What is the current Transaction Monitoring Market size?

The Transaction Monitoring Market is projected to register a CAGR of 15.10% during the forecast period (2024-2029) Read More

Who are the key players in Transaction Monitoring Market?

Oracle Corporation, SAS Institute Inc., Fair Isaac Corporation (FICO), Protiviti Inc. and IBM Corporation are the major companies operating in the Transaction Monitoring Market. Read More

Which is the fastest growing region in Transaction Monitoring Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029). Read More

Which region has the biggest share in Transaction Monitoring Market?

In 2024, the North America accounts for the largest market share in Transaction Monitoring Market. Read More

What years does this Transaction Monitoring Market cover?

The report covers the Transaction Monitoring Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Transaction Monitoring Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029. Read More

Transaction Monitoring Market Share

Statistics for the 2023 & 2024 Transaction Monitoring market share, created by Mordor Intelligence™ Industry Reports. Transaction Monitoring share report includes a market forecast to 2029 and historical overview. Get a sample of this industry share analysis as a free report PDF download.

Market Share of Transaction Monitoring Industry

The transaction monitoring market is fragmented in nature, and the major players have employed various methods, including introducing new products, expansions, mergers, and acquisitions, among others, which may result in the emergence of a highly competitive market.

In September 2022, FICO announced and granted eleven new patents related to fraud, artificial intelligence (AI)/machine learning (ML), and digital decisioning. The latest 11 patents focus on various software solutions, fraud analytics, and enhanced machine learning algorithms to help its customers build responsible and effective AI decisioning systems leveraging purpose-built AI and ML algorithms.