![]() |
市場調查報告書
商品編碼
1943531
AGV軟體市場-全球產業規模、佔有率、趨勢、機會及預測(依產品、最終用戶產業、地區及競爭格局分類,2021-2031年)AGV Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By End-Use Industry, By Region & Competition, 2021-2031F |
||||||
全球 AGV 軟體市場預計將以強勁的速度成長,從 2025 年的 35.9 億美元成長到 2031 年的 72.2 億美元,複合年成長率達 12.35%。
這類軟體涵蓋集中控制系統,用於管理工業環境中自動導引車 (AGV) 的導航、路徑規劃和任務調度。這些技術對現代物流至關重要,能夠協調倉庫和製造工廠內車隊的運行,防撞並確保高效的物料流動。市場的主要驅動力是營運效率的迫切需求以及緩解全球勞動力短缺的需要,這迫使各行業更加依賴軟體來協調日益複雜的內部物流網路。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 35.9億美元 |
| 市場規模:2031年 | 72.2億美元 |
| 複合年成長率:2026-2031年 | 12.35% |
| 成長最快的細分市場 | 車 |
| 最大的市場 | 北美洲 |
然而,市場在實現新型AGV軟體與現有傳統基礎設施之間的互通性方面面臨巨大挑戰,這往往導致高昂的實施成本。儘管存在這些技術障礙,移動機器人的應用仍在加速發展。根據國際機器人聯合會的數據,到2024年,運輸和物流行業的機器人銷售將達到102,900台,較去年同期成長14%,這主要得益於工業自動化需求的成長。這項統計數據表明,機器人車隊的規模正在擴大,這將需要更強大的管理軟體來確保高效運作。
人事費用上升和勞動力短缺是推動AGV軟體普及的關鍵因素。隨著工業領域面臨日益擴大的技能缺口和不斷上漲的工資,企業正轉向自動化解決方案以維持生產力,而不是依賴不穩定的人力勞動力。先進的軟體平台能夠幫助工廠最大限度地提高機器人車隊的營運效率,確保持續運作並減少對人工堆高機操作員的依賴。羅克韋爾自動化於2025年6月發布的第十份年度《智慧製造現況報告》的數據也印證了這項策略轉變。該報告顯示,41%的製造商正在利用人工智慧和自動化技術來彌合技能缺口並解決勞動力短缺問題,從而能夠以更少的人員管理大型、複雜的物料搬運作業。
此外,全球電子商務和全通路物流的快速發展正在加速先進導航和控制系統的應用。現代物流中心面臨巨大的壓力,需要以極高的速度和精度完成訂單,這就要求動態路徑規劃和即時任務分配,而這只有強大的軟體才能提供。這種需求在需要應對季節性高峰的面向消費者的行業中尤為突出。根據美國自動化促進協會 (AAA) 於 2025 年 2 月發布的題為「A3 報告:北美機器人市場在 2024 年依然強勁」的新聞稿,2024 年食品和消費品行業的機器人訂單成長了 65%。此外,根據國際機器人聯合會 (IFR) 發布的 2025 年報告,2024 年全球商用服務機器人的銷量將達到約 20 萬台,比上年成長 9%。這一成長印證了推動該行業發展的商業需求。
現代AGV軟體與現有傳統基礎設施之間互通性的技術挑戰是限制市場擴張的主要阻礙因素。許多工業設施依賴過時的業務線計畫(ERP)系統和倉庫管理工具,這些系統和工具與目前的機器人控制架構有固有的不相容性。彌合這項技術鴻溝通常需要部署昂貴的中間件和進行大規模的工程客製化,從而顯著增加總體擁有成本(TCO)。因此,這些高昂的實施成本常常迫使企業延後或縮減其自動化計劃,尤其是在資本預算投資報酬率(ROI)受到嚴格審查的時期。
這種財務上的猶豫不決導致自動化技術的應用明顯放緩。根據自動化促進協會 (AAA) 預測,北美企業在 2024 年上半年將訂購 15,705 台機器人,比去年同期下降約 8%。採購活動的下降凸顯了複雜整合帶來的財務負擔如何抑制了需求。如果將新軟體與現有系統同步的成本過高,將有效限制潛在市場,並減緩全球 AGV 軟體產業的成長速度。
將人工智慧 (AI) 整合到動態路徑規劃中,正在變革自動導引車 (AGV) 軟體,使車輛能夠在複雜環境中自主導航,而無需依賴磁帶等固定實體基礎設施。與傳統的基於規則的系統不同,AI 演算法能夠處理即時感測器數據並即時重新計算路線。這使得車隊能夠避開障礙物,並動態地優先處理緊急物料運輸。這種向自主適應性轉變的趨勢正成為現代工廠最佳化物料流的標準操作要求。根據羅克韋爾自動化於 2025 年 6 月發布的第十份年度智慧製造報告,95% 的製造商已投資或計劃在未來五年內投資人工智慧和機器學習技術,以增強營運韌性。
隨著人工智慧的普及,數位雙胞胎技術在模擬領域的應用正在改變機器人車隊的部署和最佳化方式。這項技術使設施管理人員能夠創建物理環境的虛擬副本,從而在運作實際車輛之前測試機器人車隊的行為、檢驗路徑邏輯並識別潛在的瓶頸。透過模擬各種運作場景,企業可以大幅降低部署風險,並最大限度地減少系統整合期間的停機時間。這種檢驗工具的日益普及顯而易見。根據2025年9月《機器人與自動化新聞》發表的題為「機器人調查揭示自主性和數位雙胞胎的發展趨勢」的報導,39.4%的組織已廣泛使用數位雙胞胎來管理機器人系統,另有51.7%的組織正在試用該技術。
The Global AGV Software Market is projected to experience robust growth, rising from a valuation of USD 3.59 Billion in 2025 to USD 7.22 Billion by 2031, reflecting a CAGR of 12.35%. This specific software category encompasses the centralized control systems that govern the navigation, traffic routing, and task scheduling of Automated Guided Vehicles within industrial settings. By coordinating fleet movements to prevent collisions and streamline material flow in warehouses and manufacturing plants, these technologies are essential for modern logistics. The market is primarily driven by the urgent need for operational efficiency and the necessity to mitigate global labor shortages, compelling industries to rely more heavily on software to orchestrate their increasingly complex internal logistics networks.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 3.59 Billion |
| Market Size 2031 | USD 7.22 Billion |
| CAGR 2026-2031 | 12.35% |
| Fastest Growing Segment | Automotive |
| Largest Market | North America |
However, the market faces a substantial challenge regarding the difficulty of achieving interoperability between new AGV software and existing legacy infrastructure, often leading to high implementation costs. Despite these technical barriers, the deployment of mobile robotics is accelerating. Data from the International Federation of Robotics indicates that in 2024, the transportation and logistics segment achieved sales of 102,900 units, marking a 14% increase driven by industrial automation demands. This statistical growth highlights the expanding scale of fleets, which subsequently requires increasingly robust management software to ensure effective operation.
Market Driver
The escalation of labor costs and a scarcity of available workers serve as primary catalysts propelling the adoption of AGV software. As industrial sectors face a widening skills gap and rising wages, companies are turning to automated solutions to sustain productivity rather than depending on a volatile human workforce. Advanced software platforms enable facilities to maximize the utility of their robotic fleets, ensuring continuous operation while reducing reliance on manual forklift operators. This strategic shift is supported by data from Rockwell Automation's '10th Annual State of Smart Manufacturing Report' from June 2025, which notes that 41% of manufacturers are using AI and automation specifically to bridge the skills gap and address labor shortages, allowing fewer personnel to oversee larger, more complex material handling operations.
Furthermore, the surge in global e-commerce and omnichannel fulfillment accelerates the deployment of sophisticated navigation and control systems. Modern fulfillment centers operate under immense pressure to process orders with exceptional speed and accuracy, requiring the dynamic routing and real-time task allocation that only robust software can provide. This demand is particularly acute in consumer-facing industries dealing with seasonal peaks. According to the Association for Advancing Automation's press release from February 2025, 'A3 Reports North American Robotics Market Holds Steady in 2024,' robot orders from the food and consumer goods sector jumped by 65% in 2024. Additionally, the International Federation of Robotics reported in 2025 that global sales of professional service robots reached nearly 200,000 units in 2024, a 9% increase that underscores the operational imperatives driving this sector.
Market Challenge
The technical difficulty of establishing interoperability between modern AGV software and existing legacy infrastructure acts as a significant restraint on market expansion. Many industrial facilities rely on older enterprise resource planning systems and warehouse management tools that are not inherently compatible with current robotic control architectures. Bridging this technological gap often necessitates expensive middleware and extensive engineering customization, which significantly increases the total cost of ownership. Consequently, these inflated implementation costs frequently compel companies to delay or scale back their automation projects, particularly when capital budgets are strictly scrutinized for return on investment.
This financial hesitation has resulted in a measurable deceleration in the adoption of automation technologies. According to the Association for Advancing Automation, North American companies ordered 15,705 robots in the first half of 2024, representing a decline of approximately 8% compared to the same period in the previous year. This contraction in procurement activity underscores how the financial burden of complex integrations can suppress demand. When the cost of synchronizing new software with established systems becomes prohibitive, it effectively limits the addressable market and slows the overall growth trajectory of the global AGV software sector.
Market Trends
The integration of Artificial Intelligence for dynamic path planning is transforming AGV software by empowering vehicles to navigate complex environments without reliance on rigid physical infrastructure like magnetic tapes. Unlike traditional rule-based systems, AI algorithms process real-time sensor data to instantly recalculate routes, allowing fleets to bypass obstacles and dynamically prioritize urgent material movements. This shift toward autonomous adaptability is becoming a standard operational requirement for modern facilities aiming to optimize material flow; according to Rockwell Automation's '10th Annual State of Smart Manufacturing Report' from June 2025, 95% of manufacturers have invested in or plan to invest in artificial intelligence and machine learning technologies over the next five years to enhance operational resilience.
Concurrent with AI adoption, the incorporation of Digital Twin technology for simulation is altering how robotic fleets are deployed and optimized. This technology enables facility managers to create virtual replicas of their physical environments, allowing them to test fleet behaviors, validate routing logic, and identify potential bottlenecks before physically commissioning any vehicles. By simulating various operational scenarios, companies can significantly reduce implementation risks and minimize downtime during system integration. The increasing adoption of this validation tool is evident; according to Robotics and Automation News in the September 2025 article 'Robotics Survey Highlights Autonomy and Digital Twins Trends,' 39.4% of organizations already utilize digital twins extensively for their robotic systems, with an additional 51.7% currently piloting the technology.
Report Scope
In this report, the Global AGV Software 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 AGV Software Market.
Global AGV Software 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: