Predictive Artificial intelligence (AI) In Supply Chain Market Report 2026

Predictive Artificial intelligence (AI) In Supply Chain Market Overview

• Predictive Artificial intelligence (AI) In Supply Chain market size has reached to $2.4 billion in 2025 • Expected to grow to $5.21 billion in 2030 at a compound annual growth rate (CAGR) of 16.8% • Growth Driver: Growing E-commerce Logistics Operations Fueling The Growth Of The Market Due To Increasing Demand For Real-time Visibility And Supply Chain Optimization Solutions • Market Trend: Technology Advancements In Generative Artificial Intelligence Improve Predictive Decision-Making Across Supply Chain Networks • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Predictive Artificial intelligence (AI) In Supply Chain Market?

Predictive artificial intelligence (AI) in supply chain refers to the application of artificial intelligence, machine learning, and data analytics to forecast future supply chain activities and disruptions using historical and real-time data. It helps businesses predict customer demand, inventory needs, supplier performance, delivery delays, and operational risks more accurately. The main components of predictive artificial intelligence (AI) in supply chain include software and services. Software refers to AI-driven platforms that analyze historical and real-time supply chain data to improve forecasting, decision-making, and operational efficiency. These solutions are deployed through on premise, cloud based, and hybrid models and are designed for enterprise sizes including large enterprises and small and medium enterprises. They find application in demand forecasting, inventory management, procurement and sourcing, risk management, and others, serving end use industries including retail, automotive, manufacturing, food and beverages, healthcare, and others.

What Is The Predictive Artificial intelligence (AI) In Supply Chain Market Growth Forecast?

The predictive artificial intelligence (AI) in supply chain market size is expected to see rapid growth in the next few years. It will grow to $5.21 billion in 2030 at a compound annual growth rate (CAGR) of 16.8%. The growth in the forecast period can be attributed to AI and machine learning adoption in supply chain planning, expansion of real-time data integration across logistics networks, growth of cloud-based supply chain platforms, increasing volatility in global trade and disruptions, rising demand for end-to-end supply chain visibility. Major trends in the forecast period include increasing adoption of AI-powered supply chain control towers, rising use of predictive analytics for inventory and warehouse optimization, expansion of digital twin models for supply chain simulation, growing integration of predictive risk management in procurement strategies, deployment of intelligent logistics optimization systems for cost reduction.

Global Predictive Artificial intelligence (AI) In Supply Chain Market Segmentation

1) By Component: Software; Services 2) By Deployment Mode: On Premise; Cloud Based; Hybrid 3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises 4) By Application: Demand Forecasting; Inventory Management; Procurement And Sourcing; Risk Management; Other Applications 5) By End Use Industry: Retail; Automotive; Manufacturing; Food And Beverages; Healthcare; Other End Use Industries Subsegments: 1) By Software: Inventory Optimization Software; Supply Chain Planning Software; Transportation Management Software; Warehouse Management Software; Predictive Maintenance Software; Logistics Analytics Platforms; Real Time Visibility And Tracking Software 2) By Services: Consulting Services; System Integration Services; Artificial Intelligence Model Development Services; Training And Support Services; Maintenance And Upgrade Services; Data Analytics And Visualization Services; Supply Chain Optimization Services

What Is The Driver Of The Predictive Artificial intelligence (AI) In Supply Chain Market?

The growing e-commerce logistics operations are expected to propel the growth of the predictive artificial intelligence (AI) in supply chain market going forward. E-commerce logistics operations refer to the transportation, warehousing, inventory management, order fulfillment, and delivery activities that support online retail and digital commerce transactions. The growth in e-commerce logistics operations is increasing due to rising consumer preference for online shopping and faster delivery services across domestic and international markets. Predictive artificial intelligence (AI) in supply chain supports growing e-commerce logistics operations by improving demand forecasting, optimizing inventory allocation, reducing transportation inefficiencies, and enhancing real-time supply chain visibility across fulfillment networks. For instance, in February 2026, according to the Census Bureau, a US-based government agency, U.S. retail e-commerce sales reached $326.7 billion in the first quarter of 2026, reflecting a 2.7% increase (±0.5%) compared to the fourth quarter of 2025. Therefore, the growing e-commerce logistics operations are driving the growth of the predictive artificial intelligence (AI) in supply chain industry.

Key Players In The Global Predictive Artificial intelligence (AI) In Supply Chain Market

Major companies operating in the predictive artificial intelligence (AI) in supply chain market are Amazon.com Inc.; Microsoft Corporation; Siemens AG; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Oracle Corporation; Honeywell International Inc.; NVIDIA Corporation; SAP SE; Google LLC; Zebra Technologies Corporation; Manhattan Associates Inc.; E2open Parent Holdings Inc.; o9 Solutions Inc.; Kinaxis Inc.; RELEX Solutions; The Descartes Systems Group Inc.; C3.ai Inc.; LatentView Analytics Limited; ToolsGroup; StockIQ Technologies Inc.

Global Predictive Artificial intelligence (AI) In Supply Chain Market Trends and Insights

Major companies operating in the predictive artificial intelligence (AI) in supply chain market are focusing on developing advanced solutions, such as generative supply chain orchestration platforms, to improve forecasting accuracy, automate operational planning, and strengthen supply chain resilience. Generative supply chain orchestration platforms refer to artificial intelligence systems that use large language models, predictive analytics, and real-time operational data to generate optimized recommendations for inventory planning, transportation management, supplier coordination, and logistics execution. For instance, in October 2024, DHL Supply Chain, a Germany-based logistics company, implemented a suite of generative artificial intelligence applications to enhance data management, customer support, and proposal accuracy across its supply chain operations. The technology includes advanced data cleansing capabilities for logistics planning, automated analysis of customer request-for-quotation documents, and artificial intelligence-driven proposal generation tools that improve operational efficiency and accelerate customer response times. Additionally, the implementation enabled DHL Supply Chain to streamline internal decision-making processes by reducing manual effort in document interpretation and logistics data validation. The generative AI tools also supported faster and more accurate customer engagement by improving quotation turnaround times and enhancing the consistency of supply chain planning proposals.

What Are Latest Mergers And Acquisitions In The Predictive Artificial intelligence (AI) In Supply Chain Market?

In February 2023, WiseTech Global Limited, an Australia-based provider of cloud-based logistics execution and supply chain software solutions, acquired Blume Global for $414 million. Through this acquisition, WiseTech Global aimed to strengthen its AI-enabled logistics visibility, predictive tracking, and supply chain execution capabilities while expanding its presence in global transportation and warehouse management markets. Blume Global is a US-based provider of AI-powered supply chain visibility, logistics orchestration, and transportation management solutions.

Regional Outlook

North America was the largest region in the predictive artificial intelligence (AI) in supply chain market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Predictive Artificial intelligence (AI) In Supply Chain Market?

The predictive artificial intelligence (AI) in supply chain market includes revenues earned by entities by providing services such as supplier performance analytics, warehouse automation support, real-time shipment tracking, procurement analytics, and production planning optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Predictive Artificial intelligence (AI) In Supply Chain Market Report 2026?

The predictive artificial intelligence (ai) in supply chain market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the predictive artificial intelligence (ai) in supply chain industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.