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

Description

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.

Product Code: BWC23035

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