Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Report 2026

Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Overview

• Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention market size has reached to $7.73 billion in 2025 • Expected to grow to $55.66 billion in 2030 at a compound annual growth rate (CAGR) of 48.2% • Growth Driver: Increasing Volume Of Cashless Payment And Transaction Fueling The Growth Of The Market Due To Enhanced Security Needs In Fraud Detection And Prevention • Market Trend: Advancements In Agentic AI For Real-Time Fraud Detection And Financial Crime Prevention • North America was the largest region in 2025.

What Is Covered Under Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market?

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. The main component types of agentic artificial intelligence (AI) in fraud detection and prevention are solutions and services. Fraud detection solutions leverage AI-powered analytics and self-learning Agentic AI to identify, assess, and prevent fraud with evolving precision and minimal human input. These solutions are operated by different organizations such as small and medium-sized enterprises and large enterprises for various applications including identity theft, money laundering, payment fraud, and others. It is used by several verticals such as banking, financial services and insurance, government and defense, healthcare, information technology and telecom, industrial and manufacturing, retail and e-commerce, and others.

What Is The Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Growth Forecast?

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 $55.66 billion in 2030 at a compound annual growth rate (CAGR) of 48.2%. The growth in the forecast period can be attributed to deployment of agentic AI fraud engines, increasing payment digitization, demand for real time fraud prevention, integration with regtech platforms, evolving fraud tactics. Major trends in the forecast period include autonomous fraud response systems, real time transaction risk assessment, self learning fraud detection agents, behavioral anomaly identification, cross platform fraud intelligence.

Global Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Segmentation

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

What Is The Driver Of The Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market?

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.

Key Players In The Global 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

Global Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Trends and Insights

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.

What Are Latest Mergers And Acquisitions In The Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market?

In January 2025, Chainalysis, a US-based blockchain analytics company, acquired Alterya for $150 million. Through this acquisition, Chainalysis aims to enhance its ability to combat financial fraud by integrating Alterya’s advanced AI-driven fraud detection models and extensive scammer data infrastructure with its blockchain analytics capabilities, enabling real-time interception of fraudulent transactions. Alterya is an Israel-based technology startup that uses AI agents for fraud detection.

Regional Insights

North America was the largest region in the agentic artificial intelligence (AI) in fraud detection and prevention market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Agentic Artificial Intelligence (AI) In Fraud Detection And Prevention Market Report 2026?

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 market statistics, including industry global market size, regional shares, competitors with the market share, detailed 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. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.