What is the global market size of Anti-Money Laundering Solution Market?

Global Anti-Money Laundering Solution Market size was valued at USD 2.1 billion in 2021 and is poised to grow from USD 2.42 billion in 2022 to USD 8.13 billion by 2030, growing at a CAGR of 15.5% in the forecast period (2023-2030).

Anti-Money Laundering Solution Market Worldwide

Anti-Money Laundering Solution Market Regional Insights

The Global Anti-Money Laundering Solution Market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. In 2022, North America is projected to hold the most substantial share of the market. The regional Anti-Money Laundering Solution Market is likely to be driven by the increased adoption of technologically advanced IT infrastructure and solutions along with the presence of various well-established players operating in the market. Anti-money laundering market demand is predicted to be driven by factors such as the proliferation of inorganic growth methods among key AML vendors, developments related to AI and machine learning in AML solutions, and rising demand for cloud-based AML solutions.

Further, the Europe region is also likely to grow at a significant rate in the Anti-Money Laundering Solution Market during the forecast period. The regional growth of the Anti-Money Laundering Solution Market is attributed to the increasing adoption of technologically advanced solutions and services among the players in the region. Continuous changes in the regulatory landscape, such as AMLD5, GDPR, and PCI DSS, as well as emerging trends related to trade-based money laundering and virtual currencies, such as a shift toward the non-bank financial sector and non-financial profession, are expected to drive the demand for anti-money laundering solutions in Europe.

FAQs

Global Anti-Money Laundering Solution Market size was valued at USD 3.11 billion in 2023 and is poised to grow from USD 3.64 billion in 2024 to USD 12.68 billion by 2032, growing at a CAGR of 16.9% during the forecast period (2025-2032).

The Anti-Money Laundering Solution Market is fragmented in nature. The prominent players operating in the Anti-Money Laundering Solution Market are constantly adopting various growth strategies in order to stay afloat in the market. Product launches, innovations, mergers, and acquisitions, collaborations and partnerships, and intensive R&D are some of the growth strategies that are adopted by these key players to thrive in the competitive market. The key Anti-Money Laundering Solution Market players are also constantly focused on R&D in order to supply industries with the most efficient and cost-effective solutions. 'Oracle (US) ', 'FIS (US) ', 'Fiserv (US) ', 'SAS Institute (US) ', 'Jumio (US) ', 'GB Group (UK) ', 'Experian (Ireland) ', 'ComplyAdvantage (UK) ', 'Wolters Kluwer (Netherlands) ', 'Temenos (Switzerland) ', 'Feedzai (Portugal) ', 'Featurespace (UK) ', 'ACI Worldwide (US) ', 'Napier (UK) ', 'Trulioo (Canada) ', 'TCS (India) ', 'FRISS (Netherlands)'

The key factor that drives the industry growth includes an increase in money laundering cases across the globe. Anti-money laundering software is used by companies to detect suspicious transactions and customer information. Compliance specialists also utilize the software to comply with corporate policies and government requirements, such as the United States Bank Secrecy Act, which aims to prevent money laundering. For minimizing money laundering activities, anti-money laundering software collects data from a variety of financial transaction management solutions, such as accounting software and ERP systems. Various government bodies across the world such as Financial Action Task Force have enacted regulations and laws to counterterrorism funding and combat money laundering incidents; which further aids the industry growth during the forecast period.

One of the key trends in the global anti-money laundering solution market is the integration of advanced technologies such as AI, ML, and big data analytics in the development of anti-money laundering solutions. The rapid advancements in data science, AI, machine learning, and big data are proving to be particularly useful technologies for anti-money laundering solutions. ML is projected to be particularly useful in the creation of sophisticated financial systems, particularly for detecting hidden patterns and suspicious money-laundering activities. It aids in the detection of money laundering typologies, suspicious transactions, customer behavioral transitions, and customer transactions based on demographics. For addressing important risks related to hyperconnected workplaces, vendors are combining AI and ML principles into their solutions with faster risk identification, mitigation, and response capabilities.