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全球反洗錢市場——市場規模、份額、趨勢分析、機會、預測報告：按類型、部署模式、組織規模、最終用戶、地區（2019-2029）
市場調查報告書
商品編碼
1186478

全球反洗錢市場——市場規模、份額、趨勢分析、機會、預測報告：按類型、部署模式、組織規模、最終用戶、地區（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個工作天內

價格
簡介目錄

2022 年全球反洗錢市場規模預計為 29 億美元，在 2023 年至 2029 年的預測期內以 15.5% 的複合年增長率顯著增長，到 2029 年將達到 78 億美元，預計規模將達到推動市場增長的關鍵因素包括對反洗錢的興趣增加、對組織遵守嚴格監管要求的要求增加以及非現金交易量增加。另一方面，技術複雜性和高初始成本預計會阻礙市場增長。

該報告考察了全球反洗錢市場，按類型、部署方式、組織規模、最終用戶和地區提供了市場概況、市場規模和預測、趨勢、驅動因素和製約因素。它提供了全面的信息，例如單獨的分析和公司簡介。

目錄

第一章研究框架

第二章內容提要

第三章全球反洗錢市場洞察

  • 行業價值鏈分析
    • DROC分析
    • 增長動力
      • 洗錢事件增加
      • 組織越來越需要遵守嚴格的監管要求
      • 非現金交易增加
    • 抑製劑
      • 技術複雜性增加
    • 機會
      • 越來越多地採用基於雲的反洗錢解決方案來打擊金融犯罪
      • 在 AML 中越來越多地採用高級分析
    • 任務
      • 可用於風險評估的有限數據
  • 技術進步/最新發展
  • 監管框架
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭強度

第四章全球反洗錢市場概況

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
      • 解決方案
      • 服務
    • 按部署方式
      • 雲
      • 本地
    • 按組織規模
      • 大公司
      • 中小企業
    • 按最終用戶
      • 銀行和其他金融機構
      • 保險公司
      • 遊戲/賭博事業部
    • 按地區
      • 北美
      • 歐洲
      • 亞太地區
      • 拉丁美洲
      • 中東/非洲

第五章北美反洗錢市場

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
    • 按部署方式
    • 按組織規模
    • 按最終用戶
    • 按國家
      • 美國
      • 加拿大

第六章歐洲反洗錢市場

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
    • 按部署方式
    • 按組織規模
    • 按最終用戶
    • 按國家
      • 德國
      • 英國
      • 意大利
      • 法國
      • 西班牙
      • 荷蘭
      • 比利時
      • 北歐國家
      • 歐洲其他地區

第七章亞太反洗錢市場

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
    • 按部署方式
    • 按組織規模
    • 按最終用戶
    • 按國家
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳大利亞/新西蘭
      • 印度尼西亞
      • 馬來西亞
      • 新加坡
      • 菲律賓
      • 越南
      • 亞太其他地區

八、拉丁美洲反洗錢市場

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
    • 按部署方式
    • 按組織規模
    • 按最終用戶
    • 按國家
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 哥倫比亞
      • 其他拉丁美洲

第九章中東和非洲反洗錢市場

  • 市場規模及預測（2019-2029）
    • 按金額
  • 市場份額及預測
    • 按類型
    • 按部署方式
    • 按組織規模
    • 按最終用戶
    • 按國家
      • 沙特阿拉伯
      • 阿拉伯聯合酋長國
      • 卡塔爾
      • 科威特
      • 南非
      • 尼日利亞
      • 埃及
      • 其他中東/非洲

第10章競爭格局

  • 主要公司及其產品列表
  • 2022 年全球反洗錢公司市場份額分析
  • 按操作參數進行競爭性基準測試
  • 重大戰略發展（合併、收購、合作等）

第 11 章 COVID-19 對全球反洗錢市場的影響

第十二章公司概況（公司概況、財務矩陣、競爭格局、關鍵人才、主要競爭對手、聯繫人、戰略展望、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
  • 其他龍頭企業

第 13 章關鍵戰略建議

第十四章研究方法論

簡介目錄
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