PUBLISHER: The Business Research Company | PRODUCT CODE: 1750898
PUBLISHER: The Business Research Company | PRODUCT CODE: 1750898
Agentic artificial intelligence (AI) in fraud detection and prevention refers to the deployment of AI systems with autonomous decision-making capabilities to detect, analyze, and respond to fraudulent activities. These agentic AI systems surpass traditional rule-based approaches by continuously monitoring transactions, learning from evolving patterns, adapting to emerging fraud techniques, and taking preventive or corrective actions independently, without constant human oversight. By leveraging technologies such as machine learning, anomaly detection, and natural language processing, agentic AI can assess risks in real-time, flag suspicious behavior, and interact with other systems or users to mitigate threats effectively.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The main component types of agentic AI in fraud detection and prevention include solutions and services. Fraud detection solutions utilize AI-driven analytics and self-learning agentic AI to detect, evaluate, and prevent fraud with increasing accuracy and minimal human intervention. These solutions are employed by various organizations, including small and medium-sized enterprises as well as large enterprises, for applications such as identity theft, money laundering, payment fraud, and more. They are adopted across multiple sectors, including banking, financial services and insurance (BFSI), government and defense, healthcare, information technology and telecom, industrial and manufacturing, retail and e-commerce, among others.
The agentic artificial intelligence (AI) in fraud detection and prevention market research report is one of a series of new reports from The Business Research Company that provides agentic artificial intelligence (AI) in fraud detection and prevention market statistics, including the agentic artificial intelligence (AI) in fraud detection and prevention industry global market size, regional shares, competitors with the agentic artificial intelligence (AI) in fraud detection and prevention market share, detailed agentic artificial intelligence (AI) in fraud detection and prevention market segments, market trends, and opportunities, and any further data you may need to thrive in the agentic artificial intelligence (AI) in fraud detection and prevention industry. This agentic artificial intelligence (AI) in fraud detection and prevention market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The agentic artificial intelligence (AI) in fraud detection and prevention market size has grown exponentially in recent years. It will grow from$5.19 billion in 2024 to $7.76 billion in 2025 at a compound annual growth rate (CAGR) of 49.4%. The growth during the historic period can be attributed to the rise in digital transactions, an increase in cyber fraud incidents, the adoption of machine learning in security measures, regulatory initiatives promoting fraud prevention, and the growing dependence on online banking.
The agentic artificial intelligence (AI) in fraud detection and prevention market size is expected to see exponential growth in the next few years. It will grow to$38.28 billion in 2029 at a compound annual growth rate (CAGR) of 49.0%. The growth anticipated in the forecast period can be attributed to the expansion of real-time payment systems, the rising use of biometric authentication, increased adoption of AI in financial security, stricter compliance regulations, and the growing penetration of digital wallets. Key trends expected during this period include advancements in deep learning algorithms, innovations in AI-driven fraud detection, ongoing research and development in predictive analytics, the emergence of explainable AI models, and technological progress in real-time transaction monitoring.
The growing volume of cashless payments and transactions is expected to drive significant growth in the agentic artificial intelligence (AI) fraud detection and prevention market. Cashless transactions, which include digital payments via cards, mobile apps, and online platforms, are rapidly replacing physical cash due to their convenience, speed, and user-friendly nature. However, this rise in digital transactions also brings heightened security risks, increasing the need for advanced fraud detection systems. Agentic AI enhances the security of these transactions by continuously monitoring activity in real-time, quickly identifying anomalies and suspicious behavior. These systems adapt to evolving fraud patterns, significantly reducing the risk of financial losses and increasing user trust in digital payments. For example, in January 2025, the European Central Bank reported that cashless payments in the euro area reached 72.1 billion transactions in 2024-a 7.4% increase from 2023. The total value of these transactions rose by 1.9%, totaling €113.5 trillion (approximately $124.42 trillion). This growth underscores the critical need for robust fraud detection solutions powered by agentic AI.
To address the growing threat of financial fraud, major companies in the agentic AI space are investing in advanced technologies that improve real-time fraud detection capabilities. One such innovation is the development of comprehensive financial crime-fighting arsenals-integrated platforms that leverage analytics, machine learning, regulatory compliance tools, and AI to detect and prevent illicit financial activities. For instance, in April 2025, NICE Actimize, a US-based software company, launched its enhanced X-Sight ActOne platform, powered by agentic AI. This next-generation platform incorporates machine learning, natural language processing (NLP), and generative AI to automate investigative workflows, boost analytical precision, and reduce fraud investigation time by over 50%. The platform processes billions of daily transactions, offering predictive insights while maintaining strict compliance through robust encryption and access control protocols.
In January 2025, Chainalysis, a US-based blockchain analytics firm, acquired Alterya, an Israel-based AI technology startup, for $150 million. This strategic acquisition is aimed at bolstering Chainalysis's fraud prevention capabilities by combining Alterya's sophisticated AI agent-based fraud detection models and rich scammer data infrastructure with Chainalysis's expertise in blockchain analytics. The integration will enable real-time identification and interception of fraudulent transactions across financial systems, significantly enhancing protection against financial crime.
Major players in the agentic artificial intelligence (ai) in fraud detection and prevention market are Dell Technologies Inc., Oracle Corporation, Salesforce Inc., Nvidia Corporation, Capgemini SE, BAE Systems plc, Global Payments Inc, Experian plc, Moody's Corporation, Equifax Inc., SAS Institute Inc., ACI Worldwide Inc., Fair Isaac Corp, Software AG, NICE Actimize, LeewayHertz, Inscribe AI, SEON Technologies Kft, Feedzai, Sift.
North America was the largest region in the agentic artificial intelligence (AI) in fraud detection and prevention market in 2024. The regions covered in agentic artificial intelligence (AI) in fraud detection and prevention report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the agentic artificial intelligence (AI) in fraud detection and prevention market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The agentic artificial intelligence (AI) in fraud detection and prevention market includes revenues earned by entities through real-time risk scoring, behavioral analysis and user profiling, automated alerts and actions, compliance monitoring, and reporting. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on agentic artificial intelligence (ai) in fraud detection and prevention market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for agentic artificial intelligence (ai) in fraud detection and prevention ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The agentic artificial intelligence (ai) in fraud detection and prevention market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.