首頁 > 市場調查報告書 > 工業機械

自動化

市場調查報告書

商品編碼

2007950

人機協作市場預測至2034年：按組件、機器人類型、應用、最終用戶和地區分類的全球分析

Human-Robot Collaboration Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Robot Type, Application, End User and By Geography

出版日期: 2026年04月06日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球人機協作市場預計將在 2026 年達到 8 億美元，並在預測期內以 32.0% 的複合年成長率成長，到 2034 年達到 75 億美元。

人機協作是指人類與機器人在同一工作空間內協同運作，以提高效率、安全性和適應性。這些被稱為「協作機器人」的機器人，整合了智慧感測系統、機器學習和高響應控制能力，無需嚴格隔離即可實現安全互動。這種協同作用使人類能夠專注於分析、創新和決策任務，而機器人則負責處理單調、潛在危險或高精度的工作。這種模式正在製造業、醫療保健和物流等行業迅速普及，以提高效率、減少錯誤並提升生產力。這正在推動技術進步，並在全球各種工業和服務環境中建立人類技能與自動化系統之間的和諧關係。

據MDPI稱，人機協作（HRC）系統在智慧製造環境中的應用日益廣泛，協作機器人（cobot）能夠實現靈活的生產線並減少停機時間。該綜述強調，HRC整合是工業4.0的基石，在汽車和電子產業尤為重要。

職場對自動化的需求日益成長

各行各業對自動化的日益依賴正顯著推動人機協作市場的發展。企業正在部署協作機器人來最佳化流程、減少人力並提高生產力。隨著競爭壓力的加劇，企業正在尋求高效且擴充性的解決方案，而協作機器人恰好滿足了這項需求。其強大的適應性使其能夠無縫整合到現有系統中，同時也能輔助員工完成單調乏味且勞力密集的任務。這種向自動化的轉變能夠提高生產力、減少錯誤並確保效能的穩定性，從而使企業能夠在滿足不斷成長的市場需求的同時，保持高效的營運和高品質的成果。

高昂的初始投資和實施成本

協作機器人部署的高昂初始成本是其市場普及的主要障礙。雖然協作機器人比傳統機器人相對更經濟，但安裝、客製化、整合和員工培訓等相關成本仍然相當可觀。對於許多中小企業而言，這些財務需求為預算分配帶來了挑戰。此外，調整現有營運流程以部署協作機器人通常需要流程變更和基礎設施改善。這些成本相關的障礙會減緩協作機器人的普及速度，尤其是在價格敏感型產業，從而限制人機協作技術在不同商業環境中的廣泛應用。

電子商務和物流自動化的發展

快速發展的電子商務和物流行業為人機協作提供了巨大的機會。協作機器人正擴大部署在倉庫中，以更有效率地處理分類、包裝和庫存管理等任務。隨著線上零售的擴張，企業需要擴充性的系統來應對不斷成長的訂單需求。協作機器人提供高度適應性和高效的解決方案，能夠簡化供應鏈流程，同時最大限度地減少對人工的依賴。其快速部署和柔軟性的運作方式使其非常適合快速變化的環境。這種不斷成長的需求將推動協作機器人的應用，從而提高物流和配送網路的生產力，並最終改善客戶體驗。

經濟不確定性和預算限制

不穩定的經濟情勢和財政限制對人機協作市場構成重大威脅。經濟放緩期間，企業往往會削減開支，推遲對自動化和機器人技術的投資。尤其是在預算緊張的情況下，協作機器人可能被視為一種選擇而非必需品。中小企業受到的衝擊尤其嚴重，因為其有限的財務資源限制了它們採用這些技術的能力。投資減少可能會減緩創新和市場成長，因此經濟波動成為影響人機協作領域技術應用速度和規模的關鍵因素。

新冠疫情的影響：

新冠疫情在推動人機協作市場擴張方面發揮了決定性作用，加速了協作機器人在各行各業的普及應用。社交距離、勞動力短缺以及日益成長的安全擔憂等限制措施，促使企業轉向協作機器人以維持營運。醫療保健、製造業和物流等行業紛紛部署機器人，用於消毒、物料搬運和遠端支援等活動。疫情凸顯了自動化在減少對人力的依賴和提高營運韌性方面的價值。因此，對機器人技術的投資增加，這將促進未來的市場擴張和普及。

在預測期內，硬體領域預計將佔據最大佔有率。

預計在預測期內，硬體領域將佔據最大的市場佔有率，因為它在透過機器人、感測器、執行器和其他實體組件支援協作系統中發揮著至關重要的作用。這為安全、準確和可靠的人機互動提供了必要的基礎設施。各公司持續專注於投資機械臂、末端執行器和其他硬體解決方案，以提高效率並最佳化工作流程。硬體技術的不斷進步正在提升協作機器人的性能和適應性，加速其在製造業、醫療保健和物流等行業的應用，從而鞏固硬體在人機協作市場中的重要地位。

在預測期內，醫療產業預計將呈現最高的複合年成長率。

在預測期內，醫療產業預計將呈現最高的成長率，這主要得益於協作機器人在外科手術、復健、診斷和病患管理等領域的日益普及。醫院和診所正在利用協作機器人來提高精確度、減少人力投入並簡化工作流程。人口老化、勞動力短缺以及對更安全、更少接觸式操作的需求等因素正在加速協作機器人的應用。醫療機器人技術的進步和不斷成長的投資進一步推動了這一趨勢。因此，醫療保健產業已成為成長率主導的產業，並正在成為人機協作應用領域成長最快的領域。

市佔率最大的地區：

在預測期內，北美預計將保持最大的市場佔有率。這主要得益於該地區先進的工業基礎、對新技術的快速應用以及在機器人研發領域的大量投資。協作機器人正被廣泛應用於製造業、醫療保健和物流等產業，以提高效率和生產力。有利的政府政策、對高科技的濃厚興趣以及充足的熟練勞動力進一步推動了市場成長。機器人和人工智慧領域的持續創新，以及各行業對自動化日益成長的需求，正在進一步鞏固該地區的市場主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於工業化進程的加速、製造業的擴張以及自動化技術的日益普及。中國、日本和韓國等主要經濟體正在大力投資協作機器人（cobot），以提高效率和精度並緩解勞動力短缺問題。汽車、電子和醫療產業的強勁需求正在推動協作機器人的進一步發展。政府支持、技術創新和成本優勢正在加速協作機器人的大規模部署。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域細分
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第10章戰略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第11章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第12章：公司簡介

ABB
KUKA
FANUC
Universal Robots
Yaskawa Electric
Rockwell Automation
Mitsubishi Electric
Omron
Siemens
Teradyne
Epson Robots
Denso Robotics
Cognex
Kawasaki Heavy Industries
Techman Robot
Doosan Robotics
Rethink Robotics
Precise Automation

簡介目錄圖表

Product Code: SMRC34814

According to Stratistics MRC, the Global Human-Robot Collaboration Market is accounted for $0.8 billion in 2026 and is expected to reach $7.5 billion by 2034 growing at a CAGR of 32.0% during the forecast period. Human-robot collaboration involves humans and robots operating jointly within the same workspace to boost efficiency, safety, and adaptability. Known as cobots, these robots incorporate intelligent sensing systems, machine learning, and responsive controls, enabling safe interaction without strict separation. Such synergy allows people to concentrate on analytical, innovative, and judgment-oriented responsibilities, while robots perform monotonous, risky, or highly accurate tasks. Sectors including manufacturing, healthcare, and logistics are rapidly embracing this model to streamline operations, minimize mistakes, and enhance productivity, ultimately driving technological progress and establishing a harmonious relationship between human skills and automated systems in diverse industrial and service environments worldwide.

According to MDPI, HRC systems are increasingly deployed in smart manufacturing environments, with collaborative robots (cobots) enabling flexible production lines and reducing downtime. The review emphasizes that integration of HRC is a cornerstone of Industry 4.0, particularly in automotive and electronics sectors.

Market Dynamics:

Driver:

Rising demand for workplace automation

Increasing reliance on automation in various industries significantly fuels the human-robot collaboration market. Companies are deploying cobots to optimize processes, cut down human labor, and improve productivity levels. With rising competitive pressures, businesses seek efficient and scalable solutions, and collaborative robots fit this need effectively. Their adaptability allows seamless incorporation into current systems while supporting employees in tedious and labor-intensive roles. This movement toward automation enhances production capacity, reduces mistakes, and ensures consistent performance, helping organizations meet growing market demands while maintaining high operational efficiency and quality outcomes.

Restraint:

High initial investment and integration costs

Significant initial expenses associated with collaborative robot adoption act as a major limitation in the market. While cobots are relatively economical compared to conventional robots, costs tied to installation, customization, integration, and workforce training can still be considerable. For many SMEs, these financial requirements pose challenges in budget allocation. Moreover, adapting existing operations to accommodate cobots often involves process modifications and infrastructure improvements. Such cost-related hurdles can delay implementation, particularly in price-sensitive industries, thereby restricting broader adoption of human-robot collaboration technologies across multiple business environments.

Opportunity:

Growth in e-commerce and logistics automation

The booming e-commerce and logistics sectors present major opportunities for human-robot collaboration. Collaborative robots are increasingly deployed in warehouses to handle activities such as sorting, packaging, and inventory tracking with greater efficiency. As online retail expands, businesses need scalable systems to manage growing order demands. Cobots provide adaptable and efficient solutions that streamline supply chain processes while minimizing reliance on manual labor. Their quick deployment and operational flexibility make them suitable for fast-paced environments. This growing demand is likely to boost adoption, improving productivity and enhancing overall customer experience in logistics and distribution networks.

Threat:

Economic uncertainty and budget constraints

Unstable economic conditions and financial limitations pose a considerable threat to the human-robot collaboration market. In times of economic slowdown, companies tend to cut spending, postponing investments in automation and robotics. Collaborative robots may be viewed as optional rather than essential, especially when budgets are tight. SMEs are particularly affected, as limited financial resources restrict their ability to implement such technologies. This decline in investment can slow innovation and market growth, making economic fluctuations a key factor that influences the pace and scale of adoption in the human-robot collaboration sector.

Covid-19 Impact:

The COVID-19 outbreak played a crucial role in boosting the human-robot collaboration market by speeding up the use of collaborative robots across multiple sectors. Due to restrictions like social distancing, workforce limitations, and increased focus on safety, businesses turned to cobots to sustain operations. Sectors including healthcare, manufacturing, and logistics adopted robots for activities such as sanitization, handling goods, and enabling remote support. The pandemic emphasized the value of automation in minimizing reliance on human labour and improving operational resilience. Consequently, there was a rise in investments in robotics, strengthening future market expansion and adoption.

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 its critical role in supporting collaborative systems through robots, sensors, actuators, and other physical components. It provides the essential infrastructure for safe, precise, and reliable interaction between humans and machines. Businesses continue to focus on investing in robotic arms, end-effectors, and other hardware solutions to improve efficiency and workflow optimization. Ongoing advancements in hardware technology enhance cobot performance and adaptability, promoting wider adoption across industries like manufacturing, healthcare, and logistics, solidifying hardware as the leading segment in the human-robot collaboration market.

The healthcare industry segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare industry segment is predicted to witness the highest growth rate, driven by the increasing use of cobots in surgeries, rehabilitation, diagnostics, and patient management. Hospitals and clinics are leveraging collaborative robots to enhance accuracy, reduce labor demands, and improve workflow efficiency. Factors such as aging populations, workforce shortages, and the need for safer, minimal-contact procedures have accelerated adoption. Advances in medical robotics technology and rising investments further support this trend. Consequently, healthcare is the leading industry in terms of growth rate, emerging as the most rapidly expanding application area for human-robot collaboration.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, attributed to its advanced industrial base, rapid adoption of new technologies, and significant investment in robotics research and development. Collaborative robots are widely implemented across manufacturing, healthcare, and logistics sectors to improve efficiency and productivity. Favourable government regulations, high technology awareness, and access to skilled workforce further support market growth. Ongoing innovation in robotics and artificial intelligence, along with increasing automation needs across industries, continues to strengthen the region's position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to accelerated industrialization, expanding manufacturing sectors, and increased adoption of automation technologies. Leading economies, including China, Japan, and South Korea, are investing significantly in cobots to boost efficiency, enhance accuracy, and mitigate workforce shortages. Strong demand from automotive, electronics, and healthcare sectors drives further expansion. Government support, technological innovations, and cost advantages promote large-scale implementation of collaborative robots.

Key players in the market

Some of the key players in Human-Robot Collaboration Market include ABB, KUKA, FANUC, Universal Robots, Yaskawa Electric, Rockwell Automation, Mitsubishi Electric, Omron, Siemens, Teradyne, Epson Robots, Denso Robotics, Cognex, Kawasaki Heavy Industries, Techman Robot, Doosan Robotics, Rethink Robotics and Precise Automation.

Key Developments:

In December 2025, ABB and HDF Energy have signed a joint development agreement (JDA) to co-develop a high-power, megawatt-class hydrogen fuel cell system designed for use in marine vessels. The project targets use of the system on various vessel types, including large seagoing ships such as container feeder vessels and liquefied hydrogen carriers.

In December 2025, Mitsubishi Electric Corporation announced that it has invested in and signed a strategic alliance agreement with Tulip Interfaces, Inc., a Massachusetts, USA-based leader no-code platforms for system operations without programming to support manufacturing digitalization. Tulip Interfaces is also an expert in introducing manufacturing-targeted microservices, which divide large-scale systems into small, independent services to enable flexible development and operations.

In November 2025, Rockwell Automation and SLB announced that, following a strategic review, both companies have agreed to pursue an orderly dissolution of their Sensia joint venture. Under the agreement, Rockwell Automation will assume one hundred percent ownership of the Process Automation Business that it contributed to the joint venture, while SLB will fully regain ownership of its contributed assets, including Lift Control and Measurements.

Components Covered:

Hardware
Software
Services

Robot Types Covered:

Collaborative Robots
Humanoid Robots
Service Robots with HRC Capabilities

Applications Covered:

Manufacturing
Healthcare Applications
Logistics & Warehousing
Retail & Customer Service

End Users Covered:

Automotive
Electronics
Food & Beverages
Healthcare Industry
Construction
Agriculture
Other End Users

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Human-Robot Collaboration Market, By Component

5.1 Hardware
5.2 Software
5.3 Services

6 Global Human-Robot Collaboration Market, By Robot Type

6.1 Collaborative Robots
6.2 Humanoid Robots
6.3 Service Robots with HRC Capabilities

7 Global Human-Robot Collaboration Market, By Application

7.1 Manufacturing
7.2 Healthcare Applications
7.3 Logistics & Warehousing
7.4 Retail & Customer Service

8 Global Human-Robot Collaboration Market, By End User

8.1 Automotive
8.2 Electronics
8.3 Food & Beverages
8.4 Healthcare Industry
8.5 Construction
8.6 Agriculture
8.7 Other End Users

9 Global Human-Robot Collaboration Market, By Geography

9.1 North America
- 9.1.1 United States
- 9.1.2 Canada
- 9.1.3 Mexico
9.2 Europe
- 9.2.1 United Kingdom
- 9.2.2 Germany
- 9.2.3 France
- 9.2.4 Italy
- 9.2.5 Spain
- 9.2.6 Netherlands
- 9.2.7 Belgium
- 9.2.8 Sweden
- 9.2.9 Switzerland
- 9.2.10 Poland
- 9.2.11 Rest of Europe
9.3 Asia Pacific
- 9.3.1 China
- 9.3.2 Japan
- 9.3.3 India
- 9.3.4 South Korea
- 9.3.5 Australia
- 9.3.6 Indonesia
- 9.3.7 Thailand
- 9.3.8 Malaysia
- 9.3.9 Singapore
- 9.3.10 Vietnam
- 9.3.11 Rest of Asia Pacific
9.4 South America
- 9.4.1 Brazil
- 9.4.2 Argentina
- 9.4.3 Colombia
- 9.4.4 Chile
- 9.4.5 Peru
- 9.4.6 Rest of South America
9.5 Rest of the World (RoW)
- 9.5.1 Middle East
  - 9.5.1.1 Saudi Arabia
  - 9.5.1.2 United Arab Emirates
  - 9.5.1.3 Qatar
  - 9.5.1.4 Israel
  - 9.5.1.5 Rest of Middle East
- 9.5.2 Africa
  - 9.5.2.1 South Africa
  - 9.5.2.2 Egypt
  - 9.5.2.3 Morocco
  - 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

10.1 Industry Value Network and Supply Chain Assessment
10.2 White-Space and Opportunity Mapping
10.3 Product Evolution and Market Life Cycle Analysis
10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

11.1 Mergers and Acquisitions
11.2 Partnerships, Alliances, and Joint Ventures
11.3 New Product Launches and Certifications
11.4 Capacity Expansion and Investments
11.5 Other Strategic Initiatives

12 Company Profiles

12.1 ABB
12.2 KUKA
12.3 FANUC
12.4 Universal Robots
12.5 Yaskawa Electric
12.6 Rockwell Automation
12.7 Mitsubishi Electric
12.8 Omron
12.9 Siemens
12.10 Teradyne
12.11 Epson Robots
12.12 Denso Robotics
12.13 Cognex
12.14 Kawasaki Heavy Industries
12.15 Techman Robot
12.16 Doosan Robotics
12.17 Rethink Robotics
12.18 Precise Automation

簡介目錄圖表

List of Tables

Table 1 Global Human-Robot Collaboration Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Human-Robot Collaboration Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global Human-Robot Collaboration Market Outlook, By Hardware (2023-2034) ($MN)
Table 4 Global Human-Robot Collaboration Market Outlook, By Software (2023-2034) ($MN)
Table 5 Global Human-Robot Collaboration Market Outlook, By Services (2023-2034) ($MN)
Table 6 Global Human-Robot Collaboration Market Outlook, By Robot Type (2023-2034) ($MN)
Table 7 Global Human-Robot Collaboration Market Outlook, By Collaborative Robots (2023-2034) ($MN)
Table 8 Global Human-Robot Collaboration Market Outlook, By Humanoid Robots (2023-2034) ($MN)
Table 9 Global Human-Robot Collaboration Market Outlook, By Service Robots with HRC Capabilities (2023-2034) ($MN)
Table 10 Global Human-Robot Collaboration Market Outlook, By Application (2023-2034) ($MN)
Table 11 Global Human-Robot Collaboration Market Outlook, By Manufacturing (2023-2034) ($MN)
Table 12 Global Human-Robot Collaboration Market Outlook, By Healthcare Applications (2023-2034) ($MN)
Table 13 Global Human-Robot Collaboration Market Outlook, By Logistics & Warehousing (2023-2034) ($MN)
Table 14 Global Human-Robot Collaboration Market Outlook, By Retail & Customer Service (2023-2034) ($MN)
Table 15 Global Human-Robot Collaboration Market Outlook, By End User (2023-2034) ($MN)
Table 16 Global Human-Robot Collaboration Market Outlook, By Automotive (2023-2034) ($MN)
Table 17 Global Human-Robot Collaboration Market Outlook, By Electronics (2023-2034) ($MN)
Table 18 Global Human-Robot Collaboration Market Outlook, By Food & Beverages (2023-2034) ($MN)
Table 19 Global Human-Robot Collaboration Market Outlook, By Healthcare Industry (2023-2034) ($MN)
Table 20 Global Human-Robot Collaboration Market Outlook, By Construction (2023-2034) ($MN)
Table 21 Global Human-Robot Collaboration Market Outlook, By Agriculture (2023-2034) ($MN)
Table 22 Global Human-Robot Collaboration Market Outlook, By Other End Users (2023-2034) ($MN)