
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Report 2026
Global Outlook – By Component (Software, Services), By Deployment Mode (On-Premises, Cloud), By Organization Size (Small And Medium Enterprises, Large Enterprises), By Application (Invoice Fraud Detection, Vendor Fraud Detection, Payment Fraud Detection, Contract Fraud Detection, Other Applications), By End-User (Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail And Electronic-Commerce, Manufacturing, Government, Other End-Users) – Market Size, Trends, Strategies, and Forecast to 2035
Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Overview
• Artificial Intelligence (AI)-Powered Procurement Fraud Detection market size has reached to $2.79 billion in 2025 • Expected to grow to $9.92 billion in 2030 at a compound annual growth rate (CAGR) of 28.8% • Growth Driver: Rising Adoption Of Cloud-Based Solutions Fueling The Growth Of The Market Due To Increasing Transaction Complexity • Market Trend: Advancing Procurement Fraud Detection With No-Code Agentic AI Capabilities • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market?
Artificial intelligence (AI)-powered procurement fraud detection refers to the application of AI technologies such as machine learning, natural language processing, pattern recognition, and predictive analytics to automatically identify, flag, and prevent fraudulent activities in procurement operations. It involves examining large volumes of procurement data, including purchase orders, invoices, contracts, supplier communications, and transaction histories, to uncover anomalies, suspicious trends, or inconsistencies that may signal fraud or unethical practices. The main components of artificial intelligence (AI)-powered procurement fraud detection include software and services. Software refers to a collection of programmed digital instructions enabling computers to perform specific procurement tasks, manage workflows, process data, and deliver automated operations efficiently. It uses various deployment modes, including on-premises and cloud, and is used by small and medium enterprises and large enterprises. It is applied for invoice fraud detection, vendor fraud detection, payment fraud detection, contract fraud detection, and others by several end users, including banking, financial services, and insurance (BFSI), healthcare, retail and electronic-commerce, manufacturing, government, and others.
What Is The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Size and Share 2026?
The artificial intelligence (ai)-powered procurement fraud detection market size has grown exponentially in recent years. It will grow from $2.79 billion in 2025 to $3.61 billion in 2026 at a compound annual growth rate (CAGR) of 29.1%. The growth in the historic period can be attributed to increasing digitization of procurement processes, rising incidents of procurement fraud, expansion of enterprise data analytics adoption, growing use of cloud-based procurement platforms, increased regulatory scrutiny on procurement practices.What Is The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Growth Forecast?
The artificial intelligence (ai)-powered procurement fraud detection market size is expected to see exponential growth in the next few years. It will grow to $9.92 billion in 2030 at a compound annual growth rate (CAGR) of 28.8%. The growth in the forecast period can be attributed to increasing adoption of AI-based governance solutions, rising demand for real-time fraud prevention tools, expansion of cloud-native procurement platforms, growing investments in predictive risk intelligence, increasing focus on automated regulatory compliance. Major trends in the forecast period include increasing deployment of ai-driven anomaly detection systems, rising adoption of predictive procurement risk analytics, growing integration of invoice and contract fraud analytics, expansion of real-time supplier risk monitoring, enhanced focus on automated compliance and audit controls.Global Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Segmentation
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 ServicesWhat Is The Driver Of The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market?
The growing popularity of cloud-based solutions is expected to propel the growth of the artificial intelligence (AI)-powered procurement fraud detection market going forward. Cloud-based solutions are services or applications hosted on remote servers and accessed online, enabling users to use computing resources, storage, or software without installing them on local systems. Cloud-based solutions are rising as they offer scalability, allowing businesses to quickly adjust computing resources up or down based on demand, which reduces costs and improves efficiency. As cloud-based solutions expand, the volume and complexity of procurement transactions grow, creating a need for AI-powered fraud detection to efficiently analyze massive data streams and accurately detect fraudulent activities that manual methods cannot catch. For instance, in December 2024, according to CloudKeeper, a US-based cloud cost optimization company, in 2025, end-user spending on cloud services is projected to reach $723.4 billion, compared to $595.7 billion in 2024, reflecting a 21.5% year-over-year increase. Therefore, the growing popularity of cloud-based solutions is driving the growth of the artificial intelligence (AI)-powered procurement fraud detection industry.Key Players In The Global Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market
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 IncGlobal Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Trends and Insights
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.What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market?
In October 2023, Basware, a Finland-based software company, acquired Glantus for an undisclosed sum. Through this acquisition, Basware is aiming to reinforce its leadership in AI-driven accounts payable automation while broadening its fraud prevention and audit recovery capabilities. The acquisition enhances Basware’s ability to deliver greater security and value across customers’ financial operations. Glantus is an Ireland-based software company specializing in artificial intelligence (AI)-powered procurement fraud detection.Regional Outlook
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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.What Defines the Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market?
The artificial intelligence (AI)-powered procurement fraud detection market includes revenues earned by entities by providing services such as contract compliance monitoring, relationship analysis, pattern analysis, automated investigation, and risk management. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.How is Market Value Defined and Measured?
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.What Key Data and Analysis Are Included in the Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Report 2026?
The artificial intelligence (ai)-powered procurement fraud detection market research report is one of a series of new reports from The Business Research Company that provides market statistics, including Market Report 2026?global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai)-powered procurement fraud detection Market Report 2026? The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the Market Report 2026?Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $3.61 billion |
| Revenue Forecast In 2035 | $9.92 billion |
| Growth Rate | CAGR of 29.1% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Component, Deployment Mode, Organization Size, Application, End-User |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | 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 |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
