Artificial Intelligence (AI)-Powered Procurement Fraud Detection Market Report 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.

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.

The increasing adoption of cloud-based solutions is expected to drive the growth of the artificial intelligence (AI)-powered procurement fraud detection market. Cloud-based solutions are services or applications hosted on remote servers and accessed online, allowing users to access computing resources, storage, or software without the need to install them on local systems. These solutions are gaining traction due to their scalability, enabling businesses to quickly adjust resources according to demand, which helps reduce costs and improve efficiency. As the use of cloud-based solutions grows, the volume and complexity of procurement transactions also increase, creating a need for AI-powered fraud detection systems that can analyze large data streams and accurately identify fraudulent activities that traditional methods may miss. For example, in December 2024, CloudKeeper, a US-based cloud cost optimization company, projected that end-user spending on cloud services would reach $723.4 billion in 2025, up from $595.7 billion in 2024, representing a 21.5% year-over-year increase. As a result, the rise of cloud-based solutions is significantly driving the growth of the AI-powered procurement fraud detection market.

Leading companies in the AI-powered procurement fraud detection market are focusing on developing advanced solutions, such as no-code AI agent builders, to offer greater automation, improved 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 example, in June 2025, ORO Labs, a US-based company, launched agentic AI capabilities that enable procurement teams to manage autonomous workflows, strengthen fraud and risk detection, and improve compliance 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 data-driven procurement strategies. By leveraging autonomous workflows and secure data integration, these agentic AI capabilities provide procurement teams with a versatile toolset for managing complex tasks, such as risk triage and fraud detection, with enhanced efficiency and precision.

In October 2023, Basware, a Finland-based software company, acquired Glantus for an undisclosed sum. This acquisition aims to strengthen Basware's position in AI-driven accounts payable automation while expanding its fraud prevention and audit recovery capabilities. The acquisition enhances Basware’s ability to provide greater security and value to customers' financial operations. Glantus, an Ireland-based software company, specializes in AI-powered procurement fraud detection.

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.

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. The countries covered in the artificial intelligence (ai)-powered procurement fraud detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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.

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