Transaction Monitoring Systems Transaction Monitoring

Chronicle

2024: Global Transaction Monitoring Market Size Reaches $18 Billion for the Year

In 2024, costs in the global transaction monitoring market amounted to $17.98 billion. Approximately 38% of this amount fell on the North American region. Industry trends are addressed in the Fortune Business Insights survey published May 15, 2025.

By transaction monitoring, the authors of the study mean the process of controlling, analyzing and evaluating financial transactions, including in real time, to identify suspicious or fraudulent activities. Appropriate instruments are used by financial institutions, various businesses and regulators to combat money laundering, detect financial crimes and ensure the security of money transfers.

One of the main drivers of the industry is the deterioration of the cybersecurity situation and the increase in the number of incidents related to theft of funds. Attackers are constantly improving the tactics used to steal money. In particular, fraudsters are adopting advanced artificial intelligence technologies. Financial crimes are becoming increasingly complex, driving demand for transaction monitoring systems. Such tools are able to detect many anomalies and fraudulent schemes. The system can record various deviations from typical customer behavior, such as a sharp increase in the amount or frequency of payments, the transition from standard purchases to high-risk transactions, etc.

AI has a significant impact on the industry. These algorithms are able to analyze vast amounts of data with high efficiency to detect patterns and changes in transactions that may remain invisible to traditional systems. Generative AI helps to reduce the number of false positives of security tools by providing more accurate information about unusual behavior. AI models form profiles of typical customer behavior and compare them to real-time activity to identify deviations. GeneAI plays an important role in identifying new fraud schemes and proactively creating countermeasures. Neural networks help in collecting statistical data for retrospective analysis of incidents and constant optimization of algorithms. Dynamic notification systems are implemented using adaptive thresholds to instantly inform specialists about suspicious situations.

According to the deployment method, the market is segmented into cloud and local solutions. The first type of systems generated the most revenue in 2024 due to their flexibility, scalability, speed of update and cost-effectiveness. On the other hand, local deployments provide full control over sensitive data, which is critical for many organizations. From a geographical point of view, North America is in the lead, which at the end of 2024 showed a result of $6.83 billion. In terms of use, banks, fintech companies, e-commerce enterprises, etc. are distinguished. Banks hold the largest share - 41%. Among the significant players on a global scale are named:

• Oracle;
• Experian Information Solutions;
• SAS Institute;
• FIS;
• Ondato;
• Vespia OU;
• Moody’s Corporation;
• Acuity Knowledge Partners;
• Unit21;
• Fiserv;
• EastNets;
• ACI Worldwide;
• AML Watcher;
• Merkle Science;
• Fenergo;
• CaseWare;
• IdentityMind.

Fortune Business Insights analysts believe that in the future, the CAGR will be 14%. Thus, by 2032, costs may increase to $50.71 billion.^[1]

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