AI in Fraud Management Global Market Report 2024

The AI in fraud management market size has grown rapidly in recent years. It will grow from $10.88 billion in 2023 to $13.05 billion in 2024 at a compound annual growth rate (CAGR) of 20%. The growth observed during the historical period can be attributed to several factors, including the rise in cyber threats and data breaches, increasing transaction volumes, the cost associated with fraud, and heightened awareness and education regarding fraudulent activities.

The AI in fraud management market size is expected to see rapid growth in the next few years. It will grow to $26.51 billion in 2028 at a compound annual growth rate (CAGR) of 19.4%. The projected growth in the forecast period can be attributed to several key factors, including the integration of AI into business processes, advancements in explainable AI technologies, the globalization of fraud, continued regulatory emphasis on fraud prevention, and the integration of real-time data streams for enhanced detection capabilities. Major trends expected during this period include rapid technological advancements, heightened regulatory compliance measures, the establishment of collaborative fraud detection networks, increased adoption of behavioral biometrics for fraud prevention, and the convergence of AI and blockchain technologies to combat fraudulent activities.

The increasing adoption of digital payments and cross-border transactions is poised to drive the growth of the AI in fraud management market in the foreseeable future. The surge in popularity of digital payments and cross-border transactions is fueled by the inherent convenience they offer, enabling users to conduct transactions at their convenience using mobile devices or computers. Integrating AI into fraud management systems is crucial for ensuring the security and reliability of digital payment platforms, safeguarding both users and businesses from fraudulent activities. For example, data from the National Payments Corporation of India (NPCI) reveals a significant increase in the transaction value of Unified Payments Interface (UPI) transactions in 2022, reaching INR 125.95 trillion (USD 1.52 trillion), marking a notable year-on-year growth. Moreover, UPI transactions accounted for over 86% of India's GDP in FY 22, underscoring the pervasive adoption of digital payment solutions. Consequently, the escalating popularity of digital payments and cross-border transactions emerges as a primary driver propelling the growth trajectory of AI in the fraud management market.

Key players in the AI fraud management market are directing their efforts towards technological advancements, particularly in the realm of generative AI-facilitated fraud solutions, to enhance real-time fraud defense capabilities. Generative AI fraud solutions leverage generative AI models to create deceptive content, such as text, images, or voices, to combat identity theft, financial scams, and disinformation. For instance, in October 2023, DataVisor, a US-based fraud and risk detection software developer, introduced the AI Co-Pilot, a generative AI-facilitated fraud solution. This innovative tool leverages Generative AI to automate fraud detection, minimize false positives, and reduce user friction in real-time. By integrating AI Co-Pilot into their fraud prevention strategies, financial institutions and businesses can enhance their ability to detect fraudulent activities while maintaining a seamless client experience. The system offers benefits such as automatic rule tweaking, feature script production and debugging, and rule description generation, bolstering fraud management capabilities and operational efficiency.

In October 2022, SymphonyAI, a leading enterprise AI firm specializing in solutions for financial crime, risk management, and fraud detection, completed the acquisition of NetReveal from BAE Systems, a move strategically aimed at bolstering its foothold in the financial sector. The acquisition, for an undisclosed sum, underscores SymphonyAI's commitment to enhancing its capabilities, particularly in the realm of financial crime detection and prevention. By integrating NetReveal's robust platform with SymphonyAI's advanced Sensa AI technology, the company aims to deliver comprehensive solutions to its clients in the field of risk management and fraud detection. NetReveal, an AI-driven risk management and fraud detection services provider based in the United States, brings a wealth of expertise and functionalities to augment SymphonyAI's offerings.

Major companies operating in the ai in fraud management market are Trusteer, Hewlett Packard Enterprise, BAE Systems plc, Capgemini SE, Cognizant Technology Solutions India Private Limited., SAS Institute Inc., Splunk Inc., Temenos AG, Shift Technology SAS, Pelican Products Inc., Riskified Ltd., NICE Actimize Inc., Jumio Corp., Onfido Ltd., Subex Limited, BehavioSec Inc., Arxan Technologies Inc., Socure Inc., ACTICO GmbH, BioConnect Inc., Matellio Inc., MaxMind Inc., Zest AI Inc., Chargeback.com Inc., Brighterion Inc.

North America was the largest region in the AI in fraud management market in 2023. The regions covered in the ai in fraud management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in fraud management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in fraud management refers to the application of advanced technologies, algorithms, and machine learning techniques to identify, prevent, and mitigate fraudulent activities across various sectors. The primary goal of employing AI in fraud management is to enhance the detection and prevention of fraudulent behavior in real-time, automating the fraud detection process, improving efficiency, and reducing response times to fraudulent activities.

The main solutions for AI in fraud management include AI-powered fraud prevention software and services. These solutions leverage machine learning models to identify anomalies in customer behaviors and connections, enabling real-time detection of fraudulent activities. Enterprises of varying sizes, including small and medium enterprises (SMEs) and large enterprises, utilize these solutions. They find applications in areas such as identity theft protection, payment fraud prevention, anti-money laundering, among others, and are employed across industries including banking, financial services, insurance, telecommunications, healthcare, government, education, retail, consumer packaged goods (CPG), media and entertainment, and others.

The AI in fraud management market research report is one of a series of new reports that provides AI in fraud management market statistics, including AI in fraud management industry global market size, regional shares, competitors with AI in fraud management market share, detailed AI in fraud management market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in fraud management industry. This AI in fraud management 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 AI in fraud management market consist of revenues earned by entities through anomaly detection, machine learning models, predictive maintenance, network analysis, customer profiling, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in fraud management market also includes sales of fraud detection systems, biometric authentication solutions, transaction monitoring platforms, behavioral analytics tools, and predictive maintenance systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.


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