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Acrylic Brochure Box Outdoor Market Size Outlook: How Fast Will Revenue Grow Through 2030?
The supply chain visibility artificial intelligence market has experienced significant expansion over recent years. Projections indicate it will grow from $7.08 billion in 2025 to $8.36 billion in 2026, at a compound annual growth rate (CAGR) of 18.1%. This historical growth can be linked to the increased adoption of enterprise resource planning systems, the expanding globalization of supply chains, a greater requirement for inventory optimization, the growth of e-commerce logistics networks, and the ongoing challenge of achieving real-time visibility across supplier networks.
The supply chain visibility artificial intelligence market is projected to experience substantial expansion in the coming years. Its valuation is anticipated to reach $16.4 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 18.4%. This anticipated growth during the forecast period stems from several factors, including the escalating need for real-time, end-to-end supply chain transparency, the increasing embrace of AI-driven predictive analytics solutions, the expanding incorporation of IoT-enabled tracking mechanisms, the proliferation of cloud-based supply chain platforms, and a heightened emphasis on supply chain resilience and strategies for risk reduction. Key trends shaping this period involve the greater adoption of predictive disruption detection models for proactive risk mitigation within supply chains, the broadening utilization of real-time shipment tracking dashboards to ensure comprehensive logistics transparency, a surging demand for AI-powered demand sensing to enhance inventory precision, the expanding integration of digital twin technology for simulating and optimizing supply chains, and the increasing implementation of automated exception management systems to enable quicker responses to disruptions.
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Supply Chain Visibility Artificial Intelligence Market Growth Drivers: What Factors Are Accelerating Expansion?
The increasing integration of cloud-based supply chain platforms is projected to fuel the expansion of the supply chain visibility artificial intelligence market in the foreseeable future. These platforms are internet-enabled digital systems that empower businesses to manage and optimize various supply chain operations, including procurement, inventory management, logistics, and distribution, through real-time data access. The surge in adoption stems from a heightened demand for real-time insights, as companies require immediate access to inventory, logistics, and operational data to enhance their decision-making, boost efficiency, and rapidly address supply chain interruptions. This wider usage of cloud-based supply chain platforms is accelerating the development of supply chain visibility artificial intelligence by facilitating real-time data exchange, centralized oversight, and sophisticated AI analytics across intricate supply chain ecosystems. For example, data from September 2023 by the Global Healthcare Exchange LLC, a US-based healthcare SaaS company, indicates that approximately 70% of hospitals and health systems are anticipated to implement cloud-based supply chain management solutions by 2026. This adoption is expected to enable them to refine decision-making, boost operational efficiency and agility, reduce expenses, bolster data security and privacy, and streamline their overarching processes. Consequently, the expanding uptake of cloud-based supply chain platforms is a key factor propelling the expansion of the supply chain visibility artificial intelligence market.
Acrylic Brochure Box Outdoor Market Segmentation: How Is The Market Structured Across Key Categories?
The supply chain visibility artificial intelligence market covered in this report is segmented –
1) By Component: Software; Hardware; Services
2) By Deployment Mode: Cloud; On Premises
3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises
4) By Application: Inventory Management; Risk Management; Order Management; Logistics And Transportation Visibility; Supplier Management; Compliance And Reporting; Other Applications
5) By End User Industry: Retail And E-commerce; Manufacturing; Healthcare And Pharmaceuticals; Automotive; Food And Beverage; Logistics And Transportation; Consumer Goods; Other End User Industries
Subsegments:
1) By Software: Supply Chain Visibility Software; Predictive Analytics Software; Transportation Management Software; Warehouse Management Software; Route Optimization Software; Demand Forecasting Software
2) By Hardware: Radio Frequency Identification Devices; Global Positioning System Devices; Sensors And Internet Of Things Devices; Barcode Scanners; Telematics Devices; Industrial Computers; Communication Hardware
3) By Services: Implementation And Integration Services; Consulting Services; Support And Maintenance Services; Managed Services; Training And Education Services; Analytics And Optimization Services
Generative Artificial Intelligence Assistants Transform Real-Time Supply Chain Decision-Making And Autonomous Logistics Operations
Major companies operating in supply chain visibility artificial intelligence markets are focusing on developing innovative solutions, such as generative artificial intelligence-powered visibility assistants to enhance real-time decision-making, improve shipment tracking accuracy, and enable autonomous supply chain operations. Generative artificial intelligence-powered visibility assistants are AI systems that use generative models to interpret supply chain data and provide real-time, conversational insights and predictions about shipment status, risks, and performance. For instance, in April 2023, project44 Inc., a US-based supply chain technology company, launched Movement GPT, a generative AI assistant integrated into its Movement platform. The solution is built on a massive dataset covering billions of shipments globally and enables users to query supply chain data in natural language, generate predictive insights, and automate routine logistics analysis. It is designed to improve supply chain responsiveness, reduce manual data interpretation, and support the transition toward autonomous logistics ecosystems by combining visibility data with advanced generative AI capabilities.
Supply Chain Visibility Artificial Intelligence Market Key Companies And Competitive Benchmarking
Major companies operating in the supply chain visibility artificial intelligence market are International Business Machines Corporation; Microsoft; Oracle Corporation; SAP SE; C3.ai; Zebra Technologies Corporation; Infor Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; E2open Parent Holdings Inc.; Coupa Software Inc.; Descartes Systems Group Inc.; o9 Solutions Inc.; Kinaxis Inc.; Project44 Inc.; FourKites Inc.; Samsara Inc.; ParkourSC; WiseTech Global; Overhaul Group Inc.; Tive Inc.; Roambee Corporation; Shippeo SAS
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Supply Chain Visibility Artificial Intelligence Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the supply chain visibility artificial intelligence market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the supply chain visibility artificial intelligence 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.