Articulated Robots Market by Type (Four Axis, Six Axis, Five Axis), Payload Capacity (More Than 20 Kg, 5 Kg To 20 Kg, Less Than 5 Kg), Mounting Type, Application - Global Forecast 2025-2032
Description
The Articulated Robots Market was valued at USD 34.04 billion in 2024 and is projected to grow to USD 40.87 billion in 2025, with a CAGR of 20.19%, reaching USD 148.35 billion by 2032.
A comprehensive introduction that frames articulated robots as strategic industrial assets reshaping production, safety, and operational flexibility across sectors
Articulated robots have rapidly matured from specialized automation assets to strategic components of modern industrial systems. Over the last decade, incremental improvements in actuation, sensing, and control software have converged with enhanced human-machine interfaces to broaden applicability across manufacturing, inspection, and logistics workflows. As a result, organizations are now evaluating articulated robot deployments not only for tactical productivity gains but also for their potential to enable new business models, improve workplace safety, and unlock flexible automation pathways that can adapt to changing product assortments.
Transitioning from legacy automation approaches toward articulated solutions requires deliberate planning across engineering, operations, and procurement functions. Early adopters have shown that success hinges on harmonizing end-of-line integration, control architectures, and cybersecurity measures while fostering cross-functional upskilling. Moreover, the interplay of collaborative robots and traditional industrial manipulators is reshaping work design, where human operators and robotic systems perform complementary tasks to increase throughput and quality. In this context, decision-makers should prioritize scalable architectures and modular deployment strategies that reduce integration friction and accelerate value capture.
How advances in perception, connectivity, and modular software are driving a strategic shift toward interoperable and reconfigurable articulated robotic systems
The landscape for articulated robotics is undergoing transformative shifts driven by advances in perception, connectivity, and software-defined control. Edge computing and improved sensor fusion are enabling robots to perceive complex environments more reliably, which in turn expands their viable use cases beyond structured cells to semi-structured production floors. Consequently, manufacturers are exploring hybrid automation strategies that combine fixed automation for repetitive operations with articulated systems for tasks requiring dexterity and adaptability.
In parallel, the proliferation of standardized communication protocols and industrial Ethernet has lowered integration barriers, facilitating faster deployment and multi-vendor interoperability. This interoperability encourages ecosystem development, where tool vendors, integrators, and software providers co-develop vertically optimized solutions. Furthermore, the emergence of modular end-effectors and low-code programming environments is democratizing robot configuration and reducing dependency on specialized engineering resources. Taken together, these shifts are making articulated robots a core enabler of resilient, reconfigurable manufacturing systems.
An analytical review of cumulative tariff effects on articulated robot supply chains highlighting procurement adaptation, sourcing shifts, and compliance burdens
United States tariff measures enacted in recent years have produced tangible operational and strategic effects across supply chains that rely on articulated robotics and their component ecosystems. Increased import duties on certain robotic components and subassemblies have elevated landed costs for original equipment manufacturers and integrators, prompting procurement teams to reassess supplier footprints and total landed cost dynamics. As tariffs altered the cost calculus, many firms accelerated supplier diversification strategies and sought alternative sourcing from trade-partner countries with lower tariff exposure.
Moreover, the cumulative tariff environment intensified focus on nearshoring and regional supply capitalization as mitigation strategies. Engineering teams responded by redesigning certain modules to reduce dependence on tariff-impacted parts while sourcing other inputs locally to preserve lead-time resilience. Compliance and classification complexity also increased administrative overhead, requiring closer collaboration between customs, procurement, and legal functions to manage duty mitigation programs and origin documentation. Consequently, procurement cycles lengthened in some organizations as risk assessments and supplier audits became more prominent features of the purchasing process.
Granular segmentation insights that connect application-specific demands, payload classifications, platform types, mounting options, and operational modes to deployment strategy
A nuanced segmentation lens reveals distinct value drivers and adoption pathways across applications, payload classes, mechanistic types, mounting approaches, and operation modes. Based on Application, market considerations vary across Automotive, Electronics, Food & Beverage, Healthcare & Pharmaceuticals, Metals & Machinery, and Plastics & Polymers, with differentiated requirements within Automotive for Assembly, Material Handling, and Welding, and within Electronics for Inspection, Pick & Place, and Soldering, which influence end-effector design and cycle-time priorities. Based on Payload Capacity, distinctions among 10 Kg To 20 Kg, 5 Kg To 10 Kg, Above 20 Kg, and Up To 5 Kg shape robot selection criteria, safety systems, and cell layout, as heavier-capacity systems demand reinforced structures while lighter classes enable faster, more agile tasks.
Based on Type, platform choices such as Four Axis, Scara, and Six Axis-with Six Axis further differentiated into Collaborative Six Axis and Standard Six Axis-determine dexterity, footprint, and integration complexity, affecting which tasks a given program can automate. Based on Mounting Type, options including Ceiling, Floor, Table, and Wall affect installation flexibility, workspace utilization, and reach envelopes, thereby shaping factory reconfiguration choices. Based on Operation Mode, distinctions between Automatic and Semi Automatic, with Automatic further studied across Fully Autonomous, influence control strategies, human oversight needs, and validation protocols. Integrating these segmentation vectors provides a granular roadmap for aligning technology selection to operational objectives and investment tolerances.
Regional adoption patterns and supply chain dynamics revealing how Americas, Europe Middle East & Africa, and Asia-Pacific each shape articulated robot strategies and deployment models
Regional dynamics shape adoption patterns, supply risk profiles, and innovation concentrations in articulated robotics. Americas markets are characterized by strong demand in automotive and advanced manufacturing clusters, where integration partners focus on high-throughput cell design and tight integration with enterprise systems. In contrast, Europe, Middle East & Africa presents a fragmented but highly specialized ecosystem, with pockets of excellence in precision engineering, human-robot collaboration, and stringent regulatory compliance that emphasize safety and interoperability. Asia-Pacific demonstrates broad-based deployment intensity driven by high-volume electronics manufacturing, robust local suppliers, and rapid iteration around low-cost automation solutions.
These geographic distinctions influence how organizations plan rollouts, prioritize local partnerships, and invest in talent development. For example, firms operating across these regions often adopt layered sourcing strategies that balance component cost, tariff exposure, and proximity to manufacturing hubs. Additionally, regional regulatory frameworks and labour market dynamics determine the pace at which collaborative and fully autonomous systems penetrate production environments. Consequently, multinational strategies must account for regional characteristics to harmonize standards, training programs, and lifecycle support models across diverse operating contexts.
How leading ecosystem players differentiate through modular architectures, software platforms, and services to accelerate adoption and reduce integration friction
Leading companies in the articulated robot ecosystem are converging on complementary strategies to sustain competitive advantage, focusing on differentiated product portfolios, software ecosystems, and services-led revenue streams. Some vendors prioritize modularity and open control architectures to lower integration friction and attract system integrators, while others emphasize verticalized solutions that bundle domain-specific end-effectors, vision systems, and process libraries for high-value segments. Consequently, alliances and strategic partnerships have become common, enabling faster route-to-market for combined hardware-software offerings and smoothing aftermarket support across multiple geographies.
In addition, a shift toward subscription and outcome-based commercial models is enabling vendors to align incentives with customer success, particularly for applications where uptime and continuous improvement determine project ROI. Service capabilities such as remote monitoring, predictive maintenance, and field upgrade programs have become critical differentiators. Finally, talent development and channel enablement are central to scaling deployments: providers that invest in integrator training, developer toolkits, and certified partner networks tend to achieve faster adoption and lower total cost of ownership for their customers.
Actionable recommendations for leaders to scale articulated robotics by combining modular design, cross-functional capability building, and strategic supplier diversification
Industry leaders should adopt a multi-pronged approach to capture value from articulated robotics while managing execution risk. First, prioritize modular cell designs and standardized interfaces that enable phased rollouts and reduce the need for bespoke engineering, thereby shortening time-to-value. Second, invest in cross-functional capability building so production, automation engineering, and IT teams can collaborate on integration, cyber resilience, and lifecycle support. Third, implement supplier diversification strategies that reduce exposure to single-source dependencies and mitigate tariff-related cost volatility through near-term realignment of sourcing footprints.
Furthermore, pilot projects should focus on measurable operational outcomes and be structured to validate not only cycle-time improvements but also quality gains and safety enhancements. To scale successfully, embed analytics and remote support mechanisms that allow continuous performance tuning and predictive maintenance. Finally, consider commercial models that share risk and reward with vendors, such as performance-based contracts, which can accelerate adoption while aligning incentives for long-term operational excellence. Taken together, these actions will help organizations realize the strategic potential of articulated robotics while maintaining agility in a dynamic regulatory and trade environment.
A transparent mixed-methods research methodology combining expert interviews, technical bench testing, and cross-validation to produce actionable insights and defendable conclusions
The research methodology underpinning this executive analysis integrates qualitative and quantitative techniques to ensure robust, validated conclusions. Primary inputs include structured interviews with automation engineers, procurement leaders, and system integrators, supplemented by technical assessments of control platforms, end effector performance, and integration case studies. Secondary sources encompass technical literature, standards documentation, and public disclosures that provide context on component ecosystems, communication protocols, and safety frameworks. These inputs are triangulated to reconcile divergent perspectives and to surface consensus around operational best practices.
Analytical rigor is maintained through scenario analysis and comparative benchmarking across applications, payload classes, and deployment modes. Where appropriate, sensitivity checks and validation interviews with independent experts were used to test assumptions and ensure practical relevance. Limitations are explicitly acknowledged: proprietary performance data and confidential supplier contracts were not accessible, which restricts certain competitive comparisons. Nevertheless, the mixed-methods approach provides a defensible basis for strategic guidance, and the methodology emphasizes reproducibility and transparency so stakeholders can adapt the framework to their specific contexts.
Concluding synthesis on how technology, trade dynamics, and organizational design converge to determine articulated robot adoption success across industries
In conclusion, articulated robots have moved beyond niche automation into strategic enablers of flexible, resilient production systems. Technological advances in sensing, control, and modularity are expanding viable use cases, while shifting trade dynamics and tariffs have reinforced the importance of resilient sourcing and supplier diversification. As organizations balance speed of deployment with operational rigor, successful programs combine modular hardware choices, interoperable software stacks, and strong cross-functional governance to realize sustainable gains. Moreover, regional nuances in regulation, supply base maturity, and labor dynamics mean that a one-size-fits-all approach will underperform relative to targeted, context-aware strategies.
Looking forward, leaders who integrate articulated robots into broader digital transformation agendas-tying automation to analytics, workforce development, and process standardization-will unlock the most durable value. Strategic pilots that validate both performance metrics and organizational readiness provide the foundation for scaled rollouts. Ultimately, the path to competitive advantage lies in aligning technology selection with business objectives, cultivating partnerships that accelerate integration, and institutionalizing learning mechanisms that perpetuate continuous improvement across operations.
Note: PDF & Excel + Online Access - 1 Year
A comprehensive introduction that frames articulated robots as strategic industrial assets reshaping production, safety, and operational flexibility across sectors
Articulated robots have rapidly matured from specialized automation assets to strategic components of modern industrial systems. Over the last decade, incremental improvements in actuation, sensing, and control software have converged with enhanced human-machine interfaces to broaden applicability across manufacturing, inspection, and logistics workflows. As a result, organizations are now evaluating articulated robot deployments not only for tactical productivity gains but also for their potential to enable new business models, improve workplace safety, and unlock flexible automation pathways that can adapt to changing product assortments.
Transitioning from legacy automation approaches toward articulated solutions requires deliberate planning across engineering, operations, and procurement functions. Early adopters have shown that success hinges on harmonizing end-of-line integration, control architectures, and cybersecurity measures while fostering cross-functional upskilling. Moreover, the interplay of collaborative robots and traditional industrial manipulators is reshaping work design, where human operators and robotic systems perform complementary tasks to increase throughput and quality. In this context, decision-makers should prioritize scalable architectures and modular deployment strategies that reduce integration friction and accelerate value capture.
How advances in perception, connectivity, and modular software are driving a strategic shift toward interoperable and reconfigurable articulated robotic systems
The landscape for articulated robotics is undergoing transformative shifts driven by advances in perception, connectivity, and software-defined control. Edge computing and improved sensor fusion are enabling robots to perceive complex environments more reliably, which in turn expands their viable use cases beyond structured cells to semi-structured production floors. Consequently, manufacturers are exploring hybrid automation strategies that combine fixed automation for repetitive operations with articulated systems for tasks requiring dexterity and adaptability.
In parallel, the proliferation of standardized communication protocols and industrial Ethernet has lowered integration barriers, facilitating faster deployment and multi-vendor interoperability. This interoperability encourages ecosystem development, where tool vendors, integrators, and software providers co-develop vertically optimized solutions. Furthermore, the emergence of modular end-effectors and low-code programming environments is democratizing robot configuration and reducing dependency on specialized engineering resources. Taken together, these shifts are making articulated robots a core enabler of resilient, reconfigurable manufacturing systems.
An analytical review of cumulative tariff effects on articulated robot supply chains highlighting procurement adaptation, sourcing shifts, and compliance burdens
United States tariff measures enacted in recent years have produced tangible operational and strategic effects across supply chains that rely on articulated robotics and their component ecosystems. Increased import duties on certain robotic components and subassemblies have elevated landed costs for original equipment manufacturers and integrators, prompting procurement teams to reassess supplier footprints and total landed cost dynamics. As tariffs altered the cost calculus, many firms accelerated supplier diversification strategies and sought alternative sourcing from trade-partner countries with lower tariff exposure.
Moreover, the cumulative tariff environment intensified focus on nearshoring and regional supply capitalization as mitigation strategies. Engineering teams responded by redesigning certain modules to reduce dependence on tariff-impacted parts while sourcing other inputs locally to preserve lead-time resilience. Compliance and classification complexity also increased administrative overhead, requiring closer collaboration between customs, procurement, and legal functions to manage duty mitigation programs and origin documentation. Consequently, procurement cycles lengthened in some organizations as risk assessments and supplier audits became more prominent features of the purchasing process.
Granular segmentation insights that connect application-specific demands, payload classifications, platform types, mounting options, and operational modes to deployment strategy
A nuanced segmentation lens reveals distinct value drivers and adoption pathways across applications, payload classes, mechanistic types, mounting approaches, and operation modes. Based on Application, market considerations vary across Automotive, Electronics, Food & Beverage, Healthcare & Pharmaceuticals, Metals & Machinery, and Plastics & Polymers, with differentiated requirements within Automotive for Assembly, Material Handling, and Welding, and within Electronics for Inspection, Pick & Place, and Soldering, which influence end-effector design and cycle-time priorities. Based on Payload Capacity, distinctions among 10 Kg To 20 Kg, 5 Kg To 10 Kg, Above 20 Kg, and Up To 5 Kg shape robot selection criteria, safety systems, and cell layout, as heavier-capacity systems demand reinforced structures while lighter classes enable faster, more agile tasks.
Based on Type, platform choices such as Four Axis, Scara, and Six Axis-with Six Axis further differentiated into Collaborative Six Axis and Standard Six Axis-determine dexterity, footprint, and integration complexity, affecting which tasks a given program can automate. Based on Mounting Type, options including Ceiling, Floor, Table, and Wall affect installation flexibility, workspace utilization, and reach envelopes, thereby shaping factory reconfiguration choices. Based on Operation Mode, distinctions between Automatic and Semi Automatic, with Automatic further studied across Fully Autonomous, influence control strategies, human oversight needs, and validation protocols. Integrating these segmentation vectors provides a granular roadmap for aligning technology selection to operational objectives and investment tolerances.
Regional adoption patterns and supply chain dynamics revealing how Americas, Europe Middle East & Africa, and Asia-Pacific each shape articulated robot strategies and deployment models
Regional dynamics shape adoption patterns, supply risk profiles, and innovation concentrations in articulated robotics. Americas markets are characterized by strong demand in automotive and advanced manufacturing clusters, where integration partners focus on high-throughput cell design and tight integration with enterprise systems. In contrast, Europe, Middle East & Africa presents a fragmented but highly specialized ecosystem, with pockets of excellence in precision engineering, human-robot collaboration, and stringent regulatory compliance that emphasize safety and interoperability. Asia-Pacific demonstrates broad-based deployment intensity driven by high-volume electronics manufacturing, robust local suppliers, and rapid iteration around low-cost automation solutions.
These geographic distinctions influence how organizations plan rollouts, prioritize local partnerships, and invest in talent development. For example, firms operating across these regions often adopt layered sourcing strategies that balance component cost, tariff exposure, and proximity to manufacturing hubs. Additionally, regional regulatory frameworks and labour market dynamics determine the pace at which collaborative and fully autonomous systems penetrate production environments. Consequently, multinational strategies must account for regional characteristics to harmonize standards, training programs, and lifecycle support models across diverse operating contexts.
How leading ecosystem players differentiate through modular architectures, software platforms, and services to accelerate adoption and reduce integration friction
Leading companies in the articulated robot ecosystem are converging on complementary strategies to sustain competitive advantage, focusing on differentiated product portfolios, software ecosystems, and services-led revenue streams. Some vendors prioritize modularity and open control architectures to lower integration friction and attract system integrators, while others emphasize verticalized solutions that bundle domain-specific end-effectors, vision systems, and process libraries for high-value segments. Consequently, alliances and strategic partnerships have become common, enabling faster route-to-market for combined hardware-software offerings and smoothing aftermarket support across multiple geographies.
In addition, a shift toward subscription and outcome-based commercial models is enabling vendors to align incentives with customer success, particularly for applications where uptime and continuous improvement determine project ROI. Service capabilities such as remote monitoring, predictive maintenance, and field upgrade programs have become critical differentiators. Finally, talent development and channel enablement are central to scaling deployments: providers that invest in integrator training, developer toolkits, and certified partner networks tend to achieve faster adoption and lower total cost of ownership for their customers.
Actionable recommendations for leaders to scale articulated robotics by combining modular design, cross-functional capability building, and strategic supplier diversification
Industry leaders should adopt a multi-pronged approach to capture value from articulated robotics while managing execution risk. First, prioritize modular cell designs and standardized interfaces that enable phased rollouts and reduce the need for bespoke engineering, thereby shortening time-to-value. Second, invest in cross-functional capability building so production, automation engineering, and IT teams can collaborate on integration, cyber resilience, and lifecycle support. Third, implement supplier diversification strategies that reduce exposure to single-source dependencies and mitigate tariff-related cost volatility through near-term realignment of sourcing footprints.
Furthermore, pilot projects should focus on measurable operational outcomes and be structured to validate not only cycle-time improvements but also quality gains and safety enhancements. To scale successfully, embed analytics and remote support mechanisms that allow continuous performance tuning and predictive maintenance. Finally, consider commercial models that share risk and reward with vendors, such as performance-based contracts, which can accelerate adoption while aligning incentives for long-term operational excellence. Taken together, these actions will help organizations realize the strategic potential of articulated robotics while maintaining agility in a dynamic regulatory and trade environment.
A transparent mixed-methods research methodology combining expert interviews, technical bench testing, and cross-validation to produce actionable insights and defendable conclusions
The research methodology underpinning this executive analysis integrates qualitative and quantitative techniques to ensure robust, validated conclusions. Primary inputs include structured interviews with automation engineers, procurement leaders, and system integrators, supplemented by technical assessments of control platforms, end effector performance, and integration case studies. Secondary sources encompass technical literature, standards documentation, and public disclosures that provide context on component ecosystems, communication protocols, and safety frameworks. These inputs are triangulated to reconcile divergent perspectives and to surface consensus around operational best practices.
Analytical rigor is maintained through scenario analysis and comparative benchmarking across applications, payload classes, and deployment modes. Where appropriate, sensitivity checks and validation interviews with independent experts were used to test assumptions and ensure practical relevance. Limitations are explicitly acknowledged: proprietary performance data and confidential supplier contracts were not accessible, which restricts certain competitive comparisons. Nevertheless, the mixed-methods approach provides a defensible basis for strategic guidance, and the methodology emphasizes reproducibility and transparency so stakeholders can adapt the framework to their specific contexts.
Concluding synthesis on how technology, trade dynamics, and organizational design converge to determine articulated robot adoption success across industries
In conclusion, articulated robots have moved beyond niche automation into strategic enablers of flexible, resilient production systems. Technological advances in sensing, control, and modularity are expanding viable use cases, while shifting trade dynamics and tariffs have reinforced the importance of resilient sourcing and supplier diversification. As organizations balance speed of deployment with operational rigor, successful programs combine modular hardware choices, interoperable software stacks, and strong cross-functional governance to realize sustainable gains. Moreover, regional nuances in regulation, supply base maturity, and labor dynamics mean that a one-size-fits-all approach will underperform relative to targeted, context-aware strategies.
Looking forward, leaders who integrate articulated robots into broader digital transformation agendas-tying automation to analytics, workforce development, and process standardization-will unlock the most durable value. Strategic pilots that validate both performance metrics and organizational readiness provide the foundation for scaled rollouts. Ultimately, the path to competitive advantage lies in aligning technology selection with business objectives, cultivating partnerships that accelerate integration, and institutionalizing learning mechanisms that perpetuate continuous improvement across operations.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
192 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Implementation of AI-driven vision guided articulated robots for precision electronics assembly
- 5.2. Adoption of collaborative articulated robots in small batch automotive component production lines
- 5.3. Integration of digital twin simulation for predictive maintenance in robotic work cells
- 5.4. Development of lightweight carbon fiber articulated arms to enhance cycle time efficiency
- 5.5. Implementation of 5G enabled remote programming and real time monitoring of robot fleets
- 5.6. Use of modular end effector tool changers to accelerate multi process articulated robotic cells
- 5.7. Deployment of AI enabled force feedback systems for collaborative robot human safety applications
- 5.8. Integration of multi robot synchronous welding in large scale shipbuilding production yards
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Articulated Robots Market, by Type
- 8.1. Four Axis
- 8.2. Six Axis
- 8.3. Five Axis
- 8.4. Seven Axis
- 9. Articulated Robots Market, by Payload Capacity
- 9.1. More Than 20 Kg
- 9.2. 5 Kg To 20 Kg
- 9.3. Less Than 5 Kg
- 10. Articulated Robots Market, by Mounting Type
- 10.1. Ceiling
- 10.2. Floor
- 10.3. Table
- 10.4. Wall
- 11. Articulated Robots Market, by Application
- 11.1. Automotive
- 11.1.1. Assembly
- 11.1.2. Material Handling
- 11.1.3. Welding
- 11.2. Electronics
- 11.2.1. Inspection
- 11.2.2. Pick & Place
- 11.2.3. Soldering
- 11.3. Food & Beverage
- 11.4. Healthcare & Pharmaceuticals
- 11.5. Metals & Machinery
- 11.6. Plastics & Polymers
- 12. Articulated Robots Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Articulated Robots Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Articulated Robots Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. ABB Ltd.
- 15.3.2. Fanuc Corporation
- 15.3.3. KUKA AG
- 15.3.4. Yaskawa Electric Corporation
- 15.3.5. Kawasaki Heavy Industries, Ltd.
- 15.3.6. Mitsubishi Electric Corporation
- 15.3.7. Nachi-Fujikoshi Corp.
- 15.3.8. Denso Corporation
- 15.3.9. Seiko Epson Corporation
- 15.3.10. Stäubli International AG
- 15.3.11. Comau S.p.A.
- 15.3.12. Hyundai Robotics
- 15.3.13. Omron Corporation
- 15.3.14. Universal Robots A/S
- 15.3.15. Techman Robot Inc.
- 15.3.16. Yamaha Motor Co., Ltd.
- 15.3.17. Panasonic Holdings Corporation
- 15.3.18. IGM Robotique Inc.
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