The anti-money laundering software market size is expected to grow from US$ 2,116.3 million in 2021 to US$ 6,162.8 million by 2028; The anti-money laundering software market share is estimated to grow at a CAGR of 16.6% from 2022 to 2028.
An anti-money laundering (AML) software is deployed to meet the legal requirements of financial institutions for preventing and reporting the activities of money laundering. Increasing online transactions and rising concerns regarding fraudulent transactions have steered the adoption of these software solutions. Further, supportive government regulations, rising adoption of cryptocurrency, and increasing developments in the FinTech sector favor the anti-money laundering software market growth to a significant extent. However, increasing complexities impede the growth of the market to a considerable extent. The COVID-19 pandemic accelerated the development of digital technologies. Because of political restrictions globally, everyone was relying on digital platforms to meet their everyday needs. The most common application is for digital payments. Digital wallets, often known as eWallets, are becoming more popular. As a result of this transition, the likelihood of unlawful money transactions has grown. The FATF has cautioned banks about unlawful money transactions. As a result, demand for anti-money laundering software has surged, and this factor has significantly impacted the anti-money laundering software market growth.
Various product launch strategies implemented by companies are propelling the anti-money laundering software market. For instance, in September 2020, NASDAQ, Inc. launched AI-based technology to help commercial and retail banks automate AML investigations. The newly launched technology can make it swifter and cheaper for banks and other financial institutions to scrutinize through the alerts, which weakens money-laundering cases generated by bank transaction monitoring systems. In June 2020, FIS collaborated with FICO, a credit scoring company, to introduce a new anti-money laundering software in response to the escalated flow of dirty cash amid the COVID-19 pandemic. The platform uses machine learning and AI technologies to detect suspicious transactions, alert financial institutions, and support bank investigators with detailed, transparent intelligence.
Banks and various other financial institutions monitor each transaction performed by their customer on daily basis. The transaction monitoring system helps them perform the monitoring tasks on a real time basis. Furthermore, by coalescing the transaction monitoring information with analysis of the historical information and account profile of the customers, the software can offer financial institutions with a complete analysis of a customer’s profile, risk levels, and predicted future activity; it can also generate reports and create alerts to suspicious activities. The transactions monitored using such software solutions include cash deposits and withdrawals, wire transfers, and ACH activity. AML transaction monitoring solutions also may include sanctions screening, blacklist screening, and customer profiling features. Banks have responded to these trends by investing heavily in manpower, manual controls (“checkers checking the checkers”), and systems addressing point-in-time needs. For example, in the US, anti-money laundering (AML) compliance staff have increased up to tenfold at major banks over the past five years. Banks have typically used a piecemeal approach, redirecting staff to areas with the weakest controls. This has resulted in compliance programs built for individual countries, product lines, and customer segments - with all the duplication that suggests. Banks have also hired thousands of investigators to manually review high-risk transactions and accounts identified through inefficient, exception-based rules.
Lately, the financial ecosystem has been transformed by the swift developments in machine learning, data science, and their ability to produce algorithms for predictive data analytics. In recent times, machine learning has proved to be holding great promise for the banking system, particularly in the area of detecting hidden patterns and suspicious money-laundering activities. Machine learning facilitates identifying money-laundering typologies, strange and suspicious transactions, behavioral transitions in customers, transactions of customers belonging to the same geography, age, groups, and other identities, and helps reduce false positives. It also helps analyze similar transactions for focal entities and correlate alerts flagged as suspicious in regulatory reports. The advanced capabilities provided by the machine learning and data science in AML solutions are expected to drive the anti-money laundering software market share during the forecast period.
Furthermore, as money launders continue to explore newer ways to use banks for illicit activities, the timely detection of the laundering activities is the most challenging aspect in implementing an efficient AML. Numerous companies are launching innovative technologies that are capable of detecting, tracking, and preventing money laundering. For instance, in March 2020, Infotech Limited introduced AMLOCK Analytics, an advanced AML solution that allows banks and financial institutions to recognize complex AML patterns. Powered by AI and machine language, the solution helps enterprises meet the critical challenge of handling a high false positive and deliver a complete view of scrutinizing an alert.
Managing the compliance teams and thousands of people working remotely has been a crucial responsibility for compliance officers during the COVID-19 Pandemic. During this crisis, the protection of financial institutions extends beyond physical boundaries. Hence, a remote and digital infrastructure is necessary to meet security and compliance demands. Artificial intelligence (AI), on the other hand, can help organizations deal with various issues arisen from the rise in digitalization. It can reduce the need for human intervention, particularly in anti-money laundering circumstances. Although AI will never be able to completely replace humans, it can help reduce the need for human approval.
The anti-money laundering software market is segmented into component, deployment, product, and end user. The anti-money laundering software market analysis by component, the market is segmented into software and services. In terms of deployment, the global anti-money laundering software market is categorized into on premise and cloud based. The anti-money laundering software market analysis by product, the global anti-money laundering software market is categorized into transaction monitoring, compliance management, currency transaction reporting, and customer identity management. In terms of end user, the anti-money laundering software market is segmented into healthcare, retail, BFSI, IT & telecom, government, and others. The global anti-money laundering software market is segmented into five major regions - North America, Europe, APAC, MEA, and SAM.
The overall anti-money laundering software market size has been derived using both primary and secondary sources. Exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the market. The process also serves the purpose of obtaining an overview and forecast for the anti-money laundering software market with respect to all the segments. Also, multiple primary interviews have been conducted with industry participants to validate the data and gain more analytical insights. The industry experts participating in this process include VPs, business development managers, market intelligence managers, national sales managers, and external consultants, such as valuation experts, research analysts, and key opinion leaders, specializing in the anti-money laundering software market.
An anti-money laundering (AML) software is deployed to meet the legal requirements of financial institutions for preventing and reporting the activities of money laundering. Increasing online transactions and rising concerns regarding fraudulent transactions have steered the adoption of these software solutions. Further, supportive government regulations, rising adoption of cryptocurrency, and increasing developments in the FinTech sector favor the anti-money laundering software market growth to a significant extent. However, increasing complexities impede the growth of the market to a considerable extent. The COVID-19 pandemic accelerated the development of digital technologies. Because of political restrictions globally, everyone was relying on digital platforms to meet their everyday needs. The most common application is for digital payments. Digital wallets, often known as eWallets, are becoming more popular. As a result of this transition, the likelihood of unlawful money transactions has grown. The FATF has cautioned banks about unlawful money transactions. As a result, demand for anti-money laundering software has surged, and this factor has significantly impacted the anti-money laundering software market growth.
Various product launch strategies implemented by companies are propelling the anti-money laundering software market. For instance, in September 2020, NASDAQ, Inc. launched AI-based technology to help commercial and retail banks automate AML investigations. The newly launched technology can make it swifter and cheaper for banks and other financial institutions to scrutinize through the alerts, which weakens money-laundering cases generated by bank transaction monitoring systems. In June 2020, FIS collaborated with FICO, a credit scoring company, to introduce a new anti-money laundering software in response to the escalated flow of dirty cash amid the COVID-19 pandemic. The platform uses machine learning and AI technologies to detect suspicious transactions, alert financial institutions, and support bank investigators with detailed, transparent intelligence.
Banks and various other financial institutions monitor each transaction performed by their customer on daily basis. The transaction monitoring system helps them perform the monitoring tasks on a real time basis. Furthermore, by coalescing the transaction monitoring information with analysis of the historical information and account profile of the customers, the software can offer financial institutions with a complete analysis of a customer’s profile, risk levels, and predicted future activity; it can also generate reports and create alerts to suspicious activities. The transactions monitored using such software solutions include cash deposits and withdrawals, wire transfers, and ACH activity. AML transaction monitoring solutions also may include sanctions screening, blacklist screening, and customer profiling features. Banks have responded to these trends by investing heavily in manpower, manual controls (“checkers checking the checkers”), and systems addressing point-in-time needs. For example, in the US, anti-money laundering (AML) compliance staff have increased up to tenfold at major banks over the past five years. Banks have typically used a piecemeal approach, redirecting staff to areas with the weakest controls. This has resulted in compliance programs built for individual countries, product lines, and customer segments - with all the duplication that suggests. Banks have also hired thousands of investigators to manually review high-risk transactions and accounts identified through inefficient, exception-based rules.
Lately, the financial ecosystem has been transformed by the swift developments in machine learning, data science, and their ability to produce algorithms for predictive data analytics. In recent times, machine learning has proved to be holding great promise for the banking system, particularly in the area of detecting hidden patterns and suspicious money-laundering activities. Machine learning facilitates identifying money-laundering typologies, strange and suspicious transactions, behavioral transitions in customers, transactions of customers belonging to the same geography, age, groups, and other identities, and helps reduce false positives. It also helps analyze similar transactions for focal entities and correlate alerts flagged as suspicious in regulatory reports. The advanced capabilities provided by the machine learning and data science in AML solutions are expected to drive the anti-money laundering software market share during the forecast period.
Furthermore, as money launders continue to explore newer ways to use banks for illicit activities, the timely detection of the laundering activities is the most challenging aspect in implementing an efficient AML. Numerous companies are launching innovative technologies that are capable of detecting, tracking, and preventing money laundering. For instance, in March 2020, Infotech Limited introduced AMLOCK Analytics, an advanced AML solution that allows banks and financial institutions to recognize complex AML patterns. Powered by AI and machine language, the solution helps enterprises meet the critical challenge of handling a high false positive and deliver a complete view of scrutinizing an alert.
Managing the compliance teams and thousands of people working remotely has been a crucial responsibility for compliance officers during the COVID-19 Pandemic. During this crisis, the protection of financial institutions extends beyond physical boundaries. Hence, a remote and digital infrastructure is necessary to meet security and compliance demands. Artificial intelligence (AI), on the other hand, can help organizations deal with various issues arisen from the rise in digitalization. It can reduce the need for human intervention, particularly in anti-money laundering circumstances. Although AI will never be able to completely replace humans, it can help reduce the need for human approval.
The anti-money laundering software market is segmented into component, deployment, product, and end user. The anti-money laundering software market analysis by component, the market is segmented into software and services. In terms of deployment, the global anti-money laundering software market is categorized into on premise and cloud based. The anti-money laundering software market analysis by product, the global anti-money laundering software market is categorized into transaction monitoring, compliance management, currency transaction reporting, and customer identity management. In terms of end user, the anti-money laundering software market is segmented into healthcare, retail, BFSI, IT & telecom, government, and others. The global anti-money laundering software market is segmented into five major regions - North America, Europe, APAC, MEA, and SAM.
The overall anti-money laundering software market size has been derived using both primary and secondary sources. Exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the market. The process also serves the purpose of obtaining an overview and forecast for the anti-money laundering software market with respect to all the segments. Also, multiple primary interviews have been conducted with industry participants to validate the data and gain more analytical insights. The industry experts participating in this process include VPs, business development managers, market intelligence managers, national sales managers, and external consultants, such as valuation experts, research analysts, and key opinion leaders, specializing in the anti-money laundering software market.
Table of Contents
1. Introduction1.1 Scope of the Study
1.2 Research Report Guidance
1.3 Market Segmentation
1.3.1 Global Anti-Money Laundering Software Market - By Component
1.3.2 Global Anti-Money Laundering Software Market - By Deployment
1.3.3 Global Anti-Money Laundering Software Market - By Product
1.3.4 Global Anti-Money Laundering Software Market - By End User
1.3.5 Global Anti-Money Laundering Software Market - By Geography
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Anti-Money Laundering Software Market Landscape
4.1 Market Overview
4.2 PEST Analysis
4.2.1 North America
4.2.2 Europe
4.2.3 APAC
4.2.4 MEA
4.2.5 SAM
4.3 Ecosystem Analysis
4.4 Expert Opinion
5. Anti-Money Laundering Software Market - Key Market Dynamics
5.1 Market Drivers
5.1.1 Increasing Focus of FinTech on Implementing Automated Anti-Money Laundering Systems
5.1.2 Rising Demand for Sophisticated Transaction Monitoring Solutions
5.1.3 Increasing Focus on Limiting Risks Related to Digital Payment Methods
5.2 Market Restraints
5.2.1 Increasingly Complicating Structure and Technology of Anti-Money Laundering Software
5.3 Market Opportunities
5.3.1 Rising Adoption of Cryptocurrency
5.3.2 Surging Adoption of Advanced Analytics
5.3.3 Implementation of Government Regulations to Deploy AML Solutions
5.4 Future Trends
5.4.1 Information Sharing Among Banks and Other Financial Institutions
5.4.2 Increased Use of Artificial Intelligence
5.5 Impact Analysis of Drivers and Restraints
6. Anti-Money Laundering Software Market - Global Market Analysis
6.1 Global Anti-Money Laundering Software Market Overview
6.2 Global Anti-Money Laundering Software Market Forecast and Analysis
6.3 Market Positioning- Top Five Players
7. Anti-Money Laundering Software Market - By Component
7.1 Overview
7.2 Anti-money laundering software Market, By Component (2021 And 2028)
7.3 Software
7.3.1 Overview
7.3.2 Software: Anti-money laundering software Market Revenue and Forecast To 2028 (US$ Million)
7.4 Services
7.4.1 Overview
7.4.2 Services: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
8. Global Anti-money laundering software Market Analysis - By Deployment
8.1 Overview
8.2 Anti-Money Laundering Software Market, By Deployment (2021 And 2028)
8.3 Cloud based
8.3.1 Overview
8.3.2 Cloud based: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
8.4 On Premise
8.4.1 Overview
8.4.2 On Premise: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
9. Global Anti-Money Laundering Software Market Analysis by Product
9.1 Overview
9.2 Anti-Money Laundering Software Market, By Product (2021 and 2028)
9.4 Transaction Monitoring
9.4.1 Overview
9.4.2 Transaction Monitoring: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
9.5 Compliance Management
9.5.1 Overview
9.5.2 Compliance Management: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
9.6 Currency Transaction Reporting
9.6.1 Overview
9.6.2 Currency Transaction Reporting: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
9.7 Customer Identity Management
9.7.1 Overview
9.7.2 Customer identity management Market: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10. Anti-Money Laundering Software Market Analysis by End User
10.1 Overview
10.2 Anti-Money Laundering Software Market, By End User (2021 And 2028)
10.3 Healthcare
10.3.1 Overview
10.3.2 Healthcare: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10.4 BFSI
10.4.1 Overview
10.4.2 BFSI: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10.5 Retail
10.5.1 Overview
10.5.2 Retail: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10.6 IT & Telecom
10.6.1 Overview
10.6.2 IT & Telecom: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10.7 Government
10.7.1 Overview
10.7.2 Government: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
10.8 Others
10.8.1 Overview
10.8.2 Others: Anti-Money Laundering Software Market Revenue and Forecast To 2028 (US$ Million)
11. Anti-Money Laundering Software Market - Geographic Analysis
11.1 Overview
11.2 North America: Anti-Money Laundering Software Market
11.2.1 North America Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.2.2 North America Anti-Money Laundering Software Market Breakdown, By Component
11.2.3 North America Anti-Money Laundering Software Market Breakdown, By Deployment
11.2.4 North America Anti-Money Laundering Software Market Breakdown, By Product
11.2.5 North America Anti-Money Laundering Software Market Breakdown, By End User
11.2.6 North America Anti-Money Laundering Software Market Breakdown, by Country
11.2.6.1 US Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.2.6.1.1 US Anti-Money Laundering Software Market Breakdown, By Component
11.2.6.1.2 US Anti-Money Laundering Software Market Breakdown, By Deployment
11.2.6.1.3 US Anti-Money Laundering Software Market Breakdown, By Product
11.2.6.1.4 US Anti-Money Laundering Software Market Breakdown, By End User
11.2.6.2 Canada Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.2.6.2.1 Canada Anti-Money Laundering Software Market Breakdown, By Component
11.2.6.2.2 Canada Anti-Money Laundering Software Market Breakdown, By Deployment
11.2.6.2.3 Canada Anti-Money Laundering Software Market Breakdown, By Product
11.2.6.2.4 Canada Anti-Money Laundering Software Market Breakdown, By End User
11.2.6.3 Mexico Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.2.6.3.1 Mexico Anti-Money Laundering Software Market Breakdown, By Component
11.2.6.3.2 Mexico Anti-Money Laundering Software Market Breakdown, By Deployment
11.2.6.3.3 Mexico Anti-Money Laundering Software Market Breakdown, By Product
11.2.6.3.4 Mexico Anti-Money Laundering Software Market Breakdown, By End User
11.3 Europe: Anti-Money Laundering Software Market
11.3.1 Europe Anti-Money Laundering Software Market Revenue and Forecast to 2028 (US$ million)
11.3.2 Europe Anti-Money Laundering Software Market Breakdown, By Component
11.3.3 Europe Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.4 Europe Anti-Money Laundering Software Market Breakdown, By Product
11.3.5 Europe Anti-Money Laundering Software Market Breakdown, By End User
11.3.6 Europe Anti-Money Laundering Software Market Breakdown, by Country
11.3.6.1 Germany Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.1.1 Germany Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.1.2 Germany Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.1.3 Germany Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.1.4 Germany Anti-Money Laundering Software Market Breakdown, By End User
11.3.6.2 France Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.2.1 France Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.2.2 France Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.2.3 France Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.2.4 France Anti-Money Laundering Software Market Breakdown, By End User
11.3.6.3 Italy Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.3.1 Italy Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.3.2 Italy Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.3.3 Italy Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.3.4 Italy Anti-Money Laundering Software Market Breakdown, By End User
11.3.6.4 UK Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.4.1 UK Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.4.2 UK Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.4.3 UK Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.4.4 UK Anti-Money Laundering Software Market Breakdown, By End User
11.3.6.5 Russia Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.5.1 Russia Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.5.2 Russia Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.5.3 Russia Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.5.4 Russia Anti-Money Laundering Software Market Breakdown, By End User
11.3.6.6 Rest of Europe Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.3.6.6.1 Rest of Europe Anti-Money Laundering Software Market Breakdown, By Component
11.3.6.6.2 Rest of Europe Anti-Money Laundering Software Market Breakdown, By Deployment
11.3.6.6.3 Rest of Europe Anti-Money Laundering Software Market Breakdown, By Product
11.3.6.6.4 Rest of Europe Anti-Money Laundering Software Market Breakdown, By End User
11.4 APAC: Anti-Money Laundering Software Market
11.4.1 Overview
11.4.2 APAC Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.3 APAC Anti-Money Laundering Software Market Breakdown, By Component
11.4.4 APAC Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.5 APAC Anti-Money Laundering Software Market Breakdown, By Product
11.4.6 APAC Anti-Money Laundering Software Market Breakdown, By End User
11.4.7 APAC Anti-Money Laundering Software Market Breakdown, by Country
11.4.7.1 Australia Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.1.1 Australia Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.1.2 Australia Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.1.3 Australia Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.1.4 Australia Anti-Money Laundering Software Market Breakdown, By End User
11.4.7.2 China Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.2.1 China Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.2.2 China Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.2.3 China Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.2.4 China Anti-Money Laundering Software Market Breakdown, By End User
11.4.7.3 India Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.3.1 India Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.3.2 India Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.3.3 India Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.3.4 India Anti-Money Laundering Software Market Breakdown, By End User
11.4.7.4 Japan Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.4.1 Japan Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.4.2 Japan Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.4.3 Japan Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.4.4 Japan Anti-Money Laundering Software Market Breakdown, By End User
11.4.7.5 South Korea Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.5.1 South Korea Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.5.2 South Korea Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.5.3 South Korea Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.5.4 South Korea Anti-Money Laundering Software Market Breakdown, By End User
11.4.7.6 Rest of APAC Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.4.7.6.1 Rest of APAC Anti-Money Laundering Software Market Breakdown, By Component
11.4.7.6.2 Rest of APAC Anti-Money Laundering Software Market Breakdown, By Deployment
11.4.7.6.3 Rest of APAC Anti-Money Laundering Software Market Breakdown, By Product
11.4.7.6.4 Rest of APAC Anti-Money Laundering Software Market Breakdown, By End User
11.5 MEA: Anti-Money Laundering Software Market
11.5.1 Overview
11.5.2 MEA Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.5.3 MEA Anti-Money Laundering Software Market Breakdown, By Component
11.5.4 MEA Anti-Money Laundering Software Market Breakdown, By Deployment
11.5.5 MEA Anti-Money Laundering Software Market Breakdown, By Product
11.5.6 MEA Anti-Money Laundering Software Market Breakdown, By End User
11.5.7 MEA Anti-Money Laundering Software Market Breakdown, By Country
11.5.7.1 Saudi Arabia Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.5.7.1.1 Saudi Arabia Anti-Money Laundering Software Market Breakdown, By Component
11.5.7.1.2 Saudi Arabia Anti-Money Laundering Software Market Breakdown, By Deployment
11.5.7.1.3 Saudi Arabia Anti-Money Laundering Software Market Breakdown, By Product
11.5.7.1.4 Saudi Arabia Anti-Money Laundering Software Market Breakdown, By End User
11.5.7.2 UAE Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.5.7.2.1 UAE Anti-Money Laundering Software Market Breakdown, By Component
11.5.7.2.2 UAE Anti-Money Laundering Software Market Breakdown, By Deployment
11.5.7.2.3 UAE Anti-Money Laundering Software Market Breakdown, By Product
11.5.7.2.4 UAE Anti-Money Laundering Software Market Breakdown, By End User
11.5.7.3 South Africa Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.5.7.3.1 South Africa Anti-Money Laundering Software Market Breakdown, By Component
11.5.7.3.2 South Africa Anti-Money Laundering Software Market Breakdown, By Deployment
11.5.7.3.3 South Africa Anti-Money Laundering Software Market Breakdown, By Product
11.5.7.3.4 South Africa Anti-Money Laundering Software Market Breakdown, By End User
11.5.7.4 Rest of MEA Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.5.7.4.1 Rest of MEA Anti-Money Laundering Software Market Breakdown, By Component
11.5.7.4.2 Rest of MEA Anti-Money Laundering Software Market Breakdown, By Deployment
11.5.7.4.3 Rest of MEA Anti-Money Laundering Software Market Breakdown, By Product
11.5.7.4.4 Rest of MEA Anti-Money Laundering Software Market Breakdown, By End User
11.6 SAM: Anti-Money Laundering Software Market
11.6.1 Overview
11.6.2 SAM Anti-Money Laundering Software Market, Revenue and Forecast to 2028 (US$ million)
11.6.3 SAM Anti-Money Laundering Software Market Breakdown, By Component
11.6.4 SAM Anti-Money Laundering Software Market Breakdown, By Deployment
11.6.5 SAM Anti-Money Laundering Software Market Breakdown, By Product
11.6.6 SAM Anti-Money Laundering Software Market Breakdown, By End User
11.6.7 SAM Anti-Money Laundering Software Market Breakdown, by Country
11.6.7.1 Brazil Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.6.7.1.1 Brazil Anti-Money Laundering Software Market Breakdown, By Component
11.6.7.1.2 Brazil Anti-Money Laundering Software Market Breakdown, By Deployment
11.6.7.1.3 Brazil Anti-Money Laundering Software Market Breakdown, By Product
11.6.7.1.4 Brazil Anti-Money Laundering Software Market Breakdown, By End User
11.6.7.2 Argentina Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.6.7.2.1 Argentina Anti-Money Laundering Software Market Breakdown, By Component
11.6.7.2.2 Argentina Anti-Money Laundering Software Market Breakdown, By Deployment
11.6.7.2.3 Argentina Anti-Money Laundering Software Market Breakdown, By Product
11.6.7.2.4 Argentina Anti-Money Laundering Software Market Breakdown, By End User
11.6.7.3 Rest of SAM Anti-Money Laundering Software Market, Revenue and Forecast to 2028
11.6.7.3.1 Rest of SAM Anti-Money Laundering Software Market Breakdown, By Component
11.6.7.3.2 Rest of SAM Anti-Money Laundering Software Market Breakdown, By Deployment
11.6.7.3.3 Rest of SAM Anti-Money Laundering Software Market Breakdown, By Product
11.6.7.3.4 Rest of SAM Anti-Money Laundering Software Market Breakdown, By End User
12. Impact of COVID-19 Pandemic on Anti-Money Laundering Software Market
12.1 Overview
12.2 North America: Impact Assessment of COVID-19 Pandemic
12.3 Europe: Impact Assessment of COVID-19 Pandemic
12.4 APAC: Impact Assessment of COVID-19 Pandemic
12.5 MEA: Impact Assessment of COVID-19 Pandemic
12.6 SAM: Impact Assessment of COVID-19 Pandemic
13. Industry Landscape
13.1 Market Initiative
13.2 Merger and Acquisition
13.3 New Development
14. Company Profiles
14.1 Accenture
14.1.1 Key Facts
14.1.2 Business Description
14.1.3 Products and Services
14.1.4 Financial Overview
14.1.5 SWOT Analysis
14.1.6 Key Developments
14.2 ACI WORLDWIDE, INC
14.2.1 Key Facts
14.2.2 Business Description
14.2.3 Products and Services
14.2.4 Financial Overview
14.2.5 SWOT Analysis
14.2.6 Key Developments
14.3 BAE Systems
14.3.1 Key Facts
14.3.2 Business Description
14.3.3 Products and Services
14.3.4 Financial Overview
14.3.5 SWOT Analysis
14.3.6 Key Developments
14.4 EastNets.com
14.4.1 Key Facts
14.4.2 Business Description
14.4.3 Products and Services
14.4.4 Financial Overview
14.4.5 SWOT Analysis
14.4.6 Key Developments
14.5 Open Text Corporation
14.5.1 Key Facts
14.5.2 Business Description
14.5.3 Products and Services
14.5.4 Financial Overview
14.5.5 SWOT Analysis
14.5.6 Key Developments
14.6 Oracle Corporation
14.6.1 Key Facts
14.6.2 Business Description
14.6.3 Products and Services
14.6.4 Financial Overview
14.6.5 SWOT Analysis
14.6.6 Key Developments
14.7 Nasdaq Inc
14.7.1 Key Facts
14.7.2 Business Description
14.7.3 Products and Services
14.7.4 Financial Overview
14.7.5 SWOT Analysis
14.7.6 Key Developments
14.8 SAS Institute Inc.
14.8.1 Key Facts
14.8.2 Business Description
14.8.3 Products and Services
14.8.4 Financial Overview
14.8.5 SWOT Analysis
14.8.6 Key Developments
14.9 NICE Ltd.
14.9.1 Key Facts
14.9.2 Business Description
14.9.3 Products and Services
14.9.4 Financial Overview
14.9.5 SWOT Analysis
14.9.6 Key Developments
14.10 Assent Business Technology, Inc.
14.10.1 Key Facts
14.10.2 Business Description
14.10.3 Products and Services
14.10.4 Financial Overview
14.10.5 SWOT Analysis
14.10.6 Key Developments
15. Appendix
15.1 About the Publisher
15.2 Glossary
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ACCENTURE
- ACI WORLDWIDE
- ASCENT TECHNOLOGY CONSULTING
- BAE SYSTEMS
- OPENTEXT CORPORATION
- ORACLE CORPORATION
- NICE Ltd.
- SAS INSTITUTE
- Nasdaq Inc
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 200 |
| Published | May 2022 |
| Forecast Period | 2022 - 2028 |
| Estimated Market Value ( $ | $ 2116.3 million |
| Forecasted Market Value ( $ | $ 6162.8 million |
| Compound Annual Growth Rate | 16.6% |
| Regions Covered | Global |
