全球協作機器人市場成長機會（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個工作天內

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簡介目錄

工業4.0和人工智慧推動跨產業協作機器人市場擴張

協作機器人（Cobot）是人類工人的補充，而非替代。隨著多個產業向彈性自動化轉型，協作機器人的應用加速發展。它們能夠安全地與人類協作，尤其是在重複性任務中，同時保持品質並提高營運效率，這吸引了許多行業客戶的注意。人工智慧、產業專用末端執行器、移動協作機器人以及創新經營模式等趨勢增強了協作機器人的功能並拓展了部署選擇。此外，技術純熟勞工短缺、人事費用上升以及無需程式碼的協作機器人程式設計有助於降低培訓和重新編程成本。透過將人工智慧與數位雙胞胎技術相結合，協作機器人將製造業轉變為協作型職場，實現碰撞規避、快速部署/最佳化和預測性維護等功能。

本報告分析了全球協作機器人市場，並概述了推動和抑制市場成長的因素及其在2025-2029年預測期間的預期影響。

成長促進因素

為了緩解全球勞動力短缺和薪資上漲的局面，製造商們正轉向使用協作機器人來填補勞動力缺口。協作機器人成本的下降以及「機器人即服務」模式的靈活性，推動中小企業採用自動化技術。訂閱和租賃方案最大限度地減少了資本投入，並允許逐步擴展自動化規模。
協作機器人（cobot）在各行各業的應用目的是解決高混合、小批量生產中管理變異性的難題。協作機器人消除了人工操作帶來的成本、誤差和效率的挑戰。它們能夠快速安裝並輕鬆整合到現有生產線中，這使得協作機器人成為各種規模企業切實可行的解決方案，並進一步加速了其在各行各業的普及應用。
國際標準化組織（ISO）和職業安全與健康管理局（OSHA）等監管機構執行嚴格的職場安全標準，鼓勵企業轉向更安全的自動化解決方案，包括協作機器人。隨著企業在努力維持營運效率的同時滿足安全標準，預計對協作機器人的需求將進一步成長。

成長抑制因素

與現有系統的兼容性仍然是協作機器人應用於製造業的關鍵挑戰，也是實現無縫部署的一大難題。此外，任何對現狀的改變都需要對員工進行培訓，這無疑增加了流程的複雜性。
協作機器人的缺點在高速、重型應用中尤其明顯，其速度慢、移動範圍有限，往往導致客戶更喜歡其他類型的機器人（例如 SCARA）。
工作台或環境的任何變化都需要對協作機器人進行重新編程才能實現無縫操作，這很麻煩，需要持續的人工干預和安全預防措施。

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.