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Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Value Growth And Long-Term Outlook
The artificial intelligence (ai)-powered procurement fraud detection market has witnessed substantial expansion in recent years. It is forecast to grow from $2.79 billion in 2025 to $3.61 billion in 2026, achieving a compound annual growth rate (CAGR) of 29.1%. This historical growth can be attributed to the increasing digitization of procurement processes, a rise in procurement fraud incidents, the broader adoption of enterprise data analytics, the expanding use of cloud-based procurement platforms, and enhanced regulatory scrutiny on procurement practices.
The artificial intelligence (AI)-powered procurement fraud detection market is anticipated to experience substantial growth over the next few years, with its size projected to reach $9.92 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 28.8%. This expansion during the forecast period is primarily fueled by the increasing adoption of AI-based governance solutions, a rising demand for real-time fraud prevention tools, the ongoing expansion of cloud-native procurement platforms, growing investments in predictive risk intelligence, and an increasing focus on automated regulatory compliance. Significant trends expected during this period include the rising deployment of AI-driven anomaly detection systems, a greater adoption of predictive procurement risk analytics, the expanding integration of invoice and contract fraud analytics, the enlargement of real-time supplier risk monitoring capabilities, and an enhanced focus on automated compliance and audit controls.
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Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Growth Catalysts And Demand Drivers
The expanding adoption of cloud-based solutions is anticipated to drive the development of the artificial intelligence (AI)-powered procurement fraud detection market moving ahead. These solutions involve services or applications hosted remotely and accessed over the internet, allowing users to utilize computing power, storage, or software without local installation. Their increasing prominence stems from their scalability, which permits businesses to rapidly scale computing resources according to demand, thereby cutting costs and enhancing efficiency. With the expansion of cloud services, the magnitude and intricacy of procurement transactions also increase, necessitating AI-powered fraud detection to effectively process vast amounts of data and precisely identify fraudulent actions beyond the scope of manual techniques. For example, in December 2024, CloudKeeper, a US-based cloud cost optimization firm, forecasted that end-user expenditure on cloud services would hit $723.4 billion in 2025, up from $595.7 billion in 2024, representing a 21.5% year-over-year growth. Consequently, the widespread acceptance of cloud-based solutions is fueling the expansion of the artificial intelligence (AI)-powered procurement fraud detection market.
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Segment Landscape And Growth Outlook
The artificial intelligence (ai)-powered procurement fraud detection market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Invoice Fraud Detection, Vendor Fraud Detection, Payment Fraud Detection, Contract Fraud Detection, Other Applications
5) By End-User: Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail And Electronic-Commerce, Manufacturing, Government, Other End-Users
Subsegments:
1) By Software: Fraud Analytics Platforms, Risk And Compliance Management Tools, Invoice And Payment Fraud Detection Software, Supplier Risk Assessment Tools, Spend Analysis And Audit Solutions
2) By Services: Implementation And Integration Services, Consulting And Advisory Services, Managed Services, Training And Support Services, Risk Monitoring And Compliance Services
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Trends Shaping Long-Term Demand
Leading companies within the artificial intelligence (AI)-powered procurement fraud detection market are concentrating on developing advanced solutions, such as no-code AI agent builders, to deliver heightened automation, stronger risk reduction, and increased operational transparency. A no-code AI agent builder serves as a visual platform, enabling users to design, customize, and deploy intelligent agents without requiring traditional programming expertise. For instance, in June 2025, ORO Labs, a US-based company, introduced agentic AI capabilities that empower procurement teams to orchestrate autonomous workflows, enhance fraud and risk detection, and improve compliance management throughout the source-to-pay cycle. This solution integrates autonomous AI agents, secure enterprise data connectivity, and sophisticated compliance monitoring to reveal complex fraud patterns, boost detection accuracy, and support more data-informed procurement strategies. By leveraging autonomous workflows and secure data integration, these agentic AI capabilities provide procurement teams with a highly adaptable toolset for managing intricate tasks like risk triage and fraud detection with improved efficiency and precision.
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Competitive Landscape: Who Leads The Industry?
Major companies operating in the artificial intelligence (ai)-powered procurement fraud detection market are AppZen Inc., Zycus Infotech Private Limited, Trustpair, Xelix, Oversight Systems Inc., Medius Software AB, Tipalti Inc., SAP SE, Oracle Corporation, IBM Corporation, Workiva Inc., Featurespace Limited, ThetaRay Ltd., Feedzai Inc., Tookitaki Holding Pte Ltd, FICO Corporation, Experian plc, NICE Actimize Ltd., Coupa Software Incorporated, Ivalua Inc
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Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Global Footprint: Which Region Leads The Market?
North America was the largest region in the artificial intelligence (AI)-powered procurement fraud detection market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-powered procurement fraud detection market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.