市場調查報告書
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1603781
協作機器人的全球市場預測(~2030 年):按組件、最大負載容量、應用、最終用戶和區域進行分析Collaborative Robot Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Payload Capacity (Up to 5 kg, 5-10 kg and Above 10 kg), Application, End User and By Geography |
根據Stratistics MRC的數據,2024年全球協作機器人市場規模為20.1億美元,預計2030年將達到122.3億美元,預測期內複合年成長率為36.4%。
協作機器人 (cobot) 是一種機器人系統,旨在與人類工人在共用空間中安全地工作,從而提高生產力和靈活性。協作機器人通常重量輕且易於使用,具有先進的感測器、力控制和編程介面,可確保安全互動。其協作性質允許快速部署、降低設定成本並適應各種任務,使其成為中小型企業的理想選擇。
據IFR稱,家用機器人是最大的消費機器人群體,預計2023年將達到4,860萬台。
改善職場安全
協作機器人旨在透過先進的感測器、力限制功能和人工智慧監控系統與人類一起安全工作。透過承擔危險、重複性和體力需求較高的任務,您可以降低職場受傷的風險,並最大限度地減少人類暴露在危險環境中的機會。這種安全改進對於優先考慮工人安全的行業(例如製造、物流和醫療保健)尤其有吸引力。隨著公司努力創造更安全的工作環境,對協作機器人的需求將會增加,從而導致採用率的提高和市場的進一步成長。
初期投資成本高
協作機器人 (cobot) 市場的初始投資成本較高,原因在於與先進技術、整合、程式設計和安全合規性相關的成本。協作機器人需要感測器、人工智慧驅動的軟體以及針對特定行業客製化的自訂應用程式,這會增加成本。此外,整合到現有工作流程和操作員培訓成本高昂。這些高昂的初始成本阻礙了潛在的購買者,公司可能會因預算限制而推遲或放棄採用,從而減緩市場成長。
人工智慧和機器學習的進步
人工智慧使協作機器人能夠以更高的準確性和更快的回應時間執行更複雜、更精確的任務,使其適合跨產業的複雜流程。機器學習使協作機器人能夠從資料和過去的經驗中學習,從而實現預測性維護、減少錯誤和持續最佳化。這些進步也透過增強協作機器人在動態環境中的感知和反應,使協作機器人更安全。隨著人工智慧主導的協作機器人變得更加智慧、能力更強,它們正在吸引尋求靈活、自主和智慧自動化解決方案的產業。
對工作流失的擔憂
隨著協作機器人自動化傳統上由人類執行的任務,人們擔心工作會被取代,特別是在重複性體力勞動程度較高的領域。這可能會導致人們擔心就業機會減少,特別是低技能工作。此外,業界可能面臨監管審查和輿論反彈。由於工人、工會和政策制定者因感知到的社會和經濟影響而抵制自動化,因此這種擔憂可能會阻礙協作機器人市場的成長。
COVID-19 的影響
隨著公司尋求自動化解決方案來解決勞動力短缺、健康問題和供應鏈中斷問題,COVID-19 的爆發加速了對協作機器人的需求。協作機器人在以最少的人機互動維持生產方面變得非常有價值,特別是在電子商務、製造和醫療保健等領域。協作機器人減少了生產線上的社交距離,並實現了業務的快速擴張。大流行後,隨著各行業認知到協作機器人在提高效率、靈活性和應對未來干擾的能力方面的作用,這種需求預計將保持強勁。
物料輸送領域預計將在預測期內成為最大的領域
預計物料輸送領域將在整個預測期內獲得最大的市場佔有率。在物料輸送應用中,協作機器人透過有效地自動化重複性和體力需求較高的任務(例如分類、裝載和堆疊)來改變工作流程。協作機器人透過處理重物來提高職場的安全性,並降低因人類工人壓力而受傷的風險。協作機器人能夠在沒有重大安全障礙的情況下與人類一起工作,進一步簡化了流程,使其成為尋求高效和可擴展自動化的中小型企業的理想選擇。
電子產業預估在預測期內複合年成長率最高
預計電子領域在預測期內的複合年成長率最高。在電子製造中,協作機器人在處理電路基板組裝、焊接、測試和包裝等精密和重複性任務方面發揮關鍵作用。協作機器人的精確度和與人類操作員一起安全工作的能力使協作機器人成為精密電子元件的理想選擇,從而減少錯誤並提高生產力。這使得能夠快速響應技術和需求的快速變化,並支援精益製造和縮短生產週期,這對於快速發展的電子產業至關重要。
在工業自動化程度提高、勞動力短缺以及政府對先進製造業的支持的推動下,預計亞太地區將在預測期內創下最大的市場佔有率。電子、汽車和消費品等產業在協作機器人整合方面處於主導,中國、日本和韓國等主要國家是主要採用者。對提高生產力、品質和安全性的需求正在推動協作機器人的採用,使亞太地區成為擴大協作機器人的主要市場。
由於製造、物流和醫療保健等行業對自動化的需求,預計北美在預測期內的複合年成長率最高。美國在該地區處於領先地位,汽車、電子和食品加工等行業的採用率不斷提高。對工人安全的重視以及協作機器人與人類一起操作的靈活性進一步增強了它們的吸引力,使北美成為協作機器人市場成長的關鍵地區。
According to Stratistics MRC, the Global Collaborative Robot Market is accounted for $2.01 billion in 2024 and is expected to reach $12.23 billion by 2030 growing at a CAGR of 36.4% during the forecast period. A collaborative robot, or cobot, is a type of robotic system designed to work safely alongside human workers in shared spaces, enhancing productivity and flexibility. Cobots are typically lightweight, user-friendly, and equipped with advanced sensors, force control, and programming interfaces to ensure safe interactions. Their collaborative nature enables faster deployment, reduced setup costs, and adaptability to various tasks, making them ideal for small to medium-sized businesses.
According to the IFR, robots for domestic tasks constituted the largest group of consumer robots and were anticipated to reach 48.6 million by 2023, respectively.
Increased workplace safety
Cobots are designed with advanced sensors, force-limiting capabilities, and AI-powered monitoring systems that allow them to work alongside humans safely. They take on hazardous, repetitive, or physically demanding tasks, reducing the risk of workplace injuries and minimizing human exposure to dangerous environments. This safety enhancement is particularly appealing in industries like manufacturing, logistics, and healthcare, where worker safety is a priority. As companies strive to create safer work environments, the demand for cobots rises, leading to widespread adoption and further market growth.
High initial investment costs
High initial investment costs in the collaborative robot (cobot) market arise from expenses related to advanced technology, integration, programming, and safety compliance. Cobots require sensors, AI-driven software, and custom applications tailored to specific industries, which drives up costs. Additionally, integration into existing workflows and training for operators can be costly. These high upfront expenses deter potential buyers, slowing market growth as companies may delay or forgo adoption due to budget constraints.
Advances in AI and machine learning
AI enables cobots to perform more complex, precise tasks with improved accuracy and faster response times, making them suitable for intricate processes across industries. Machine learning allows cobots to learn from data and past experiences, enabling predictive maintenance, error reduction, and continuous optimization. These advancements also improve cobot safety by enhancing perception and response in dynamic environments. As AI-driven cobots become smarter and more versatile, they attract industries seeking flexible, autonomous, and intelligent automation solutions.
Concerns over job displacement
Concerns over job displacement arise as cobots automate tasks traditionally performed by humans, especially in sectors with repetitive, manual work. This can lead to fears of reduced employment opportunities, particularly in lower-skilled roles. Additionally, industries may face regulatory scrutiny or public backlash against widespread adoption. Such concerns may hinder cobot market growth as workers, labor unions, and policymakers resist automation due to its perceived social and economic impact.
Covid-19 Impact
The covid-19 pandemic accelerated the demand for cobots as companies sought automation solutions to address labor shortages, health concerns, and supply chain disruptions. Cobots became valuable in maintaining production with minimal human interaction, especially in sectors like e-commerce, manufacturing, and healthcare. They enabled social distancing on production lines and facilitated rapid scaling of operations. Post-pandemic, this demand remains strong as industries recognize cobots' role in enhancing efficiency, flexibility, and resilience against future disruptions.
The material handling segment is expected to be the largest during the forecast period
The material handling segment is predicted to secure the largest market share throughout the forecast period. In material handling applications, cobots are transforming workflows by efficiently automating repetitive and physically demanding tasks, such as sorting, loading, and palletizing. Cobots improve workplace safety by handling heavy loads, reducing the risk of strain-related injuries for human workers. Cobots' ability to work alongside humans without extensive safety barriers further streamlines processes, making them ideal for small to medium enterprises seeking efficient, scalable automation.
The electronics segment is expected to have the highest CAGR during the forecast period
The electronics segment is anticipated to witness the highest CAGR during the forecast period. In electronics manufacturing, cobots play a key role in handling precise, repetitive tasks like assembling circuit boards, soldering, testing, and packaging. Their accuracy and ability to work safely alongside human operators make cobots ideal for delicate electronic components, reducing errors and increasing productivity. This allows for faster adaptation to rapid changes in technology and demand, supporting lean manufacturing and shorter production cycles, essential in the fast-evolving electronics industry.
Asia Pacific is expected to register the largest market share during the forecast period driven by increasing industrial automation, labor shortages, and government support for advanced manufacturing. Key countries like China, Japan, and South Korea are major adopters, with industries such as electronics, automotive, and consumer goods leading cobot integration. The demand for improved productivity, quality, and safety is fueling cobot adoption, positioning Asia-Pacific as a prominent market for collaborative robotics expansion.
North America is projected to witness the highest CAGR over the forecast period driven by the need for automation across industries like manufacturing, logistics, and healthcare. The U.S. leads the region, with increased adoption in sectors such as automotive, electronics, and food processing. The emphasis on worker safety and the flexibility of cobots to operate alongside humans further boosts their appeal, positioning North America as a key region for cobot market growth.
Key players in the market
Some of the key players profiled in the Collaborative Robot Market include ABB Limited, KUKA AG, Yaskawa Electric Corporation, Universal Robots, FANUC Corporation, Denso Corporation, Kawasaki Heavy Industries Limited, Nachi-Fujikoshi Corporation, Doosan Robotics, Mitsubishi Electric Corporation, Omron Corporation, Franka Emika GmbH, Staubli International AG, AUBO Robotics, Precise Automation Inc., Rethink Robotics, Techman Robot Inc., F&P Robotics AG, Comau SpA, Elephant Robotics.
In June 2024, Universal Robots introduced the UR20 cobot at Automatica 2024. The UR20 is high-payload cobot capable of handling loads up to 20 kg. The UR20 features a larger reach of 1750 mm (compared to previous models), which allows it to cover a broader workspace and handle tasks involving larger parts or materials. The UR20 also incorporates energy efficiency features and advanced safety protocols that enable it to work safely alongside human operators in shared workspaces.
In February 2024, ABB launched the ABB SWIFTI CRB 1300, a high-speed collaborative robot (cobot) optimized for light assembly and machine-tending tasks. It offers a standout combination of speed and payload capabilities, able to handle up to 11 kg, setting it apart in its class for tasks that require rapid and repetitive movements. The CRB 1300 merges ABB's signature speed and precision with enhanced safety features, making it suitable for shared workspaces.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.