
Global Anti-money Laundering Systems Market 2024-2028: Market Trends & Strategies
Description
This report examines the Anti-money Laundering Systems’ market landscape in detail; assessing market trends and factors shaping the evolution of this rapidly growing market. The report delivers comprehensive analysis of the strategic opportunities for AML systems providers; addressing challenges posed by the increase in online financial crimes and illicit activities, the development and revision of anti-money laundering laws across key regions, and an assessment of the many next‑generation technological approaches to detect suspicious transactions, anti-money laundering activities and the financing of terrorism.
Please note: the online download version of this report is for a global site license.
Please note: the online download version of this report is for a global site license.
Table of Contents
49 Pages
- 1. Key Takeaways & Strategic Recommendations
- 1.1 Key Takeaways
- 1.2 Strategic Recommendations
- 2. Market Landscape
- 2.1 Introduction
- 2.1.1 The History of Anti-money Laundering
- 2.1.2 The Current Landscape
- i. AML
- Figure 2.1: Global Spend on Third-party AML Systems ($), Split by Region, 2024-
- Figure 2.2: Anti-money Laundering Systems Market Landscape
- Figure 2.3: Factors Determining Customers Potential Risk Level
- ii. KYC
- Figure 2.4: AML Umbrella
- iii. KYB
- Figure 2.5: Know Your Business Requirements
- 2.1.3 Transaction Screening
- 2.1.4 The Current Regulatory Framework
- Figure 2.6: Dynamic AML Regulations across Juniper Research’s 8 Key Regions
- i. National Strategy for Combating Illicit Financing and the Responsible Financial Innovation Act (US)
- ii. The Responsible Financial Innovation Act (US)
- iii. Responsible Development of Digital Assets Executive Order (US)
- iv. 6t h Anti-money Laundering Directive (EU)
- Figure 2.7: 6A LM 22 Predicate Offenses
- v. 5t h Anti-money Laundering Directive (EU)
- vi. Markets in Crypto Assets (EU)
- vii. Law No. 6415 (Türkiye)
- viii. Chinese Three-year Action Plan (China)
- ix. The Prevention of Money Laundering 2002 (India)
- x. MAS Notice 626 (Singapore)
- xi. Guidance Rules for Digital Assets (UAE)
- 2.2 Drivers
- 2.2.1 Rising Levels of Online Crime and Money Mulling
- Figure 2.8: Organised Crime Groups and Mule Networks Cycle
- 2.2.2 Regulatory Pressures
- 2.2.3 Costs to Businesses
- Figure 2.9: Global Fines for AML and Related Issues Surge Post Crisis
- 2.3 Challenges with Adopting AML Systems
- 2.3.1 Rigid Processes
- Figure 2.10: Financial Institutions Challenges
- 2.3.2 High Expectations of Regulators and Customers
- 2.3.3 Lack of In-house Expertise and Increasing Costs
- 3. Applying Criminal Behaviour to AML Technology
- 3.1 Money Laundering Definitions and Controls
- Figure 3.1: Anti-money Laundering Controls
- 3.1.1 Money Laundering and Terrorist Funding Typologies
- Figure 3.2: Illicit Industries’ Median Market Value ($bn)
- Figure 3.3: Common Money Laundering and Terrorist Financing Typologies
- i. Smurfing
- ii. Money Muling
- iii. Shell Corporations
- iv. Trade-based Laundering
- v. Bank Capture
- vi. Cash-intensive Businesses
- vii. Round-tipping
- viii. Understanding Money Laundering Typologies
- 3.1.2 Money Laundering in the Digital Age
- i. Cryptocurrencies
- ii. Online Gaming and Gambling
- iii. Proxy Servers and Anonymising Software
- iv. Romance Fraud
- v. Job Scamming
- vi. Dark Web and Encryption
- vii. Evolving Digital Techniques
- 3.2 Technological Infrastructure
- 3.2.1 Artificial Intelligence and Analytics
- i. Generative AI
- Figure 3.5: Generative AI AML Capabilities
- ii. Behavioural Analytics
- iii. Natural Language Processing
- iv. Extract, Transform, Load
- v. Predictive Analytics
- 3.2.2 DLT and Blockchain
- Figure 3.6: Blockchain Use Cases for AML & KYC
- Figure 3.7: Smartphone Biometrics
- 3.2.4 Cloud Computing
- 3.3 Assessment of AI
- Figure 3.8: Americans Attitudes towards AI Use
- Figure 3.9: Bias in AI
- 3.3.1 Conclusions
- 4. Segment Analysis: Industry Applications for AML Systems
- 4.1 Industry Applications for AML Systems
- Figure 4.1: AML Systems 10 High-potential Industry Segments
- 4.1.1 Banking
- i. Opportunities
- ii. Challenges
- 4.1.2 Fintech
- i. Opportunities
- ii. Challenges
- 4.1.3 Gaming & Gambling
- i. Opportunities
- ii. Challenges
- 4.1.4 Insurance
- i. Opportunities
- ii. Challenges
- 4.1.5 Investment
- i. Opportunities
- ii. Challenges
- 4.1.6 Lending
- i. Opportunities
- ii. Challenges
- 4.1.7 Public Sector
- i. Opportunities
- ii. Challenges
- 4.1.8 Non-profit
- i. Opportunities
- ii. Challenges
- 4.1.9 Real Estate
- i. Opportunities
- ii. Challenges
- 4.1.10 Legal
- i. Opportunities
- ii. Challenges
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