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市场调查报告书
商品编码
1904722
协作机器人(Cobot)市场预测至2032年:按组件、有效载荷能力、部署类型、应用、最终用户和地区分類的全球分析Collaborative Robot (Cobot) Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, and Services), Payload Capacity, Deployment, Application, End User and By Geography |
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根据 Stratistics MRC 的一项研究,预计到 2025 年,全球协作机器人(cobot)市场价值将达到 36.9257 亿美元,到 2032 年将达到 177.0641 亿美元,预测期内复合年增长率为 25.1%。
协作机器人(简称「人机协作机器人」)是一种工业机器人,旨在与人类在共用工作空间中安全协作。与在独立环境中运作的传统机器人不同,人机协作机器人配备了先进的感测器、力限制功能和智慧控制系统,能够与操作人员进行即时互动。人机协作机器人易于编程且部署柔软性,广泛应用于组装、包装、检测和物料输送等任务,从而在提高生产效率的同时,也增强了职场的安全性和效率。
根据 Statista 的一项调查,2021 年有 20,000 人被问到为什么选择网路购物。
易于编程和部署
协作机器人采用直觉式的介面、拖放式程式设计和手动示教功能,即使是非专业人员也能高效操作。这减少了对专业机器人技术人员的依赖,帮助製造商降低培训成本。由于协作机器人具有柔软性和快速安装的优势,中小企业也越来越多地采用它们。与传统工业机器人不同,协作机器人只需进行少量重新配置即可部署到多个任务中。其即插即用功能可加快生产规模扩张并缩短试运行时间。随着製造商寻求灵活的自动化解决方案,协作机器人的易用性持续推动其普及。
与旧有系统的集成
许多製造工厂运作缺乏数位化连接和标准化通讯协定的传统机械设备。将协作机器人整合到这些环境中通常需要额外的硬体、中间件或系统升级,从而增加部署的复杂性和整体实施成本。不一致的资料格式和互通性进一步延缓了自动化专案的倡议。小规模的企业在系统整合阶段可能会遇到营运中断。因此,相容性问题会阻碍自动化技术的普及,尤其是在棕地製造环境中。
人工智慧与机器视觉的融合
人工智慧协作机器人能够从运行数据中学习,并透过自适应决策提升效能。机器视觉系统使协作机器人无需复杂的程式设计即可识别物体、侦测缺陷并执行精确任务。这使得它们更适用于品质检测和柔性组装等复杂应用。深度学习和边缘运算的进步进一步拓展了协作机器人的功能。各行各业正在利用智慧协作机器人来适应动态的生产环境和客製化製造。这些技术进步正在电子、医疗和物流等产业开闢新的应用情境。
网路安全漏洞
随着协作机器人透过物联网平台和云端监控实现更紧密的互联,它们也更容易受到潜在的网路攻击。未授权存取可能会扰乱营运、洩露敏感的生产资料或改变机器人的行为。製造环境通常缺乏专门针对互联机器人设计的强大网路安全框架。人工智慧和远距离诊断的日益普及进一步扩大了攻击面。遵守网路安全标准也会增加製造商的成本和复杂性。
新冠疫情加速了自动化普及,对协作机器人市场产生了重大影响。劳动力短缺和保持社交距离的要求增加了人机协作解决方案的需求。协作机器人使製造商能够在降低生产车间人员密度的同时,维持生产的连续性。然而,早期的封锁措施扰乱了供应链,并延误了硬体交付时间。疫情也凸显了灵活自动化在应对需求突变的重要性。疫情后的復苏阶段,对具有弹性和扩充性的机器人系统的投资增加。因此,协作机器人正日益被视为面向未来的製造业策略资产。
预计在预测期内,硬体细分市场将占据最大的市场份额。
预计在预测期内,硬体部分将占据最大的市场份额,因为製造业和非工业领域的应用日益广泛,推动了对实体机器人组件的强劲需求。轻量材料和力限制技术的不断进步正在提升硬体性能。製造商正大力投资于符合国际合作标准的、通过安全认证的硬体。日益增长的客製化需求也推动了对专用末端执行器的需求。这些因素共同巩固了硬体部分的市场主导地位。
预计在预测期内,医药和医疗保健产业将实现最高的复合年增长率。
预计在预测期内,製药和医疗保健产业将保持最高的成长率。协作机器人(Cobot)正越来越多地应用于实验室自动化、医疗设备组装和无菌包装等领域。其精准性和可重复性能够满足医疗保健环境中严格的品质和合规性要求。它们能够与人类工作人员安全协作,因此是洁净室和临床环境的理想选择。药品产量和诊断检测量的成长进一步推动了协作机器人的应用。与视觉系统的整合使得协作机器人能够精确处理小型精密零件。
由于亚太地区拥有强大的製造业基础和不断增长的自动化投资,预计该地区在预测期内将保持最大的市场份额。中国、日本和韩国等国家正积极采用协作机器人来应对劳动力短缺和生产力挑战。政府支持智慧製造和工业4.0的措施正在加速协作机器人的普及。本土製造商也提供具有成本竞争力的协作机器人解决方案,从而扩大市场渗透率。电子、汽车和消费品产业的强劲需求正在支撑持续成长。
在预测期内,由于先进自动化技术的快速普及和强大的创新生态系统,北美预计将实现最高的复合年增长率。製造商正越来越多地采用协作机器人来支援灵活的小批量生产模式。高昂的人事费用正在推动中小企业的自动化进程。人工智慧、机器视觉和云端分析的整合在该地区更为普遍。支持性的法规结构和安全标准正在加速这些技术的普及应用。
According to Stratistics MRC, the Global Collaborative Robot (Cobot) Market is accounted for $3692.57 million in 2025 and is expected to reach $17706.41 million by 2032 growing at a CAGR of 25.1% during the forecast period. A Collaborative Robot (Cobot) is a type of industrial robot designed to work safely alongside humans within a shared workspace. Unlike traditional robots that operate in isolated environments, cobots are equipped with advanced sensors, force-limiting features, and intelligent control systems that enable real-time interaction with human operators. They are easy to program, flexible to deploy, and widely used for tasks such as assembly, packaging, inspection, and material handling, improving productivity while enhancing workplace safety and efficiency.
According to a survey by Statista, 20,000 individuals were asked why they chose to shop online in 2021.
Ease of programming and deployment
Cobots are designed with intuitive interfaces, drag-and-drop programming, and hand-guided teaching, allowing non-expert workers to operate them efficiently. This reduces dependency on specialized robotics engineers and lowers training costs for manufacturers. Small and medium-sized enterprises are increasingly adopting cobots due to their flexibility and quick installation capabilities. Unlike traditional industrial robots, cobots can be redeployed across multiple tasks with minimal reconfiguration. Their plug-and-play functionality enables faster production scaling and shorter commissioning times. As manufacturers seek agile automation solutions, ease of use continues to accelerate cobot adoption.
Integration with legacy systems
Many manufacturing facilities operate with older machinery that lacks digital connectivity or standardized communication protocols. Integrating cobots into such environments often requires additional hardware, middleware, or system upgrades. This increases deployment complexity and raises overall implementation costs. Inconsistent data formats and limited interoperability further slow automation initiatives. Smaller organizations may face operational disruptions during system integration phases. As a result, compatibility concerns can delay adoption, particularly in brownfield manufacturing settings.
AI and machine vision integration
AI-enabled cobots can learn from operational data and improve performance through adaptive decision-making. Machine vision systems allow cobots to identify objects, detect defects, and perform precision tasks without rigid programming. This enhances their suitability for complex applications such as quality inspection and flexible assembly. Advances in deep learning and edge computing are further expanding cobot capabilities. Industries are leveraging intelligent cobots to handle variable production environments and customized manufacturing. These technological enhancements are opening new use cases across electronics, healthcare, and logistics sectors.
Cybersecurity vulnerabilities
As cobots become more connected through IoT platforms and cloud-based monitoring, they are exposed to potential cyberattacks. Unauthorized access can disrupt operations, compromise sensitive production data, or manipulate robotic behavior. Manufacturing environments often lack robust cybersecurity frameworks tailored for connected robotics. The growing use of AI and remote diagnostics further expands the attack surface. Compliance with cybersecurity standards adds additional cost and complexity for manufacturers.
The COVID-19 pandemic significantly influenced the collaborative robot market by accelerating automation adoption. Labor shortages and social distancing requirements increased demand for human-robot collaboration solutions. Cobots enabled manufacturers to maintain production continuity while reducing workforce density on shop floors. However, initial lockdowns disrupted supply chains and delayed hardware deliveries. The pandemic also highlighted the importance of flexible automation in responding to sudden demand fluctuations. Post-pandemic recovery has strengthened investments in resilient and scalable robotic systems. As a result, cobots are increasingly viewed as strategic assets for future-proof manufacturing.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period, due to rising adoption across manufacturing and non-industrial sectors is driving strong demand for physical robotic components. Continuous advancements in lightweight materials and force-limiting technologies are enhancing hardware performance. Manufacturers are investing heavily in safety-certified hardware to meet international collaboration standards. Increasing customization requirements are also boosting demand for specialized end-effectors. These factors collectively reinforce the hardware segment's leading market position.
The pharmaceuticals & healthcare segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the pharmaceuticals & healthcare segment is predicted to witness the highest growth rate. Cobots are increasingly used for tasks such as laboratory automation, medical device assembly, and sterile packaging. Their precision and repeatability support stringent quality and compliance requirements in healthcare environments. The ability to safely operate alongside human staff makes cobots ideal for cleanroom and clinical settings. Rising pharmaceutical production and diagnostic testing volumes are further fueling adoption. Integration with vision systems enables accurate handling of small and delicate components.
During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to strong manufacturing base and increasing automation investments. Countries such as China, Japan, and South Korea are actively adopting cobots to address labor shortages and productivity challenges. Government initiatives supporting smart manufacturing and Industry 4.0 are accelerating deployment. Local manufacturers are also offering cost-competitive cobot solutions, expanding market penetration. High demand from electronics, automotive, and consumer goods industries supports sustained growth.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to rapid adoption of advanced automation technologies and strong innovation ecosystems. Manufacturers are increasingly deploying cobots to support flexible and low-volume production models. High labor costs are encouraging automation across small and mid-sized enterprises. Integration of AI, machine vision, and cloud analytics is more advanced in this region. Supportive regulatory frameworks and safety standards are facilitating faster adoption.
Key players in the market
Some of the key players in Collaborative Robot (Cobot) Market include Universal Robots, Comau S.p.A., FANUC Corporation, Staubli International AG, ABB Ltd., Epson Robots, KUKA AG, Franka Emika, Techman Robot, Rethink Robotics, Aubo Robotics, Precise Automation, Yaskawa Electric, Omron Corporation, and Doosan Robotics.
In December 2025, ABB announced that it has signed an agreement to acquire Netcontrol, a provider of electrical grid automation solutions for power utilities and critical infrastructure operators. The transaction is expected to close in Q1 2026, subject to regulatory approvals and customary closing conditions. Financial terms were not disclosed.
In November 2025, Universal Robots (UR) is powering a new era of marine manufacturing automation through its partnership with Viam, a modern software engineering platform for robotics. At the center of this collaboration is a robotic block sanding system designed to streamline fiberglass sanding for yacht builders - a task that is traditionally very labor-intensive and physically demanding.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.