PUBLISHER: The Business Research Company | PRODUCT CODE: 2112421
PUBLISHER: The Business Research Company | PRODUCT CODE: 2112421
Supply chain visibility artificial intelligence refers to the application of AI-driven technologies, including machine learning, predictive analytics, and real-time data analysis, to monitor and track the flow of goods, information, and resources throughout the supply chain. It allows organizations to achieve comprehensive end-to-end visibility, detect potential disruptions in advance, and enhance decision-making processes for more efficient and responsive supply chain management.
The primary components of supply chain visibility artificial intelligence consist of software, hardware, and services. Software encompasses AI-powered platforms designed to monitor, evaluate, and enhance supply chain activities in real time. These solutions are implemented through cloud-based and on-premises deployment models and are utilized by organizations of varying sizes, including large enterprises and small and medium-sized enterprises. The major applications include inventory management, risk management, order management, logistics and transportation visibility, supplier management, compliance and reporting, and others, while the end-user industries comprise retail and e-commerce, manufacturing, healthcare and pharmaceuticals, automotive, food and beverage, logistics and transportation, consumer goods, and others.
Tariffs are influencing the supply chain visibility artificial intelligence market by raising the cost of hardware components such as sensors, RFID devices, GPS modules, and IoT-enabled tracking systems used for real-time data capture. This is slowing deployment of advanced visibility platforms across logistics and manufacturing networks, especially in import-dependent regions such as Asia-Pacific and Latin America. Software and cloud-based analytics segments are also indirectly affected due to delayed hardware integration and higher infrastructure costs. However, tariffs are encouraging regional manufacturing of tracking devices, diversification of supplier ecosystems, and faster adoption of cloud-native AI solutions to reduce reliance on imported hardware and strengthen supply chain resilience.
The supply chain visibility artificial intelligence market size has grown rapidly in recent years. 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%. The growth in the historic period can be attributed to growing adoption of enterprise resource planning systems, increasing globalization of supply chains, rising need for inventory optimization, expansion of e commerce logistics networks, limited real time visibility across supplier networks.
The supply chain visibility artificial intelligence market size is expected to see rapid growth in the next few years. It will grow to $16.4 billion in 2030 at a compound annual growth rate (CAGR) of 18.4%. The growth in the forecast period can be attributed to increasing demand for real time end to end supply chain transparency, rising adoption of AI powered predictive analytics tools, growing integration of iot enabled tracking devices, expansion of cloud based supply chain platforms, increasing focus on supply chain resilience and risk mitigation strategies. Major trends in the forecast period include increasing adoption of predictive disruption detection models for proactive supply chain risk mitigation, growing use of real-time shipment tracking dashboards for end-to-end logistics transparency, rising demand for AI-driven demand sensing to improve inventory accuracy, expanding integration of digital twin technology for supply chain simulation and optimization, increasing deployment of automated exception management systems for faster disruption response.
The growing adoption of cloud-based supply chain platforms is expected to drive the growth of the supply chain visibility artificial intelligence market going forward. Cloud-based supply chain platforms are internet-based systems that enable businesses to manage and optimize supply chain activities such as procurement, storage, transportation, and distribution by accessing real-time data. The rising adoption of cloud-based supply chain platforms is driven by the increasing demand for real-time visibility, as businesses require immediate access to inventory, logistics, and operational data to improve decision-making, boost efficiency, and respond swiftly to supply chain disruptions. The increasing deployment of cloud-based supply chain platforms is enhancing the growth of supply chain visibility artificial intelligence by enabling real-time data exchange, centralized monitoring, and advanced AI-driven analytics across complex supply chain networks. For instance, in September 2023, according to the Global Healthcare Exchange LLC, a US-based healthcare SaaS company, nearly 70% of hospitals and health systems are expected to adopt cloud-based supply chain management solutions by 2026, enabling them to improve decision-making, enhance operational efficiency and agility, lower costs, strengthen data security and privacy, and streamline overall processes. Therefore, the growing adoption of cloud-based supply chain platforms is driving the growth of the supply chain visibility artificial intelligence market.
Leading 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 example, 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.
In April 2023, Trimble Inc., a US-based industrial technology and transportation software company, acquired Transporeon for an undisclosed amount. Through this acquisition, Trimble aims to enhance its global transportation management and supply chain visibility capabilities by integrating Transporeon's cloud-based freight network, real-time logistics execution, and visibility solutions into its transportation platform. Transporeon GmbH is a Germany-based company offering AI-powered supply chain visibility software.
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
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.
The countries covered in the supply chain visibility artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The supply chain visibility artificial intelligence market consists of revenues earned by entities by providing services such as real-time shipment tracking, predictive delay and demand analytics, system integration, and data orchestration. The market value includes the value of related goods sold by the service provider or included within the service offering. The supply chain visibility artificial intelligence market also includes sales of IoT sensors, temperature monitoring sensors, humidity sensors, shock and vibration sensors, telematics devices, and asset tracking tags. 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 supply chain visibility artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides supply chain visibility artificial intelligence market statistics, including supply chain visibility artificial intelligence industry global market size, regional shares, competitors with a supply chain visibility artificial intelligence market share, detailed supply chain visibility artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the supply chain visibility artificial intelligence industry. This supply chain visibility artificial intelligence 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.
Supply Chain Visibility Artificial Intelligence Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses supply chain visibility artificial intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for supply chain visibility artificial intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The supply chain visibility artificial intelligence market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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