Anti-Money Laundering Software Market

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,850	135 Pages	Fortune Business Insights Pvt. Ltd.	October, 2024	FOB19224156

Best Price Guarantee
Price	from $4,850
Length	135 Pages
Publisher	Fortune Business Insights Pvt. Ltd.
Published Date	October, 2024
SKU	FOB19224156

Anti-Money Laundering Software Market

Growth Factors of Anti-Money Laundering Software Market

The anti-money laundering software market size was valued at USD 2.04 billion in 2023, and the market is now projected to grow from USD 2.28 billion in 2024 to USD 5.91 billion by 2032, exhibiting a CAGR of 12.6% during the forecast period of 2024-2032.

The COVID-19 outbreak disrupted various sectors of the economy leading to a remarkable rise in identity fraud for several financial service organizations through ransomware, synthetic identity, mobile device attacks and many other ways. This again resulted in severe monetary loss, temporarily negatively impacting the development of the anti-money laundering software market growth. With the years passing, the market received a boost in funding investments that enabled the firms to introduce innovations that would help mitigate the impacts of money laundering by providing advanced technology.

The increasing market for cryptocurrency is associated with increasing crime rates, especially in money laundering where over USD 2 billion had been hacked in 2023. In response to these factors, new regulations emerged to counteract them, thus fueling demand for anti-money laundering software market share. This means some of the positive impacts attributed to AML tools are in preventing various financial crimes which would otherwise lead to a cleaner environment for the cryptos. With the growth of the financial market, comes the demand for its security from AML threats.

Moreover, real-time transaction monitoring in AML software allows for identifying and mitigating financial crimes by focusing on a customer’s activity. The second way that RegTech automation supports is also strengthened by the reduction in data collection and analysis for financial institutions. RegTech requires the adoption of AI to enhance the customer onboarding process and overall effectiveness. Both these trends collectively put pressure on buying AML software across the financial industry.

Comprehensive Analysis of Anti-Money Laundering Software Market

The global anti-money laundering software market in information and communication technology is growing exponentially because of its market segmentation. This market expansion notably offers comprehensive regional studies that provide the supply and demand factors shaping the value chain for hardware & software IT services. These segmentations are systematically divided into types, enterprise types, deployment and end users. The types include, Standalone and Integrated. The enterprise types include, SMEs and Large Enterprise. The deployment include, On-premise and Cloud. In the end, the end-users include, Banks and Neobank, Insurance, Investment, Crypto and Others.

North America dominated the market share in 2023 and is expected to have the same trend throughout the forecast period. It will grow in the future based on advancements in technology, the huge number of end-users and the rising trend in the strategies implemented by leading the anti-money laundering software players. The use of AML software is expected to grow within the Banking, Financial Services, and Insurance (BFSI) sector in the U.S. hence creating a probable demand for AML software.

The leading strategic market players depend on developing industrial prospects for the information & communication technology market and setting industry norms. These players include, Oracle Corporation (U.S.), ACI Worldwide (U.S.), Eastnets (U.S.), AML Partners (U.S.), Alessa Inc. (Canada), Acuant (U.S.), Feedzai (U.S.), SAS Institute Inc. (U.S.), Ondato (U.K.) and Sanction Scanner (U.K.). These market players offer a level-playing competitive environment.

In November 2022, Sanction Scanner partnered with Coinfirm which is a blockchain investigation analytics firm that launched the compliance knowledge and traditional financial worlds. This partnership will guarantee that customers can scan and monitor transactions facilitated by their firms in both cryptocurrency and sanctioned money.

Segmentation Table

Global Insulated Packaging Market Scope

Study Period 2019-2032

Base Year 2023

Forecast Period 2024-2032

Growth Rate CAGR of 12.6% from 2024 to 2032

Historical Period 2019-2022

Unit Value (USD Billion)

Segmentation By Type, Enterprise type, Deployment, End- User and Region

By Type

Standalone

Integrated

By Enterprise Type

SMEs

Large Enterprise

By Deployment

On-premise

Cloud

By End-user

Banks and Neobank

Insurance
Investment
Crypto
Others (Healthcare, Government, etc.)

By Region

North America (By Type, By Enterprise Type, By Deployment, By End-user, and By Country)

United States (By Deployment)
Canada (By Deployment)
Mexico (By Deployment)
South America (By Type, By Enterprise Type, By Deployment, By End-user, and By Country)
Brazil (By Deployment)
Argentina (By Deployment)
Rest of South America
Europe (By Type, By Enterprise Type, By Deployment, By End-user, and By Country)
United Kingdom (By Deployment)
Germany (By Deployment)
France (By Deployment)
Italy (By Deployment)
Spain (By Deployment)
Russia (By Deployment)
Benelux (By Deployment)
Nordics (By Deployment)
Rest of Europe
Middle East & Africa (By Type, By Enterprise Type, By Deployment, By End-user, and By Country)
Turkey (By Deployment)
Israel (By Deployment)
GCC (By Deployment)
North Africa (By Deployment)
South Africa (By Deployment)
Rest of Middle East & Africa
Asia Pacific (By Type, By Enterprise Type, By Deployment, By End-user, and By Country)
China (By Deployment)
India (By Deployment)
Japan (By Deployment)
South Korea (By Deployment)
ASEAN (By Deployment)
Oceania (By Deployment)
Rest of Asia Pacific

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1. Introduction: 1.1. Definition, By Segment; 1.2. Research Methodology/Approach; 1.3. Data Sources
2. Executive Summary
3. Market Dynamics: 3.1. Macro and Micro Economic Indicators; 3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape: 4.1. Business Strategies Adopted by Key Players; 4.2. Consolidated SWOT Analysis of Key Players; 4.3. Global Anti-Money Laundering Software Key Players Market Share/Ranking, 2023
5. Global Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 5.1. Key Findings; 5.2. By Type (USD); 5.2.1. Standalone; 5.2.2. Integrated; 5.3. By Enterprise Type (USD); 5.3.1. SMEs; 5.3.2. Large Enterprise; 5.4. By Deployment (USD); 5.4.1. On-premise; 5.4.2. Cloud; 5.5. By End-user (USD); 5.5.1. Banks and Neobank; 5.5.2. Insurance; 5.5.3. Investment; 5.5.4. Crypto; 5.5.5. Others (Healthcare, Government, etc.); 5.6. By Region (USD); 5.6.1. North America; 5.6.2. South America; 5.6.3. Europe; 5.6.4. Middle East & Africa; 5.6.5. Asia Pacific
6. North America Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 6.1. Key Findings; 6.2. By Type (USD); 6.2.1. Standalone; 6.2.2. Integrated; 6.3. By Enterprise Type (USD); 6.3.1. SMEs; 6.3.2. Large Enterprise; 6.4. By Deployment (USD); 6.4.1. On-premise; 6.4.2. Cloud; 6.5. By End-user (USD); 6.5.1. Banks and Neobank; 6.5.2. Insurance; 6.5.3. Investment; 6.5.4. Crypto; 6.5.5. Others (Healthcare, Government, etc.); 6.6. By Country (USD); 6.6.1. United States; 6.6.1.1. By Deployment; 6.6.2. Canada; 6.6.2.1. By Deployment; 6.6.3. Mexico; 6.6.3.1. By Deployment
7. South America Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 7.1. Key Findings; 7.2. By Type (USD); 7.2.1. Standalone; 7.2.2. Integrated; 7.3. By Enterprise Type (USD); 7.3.1. SMEs; 7.3.2. Large Enterprise; 7.4. By Deployment (USD); 7.4.1. On-premise; 7.4.2. Cloud; 7.5. By End-user (USD); 7.5.1. Banks and Neobank; 7.5.2. Insurance; 7.5.3. Investment; 7.5.4. Crypto; 7.5.5. Others (Healthcare, Government, etc.); 7.6. By Country (USD); 7.6.1. Brazil; 7.6.1.1. By Deployment; 7.6.2. Argentina; 7.6.2.1. By Deployment; 7.6.3. Rest of South America
8. Europe Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 8.1. Key Findings; 8.2. By Type (USD); 8.2.1. Standalone; 8.2.2. Integrated; 8.3. By Enterprise Type (USD); 8.3.1. SMEs; 8.3.2. Large Enterprise; 8.4. By Deployment (USD); 8.4.1. On-premise; 8.4.2. Cloud; 8.5. By End-user (USD); 8.5.1. Banks and Neobank; 8.5.2. Insurance; 8.5.3. Investment; 8.5.4. Crypto; 8.5.5. Others (Healthcare, Government, etc.); 8.6. By Country (USD); 8.6.1. United Kingdom; 8.6.1.1. By Deployment; 8.6.2. Germany; 8.6.2.1. By Deployment; 8.6.3. France; 8.6.3.1. By Deployment; 8.6.4. Italy; 8.6.4.1. By Deployment; 8.6.5. Spain; 8.6.5.1. By Deployment; 8.6.6. Russia; 8.6.6.1. By Deployment; 8.6.7. Benelux; 8.6.7.1. By Deployment; 8.6.8. Nordics; 8.6.8.1. By Deployment; 8.6.9. Rest of Europe
9. Middle East & Africa Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 9.1. Key Findings; 9.2. By Type (USD); 9.2.1. Standalone; 9.2.2. Integrated; 9.3. By Enterprise Type (USD); 9.3.1. SMEs; 9.3.2. Large Enterprise; 9.4. By Deployment (USD); 9.4.1. On-premise; 9.4.2. Cloud; 9.5. By End-user (USD); 9.5.1. Banks and Neobank; 9.5.2. Insurance; 9.5.3. Investment; 9.5.4. Crypto; 9.5.5. Others (Healthcare, Government, etc.); 9.6. By Country (USD); 9.6.1. Turkey; 9.6.1.1. By Deployment; 9.6.2. Israel; 9.6.2.1. By Deployment; 9.6.3. GCC; 9.6.3.1. By Deployment; 9.6.4. North Africa; 9.6.4.1. By Deployment; 9.6.5. South Africa; 9.6.5.1. By Deployment; 9.6.6. Rest of MEA
10. Asia Pacific Anti-Money Laundering Software Market Size Estimates and Forecasts, By Segments, 2019-2032: 10.1. Key Findings; 10.2. By Type (USD); 10.2.1. Standalone; 10.2.2. Integrated; 10.3. By Enterprise Type (USD); 10.3.1. SMEs; 10.3.2. Large Enterprise; 10.4. By Deployment (USD); 10.4.1. On-premise; 10.4.2. Cloud; 10.5. By End-user (USD); 10.5.1. Banks and Neobank; 10.5.2. Insurance; 10.5.3. Investment; 10.5.4. Crypto; 10.5.5. Others (Healthcare, Government, etc.); 10.6. By Country (USD); 10.6.1. China; 10.6.1.1. By Deployment; 10.6.2. India; 10.6.2.1. By Deployment; 10.6.3. Japan; 10.6.3.1. By Deployment; 10.6.4. South Korea; 10.6.4.1. By Deployment; 10.6.5. ASEAN; 10.6.5.1. By Deployment; 10.6.6. Oceania; 10.6.6.1. By Deployment; 10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases): 11.1. Oracle Corporation; 11.1.1. Overview; 11.1.1.1. Key Management; 11.1.1.2. Headquarters; 11.1.1.3. Offerings/Business Segments; 11.1.2. Key Details (Key details are consolidated data and not product/service specific); 11.1.2.1. Employee Size; 11.1.2.2. Past and Current Revenue; 11.1.2.3. Geographical Share; 11.1.2.4. Business Segment Share; 11.1.2.5. Recent Developments; 11.2. ACI Worldwide; 11.2.1. Overview; 11.2.1.1. Key Management; 11.2.1.2. Headquarters; 11.2.1.3. Offerings/Business Segments; 11.2.2. Key Details (Key details are consolidated data and not product/service specific); 11.2.2.1. Employee Size; 11.2.2.2. Past and Current Revenue; 11.2.2.3. Geographical Share; 11.2.2.4. Business Segment Share; 11.2.2.5. Recent Developments; 11.3. Eastnets; 11.3.1. Overview; 11.3.1.1. Key Management; 11.3.1.2. Headquarters; 11.3.1.3. Offerings/Business Segments; 11.3.2. Key Details (Key details are consolidated data and not product/service specific); 11.3.2.1. Employee Size; 11.3.2.2. Past and Current Revenue; 11.3.2.3. Geographical Share; 11.3.2.4. Business Segment Share; 11.3.2.5. Recent Developments; 11.4. AML Partners; 11.4.1. Overview; 11.4.1.1. Key Management; 11.4.1.2. Headquarters; 11.4.1.3. Offerings/Business Segments; 11.4.2. Key Details (Key details are consolidated data and not product/service specific); 11.4.2.1. Employee Size; 11.4.2.2. Past and Current Revenue; 11.4.2.3. Geographical Share; 11.4.2.4. Business Segment Share; 11.4.2.5. Recent Developments; 11.5. Alessa Inc.; 11.5.1. Overview; 11.5.1.1. Key Management; 11.5.1.2. Headquarters; 11.5.1.3. Offerings/Business Segments; 11.5.2. Key Details (Key details are consolidated data and not product/service specific); 11.5.2.1. Employee Size; 11.5.2.2. Past and Current Revenue; 11.5.2.3. Geographical Share; 11.5.2.4. Business Segment Share; 11.5.2.5. Recent Developments; 11.6. Acuant; 11.6.1. Overview; 11.6.1.1. Key Management; 11.6.1.2. Headquarters; 11.6.1.3. Offerings/Business Segments; 11.6.2. Key Details (Key details are consolidated data and not product/service specific); 11.6.2.1. Employee Size; 11.6.2.2. Past and Current Revenue; 11.6.2.3. Geographical Share; 11.6.2.4. Business Segment Share; 11.6.2.5. Recent Developments; 11.7. Feedzai; 11.7.1. Overview; 11.7.1.1. Key Management; 11.7.1.2. Headquarters; 11.7.1.3. Offerings/Business Segments; 11.7.2. Key Details (Key details are consolidated data and not product/service specific); 11.7.2.1. Employee Size; 11.7.2.2. Past and Current Revenue; 11.7.2.3. Geographical Share; 11.7.2.4. Business Segment Share; 11.7.2.5. Recent Developments; 11.8. SAS Institute Inc.; 11.8.1. Overview; 11.8.1.1. Key Management; 11.8.1.2. Headquarters; 11.8.1.3. Offerings/Business Segments; 11.8.2. Key Details (Key details are consolidated data and not product/service specific); 11.8.2.1. Employee Size; 11.8.2.2. Past and Current Revenue; 11.8.2.3. Geographical Share; 11.8.2.4. Business Segment Share; 11.8.2.5. Recent Developments; 11.9. Ondato; 11.9.1. Overview; 11.9.1.1. Key Management; 11.9.1.2. Headquarters; 11.9.1.3. Offerings/Business Segments; 11.9.2. Key Details (Key details are consolidated data and not product/service specific); 11.9.2.1. Employee Size; 11.9.2.2. Past and Current Revenue; 11.9.2.3. Geographical Share; 11.9.2.4. Business Segment Share; 11.9.2.5. Recent Developments; 11.10. Sanction Scanner; 11.10.1. Overview; 11.10.1.1. Key Management; 11.10.1.2. Headquarters; 11.10.1.3. Offerings/Business Segments; 11.10.2. Key Details (Key details are consolidated data and not product/service specific); 11.10.2.1. Employee Size; 11.10.2.2. Past and Current Revenue; 11.10.2.3. Geographical Share; 11.10.2.4. Business Segment Share; 11.10.2.5. Recent Developments
12. Key Takeaways