Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Size Expansion: Projected to Hit $10.2 Billion by 2029 with 44.5% Growth

 The Business Research Company’s report on the Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.

 
 What are the primary drivers fueling the growth of the agentic artificial intelligence (ai) in fraud detection and prevention market in recent years?
 The increasing demand for cashless payments and transactions is expected to propel the growth of agentic artificial intelligence (AI) in the fraud detection and prevention market in the future. Cashless payments and transactions involve electronic financial exchanges that eliminate the need for physical cash, utilizing digital methods such as cards, mobile applications, or online platforms. The rise of cashless payments and transactions is driven by their convenience and speed, allowing users to make quick and secure payments without relying on physical cash. Agentic AI enhances the security of cashless payments by continuously monitoring transactions for real-time anomalies. It swiftly detects and responds to fraudulent behavior, reducing the risk of financial loss. The system adapts to evolving fraud tactics, ensuring robust protection. This builds trust in digital payment systems, encouraging wider adoption. For instance, in January 2025, according to the European Central Bank, a Germany-based central bank, in 2024, cashless payments in the euro area reached 72.1 billion transactions, marking a 7.4% increase from 2023. Further, the total value of these transactions rose by 1.9%, amounting to €113.5 trillion (approximately $124.42 trillion). Therefore, the increasing demand for cashless payments and transactions drives the growth of agentic artificial intelligence (AI) in the fraud detection and prevention market.
 
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 What is the projected market size of the agentic artificial intelligence (ai) in fraud detection and prevention industry, and how is it expected to grow?
 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 in the historic period can be attributed to a rise in digital transactions, increasing cyber fraud cases, adoption of machine learning in security, regulatory push for fraud prevention, and growing reliance 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 in the forecast period can be attributed to the expansion of real-time payment systems, rising use of biometric authentication, increasing AI adoption in financial security, stricter compliance regulations, and growing penetration of digital wallets. Major trends in the forecast period include advancements in deep learning algorithms, innovations in AI-driven fraud detection, continuous research and development in predictive analytics, the development of explainable AI models, and technological advancements in real-time transaction monitoring.
 
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 Who are the key players driving competition in the agentic artificial intelligence (ai) in fraud detection and prevention market?
 Major companies operating 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
 
 What key trends are expected to drive the agentic artificial intelligence (ai) government market during the forecast period?
 Major companies operating in the agentic artificial intelligence (AI) in fraud detection and prevention market are focusing on developing advanced solutions such as the financial crime-fighting arsenal to enhance real-time fraud detection, improve accuracy, and minimize false positives in financial transactions. A financial crime-fighting arsenal is a collection of tools, technologies, and strategies, including advanced analytics, compliance frameworks, and regulatory measures, designed to detect, prevent, and combat illicit financial activities. For instance, in April 2025, NICE Actimize, a US-based Software company, introduced its next-generation X-Sight ActOne platform, enhanced by Agentic AI technology to revolutionize fraud and financial crime prevention. This platform integrates advanced AI capabilities, including Machine Learning, NLP, and Generative AI, to automate workflows, improve analytic precision, and reduce investigation time by over 50%. Leveraging billions of daily transactions and global fraud insights, it offers predictive, proactive analysis while ensuring compliance with privacy regulations through robust encryption and access controls.
 
 Which key geographies are driving the growth of the agentic artificial intelligence (ai) in fraud detection and prevention market?
 North America was the largest region in the agentic artificial intelligence (AI) in fraud detection and prevention market in 2024. The regions covered in the agentic artificial intelligence (AI) in fraud detection and prevention market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
 
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 What are the key segments driving growth in the agentic artificial intelligence (ai) in fraud detection and prevention market?
 The agentic artificial intelligence (AI) in fraud detection and prevention market covered in this report is segmented –
 
 1) By Component: Solutions, Services
 2) By Organization: Small And Medium-sized Enterprises, Large Enterprises
 3) By Application: Identity Theft, Money Laundering, Payment Fraud, Other Applications
 4) By Vertical: Banking, Financial Services And Insurance, Government And Defense, Healthcare, Information Technology And Telecom, Industrial and Manufacturing, Retail And E-Commerce, Other Verticals
 
 Subsegments:
 1) By Solutions: Fraud Analytics, Identity Verification, Transaction Monitoring, Behavioral Biometrics, Risk Scoring And Profiling, Case Management
 2) By Services: Professional Services, Managed Services, Consulting Services, Support And Maintenance, System Integration
 
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 How is the agentic artificial intelligence (ai) in fraud detection and prevention market defined, and what are its core characteristics?
 Agentic artificial intelligence (AI) in fraud detection and prevention refers to the use of AI systems that operate with a degree of autonomy and decision-making capability to identify, analyze, and respond to fraudulent activities. These agentic AI systems go beyond traditional rule-based models by actively monitoring transactions, learning from patterns, adapting to new fraud tactics, and initiating preventive or corrective actions without constant human intervention. Agentic AI assesses risks in real-time, flags suspicious behaviors, and even interacts with other systems or users to mitigate threats by leveraging machine learning, anomaly detection, and natural language processing techniques.
 
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