Artificial Intelligence in Manufacturing and Supply Chain Market Global Report 2026

The artificial intelligence in manufacturing and supply chain market size has grown exponentially in recent years. It will grow from $8.22 billion in 2025 to $10.5 billion in 2026 at a compound annual growth rate (CAGR) of 27.8%. The growth in the historic period can be attributed to rise of lean manufacturing, globalization of supply chains, enterprise resource planning adoption, barcode and rfid based tracking systems, expansion of just in time manufacturing.

The artificial intelligence in manufacturing and supply chain market size is expected to see exponential growth in the next few years. It will grow to $27.67 billion in 2030 at a compound annual growth rate (CAGR) of 27.4%. The growth in the forecast period can be attributed to autonomous factory scaling, real time predictive supply chain orchestration, ai driven hyper personalization demand, nearshoring and reshoring acceleration, carbon neutral manufacturing pressure. Major trends in the forecast period include predictive maintenance and equipment failure forecasting systems, AI driven demand forecasting and inventory optimization, intelligent warehouse automation and robotics orchestration, real time supply chain visibility and tracking platforms, autonomous production planning and scheduling optimization systems.

The increasing industrial automation is expected to propel the growth of the artificial intelligence in manufacturing and supply chain market going forward. Industrial automation refers to the use of control systems, robotics, and information technologies to operate industrial processes and machinery with minimal human intervention. The increasing adoption of industrial automation is driven by manufacturers' need to improve production efficiency and address labor shortages across critical sectors. Industrial automation supports artificial intelligence in manufacturing and supply chain by providing interconnected machines, real-time data streams, and automated control systems that enable AI algorithms to optimize production, improve demand forecasting, and enhance end-to-end operational efficiency. For instance, in September 2024, according to the World Robotics 2024 report released by the International Federation of Robotics, a Germany-based nonprofit organization, the global operational stock of industrial robots reached 4,281,585 units in factories worldwide, representing a 10% year-on-year increase, while annual installations exceeded 500,000 units for the third consecutive year, with Asia accounting for 70% of newly deployed robots in 2023, followed by Europe at 17% and the Americas at 10%. Therefore, the increasing industrial automation is driving the growth of the artificial intelligence in manufacturing and supply chain market.

Leading companies operating in the artificial intelligence in manufacturing and supply chain market are focusing on developing innovative solutions, such as AI-driven predictive analytics to improve efficiency, reduce costs, and enable real-time decision-making. AI-driven predictive analytics is the use of artificial intelligence and machine learning techniques to analyze historical and real-time data in order to forecast future outcomes, trends, or risks with higher accuracy. For example, in January 2026, Siemens AG, a Germany-based technology partner, partnered with Nvidia Corporation, a US-based technology company, and expanded their partnership to build an Industrial AI Operating System that applies AI across the full industrial value chain, from design and engineering through manufacturing, operations, and supply chains. This solution combines NVIDIA’s accelerated computing and AI models with Siemens’ industrial automation software and digital twin technologies to create highly realistic virtual factory environments, enabling manufacturers to simulate, test, and optimize production processes before physical deployment. It leverages generative AI and machine learning to improve predictive maintenance, reduce downtime, and enhance supply chain responsiveness by continuously analyzing operational data from connected industrial systems. The platform is designed to support autonomous decision-making across design, engineering, production, and logistics, thereby reducing inefficiencies and accelerating industrial innovation cycles.

In September 2023, Logility Inc., a US-based supply chain planning software company, acquired Garvis for an undisclosed amount. Through this acquisition, Logility aims to strengthen its artificial intelligence-driven supply chain planning capabilities by integrating generative artificial intelligence, machine learning, and AI-native demand forecasting into its digital supply chain platform to improve forecasting accuracy and operational decision-making. Garvis Analytics NV is a Belgium-based software-as-a-service company that specializes in providing artificial intelligence-enabled solutions focused on manufacturing and supply chain planning, particularly in demand and inventory planning.

Major companies operating in the artificial intelligence in manufacturing and supply chain market are Microsoft Corporation; Google LLC; NVIDIA Corporation; International Business Machines Corporation; Amazon Web Services (AWS) Inc.; Oracle Corporation; SAP SE; Siemens AG; Schneider Electric SE; Accenture PLC; Honeywell International Inc.; ABB Ltd.; Palantir Technologies Inc.; Tata Consultancy Services (TCS); Dassault Systèmes SE; Capgemini SE; Cognizant Technology Solutions; Intel Corporation; Infosys Limited; Wipro Limited; Rockwell Automation Inc.; Aspen Technology Inc.; PTC Inc.; KUKA AG; C3.ai Inc.; Kinaxis Inc.; AVEVA Group plc; Daybreak AI Inc.

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

The artificial intelligence in manufacturing and supply chain market consists of revenues earned by entities by providing services such as demand forecasting, supply chain optimization, intelligent procurement, predictive maintenance, and real-time supply chain visibility. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in manufacturing and supply chain market also includes sales of AI-powered industrial robots, smart sensors, machine vision systems, and predictive maintenance systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

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

This product will be delivered within 1-3 business days.