協作機器人市場按類型、負載容量、安裝類型、應用、最終用戶行業和銷售管道- 全球預測，2025-2030 年

預計協作機器人市場規模到 2024 年將達到 24.6 億美元，到 2025 年將達到 29 億美元，到 2030 年將達到 69 億美元，複合年成長率為 18.70%。

主要市場統計數據
基準年2024年	24.6億美元
預計2025年	29億美元
預測年份 2030	69億美元
複合年成長率（%）	18.70%

引領協作機器人的崛起：全面介紹機器人在現代自動化系統中的作用、演變與策略重要性

自從可程式自動化引入製造業以來，協作機器人已從實驗原型發展成為工廠車間的關鍵夥伴。這些先進的系統融合了智慧感測、自適應運動控制和直覺的介面，能夠與人類工人安全無阻地協同工作。為了滿足日益成長的靈活生產需求和工廠回流舉措，各行各業的製造商都在採用這些機器來提高產量、改善品質並確保工人安全。

探索協作機器人為工業環境帶來的革命性變化及其對營運效率的持久影響

協作機器人徹底改變了製造模式，以能夠快速切換的組裝單元取代了曾經以固定籠式自動化為主的組裝線。這種轉變促進了一種連續生產模式，可以即時回應產品變化和訂單量波動，從而減少浪費並提高整體設施效率。此外，協作解決方案的出現降低了尋求最佳化勞動密集型流程的中小企業的進入門檻，從而實現了自動化的普及。

評估2025年美國徵收關稅對協作機器人供應鏈和製造成本結構的附帶影響

2025年，美國針對協作機器人製造中使用的關鍵零件和成品組件實施了一系列關稅。這些措施對全球供應鏈產生了連鎖反應，迫使整合商重新評估其供應商關係和籌資策略。結果，一些最終用戶的採購成本增加，影響了計劃進度和資本配置決策。

解構協作機器人市場細分，揭示類型、負載容量、實施、應用、最終用戶行業和銷售管道的詳細見解

仔細研究協作機器人市場細分，可以發現有助於策略定位的關鍵模式。從系統結構來看，市場可分為以下幾類：利用直接人機互動的手動引導功能；透過感測器回饋優先考慮安全性的功率和力度限制設計；確保即時關閉的安全額定和監控停止功能；以及基於接近度檢測動態調整運動的速度和分離模型。每種配置都有其獨特的整合要求和價值提案。

探索美洲、歐洲、中東和非洲以及亞太市場協作機器人採用的區域動態

經濟、監管和文化因素驅動的區域動態在協作機器人的採用中發揮關鍵作用。在美洲，對近岸外包和職業安全法規的日益重視，推動了對能夠提高生產力並嚴格遵守職業健康標準的系統的需求。這種在地化努力正在推動對國內整合設施和培訓計畫的投資，旨在提升現有人才庫的技能。

介紹協作機器人領域的關鍵創新者以及推動全球技術進步和競爭的策略參與者

協作機器人領域的關鍵創新者正透過策略性產品開發、生態系統夥伴關係和有針對性的收購來推動市場成熟。一家領先的製造商優先考慮開放平台軟體升級，允許最終用戶以最低限度的客製化程度整合第三方視覺系統和末端執行器工具。另一家全球性公司則利用專有安全演算法來縮短精密組裝應用的周期時間，並贏得了電子領域的大額合約。

為產業領導者提供策略建議，以最佳化協作機器人整合、緩解挑戰並最大化營運效益

為了充分發揮協作機器人的潛力，產業領導者首先應建立一個跨職能的採用團隊，匯集營​​運、工程和安全專家。這種協作管治模式可確保採用決策符合生產目標和職場安全標準。同時，組織應投資人才發展計劃，包括在職培訓和數位類比工具，使員工能夠重新利用其技能，成為自動化領域的佼佼者。

揭示協作機器人市場分析和基於證據的洞察背後的嚴謹調查方法

本分析採用穩健的研究框架，結合對多個地區的自動化工程師、採購負責人和安全合規負責人的初步訪談。這些定性洞察也透過對監管文件、同行評審日誌和行業白皮書的廣泛查閱進行補充，以確保全面涵蓋安全標準、技術進步和市場趨勢。

綜合關鍵見解，規劃協作機器人的未來發展軌跡，並為相關人員提供有益的決策指導

隨著協作機器人不斷重塑工業自動化，相關人員必須應對由技術創新、監管複雜性和不斷變化的勞動力動態所塑造的模式。本文提出的見解重點闡述了智慧工廠架構的整合和關稅措施的推出等轉型變革如何影響供應鏈、成本狀況和策略採購決策。

總之，這份全面的執行摘要為決策者提供了藍圖，利用協作機器人作為卓越營運、勞動力增強和長期成長的催化劑。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章市場動態

• 人工智慧視覺系統的普及將推動下一代協作機器人精確度的提高
• 數位雙胞胎整合即時最佳化協作機器人效能和正常運作
• 輕質材料使協作機器人的部署更快、更具適應性
• 協作機器人即服務模式的出現加速了中小企業的接入
• 開發直覺的程式介面，減少協作機器人的設定時間
• 網路安全措施對於保護連網協作機器人網路變得越來越重要
• 擴展多機器人協作框架，以改善靈活的自動化工作流程
• 引入模組化臂端工具，實現協作機器人的快速重新配置
• 增強雲端基礎的分析整合，以最佳化協作機器人的性能
• 協作焊接機器人的興起提高了工廠車間的安全性和產量

第6章 市場洞察

• 波特五力分析
• PESTEL分析

第7章 2025年美國關稅的累積影響

第8章協作機器人市場（按類型）

• 手冊
• 權力和武力限制
• 安全評估和監督停工
• 速度與分離

9. 協作機器人市場（依最大負載容量容量）

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

第10章協作機器人市場（依實施類型）

• 天花板安裝
• 落地式
• 壁掛式

第11章協作機器人市場（按應用）

• 組裝
• 分配和密封
• 檢查和測試
• 機器操作
• 塗層
• 拾取和放置
• 拋光和研磨
• 螺絲擰緊
• 焊接和釬焊

第12章 協作機器人市場（依最終用戶產業）

• 車
• 電子產品
• 食品/飲料
• 醫療保健和製藥
• 物流/倉儲
• 金屬和機械

第13章 協作機器人市場（依銷售管道）

• 線下銷售
• 網上銷售
  • 品牌網站
  • 電商平台

14.美洲協作機器人市場

• 美國
• 加拿大
• 墨西哥
• 巴西
• 阿根廷

15.歐洲、中東和非洲協作機器人市場

• 英國
• 德國
• 法國
• 俄羅斯
• 義大利
• 西班牙
• 阿拉伯聯合大公國
• 沙烏地阿拉伯
• 南非
• 丹麥
• 荷蘭
• 卡達
• 芬蘭
• 瑞典
• 奈及利亞
• 埃及
• 土耳其
• 以色列
• 挪威
• 波蘭
• 瑞士

16.亞太協作機器人市場

• 中國
• 印度
• 日本
• 澳洲
• 韓國
• 印尼
• 泰國
• 菲律賓
• 馬來西亞
• 新加坡
• 越南
• 台灣

第17章競爭格局

• 2024年市場佔有率分析
• 2024年FPNV定位矩陣
• 競爭分析
  • 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18章 研究人工智慧

第19章 研究統計

第20章 研究聯絡人

第21章 研究報導

第22章 附錄

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