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Generative Artificial Intelligence In Supply Chain Market Size, Value And Growth Trajectory Through 2030
The market size for generative artificial intelligence in supply chain has shown significant expansion in recent years. This market is projected to increase from $0.58 billion in 2025 to $0.84 billion in 2026, achieving a compound annual growth rate (CAGR) of 43.8%. The historical growth can be attributed to factors such as the growing complexity in global supply chains, the increasing demand for faster delivery, the early adoption of AI in logistics, rising investment in supply chain visibility tools, and the critical need for efficient inventory management.
The generative artificial intelligence in supply chain market is set to experience significant expansion over the next few years. It is projected to attain a value of $3.56 billion by 2030, growing at a compound annual growth rate (CAGR) of 43.5%. This projected increase is driven by developments in generative AI models, the wider adoption of cloud-based supply chain solutions, the integration of predictive analytics with robotic process automation, the rise of AI-driven supplier risk management, and the implementation of collaborative supply chain platforms. Key trends anticipated during this period include AI-powered demand forecasting, generative supply chain simulation, logistics route optimization using AI, automation of inventory management, and the prediction and mitigation of supplier risks.
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Generative Artificial Intelligence In Supply Chain Market Demand Drivers: What’s Powering Industry Growth?
The growth of the generative artificial intelligence in supply chain market is anticipated to be significantly propelled by the increasing prevalence of e-commerce. E-commerce involves the online buying and selling of goods and services, facilitating transactions and business activities through web platforms and mobile applications. The surge in e-commerce is driven by factors such as the greater adoption of online shopping, advancements in digital payment technologies, and expanded internet access. Within the e-commerce supply chain, generative artificial intelligence (AI) is utilized to optimize inventory management, enhance demand forecasting, streamline logistics, automate order processing, and personalize customer experiences. This is achieved by analyzing vast quantities of data to formulate efficient, data-driven supply chain strategies. For example, in November 2023, the International Trade Administration, a US-based Department of Commerce, projected consumer eCommerce to generate $285.60 billion in revenue by 2025, which accounted for 36.3% of the UK retail market as of January 2021. Additionally, eCommerce revenues in the UK are forecasted to grow at an average annual rate of 12.6% by 2025. Thus, the expansion of e-commerce is a primary catalyst for the development of generative artificial intelligence in the supply chain market.
Generative Artificial Intelligence In Supply Chain Market Segmentation And Category Overview
The generative artificial intelligence in supply chain market covered in this report is segmented –
1) By Component: Solutions, Software
2) By Deployment Mode: Cloud-Based, On-Premise
3) By End-User: Retail, Manufacturing, Healthcare, Other End-Users
Subsegments:
1) By Solutions: Supply Chain Optimization Solutions, Demand Forecasting Solutions, Inventory Management Solutions, Logistics And Transportation Solutions, Supplier Risk Management Solutions, End-to-End Visibility Solutions
2) By Software: Predictive Analytics Software, Machine Learning Platforms, Robotics Process Automation (RPA) Software, Artificial Intelligence For Supply Chain Management (AI-SCM), Collaboration And Communication Software, Data Analytics Tools
Generative Artificial Intelligence In Supply Chain Market Innovation Trends: What Developments Are Reshaping The Industry?
Companies operating in the generative artificial intelligence in supply chain market are primarily focused on developing innovative technologies, such as cognitive solutions, to improve predictive analytics and optimize supply chain operations. Cognitive solutions are advanced technologies that imitate human thought processes to analyze, interpret, and act on intricate data. These solutions utilize artificial intelligence (AI), machine learning, and natural language processing to allow systems to comprehend, reason, and learn from data, much like the human brain. As an illustration, in December 2023, Blue Yonder, a US-based supply chain management company, introduced Blue Yonder Orchestrator, a generative AI tool designed to help businesses make more informed decisions and accelerate supply chain orchestration. This new capability employs advanced AI algorithms to automate and streamline complex supply chain processes, thereby enhancing efficiency and accuracy. Its primary features include real-time data analysis, which permits dynamic inventory and logistics adjustments based on prevailing conditions and forecasts. The system seamlessly integrates with existing supply chain infrastructure, offering actionable insights and recommendations to boost overall operational performance.
Generative Artificial Intelligence In Supply Chain Market Competitive Analysis Of Leading Industry Participants
Major companies operating in the generative artificial intelligence in supply chain market are Amazon.com Inc., Microsoft Corporation, Deutsche Post AG, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, NVIDIA Corporation, Dematic Inc., PTC Inc., Teradata Corporation, Blue Yonder Inc.,Manhattan Associates Inc., Logility Inc., LLamasoft Inc., Covariant Inc., FourKites Inc., ClearMetal Inc., o9 Solutions, Anaplan Inc., E2open LLC, Infor Inc., Flexport Inc., Descartes Systems Group Inc., GEP Worldwide, Celonis
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Generative Artificial Intelligence In Supply Chain Market Largest Region: Which Geography Holds The Biggest Share?
North America was the largest region in the generative artificial intelligence in supply chain market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in supply chain 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.
