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市场调查报告书
商品编码
1486916
供应链人工智慧市场规模、占有率、预测、趋势分析:依产品、依技术、依部署模式、依应用、依最终用途行业、依地区 - 到 2031 年的全球预测AI in Supply Chain Market Size, Share, Forecast, & Trends Analysis by Offering, Technology, Deployment Mode, Application, End-use Industry & Geography - Global Forecasts to 2031 |
供应链人工智慧市场预计到 2031 年将达到 585.5 亿美元,2024 年至 2031 年复合年增长率为 40.4%。这项市场成长的推动因素是供应链营运中越来越多地采用人工智慧,以及对提高供应链流程可见度和透明度的需求不断增长。然而,基于人工智慧的供应链解决方案的高昂采购和营运成本以及缺乏配套基础设施正在限制该市场的成长。
此外,对基于人工智慧的业务自动化解决方案的需求不断增长,预计将为该市场的参与者创造成长机会。然而,整合多个来源资料的效能问题以及对资料安全和隐私的担忧是影响市场成长的主要课题。此外,对基于云端的供应链解决方案的需求不断增长是供应链市场人工智慧的一个突出趋势。
(註:包含前5名公司的SWOT分析)
The research report titled 'Global AI in Supply Chain Market by Offering (Hardware, Software, Other), Technology (ML, NLP, RPA, Other), Deployment Mode, Application (Demand Forecasting, Other), End-use Industry (Manufacturing, Retail, F&B, Other) & Geography-Forecasts to 2031', provides in-depth analysis of AI in supply chain market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2031.
The AI in supply chain market is projected to reach $58.55 billion by 2031, at a CAGR of 40.4% from 2024 to 2031. The growth of this market is driven by the increasing incorporation of artificial intelligence in supply chain operations and the rising need for greater visibility & transparency in supply chain processes. However, the high procurement and operating costs of AI-based supply chain solutions and the lack of supporting infrastructure restrain the growth of this market.
Furthermore, the growing demand for AI-based business automation solutions is expected to generate growth opportunities for the players operating in this market. However, performance issues in integrating data from multiple sources and data security & privacy concerns are major challenges impacting market growth. Additionally, the rising demand for cloud-based supply chain solutions is a prominent trend in the AI in supply chain market.
Based on offering, the global AI in supply chain market is segmented into hardware, software, and services. In 2024, the hardware segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to advancements in data center capabilities, the growing need for storage hardware due to increasing storage requirements for AI applications, the crucial need for constant connectivity in the supply chain operations, and the emphasis on product development and enhancement by manufacturers. For instance, in January 2023, Intel Corporation launched its 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids), the Intel Xeon CPU Max Series (code-named Sapphire Rapids HBM), and the Intel Data Center GPU Max Series (code-named Ponte Vecchio). These new processors deliver significant improvements in data center performance, efficiency, security, and AI capabilities.
However, the software segment is expected to record the highest CAGR during the forecast period. The growth of this segment is driven by the rising focus on product development and the enhancement of supply chain software, and the benefits offered by supply chain software in facilitating supply chain visibility and centralized operations.
Based on technology, the global AI in supply chain market is segmented into machine learning, computer vision, natural language processing, context-aware computing, and robotic process automation. In 2024, the machine learning segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the advancements in data center capabilities, increasing deployment of machine learning solutions and its ability to perform tasks without relying on human input, and the rapid adoption of cloud-based technology across several industries. For instance, in June 2022, FedEx Corporation (U.S.) invested in FourKites, Inc. (U.S.), a supply chain visibility startup. This strategic collaboration allows FedEx to leverage its machine learning and AI capabilities with data from FedEx, enhancing its operational efficiency and visibility.
However, the robotic process automation segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the increased adoption of RPA across various industries and the rising demand for automating business processes to meet heightened customer expectations.
Based on deployment mode, the global AI in supply chain market is segmented into cloud-based deployments and on-premise deployments. In 2024, the cloud-based deployments segment is expected to account for the larger share of the global AI in supply chain market. The large market share of this segment is attributed to the increasing avenues for cloud-based deployments, the superior flexibility and affordability offered by cloud-based deployments, and the increasing adoption of cloud-based solutions by small & medium-sized enterprises.
Moreover, the cloud-based deployments segment is expected to record the highest CAGR during the forecast period. The rapid development of new security measures for cloud-based deployments is expected to drive this segment's growth in the coming years.
Based on application, the global AI in supply chain market is segmented into demand forecasting, supply chain planning, warehouse management, fleet management, risk management, inventory management, predictive maintenance, real-time supply chain visibility, and other applications. In 2024, the demand forecasting segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the rising initiatives to integrate AI capabilities in supply chain solutions, dynamic changes in customer behaviors and expectations, and the rising need to achieve accuracy and resilience in the supply chain. For instance, in March 2023, Zionex, Inc. (South Korea), a prominent provider of advanced supply chain and integrated business planning platforms, launched PlanNEL Beta. This AI-powered SaaS platform is designed for demand forecasting and inventory optimization.
However, the real-time supply chain visibility segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the rising integration of AI capabilities into supply chains to obtain real-time data on them.
Based on end-use industry, the global AI in supply chain market is segmented into manufacturing, food and beverage, healthcare & pharmaceuticals, automotive, retail, building & construction, medical devices & consumables, aerospace & defense, and other end-use industries. In 2024, the manufacturing segment is expected to account for the largest share of the global AI in supply chain market. The large market share of this segment is attributed to the increasing number of manufacturing companies, favorable initiatives to integrate artificial capabilities in the supply chain, and the increasing focus on achieving accuracy and resilience in the supply chain among manufacturers.
However, the retail segment is expected to record the highest CAGR during the forecast period. This segment's growth is driven by the rising integration of AI capabilities in the retail supply chain to forecast inventory and demand and retailers' growing focus on meeting consumer expectations.
Based on geography, the AI in supply chain market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, Asia-Pacific is expected to account for the largest share of the global AI in supply chain market. The large market share of this region is attributed to the rapid pace of digitalization and modernization across industries, the advent of Industry 4.0, and the growing adoption of advanced technologies across various businesses.
Moreover, the Asia-Pacific region is projected to record the highest CAGR during the forecast period. The growth of this market is driven by the proliferation of advanced supply chain solutions, the rising deployment of AI tools across the region, and efforts by major market players to implement AI technology across various sectors.
Some of the key players operating in the AI in supply chain market are IBM Corporation (U.S.), SAP SE (Germany), Microsoft Corporation (U.S.), Google LLC (U.S.), Amazon Web Services, Inc. (U.S.), Intel Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), C3.ai, Inc. (U.S.), Samsung SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), FedEx Corporation (U.S.), and Deutsche Post DHL Group (Germany).
AI in Supply Chain Market Assessment, by Offering
AI in Supply Chain Market Assessment, by Technology
AI in Supply Chain Market Assessment, by Deployment Mode
AI in Supply Chain Market Assessment, by Application
AI in Supply Chain Market Assessment, by End-Use Industry
AI in Supply Chain Market Assessment, by Geography
(Note: SWOT analysis of the top 5 companies will be provided.)
Figure 31 IBM Corporation: Financial Overview (2023)
Figure 32 SWOT Analysis: IBM Corporation
Figure 33 SAP SE: Financial Overview (2023)
Figure 34 SWOT Analysis: SAP SE
Figure 35 Microsoft Corporation: Financial Overview (2022)
Figure 36 SWOT Analysis: Microsoft Corporation
Figure 37 Alphabet, Inc.: Financial Overview (2023)
Figure 38 SWOT Analysis: Google LLC
Figure 39 Amazon.com, Inc.: Financial Overview (2023)
Figure 40 SWOT Analysis: Amazon Web Services, Inc.
Figure 41 NVIDIA Corporation: Financial Overview (2023)
Figure 42 Oracle Corporation: Financial Overview (2022)
Figure 43 C3.ai, Inc.: Financial Overview (2022)
Figure 44 Intel Corporation: Financial Overview (2023)
Figure 45 Samsung SDS CO., Ltd.: Financial Overview (2023)
Figure 46 Micron Technology, Inc.: Financial Overview (2023)
Figure 47 Advanced Micro Devices, Inc.: Financial Overview (2023)
Figure 48 FedEx Corporation: Financial Overview (2022)
Figure 49 Deutsche Post DHL Group: Financial Overview (2023)