全球协作机器人市场成长机会（2025-2029）

Growth Opportunities in the Global Cobot Market, 2025-2029

出版日期: 2025年09月24日 | 出版商:

Frost & Sullivan | 英文 14 Pages | 商品交期: 最快1-2个工作天内

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简介目录

工业4.0和人工智慧推动跨产业协作机器人市场扩张

协作机器人（Cobot）是人类工人的补充，而非替代。随着多个产业向弹性自动化转型，协作机器人的应用正在加速发展。它们能够安全地与人类协作，尤其是在重复性任务中，同时保持品质并提高营运效率，这吸引了许多行业客户的注意。人工智慧、产业专用末端执行器、移动协作机器人以及创新经营模式等趋势增强了协作机器人的功能并拓展了部署选择。此外，技术纯熟劳工短缺、人事费用上升以及无需程式码的协作机器人程式设计有助于降低培训和重新编程成本。透过将人工智慧与数位双胞胎技术相结合，协作机器人正在将製造业转变为协作型职场，从而实现碰撞规避、快速部署/优化和预测性维护等功能。

本报告分析了全球协作机器人市场，并概述了推动和抑制市场成长的因素及其在 2025-2029 年预测期间的预期影响。

成长驱动因素

为了缓解全球劳动力短缺和薪资上涨的局面，製造商们正转向使用协作机器人来填补劳动力缺口。协作机器人成本的下降以及「机器人即服务」模式的灵活性，正在推动中小企业采用自动化技术。订阅和租赁方案最大限度地减少了资本投入，并允许逐步扩展自动化规模。
协作机器人（cobot）在各行各业的应用旨在解决高混合、小批量生产中管理变异性的难题。协作机器人消除了人工操作带来的成本、误差和效率的挑战。它们能够快速安装并轻鬆整合到现有生产线中，这使得协作机器人成为各种规模企业切实可行的解决方案，并进一步加速了其在各行各业的普及应用。
国际标准化组织 (ISO) 和职业安全与健康管理局 (OSHA) 等监管机构正在执行严格的职场安全标准，鼓励企业转向更安全的自动化解决方案，包括协作机器人。随着企业在努力维持营运效率的同时满足安全标准，预计对协作机器人的需求将进一步成长。

成长抑制因素

与现有系统的兼容性仍然是协作机器人应用于製造业的关键挑战，也是实现无缝部署的一大难题。此外，任何对现状的改变都需要对员工进行培训，这无疑增加了流程的复杂性。
协作机器人的缺点在高速、重型应用中尤其明显，其速度慢、移动范围有限，往往导致客户更喜欢其他类型的机器人（例如 SCARA）。
工作台或环境的任何变化都需要对协作机器人进行重新编程才能实现无缝操作，这很麻烦，需要持续的人工干预和安全预防措施。

This study examines potential growth opportunities for the collaborative robot (cobot) market across various global industries. Cobots are used in applications wherein they complement the work carried out by human workers rather than replace them. The growing shift toward flexible automation in multiple industries is driving widespread adoption of cobots. The focus on maintaining quality and enhancing operational efficiency while collaborating safely with humans, especially on repetitive tasks, appeals to customers across industries. Trends such as artificial intelligence (AI), industry-specific end effectors, mobile cobots, and innovative business models will enhance cobot functionalities and expand deployment options. Furthermore, the shortage of skilled labor and rising labor costs, coupled with no-code cobot programming, support reducing training and reprogramming costs. With technologies such as digital twins coupled with AI enabling collision avoidance, faster deployment/optimization, and predictive maintenance capabilities, cobots are transforming manufacturing into a collaborative workplace. This analysis outlines the factors driving and restraining the growth of the global cobot market, as well as their anticipated impact throughout the forecast period from 2025 to 2029.

The Impact of the Top 3 Strategic Imperatives on the Cobot Market

Disruptive Technologies

Why

Advanced sensors and specialized end-effectors augment the cognitive abilities of collaborative robots (cobots), resulting in efficient and safe interaction with objects and surroundings. Extended reality (XR) offers an immersive experience and elevates human-machine interaction.

Frost Perspective

Haptic feedback enables handling fragile and soft objects of varying sizes and shapes. This will create new opportunities. Simulations using digital twins will continue to grow over the next 3 to 5 years as customers demand a reduction in implementation time.

Competitive Intensity

Why

As industrial cobots garner interest across industries, the market is witnessing the entry of several new players, intensifying competition. Additionally, competitors from allied industries (e.g., traditional robot vendors, automation vendors, open-source software vendors) are entering this market. China views robotics as the growth engine for industrial transformation. The emergence of low-cost Chinese robots is intensifying competition with US manufacturers.

Frost Perspective

In the next 3 to 5 years, the prominence of Asian participants in the global cobot market will increase, challenging regional and other global conglomerates. The ability to offer application-specific solutions will be key in addressing customer needs. Product differentiation in cobots will increasingly focus on customer-centric capabilities to adapt to different production requirements. By 2028, hardware components and cobot pricing will decrease due to increased competition.

Innovative Business Models

Why

Robotics-as-a-service model offers payment flexibility, especially for SMEs struggling with high upfront costs. Companies are introducing platform-based open-source models and creating an ecosystem to address specific customer needs. Outcome-based pricing and service agreements are other models available in the industry.

Frost Perspective

By 2030, the subscription-based pricing model will become more prominent. Refurbished robots will be used in less demanding applications, while robot rentals will be a prominent business model explored in this space.

Growth Drivers

To mitigate global labor shortages and rising wages, manufacturers are utilizing cobots to bridge the workforce gap. The decreasing cost of cobots and the flexibility of the robots-as-a-service model drive automation adoption by small and medium enterprises (SMEs). The option to subscribe and lease minimizes capital investment and enables incremental scaling of automation.
The use of cobots across various industries aims to address the challenge of managing variability in high-mix, low-volume production tasks. Cobots eliminate the cost of manual work, errors, and throughput. The ability to quickly install and easily integrate with existing production lines makes cobots readily adoptable, practical solutions for businesses of any scale, further fueling their adoption across diverse industries.
Regulatory bodies, such as the International Organization for Standardization (ISO) and the Occupational Safety and Health Administration (OSHA), implement stringent workplace safety standards that encourage the transition to safer automation solutions, including cobots. As businesses strive to meet safety standards while maintaining operational efficiency, demand for cobots is expected to grow further.

Growth Restraints

Compatibility with existing systems for seamless deployment remains a key concern in the adoption of cobots in manufacturing. Moreover, a change from the status quo will necessitate employee training, further complicating the process.
The shortcomings of cobots are particularly evident in high-speed and heavy-duty applications. Lack of speed and encumbrance of cobots drive customer preferences toward other robot types (e.g., Selective Compliance Assembly Robot Arm [SCARA]).
Workbench and environmental changes require reprogramming cobots for seamless operations. This requires constant human intervention and safety considerations, making it cumbersome.