AI in Supply Chain Market Size & Share Forecast Report 2030

The AI in supply chain market is projected to reach USD 50.41 billion by 2032 from USD 13.93 billion in 2025, at a CAGR of 20.1%. The market is experiencing strong growth driven by increasing supply chain complexity, rising demand volatility, and the need for real-time decision-making. Enterprises are adopting AI-powered software and cloud-based platforms to improve demand forecasting, inventory optimization, logistics efficiency, and risk management. Growing digital transformation initiatives and the focus on supply chain resilience further accelerate market expansion.

KEY TAKEAWAYS

• North America is estimated to dominate the AI in supply chain market with a 36.7% share in 2025.
• By offering, the software segment held the largest share in the AI in supply chain market in 2024.
• Cloud deployment is projected to grow at a high CAGR of 21.8% in the AI in supply chain market from 2025 to 2032.
• By organization size, the small & medium organizations segment is estimated to grow at a high CAGR during the forecast period.
• By application, warehouse and transport management is set to grow at the highest CAGR of 22.9% during the forecast period.
• By end-use industry, the retail segment to dominate the AI in supply chain market in 2024.
• SAP SE, Oracle, Blue Yonder Group, Inc., and Manhattan Associates were identified as some of the star players in the AI in supply chain market, given their strong market share and product footprint.
• Altana, o9 Solutions, and Project44, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.

 

The AI in supply chain market is witnessing robust growth due to rising supply chain complexity, increasing demand volatility, and the growing need for predictive and data-driven decision-making. Organizations are increasingly adopting AI-powered software and cloud-based platforms to enhance demand planning, inventory management, logistics optimization, and risk mitigation. Additionally, expanding e-commerce activities, digital transformation initiatives, and the focus on building resilient and agile supply chains are further accelerating market growth.

The AI in supply chain market is undergoing significant disruption as enterprises move from rule-based planning and reactive operations toward intelligent, data-driven supply chain orchestration. Emerging trends such as predictive and prescriptive analytics, generative AI-enabled decision intelligence, autonomous planning systems, and real-time supply chain visibility are reshaping customer business models. Increased integration of AI with cloud platforms, IoT, and digital twins is enabling faster decision-making, improved resilience, and enhanced customer experience across retail, manufacturing, logistics, and distribution networks.

The AI in supply chain market ecosystem comprises hardware manufacturers, AI software and solution providers, system integrators, and distribution partners working together to enable end-to-end adoption. Hardware providers support high-performance data processing, while AI software vendors deliver advanced analytics, forecasting, and optimization capabilities. System integrators play a critical role in deployment, customization, and integration with existing enterprise systems. Distributors support market reach, scalability, and regional adoption, collectively strengthening the overall ecosystem and accelerating AI-driven supply chain transformation.

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Asia Pacific to be fastest-growing region in global AI in supply chain market during forecast period

Asia Pacific is estimated to grow at the highest CAGR due to rapid industrialization, expanding manufacturing bases, and strong adoption of digital supply chain technologies. Countries across the region are increasingly investing in AI to improve demand forecasting, production planning, and logistics efficiency. The growth of e-commerce, cross-border trade, and smart logistics infrastructure is further driving adoption. In addition, supportive government initiatives promoting AI, automation, and smart manufacturing are strengthening long-term market growth across the region.