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市場調查報告書
商品編碼
1445887

反洗錢：全球市佔率（2022 年）

Global Market Share: Anti-Money Laundering, 2022
出版日期: | 出版商: QKS Group | 英文 39 Pages | 商品交期: 最快1-2個工作天內

價格

預計到 2027 年，全球反洗錢 (AML) 市場將以 14.20% 的複合年增長率成長。

世界各國洗錢活動的增加是由於潛在市場的樂觀成長。 加密貨幣使用的增加和網路的便利性是導致全球洗錢案件增加的兩個主要因素。 金融服務和銀行， 傳統系統難以遵守 BSA、FinCEN、Fourth AMLD、Fifth AMLD、香港金融管理局 (HKMA) 和新加坡金融管理局 (MAS) 等法規，導致截止日期和流程有限，這對整體產生負面影響延遲。 數位轉型 (DX) 和新興技術帶來的挑戰更加複雜，金融犯罪的頻率和複雜性不斷增加，助長了洗錢活動的激增。

即使有了反洗錢解決方案，網路攻擊（網路釣魚、銀行卡詐欺、加密貨幣詐欺、竊取、身分詐欺、洗錢、投資基金詐欺、恐怖主義融資、違反制裁行為等）的增加也越來越難以及早識別。 銀行正在採用各種程序和技術解決方案來遵守反洗錢法規，將 KYC 資料和系統整合到單一儲存庫中。 金融犯罪變得更加頻繁和複雜，加劇了數位轉型和新興技術帶來的挑戰，並助長了洗錢活動的急劇增加。 隨著更加複雜的合規性的出現，金融機構面臨保護其資產的挑戰。 金融機構內部缺乏強而有力的合規性是反洗錢領域的主要挑戰之一。

為了應對這些挑戰，金融機構正在尋求金融科技供應商實施反洗錢解決方案，以檢測和減少傳統和數位洗錢活動。 供應商正在提供由 AI、ML 和 RPA 等先進技術支援的複雜技術，以提高 AML 解決方案的有效性和合法性。 利用科技進步從客戶入職開始，一直到詐欺偵測、監控、分析、警報、案例報告和可疑交易標記。

反洗錢 (AML) 解決方案可幫助金融機構和政府機構監控和分析客戶資料和交易，檢測、預防和報告可疑洗錢活動，並提高反洗錢合規性。 現代反洗錢解決方案使用先進的分析、人工智慧和機器學習來預測潛在的詐欺行為，並進一步加強組織的反洗錢合規工作。

金融機構和金融科技供應商越來越多地尋求合作打擊詐欺和洗錢活動。 為了打擊世界各地複雜的全面詐欺行為，金融機構和銀行正在共同努力分享有關金融犯罪的數據和資訊。 此外，加密貨幣的新趨勢及其參與基於交易的洗錢（TBML）等詐欺活動正在加強政府當局和監管機構對所有處理加密貨幣和虛擬資產的機構的審查。 人工智慧、機器學習、RPA、進階分析和區塊鏈等技術正在徹底改變金融格局。 金融機構正在採用創新技術，並將智慧自動化、人工智慧和機器學習整合到反洗錢合規解決方案中，以滿足客戶和監管機構的要求。

本報告分析了全球反洗錢 (AML) 市場的份額結構，概述了解決方案、市場的基本結構以及按實施方法、地區、行業和公司類型劃分的份額結構。我們將編制並提供諸如為行業利益相關者提供建議等資訊。

目錄

第1章分析概論

  • 競爭前景（2023 年）
  • 主要分析結果及結論

第2章市場概述

  • 市場定義和範圍
  • 收入類型
  • 分析目標區域
  • 分析目標產業

第3章市佔率分析

  • 市佔率：整個市場
  • 市佔率：依實施方法劃分
    • 雲
    • 本地
  • 市佔率：依地區劃分
    • 加拿大
    • 中歐和東歐
    • 日本
    • 拉丁美洲
    • 中東/非洲
    • 美國
    • 西歐
    • 亞洲（不包括日本和中國）(AxJC)
    • 中國
  • 市佔率：依產業劃分
    • 銀行/金融服務
    • 電子/通訊
    • 零售/電子商務
    • 專業服務
    • 醫療/生命科學
    • 製造業
    • 媒體娛樂
    • 政府/公部門
    • 教育
    • 能源/公用事業/其他
    • 其他
  • 市場佔有率：依客戶類型劃分
    • 中小企業
    • 大型公司

第 4 章分析師的建議

第5章附錄

Product Code: QKS-02330

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