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市場調查報告書
商品編碼
1750348

協作製造機器人市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

Collaborative Manufacturing Robots Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 135 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2024年,全球協作製造機器人市場規模達1.217億美元,預計到2034年將以10.5%的複合年成長率成長,達到3.291億美元。這得歸功於各行各業自動化程度的提升,透過與人類協同工作,機器人能夠同時提高生產力和安全性。這種轉變源自於企業對靈活、可擴展的自動化解決方案日益成長的需求,尤其是在中小企業中。中小企業擴大採用經濟高效的可程式協作機器人(cobot)作為自動化手段,而無需大量的前期投資。由於資源有限,中小企業認為這些機器人是提高生產力並維持較低資本支出的理想解決方案。

協作製造機器人市場 - IMG1

協作機器人能夠無縫整合到現有工作流程中,並靈活地處理各種任務,使其成為尋求保持競爭力的小型企業的理想之選。這些機器人可以處理重複性、單調性或體力勞動,從而解放人類員工,讓他們專注於更複雜、更具創造性或更具決策性的職責。透過自動化日常功能,協作機器人有助於改善營運工作流程,減少人為錯誤,並確保產出一致性。這種轉變不僅提高了任務的速度和精確度,也減輕了員工的身體負擔,降低了工傷和疲勞的風險。因此,企業可以透過提高員工敬業度來維持更高的生產力水準。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 1.217億美元
預測值 3.291億美元
複合年成長率 10.5%

市場根據有效載荷能力細分為 5 公斤以下、5-10 公斤、10-25 公斤和 25 公斤以上等類別。 2024 年,5 公斤以下細分市場創造了 4,640 萬美元的市場規模,預計到 2034 年將以 9.6% 的複合年成長率成長。此類協作機器人在電子和製藥等需要精密操作的行業中備受青睞,這些行業通常執行組裝、拾取和測試等輕量級任務。其緊湊的設計也使其成為空間受限環境的理想選擇,可提供靈活的自動化解決方案。協作機器人能夠精確地處理較小的有效載荷,這對於尋求經濟高效且可靠自動化方案的中小企業來說至關重要。

2024年,物料搬運領域佔據41.5%的市場佔有率,預計2034年將達到1.448億美元,這得益於物流和倉儲效率日益成長的重要性。協作機器人已被證明在物料搬運方面非常高效,能夠快速且準確地執行分類、包裝、堆疊和運輸貨物等任務。隨著各行各業努力最佳化供應鏈並降低勞動成本,協作機器人被視為實現這些關鍵功能自動化的關鍵工具。在精準度、速度以及能夠在人類附近操作至關重要的產業中,物料搬運領域對協作機器人的需求尤其強勁。

美國協作製造機器人市場在2024年創收2,730萬美元,預計到2034年將以11%的複合年成長率成長,這得益於建築業的蓬勃發展以及自動化技術的廣泛應用。從製造業到物流業等各行各業對自動化的大力推動,使美國成為協作機器人的主要市場。數位化趨勢的不斷成長以及對更智慧、更靈活的製造系統的需求將在未來幾年繼續推動對協作機器人的需求。

全球協作製造機器人產業的知名公司包括 ABB 機器人、AUBO 機器人、斗山機器人、FANUC 公司、庫卡機器人、Rethink 機器人、史陶比爾機器人、Techman 機器人、優傲機器人和安川馬達。在協作製造機器人市場,各公司都致力於透過創新和擴張來提升其市場地位。關鍵策略包括持續的產品開發、收購和合作。優傲機器人和 ABB 機器人等公司正在大力投資研發,以推出可提高效率和靈活性的新功能。安川電機和庫卡機器人等其他公司則透過開發具有更大有效載荷能力和更強整合能力的協作機器人來增強其產品供應。他們還透過與行業領導者進行策略合作和擴大分銷網路來提高市場滲透率,尤其是在自動化應用正在加速發展的新興市場。

目錄

第1章:方法論與範圍

第2章:執行摘要

第3章:行業洞察

  • 產業生態系統分析
    • 影響價值鏈的因素
    • 利潤率分析
    • 中斷
    • 未來展望
    • 製造商
    • 經銷商
    • 零售商
  • 川普政府關稅分析
    • 對貿易的影響
      • 貿易量中斷
      • 報復措施
  • 對產業的影響
    • 供給側影響(原料)
    • 主要材料價格波動
    • 供應鏈重組
    • 生產成本影響
    • 需求面影響(售價)
    • 價格傳導至終端市場
    • 市佔率動態
    • 消費者反應模式
    • 受影響的主要公司
  • 策略產業反應
    • 供應鏈重組
    • 定價和產品策略
    • 政策參與
  • 展望與未來考慮
  • 策略產業反應
    • 供應鏈重組
    • 定價和產品策略
    • 政策參與
  • 展望與未來考慮
  • 衝擊力
    • 成長動力
      • 製造業對自動化的需求不斷成長
      • 勞動成本上升和技術工人短缺
      • 提高投資報酬率和營運靈活性
      • 政府支持措施和工業 4.0 的採用
    • 產業陷阱與挑戰
      • 初始整合和部署成本高
      • 安全問題和監管合規標準
  • 技術與創新格局
  • 消費者購買行為分析
    • 人口趨勢
    • 影響購買決策的因素
    • 消費者產品採用
    • 首選配銷通路
  • 成長潛力分析
  • 監管格局
  • 定價分析
  • 波特的分析
  • PESTEL分析

第4章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第5章:市場估計與預測:依酬載,2021 年至 2034 年

  • 主要趨勢
  • 最多 5 公斤
  • 5-10公斤
  • 10-25公斤
  • 超過25公斤

第6章:市場估計與預測:依組件,2021 年至 2034 年

  • 主要趨勢
  • 硬體
  • 軟體

第7章:市場估計與預測:依移動性,2021 年至 2034 年

  • 主要趨勢
  • 固定式
  • 移動的

第8章:市場估計與預測:依最終用途,2021 年至 2034 年

  • 主要趨勢
  • 大型企業
  • 中小企業(SME)

第9章:市場估計與預測:按應用,2021 年至 2034 年

  • 主要趨勢
  • 物料處理
  • 組裝和拆卸
  • 焊接和釬焊
  • 分配
  • 加工
  • 其他

第10章:市場估計與預測:按地區,2021 年至 2034 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • MEA
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第 11 章:公司簡介

  • ABB Robotics
  • AUBO Robotics
  • Doosan Robotics
  • FANUC Corporation
  • KUKA Robotics
  • Rethink Robotics
  • Staubli Robotics
  • Techman Robot
  • Universal Robots
  • Yaskawa Electric Corporation
簡介目錄
Product Code: 13728

The Global Collaborative Manufacturing Robots Market was valued at USD 121.7 million in 2024 and is estimated to grow at a CAGR of 10.5% to reach USD 329.1 million by 2034, driven by the rise in automation across various industries, which enhances both productivity and safety by working alongside humans. This shift is driven by the increasing need for flexible, scalable automation solutions, especially among small and medium-sized enterprises (SMEs). Small and medium-sized enterprises (SMEs) are increasingly adopting cost-effective programmable collaborative robots (cobots) as a means of automation without requiring a significant upfront investment. With their limited resources, SME find these robots an ideal solution to enhance productivity while keeping capital expenditure low.

Collaborative Manufacturing Robots Market - IMG1

The ability of cobots to seamlessly integrate into existing workflows and their flexibility in handling various tasks make them an attractive option for smaller businesses looking to stay competitive. These robots can handle tasks that are repetitive, monotonous, or physically taxing, freeing up human workers to concentrate on more complex, creative, or decision-making responsibilities. By automating routine functions, cobots help improve operational workflows, reduce human error, and ensure consistent output. This shift not only enhances the speed and precision of tasks but also reduces the physical strain on employees, lowering the risk of workplace injuries and fatigue. As a result, businesses can maintain higher productivity levels with a more engaged workforce.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$121.7 Million
Forecast Value$329.1 Million
CAGR10.5%

The market is segmented by payload capacity into categories such as up to 5 kg, 5-10 kg, 10-25 kg, and more than 25 kg. In 2024, the up-to-5 kg segment generated USD 46.4 million and is expected to grow at a CAGR of 9.6% by 2034. Cobots in this category are favored in industries requiring precision, such as electronics and pharmaceuticals, where lightweight tasks like assembly, pick-and-place, and testing are common. Their compact design also makes them ideal for space-constrained environments, offering flexible automation solutions. The ability of cobots to handle smaller payloads with precision makes them invaluable to SME seeking cost-effective and reliable automation options.

The material handling segment held a 41.5% share in 2024, and it is expected to reach USD 144.8 million by 2034, driven by the growing importance of efficiency in logistics and warehousing. Cobots have proven to be highly effective in material handling, performing tasks such as sorting, packing, palletizing, and transporting goods with speed and accuracy. As industries strive to optimize their supply chains and reduce labor costs, cobots are seen as a key tool in automating these critical functions. The demand for cobots in material handling is particularly strong in industries where precision, speed, and the ability to operate near human workers are crucial.

United States Collaborative Manufacturing Robots Market generated USD 27.3 million in 2024 and is expected to grow at a CAGR of 11% through 2034, driven by the robust construction industry, along with the widespread adoption of automation technologies. The strong push toward automation across a variety of industries, from manufacturing to logistics and beyond, has made the U.S. a prime market for collaborative robots. The increasing trend of digitalization and the need for smarter, more flexible manufacturing systems will continue to drive demand for cobots in the years ahead.

Prominent companies in the Global Collaborative Manufacturing Robots Industry include ABB Robotics, AUBO Robotics, Doosan Robotics, FANUC Corporation, KUKA Robotics, Rethink Robotics, Staubli Robotics, Techman Robot, Universal Robots, and Yaskawa Electric Corporation. In the collaborative manufacturing robots market, companies are focusing on enhancing their market position through innovation and expansion. Key strategies include continuous product development, acquisitions, and partnerships. Firms like Universal Robots and ABB Robotics are investing heavily in R&D to introduce new features that improve efficiency and flexibility. Others, such as Yaskawa Electric Corporation and KUKA Robotics, are enhancing their product offerings by developing cobots with increased payload capacities and greater integration capabilities. Strategic collaborations with industry leaders and expanding distribution networks are also being used to increase market penetration, especially in emerging markets where automation adoption is accelerating.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definition
  • 1.2 Base estimates & calculations
  • 1.3 Forecast parameters
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2018 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Factors affecting the value chain
    • 3.1.2 Profit margin analysis
    • 3.1.3 Disruptions
    • 3.1.4 Future outlook
    • 3.1.5 Manufacturers
    • 3.1.6 Distributors
    • 3.1.7 Retailers
  • 3.2 Trump administration tariffs analysis
    • 3.2.1 Impact on trade
      • 3.2.1.1 Trade volume disruptions
      • 3.2.1.2 Retaliatory measures
  • 3.3 Impact on the industry
    • 3.3.1 Supply-side impact (raw materials)
    • 3.3.2 Price volatility in key materials
    • 3.3.3 Supply chain restructuring
    • 3.3.4 Production cost implications
    • 3.3.5 Demand-side impact (selling price)
    • 3.3.6 Price transmission to end markets
    • 3.3.7 Market share dynamics
    • 3.3.8 Consumer response patterns
    • 3.3.9 Key companies impacted
  • 3.4 Strategic industry responses
    • 3.4.1 Supply chain reconfiguration
    • 3.4.2 Pricing and product strategies
    • 3.4.3 Policy engagement
  • 3.5 Outlook and future considerations
  • 3.6 Strategic industry responses
    • 3.6.1 Supply chain reconfiguration
    • 3.6.2 Pricing and product strategies
    • 3.6.3 Policy engagement
  • 3.7 Outlook and future considerations
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Rising demand for automation in manufacturing
      • 3.8.1.2 Increasing labor costs and skilled labor shortages
      • 3.8.1.3 Enhanced ROI and flexibility in operations
      • 3.8.1.4 Supportive government initiatives and Industry 4.0 adoption
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High initial integration and deployment costs
      • 3.8.2.2 Safety concerns and regulatory compliance standards
  • 3.9 Technology & innovation landscape
  • 3.10 Consumer buying behavior analysis
    • 3.10.1 Demographic trends
    • 3.10.2 Factors affecting buying decision
    • 3.10.3 Consumer product adoption
    • 3.10.4 Preferred distribution channel
  • 3.11 Growth potential analysis
  • 3.12 Regulatory landscape
  • 3.13 Pricing analysis
  • 3.14 Porter's analysis
  • 3.15 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Payload, 2021 – 2034, (USD Billion)(Thousand Units)

  • 5.1 Key trends
  • 5.2 Up to 5 kg
  • 5.3 5-10 kg
  • 5.4 10-25 kg
  • 5.5 More than 25 kg

Chapter 6 Market Estimates & Forecast, By Component, 2021 – 2034, (USD Billion)(Thousand Units)

  • 6.1 Key trends
  • 6.2 Hardware
  • 6.3 Software

Chapter 7 Market Estimates & Forecast, By Mobility, 2021 – 2034, (USD Billion)(Thousand Units)

  • 7.1 Key trends
  • 7.2 Stationary
  • 7.3 Mobile

Chapter 8 Market Estimates & Forecast, By End Use, 2021 – 2034, (USD Billion)(Thousand Units)

  • 8.1 Key trends
  • 8.2 Large enterprises
  • 8.3 Small & medium enterprises (SME)

Chapter 9 Market Estimates & Forecast, By Application, 2021 – 2034, (USD Billion)(Thousand Units)

  • 9.1 Key trends
  • 9.2 Material handling
  • 9.3 Assembling & dissembling
  • 9.4 Welding & soldering
  • 9.5 Dispensing
  • 9.6 Processing
  • 9.7 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 – 2034, (USD Billion)(Thousand Units)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 Australia
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
  • 10.6 MEA
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 South Africa

Chapter 11 Company Profiles (Business Overview, Financial Data, Product Landscape, Strategic Outlook, SWOT Analysis)

  • 11.1 ABB Robotics
  • 11.2 AUBO Robotics
  • 11.3 Doosan Robotics
  • 11.4 FANUC Corporation
  • 11.5 KUKA Robotics
  • 11.6 Rethink Robotics
  • 11.7 Staubli Robotics
  • 11.8 Techman Robot
  • 11.9 Universal Robots
  • 11.10 Yaskawa Electric Corporation