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Artificial Intelligence-Powered Supplier Risk Management Market Size, Value And Growth Trends Through 2030
The artificial intelligence-powered supplier risk management market has observed substantial growth in its size over recent years. It is anticipated to expand from $3.94 billion in 2025 to $4.82 billion in 2026, achieving a compound annual growth rate (CAGR) of 22.2%. The expansion seen in previous periods can be connected to the globalization of supply chains, the proliferation of outsourcing and offshoring strategies, supply chain disruptions brought on by COVID-19, increasing consolidation among suppliers, and more stringent procurement compliance regulations.
The artificial intelligence-powered supplier risk management market is projected to experience substantial growth over the coming years. This market is anticipated to reach a size of $10.58 billion by 2030, showing a robust compound annual growth rate (CAGR) of 21.7%. Factors contributing to this expansion during the forecast period include the nearshoring and regionalization of supply chains, an increase in trade restrictions and tariff volatility, enhanced supplier diversification and resilience planning, the spread of trade finance and risk insurance solutions, and the growing occurrence of global supply shocks and disruptions. Key trends expected in the same period involve assessing supplier financial health and credit risk, mapping multi-tier supplier dependencies, monitoring geopolitical disruptions and sanctions risk, detecting procurement fraud and contract anomalies, and analyzing commodity price volatility alongside procurement cost risk.
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Artificial Intelligence-Powered Supplier Risk Management Market Expansion Supported By Key Demand Factors
Increased cybersecurity risks stemming from third-party vendor networks are projected to fuel the expansion of the artificial intelligence-powered supplier risk management market. These threats encompass potential cyberattacks and vulnerabilities originating from or exploiting external entities like suppliers, service providers, contractors, or business partners linked to an organization’s systems, data, or digital assets. The escalation of these threats is attributed to growing digital interconnectedness, which broadens potential access points and heightens organizational exposure to risks from susceptible suppliers, partners, and external service providers. Artificial intelligence-powered supplier risk management assists in mitigating these cybersecurity threats by continuously observing vendor actions, identifying real-time vulnerabilities, and facilitating proactive risk identification and response throughout the supply chain. For example, in November 2025, Recorded Future Inc., a US-based cybersecurity company, reported an escalation in third-party risk, noting that 30% of data breaches in 2024 were connected to third-party vendors, which is double the rate from the prior year. Consequently, the increasing cybersecurity threats originating from third-party vendor networks are propelling the expansion of the artificial intelligence-powered supplier risk management market.
Artificial Intelligence-Powered Supplier Risk Management Market Segment Analysis And Revenue Opportunities
The artificial intelligence-powered supplier risk management market covered in this report is segmented –
1) By Component: Software; Services
2) By Deployment Mode: Cloud; On Premises
3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises
4) By Application: Financial Risk Assessment; Compliance Management; Supplier Performance Evaluation; Cybersecurity Risk; Operational Risk; Other Applications
5) By End User: Manufacturing; Retail; Healthcare; Banking Financial Services And Insurance; Information Technology And Telecom; Energy And Utilities; Other End Users
Subsegments:
1) By Software: Supplier Risk Assessment Software; Predictive Risk Analytics Software; Compliance Monitoring Software; Supply Chain Visibility Software; Third Party Risk Management Software
2) By Services: Consulting Services; Implementation Services; Integration Services; Managed Services; Support And Maintenance Services
Intelligent Risk Monitoring Solutions Strengthen Supplier Oversight
Major 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 instance, 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.
Artificial Intelligence-Powered Supplier Risk Management Market Leading Players Shaping Industry Direction
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.
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Artificial Intelligence-Powered Supplier Risk Management Market Regional Analysis: Which Region Leads By Revenue?
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.
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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.