money Laundering Software, by End User USD Million (2015-2020)
  • Table 139. Anti-money Laundering Software: by Type(USD/Units)
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Company Basic Information, Sales Area and Its Competitors
  • Table 148. Company Basic Information, Sales Area and Its Competitors
  • Table 149. Company Basic Information, Sales Area and Its Competitors
  • Table 150. Company Basic Information, Sales Area and Its Competitors
  • Table 151. Company Basic Information, Sales Area and Its Competitors
  • Table 152. Anti-money Laundering Software: by Type(USD Million)
  • Table 153. Anti-money Laundering Software Transaction Monitoring Software , by Region USD Million (2021-2026)
  • Table 154. Anti-money Laundering Software Currency Transaction Reporting (CTR) Software , by Region USD Million (2021-2026)
  • Table 155. Anti-money Laundering Software Customer Identity Management Software , by Region USD Million (2021-2026)
  • Table 156. Anti-money Laundering Software Compliance Management Software , by Region USD Million (2021-2026)
  • Table 157. Anti-money Laundering Software: by Solutions(USD Million)
  • Table 158. Anti-money Laundering Software Transactional Monitoring , by Region USD Million (2021-2026)
  • Table 159. Anti-money Laundering Software KYC (Know Your Customer) , by Region USD Million (2021-2026)
  • Table 160. Anti-money Laundering Software Fraud , by Region USD Million (2021-2026)
  • Table 161. Anti-money Laundering Software Risk & Compliance Management , by Region USD Million (2021-2026)
  • Table 162. Anti-money Laundering Software Watch-list Screening , by Region USD Million (2021-2026)
  • Table 163. Anti-money Laundering Software Data Warehouse Management , by Region USD Million (2021-2026)
  • Table 164. Anti-money Laundering Software Analytics and Visualization , by Region USD Million (2021-2026)
  • Table 165. Anti-money Laundering Software Alert Management and Reporting , by Region USD Million (2021-2026)
  • Table 166. Anti-money Laundering Software Case Management , by Region USD Million (2021-2026)
  • Table 167. Anti-money Laundering Software Other solutions , by Region USD Million (2021-2026)
  • Table 168. Anti-money Laundering Software: by Deployment Model(USD Million)
  • Table 169. Anti-money Laundering Software Cloud-based , by Region USD Million (2021-2026)
  • Table 170. Anti-money Laundering Software On-premise , by Region USD Million (2021-2026)
  • Table 171. Anti-money Laundering Software: by End User(USD Million)
  • Table 172. Anti-money Laundering Software Retail Banking , by Region USD Million (2021-2026)
  • Table 173. Anti-money Laundering Software Corporate Banking , by Region USD Million (2021-2026)
  • Table 174. Anti-money Laundering Software Private Banking , by Region USD Million (2021-2026)
  • Table 175. Anti-money Laundering Software Investment Banking , by Region USD Million (2021-2026)
  • Table 176. Anti-money Laundering Software Asset Management , by Region USD Million (2021-2026)
  • Table 177. Anti-money Laundering Software Insurance , by Region USD Million (2021-2026)
  • Table 178. Anti-money Laundering Software Multiple Banking Services , by Region USD Million (2021-2026)
  • Table 179. Anti-money Laundering Software Legal Service Providers , by Region USD Million (2021-2026)
  • Table 180. Anti-money Laundering Software Other , by Region USD Million (2021-2026)
  • Table 181. South America Anti-money Laundering Software, by Country USD Million (2021-2026)
  • Table 182. South America Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 183. South America Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 184. South America Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 185. South America Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 186. Brazil Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 187. Brazil Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 188. Brazil Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 189. Brazil Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 190. Argentina Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 191. Argentina Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 192. Argentina Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 193. Argentina Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 194. Rest of South America Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 195. Rest of South America Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 196. Rest of South America Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 197. Rest of South America Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 198. Asia Pacific Anti-money Laundering Software, by Country USD Million (2021-2026)
  • Table 199. Asia Pacific Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 200. Asia Pacific Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 201. Asia Pacific Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 202. Asia Pacific Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 203. China Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 204. China Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 205. China Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 206. China Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 207. Japan Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 208. Japan Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 209. Japan Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 210. Japan Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 211. India Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 212. India Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 213. India Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 214. India Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 215. South Korea Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 216. South Korea Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 217. South Korea Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 218. South Korea Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 219. Taiwan Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 220. Taiwan Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 221. Taiwan Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 222. Taiwan Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 223. Australia Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 224. Australia Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 225. Australia Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 226. Australia Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 227. Rest of Asia-Pacific Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 228. Rest of Asia-Pacific Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 229. Rest of Asia-Pacific Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 230. Rest of Asia-Pacific Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 231. Europe Anti-money Laundering Software, by Country USD Million (2021-2026)
  • Table 232. Europe Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 233. Europe Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 234. Europe Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 235. Europe Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 236. Germany Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 237. Germany Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 238. Germany Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 239. Germany Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 240. France Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 241. France Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 242. France Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 243. France Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 244. Italy Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 245. Italy Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 246. Italy Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 247. Italy Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 248. United Kingdom Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 249. United Kingdom Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 250. United Kingdom Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 251. United Kingdom Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 252. Netherlands Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 253. Netherlands Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 254. Netherlands Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 255. Netherlands Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 256. Rest of Europe Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 257. Rest of Europe Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 258. Rest of Europe Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 259. Rest of Europe Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 260. MEA Anti-money Laundering Software, by Country USD Million (2021-2026)
  • Table 261. MEA Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 262. MEA Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 263. MEA Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 264. MEA Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 265. Middle East Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 266. Middle East Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 267. Middle East Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 268. Middle East Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 269. Africa Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 270. Africa Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 271. Africa Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 272. Africa Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 273. North America Anti-money Laundering Software, by Country USD Million (2021-2026)
  • Table 274. North America Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 275. North America Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 276. North America Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 277. North America Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 278. United States Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 279. United States Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 280. United States Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 281. United States Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 282. Canada Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 283. Canada Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 284. Canada Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 285. Canada Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 286. Mexico Anti-money Laundering Software, by Type USD Million (2021-2026)
  • Table 287. Mexico Anti-money Laundering Software, by Solutions USD Million (2021-2026)
  • Table 288. Mexico Anti-money Laundering Software, by Deployment Model USD Million (2021-2026)
  • Table 289. Mexico Anti-money Laundering Software, by End User USD Million (2021-2026)
  • Table 290. Anti-money Laundering Software: by Type(USD/Units)
  • Table 291. Research Programs/Design for This Report
  • Table 292. Key Data Information from Secondary Sources
  • Table 293. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Anti-money Laundering Software: by Type USD Million (2015-2020)
  • Figure 5. Global Anti-money Laundering Software: by Solutions USD Million (2015-2020)
  • Figure 6. Global Anti-money Laundering Software: by Deployment Model USD Million (2015-2020)
  • Figure 7. Global Anti-money Laundering Software: by End User USD Million (2015-2020)
  • Figure 8. South America Anti-money Laundering Software Share (%), by Country
  • Figure 9. Asia Pacific Anti-money Laundering Software Share (%), by Country
  • Figure 10. Europe Anti-money Laundering Software Share (%), by Country
  • Figure 11. MEA Anti-money Laundering Software Share (%), by Country
  • Figure 12. North America Anti-money Laundering Software Share (%), by Country
  • Figure 13. Global Anti-money Laundering Software: by Type USD/Units (2015-2020)
  • Figure 14. Global Anti-money Laundering Software share by Players 2020 (%)
  • Figure 15. Global Anti-money Laundering Software share by Players (Top 3) 2020(%)
  • Figure 16. Global Anti-money Laundering Software share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Accenture Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 19. Accenture Inc. (United States) Revenue: by Geography 2020
  • Figure 20. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. SAS Institute Inc. (United States) Revenue: by Geography 2020
  • Figure 22. Fiserv, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Fiserv, Inc. (United States) Revenue: by Geography 2020
  • Figure 24. Opentext (Canada) Revenue, Net Income and Gross profit
  • Figure 25. Opentext (Canada) Revenue: by Geography 2020
  • Figure 26. Experian (Ireland) Revenue, Net Income and Gross profit
  • Figure 27. Experian (Ireland) Revenue: by Geography 2020
  • Figure 28. Oracle Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Oracle Corp. (United States) Revenue: by Geography 2020
  • Figure 30. FICO TONBELLER (Germany) Revenue, Net Income and Gross profit
  • Figure 31. FICO TONBELLER (Germany) Revenue: by Geography 2020
  • Figure 32. Ascent Technology Consulting (Singapore) Revenue, Net Income and Gross profit
  • Figure 33. Ascent Technology Consulting (Singapore) Revenue: by Geography 2020
  • Figure 34. EastNets (Dubai) Revenue, Net Income and Gross profit
  • Figure 35. EastNets (Dubai) Revenue: by Geography 2020
  • Figure 36. Trulioo (Canada) Revenue, Net Income and Gross profit
  • Figure 37. Trulioo (Canada) Revenue: by Geography 2020
  • Figure 38. Verafin (United States) Revenue, Net Income and Gross profit
  • Figure 39. Verafin (United States) Revenue: by Geography 2020
  • Figure 40. Fenergo (United States) Revenue, Net Income and Gross profit
  • Figure 41. Fenergo (United States) Revenue: by Geography 2020
  • Figure 42. Global Anti-money Laundering Software: by Type USD Million (2021-2026)
  • Figure 43. Global Anti-money Laundering Software: by Solutions USD Million (2021-2026)
  • Figure 44. Global Anti-money Laundering Software: by Deployment Model USD Million (2021-2026)
  • Figure 45. Global Anti-money Laundering Software: by End User USD Million (2021-2026)
  • Figure 46. South America Anti-money Laundering Software Share (%), by Country
  • Figure 47. Asia Pacific Anti-money Laundering Software Share (%), by Country
  • Figure 48. Europe Anti-money Laundering Software Share (%), by Country
  • Figure 49. MEA Anti-money Laundering Software Share (%), by Country
  • Figure 50. North America Anti-money Laundering Software Share (%), by Country
  • Figure 51. Global Anti-money Laundering Software: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • Accenture Inc. (United States)
  • SAS Institute Inc. (United States)
  • Fiserv, Inc. (United States)
  • Opentext (Canada)
  • Experian (Ireland)
  • Oracle Corp. (United States)
  • FICO TONBELLER (Germany)
  • Ascent Technology Consulting (Singapore)
  • EastNets (Dubai)
  • Trulioo (Canada)
  • Verafin (United States)
  • Fenergo (United States)
Additional players considered in the study are as follows:
BAE Systems (United Kingdom) , ACI Worldwide, Inc. (United States) , NICE Actimize (United States) , Regulatory DataCorp, Inc. (United States)
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Frequently Asked Questions (FAQ):

The Anti-money Laundering Software market is expected to see a CAGR of 10.9% during projected year 2020 to 2026.
Top performing companies in the Global Anti-money Laundering Software market are Accenture Inc. (United States), SAS Institute Inc. (United States), Fiserv, Inc. (United States), Opentext (Canada), Experian (Ireland), Oracle Corp. (United States), FICO TONBELLER (Germany), Ascent Technology Consulting (Singapore), EastNets (Dubai), Trulioo (Canada), Verafin (United States) and Fenergo (United States), to name a few.
"High demand of Customer Identity Management Software " is seen as one of major influencing trends for Anti-money Laundering Software Market during projected period 2020-2026.

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