Total spending on third-party Anti-money Laundering (AML) systems is projected to grow by 121 per cent to surpass $75billion globally by 2030, up from $33.9billion in 2025. A new study by technology strategists Juniper Research identified gaps in transaction monitoring and beneficial ownership transparency as two of the key vulnerabilities driving the increased spend.
The report also highlights the significant role banks will play in this market growth, forecasting that they will account for 64 per cent of all AML spending by 2030, spurred by their sustained exposure to complex and evolving regulatory oversight.
AI adoption driven by regulatory complexity
According to the research, increasingly complex regulatory regimes are pushing firms to adopt AI-driven screening and analytics. This technology is being used to strengthen detection capabilities while also addressing the high rates of false positives that are a persistent challenge for compliance teams.
âWith increasingly complex regulatory regimes, firms are turning to AI-driven screening and analytics to strengthen detection while addressing high false-positive rates,â explained Shane OâSullivan, a research analyst at Juniper Research.
Vendor landscape and evolving solutions
As part of its market analysis, Juniper Research also published its AML Systems Competitor Leaderboard, which evaluated 18 key AML system vendors. The top three vendors for 2025 were identified as LexisNexis Risk Solutions, Oracle, and Experian.
The research found that leading AML vendors are expanding the scope of their offerings to meet a broader range of business requirements. Key areas of development include real-time data integration, transaction monitoring for cryptocurrencies and blockchain activity, and the adoption of cloud-based, API-first solutions to improve scalability.
There is also a growing focus on explainable AI to meet regulatory demands for transparency in decision-making processes.
âAML vendors must look to move beyond traditional compliance tools and deliver on intelligent, adaptable systems that can anticipate risks across diverse sectors,â OâSullivan concluded. âBy providing sector-specific risk models and explainable AI, institutions can customise detection rules and justify decisions to regulators; ultimately minimising the impact of financial crime.â
The market research suite from Juniper Research offers a comprehensive assessment of the AML systems market, providing analysis and forecasts based on over 59,000 data points across 61 countries over a five-year period.
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