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市場調查報告書
商品編碼
1914614
自動化物料輸送(AMH)設備市場-全球產業規模、佔有率、趨勢、機會與預測:依產品、系統類型、功能、產業垂直領域、地區和競爭格局預測,2021-2031年Automated Material Handling, Equipment Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product, By System Type, By Function, By Industry, By Region & Competition, 2021-2031F |
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全球自動化物料輸送(AMH)設備市場預計將從 2025 年的 555.6 億美元成長到 2031 年的 990.2 億美元,複合年成長率為 10.11%。
這些整合系統控制製造和分銷過程中物料的管理、儲存和運輸,有效減少了人工干預。該市場的成長主要源於提高供應鏈韌性、緩解長期勞動力短缺以及在日益快節奏的工作環境中確保安全的需求。為了反映這一強勁的需求,德國機械設備製造業聯合會(VDMA)預測,到2024年,全球物流設備的出口額將成長1%,達到1,235億歐元。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 555.6億美元 |
| 市場規模:2031年 | 990.2億美元 |
| 複合年成長率:2026-2031年 | 10.11% |
| 成長最快的細分市場 | 車 |
| 最大的市場 | 亞太地區 |
然而,高昂的初始資本需求仍是限制市場整體成長的一大障礙。購買硬體、整合軟體以及維修設施所需的高昂成本,阻礙了中小企業採用這些技術。這些財務障礙迫使企業進行詳盡的投資報酬率 (ROI) 分析,從而延長了決策流程,並常常延遲自動化解決方案的採用,進而限制了市場的整體覆蓋範圍。
全球電子商務和全通路零售的快速擴張,對物流行業快速、精準的訂單履行提出了迫切需求。消費者對當日送達的期望日益提高,迫使配銷中心部署自動化系統,以有效管理大量商品和波動不定的小包裹數量。這種需求的激增正在加速自主移動機器人和自動化分類技術的應用,以提高吞吐量並取代人工揀選方式。因此,國際機器人聯合會(IFR)在2024年9月發布的報告顯示,2023年商用銷售將成長35%,達到約11.3萬台。
同時,不斷上漲的人事費用和持續的勞動力短缺正在推動企業向全面自動化轉型。由於難以招募和留住從事重複性、體力勞動強度大的倉庫工作的員工,企業不得不投資於能夠確保業務連續性並減少對人力依賴的設備。根據笛卡爾系統集團(Descartes Systems Group Inc.)2024年3月發布的報告,76%的供應鏈領導者面臨嚴重的勞動力短缺問題。為了應對這些挑戰並提高效率,羅克韋爾自動化(Rockwell Automation)2024年的一項調查發現,83%的受訪製造商計劃增加在智慧製造和自動化技術方面的支出。
全球自動化物料輸送(AMH)設備市場成長的主要障礙之一是高昂的初始資本支出。不僅需要大量前期投資來購買機械臂和自動導引運輸車(AGV)等設備,還需要進行軟體整合和基礎設施維修。對於中小企業而言,這些成本往往超出其可用資金,迫使它們推遲現代化改造計畫。這種財務壓力導致企業必須嚴格計算投資報酬率(ROI),延長決策週期,並減緩潛在的市場接受度。
這種對大規模資本計劃投資的猶豫不決體現在近期的產業績效數據。根據自動化促進協會 (A3) 的數據顯示,2024 年上半年北美機器人訂單較去年同期下降 7.9%,訂單金額較去年同期下降 6.8%。這一下滑凸顯了高利率和經濟不確定性對資本設備採購的負面影響,並有效地減緩了整個自動化物料輸送行業的成長動能。
人工智慧 (AI) 的整合正在改變全球自動化物料輸送(AMH) 設備市場,使系統從靜態程式指令轉向動態自主決策。與遵循固定路徑的傳統自動導引運輸車不同,人工智慧驅動的自主移動機器人利用機器學習分析即時數據,無需改變實體基礎設施即可在複雜環境中沿著最佳化路徑即時導航。這項技術還支援預測性維護,使系統能夠在部件故障導致停機之前預測其發生。羅克韋爾自動化公司 2025 年 6 月發布的一份報告也印證了這一趨勢,報告指出,95% 的製造商已經投資或計劃投資人工智慧和機器學習,以增強其營運的韌性。
同時,機器人即服務 (RaaS) 的興起正在使自動化普及化,它將財務結構從高額的資本支出轉變為可控的營運費用。這種訂閱模式使企業,尤其是中小企業,能夠部署複雜的機器人集群,而無需承擔高昂的前期擁有成本。透過將成本與實際使用量掛鉤並提供可擴展的選項,RaaS 降低了技術採用的財務風險,並加速了自動化工作流程的實施。這種轉變的影響是巨大的:根據國際機器人聯合會 (IFR) 於 2025 年 10 月發布的一份報告,2024 年透過 RaaS 模式部署的機器人數量增加了 42%。
The Global Automated Material Handling (AMH) Equipment Market is projected to expand from USD 55.56 Billion in 2025 to USD 99.02 Billion by 2031, registering a CAGR of 10.11%. These integrated systems manage the control, storage, and transport of materials within manufacturing and distribution sectors, effectively eliminating the need for direct human intervention. The market is fundamentally driven by the necessity to strengthen supply chain resilience, alleviate chronic labor shortages, and guarantee safety in fast-paced operational environments. Reflecting this robust demand, the VDMA Materials Handling and Intralogistics Association reported that global exports of intralogistics equipment rose by 1% to reach 123.5 billion euros in 2024.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 55.56 Billion |
| Market Size 2031 | USD 99.02 Billion |
| CAGR 2026-2031 | 10.11% |
| Fastest Growing Segment | Automotive |
| Largest Market | Asia Pacific |
However, high initial capital requirements remain a significant obstacle to broader market growth. The substantial costs involved in purchasing hardware, integrating software, and retrofitting facilities often deter Small and Medium Enterprises from adopting these technologies. These financial barriers compel organizations to conduct exhaustive return-on-investment analyses, which often prolongs the decision-making process and delays the implementation of automation solutions, thereby limiting the market's overall reach.
Market Driver
The rapid expansion of global e-commerce and omnichannel retail is generating a critical need for swift and accurate order fulfillment within the logistics industry. As consumer expectations for same-day delivery rise, distribution centers must deploy automated systems to effectively manage a vast array of stock-keeping units and fluctuating parcel volumes. This surge in demand accelerates the adoption of autonomous mobile robots and automated sortation technologies to increase throughput and replace manual picking methods. Consequently, the International Federation of Robotics reported in September 2024 that sales of professional service robots for transportation and logistics grew by 35% to nearly 113,000 units in 2023.
Simultaneously, rising labor costs and persistent workforce scarcity are driving the transition toward fully automated operations. Companies struggle to recruit and retain staff for repetitive, physically demanding warehouse tasks, prompting investment in equipment that ensures operational continuity and reduces reliance on human labor. A March 2024 report by The Descartes Systems Group Inc. revealed that 76% of supply chain leaders face notable workforce shortages. To address these challenges and improve efficiency, 83% of manufacturers surveyed by Rockwell Automation in 2024 indicated plans to increase spending on smart manufacturing and automation technologies.
Market Challenge
High initial capital expenditure constitutes a major barrier to the growth of the Global Automated Material Handling (AMH) Equipment Market. Implementing these systems involves significant upfront costs, not only for purchasing machinery like robotic arms and automated guided vehicles but also for software integration and infrastructure retrofitting. For Small and Medium Enterprises, these expenses often exceed available funds, forcing them to postpone modernization efforts. This financial pressure necessitates strict return-on-investment calculations, which extend decision-making timelines and stall potential market adoption.
The reluctance to commit to substantial capital projects is reflected in recent industry performance data. According to the Association for Advancing Automation (A3), North American robot orders fell by 7.9% in units and 6.8% in revenue during the first half of 2024 compared to the previous year. This decline highlights how high borrowing costs and economic uncertainty negatively impact capital equipment procurement, effectively slowing the overall growth trajectory of the automated material handling sector.
Market Trends
The integration of Artificial Intelligence (AI) is transforming the Global Automated Material Handling (AMH) Equipment Market by shifting systems from static, programmed instructions to dynamic, autonomous decision-making. Unlike traditional automated guided vehicles that follow fixed paths, AI-driven autonomous mobile robots use machine learning to analyze real-time data, optimizing routes instantly and navigating complex environments without physical infrastructure changes. This technology also supports predictive maintenance, allowing systems to foresee component failures before they cause downtime. Highlighting this trend, Rockwell Automation's June 2025 report notes that 95% of manufacturers have invested or plan to invest in AI and machine learning to enhance operational resilience.
In parallel, the rise of Robotics-as-a-Service (RaaS) is democratizing access to automation by converting financial structures from heavy capital expenditures to manageable operational expenses. This subscription-based model enables organizations, particularly Small and Medium Enterprises, to deploy advanced robotic fleets without the steep upfront costs typically associated with ownership. By aligning costs with actual usage and offering scalable options, RaaS reduces the financial risks of technology adoption and accelerates the implementation of automated workflows. The impact of this shift is significant, with the International Federation of Robotics reporting in October 2025 that robot deployments under RaaS models grew by 42% in 2024.
Report Scope
In this report, the Global Automated Material Handling (AMH) Equipment Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Automated Material Handling (AMH) Equipment Market.
Global Automated Material Handling (AMH) Equipment Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: