Top 50 Companies in AI in Supply Chain Market: Expert View By Spherical Insights
RELEASE DATE: Aug 2025 Author: Spherical InsightsRequest Free Sample Speak to Analyst
Description
According to a research report published by Spherical Insights & Consulting, The Global AI in Supply Chain Market Size is projected to Grow from USD 6.5 Billion in 2024 to USD 238.5 Billion by 2035, at a CAGR of 38.75% during the forecast period 2025–2035. The increasing usage of AI-powered robotics in warehouse automation is expected to lower labor costs and improve operational efficiency.
Introduction
AI provides tools for work automation, massive data analysis, and actionable insight generation that boost productivity and transparency. The need for streamlined and effective supply chains has increased due to the growth of e-commerce. Because customers need prompt and dependable delivery, AI-powered solutions for demand forecasting, inventory control, and logistics optimization are required. Furthermore, a number of factors can cause supply chains to be disrupted. AI analyzes real-time data and makes proactive recommendations to help organizations foresee and lessen these interruptions. Innovations in technology also assist end-user businesses in expanding their markets. Strong analysis tools are required due to the growing amount of data collected in supply chains. AI is excellent at processing large amounts of data, drawing insightful conclusions, and turning those conclusions into workable plans. Additionally, real-time data gathering, processing, and analysis are made possible by the integration of AI with cloud computing platforms and Internet of Things (IoT) sensors. This gives AI the ability to make better decisions and increase supply chain agility.
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AI in Supply Chain Market Size & Statistics
- The Market Size for AI in Supply Chain was Estimated to be Worth USD 6.5 Billion in 2024.
- The Market Size is Going to Expand at a CAGR of 38.75% between 2025 and 2035.
- The Global AI in Supply Chain Market Size is Anticipated to Reach USD 238.5 Billion by 2035.
- North America is Expected to Generate the highest demand during the forecast period in the AI in supply chain market
- Asia Pacific is Expected to Grow the fastest during the forecast period in the AI in supply chain market.
Regional growth and demand
Asia Pacific is expected to grow the fastest during the forecast period in the AI in supply chain market.
This is due to the growing emphasis on digital transformation and industrial automation, which is increasing the demand for AI solutions. Supply chain operations must be optimized due to the increase in import-export activity. China, Japan, and India made significant investments in the manufacturing sector in an effort to increase production efficiency and reduce operating costs. The implementation of AI solutions in distribution and transportation networks is accelerated by the e-commerce industry's explosive growth and the growing demand for efficient delivery solutions. Government efforts to support cutting-edge technologies have led to a huge increase in the popularity of smart logistics. Furthermore, the region's supply chain AI market is expected to increase as a result of growing government measures to encourage the adoption of AI technology across all industries.
North America is expected to generate the highest demand during the forecast period in the AI in supply chain market.
The primary cause of this is the broad adoption of automation technology and AI-driven logistics solutions. Several of the top tech firms in the area are based there, which propels advancements in AI solutions. Strong retail networks and a reputable logistics industry further supported the local market. Because of its significant emphasis on increasing operational efficiency and better resource distribution, the region is an early adopter of AI technologies. AI adoption in demand forecasting and predictive analytics, together with warehouse automation, helped to boost supply chain resilience during continuous global disruptions. The use of artificial intelligence for supply chain optimization and inventory management has increased due to the sharp increase in e-commerce activity.
Top 10 trends in the AI in Supply Chain Market
- AI-powered demand forecasting and planning
- Real-time supply chain visibility and traceability
- Automation and robotics in warehouses and logistics
- Supplier relationship and sourcing optimization
- Risk management and predictive analytics
- Sustainability and green supply chain initiatives
- AI-driven transportation and route optimization
- Dynamic pricing and procurement automation
- Self-healing and autonomous supply chain networks
- Hyper-personalized customer and last-mile delivery
1. AI-powered demand forecasting and planning
Artificial intelligence now enables more accurate demand forecasting by analyzing historical sales, market trends, and real-time factors. Organizations can anticipate fluctuations and proactively adjust production and inventory, reducing stockouts and excess inventory. Companies leveraging AI for forecasting achieve significant improvements in efficiency and revenue growth.
2. Real-time supply chain visibility and traceability
AI-driven platforms, often powered by IoT devices and smart sensors, provide end-to-end visibility across global supply networks. This enhanced traceability allows for quick identification of bottlenecks, real-time tracking of goods, rapid response to disruptions, and ensures compliance with regulations—a key driver for agility and risk mitigation.
3. Automation and robotics in warehouses and logistics
Warehouse operations are being transformed by AI-powered robots and automated systems. Tasks such as picking, sorting, packing, and inventory management are streamlined, reducing human error and operational costs, while increasing speed and accuracy. This shift enables supply chains to scale rapidly and respond flexibly to changing demand.
4. Supplier relationship and sourcing optimization
AI analyzes vast datasets to optimize supplier selection, performance, and collaboration. Smart algorithms assess cost, quality, sustainability, and risk, allowing companies to diversify sourcing, avoid disruptions, and enhance resilience. AI-driven supplier management also fosters alignment with ESG (environmental, social, and governance) goals.
5. Risk management and predictive analytics
Advanced AI tools help organizations proactively identify and mitigate potential risks, from natural disasters to geopolitical events and supply shocks. Predictive models assess multiple risk factors to support contingency planning and ensure business continuity. This data-driven approach is critical for building more resilient, adaptive supply chains in a volatile world.
Empower your strategic planning:
Stay informed with the latest industry insights and market trends to identify new opportunities and drive growth in the AI in supply chain market. To explore more in-depth trends, insights, and forecasts, please refer to our detailed report.
Top 25 Companies Leading the AI in Supply Chain Market
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services (AWS)
- SAP SE
- Oracle Corporation
- Google Cloud
- JDA Software (now Blue Yonder)
- Honeywell
- Manhattan Associates
- Kinaxis
- Coupa Software
- Llamasoft (now part of Coupa)
- Celonis
- Infor
- Zebra Technologies
- Descartes Systems Group
- Blue Yonder
- Uptake Technologies
- Appian
- PTC
- Noodle.ai
- E2open
- Logility
- Elementum
- FourKites
1. IBM Corporation
Headquarters: Armonk, New York, USA
IBM is a pioneering force in the AI in Supply Chain market, leveraging its Watson platform to deliver predictive analytics, intelligent automation, and real-time supply chain visibility. Its AI-driven solutions streamline everything from demand forecasting and procurement to incident response, allowing enterprises to optimize costs, improve service levels, and minimize disruptions. By integrating IoT data, cloud technology, and advanced AI models, IBM enables global businesses to react swiftly to volatility and boost resiliency within their supply chain ecosystems. The company’s commitment to R&D keeps it at the forefront of innovation, empowering clients with tools for smarter, more transparent supply chains in a rapidly digitizing world.
2. Microsoft Corporation
Headquarters: Redmond, Washington, USA
Microsoft is a global leader in AI-powered supply chain management solutions, especially through its Azure cloud platform and Dynamics 365 suite. The company empowers organizations to harness AI for demand forecasting, intelligent logistics, and automated workflows. Microsoft’s integration of AI agents helps businesses achieve real-time visibility, optimize inventory, and improve supplier collaboration. Its advanced analytics and machine learning services are key for companies seeking scalable, secure, and integrated supply chain solutions. By fostering powerful partner ecosystems, Microsoft maintains a leading role in digital supply chain transformation globally.
3. Amazon Web Services (AWS)
Headquarters: Seattle, Washington, USA
Amazon Web Services provides a robust portfolio of AI and machine learning tools tailored for supply chain optimization. Its cloud-first approach enables predictive demand planning, intelligent inventory tracking, and logistics automation at scale. Companies use AWS AI to streamline warehouse operations, reduce delivery times, and increase fulfillment accuracy. AWS’s flexibility, global infrastructure, and constant innovation allow enterprises of all sizes to deploy, manage, and expand AI solutions, reinforcing its reputation as a cornerstone for digital transformation in supply chain management.
4. SAP SE
Headquarters: Walldorf, Germany
SAP SE’s AI-infused supply chain solutions are trusted by enterprises worldwide for their depth of functionality and integration. The company delivers predictive analytics, intelligent demand and supply planning, and adaptive logistics through its AI-powered SAP Integrated Business Planning (IBP) and Digital Supply Chain suite. SAP’s cloud-based tools empower businesses to automate complex processes, achieve real-time visibility, and ensure business continuity despite global disruptions. Its continuous R&D investment in AI keeps SAP at the forefront of digital transformation in supply chain operations.
5. Oracle Corporation
Headquarters: Austin, Texas, USA
Oracle offers a comprehensive suite of AI-enabled supply chain applications via its Oracle Fusion Cloud Supply Chain & Manufacturing platform. The company’s machine learning and analytics-driven tools automate forecasting, inventory management, and risk mitigation, while supporting integrated logistics and procurement operations. Oracle’s advanced solutions help organizations anticipate potential bottlenecks and address market shifts dynamically. With its global presence, security focus, and emphasis on innovation, Oracle remains a vital enabler for businesses pursuing agile, intelligent supply chain operations worldwide.
Are you ready to discover more about the AI in supply chain market?
The report provides an in-depth analysis of the leading companies operating in the global AI in supply chain market. It includes a comparative assessment based on their product portfolios, business overviews, geographical footprint, strategic initiatives, market segment share, and SWOT analysis. Each company is profiled using a standardized format that includes:
Company Profiles
- IBM Corporation
- Business Overview
- Company Snapshot
- Products Overview
- Company Market Share Analysis
- Company Coverage Portfolio
- Financial Analysis
- Recent Developments
- Merger and Acquisitions
- SWOT Analysis
- Microsoft Corporation
- Amazon Web Services (AWS)
- SAP SE
- Oracle Corporation
- Google Cloud
- JDA Software (now Blue Yonder)
- Honeywell
- Manhattan Associates
- Others.
Conclusion
The global AI in supply chain market is set for robust growth driven by the increasing need for flexible, scalable, and secure digital infrastructure. Key trends such as AI and machine learning integration, multi-cloud strategies, edge computing, and enhanced cloud security are reshaping how businesses operate and innovate. The rapid expansion in regions like the Asia Pacific and the sustained demand in North America highlight diverse market opportunities. Leading companies like Amazon Web Services, Microsoft Azure, and Google Cloud continue to drive technological advancements and adoption globally. Staying aligned with these evolving trends and leveraging strategic insights will be critical for organizations aiming to capitalize on the lucrative and fast-evolving AI in the supply chain landscape.
About the Spherical Insights & Consulting
Spherical Insights & Consulting is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.
Which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements.
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