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全球反洗钱市场——市场规模、份额、趋势分析、机会、预测报告：按类型、部署模式、组织规模、最终用户、地区（2019-2029）
市场调查报告书
商品编码
1186478

全球反洗钱市场——市场规模、份额、趋势分析、机会、预测报告：按类型、部署模式、组织规模、最终用户、地区（2019-2029）

Anti-Money Laundering Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Type ; By Deployment Mode ; By Organization Size ; By End User ; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 220 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2022 年全球反洗钱市场规模预计为 29 亿美元，在 2023 年至 2029 年的预测期内以 15.5% 的复合年增长率显着增长，到 2029 年将达到 78 亿美元，预计规模将达到推动市场增长的关键因素包括对反洗钱的兴趣增加、对组织遵守严格监管要求的要求增加以及非现金交易量增加。另一方面，技术复杂性和高初始成本预计会阻碍市场增长。

该报告考察了全球反洗钱市场，按类型、部署方式、组织规模、最终用户和地区提供了市场概况、市场规模和预测、趋势、驱动因素和製约因素。它提供了全面的信息，例如单独的分析和公司简介。

目录

第一章研究框架

第二章内容提要

第三章全球反洗钱市场洞察

  • 行业价值链分析
    • DROC分析
    • 增长动力
      • 洗钱事件增加
      • 组织越来越需要遵守严格的监管要求
      • 非现金交易增加
    • 抑製剂
      • 技术复杂性增加
    • 机会
      • 越来越多地采用基于云的反洗钱解决方案来打击金融犯罪
      • 在 AML 中越来越多地采用高级分析
    • 任务
      • 可用于风险评估的有限数据
  • 技术进步/最新发展
  • 监管框架
  • 波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争强度

第四章全球反洗钱市场概况

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
      • 解决方案
      • 服务
    • 按部署方式
      • 云
      • 本地
    • 按组织规模
      • 大公司
      • 中小企业
    • 按最终用户
      • 银行和其他金融机构
      • 保险公司
      • 游戏/赌博事业部
    • 按地区
      • 北美
      • 欧洲
      • 亚太地区
      • 拉丁美洲
      • 中东/非洲

第五章北美反洗钱市场

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家
      • 美国
      • 加拿大

第六章欧洲反洗钱市场

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家
      • 德国
      • 英国
      • 意大利
      • 法国
      • 西班牙
      • 荷兰
      • 比利时
      • 北欧国家
      • 欧洲其他地区

第七章亚太反洗钱市场

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳大利亚/新西兰
      • 印度尼西亚
      • 马来西亚
      • 新加坡
      • 菲律宾
      • 越南
      • 亚太其他地区

八、拉丁美洲反洗钱市场

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 哥伦比亚
      • 其他拉丁美洲

第九章中东和非洲反洗钱市场

  • 市场规模及预测（2019-2029）
    • 按金额
  • 市场份额及预测
    • 按类型
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家
      • 沙特阿拉伯
      • 阿拉伯联合酋长国
      • 卡塔尔
      • 科威特
      • 南非
      • 尼日利亚
      • 埃及
      • 其他中东/非洲

第10章竞争格局

  • 主要公司及其产品列表
  • 2022 年全球反洗钱公司市场份额分析
  • 按操作参数进行竞争性基准测试
  • 重大战略发展（合併、收购、合作等）

第 11 章 COVID-19 对全球反洗钱市场的影响

第十二章公司概况（公司概况、财务矩阵、竞争格局、关键人才、主要竞争对手、联繫人、战略展望、SWOT分析）

  • Nice Actimize
  • SAS Institute Inc.
  • BAE Systems
  • FICO
  • ACI Worldwide
  • Oracle
  • Experian
  • Fiserv
  • LexisNexis
  • FIS
  • Nelito Systems
  • Wolters Kluwer Financial Services, Inc
  • Comarch Sa（Comarch）
  • Allsec Technologies Ltd.
  • Dixtior
  • Temenos
  • TCS
  • ComplyAdvantage
  • Featurespace
  • 其他龙头企业

第 13 章关键战略建议

第十四章研究方法论

简介目录
Product Code: BWC23035

Global Anti-Money Laundering (AML) Market Size Set to Cross USD 7.8 billion by 2029.

Global anti-money laundering market is flourishing because of an increasing focus on the prevention of money laundering activities, growing requirement for organizations to comply with stringent regulatory requirements, and rising volume of non-cash transactions.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global anti-money laundering (AML) market size at USD 2.9 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects the global anti-money laundering market size to grow at an impressive CAGR of 15.5% reaching a value of USD 7.8 billion by 2029. Major factors for the expansion of global anti-money laundering market include increasing money laundering cases across the globe, increasing need for organizations to comply with stringent regulatory requirements, and rising volume of non- cash transactions. Also, monetary fines, regulatory sanctions, and reputational loss due to non-compliance with regulations, rising attention towards digital payments, and necessity to build a 360-degree picture of data in the financial landscape. Increased spending on information technology (IT) is increasing demand for AML solutions. Therefore, all these factors are expected to boost the expansion of global anti-money laundering market during period in analysis. However, increasing technology complexities and high initial cost are anticipated to hinder the growth of global anti-money laundering market during the period in analysis.

Global Anti-Money Laundering Market - Overview

Anti-Money Laundering (AML) is a set of regulations, processes, and technologies meant to prevent cash from being laundered. It is used to track potentially fraudulent actions within government networks and large financial institutions. Money laundering is the concealment of illegally obtained funds as originating from a legitimate source. It entails "cleaning" the funds via a series of economic transactions. Money, for example, may be placed in a firm and disguised as sales revenue to conceal its source. Money laundering is illegal in and of itself: Anti-Money Laundering Controls- Incarceration Several governments, financial institutions, and businesses are taking steps to combat money laundering. The first is state-sponsored criminality. The United Nations Convention against Transnational Organized Crime established rules to aid countries in prosecuting individuals involved in money laundering schemes. Get to know your customers - Financial institutions must also have "know your customer" (KYC) measures in place in order to combat money laundering. This requires monitoring clients' behavior and recognizing the types of transactions that may raise red flags. Any suspicious behavior by a financial institution must be reported to a financial investigative unit. Record Management and Filtering Software- Financial institutions and organizations also keep detailed transaction records and employ software that detects suspicious behavior. Customer data can be classified into different levels of suspicion, and transactions can be refused if certain criteria are satisfied.

Impact of COVID -19 on Global Anti-Money Laundering Market

The COVID-19 has boosted market growth due to an increase in online sales and the increased use of online payment options. In recent days, the surge in non-cash transfers via internet payments, prepaid cards, and mobile payments has provided new avenues for money laundering. The fast speed with which transactions can be completed, along with minimal face-to-face interaction between the person initiating the transaction and the service provider, has made these relatively new payment systems more vulnerable to money laundering activities. This necessitates that financial institutions rigorously monitor all of their transactions in order to mitigate money laundering operations and avoid the penalties imposed by regulatory organizations.

Global Anti-Money Laundering Market - By Deployment Mode

Based on deployment mode, Global anti-money laundering market is split into Cloud and On-Premises. The on-premises segment is expected to hold the highest market share during the forecast period due to due to the increasing necessity for a secured deployment strategy that offers tighter control over clients' financial data. On-premises implementation is chosen over cloud deployment because it provides higher levels of safety and security. On-premises servers are used by financial institutions to achieve complete control over safety and security. On-premises servers are used by 76% of enterprises worldwide. Servers enable the creation of appropriate user policies, the installation of firewalls to protect against cyber-attacks, and the proper installation of antivirus software and security upgrades to protect against malicious network traffic. These factors are projected to fuel the segment's market revenue growth throughout the forecast period.

Competitive Landscape:

Major players operating in Global anti-money laundering market include: Nice Actimize, SAS Institute Inc., BAE Systems, FICO, ACI Worldwide, Oracle, Experian, Fiserv, LexisNexis, FIS, Nelito Systems, Wolters Kluwer Financial Services, Inc, Comarch Sa (Comarch), Allsec Technologies Ltd., Dixtior, Temenos, TCS, ComplyAdvantage, and Featurespace. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Anti-Money Laundering Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Anti-Money Laundering Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Anti-Money Laundering Market Insights

  • 3.1. Industry Value Chain Analysis
    • 3.1.1. DROC Analysis
    • 3.1.2. Growth Drivers
      • 3.1.2.1. Rising Number of Money Laundering Cases
      • 3.1.2.2. Increasing Need for Organizations to Comply with Stringent Regulatory Requirements
      • 3.1.2.3. Rising Volume of Non- Cash Transactions
    • 3.1.3. Restraints
      • 3.1.3.1. Increased Technological Complexities
    • 3.1.4. Opportunities
      • 3.1.4.1. Rising Adoption of Cloud Based AML Solutions to Combat Financial Crimes
      • 3.1.4.2. Increasing Adoption of Advanced Analytics in AML
    • 3.1.5. Challenges
      • 3.1.5.1. Limited Data Available for Risk Assessment
  • 3.2. Technology Advancement/Recent Developments
  • 3.3. Regulatory Framework
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Bargaining Power of Suppliers
    • 3.4.2. Bargaining Power of Buyers
    • 3.4.3. Threat of New Entrants
    • 3.4.4. Threat of Substitutes
    • 3.4.5. Intensity of Rivalry

4. Global Anti-Money Laundering Market Overview

  • 4.1. Market Size & Forecast, 2019-2029
    • 4.1.1. By Value (USD Million)
  • 4.2. Market Share & Forecast
    • 4.2.1. By Type
      • 4.2.1.1. Solutions
      • 4.2.1.1.1. Know Your Customer (KYC)/Customer Due Diligence (CDD)
      • 4.2.1.1.2. Transaction Screening and Monitoring
      • 4.2.1.1.3. Case Management
      • 4.2.1.1.4. Regulatory Reporting
      • 4.2.1.2. Services
      • 4.2.1.2.1. Professional
      • 4.2.1.2.2. Managed
    • 4.2.2. By Deployment Mode
      • 4.2.2.1. Cloud
      • 4.2.2.2. On-Premises
    • 4.2.3. By Organization Size
      • 4.2.3.1. Large Enterprises
      • 4.2.3.2. SMEs
    • 4.2.4. By End User
      • 4.2.4.1. Banks and Other Financial Institutions
      • 4.2.4.2. Insurance Providers
      • 4.2.4.3. Gaming & Gambling Sector
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia-Pacific (APAC)
      • 4.2.5.4. Latin America (LATAM)
      • 4.2.5.5. Middle East and Africa (MEA)

5. North America Anti-Money Laundering Market

  • 5.1. Market Size & Forecast, 2019-2029
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type
    • 5.2.2. By Deployment Mode
    • 5.2.3. By Organization Size
    • 5.2.4. By End User
    • 5.2.5. By Country
      • 5.2.5.1. US
      • 5.2.5.1.1. By Type
      • 5.2.5.1.2. By Deployment Mode
      • 5.2.5.1.3. By Organization Size
      • 5.2.5.1.4. By End User
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Type
      • 5.2.5.2.2. By Deployment Mode
      • 5.2.5.2.3. By Organization Size
      • 5.2.5.2.4. By End User

6. Europe Anti-Money Laundering Market

  • 6.1. Market Size & Forecast, 2019-2029
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Organization Size
    • 6.2.4. By End User
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Type
      • 6.2.5.1.2. By Deployment Mode
      • 6.2.5.1.3. By Organization Size
      • 6.2.5.1.4. By End User
      • 6.2.5.2. UK
      • 6.2.5.2.1. By Type
      • 6.2.5.2.2. By Deployment Mode
      • 6.2.5.2.3. By Organization Size
      • 6.2.5.2.4. By End User
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Type
      • 6.2.5.3.2. By Deployment Mode
      • 6.2.5.3.3. By Organization Size
      • 6.2.5.3.4. By End User
      • 6.2.5.4. France
      • 6.2.5.4.1. By Type
      • 6.2.5.4.2. By Deployment Mode
      • 6.2.5.4.3. By Organization Size
      • 6.2.5.4.4. By End User
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Type
      • 6.2.5.5.2. By Deployment Mode
      • 6.2.5.5.3. By Organization Size
      • 6.2.5.5.4. By End User
      • 6.2.5.6. The Netherlands
      • 6.2.5.6.1. By Type
      • 6.2.5.6.2. By Deployment Mode
      • 6.2.5.6.3. By Organization Size
      • 6.2.5.6.4. By End User
      • 6.2.5.7. Belgium
      • 6.2.5.7.1. By Type
      • 6.2.5.7.2. By Deployment Mode
      • 6.2.5.7.3. By Organization Size
      • 6.2.5.7.4. By End User
      • 6.2.5.8. NORDIC Countries
      • 6.2.5.8.1. By Type
      • 6.2.5.8.2. By Deployment Mode
      • 6.2.5.8.3. By Organization Size
      • 6.2.5.8.4. By End User
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Type
      • 6.2.5.9.2. By Deployment Mode
      • 6.2.5.9.3. By Organization Size
      • 6.2.5.9.4. By End User

7. Asia-Pacific Anti-Money Laundering Market

  • 7.1. Market Size & Forecast, 2019-2029
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Organization Size
    • 7.2.4. By End User
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Type
      • 7.2.5.1.2. By Deployment Mode
      • 7.2.5.1.3. By Organization Size
      • 7.2.5.1.4. By End User
      • 7.2.5.2. India
      • 7.2.5.2.1. By Type
      • 7.2.5.2.2. By Deployment Mode
      • 7.2.5.2.3. By Organization Size
      • 7.2.5.2.4. By End User
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Type
      • 7.2.5.3.2. By Deployment Mode
      • 7.2.5.3.3. By Organization Size
      • 7.2.5.3.4. By End User
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Type
      • 7.2.5.4.2. By Deployment Mode
      • 7.2.5.4.3. By Organization Size
      • 7.2.5.4.4. By End User
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Type
      • 7.2.5.5.2. By Deployment Mode
      • 7.2.5.5.3. By Organization Size
      • 7.2.5.5.4. By End User
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Type
      • 7.2.5.6.2. By Deployment Mode
      • 7.2.5.6.3. By Organization Size
      • 7.2.5.6.4. By End User
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Type
      • 7.2.5.7.2. By Deployment Mode
      • 7.2.5.7.3. By Organization Size
      • 7.2.5.7.4. By End User
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Type
      • 7.2.5.8.2. By Deployment Mode
      • 7.2.5.8.3. By Organization Size
      • 7.2.5.8.4. By End User
      • 7.2.5.9. Philippines
      • 7.2.5.9.1. By Type
      • 7.2.5.9.2. By Deployment Mode
      • 7.2.5.9.3. By Organization Size
      • 7.2.5.9.4. By End User
      • 7.2.5.10. Vietnam
      • 7.2.5.10.1. By Type
      • 7.2.5.10.2. By Deployment Mode
      • 7.2.5.10.3. By Organization Size
      • 7.2.5.10.4. By End User
      • 7.2.5.11. Rest of APAC
      • 7.2.5.11.1. By Type
      • 7.2.5.11.2. By Deployment Mode
      • 7.2.5.11.3. By Organization Size
      • 7.2.5.11.4. By End User

8. Latin America Anti-Money Laundering Market

  • 8.1. Market Size & Forecast, 2019-2029
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Organization Size
    • 8.2.4. By End User
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Type
      • 8.2.5.1.2. By Deployment Mode
      • 8.2.5.1.3. By Organization Size
      • 8.2.5.1.4. By End User
      • 8.2.5.2. Mexico
      • 8.2.5.2.1. By Type
      • 8.2.5.2.2. By Deployment Mode
      • 8.2.5.2.3. By Organization Size
      • 8.2.5.2.4. By End User
      • 8.2.5.3. Argentina
      • 8.2.5.3.1. By Type
      • 8.2.5.3.2. By Deployment Mode
      • 8.2.5.3.3. By Organization Size
      • 8.2.5.3.4. By End User
      • 8.2.5.4. Peru
      • 8.2.5.4.1. By Type
      • 8.2.5.4.2. By Deployment Mode
      • 8.2.5.4.3. By Organization Size
      • 8.2.5.4.4. By End User
      • 8.2.5.5. Colombia
      • 8.2.5.5.1. By Type
      • 8.2.5.5.2. By Deployment Mode
      • 8.2.5.5.3. By Organization Size
      • 8.2.5.5.4. By End User
      • 8.2.5.6. Rest of LATAM
      • 8.2.5.6.1. By Type
      • 8.2.5.6.2. By Deployment Mode
      • 8.2.5.6.3. By Organization Size
      • 8.2.5.6.4. By End User

9. Middle East & Africa Anti-Money Laundering Market

  • 9.1. Market Size & Forecast, 2019-2029
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Organization Size
    • 9.2.4. By End User
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Type
      • 9.2.5.1.2. By Deployment Mode
      • 9.2.5.1.3. By Organization Size
      • 9.2.5.1.4. By End User
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Type
      • 9.2.5.2.2. By Deployment Mode
      • 9.2.5.2.3. By Organization Size
      • 9.2.5.2.4. By End User
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Type
      • 9.2.5.3.2. By Deployment Mode
      • 9.2.5.3.3. By Organization Size
      • 9.2.5.3.4. By End User
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Type
      • 9.2.5.4.2. By Deployment Mode
      • 9.2.5.4.3. By Organization Size
      • 9.2.5.4.4. By End User
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Type
      • 9.2.5.5.2. By Deployment Mode
      • 9.2.5.5.3. By Organization Size
      • 9.2.5.5.4. By End User
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Type
      • 9.2.5.6.2. By Deployment Mode
      • 9.2.5.6.3. By Organization Size
      • 9.2.5.6.4. By End User
      • 9.2.5.7. Egypt
      • 9.2.5.7.1. By Type
      • 9.2.5.7.2. By Deployment Mode
      • 9.2.5.7.3. By Organization Size
      • 9.2.5.7.4. By End User
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Type
      • 9.2.5.8.2. By Deployment Mode
      • 9.2.5.8.3. By Organization Size
      • 9.2.5.8.4. By End User

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Anti-Money Laundering Company Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Anti-Money Laundering Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. Nice Actimize
  • 12.2. SAS Institute Inc.
  • 12.3. BAE Systems
  • 12.4. FICO
  • 12.5. ACI Worldwide
  • 12.6. Oracle
  • 12.7. Experian
  • 12.8. Fiserv
  • 12.9. LexisNexis
  • 12.10. FIS
  • 12.11. Nelito Systems
  • 12.12. Wolters Kluwer Financial Services, Inc
  • 12.13. Comarch Sa (Comarch)
  • 12.14. Allsec Technologies Ltd.
  • 12.15. Dixtior
  • 12.16. Temenos
  • 12.17. TCS
  • 12.18. ComplyAdvantage
  • 12.19. Featurespace
  • 12.20. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations

*Financial information of case of non-listed companies can be provided as per availability.

**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable