AI In Supply Chain Market
AI In Supply Chain Market Size, Share, Competitive Landscape and Trend Analysis Report by Components, Technology, Application and End-User Industry: Global Opportunity and Industry Forecast (2025-2030)
Report ID:
1037
Industry:
Electronics
Published on:
Sept 2025
AI in Supply Chain Market Overview
AI in Supply Chain Market had a value of USD 7.04 Billion in 2024 and expected it to hit USD 55.61 Billion by 2030, with a CAGR of 39.5 % during the forecast period. Artificial intelligence in the supply chain market refers to the use of advanced technologies such as automation, predictive analytics, and natural language processing to increase operational efficiency, accuracy, and decision-making across all supply chain activities. Instead of trusting historical data and manual processes, Intelligence Automation companies help make application more precisely, manage the inventory in real time, automate purchases and adapt quickly to disorders such as delays or market changes.
Companies who used AI experienced significant benefits in 2024, demand estimates were 50% more accurate, logistics costs were 15% lower, and inventory levels fell by 30% as a result of better planning. AI in Supply Chain Market also lowered manual labor by up to 40% and cut delivery times by 25%. Global investment in AI-powered supply chain solutions will estimate to reach $9 billion by 2025, with AI, analytics, and automation accounting for more than 60% of the digital transformation budget.
By 2025, artificial intelligence in supply chain industry will have changed supply chains, introducing new applications in logistics, inventory, and risk management. Walmart and Target utilize AI to enhance forecasts and avoid stockouts, while Amazon uses AI-powered robots and navigation systems to speed up deliveries. Artificial intelligence in supply chain market enhances last-mile efficiency, cold chain reliability, and supplier risk assessment. Emerging technologies, such digital twins, agentic AI, and autonomous shipping, help businesses adapt to change, save money, and become more sustainable. As investment grows, artificial intelligence (AI) emerges as an essential tool for developing smart, flexible, and future-ready supply chains.
This extensive analysis by Jadhavar Business Intelligence Pvt Ltd provides consumers with a complete and actionable picture of the Global AI in Supply Chain Market, including market size, share, trends, and growth estimates from 2024 to 2030. It provides a complete overview of important locations and countries by Components, Technology, Application and End-Use Industry. Clients receive comprehensive market dynamics, business tool analysis (PORTER and PESTLE), a technology roadmap, and regulatory updates. The study also includes country-specific projections, competitive benchmarking, Company profiles, and M&A activity, all of which aid in strategic planning, market entry analysis, and competitor positioning.
AI in Supply Chain Market Dynamic’s
In 2024, AI in supply chains Market was achieved by real-world outcomes, rather than simply anticipating benefits. Companies achieved nearly 80% end-to-end visibility, 30% fewer disruptions, and 45% fewer stock-outs, all while maintaining inventory accuracy above 98%. Warehouse robots accomplished up to 70% of picking activities, while cold chain operations improved prediction accuracy by 10% in Sweden and increased sales by 12% in the United States. AI in Supply Chain Market also reduced procurement cycles by 30%, sourcing costs by 20%, and provided high-accuracy forecasts, hence boosting AI in supply chain market efficiency, resilience, and cost effectiveness.
In 2024, AI in supply chain market faced obstacles that limited adoption despite the benefits. High implementation costs, particularly for advanced AI tools and automation infrastructure, have slowed adoption by small and medium-sized businesses. Many businesses struggled with poor data quality, fragmented systems, and a lack of standard data formats, which limited the utility of AI algorithms. A lack of educated staff in AI, data science, and supply chain analytics hindered implementation, while concerns about data privacy and cybersecurity made organizations apprehensive of large-scale deployments. On the other hand, traditional supply chain teams' sensitivity to change, along with the difficulty of integrating AI into existing legacy systems, usually resulted in deployment plans being delayed or reduced.
AI supply chain industry provided significant prospects and opportunity in 2024 for companies seeking smarter, more robust operations. The remarkable expansion of e-commerce, which now accounts for more than $6 trillion in global sales, has raised the demand for AI-powered inventory optimization, personalized logistics, and speedier last-mile delivery. Sustainability goals in AI in supply chain market have created opportunities for AI solutions to cut waste by up to 20% and warehouse energy use by nearly 15%. Companies want to reduce disruption risks by 25-30% as global trade and increasingly complex supply chains drive demand for predictive analytics. Dominating regions, particularly Asia-Pacific, with internet penetration rates more than 70%, offered untapped opportunities for AI integration.
AI in Supply Chain Market Segment Analysis
The AI in Supply Chain Market is segmented into Components, Technology, Application and End-User Industry.
By Technology
Based on Technology segment the AI in Supply Chain Market is segmented into Machine Learning, Computer Vision, Natural Language Processing (NLP) and Others. Machine Learning has the largest market share of any AI technology used in supply chains, accounted for 45% of the total technology segment. This dominance arises from its broad use in demand forecasting, inventory optimization, route planning, and predictive maintenance. Machine learning algorithms enable firms to analyse massive amounts of supply chain data and gain valuable insights, making it the most popular and profitable AI sub segment. Natural Language Processing (NLP) and Computer Vision, on the other hand, are rapidly emerging fields with a higher level of specialization or application.
By Application
Based on Application Segment, the AI in Supply Chain Market is segmented into Inventory Management, Demand Forecasting, Fleet Management, Supplier Management and Others. Within the application sector, Demand Forecasting appears the dominated sub segment, accounted for approximately 37% of total market share. Businesses across industries are focusing on AI-powered demand forecasting to improve accuracy, eliminate stockouts, manage inventory levels, and align production with real-time market demands. Demand forecasting has become a major issue in AI research due to increasing complexity in consumer behaviour, seasonal changes, and global sourcing. While other applications, such as inventory and transportation management, are growing, demand forecasting remains a top focus since it has a direct impact on cost savings and customer satisfaction.
AI in Supply Chain Market Region analysis
In 2024, Asia-Pacific dominated the AI in Supply Chain market, accounting for 36.9 % of global revenue shares. This supremacy was achieved by rapid industrial digitalization, early embrace of Industry 4.0 projects, and significant investment in AI-powered logistics, inventory optimization, and demand forecasting systems. Major economies such as China, Japan, and India played key roles driven by their strong manufacturing bases, expanding e-commerce enterprises, and government-backed smart infrastructure initiatives.North America followed closely behind, accounting for 34 % of the market, owing to improved technological infrastructure, large R&D spending, and early AI adoption by key logistics and industrial sectors.
Europe accounted for around 22%, owing to its strong automotive and industrial sectors. On the other hand, Middle East and Africa contributing for the remaining 6%, demonstrating sustained since its gradual acceptance. Asia-Pacific's larger market size, faster growth rate, and excellent integration of AI across multiple industries have cemented its place as the global leader in supply chain innovation in 2024.
AI in Supply Chain Market Competitive Analysis
In 2024, the AI in Supply Chain market was characterized by strong competition among multinational IT companies and specialist solution providers. IBM, Microsoft, SAP, Oracle, and Google leveraged their strong AI capabilities, reliable cloud platforms, and established enterprise customer bases to provide integrated solutions for predictive analytics, inventory optimization, and logistics management. NVIDIA made significant contributions by delivering the high-performance GPUs and AI computing platforms needed for real-time analysis of complex supply chain data. Blue Yonder, Kinaxis, o9 Solutions, and C3 AI specialized in end-to-end supply chain planning, control towers, and demand sensing, while Coupa Software, Anaplan, ClearMetal, and Llamasoft focused on AI-powered procurement, planning, and logistics visibility.
By 2024, Amazon Web Services (AWS) had established itself as the market leader in AI in Supply Chain Market. AWS's dominance originated from its global cloud architecture, vast partner ecosystem, and proven ability to incorporate AI into its extensive logistics and e-commerce networks. This not only ensured the scalability and durability of its AI-powered supply chain solutions but also provided a competitive advantage in supplying ready-to-deploy, cost-effective, and highly customized tools to global organization. AWS's use of AI, IoT, big data analytics, and machine learning enabled it to address a wide range of supply chain difficulties on a large scale, bolstering its market position.
AI in Supply Chain Market Key Players –
· Microsoft Corporation
· SAP SE
· Oracle Corporation
· Amazon Web Services Inc.
· NVIDIA Corporation
· Blue Yonder Group Inc.
· C3. AI inc.
· Kinaxis Inc.
· Coupa Software
· Anaplan Inc.
· ClearMetal
· Llamasoft
· o9 Solutions
Frequently Ask Questions –
1) Who are the major Key players of AI in Supply Chain Market?
Ans - The Major Key players of AI in Supply Chain Market are IBM Corporation, Microsoft Corporation, SAP SE, Oracle Corporation and Google LLC.
2) Which Region accounted highest share of the AI in Supply Chain Market in 2024?
Ans - Asia-Pacific region accounted highest share of the AI in supply Chain Market.
3) What was the market size of AI in Supply Chain Market in 2024?
Ans – In 2024, market size of the AI in Supply Chain Market is USD 7.04 Billion.
4) Which Segment is expected to lead the market during forecast period?
Ans – Technology Segment is the top segment hold the largest share in AI in Supply Chain Market.
5) What will be the market size of AI in Supply Chain Market in 2030?
Ans- The market size of AI in Supply Chain Market in 2030 will be USD 55.61 Billion.