协作机器人市场按类型、负载容量、安装类型、应用、最终用户行业和销售管道- 全球预测，2025-2030 年

预计协作机器人市场规模到 2024 年将达到 24.6 亿美元，到 2025 年将达到 29 亿美元，到 2030 年将达到 69 亿美元，复合年增长率为 18.70%。

主要市场统计数据
基准年2024年	24.6亿美元
预计2025年	29亿美元
预测年份 2030	69亿美元
复合年增长率（%）	18.70%

引领协作机器人的崛起：全面介绍机器人在现代自动化系统中的作用、演变与策略重要性

自从可程式自动化引入製造业以来，协作机器人已从实验原型发展成为工厂车间的关键伙伴。这些先进的系统融合了智慧感测、自适应运动控制和直觉的介面，能够与人类工人安全无阻地协同工作。为了满足日益增长的灵活生产需求和工厂回流倡议，各行各业的製造商都在采用这些机器来提高产量、改善品质并确保工人安全。

探索协作机器人为工业环境带来的革命性变化及其对营运效率的持久影响

协作机器人彻底改变了製造模式，以能够快速切换的组装单元取代了曾经以固定笼式自动化为主的组装线。这种转变促进了一种连续生产模式，可以即时回应产品变化和订单量波动，从而减少浪费并提高整体设施效率。此外，协作解决方案的出现降低了寻求优化劳动密集型流程的中小企业的进入门槛，从而实现了自动化的普及。

评估2025年美国征收关税对协作机器人供应链和製造成本结构的附带影响

2025年，美国针对协作机器人製造中使用的关键零件和成品组件实施了一系列关税。这些措施对全球供应链产生了连锁反应，迫使整合商重新评估其供应商关係和筹资策略。结果，一些最终用户的采购成本增加，影响了计划进度和资本配置决策。

解构协作机器人市场细分，揭示类型、负载容量、实施、应用、最终用户行业和销售管道的详细见解

仔细研究协作机器人市场细分，可以发现有助于策略定位的关键模式。从系统结构来看，市场可分为以下几类：利用直接人机互动的手动引导功能；透过感测器回馈优先考虑安全性的功率和力度限制设计；确保即时关闭的安全额定和监控停止功能；以及基于接近度检测动态调整运动的速度和分离模型。每种配置都有其独特的整合要求和价值提案。

探索美洲、欧洲、中东和非洲以及亚太市场协作机器人采用的区域动态

经济、监管和文化因素驱动的区域动态在协作机器人的采用中发挥关键作用。在美洲，对近岸外包和职业安全法规的日益重视，推动了对能够提高生产力并严格遵守职业健康标准的系统的需求。这种在地化努力正在推动对国内整合设施和培训计画的投资，旨在提升现有人才库的技能。

介绍协作机器人领域的关键创新者以及推动全球技术进步和竞争的策略参与者

协作机器人领域的关键创新者正透过策略性产品开发、生态系统伙伴关係和有针对性的收购来推动市场成熟。一家领先的製造商优先考虑开放平台软体升级，允许最终用户以最低限度的客製化程度整合第三方视觉系统和末端执行器工具。另一家全球性公司则利用专有安全演算法来缩短精密组装应用的周期时间，并赢得了电子领域的大额合约。

为产业领导者提供策略建议，以优化协作机器人整合、缓解挑战并最大化营运效益

为了充分发挥协作机器人的潜力，产业领导者首先应建立一个跨职能的采用团队，汇集营​​运、工程和安全专家。这种协作管治模式可确保采用决策符合生产目标和职场安全标准。同时，组织应投资人才发展计划，包括在职培训和数位类比工具，使员工能够重新利用其技能，成为自动化领域的佼佼者。

揭示协作机器人市场分析和基于证据的洞察背后的严谨调查方法

本分析采用稳健的研究框架，结合对多个地区的自动化工程师、采购负责人和安全合规负责人的初步访谈。这些定性洞察也透过对监管文件、同行评审日誌和行业白皮书的广泛查阅进行补充，以确保全面涵盖安全标准、技术进步和市场趋势。

综合关键见解，规划协作机器人的未来发展轨迹，并为相关人员提供有益的决策指导

随着协作机器人不断重塑工业自动化，相关人员必须应对由技术创新、监管复杂性和不断变化的劳动力动态所塑造的模式。本文提出的见解重点阐述了智慧工厂架构的整合和关税措施的推出等转型变革如何影响供应链、成本状况和策略采购决策。

总之，这份全面的执行摘要为决策者提供了蓝图，利用协作机器人作为卓越营运、劳动力增强和长期成长的催化剂。

目录

第一章：前言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章市场动态

• 人工智慧视觉系统的普及将推动下一代协作机器人精确度的提高
• 数位双胞胎整合即时优化协作机器人效能和正常运作
• 轻质材料使协作机器人的部署更快、更具适应性
• 协作机器人即服务模式的出现加速了中小企业的接入
• 开发直觉的程式介面，减少协作机器人的设定时间
• 网路安全措施对于保护连网协作机器人网路变得越来越重要
• 扩展多机器人协作框架，以改善灵活的自动化工作流程
• 引入模组化臂端工具，实现协作机器人的快速重新配置
• 增强云端基础的分析集成，以优化协作机器人的性能
• 协作焊接机器人的兴起提高了工厂车间的安全性和产量

第六章 市场洞察

• 波特五力分析
• PESTEL分析

第七章 2025年美国关税的累积影响

第八章协作机器人市场（按类型）

• 手册
• 权力和武力限制
• 安全评估和监督停工
• 速度与分离

9. 协作机器人市场（依最大负载容量容量）

• 10～20kg
• 20～50kg
• 5～10kg
• 超过50公斤
• 5公斤以下

第十章协作机器人市场（依实施类型）

• 天花板安装
• 落地式
• 壁挂式

第11章协作机器人市场（按应用）

• 组装
• 分配和密封
• 检查和测试
• 机器操作
• 涂层
• 拾取和放置
• 抛光和研磨
• 螺丝拧紧
• 焊接和焊焊

第十二章 协作机器人市场（依最终用户产业）

• 车
• 电子产品
• 食品/饮料
• 医疗保健和製药
• 物流/仓储
• 金属和机械

第十三章 协作机器人市场（依销售管道）

• 线下销售
• 网上销售
  • 品牌网站
  • 电商平台

14.美洲协作机器人市场

• 美国
• 加拿大
• 墨西哥
• 巴西
• 阿根廷

15.欧洲、中东和非洲协作机器人市场

• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 阿拉伯聯合大公国
• 沙乌地阿拉伯
• 南非
• 丹麦
• 荷兰
• 卡达
• 芬兰
• 瑞典
• 奈及利亚
• 埃及
• 土耳其
• 以色列
• 挪威
• 波兰
• 瑞士

16.亚太协作机器人市场

• 中国
• 印度
• 日本
• 澳洲
• 韩国
• 印尼
• 泰国
• 菲律宾
• 马来西亚
• 新加坡
• 越南
• 台湾

第十七章竞争格局

• 2024年市场占有率分析
• 2024年FPNV定位矩阵
• 竞争分析
  • ABB Ltd.
  • DENSO WAVE INC.
  • Fanuc Corporation
  • Kawasaki Heavy Industries, Ltd.
  • Kuka AG
  • Mitsubishi Electric Corporation
  • Omron Corporation
  • Seiko Epson Corporation
  • Universal Robots A/S
  • Yaskawa Electric Corporation
  • Arcsecond Drive
  • Bosch Rexroth AG
  • Comau SpA
  • F&P Robotics AG
  • Locus Robotics Corporation
  • MRK-Systeme GmbH
  • ONExia Inc.
  • Productive Robotics, LLC
  • PROMATION INC.
  • RG Group
  • Shanghai Turin Smart Robot Co.,Ltd.
  • SMC Corporation
  • Techman Robot Inc.
  • Telefonaktiebolaget LM Ericsson
  • Shenzhen Yuejiang Technology Co., Ltd.

第十八章 研究人工智慧

第十九章 研究统计

第二十章 研究联络人

第21章 研究报导

第22章 附录

The Collaborative Robots Market was valued at USD 2.46 billion in 2024 and is projected to grow to USD 2.90 billion in 2025, with a CAGR of 18.70%, reaching USD 6.90 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024]	USD 2.46 billion
Estimated Year [2025]	USD 2.90 billion
Forecast Year [2030]	USD 6.90 billion
CAGR (%)	18.70%

Navigating the Rise of Collaborative Robots: A Comprehensive Introduction to Their Role, Evolution, and Strategic Importance in Modern Automated Systems

Since the introduction of programmable automation in manufacturing, collaborative robots have transformed from experimental prototypes into essential partners on the factory floor. These advanced systems combine intelligent sensing, adaptive motion control, and intuitive interfaces to operate safely alongside human workers without extensive physical barriers. In response to surging demand for flexible production and reshoring initiatives, manufacturers across industries have embraced these machines as a means to increase throughput, improve quality, and maintain workforce safety.

Collaborative robots are designed to bridge the gap between traditional industrial robots and manual labor by enabling rapid redeployment across tasks such as assembly, machine tending, and inspection. Their lightweight construction and built-in force sensing capabilities allow for immediate interaction, reducing cycle times and minimizing operator fatigue. Coupled with advancements in artificial intelligence and edge computing, these systems can perform complex processes with minimal programming, fostering seamless integration into existing production lines.

This introduction establishes the context for understanding the diverse forces reshaping the collaborative robotics landscape-from regulatory shifts to evolving market segmentations-and sets the stage for a comprehensive exploration of the strategic implications and growth drivers that will define the industry's future trajectory

Unveiling Groundbreaking Transformations Triggered by Collaborative Robotics in Industrial Environments and Their Enduring Influence on Operational Efficiency

Collaborative robots have catalyzed seismic transformations in manufacturing paradigms, supplanting assembly lines once dominated by fixed-cage automation with dynamic cells capable of rapid changeovers. This shift has encouraged continuous production models that can respond in real time to fluctuations in product variants and order volumes, reducing waste and elevating overall equipment effectiveness. In addition, the emergence of collaborative solutions has democratized automation by lowering the barrier to entry for small and mid-sized enterprises seeking to optimize labor-intensive processes.

Moreover, the integration of collaborative robots is accelerating the convergence of physical and digital ecosystems as these machines become integral nodes within smart factories. Through standardized communication protocols and open architecture software, they feed actionable data into manufacturing execution systems, enabling predictive maintenance and real-time performance monitoring. Consequently, firms can achieve unprecedented visibility and control over their operations, unlocking new avenues for continuous improvement and strategic decision making.

As a result, the collaborative robotics revolution is not merely an incremental enhancement; it represents a fundamental overhaul of how manufacturers conceptualize productivity, workforce collaboration, and technological innovation. In the next sections, we will examine regulatory pressures, segmentation dynamics, and regional nuances that collectively inform the strategic roadmap for organizations embracing this evolution

Assessing the Collateral Effects of United States Tariffs Enacted in 2025 on Collaborative Robotics Supply Chains and Cost Structures in Manufacturing

In 2025, the United States implemented a series of tariffs targeting key components and finished assemblies used in collaborative robot manufacturing. These measures have reverberated across global supply chains, prompting integrators to reassess supplier relationships and sourcing strategies. Consequently, certain end users have experienced elevated procurement costs, which in turn have affected project timelines and capital allocation decisions.

The tariff regime has also driven a strategic shift towards regionalization, as manufacturers seek to minimize exposure to cross-border levies by localizing critical assembly operations and forging partnerships with domestic component providers. In some cases, integrators have pursued joint ventures and licensing agreements to gain preferential access to tariff-exempt supply streams. This reactive posture underscores the importance of supply chain agility and the ability to pivot swiftly in response to evolving trade policies.

Despite these headwinds, innovative companies are exploring value-engineering approaches to maintain competitive pricing while sustaining margin thresholds. By optimizing design architectures and embracing modular components, they mitigate cost inflation without compromising system performance or safety compliance. Moving forward, stakeholders must continue to monitor trade developments closely and build resilient procurement frameworks that can adapt to shifting geopolitical landscapes

Deconstructing Collaborative Robot Market Segmentation to Reveal Nuanced Insights Across Type, Payload, Mounting, Application, Industry, and Sales Channels

A nuanced examination of collaborative robot market segmentation reveals critical patterns that inform strategic positioning. When considering system architecture, the landscape divides into hand-guiding functionalities that leverage direct human interaction, power-and-force-limiting designs that prioritize safety through sensor feedback, safety-rated and monitored stops that ensure immediate shutdown capabilities, and speed-and-separation models that dynamically adjust motion based on proximity detection. Each of these configurations carries unique integration requirements and value propositions.

Payload capacity further stratifies the market into categories spanning applications with minimal load demands of up to five kilograms to high-duty tasks above fifty kilograms. Mid-range capacities of five to ten kilograms, ten to twenty kilograms, and twenty to fifty kilograms accommodate the bulk of assembly, pick-and-place, and machine-tending applications. Understanding the distribution of these payload tiers helps manufacturers align robot selection with task complexity and cycle-time objectives.

The physical deployment of collaborative systems also depends on mounting considerations. Whether ceiling-mounted to conserve floor space, floor-mounted for versatility across workstations, or wall-mounted to facilitate linear motion, the choice influences cell layout, safety zoning, and maintenance accessibility. In parallel, application-driven segmentation spans precision-demanding tasks like inspection and testing to heavier processes such as welding and polishing, as well as specialized functions including dispensing, painting, and screw driving.

Industry adoption patterns vary by end users as well, with the automotive sector leading in high-volume deployments and electronics manufacturers embracing micro-automation for quality assurance. Food and beverage operations exploit collaborative platforms for hygienic processing, while healthcare and pharmaceutical firms integrate robots for precision handling. Logistics and warehousing facilities deploy these systems to optimize order fulfillment, and metal and machinery producers incorporate them into fabrication workflows. Finally, sales channels range from traditional offline distribution networks to digital platforms, including brand websites and e-commerce marketplaces, reflecting evolving buyer preferences and after-sales support models

Exploring Regional Dynamics of Collaborative Robotics Adoption Across the Americas, Europe Middle East Africa, and Asia Pacific Markets

Regional dynamics play a pivotal role in shaping collaborative robotics adoption, driven by distinct economic, regulatory, and cultural factors. In the Americas, heightened emphasis on nearshoring and workforce safety regulations has fueled demand for systems that enhance productivity while maintaining strict compliance with occupational health standards. This localization effort has driven investments in domestic integration facilities and training programs designed to upskill existing talent pools.

Meanwhile, Europe, the Middle East, and Africa are characterized by a diverse regulatory environment where safety certification requirements vary across national jurisdictions. As a result, manufacturers are adopting universal safety standards and pursuing modular architectures that facilitate straightforward certification in multiple territories. This approach not only accelerates time to market but also consolidates service networks to provide consistent support across borders.

In the Asia-Pacific region, rapid expansion of consumer electronics and e-commerce sectors has spurred widespread automation, with collaborative robots playing an integral role in addressing labor shortages and rising wage pressures. Government incentives and industrial modernization initiatives have further accelerated deployments in semiconductors, automotive component manufacturing, and pharmaceuticals. In this context, integrators emphasize scalable solutions that can be replicated across high-volume facilities, driving ecosystem collaborations among local research institutions and technology providers

Profiling Leading Collaborative Robotics Innovators and Strategic Players Driving Technological Advances and Competitive Positioning Globally

Leading innovators in the collaborative robotics domain are driving market maturation through strategic product development, ecosystem partnerships, and targeted acquisitions. One prominent manufacturer has prioritized open-platform software upgrades, enabling end users to integrate third-party vision systems and end-of-arm tooling with minimal customization. Another global player has leveraged proprietary safety algorithms to reduce cycle times in precision assembly applications, securing substantial contracts within the electronics sector.

In parallel, several integrators have diversified their service portfolios by establishing Centers of Excellence dedicated to robotic process optimization, offering on-site validation and operator training. Through these facilities, customers can simulate production scenarios and fine-tune robot programming before committing to full-scale deployments. Strategic alliances between robotics specialists and enterprise software vendors are also emerging, facilitating seamless data exchange between collaborative systems and enterprise resource planning platforms.

Furthermore, forward-looking firms are pursuing joint research initiatives with academic institutions to explore next-generation human-robot collaboration paradigms. These partnerships focus on advances in tactile feedback, adaptive grip strength, and multi-robot coordination frameworks, laying the groundwork for more sophisticated applications in sectors such as healthcare, agriculture, and advanced manufacturing

Strategic Recommendations for Industry Leaders to Optimize Collaborative Robot Integration, Mitigate Challenges, and Maximize Operational Returns

To harness the full potential of collaborative robots, industry leaders should first establish cross-functional implementation teams that bring together operations, engineering, and safety professionals. This collaborative governance model ensures that deployment decisions align with both production goals and workplace safety standards. In parallel, organizations should invest in workforce development programs that incorporate hands-on training and digital simulation tools, empowering employees to repurpose their skill sets as automation champions.

Moreover, a phased rollout strategy can mitigate integration risks by validating robot performance in pilot cells before scaling across multiple production lines. During this phase, continuous feedback loops between integrators and end users can refine system configurations and streamline changeover procedures. In addition, leaders should cultivate strategic partnerships with equipment vendors to gain early access to firmware updates, safety certifications, and retrofit kits that extend robot lifecycles.

Finally, decision-makers must prioritize data governance frameworks that capture key performance indicators-such as mean time between failures and task cycle times-to drive ongoing process improvement. By implementing real-time analytics and dashboard reporting, organizations can proactively identify bottlenecks and optimize resource allocation, ensuring that collaborative robotics initiatives deliver sustained operational and financial returns

Elucidating the Rigorous Research Methodology Underpinning Collaborative Robotics Market Analysis and Evidence Based Insights

This analysis draws on a robust research framework that combines primary interviews with automation engineers, procurement executives, and safety compliance officers across multiple geographies. These qualitative insights have been augmented by an extensive review of regulatory filings, peer-reviewed journals, and industry whitepapers to ensure comprehensive coverage of safety standards, technological advancements, and market trends.

Secondary data sources, including government publications and trade association reports, have been meticulously cross-verified with integration partners and end-user feedback to validate assumptions regarding adoption barriers and application efficacy. A multi-stage triangulation process has been employed to reconcile disparate data points, while thematic coding techniques have distilled common patterns in deployment challenges and innovation drivers.

Analytical models based on supply chain resilience and total cost of ownership metrics were applied to assess the impact of trade policies and regional incentives. Furthermore, scenario analysis was conducted to explore the potential ramifications of evolving safety regulations and emerging use cases. This methodical approach underpins the credibility of our findings and supports actionable recommendations for stakeholders seeking to capitalize on collaborative robotics technologies

Synthesizing Critical Findings to Chart the Future Trajectory of Collaborative Robotics and Guide Stakeholders Toward Informed Decision Making

As collaborative robots continue to redefine industrial automation, stakeholders must navigate a landscape shaped by technological innovation, regulatory complexity, and evolving workforce dynamics. The insights presented highlight how transformational shifts-such as the integration of smart factory architectures and the introduction of tariff measures-have influenced supply chains, cost profiles, and strategic sourcing decisions.

Segmentation analysis underscores the importance of aligning robot capabilities with specific operational requirements, from safety-rated functions to diverse payload capacities and mounting configurations. At the same time, regional perspectives reveal distinct investment patterns driven by local economic imperatives and policy initiatives, emphasizing the need for tailored deployment strategies.

Leading companies are setting benchmarks through open-platform solutions, collaborative research partnerships, and service-oriented integration models, illustrating the competitive advantages of continuous innovation. By adopting the strategic recommendations outlined-ranging from phased rollouts to data-driven governance-industry leaders can mitigate implementation risks and unlock sustainable value.

In conclusion, this comprehensive executive summary provides a roadmap for decision-makers to harness collaborative robotics as a catalyst for operational excellence, workforce empowerment, and long-term growth

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

• 4.1. Introduction
• 4.2. Market Sizing & Forecasting

5. Market Dynamics

• 5.1. Surge in AI-powered vision systems driving next-generation collaborative robot precision
• 5.2. Integration of digital twins for real-time optimization of cobot performance and uptime
• 5.3. Adoption of lightweight materials enabling faster and more adaptable cobot deployment
• 5.4. Emergence of cobot-as-a-service models accelerating access for small and medium enterprises
• 5.5. Development of intuitive programming interfaces reducing setup time for collaborative robots
• 5.6. Growing emphasis on cybersecurity measures to protect connected collaborative robot networks
• 5.7. Expansion of multi-robot collaboration frameworks improving flexible automation workflows
• 5.8. Emergence of modular end-of-arm tooling enabling rapid cobot reconfiguration
• 5.9. Increased integration of cloud-based analytics to optimize cobot performance
• 5.10. Rise of collaborative welding robots enhancing safety and throughput on factory floors

6. Market Insights

• 6.1. Porter's Five Forces Analysis
• 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Collaborative Robots Market, by Type

• 8.1. Introduction
• 8.2. Hand Guiding
• 8.3. Power & Force Limiting
• 8.4. Safety Rated & Monitored Stop
• 8.5. Speed & Separation

9. Collaborative Robots Market, by Payload Capacity

• 9.1. Introduction
• 9.2. 10-20 Kg
• 9.3. 20-50 Kg
• 9.4. 5-10 Kg
• 9.5. Above 50 Kg
• 9.6. Up To 5 Kg

10. Collaborative Robots Market, by Mounting Type

• 10.1. Introduction
• 10.2. Ceiling Mounted
• 10.3. Floor Mounted
• 10.4. Wall Mounted

11. Collaborative Robots Market, by Application

• 11.1. Introduction
• 11.2. Assembly
• 11.3. Dispensing & Sealing
• 11.4. Inspection & Testing
• 11.5. Machine Tending
• 11.6. Painting
• 11.7. Pick & Place
• 11.8. Polishing & Grinding
• 11.9. Screw Driving
• 11.10. Welding & Soldering

12. Collaborative Robots Market, by End User Industry

• 12.1. Introduction
• 12.2. Automotive
• 12.3. Electronics
• 12.4. Food & Beverage
• 12.5. Healthcare & Pharmaceutical
• 12.6. Logistics & Warehousing
• 12.7. Metal & Machinery

13. Collaborative Robots Market, by Sales Channel

• 13.1. Introduction
• 13.2. Offline Sales
• 13.3. Online Sales
  • 13.3.1. Brand Websites
  • 13.3.2. Ecommerce Platforms

14. Americas Collaborative Robots Market

• 14.1. Introduction
• 14.2. United States
• 14.3. Canada
• 14.4. Mexico
• 14.5. Brazil
• 14.6. Argentina

15. Europe, Middle East & Africa Collaborative Robots Market

• 15.1. Introduction
• 15.2. United Kingdom
• 15.3. Germany
• 15.4. France
• 15.5. Russia
• 15.6. Italy
• 15.7. Spain
• 15.8. United Arab Emirates
• 15.9. Saudi Arabia
• 15.10. South Africa
• 15.11. Denmark
• 15.12. Netherlands
• 15.13. Qatar
• 15.14. Finland
• 15.15. Sweden
• 15.16. Nigeria
• 15.17. Egypt
• 15.18. Turkey
• 15.19. Israel
• 15.20. Norway
• 15.21. Poland
• 15.22. Switzerland

16. Asia-Pacific Collaborative Robots Market

• 16.1. Introduction
• 16.2. China
• 16.3. India
• 16.4. Japan
• 16.5. Australia
• 16.6. South Korea
• 16.7. Indonesia
• 16.8. Thailand
• 16.9. Philippines
• 16.10. Malaysia
• 16.11. Singapore
• 16.12. Vietnam
• 16.13. Taiwan

17. Competitive Landscape

• 17.1. Market Share Analysis, 2024
• 17.2. FPNV Positioning Matrix, 2024
• 17.3. Competitive Analysis
  • 17.3.1. ABB Ltd.
  • 17.3.2. DENSO WAVE INC.
  • 17.3.3. Fanuc Corporation
  • 17.3.4. Kawasaki Heavy Industries, Ltd.
  • 17.3.5. Kuka AG
  • 17.3.6. Mitsubishi Electric Corporation
  • 17.3.7. Omron Corporation
  • 17.3.8. Seiko Epson Corporation
  • 17.3.9. Universal Robots A/S
  • 17.3.10. Yaskawa Electric Corporation
  • 17.3.11. Arcsecond Drive
  • 17.3.12. Bosch Rexroth AG
  • 17.3.13. Comau S.p.A.
  • 17.3.14. F&P Robotics AG
  • 17.3.15. Locus Robotics Corporation
  • 17.3.16. MRK-Systeme GmbH
  • 17.3.17. ONExia Inc.
  • 17.3.18. Productive Robotics, LLC
  • 17.3.19. PROMATION INC.
  • 17.3.20. RG Group
  • 17.3.21. Shanghai Turin Smart Robot Co.,Ltd.
  • 17.3.22. SMC Corporation
  • 17.3.23. Techman Robot Inc.
  • 17.3.24. Telefonaktiebolaget LM Ericsson
  • 17.3.25. Shenzhen Yuejiang Technology Co., Ltd.

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix