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A recent report published by Infinium Global Research on artificial intelligence in supply chain market provides in-depth analysis of segments and sub-segments in the global as well as regional artificial intelligence in supply chain market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional artificial intelligence in supply chain market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global artificial intelligence in supply chain market.
The term "Artificial Intelligence in Supply Chain Market" refers to the segment of the business and technology industry that focuses on using Artificial Intelligence (AI) technologies to improve supply chain management and logistics. This market includes products, services, and solutions offered by tech companies to help organizations optimize their supply chain operations using AI. These solutions cover various aspects like demand forecasting, inventory management, route planning, warehouse automation, and real-time tracking. Machine learning (ML) algorithms play a vital role in AI supply chain solutions, aiding in predictive analytics, anomaly detection, and pattern recognition to enhance decision-making and efficiency. This market has seen rapid growth due to its potential for cost savings, efficiency improvements, and better decision-making across industries like manufacturing, retail, healthcare, and logistics.
The increasing adoption of big data is a major driver for AI in the supply chain market. Digital transformation has generated vast amounts of data in supply chains, and AI can leverage this data for better insights and recommendations. Moreover, the growing complexity of global supply chains fuels demand for AI. These supply chains involve multiple suppliers, complex logistics networks, and varying demand patterns, making AI's visibility and control capabilities highly valuable. Additionally, rising customer expectations for faster, more reliable deliveries and improved service are met with AI-driven logistics and supply chain solutions. These technologies optimize routes, reduce delivery times, and enhance order accuracy. However, the initial investment in hardware, software, training, and consulting services can be a significant barrier to the market. Despite that, the growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents significant opportunities for AI in the supply chain market.
North America is expected to hold the most significant market share in the upcoming forecast period. North America, led by the United States, is a dominant player in this market. It boasts a strong tech ecosystem, with leading technology companies, research institutions, and startups focused on AI for supply chain applications. Access to capital in the region supports innovation, and high demand from businesses across sectors like e-commerce, retail, manufacturing, and logistics drives the development and adoption of AI solutions. Meanwhile, the Asia-Pacific (APAC) region is emerging as the fastest-growing market for AI in the supply chain. APAC's economic growth, expanding trade, and increasing manufacturing activities are driving the adoption of AI to enhance operational efficiency and competitiveness.
| Report Coverage | Details |
|---|---|
| Market Size in 2022 | USD 2654.49 Million |
| Market Size by 2030 | USD 43326.92 Million |
| Growth Rate from 2023 to 2030 | CAGR of 36.52% |
| Largest Market | North America |
| No. of Pages | 300 |
| Market Drivers |
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| Market Segmentation | By Component, By Technology, By Application, and By Industry Vertical |
| Regional Scope | North America, Europe, Asia Pacific, and RoW |
The report on global artificial intelligence in supply chain market covers segments such as component, technology, application, and industry vertical. On the basis of component, the sub-markets include software, hardware, and services. On the basis of technology, the sub-markets include natural language processing, machine learning, computer vision, and context aware computing. On the basis of application, the sub-markets include risk management, freight brokerage, supply chain planning, warehouse management, fleet management, virtual assistant, and others. On the basis of industry vertical, the sub-markets include healthcare, retail, automotive, aerospace, manufacturing, food and beverages, consumer packaged goods, and others.
The report provides profiles of the companies in the market such as Xilinx (acquired by AMD), Logility, Inc., NVIDIA Corporation,, Micron Technology, Inc., Microsoft Corporation, Amazon Web Services, Inc., Intel Corporation, SAP SE, IBM Corporation, and Oracle Corporation.
The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the artificial intelligence in supply chain market. Moreover, the study highlights current market trends and provides forecasts from 2023-2030. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.
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