AI in Fraud Management Market Size, Share, and Trends 2024 to 2033

AI in Fraud Management Market Size and Forecast

The global AI in fraud management market size was USD 10.48 billion in 2023, calculated at USD 12.42 billion in 2024 and is expected to reach around USD 57.32 billion by 2033, expanding at a CAGR of 18.52% from 2024 to 2033. The rising demand for an efficient fraud management system that drives the growth of the AI in fraud management market.

AI in Fraud Management Market Key Takeaways

• The North America AI in fraud management market size reached USD 3.56 billion in 2023 and is expected to attain around USD 19.78 billion by 2033, poised to grow at a CAGR of 18.70% between 2024 and 2033.
• North America led the global AI in fraud management market with the largest revenue share of 34% in 2023.
• Asia Pacific is expected to witness the fastest growth in the market during the forecast period.
• By solution, the AI-powered fraud prevention software segment has held a major revenue share of 75% in 2023.
• By application, the identity theft protection segment was estimated to account for the highest share of the market in 2023.
• By enterprises, the large enterprises segment has contributed more than 65% in 2023.
• By industry, the BFSI segment has recorded more than 27% of revenue share in 2023.

U.S. AI in Fraud Management Market Size and Growth 2024 to 2033

The U.S. AI in fraud management market size was exhibited at USD 2.49 billion in 2023 and is projected to be worth around USD 13.94 billion by 2033, poised to grow at a CAGR of 18.79% from 2024 to 2033.

North America led the global AI in fraud management market in 2023. The growth of the market is attributed to the rising digitization in the industries, the acceptance of online services, and online fraud cases that are driving the demand for an efficient fraud management system that boosts the growth of the market. The higher availability of AI service providers in fraud management in regional countries like the United States is driving further expansion of the market. The rising demand for artificial intelligence in fraud management from the various end-use industries such as healthcare, retail, manufacturing, e-commerce, and others is fueling the growth of the AI in fraud management market in the region.

Asia Pacific is expected to witness the fastest growth in the AI in fraud management market during the forecast period. The growth of the market in the region is increasing due to the rising fraudulent activities in banking and financial institutions, which are driving the demand for artificial intelligence (AI) in fraud management systems for detecting and analyzing anomalies in transactions. The rising integration of AI into various other applications is driving the growth of the market.

Market Overview

The increasing trends towards the online lifestyle and use of online applications and the rising cases of fraud cases, cyberattacks, and others are driving the demand for efficient and effective technology for fraud management. Artificial intelligence plays a vital role in fraud management. The integration of smart and modern technologies, such as AI and machine learning (ML) algorithms, can help detect and analyze anomalies that may indicate fraudulent activities.

AI-powered fraud management helps in analyzing and detecting the various types of fraud, such as identity theft, payment fraud, and phishing attacks. Thus, the rising adoption of online services and the increasing concern about cyberattacks are driving the growth of the AI in fraud management market.

• According to the CompTIA IT Industry Outlook 2024 report, there are 22% of the industries are leveraging AI into the wide range of technology products and business.
• According to the Forbes Advisor, 51% of organizations adopt AI to help with cybersecurity and fraud management.

AI in Fraud Management Market Growth Factors

• The rising concern about security threats and the increasing cases of cyber fraud and cyberattacks in several end-use industries such as BFSI, manufacturing, healthcare, and others are driving the growth of the AI in fraud management market.
• The rising inclination towards digitization and technological adoption in various industrial operations and the trend towards online payment and online transactions drive the demand for enhanced safety technologies that drive the growth of the AI in fraud management market.
• The rising adoption of online services such as e-commerce platforms, online banking, and other online applications has resulted in an increased number of fake applications and fraud cases that further boost the growth of the market.
• The increasing trends towards online banking applications that totally rely on mobile applications like statement reviews, online payments, providing feedback, lodging complaints, and others are demands for an efficient security management system for fraud management that drives the growth of the AI in fraud management market.
• The increasing research on the development and integration of artificial intelligence into the various applications that drives the growth of the AI in fraud management market.

AI in Fraud Management Market Scope

AI in Fraud Management Market Dynamics

Driver

Benefits associated with the integration of AI in fraud management system

The rising adoption of the AI in the several end-use industries for the enhancement in operation and efficiency in productivity are contributing in the growth of the AI in fraud management market. The increasing cases of cyber threats, data theft, identity theft, and other cybercrimes in different industries are driving the demand for an effective solution that integrates AI into the fraud management system to detect and analyze fraudulent activities efficiently.

The integration of fraud management into artificial intelligence and machine learning is working on the principles of learning from data, such as data processing, data collection, training, detection, and feedback loop. Further, there are several types of fraud detected by artificial intelligence, including credit card fraud, identity theft, insurance fraud, account takeover, phishing attacks, payment fraud, and money laundering. Thus, all these benefits of the AI in fraud management market drives the expansion of the market into several industries.

• In 2024, OrboGraph, a leading provider of fraud detection software and services and check processing automation, successfully launched the Advanced Fraud Solutions TrueChecks® within its OrboAnywhere Sherlock 5.3. Its launch is part of an open consortium strategy to minimize deposit and on-us fraud across the industry.

Restraint

Lack of awareness

The lack of awareness about the technologies and the insufficiency of professionally skilled forces to operate the technology is limiting the growth of the AI in fraud management market.

Opportunity

Advancement in technologies

The advancement in AI technologies, such as predictive analytics and automation, enhanced the efficiency of fraud management systems. Predictive analytics leverages large amounts of data to detect and analyze anomalies and patterns that are suspicious of fraudulent activities. Automation involves reducing information technologies and control systems to minimize human participation in operations. Automation offers efficient analysis and processing of large amounts of data. Thus, the integration of AI tools like predictive analytics and automation revolutionizes fraud management and drives the opportunity for the growth of the AI in fraud management market.

• In May 2024, Pay UK and Visa, a leading player in digital payment, used the latest AI technology to cut down the £600m1 lost annually to account frauds and scams in the UK.

Solution Insights

The AI-powered fraud prevention software segment dominated the AI in fraud management market in 2023. The increase in online service applications, the inclination towards digitization, and the rising fraudulent activities are driving the demand for AI-powered fraud prevention software. The AI-powered fraud prevention software works on the principle of machine learning, which aims to detect and analyze anomalies and behaviors that indicate fraud. The system analyzes the transaction data, patterns, and user behavior. There are several stages or mechanisms used in AI fraud prevention software, including data collection, model training, feature engineering, anomaly detection, continuous learning, and alerting and reporting.

AI fraud prevention software is divided into two major categories: on-premise and cloud-based. There are several benefits associated with AI fraud prevention software, such as providing real-time prevention and detection, enhancing accuracy and efficiency, and cost reduction. There are several end-use industries that are adopting AI-powered fraud prevention software to prevent data theft or any type of cyberattack that contributed to the expansion of the segment in the market.

Application Insights

The application segment is further divided into identity theft protection, payment fraud management, and anti-money laundering, in which the identity theft protection segment was estimated to account for the highest share of the market in 2023. The rise in digitization has resulted in a rising number of identity theft cases. Identity theft is impacting both customers and the financial institutions. It can cause legal issues, financial losses, and damage to institutions. The AI in fraud management market provides practical solution for the same.

The AI in fraud management market plays a crucial role in detecting and minimizing identity theft. The integration of technologies such as data analytics, machine learning, and real-time monitoring, as well as artificial intelligence, completely revolutionizes the process of prevention and identification of fraud. AI helps prevent and detect fraudulent activities using a large amount of data; it identifies patterns and problems that can suggest fraudulent activities. AI platforms help companies prevent identity theft.

Enterprises Insights

The large enterprises segment dominated the AI in fraud management market in 2023. The rising adoption of digitization and adaptation of technologies are driving the demand for the AI in fraud management.

The increasing adoption of artificial intelligence in fraud management in the end-use industries such as healthcare, automotive, manufacturing, and others is driving the expansion of the market. The higher availability of complexities in operation, the increasing number of fraud cases, and the investment in technologies boost the growth of the market.

Industry Insights

The BFSI segment dominated the global AI in fraud management market in 2023. The increasing adoption of digitization and artificial intelligence in the banking and financial sector for enhancement in operations, customer experience, and efficiency in other services. The BFSI sector is highly experienced with security threats in terms of customer data, payment transactions, fraudulent transactions, and other issues that drive the demand for the technologically advanced fraud management system that drives the growth of the market.

AI in Fraud Management Market Companies 

• IBM Corporation
• Cognizant
• Temenos AG
• Capgemini SE
• Subex Limited
• JuicyScore
• Hewlett Packard Enterprise
• Maxmind, Inc.
• BAE Systems plc
• Pelican
• SAS Institute, Inc.
• Splunck Inc.
• DataVisor, Inc.
• Matellio, Inc.
• ACTICO Gmbh.

Recent Developments

• In May 2024, Swift announced the introduction of AI-based experiments by partnering with member banks to explore how technology can analyze and fight against cross-border payment fraud and save billions in fraud-related costs.
• In June 2024, CLARA Analytics, a major player in the artificial intelligence (AI) technology for insurance claim optimization, launched the innovatory latest fraud detection product that uses the company’s AI platform and large workers’ compensation datasets to enhance visibility into defective or suspicious claims.
• In May 2024, Mangopay, a flexible and modular payment provider for the platform, launched its new Fraud Prevention solution. The launch possesses integrated and payment processor-agnostic AI-driven cybersecurity solutions for securing against a wide range of threats such as reseller fraud, account takeover by both bots and humans, chargebacks, payment fraud, and return abuse.

Segments Covered in the Report

By Solution

• AI-powered Fraud Prevention Software
  • Cloud-bases
  • On-premise
• Services
  • Risk Assessment Services
  • Fraud And Risk Consulting
  • Integration & Implementation
  • Support & Maintenance
  • Managed Services

By Application

• Identity Theft Protection
• Payment Fraud Prevention
• Anti-Money Laundering
• Others

By Enterprises

• Large Enterprises
• Small and Medium Enterprises

By Industry

• BFSI
• IT and Telecom
• Healthcare
• Government
• Education
• Retail and CPG
• Media and Entertainment
• Others

By Geography

• North America
• Asia Pacific
• Europe
• Latin America
• Middle East & Africa