Designed to make market research more actionable and strategically valuable, The Business Research Company’s 2026 market reports feature market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights.
What Is The Projected CAGR Of The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Through 2030?
The artificial intelligence (AI)-powered procurement fraud detection market has seen substantial growth in recent years. It is projected to expand from $2.79 billion in 2025 to $3.61 billion in 2026, achieving a compound annual growth rate (CAGR) of 29.1%. This historical expansion can be attributed to the increasing digitization of procurement processes, a rise in procurement fraud incidents, broader adoption of enterprise data analytics, the growing utilization of cloud-based procurement platforms, and heightened regulatory scrutiny on procurement practices.
The artificial intelligence (ai)-powered procurement fraud detection market is projected to experience substantial growth over the next few years, with its size anticipated to reach $9.92 billion in 2030, driven by a compound annual growth rate (CAGR) of 28.8%. This expansion is attributed to several factors, including the increasing adoption of AI-based governance solutions, a rising demand for real-time fraud prevention tools, the broader expansion of cloud-native procurement platforms, growing investments in predictive risk intelligence, and an increasing focus on automated regulatory compliance. Furthermore, major trends for the forecast period encompass the increasing deployment of ai-driven anomaly detection systems, a rising adoption of predictive procurement risk analytics, the growing integration of invoice and contract fraud analytics, the expansion of real-time supplier risk monitoring, and an enhanced focus on automated compliance and audit controls.
Claim Your Free Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Sample Report With Key Data And Trends:
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Demand Analysis: The Driving Force Behind Expansion
The increasing adoption of cloud-based solutions is anticipated to drive the expansion of the artificial intelligence (AI)-powered procurement fraud detection market moving ahead. These solutions refer to services or applications hosted remotely and accessed via the internet, allowing users to utilize computing resources, storage, or software without local installation. Their rise is attributed to inherent scalability, which empowers businesses to flexibly scale computing resources according to demand, thereby decreasing costs and enhancing operational efficiency. With the expansion of cloud-based solutions, the volume and intricate nature of procurement transactions increase, necessitating AI-powered fraud detection to effectively analyze vast data streams and precisely identify fraudulent activities beyond the scope of manual detection. For example, data from CloudKeeper, a US-based cloud cost optimization firm, indicated in December 2024 that end-user expenditure on cloud services is forecasted to hit $723.4 billion in 2025, up from $595.7 billion in 2024, representing a 21.5% year-over-year growth. Consequently, the increasing appeal of cloud-based solutions is fueling the expansion of the artificial intelligence (AI)-powered procurement fraud detection market.
Breaking Down The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market By Segment
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
Top Trend Influencing The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Outlook
Major companies operating in the artificial intelligence (AI)-powered procurement fraud detection market are focusing on developing advanced solutions, such as no-code AI agent builders, to deliver greater automation, stronger risk mitigation, and enhanced operational transparency. A no-code AI agent builder is a visual platform that allows users to design, customize, and deploy intelligent agents without the need for traditional programming. For instance, in June 2025, ORO Labs, a US-based company, introduced agentic AI capabilities that enable procurement teams to orchestrate autonomous workflows, strengthen 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 advanced compliance monitoring to uncover complex fraud patterns, increase detection accuracy, and support more data-driven procurement strategies. By leveraging autonomous workflows and secure data integration, these agentic AI capabilities offer procurement teams a highly versatile toolset for managing complex tasks such as risk triage and fraud detection with improved efficiency and precision.
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Competitive Landscape And Major Players
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
Read The Full Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Report By The Business Research Company:
Where Is The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Largest? Key Regional Insights
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.
Reach Out To Our Team:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

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.
