市場調查報告書
商品編碼
1400692
全球供應鏈人工智慧市場評估:按組件、規模、解決方案類型、最終用戶、地區、機會、預測(2017-2031)Artificial Intelligence in Supply Chain Market Assessment, By Component, By Size, By Solution Type, By End-user, By Region, Opportunities and Forecast, 2017-2031F |
全球供應鏈人工智慧市場規模預計到2023年將達到50.5億美元,到2031年將達到310.8億美元,2024-2031年預測期間複合年增長率為25.5%。
在過去十年中,人工智慧和自動化日益滲透到供應鏈中,為組織提供了提高生產力、增強客戶體驗和降低成本的機會。人工智慧在供應鏈中的應用正在顯著成長。例如,南澳州 Mecalux 於 2023 年 9 月發布的最新數據顯示,90% 的高階主管打算每年在尖端技術上投資超過 100 萬美元,其中 58% 的人認為 AI 將成為最偉大的技術領域。變革和帶來可持續競爭力的潛力。隨著技術投資的增加,數位供應鏈正在成為全球趨勢。此外,86% 的參與者預測,到 2027 年,他們的供應網絡將實現 "自主、數位、互聯、敏捷和智慧" 。
物流自動化透過使用人工智慧技術來優化和簡化物流和供應鏈管理的許多領域,為供應鏈市場的人工智慧做出貢獻。需求預測、更好的路線和交付、更好的裝載程序、改進的庫存管理等等都可以透過人工智慧來完成。
例如,人工智慧可以幫助企業預測需求、確定送貨卡車的最佳路線以及更好地管理庫存水準。人工智慧與物流供應鏈管理的整合帶來了更高的效率、成本節約和更高的客戶滿意度,推動了人工智慧供應鏈市場的擴張。
透過利用人工智慧技術提高倉庫管理的生產力、效率和安全性,倉庫自動化在將人工智慧融入供應鏈產業方面處於領先地位。倉庫中正在利用協作機器人和其他人工智慧技術來自動執行繁瑣的任務、簡化工作流程並增強庫存管理。透過利用人工智慧,公司可以提高整體營運效率,加快訂單履行速度,並實現更高的庫存管理準確性。將人工智慧融入倉庫自動化將徹底改變供應鏈市場,從而降低成本、提高客戶滿意度以及更快、更靈活的供應鏈。
優化供應鏈運營,避免庫存過多和缺貨,並利用人工智慧技術預測未來需求。為了做出準確的需求預測,人工智慧系統會檢查大量數據,包括歷史趨勢、季節性和外部影響。這使得公司能夠更好地規劃行銷和生產活動、修改庫存水準並應對市場波動。人工智慧驅動的需求預測正在透過降低成本、提高客戶滿意度以及更動態和高效的供應網路來改變供應鏈管理。
由於該地區組織和政府活動的推動,人們對人工智慧在經濟中發展前景的理解和認識不斷增強,亞太地區在供應鏈人工智慧市場中佔據主導地位。該地區的市場是由供應鏈解決方案的不斷發展和對人工智慧應用的日益關注所推動的。快速擴張的經濟、精通技術的年輕人口以及對物聯網日益增長的接受度進一步推動了亞太地區供應鏈人工智慧市場的成長。
本報告研究和分析了全球供應鏈市場人工智慧,提供市場規模和預測、市場動態以及主要參與者的現狀和前景。
Global artificial intelligence in supply chain market size was valued at USD 5.05 billion in 2023, which is expected to reach USD 31.08 billion in 2031, with a CAGR of 25.5% for the forecast period between 2024 and 2031.
Artificial intelligence is revolutionizing the supply chain sector by enhancing operational effectiveness, cutting expenses, and raising customer satisfaction. Artificial intelligence in supply chains has the power to fundamentally change how goods are handled, distributed, and moved. In the coming years, supply chains will likely become more autonomous as AI-driven systems will handle a large portion of the procedures from delivery to procurement. Businesses that can invest in and set up their operations to make use of AI's potential in the supply chain can gain a clear competitive edge from the technology. Large volumes of supply chain data may be ingested by AI-enabled solutions, which can identify production issues, upstream or downstream shortages, certify supplies and components, and follow them across the whole supply chain.
Artificial intelligence and automation have been increasingly prevalent in supply chains over the last ten years, providing organizations with the chance to improve productivity, enhance customer experience, and eliminate expenses. The application of artificial intelligence in supply chains has grown significantly. For instance, according to the recent Mecalux, S.A. data published in September 2023, 90% of executives intend to invest more than USD 1 million a year in cutting-edge technologies, and 58% of them believe that AI has the most potential to revolutionize the sector and provide them a sustained competitive edge. Digital supply chains are becoming a global trend due to the increased investment in technology. Furthermore, 86% of the participants anticipate that supply networks will become "autonomous, digital, connected, agile, and intelligent" by 2027.
For instance, in November 2023, Amazon SageMaker presented five enhanced features, such as accelerated model training, reduced installation expenses, and a no-code feature in SageMaker Canvas. SageMaker facilitates ML innovation at scale by training industry-leading models like Jurassic-2, Stable Diffusion, IDEFICS, Falcon 40B and 180B, and StarCoder.
By enabling the application of AI technologies to optimize and simplify many areas of logistics and supply chain management, logistic automation contributes to artificial intelligence in the supply chain market. Demand forecasting, better routing and delivery, better loading procedures, and improved inventory management are being done with AI.
For instance, AI can assist companies in forecasting demand, figuring out the best routes for delivery trucks, and better control stock levels. The expansion of artificial intelligence in the supply chain market is being driven by greater efficiency, cost savings, and improved customer satisfaction that result from this integration of AI into logistics and supply chain management.
For example, in November 2023, with Oracle Fusion Cloud Inventory Management, Oracle unveiled more mobile features for managing medical inventory. The features are designed to decrease inventory errors, increase the effectiveness of restocking, and improve visibility for more accurate demand forecasting and stock availability.
By using AI technologies to improve productivity, efficiency, and safety in warehouse management, warehouse automation is leading the way in the supply chain industry's integration of artificial intelligence. Cobots and other AI-enabled technologies are being used in warehouses to automate tedious operations, streamline workflows, and enhance inventory management. Businesses can increase overall operational efficiency, expedite order fulfillment, and achieve higher inventory control accuracy by utilizing AI. The market for supply chains is being revolutionized by the incorporation of AI into warehouse automation, which results in lower costs, higher customer satisfaction, and a more responsive and flexible supply chain.
For instance, in October 2023, Oracle NetSuite enhanced NetSuite Analytics Warehouse with AI-powered capabilities, enhancing data management for healthcare companies and other sectors. The upgrades assist clients in developing analyses that boost productivity, cut expenses, and improve client comprehension, which can contribute to the utilization of data for innovation and expansion.
Supply chain operations can be optimized, thereby overstocking and stockouts can be prevented, and future demand can be predicted by using AI technologies, which are the driving force behind artificial intelligence in supply chain market. To produce precise demand estimates, artificial intelligence systems examine vast amount of data, including past trends, seasonality, and outside influences. This makes it possible for companies to better plan their marketing and production initiatives, modify inventory levels, and respond to market fluctuations. Demand forecasts using AI are transforming supply chain management through lower costs, better customer satisfaction, and more dynamic and efficient supply networks.
For instance, in April 2023, Coupa Software introduced new platform solutions to enhance business continuity and supply assurance, enabling organizations to make more informed spending decisions that promote efficiency, profitability, and purpose.
Asia-Pacific dominates the artificial intelligence in supply chain market owing to a higher level of understanding and awareness of the prospects for the development of AI in the economy, fueled by the efforts of organizations and governments in the region. The region's market is being driven by the expanding developments in supply chain solutions and the increasing focus on the implementation of artificial intelligence. Further driving growth in the Asia-Pacific artificial intelligence in supply chain market are the region's rapidly expanding economy, its youthful, tech-savvy population, and the growing acceptance of Internet of Things.
For instance, in November 2023, Amazon Web Services (AWS) revealed four features for AWS supply chain, which include supply planning, sustainability, visibility, and generative AI.
Artificial Intelligence in the supply chain market has undergone a major transformation as a result of recent government efforts. Governments globally have acted to encourage the use of AI after seeing how it can revolutionize supply chain operations. These programs include offering grants and funds to stimulate AI research and development, developing legal frameworks to guarantee the moral and responsible application of AI, and encouraging cooperation between the public and private sectors. Governments in the logistics and transportation sectors are fostering innovation, increasing productivity, and advocating sustainable practices by sponsoring the research and application of AI throughout the supply chain.
For instance, in October 2023, The Global AI Governance Initiative was established to encourage the ethical advancement and worldwide oversight of artificial intelligence. The initiative seeks the creation of transparent, equitable, and effective governance frameworks and highlights the necessity of equal rights and opportunities for all countries in the development and governance of AI.
The COVID-19 pandemic had a positive effect on artificial intelligence in the supply chain market. The use of artificial intelligence in supply chain operations was increasing gradually before the COVID-19 pandemic, with businesses using AI tools for logistics optimization, inventory control, and demand forecasting. On the other hand, the pandemic brought attention to the weaknesses in global supply systems, causing bottlenecks and obstructions. The application of AI to supply chain resilience and risk management has received more attention in the aftermath of the COVID-19 pandemic. Predictive analytics and machine learning are two examples of AI-powered technologies that are being used to improve supply chain operations' visibility, agility, and flexibility so that businesses can react to any disruptions with ease.
The Russia-Ukraine war has made a significant impact on the global supply chain, including artificial intelligence in the supply chain market. Unprecedented supply chain risks in 2022 brought about by the war have caused delays in transit, shortages of essential goods, and disruptions in several different businesses. Global leaders have adopted AI in supply chain management to lessen the effects of the war and enhance visibility, forecasting, and decision-making, but the crisis has spurred innovation. The war has brought attention to the necessity of robust and flexible supply chains, which is propelling the use of AI-powered tools to manage the changing environment and reduce interruptions.
The global artificial intelligence in the supply chain market is extremely competitive, with major companies having fierce competition for dominance. One significant player is Amazon.com, Inc., which uses AI to improve its delivery and logistics processes. AI-powered supply chain optimization and predictive analytics solutions are provided by Google, IBM Corporation, and Microsoft Corporation. Coupa Software Inc. offers spend management and procurement solutions powered by AI. The supply chain AI market is expected to grow and see increased industry adoption, according to optimistic projections. It is anticipated that the industry will continue to grow and innovate due to the integration of AI technologies including robotic process automation, machine learning, and natural language processing. These innovations will improve supply chain operations' sustainability, efficiency, and visibility.
In November 2023, SAP SE collaborated with Airbus to use SAP Integrated Business Planning for supply chain to transform industrial planning. Faster, more responsive production planning and increased manufacturing efficiency are possible through greater integration, collaboration, and transparency of cloud solution.
In October 2023, Infor Nexus and LSQ collaborated to extend supply chain finance initiatives and working capital, lowering obstacles for non-US suppliers, and granting early payments to international suppliers via an intuitive platform.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.