AI In Supply Chain Market

The AI in supply chain is projected to be worth USD 13.93 billion in 2025 and is expected to reach USD 50.41 billion by 2032, growing at a CAGR of 20.2% from 2025 to 2032. The market growth is characterized by organizations wanting more visibility, flexibility, and strength across complex global networks. More companies are using predictive analytics, demand forecasting, and smart automation to improve inventory management and operational efficiency. Growth is also fueled by cloud deployment, real-time data integration, and the need to reduce disruptions and costs and improve decision-making in logistics, procurement, and manufacturing.

p align="justify">Key companies in the AI supply chain market include SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), and Manhattan Associates (US). These companies aim to improve supply chain visibility, agility, and resilience using AI technologies like machine learning, predictive analytics, demand sensing, and intelligent automation. Leading players are investing significantly in cloud-based platforms, data integration, and scalable AI models to manage complex global supply networks. Their strategies include ongoing product innovation, partnerships with other companies, and integration with ERP and enterprise data platforms. These efforts are strengthening their market positions and expanding their global reach.

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In October 2025, SAP SE introduced SAP Supply Chain Orchestration, an AI-driven solution designed to enhance end-to-end visibility, resilience, and responsiveness across global supply chains. Built on SAP Business Technology Platform (SAP BTP) and integrated with SAP Business Network and SAP Business Data Cloud, the platform delivers multi-tier insights that detect early risks, contextualize disruptions, and trigger intelligent mitigation actions across planning, procurement, logistics, and manufacturing.

In September 2025, Blue Yonder partnered with Viva Energy Group to implement AI-powered category management and demand planning solutions. The collaboration enhances space planning, forecasting accuracy, and assortment optimization across 1,000+ convenience stores, enabling better inventory alignment with local preferences and improving the in-store customer experience.

SAP SE

SAP SE is a leading provider of AI-powered supply chain solutions. It uses its integrated ERP system to offer complete visibility, planning, and execution abilities. In the AI supply chain market, SAP includes machine learning, predictive analytics, and automation in products like SAP Integrated Business Planning (IBP), SAP S/4HANA, and SAP Digital Supply Chain. These platforms enable demand sensing, inventory optimization, predictive maintenance, and smart logistics orchestration by using real-time enterprise and external data. SAP’s strength is in its ability to combine data from procurement, manufacturing, warehousing, and distribution. This allows for AI-driven decision-making at a large scale. The company’s cloud-first strategy, along with industry-specific supply chain templates and generative AI tools, makes SAP a valuable partner for large companies looking for strong, flexible, and data-driven supply chains.

Oracle

Oracle plays a key role in the AI supply chain market with its Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) suite. This suite combines AI, machine learning, and analytics to improve planning and execution. Oracle’s AI features assist with demand forecasting, supply planning, inventory management, predictive maintenance, and smart order fulfillment. This helps companies react more quickly to market changes. Built on Oracle Cloud Infrastructure, the company’s supply chain solutions focus on scalability, real-time insights, and smooth data flow across finance, operations, and logistics. Oracle sets itself apart with embedded AI models, autonomous workflows, and strong integration with enterprise data systems. Its commitment to cloud-native deployment, regular updates, and AI-driven automation makes Oracle a crucial partner for companies modernizing global supply chains and boosting operational efficiency.

Market Ranking

The AI supply chain market is competitive, with key players like SAP SE, Oracle, Blue Yonder Group, Inc., Kinaxis Inc., and Manhattan Associates. These companies hold a large share of global enterprise adoption. Their strong AI capabilities enhance planning, execution, and optimization workflows. They maintain their market positions through ongoing innovation in machine learning, predictive analytics, demand sensing, and real-time decision intelligence, which address rising supply chain complexity and volatility. SAP and Oracle lead with their fully integrated supply chain platforms that connect closely with ERP and enterprise data systems. Blue Yonder stands out with its AI-driven, demand-oriented planning and autonomous supply chain solutions, especially in retail and manufacturing. Kinaxis has a solid presence in concurrent planning and scenario-based decision-making for large, complex global networks. Manhattan Associates emphasizes AI-driven warehouse, transportation, and order management, boosting its role in execution-focused applications. Together, these companies are shaping the market by advancing cloud-based systems, scalable AI models, and strong supply chain intelligence, while also facing more competition from specialized and emerging AI in supply chain vendors.

Related Reports:

AI in Supply Chain Market by Offering (Software, Services), Deployment (Cloud, On-premises, Hybrid), Application (Demand Planning & Forecasting, Warehouse & Transportation Management, Supply Chain Risk Management) - Global Forecast to 2032

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