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PUBLISHER: Juniper Research Ltd | PRODUCT CODE: 1438569

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PUBLISHER: Juniper Research Ltd | PRODUCT CODE: 1438569

Global Anti-money Laundering Systems Market: 2024-2028

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'Anti-money Laundering System Spend to Reach $51.7 Billion Globally by 2028; Accelerated by AI's Ability to Improve Risk Assessment & Reduce Costs'

KEY STATISTICS
Total spend in 2024:$28.7bn
Total spend in 2028:$51.7bn
2024 to 2028 market growth:81%
Forecast period:2024-2028

Overview

Our Anti-money Laundering Systems' research suite provides a detailed and insightful analysis of this evolving market; enabling stakeholders from financial institutions, law enforcement, regulatory agencies and technology vendors to understand future growth, key trends and the competitive environment.

The suite includes several different options that can be purchased separately, including access to data mapping adoption and future growth of the anti-money laundering systems market. The research is an insightful study uncovering the latest trends and opportunities within the market, and extensive analysis of the 16 market leaders in the fight against money laundering and terrorist financing. The coverage can also be purchased as a Full Research Suite, containing all of these elements, and including a substantial discount.

Collectively, these documents provide a critical tool for understanding this rapidly emerging market; allowing banks and technology vendors to shape their future strategy. Its unparalleled coverage makes this research suite an incredibly useful resource for charting the future of such an uncertain and rapidly growing market.

SAMPLE VIEW

Market Trends & Strategies Report

A comprehensive analysis of the current market landscape, alongside strategic recommendations.

Market Data & Forecasting Report

The numbers tell you what's happening, but our written report details why, alongside the methodologies.

Key Features

  • Market Dynamics: The banking market share research also includes a regional market growth analysis on the current development and segment growth of the anti-money laundering systems; an assessment of anti-money laundering regulation across key regions. Also provided are a future outlook of, and insights into, key trends and market expansion challenges within the AML (Anti-money Laundering) systems market. The research addresses challenges posed by the increase of online transactions and financial crimes, the potential benefits of increasing regulatory involvement, and an assessment of the many next-generation technological approaches to detect money laundering and suspicious activity detection. The AML systems market share research also includes a segment analysis on the AML systems market, identifying opportunities and challenges across 10 distinct industries.
  • Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and key findings within the AML systems market, accompanied by key strategic recommendations for stakeholders including financial institutions, regulatory bodies, law enforcement agencies and more.
  • Benchmark Industry Forecasts: The overview includes forecasts for total revenue for AML systems, split by consumer vs business use cases. Also included is the global spend on AML systems; split across 5 financial and 5 non-financial industry segments.
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 16 AML systems vendors, via the Juniper Research Competitor Leaderboard, featuring banking market size for major players in the banking industry.

Table of Contents

Market Trends & Strategies

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, 2024-2028
        • 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. 6th Anti-money Laundering Directive (EU)
        • Figure 2.7: 6ALM 22 Predicate Offenses
      • v. 5th Anti-money Laundering Directive (EU)
      • vi. Markets in Crypto Assets (EU)
      • vii. Law No. 6415 (Turkiye)
      • 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

Competitor Leaderboard

1. AML Systems - Competitor Leaderboard

  • 1.1.1. Why Read This Report
    • Key AML Systems Market Takeaways
    • Stakeholders Embrace Generative AI to Drive Innovation
    • Vendors Should Foster Collaboration with Data Providers
      • Table 1.1: Juniper Research Competitor Leaderboard AML Systems Vendors & Product Portfolio
      • Figure 1.2: Juniper Research Competitor Leaderboard for AML Systems Vendors
      • Table 1.3: Juniper Research Competitor Leaderboard Vendors and Positioning
      • Table 1.4: Juniper Research Competitor Leaderboard for AML Systems Heatmap
  • 1.2. AML Systems Vendor Profiles
    • 1.2.1. ComplyAdvantage
      • i. Corporate
        • Table 1.5: ComplyAdvantage's Investment Rounds ($m), 2016-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.2. Experian
      • i. Corporate
        • Table 1.6: Experian's Financial Snapshot ($m), 2021-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.3. Featurespace
      • i. Corporate
        • Table 1.7: Featurespace's Investment Rounds (USD $m) 2012-2020
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.4. Feedzai
      • i. Corporate
        • Table 1.8: Feedzai's Investment Rounds ($m), 2011-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 1.2.5. Fiserv
      • i. Corporate
        • Table 1.9: Fiserv's Financial Snapshot ($m), 2020-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.6. HAWK:AI
      • i. Corporate
        • Table 1.10: HAWK:AI's Investment Rounds ($m) 2021-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.7. LexisNexis Risk Solutions
      • i. Corporate
        • Table 1.11: RELX's Financial Snapshot ($m), 2021-2023
        • Table 1.12: Risk's Financial Snapshot ($m), 2022-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.8. Lucinity
      • i. Corporate
        • Table 1.13: Lucinity's Investment Rounds ($m), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.9. Napier AI
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 1.14: Lifecycle of Napier's Continuum Platform
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.10. NICE Actimize
      • i. Corporate
        • Table 1.15: NICE Actimize' Financial Performance ($m), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 1.16: NICE Actimize X-Sight Entity Risk Platform
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.11. Oracle Financial Services
      • i. Corporate
        • Table 1.17: Oracle's Acquisition History from 2021 to Present
        • Table 1.18: Oracle's Financial Snapshot ($m), 2019-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.12. Quantifind
      • i. Corporate
        • Table 1.19: Quantifind's Investment Rounds ($m), 2011-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 1.20: Quantifind Solution Ecosystem
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.13. Salv
      • i. Corporate
        • Table 1.21: Salv's Investment Rounds ($m) 2019-2023
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 1.22: Salv's Core Infrastructure
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.14. SAS Institute
      • i. Corporate
        • Table 1.23: SAS Institute's Acquisition History from 2011-Present
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.15. Silent Eight
      • i. Corporate
        • Table 1.24: Silent Eight's Investment Rounds ($m), 2012-2022
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
    • 1.2.16. SymphonyAI Sensa
      • i. Corporate
        • Table 1.25: SymphonyAyasdiAI's Investment Rounds, 2012-2015
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offering
        • Figure 1.26: Sensa Copilot Suspicious Activity Workflow
      • v. Juniper Research's View: Key Strength & Strategic Development Opportunities
  • 1.3. Juniper Research Competitor Leaderboard Assessment Methodology
  • 1.4. Limitations & Interpretation
    • Table 1.27: Juniper Research Competitor Leaderboard Scoring Criteria: AML Systems

Data & Forecasting

1. Market Forecast

  • 1.1. Introduction
    • 1.1.1. Methodology & Assumptions
      • Figure 1.1: AML Systems Forecast Methodology for Financial Businesses (Banks, Fintechs, Insurance, Investment, and Lending)
      • Figure 1.2: AML Systems Forecast Methodology for Professional and Other Businesses (Gaming & Gambling, Public Sector, Non-profit, Real Estate, and Legal)

2. Global AML Systems Forecast

  • 2.1. Global AML System Market
    • 2.1.1. Number of Businesses Using Third-party AML Systems
      • Figure & Table 2.1: Total Number of Businesses Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
    • 2.1.2. Total Spend on Third-party AML Systems
      • Figure & Table 2.2: Total Spend on Third-party AML Systems per annum ($m), Split by 8 Key Regions, 2023-2028

3. Financial Businesses Global AML Systems Forecast

  • 3.1.1. Total Number of Financial Businesses Using Third-party AML systems
    • Figure & Table 3.1: Total Number of Financial Businesses Using Third-party AML Systems, Split by 8 Key Regions, 2023-2028
    • Table 3.2: Total Number of Financial Businesses Using Third-party AML Systems per annum, Split by Industry, 2024-2028
  • 3.1.2. Total Spend on Third-party AML Systems by Financial Businesses
    • Figure & Table 3.3: Total Spend on Third-party AML Systems by Financial Businesses per annum ($m), Split by 8 Key Regions, 2023-2028
    • Table 3.4: Total Spend on Third-party AML Systems by Financial Businesses per annum ($m), Split by Industry, 2023-2028
  • 3.1.3. Total Number of Banks Using Third-party AML Systems
    • Figure & Table 3.5: Total Number of Banks Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 3.1.4. Total Spend on Third-party AML Systems in the Banking Industry
    • Figure & Table 3.6: Total Spend Third-party AML Systems in the Banking Industry per annum ($m), Split by 8 Key Regions, 2023-2028
  • 3.1.5. Total Number of Fintechs Using Third-party AML Systems
    • Figure & Table 3.7: Total Number of Fintechs Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 3.1.6. Total Spend on Third-party AML Systems in the Fintech Industry
    • Figure & Table 3.8: Total Spend Third-party AML Systems in the Fintech Industry per annum ($m), Split by 8 Key Regions, 2023-2028
  • 3.1.7. Total Number of Insurance Using Third-party AML Systems
    • Figure & Table 3.9: Total number of Insurance Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 3.1.8. Total Spend on Third-party AML Systems in the Insurance Industry
    • Figure & Table 3.10: Total Spend on Third-party AML Systems in the Insurance Industry per annum ($m), Split by 8 Key Regions, 2023-2028
  • 3.1.9. Total Number of Investment Companies Using Third-party AML Systems
    • Figure & Table 3.11: Total number of Investment Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 3.1.10. Total Spend on Third-party AML Systems in the Investment Industry
    • Figure & Table 3.12: Total Spend on Third-party AML Systems in the Investment Industry per annum ($m), Split by Region, 2023-2028
  • 3.1.11. Total Number of Lending Companies Using Third-party AML Systems
    • Figure & Table 3.13: Total number of Lending Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 3.1.12. Total Spend on Third-party AML Systems in the Lending Industry
    • Figure & Table 3.14: Total Spend Third-party AML Systems in the Lending Industry per annum ($m), Split by 8 Key Regions, 2023-2028

4. Professional Services and Other Businesses Global AML Systems Forecast

  • 4.1.1. Total Number of Professional and Other Businesses Using Third-party AML Systems
    • Figure & Table 4.1: Total Number of Professional and Other Businesses Using Third-party AML Systems, Split by 8 Key Regions, 2023-2028
    • Table 4.2: Total Number of Professional and Other Businesses Using Third-party AML Systems, Split by Segment, 2023-2028
  • 4.1.2. Total Spend on Third-party AML Systems by Professional and Other Businesses
    • Figure & Table 4.3: Total Spend on Third-party AML Systems by Professional and Other Businesses ($m), Split by 8 Key Regions, 2023-2028
    • Table 4.4: Total Spend on Third-party AML Systems by Professional and Other Businesses ($m), Split by Segment, 2023-2028
  • 4.1.3. Total Number of Gaming & Gambling Companies Using Third-party AML Systems
    • Figure & Table 4.5: Total Number of Gaming & Gambling Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 4.1.4. Total Spend on Third-party AML Systems in the Gaming & Gambling Industry
    • Figure & Table 4.6: Total Spend Third-party AML Systems in the Gaming & Gambling Industry per annum ($m), Split by 8 Key Regions, 2023-2028
  • 4.1.5. Total Number of Public Sector Companies Using Third-party AML Systems
    • Figure & Table 4.7: Total Number of Public Sector Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 4.1.6. Total Spend on Third-party AML Systems in the Public Sector
    • Figure & Table 4.8: Total Spend on Third-party AML Systems in the Public Sector per annum ($m), Split by 8 Key Regions, 2023-2028
  • 4.1.7. Total Number of Non-profit Companies Using Third-party AML Systems
    • Figure & Table 4.9: Total Number of Non-profit Companies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 4.1.8. Total Spend on Third-party AML Systems in the Non-profit Sector
    • Figure & Table 4.10: Total Spend on Third-party AML Systems in the Non-profit Sector per annum ($m), Split by 8 Key Regions, 2023-2028
  • 4.1.9. Total Number of Real Estate Agencies Using Third-party AML Systems
    • Figure & Table 4.11: Total Number of Real Estate Agencies Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 4.1.10. Total Spend on Third-party AML Systems in the Real Estate Sector
    • Figure & Table 4.12: Total Spend on Third-party AML Systems in the Real Estate Sector per annum ($m), Split by Region, 2023-2028
  • 4.1.11. Total Number of Law Firms Using Third-party AML Systems
    • Figure & Table 4.13: The Total Number of Law firms Using Third-party AML Systems per annum, Split by 8 Key Regions, 2023-2028
  • 4.1.12. Total Spend on Third-party AML Systems in the Legal Sector
    • Figure & Table 4.14: Total Spend Third-party AML Systems in the Legal Sector annum ($m), Split by 8 Key Regions, 2023-2028
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