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市場調查報告書
商品編碼
2129283
協作式移動機器人市場預測至2034年—按產品、組件、移動方式、應用、最終用戶和地區分類的全球分析Collaborative Mobile Robotics Market Forecasts to 2034 - Global Analysis By Product, Component, Mobility, Application, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球協作移動機器人市場規模將達到 62 億美元,並在預測期內以 13.2% 的複合年成長率成長,到 2034 年將達到 168 億美元。
協作式移動機器人是指能夠在共用的工業環境中與人類工人安全協同移動和運作的自主或半自動機器人系統。這些機器人,包括自主移動機器人和移動機械手臂,整合了導航系統、感測器、攝影機和機械臂,可執行物料搬運、揀選和組裝等任務。它們的設計旨在提高製造和物流作業的生產效率、柔軟性和安全性。
對靈活自動化的需求日益成長
受產品生命週期縮短和消費者需求變化的影響,製造業和物流業對靈活自動化的需求日益成長,加速了協作式移動機器人的普及應用。這些機器人可以輕鬆重新配置以適應各種任務和生產佈局,比傳統的固定式自動化設備更具柔軟性。它們能夠與人類安全運作,減少了對安全圍欄的需求,從而促進了更緊密的協作,並最終提高了營運效率。
初始成本高且整合複雜
採購協作機器人(包括機械臂、導航系統和感測器)的前期成本較高,這對於資金預算有限的小規模企業來說可能是一個障礙。此外,將這些機器人與現有的工廠基礎設施、倉庫管理系統和企業軟體整合也需要專業技術。持續的維護和軟體更新需求會進一步增加營運成本,並可能導致部署延期。
新應用和產業擴張
功能更全面、性能更高的協作式移動機器人的研發,正在開闢物料輸送之外的全新應用領域,例如機器送料、檢測和組裝。它們進軍醫療保健、食品加工和建築等新興產業,蘊藏著巨大的成長機會。先進人工智慧和視覺系統的整合,使機器人能夠執行更複雜的任務並適應動態環境,從而拓展其目標市場。
與安全和監管合規相關的挑戰
在動態環境中確保人機協作的安全仍然是一項重大挑戰,需要遵守嚴格的法規和標準。事故和傷害的風險可能導致巨大的責任和聲譽損失,從而阻礙人機協作的普及。來自傳統AGV和固定式自動化解決方案的競爭,由於這些方案被認為更可靠、更經濟高效,對市場佔有率構成持續威脅。
疫情初期,經濟情勢的不確定性擾亂了機器人零件的供應鏈,導致自動化專案延長。疫情中期,對非接觸式工作和高彈性供應鏈的需求激增,加速了移動機器人的應用。疫情後,隨著各行各業投資自動化以應對人手不足並提升營運柔軟性,市場經歷了顯著成長。
在預測期內,自主移動機器人領域,特別是協作機器人,預計將佔據最大的市場佔有率。
預計在預測期內,協作式自主移動機器人細分市場將佔據最大的市場佔有率,因為它結合了自主移動機器人(AMR)的自主導航能力和協作機器人(cobot)安全的人機互動能力,使其成為用途最廣泛、應用最廣泛的解決方案。倉儲、物流和製造業對能夠與人類安全協作的機器人有著強勁的需求,這推動了該細分市場的發展。導航和安全技術的不斷創新也進一步鞏固了該細分市場在協作式移動機器人市場的主導地位。
預計在預測期內,導航系統細分市場將呈現最高的複合年成長率。
在預測期內,導航系統領域預計將呈現最高的成長率,這主要得益於人工智慧地圖建構、避障和動態路徑規劃等自主導航技術的進步,這些技術對於移動機器人的性能至關重要。先進感測器和演算法的開發使機器人能夠在更複雜和動態的環境中導航。對無需維修基礎設施即可運作的機器人的需求日益成長,反過來又加速了先進導航系統的應用。
在預測期內,北美預計將佔據最大的市場佔有率,這主要得益於自動化技術的早期應用、機器人供應商的強大實力以及美國較高的人事費用。熟練人才的充足供應和政府的支持政策也進一步鞏固了該地區的市場領導地位。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於中國、日本和印度等國的快速工業化、機器人技術的廣泛應用以及製造業和物流行業的擴張。政府推動自動化發展的舉措以及解決勞動力短缺問題的需求是該地區市場成長的關鍵促進因素。
According to Stratistics MRC, the Global Collaborative Mobile Robotics Market is accounted for $6.2 billion in 2026 and is expected to reach $16.8 billion by 2034 growing at a CAGR of 13.2% during the forecast period. Collaborative mobile robotics refers to autonomous or semi-autonomous robotic systems that can safely navigate and operate alongside human workers in shared industrial environments. These robots, including autonomous mobile robots and mobile manipulators, integrate navigation systems, sensors, cameras, and robotic arms to perform tasks such as material transport, picking, and assembly. They are designed to enhance productivity, flexibility, and safety in manufacturing and logistics operations.
Growing Demand for Flexible Automation
The increasing need for flexible automation in manufacturing and logistics, driven by shorter product lifecycles and changing consumer demands, is accelerating the adoption of collaborative mobile robots. These robots can be easily reconfigured for different tasks and production layouts, offering greater flexibility than traditional fixed automation. The ability to operate safely alongside humans reduces the need for safety barriers and enables closer collaboration, thereby increasing operational efficiency.
High Initial Costs and Integration Complexity
The significant upfront costs associated with purchasing collaborative mobile robots, including robotic arms, navigation systems, and sensors, can be a barrier for smaller operations with limited capital budgets. The complexity of integrating these robots with existing factory infrastructure, warehouse management systems, and enterprise software requires specialized expertise. The need for ongoing maintenance and software updates further adds to operational costs and can slow adoption.
Expansion into New Applications and Industries
The development of more versatile and capable collaborative mobile robots is opening new applications beyond traditional material handling, including machine tending, inspection, and assembly. The expansion into new industries, such as healthcare, food processing, and construction, presents significant growth opportunities. The integration of advanced AI and vision systems is enabling robots to perform more complex tasks and adapt to dynamic environments, thereby expanding the addressable market.
Safety and Regulatory Compliance Challenges
Ensuring the safety of human-robot collaboration in dynamic environments remains a significant challenge, with strict regulations and standards that must be met. The risk of accidents and injuries can lead to costly liability and reputational damage, discouraging adoption. Competition from traditional AGVs and fixed automation solutions that are perceived as more reliable or cost-effective poses an ongoing threat to market share.
The pandemic initially disrupted supply chains for robotic components and delayed automation projects due to economic uncertainty. During the mid-pandemic period, the need for contactless operations and resilient supply chains drove accelerated adoption of mobile robots. Post-pandemic, the market has seen significant growth as industries invest in automation to address labor shortages and improve operational flexibility.
The collaborative autonomous mobile robots segment is expected to be the largest during the forecast period
The collaborative autonomous mobile robots segment is expected to account for the largest market share during the forecast period, due to their ability to combine the autonomous navigation of AMRs with the safe human interaction of cobots, making them the most versatile and widely applicable solution. This segment benefits from strong demand in warehousing, logistics, and manufacturing for robots that can work safely alongside humans. The continuous innovation in navigation and safety technologies further reinforces their dominance in the collaborative mobile robotics market.
The navigation systems segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the navigation systems segment is predicted to witness the highest growth rate, driven by the increasing sophistication of autonomous navigation technologies, including AI-based mapping, obstacle avoidance, and dynamic path planning, which are critical for mobile robot performance. The development of advanced sensors and algorithms is enabling robots to navigate more complex and dynamic environments. The growing demand for robots that can operate without infrastructure modifications is in turn accelerating the adoption of advanced navigation systems.
During the forecast period, the North America region is expected to hold the largest market share, due to the early adoption of automation technologies, strong presence of robotics vendors, and high labor costs in the United States. The availability of skilled talent and supportive government policies further reinforce the region's market leadership.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to the rapid industrialization, growing adoption of robotics, and expanding manufacturing and logistics sectors in countries like China, Japan, and India. Government initiatives to promote automation and the need to address labor shortages are key drivers of market growth in this region.
Key players in the market
Some of the key players in Collaborative Mobile Robotics Market include ABB Ltd., FANUC Corporation, Yaskawa Electric Corporation, KUKA AG, Siemens AG, Omron Corporation, Universal Robots A/S, Mobile Industrial Robots A/S, Teradyne, Inc., Rockwell Automation, Inc., Honeywell International Inc., Schneider Electric SE, FedEx Corporation, Amazon.com, Inc., Daifuku Co., Ltd., Interroll Holding AG, Zebra Technologies Corporation and Toyota Industries Corporation.
In July 2026, ABB launched a collaborative mobile robot integrating AI-based navigation with a high-precision robotic arm, enabling flexible material handling, assembly, and adaptive manufacturing applications.
In May 2026, Universal Robots introduced a mobile manipulator combining its collaborative robotic arm with an autonomous mobile platform, supporting flexible material handling, machine tending, assembly, and industrial automation.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.