反洗钱：全球市占率（2022 年）

预计到 2027 年，全球反洗钱 (AML) 市场将以 14.20% 的复合年增长率成长。

世界各国洗钱活动的增加是由于潜在市场的乐观成长。 加密货币使用的增加和网路的便利性是导致全球洗钱案件增加的两个主要因素。 金融服务和银行， 传统系统难以遵守 BSA、FinCEN、Fourth AMLD、Fifth AMLD、香港金融管理局 (HKMA) 和新加坡金融管理局 (MAS) 等法规，导致截止日期和流程有限，这对整体产生负面影响延迟。 数位转型 (DX) 和新兴技术带来的挑战更加复杂，金融犯罪的频率和复杂性不断增加，助长了洗钱活动的激增。

即使有了反洗钱解决方案，网路攻击（网路钓鱼、银行卡诈欺、加密货币诈欺、窃取、身分诈欺、洗钱、投资基金诈欺、恐怖主义融资、违反制裁行为等）的增加也越来越难以及早识别。 银行正在采用各种程序和技术解决方案来遵守反洗钱法规，将 KYC 资料和系统整合到单一储存库中。 金融犯罪变得更加频繁和复杂，加剧了数位转型和新兴技术带来的挑战，并助长了洗钱活动的急剧增加。 随着更加复杂的合规性的出现，金融机构面临保护其资产的挑战。 金融机构内部缺乏强而有力的合规性是反洗钱领域的主要挑战之一。

为了应对这些挑战，金融机构正在寻求金融科技供应商实施反洗钱解决方案，以检测和减少传统和数位洗钱活动。 供应商正在提供由 AI、ML 和 RPA 等先进技术支援的复杂技术，以提高 AML 解决方案的有效性和合法性。 利用科技进步从客户入职开始，一直到诈欺侦测、监控、分析、警报、案例报告和可疑交易标记。

反洗钱 (AML) 解决方案可帮助金融机构和政府机构监控和分析客户资料和交易，检测、预防和报告可疑洗钱活动，并提高反洗钱合规性。 现代反洗钱解决方案使用先进的分析、人工智慧和机器学习来预测潜在的诈欺行为，并进一步加强组织的反洗钱合规工作。

金融机构和金融科技供应商越来越多地寻求合作打击诈欺和洗钱活动。 为了打击世界各地复杂的全面诈欺行为，金融机构和银行正在共同努力分享有关金融犯罪的数据和资讯。 此外，加密货币的新趋势及其参与基于交易的洗钱（TBML）等诈欺活动正在加强政府当局和监管机构对所有处理加密货币和虚拟资产的机构的审查。 人工智慧、机器学习、RPA、进阶分析和区块链等技术正在彻底改变金融格局。 金融机构正在采用创新技术，并将智慧自动化、人工智慧和机器学习整合到反洗钱合规解决方案中，以满足客户和监管机构的要求。

本报告分析了全球反洗钱 (AML) 市场的份额结构，概述了解决方案、市场的基本结构以及按实施方法、地区、行业和公司类型划分的份额结构。我们将编制并提供诸如为行业利益相关者提供建议等资讯。

目录

第1章分析概论

• 竞争前景（2023 年）
• 主要分析结果及结论

第2章市场概述

• 市场定义和范围
• 收入类型
• 分析目标区域
• 分析目标产业

第3章市占率分析

• 市占率：整个市场
• 市占率：依实施方法划分
  • 云
  • 本地
• 市占率：依地区划分
  • 加拿大
  • 中欧和东欧
  • 日本
  • 拉丁美洲
  • 中东/非洲
  • 美国
  • 西欧
  • 亚洲（不包括日本和中国）(AxJC)
  • 中国
• 市占率：依产业划分
  • 银行/金融服务
  • 电子/通讯
  • 零售/电子商务
  • 专业服务
  • 医疗/生命科学
  • 製造业
  • 媒体娱乐
  • 政府/公部门
  • 教育
  • 能源/公用事业/其他
  • 其他
• 市场占有率：依客户类型划分
  • 中小企业
  • 大型公司

第 4 章分析师的建议

第5章附录

Quadrant Knowledge Solutions Reveals that Anti-Money Laundering Market is Projected to Register a CAGR of 14.20% by 2027.

The global increase in instances of money laundering is due to the optimistic growth of the potential market. The growing use of virtual currencies and the accessibility of the internet are two major factors contributing to the increase in money laundering incidents around the world. Financial services and banks are grappling with adhering to regulations such as BSA, FinCEN, Fourth AMLD, Fifth AMLD, Hong Kong Monetary Authority (HKMA), Monetary Authority of Singapore (MAS), and more with their legacy systems, thereby adversely impacting meeting deadlines and slowing the overall process. To further add to the woes driven by digital transformation and emerging technologies, financial crimes are increasing in frequency and complexity, fuelling a rapid rise in money laundering activities.

Even with the use of AML solutions, it is getting more challenging to identify frauds earlier due to the rise in cyberattacks, including phishing, card fraud, crypto scams, skimming, identity fraud, money laundering, investment fund fraud, terrorist funding, and sanctions violation. Banks employ a variety of procedures and technological solutions to comply with AML regulations, which combine KYC data and systems into a single repository Financial crimes are becoming more frequent and complex, which is aggravating the problems brought on by digital transformation and emerging technologies and fuelling a sharp increase in money laundering activities. As more complex compliance emerges, financial organizations face the problem of safeguarding their assets. The absence of robust compliance within financial institutions is one of the main challenges in the AML sector.

To combat these challenges, organizations are turning to Fintech vendors and embracing anti-money laundering solutions to detect and mitigate conventional and digital money laundering activities. The vendors are offering sophisticated technologies powered, backed up by sophisticated technologies such as AI, ML, and RPA to boost the effectiveness and legitimacy of AML solutions. The utilization of technology advances starts with customer onboarding and continues through fraud detection, monitoring, investigation, alert triggering, case reporting, and flagging questionable transactions.

Anti-Money Laundering (AML) solutions help financial institutions and government organizations to monitor and analyse customer data and transactions to detect, prevent, and report suspicious money laundering activities and improve AML compliance. Modern AML solutions use advanced analytics, artificial intelligence, and machine learning to predict potentially fraudulent activities to further strengthen the organization's AML compliance readiness.

FIs and FinTech vendors are increasingly looking forward to collaborating in the journey to fight against fraud and money laundering activities. To battle against the sophisticated and integrated frauds across the globe, FIs and banks are collaborating to share data and intelligence on financial crime. Also, Due to emerging trends of cryptocurrency and its involvement in trade-based money laundering (TBML) and other fraud activities, government authorities and regulators have increased their focus on all institutions dealing with cryptocurrency and virtual assets. Technologies such as AI, ML, RPA, advanced analytics, and blockchain have completely metamorphosized the financial landscape. FIs are adopting innovative technologies and integrating intelligent automation, AI, and ML into their AML compliance solutions to fulfill both customers' and regulators' requirements.

Table of Contents

Chapter 01: Research Summary

• 2023 Competition Outlook
• Top Research Findings and Key Takeaways

Chapter 02: Market Overview

• Market Definition and Scope
• Revenue Type
• Geographical Regions
• Industry Verticals

Chapter 03: Market Share Analysis

• Market Share by Total Market
• Market Share by Deployment Type
  • Cloud
  • On-Premises
• Market Share by Geographical Regions
  • Canada
  • Central & Eastern Europe
  • Japan
  • Latin America
  • Middle East & Africa
  • USA
  • Western Europe
  • Asia Ex-Japan China (AxJC)
  • China
• Market Share by Industry Verticals
  • Banking and Financial Services
  • Electronics & Telecom
  • Retail and eCommerce
  • Professional Services
  • Healthcare and Life Sciences
  • Manufacturing
  • Media & Entertainment
  • Government and Public Sectors
  • Education
  • Energy & Utility Others
  • Others
• Market Share by Customer Types
  • SMB
  • Large
  • Enterprise

Chapter 04: Analyst Recommendations

• Analyst Recommendations

Chapter 05: Appendix

• Research Methodologies

List of Tables

• Table 1 : Market Share, Total Market, Worldwide
• Table 2 : Market Share By Deployment Type, Worldwide
• Table 3 : Market Share By Geographical Regions, USA
• Table 4 : Market Share By Geographical Regions, Canada
• Table 5 : Market Share By Geographical Regions, Latin America
• Table 6 : Market Share By Geographical Regions, Western Europe
• Table 7 : Market Share By Geographical Regions, Central & Eastern Europe
• Table 8 : Market Share By Geographical Regions, MEA
• Table 9 : Market Share By Geographical Regions, Asia ex. JPC
• Table 10 : Market Share By Geographical Regions, Japan
• Table 11 : Market Share By Geographical Regions, China
• Table 12 : Market Share By Industry Vertical 1, Worldwide
• Table 13 : Market Share By Industry Vertical 2, Worldwide
• Table 14 : Market Share By Industry Vertical 3, Worldwide
• Table 15 : Market Share By Industry Vertical 4, Worldwide
• Table 16 : Market Share By Industry Vertical 5, Worldwide
• Table 17 : Market Share By Industry Vertical 6, Worldwide
• Table 18 : Market Share By Industry Vertical 7, Worldwide
• Table 19 : Market Share By Industry Vertical 8, Worldwide

List of Figures

• Fig. 1 Market Share of Anti Money Laundering, Worldwide, 2022
• Fig. 2 Market Share of Anti Money Laundering, USA, 2022
• Fig. 3 Market Share of Anti Money Laundering, Canada, 2022
• Fig. 4 Market Share of Anti Money Laundering, Latin America, 2022
• Fig. 5 Market Share of Anti Money Laundering, Western Europe, 2022
• Fig. 6 Market Share of Anti Money Laundering, Central & Eastern Europe, 2022
• Fig. 7 Market Share of Anti Money Laundering, Middle East & Africa, 2022
• Fig. 8 Market Share of Anti Money Laundering, Asia excluding Japan and China, 2022
• Fig. 9 Market Share of Anti Money Laundering, Japan, 2022
• Fig. 10 Market Share of Anti Money Laundering, China, 2022
• Fig. 11 Market Share of Anti Money Laundering, IT & Telecom Industry, 2022
• Fig. 12 Market Share of Anti Money Laundering, Banking & Financial Services Industry, 2022
• Fig. 13 Market Share of Anti Money Laundering, Insurance Industry, 2022
• Fig. 14 Market Share of Anti Money Laundering, Healthcare Industry, 2022
• Fig. 15 Market Share of Anti Money Laundering, Government & Public Sector, 2022
• Fig. 16 Market Share of Anti Money Laundering, Retail & eCommerce, 2022
• Fig. 17 Market Share of Anti Money Laundering, Manufacturing, 2022
• Fig. 18 Market Share of Anti Money Laundering, Hospitality, 2022
• Fig. 19 Market Share of Anti Money Laundering, On-premises Deployment, 2022
• Fig. 20 Market Share of Anti Money Laundering, Cloud Deployment, 2022
• Fig. 21 Market Share of Anti Money Laundering, SMB Customers, 2022
• Fig. 22 Market Share of Anti Money Laundering, Large Customers, 2022
• Fig. 23 Market Share of Anti Money Laundering, Enterprise Customers, 2022