查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
2007950

人机协作市场预测至2034年：按组件、机器人类型、应用、最终用户和地区分類的全球分析

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: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人机协作市场预计将在 2026 年达到 8 亿美元，并在预测期内以 32.0% 的复合年增长率增长，到 2034 年达到 75 亿美元。

人机协作是指人类与机器人在同一工作空间内协同运作，以提高效率、安全性和适应性。这些被称为「协作机器人」的机器人，整合了智慧感测系统、机器学习和高响应控制能力，无需严格隔离即可实现安全互动。这种协同作用使人类能够专注于分析、创新和决策任务，而机器人则负责处理单调、潜在危险或高精度的工作。这种模式正在製造业、医疗保健和物流等行业迅速普及，以提高效率、减少错误并提升生产力。这正在推动技术进步，并在全球各种工业和服务环境中建立人类技能与自动化系统之间的和谐关係。

据MDPI称，人机协作（HRC）系统在智慧製造环境中的应用日益广泛，协作机器人（cobot）能够实现灵活的生产线并减少停机时间。该综述强调，HRC整合是工业4.0的基石，在汽车和电子产业尤为重要。

职场对自动化的需求日益增长

各行各业对自动化的日益依赖正显着推动人机协作市场的发展。企业正在部署协作机器人来优化流程、减少人力并提高生产力。随着竞争压力的加剧，企业正在寻求高效且扩充性的解决方案，而协作机器人恰好满足了这项需求。其强大的适应性使其能够无缝整合到现有系统中，同时也能辅助员工完成单调乏味且劳力密集的任务。这种向自动化的转变能够提高生产力、减少错误并确保效能的稳定性，从而使企业能够在满足不断增长的市场需求的同时，保持高效的营运和高品质的成果。

高昂的初始投资和实施成本

协作机器人部署的高昂初始成本是其市场普及的主要障碍。虽然协作机器人比传统机器人相对更经济，但安装、客製化、整合和员工培训等相关成本仍然相当可观。对于许多中小企业而言，这些财务需求为预算分配带来了挑战。此外，调整现有营运流程以部署协作机器人通常需要流程变更和基础设施改善。这些成本相关的障碍会减缓协作机器人的普及速度，尤其是在价格敏感型产业，从而限制人机协作技术在不同商业环境中的广泛应用。

电子商务和物流自动化的发展

快速发展的电子商务和物流行业为人机协作提供了巨大的机会。协作机器人正越来越多地部署在仓库中，以更有效率地处理分类、包装和库存管理等任务。随着线上零售的扩张，企业需要扩充性的系统来应对不断增长的订单需求。协作机器人提供高度适应性和高效的解决方案，能够简化供应链流程，同时最大限度地减少对人工的依赖。其快速部署和柔软性的运作方式使其非常适合快速变化的环境。这种不断增长的需求将推动协作机器人的应用，从而提高物流和配送网路的生产力，并最终改善客户体验。

经济不确定性和预算限制

不稳定的经济情势和财政限制对人机协作市场构成重大威胁。经济放缓期间，企业往往会削减开支，推迟对自动化和机器人技术的投资。尤其是在预算紧张的情况下，协作机器人可能被视为一种选择而非必需品。中小企业受到的衝击尤其严重，因为其有限的财务资源限制了它们采用这些技术的能力。投资减少可能会减缓创新和市场成长，因此经济波动成为影响人机协作领域技术应用速度和规模的关键因素。

新冠疫情的影响：

新冠疫情在推动人机协作市场扩张方面发挥了决定性作用，加速了协作机器人在各行各业的普及应用。社交距离、劳动力短缺以及日益增长的安全担忧等限制措施，促使企业转向协作机器人以维持营运。医疗保健、製造业和物流等行业纷纷部署机器人，用于消毒、物料搬运和远端支援等活动。疫情凸显了自动化在减少对人力的依赖和提高营运韧性方面的价值。因此，对机器人技术的投资增加，这将促进未来的市场扩张和普及。

在预测期内，硬体领域预计将占据最大份额。

预计在预测期内，硬体领域将占据最大的市场份额，因为它在透过机器人、感测器、执行器和其他实体组件支援协作系统中发挥着至关重要的作用。这为安全、准确和可靠的人机互动提供了必要的基础设施。各公司持续专注于投资机械臂、末端执行器和其他硬体解决方案，以提高效率并优化工作流程。硬体技术的不断进步正在提升协作机器人的性能和适应性，加速其在製造业、医疗保健和物流等行业的应用，从而巩固硬体在人机协作市场中的重要地位。

在预测期内，医疗产业预计将呈现最高的复合年增长率。

在预测期内，医疗产业预计将呈现最高的成长率，这主要得益于协作机器人在外科手术、復健、诊断和病患管理等领域的日益普及。医院和诊所正在利用协作机器人来提高精确度、减少人力投入并简化工作流程。人口老化、劳动力短缺以及对更安全、更少接触式操作的需求等因素正在加速协作机器人的应用。医疗机器人技术的进步和不断增长的投资进一步推动了这一趋势。因此，医疗保健产业已成为成长率主导的产业，并正在成为人机协作应用领域成长最快的领域。

市占率最大的地区：

在预测期内，北美预计将保持最大的市场份额。这主要得益于该地区先进的工业基础、对新技术的快速应用以及在机器人研发领域的大量投资。协作机器人正被广泛应用于製造业、医疗保健和物流等产业，以提高效率和生产力。有利的政府政策、对高科技的浓厚兴趣以及充足的熟练劳动力进一步推动了市场成长。机器人和人工智慧领域的持续创新，以及各行业对自动化日益增长的需求，正在进一步巩固该地区的市场主导地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于工业化进程的加速、製造业的扩张以及自动化技术的日益普及。中国、日本和韩国等主要经济体正在大力投资协作机器人（cobot），以提高效率和精度并缓解劳动力短缺问题。汽车、电子和医疗产业的强劲需求正在推动协作机器人的进一步发展。政府支持、技术创新和成本优势正在加速协作机器人的大规模部署。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球人机协作市场：依组件划分

  • 硬体
  • 软体
  • 服务

第六章：全球人机协作市场：依机器人类型划分

  • 协作机器人
  • 人形机器人
  • 具备HRC功能的服务机器人

第七章：全球人机协作市场：依应用领域划分

  • 製造业
  • 在医疗领域的应用
  • 物流/仓储业
  • 零售和客户服务

第八章：全球人机协作市场：依最终用户划分

  • 车
  • 电子设备
  • 食品/饮料
  • 医疗保健产业
  • 建造
  • 农业
  • 其他最终用户

第九章：全球人机协作市场：依地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十章 战略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十一章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十二章：公司简介

  • 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
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

Table of Contents

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

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)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.