Anti-Money Laundering (AML) Market Size By Component, By Deployment Model, By Organization Size, By Application, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023

Description

Anti-Money Laundering (AML) Market is anticipated to expand through 2032, due to the rising cases of financial crimes being recorded globally. Various organizations are as well facing financial losses such as money laundering, data breaches, cyberattacks, etc., thus fostering the demand for anti-fraud and anti-money laundering solutions across the globe. According to reliable reports, the approximate amount of money laundered per year is 2% to 5% of the global GDP worldwide, or USD 800 billion to USD 2 trillion.

Overall, the anti-money laundering industry is segmented in terms of component, solution, service, deployment model, organization size, application, and region.

Based on the component, the service segment is anticipated to demonstrate notable growth through 2032. The rising adoption of cloud-based solutions and increasing demand for outsourcing AML solution management services will support the segmental growth in the coming years.

Considering the solution, the customer identity management segment is expected to exhibit over 16.5% CAGR by 2032. Streamlined customer experience, security for data and accounts, scalability and uptime, unified customer view, compliance with privacy regulations, and advanced login options are some of the key benefits projected to escalate the customer identity management solution adoption.

By service, the professional service segment is projected to depict more than 17.5% CAGR during 2023-2022. The growth can be attributed to the mounting use of AML solutions in financial institutions. AML solutions assist in solving the issues in real-time, enhance operational efficiency, and decreases operational costs across professional business.

Based on the deployment model, the cloud-based AML industry is poised to depict over 19.5% CAGR through 2032. Cloud-based solutions enable financial institutions to modify their AML procedures to avoid the consequence and comply with present and future AML regulations. Moreover, speedy remote configuration, leaner IT teams, secure remote access, and the ability to leverage innovative technology are some of the key advantages of the cloud-based deployment model that are anticipated to spur its adoption in the coming years.

Considering the organization size, the large enterprises segment registered over USD 1.7 billion revenue share in 2022 and is slated to grow considerably by 2032 end. The growth can be attributed to budding use of AML tools and software in large enterprises for avoiding fraud and growing emphasis on core competencies.

By application, the IT and telecom segment held over 24.5% revenue share in 2022 and is expected to expand substantially through 2032. The increased deployment of AML-based tools and solutions by telecom companies to avert any illegal transaction will drive the market growth.

Regionally, the Asia Pacific anti-money laundering market is estimated to clock over 20.5% CAGR through 2032. Increasing penetration of smartphones, rising adoption of digitalization, the millennial population, and supportive government initiatives are key factors anticipated to escalate the regional market outlook.

Product Code: 5114

Chapter 1 Methodology & Scope

1.1 Market definitions
1.2 Base estimates and forecast
1.3 Forecast calculations
1.4 Data Sources
- 1.4.1 Secondary
- 1.4.2 Primary
1.5 Industry Glossary

Chapter 2 Executive Summary

2.1 Anti-money laundering industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Organization size trends
2.7 Application trends

Chapter 3 Anti-Money Laundering Industry Insights

3.1 Introduction
3.2 Impact of COVID-19 outbreak
- 3.2.1 By region
  - 3.2.1.1 North America
  - 3.2.1.2 Europe
  - 3.2.1.3 Asia Pacific
  - 3.2.1.4 Latin America
  - 3.2.1.5 Middle East & Africa
3.3 Evolution of AML
3.4 AML industry architecture
3.5 Fraud triangle and fraud cycle
3.6 AML industry ecosystem analysis
- 3.6.1 AML software providers
- 3.6.2 AML service providers
- 3.6.3 Fraud prevention hardware providers
- 3.6.4 System integrators
- 3.6.5 End users
- 3.6.6 Distribution channel
- 3.6.7 Profit margin analysis
- 3.6.8 Vendor matrix
3.7 Patent analysis
3.8 Investment portfolio
3.9 Key news & initiatives
3.10 Technology & innovation landscape
- 3.10.1 Rule based fraud detection
- 3.10.2 Machine learning and deep learning
- 3.10.3 Fraud analytics
- 3.10.4 Blockchain technology
3.11 Regulatory landscape
- 3.11.1 Data protection regulations
  - 3.11.1.1 Federal Information Security Management Act (FISMA)
  - 3.11.1.2 Health Insurance Portability and Accountability Act (HIPAA)
  - 3.11.1.3 Payment Card Industry Data Security Standard (PCI DSS)
  - 3.11.1.4 The General Data Protection Regulation (GDPR)
  - 3.11.1.5 The Gramm-Leach-Bliley Act (GLB) Act of 1999
  - 3.11.1.6 The Sarbanes-Oxley Act of 2002
- 3.11.2 Banking regulations
  - 3.11.2.1 Alternative Investment Fund Managers Directive (AIFMD)
  - 3.11.2.2 Anti-Money Laundering Directive 2015/849/EU (AMLD)
  - 3.11.2.3 Basel-III Regulations
  - 3.11.2.4 Dodd-Frank Wall Street Reform and Consumer Protection Act
  - 3.11.2.5 European Market Infrastructure Regulation (EMIR)
  - 3.11.2.6 Foreign Account Tax Compliance Act (FATCA)
  - 3.11.2.7 Indian Contract Act 1872
  - 3.11.2.8 Markets in Financial Instruments Directive (MiFID)
  - 3.11.2.9 Prevention of Money Laundering Act
3.12 Industry impact forces
- 3.12.1 Growth drivers
  - 3.12.1.1 Increasingly stringent penalties on non-compliance with AML regulations
  - 3.12.1.2 Rise in revenue loss due to numerous financial frauds
  - 3.12.1.3 Growing use of electronic and digital payment methods
  - 3.12.1.4 Increase in the frequency of cyberattacks and frauds
  - 3.12.1.5 Rapid surge in deployment of AI and big data analytics
- 3.12.2 Industry pitfalls & challenges
  - 3.12.2.1 Higher costs involved in deployment of AML solutions
  - 3.12.2.2 Lack of expertise and limited skillsets in AML industry
3.13 Growth potential analysis
3.14 Porter's analysis
- 3.14.1 Supplier power
- 3.14.2 Buyer power
- 3.14.3 Threat of new entrants
- 3.14.4 Threat of substitutes
- 3.14.5 Industry rivalry
3.15 PESTEL analysis
- 3.15.1 Political
- 3.15.2 Economic
- 3.15.3 Social
- 3.15.4 Technological
- 3.15.5 Environmental
- 3.15.6 Legal

Chapter 4 Competitive Landscape

4.1 Introduction
4.2 Market share analysis, 2022
4.3 Chart key
4.4 Competitive analysis of key market players, 2022
- 4.4.1 ACI Worldwide
- 4.4.2 BAE Systems PLC
- 4.4.3 Experian PLC
- 4.4.4 FIS, Inc.
- 4.4.5 Fiserv Inc.
- 4.4.6 OpenText Corporation
- 4.4.7 Oracle Corporation
4.5 Competitive analysis of market innovators, 2022
- 4.5.1 Accenture PLC
- 4.5.2 Lexis Nexis Risk Solutions Inc.
- 4.5.3 NICE Actimize
- 4.5.4 SAS Institute, Inc.
- 4.5.5 Tata Consultancy Services Ltd. (TCS)
4.6 Competitive positioning matrix
4.7 Strategic outlook matrix

Chapter 5 Anti-Money Laundering Market, By Component

5.1 Anti-money laundering market share, by component, 2022 & 2032
5.2 Solution
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Customer identity management
  - 5.2.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.3 Compliance management
  - 5.2.3.1 Market estimates and forecast, 2018 - 2032
- 5.2.4 Currency transaction reporting
  - 5.2.4.1 Market estimates and forecast, 2018 - 2032
- 5.2.5 Transaction monitoring
  - 5.2.5.1 Market estimates and forecast, 2018 - 2032
5.3 Service
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.3.2 Professional service
  - 5.3.2.1 Market estimates and forecast, 2018 - 2032
- 5.3.3 Managed service
  - 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Anti-Money Laundering Market, By Deployment Model

6.1 Anti-money laundering market share, by deployment model, 2022 & 2032
6.2 On-premise
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Cloud
- 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Anti-Money Laundering Market, By Organization Size

7.1 Anti-money laundering market share, by organization size, 2022 & 2032
7.2 Large enterprises
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 SME
- 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Anti-Money Laundering Market, By Application

8.1 Anti-money laundering market share, by application, 2022 & 2032
8.2 BFSI
- 8.2.1 Market estimates and forecast, 2018 - 2032
8.3 IT & telecom
- 8.3.1 Market estimates and forecast, 2018 - 2032
8.4 Government & public sector
- 8.4.1 Market estimates and forecast, 2018 - 2032
8.5 Healthcare
- 8.5.1 Market estimates and forecast, 2018 - 2032
8.6 Retail
- 8.6.1 Market estimates and forecast, 2018 - 2032
8.7 Transportation & logistics
- 8.7.1 Market estimates and forecast, 2018 - 2032
8.8 Others
- 8.8.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Anti-Money Laundering Market, By Region

9.1 Anti-money laundering market share, by region, 2022 & 2032
9.2 North America
- 9.2.1 Market estimates and forecast, 2018 - 2032
- 9.2.2 Market estimates and forecast, by component, 2018 - 2032
  - 9.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 9.2.2.2 Market estimates and forecast, by service, 2018 - 2032
- 9.2.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.2.4 Market estimates and forecast, by enterprise size, 2018 - 2032
- 9.2.5 Market estimates and forecast, by application, 2018 - 2032
- 9.2.6 U.S.
  - 9.2.6.1 Market estimates and forecast, 2018 - 2032
  - 9.2.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.2.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.2.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.2.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.2.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.2.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.2.7 Canada
  - 9.2.7.1 Market estimates and forecast, 2018 - 2032
  - 9.2.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.2.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.2.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.2.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.2.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.2.7.5 Market estimates and forecast, by application, 2018 - 2032
9.3 Europe
- 9.3.1 Market estimates and forecast, 2018 - 2032
- 9.3.2 Market estimates and forecast, by component, 2018 - 2032
  - 9.3.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 9.3.2.2 Market estimates and forecast, by service, 2018 - 2032
- 9.3.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.3.4 Market estimates and forecast, by enterprise size, 2018 - 2032
- 9.3.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.6 UK
  - 9.3.6.1 Market estimates and forecast, 2018 - 2032
  - 9.3.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.7 Germany
  - 9.3.7.1 Market estimates and forecast, 2018 - 2032
  - 9.3.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.8 France
  - 9.3.8.1 Market estimates and forecast, 2018 - 2032
  - 9.3.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.9 Italy
  - 9.3.9.1 Market estimates and forecast, 2018 - 2032
  - 9.3.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.9.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.10 Spain
  - 9.3.10.1 Market estimates and forecast, 2018 - 2032
  - 9.3.10.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.10.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.10.5 Market estimates and forecast, by application, 2018 - 2032
- 9.3.11 Netherlands
  - 9.3.11.1 Market estimates and forecast, 2018 - 2032
  - 9.3.11.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.3.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.3.11.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.3.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.3.11.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.3.11.5 Market estimates and forecast, by application, 2018 - 2032
9.4 Asia Pacific
- 9.4.1 Market estimates and forecast, 2018 - 2032
- 9.4.2 Market estimates and forecast, by component, 2018 - 2032
  - 9.4.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 9.4.2.2 Market estimates and forecast, by service, 2018 - 2032
- 9.4.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.4.4 Market estimates and forecast, by enterprise size, 2018 - 2032
- 9.4.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.6 China
  - 9.4.6.1 Market estimates and forecast, 2018 - 2032
  - 9.4.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.7 India
  - 9.4.7.1 Market estimates and forecast, 2018 - 2032
  - 9.4.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.8 Japan
  - 9.4.8.1 Market estimates and forecast, 2018 - 2032
  - 9.4.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.9 South Korea
  - 9.4.9.1 Market estimates and forecast, 2018 - 2032
  - 9.4.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.9.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.10 Australia & New Zealand (ANZ)
  - 9.4.10.1 Market estimates and forecast, 2018 - 2032
  - 9.4.10.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.10.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.10.5 Market estimates and forecast, by application, 2018 - 2032
- 9.4.11 Singapore
  - 9.4.11.1 Market estimates and forecast, 2018 - 2032
  - 9.4.11.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.4.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.4.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.4.11.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.4.11.5 Market estimates and forecast, by application, 2018 - 2032
9.5 Latin America
- 9.5.1 Market estimates and forecast, 2018 - 2032
- 9.5.2 Market estimates and forecast, by component, 2018 - 2032
  - 9.5.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 9.5.2.2 Market estimates and forecast, by service, 2018 - 2032
- 9.5.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.5.4 Market estimates and forecast, by enterprise size, 2018 - 2032
- 9.5.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.6 Brazil
  - 9.5.6.1 Market estimates and forecast, 2018 - 2032
  - 9.5.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.5.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.5.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.5.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.5.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.5.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.7 Mexico
  - 9.5.7.1 Market estimates and forecast, 2018 - 2032
  - 9.5.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.5.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.5.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.5.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.5.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.8 Argentina
  - 9.5.8.1 Market estimates and forecast, 2018 - 2032
  - 9.5.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.5.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.5.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.5.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.5.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.5.9 Colombia
  - 9.5.9.1 Market estimates and forecast, 2018 - 2032
  - 9.5.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.5.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.5.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.5.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.5.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.5.9.5 Market estimates and forecast, by application, 2018 - 2032
9.6 MEA
- 9.6.1 Market estimates and forecast, 2018 - 2032
- 9.6.2 Market estimates and forecast, by component, 2018 - 2032
  - 9.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 9.6.2.2 Market estimates and forecast, by service, 2018 - 2032
- 9.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
- 9.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
- 9.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.6 South Africa
  - 9.6.6.1 Market estimates and forecast, 2018 - 2032
  - 9.6.6.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.6.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.6.6.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.6.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.6.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.6.6.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.7 Saudi Arabia
  - 9.6.7.1 Market estimates and forecast, 2018 - 2032
  - 9.6.7.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.6.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.6.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.6.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.6.7.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.8 Israel
  - 9.6.8.1 Market estimates and forecast, 2018 - 2032
  - 9.6.8.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.6.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.6.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.6.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.6.8.5 Market estimates and forecast, by application, 2018 - 2032
- 9.6.9 UAE
  - 9.6.9.1 Market estimates and forecast, 2018 - 2032
  - 9.6.9.2 Market estimates and forecast, by component, 2018 - 2032
    - 9.6.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 9.6.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 9.6.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
  - 9.6.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
  - 9.6.9.5 Market estimates and forecast, by application, 2018 - 2032

Chapter 10 Company Profiles

10.1 Accenture PLC
- 10.1.1 Business Overview
- 10.1.2 Financial Data
- 10.1.3 Product Landscape
- 10.1.4 Strategic Outlook
- 10.1.5 SWOT Analysis
10.2 ACI Worldwide
- 10.2.1 Business Overview
- 10.2.2 Financial Data
- 10.2.3 Product Landscape
- 10.2.4 Strategic Outlook
- 10.2.5 SWOT Analysis
10.3 BAE Systems PLC
- 10.3.1 Business Overview
- 10.3.2 Financial Data
- 10.3.3 Product Landscape
- 10.3.4 Strategic Outlook
- 10.3.5 SWOT Analysis
10.4 CaseWare International Inc.
- 10.4.1 Business Overview
- 10.4.2 Financial Data
- 10.4.3 Product Landscape
- 10.4.4 Strategic Outlook
- 10.4.5 SWOT Analysis
10.5 Cognizant Technology Solutions Corporation
- 10.5.1 Business Overview
- 10.5.2 Financial Data
- 10.5.3 Product Landscape
- 10.5.4 Strategic Outlook
- 10.5.5 SWOT Analysis
10.6 Experian PLC
- 10.6.1 Business Overview
- 10.6.2 Financial Data
- 10.6.3 Product Landscape
- 10.6.4 Strategic Outlook
- 10.6.5 SWOT Analysis
10.7 Fair Isaac Corporation (FICO)
- 10.7.1 Business Overview
- 10.7.2 Financial Data
- 10.7.3 Product Landscape
- 10.7.4 Strategic Outlook
- 10.7.5 SWOT Analysis
10.8 Finacus Solutions Private Limited
- 10.8.1 Business Overview
- 10.8.2 Financial Data
- 10.8.3 Product Landscape
- 10.8.4 Strategic Outlook
- 10.8.5 SWOT Analysis
10.9 FIS, Inc.
- 10.9.1 Business Overview
- 10.9.2 Financial Data
- 10.9.3 Product Landscape
- 10.9.4 Strategic Outlook
- 10.9.5 SWOT Analysis
10.10 Fiserv Inc.
- 10.10.1 Business Overview
- 10.10.2 Financial Data
- 10.10.3 Product Landscape
- 10.10.4 Strategic Outlook
- 10.10.5 SWOT Analysis
10.11 Lexisnexis Risk Solutions Inc.
- 10.11.1 Business Overview
- 10.11.2 Financial Data
- 10.11.3 Product Landscape
- 10.11.4 Strategic Outlook
- 10.11.5 SWOT Analysis
10.12 Napier Technologies Limited
- 10.12.1 Business Overview
- 10.12.2 Financial Data
- 10.12.3 Product Landscape
- 10.12.4 Strategic Outlook
- 10.12.5 SWOT Analysis
10.13 Nelito Systems Ltd.
- 10.13.1 Business Overview
- 10.13.2 Financial Data
- 10.13.3 Product Landscape
- 10.13.4 Strategic Outlook
- 10.13.5 SWOT Analysis
10.14 NICE Actimize
- 10.14.1 Business Overview
- 10.14.2 Financial Data
- 10.14.3 Product Landscape
- 10.14.4 Strategic Outlook
- 10.14.5 SWOT Analysis
10.15 OpenText Corporation
- 10.15.1 Business Overview
- 10.15.2 Financial Data
- 10.15.3 Product Landscape
- 10.15.4 Strategic Outlook
- 10.15.5 SWOT Analysis
10.16 Oracle Corporation
- 10.16.1 Business Overview
- 10.16.2 Financial Data
- 10.16.3 Product Landscape
- 10.16.4 Strategic Outlook
- 10.16.5 SWOT Analysis
10.17 SAS Institute, Inc.
- 10.17.1 Business Overview
- 10.17.2 Financial Data
- 10.17.3 Product Landscape
- 10.17.4 Strategic Outlook
- 10.17.5 SWOT Analysis
10.18 Tata Consultancy Services Ltd. (TCS)
- 10.18.1 Business Overview
- 10.18.2 Financial Data
- 10.18.3 Product Landscape
- 10.18.4 Strategic Outlook
- 10.18.5 SWOT Analysis
10.19 Trulioo Information Services Inc.
- 10.19.1 Business Overview
- 10.19.2 Financial Data
- 10.19.3 Product Landscape
- 10.19.4 Strategic Outlook
- 10.19.5 SWOT Analysis
10.20 WorkFusion, Inc.
- 10.20.1 Business Overview
- 10.20.2 Financial Data
- 10.20.3 Product Landscape
- 10.20.4 Strategic Outlook
- 10.20.5 SWOT Analysis

Anti-Money Laundering (AML) Market Size By Component, By Deployment Model, By Organization Size, By Application, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032