Rising E-Commerce and Regulatory Pressure Drive Growth in U.S. Fraud Detection Software Market

According to the latest market research study published by P&S Intelligence, the U.S. fraud detection software market is experiencing robust growth, valued at USD 6.6 billion in 2024 and projected to reach USD 23.9 billion by 2032, at a remarkable CAGR of 17.6% between 2025 and 2032. This significant growth is driven by the rising sophistication of cyber threats, increased digital transactions, and stringent regulatory frameworks, such as GDPR and PCI DSS, urging businesses to adopt advanced fraud detection systems.

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Digital transformation across sectors has intensified the threat landscape. As consumers increasingly rely on online shopping and mobile wallets, the vulnerability of digital payment systems has surged. The market is responding with sophisticated solutions powered by artificial intelligence (AI), machine learning (ML), and behavioral analytics. These technologies offer real-time monitoring, predictive fraud detection, and anomaly identification, helping organizations preempt threats and protect customer data. Furthermore, compliance mandates and the increasing cost of data breaches are compelling businesses across industries to deploy effective fraud mitigation solutions.

Key Insights

• The software segment leads the market with a 65% share in 2024, driven by high adoption in banking and retail for ML-based and real-time fraud monitoring tools.
• Services are the fastest-growing segment, fueled by rising demand for consulting, implementation, and system optimization to tackle complex fraud scenarios.
• On-premises deployment remains dominant among BFSI, healthcare, and defense sectors due to security and compliance requirements, while cloud-based systems are growing fastest at a 17.9% CAGR, driven by remote accessibility and cost-efficiency.
• Large enterprises hold the largest market share in 2024, benefiting from robust infrastructure to implement comprehensive fraud detection systems. In contrast, SMEs are growing rapidly by leveraging scalable, cloud-based solutions.
• Payment fraud detection is the top application area, focused on combating unauthorized transactions and refund fraud. Cybersecurity and data breach prevention is the fastest-growing application, expanding at an 18.0% CAGR amid increasing cyberattacks.
• BFSI is the largest industry vertical, holding 35% of the market in 2024, as it faces a high volume of identity theft and financial fraud. Retail and e-commerce sectors are expanding rapidly, investing in tools to address refund scams and account takeovers.
• Regionally, the Northeast leads with a 45% market share in 2024 due to the presence of major financial, IT, and public sector institutions demanding advanced fraud solutions.
• The South is the fastest-growing region, driven by economic expansion and rising adoption of digital payments across sectors like retail and telecom.
• The market is fragmented, with both global tech giants and niche players offering customized solutions. While smaller vendors specialize in vertical-specific tools, major firms provide integrated platforms with AI and behavioral analytics.
• Leading companies include IBM Corporation, FICO, SAS Institute Inc., ACI Worldwide, Experian plc, NICE Ltd., LexisNexis Risk Solutions, BAE Systems, Oracle, SAP SE, Visa Inc., and Mastercard Inc.
• Notable developments include Featurespace securing a U.S. patent in December 2024 for its AI-powered fraud detection system, and Overhaul’s launch of FraudWatch in January 2025, tailored for the shipping and logistics sector.

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Creatio and BigML Innovations Spotlight Rising Momentum in U.S. AutoML Sector

According to the latest market research study published by P&S Intelligence, the U.S. automated machine learning (AutoML) market is witnessing a substantial surge, with its size climbing from USD 428.6 million in 2024 to an anticipated USD 535.8 million in 2025. Forecasts project a robust compound annual growth rate (CAGR) of 26% between 2025 and 2032, ultimately reaching an impressive USD 2.70 billion by 2032. This expansion is being fueled by the rising integration of AutoML across industries that seek to enhance operational efficiency, derive actionable insights from complex data, and foster intelligent automation. Notably, the widespread embrace of no-code and low-code platforms is revolutionizing user accessibility, empowering even non-technical professionals to leverage machine learning models independently. Platforms like BigML and Creatio are leading this transformation, offering intuitive interfaces and scalable solutions that meet the demands of both enterprises and SMEs.

The market is also experiencing a significant shift toward cloud-based deployment, which enables faster implementation, lower infrastructure costs, and greater scalability. As cloud-native solutions dominate the landscape, businesses are increasingly drawn to AutoML’s ability to generate insights with minimal human intervention, thereby driving smarter, faster decisions. With strong investments in technology and rising awareness of AI benefits, the AutoML market in the U.S. is primed for exponential growth.

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Key Insights

• Cloud deployment leads the U.S. AutoML market, accounting for nearly 80% of revenue in 2024. Its dominance is attributed to benefits like cost efficiency, simplified updates, and flexible access to resources, making it a preferred choice for companies of all sizes.
• Sales and marketing management holds the largest application share, with nearly 60% of usage in 2024. Companies are leveraging AutoML for customer behavior analysis, personalized marketing campaigns, and improved lead conversion rates.
• The rise of no-code and low-code AutoML platforms is reshaping the development landscape. These tools represent over 70% of software development by democratizing model creation and empowering non-developers to participate in AI initiatives.
• Western U.S. leads the market in terms of revenue generation, driven by the strong presence of tech-forward industries and innovation hubs. Meanwhile, the Northeastern region is expected to witness the fastest growth rate during the forecast period due to increased investment in AI infrastructure and digital transformation initiatives.
• The SME segment is rapidly catching up, as affordable and user-friendly AutoML platforms reduce barriers to entry. SMEs are increasingly adopting AI to streamline operations, enhance customer engagement, and gain competitive advantages.
• Technological advancements are accelerating market dynamics. For instance, BigML introduced its Association Discovery feature in December 2024, enhancing its platform's capabilities in uncovering hidden data relationships.
• Creatio’s successful $200 million funding round in June 2024 highlights growing investor confidence in no-code automation platforms, further propelling AutoML adoption across new industry verticals.
• The AutoML market’s growth trajectory is supported by heightened focus on AI-driven decision-making, rising demand for automated data processing, and the strategic push by organizations to integrate intelligence across their digital ecosystems.
• Companies are prioritizing platforms that offer integration ease, automated preprocessing, and robust data visualization tools, which are essential for scaling AI initiatives across diverse departments.
• The overall ecosystem is maturing, with vendors focusing on enhancing platform interoperability, embedding explainability features, and supporting multi-cloud environments to address evolving business needs.

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