Artificial Intelligence-Powered Supplier Risk Management Market Global Report 2026

The artificial intelligence-powered supplier risk management market size has grown exponentially in recent years. It will grow from $3.94 billion in 2025 to $4.82 billion in 2026 at a compound annual growth rate (CAGR) of 22.2%. The growth in the historic period can be attributed to globalization of supply chains, rise of outsourcing and offshoring models, COVID-19 driven supply chain disruptions, increasing supplier consolidation, tightening procurement compliance requirements.

The artificial intelligence-powered supplier risk management market size is expected to see exponential growth in the next few years. It will grow to $10.58 billion in 2030 at a compound annual growth rate (CAGR) of 21.7%. The growth in the forecast period can be attributed to nearshoring and regionalization of supply chains, rising trade restrictions and tariff volatility, supplier diversification and resilience planning, expansion of trade finance and risk insurance solutions, increasing frequency of global supply shocks and disruptions. Major trends in the forecast period include supplier financial health and credit risk scoring, multi-tier supplier dependency mapping, geopolitical disruption and sanctions risk monitoring, procurement fraud and contract anomaly detection, commodity price volatility and procurement cost risk analysis.

The increasing cybersecurity threats across third-party vendor networks are expected to propel the growth of the artificial intelligence-powered supplier risk management market going forward. Cybersecurity threats across third-party vendor networks refer to potential cyber risks and attacks that originate from or exploit vulnerabilities in external suppliers, service providers, contractors, or business partners connected to an organization's systems, data, or digital assets. The increasing cybersecurity threats across third-party vendor networks are driven by growing digital interconnectivity, which expands the number of access points and exposes organizations to greater risks from vulnerable suppliers, partners, and external service providers. Artificial intelligence-powered supplier risk management helps mitigate cybersecurity threats across third-party vendor networks by continuously monitoring vendor activities, identifying vulnerabilities in real time, and enabling proactive risk detection and response throughout the supply chain. For instance, in November 2025, according to Recorded Future Inc., a US-based cybersecurity company, third-party risk intensified, with 30% of data breaches in 2024 linked to third-party vendors, representing double the rate recorded in the previous year. Therefore, the increasing cybersecurity threats across third-party vendor networks are driving the growth of the artificial intelligence-powered supplier risk management market.

Key companies operating in the artificial intelligence-powered supplier risk management market are focusing on developing innovative platforms, such as artificial intelligence-powered third-party risk management tools, to improve supplier risk visibility, strengthen compliance management, and enhance supply chain resilience. An artificial intelligence-powered third-party risk management tool is a software solution that uses artificial intelligence to identify, assess, monitor, and mitigate risks associated with suppliers, vendors, and external business partners in real time. For example, in March 2026, APEX Analytix LLC, a US-based supply chain risk management software company, launched Risk Response Agent, an innovative artificial intelligence-powered third-party risk management tool designed to automate risk detection and remediation workflows. The platform generates AI-driven supplier risk profile summaries highlighting compliance strengths, vulnerabilities, and exposure levels, while also providing policy-aligned risk resolution recommendations to accelerate remediation. It includes automated task creation capabilities that identify low-scoring supplier risk areas based on predefined thresholds and initiate corrective actions automatically. Additionally, the solution can auto-populate security and risk assessment questionnaires by extracting relevant information from uploaded policies and certifications, significantly reducing assessment timelines from weeks to minutes. The platform further enhances supplier oversight through real-time analytics, guided intelligence, and embedded workflow automation, enabling enterprises to improve compliance management and strengthen supply chain resilience.

In April 2026, Protecht Group Holdings Pty Ltd., an Australia-based software and advisory company, acquired VISO TRUST for an undisclosed amount. Through this acquisition, Protecht aims to strengthen its AI-driven third-party risk management capabilities, accelerate global market expansion, and enhance automation and continuous monitoring across enterprise vendor risk ecosystems. VISO TRUST is a US-based company that provides artificial intelligence-powered supplier risk management capabilities through its AI-driven third-party risk management (TPRM) platform.

Major companies operating in the artificial intelligence-powered supplier risk management market are Oracle Corporation; SAP SE; Moody’s Corporation; Dun And Bradstreet Holdings Inc.; GEP Worldwide LLC; Coupa Software Inc.; EcoVadis SAS; JAGGAER LLC; Sphera Solutions Inc.; Exiger LLC; Ivalua Inc.; Achilles Information Limited; APEX Analytix LLC; Resilinc Corporation; Inspectorio Inc.; Interos Inc.; Aravo Solutions Inc.; Everstream Analytics GmbH; Prewave GmbH; Craft Technologies Inc.

North America was the largest region in the artificial intelligence-powered supplier risk management market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence-powered supplier risk management 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-powered supplier risk management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence-powered supplier risk management market includes revenues earned by entities by providing services such as supplier risk assessment services, real-time risk monitoring services, automated due diligence services, predictive analytics, and risk scoring services. 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.

The artificial intelligence-powered supplier risk management market research report is one of a series of new reports that provides artificial intelligence-powered supplier risk management market statistics, including artificial intelligence-powered supplier risk management industry global market size, regional shares, competitors with a artificial intelligence-powered supplier risk management market share, detailed artificial intelligence-powered supplier risk management market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence-powered supplier risk management industry. This artificial intelligence-powered supplier risk management market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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