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Multi-joint Upper Limb Rehabilitation Robot Market - Global Forecast 2026-2032

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    Report

  • 192 Pages
  • January 2026
  • Region: Global
  • 360iResearch™
  • ID: 6124917
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The Multi-joint Upper Limb Rehabilitation Robot Market grew from USD 365.47 million in 2025 to USD 416.38 million in 2026. It is expected to continue growing at a CAGR of 13.23%, reaching USD 872.47 million by 2032.

Why multi-joint upper limb rehabilitation robots are becoming essential to modern therapy delivery amid workforce pressure and outcomes accountability

Multi-joint upper limb rehabilitation robots have moved from niche innovation to a pragmatic response to a widening gap between rehabilitation demand and available therapy capacity. Stroke, traumatic brain injury, spinal cord injury, orthopedic trauma, and age-related functional decline continue to drive long-duration therapy needs, while health systems face staffing constraints, rising expectations for measurable outcomes, and pressure to extend care beyond hospital walls. Against this backdrop, robotic systems that can deliver high-repetition, task-specific movement across the shoulder, elbow, wrist, and hand are increasingly evaluated as clinical productivity tools rather than experimental devices.

What differentiates the current generation of multi-joint platforms is not only the number of joints supported, but the way hardware, sensing, and software combine into a closed-loop therapy environment. Multi-axis actuation, impedance control, and richer sensor fusion are enabling safer assistance-as-needed and more adaptive sessions that can evolve from passive mobilization to active-resistive training. In parallel, clinicians and administrators are demanding integrated analytics that translate kinematics, force profiles, and adherence patterns into actionable therapy decisions.

As healthcare delivery shifts toward measurable value, the conversation has broadened from “does it work?” to “how does it fit?” Fit now includes workflow integration, therapist acceptance, patient engagement, infection control, maintenance burden, and digital interoperability with electronic medical records and remote monitoring tools. Consequently, the competitive arena spans established rehabilitation device leaders, robotics specialists, and software-forward entrants building ecosystems that connect in-clinic therapy with supervised home programs.

This executive summary frames the market environment through the most decision-relevant lenses: structural shifts transforming adoption dynamics, the operational implications of United States tariffs in 2025, segmentation patterns that define real purchasing behavior, region-specific adoption signals, company positioning themes, and practical recommendations for leaders navigating product strategy and commercialization.

From devices to therapy ecosystems: how software, distributed care, and objective outcomes are reshaping competition and adoption priorities

The landscape is undergoing a decisive shift from hardware-centric differentiation to therapy-platform competition. Buyers increasingly evaluate systems as end-to-end solutions that combine robotic mechanics with clinical protocols, patient engagement design, outcome dashboards, and service reliability. As a result, vendors that treat software updates, content libraries, and clinical education as core product elements-not optional add-ons-are shaping procurement conversations.

At the same time, rehabilitation is becoming more distributed. Inpatient rehabilitation facilities and hospital-based programs remain central for acute and subacute recovery, yet outpatient networks and community-based care are gaining influence over purchasing because they manage long therapy tails. This distribution trend favors systems that can support faster room turnover, simpler donning and doffing, and therapist-supervised multi-patient workflows. It also elevates the importance of remote configurability and the ability to maintain consistent protocols across sites.

Another transformative shift is the growing reliance on objective measurement. Kinematic and kinetic data, when presented in clinician-friendly formats, is increasingly used to justify therapy intensity, document progress, and align expectations with patients and caregivers. However, measurement alone is not enough; buyers are asking for clinically interpretable metrics, benchmarking across sessions, and decision-support that helps therapists adjust assistance levels and task difficulty without adding documentation burden.

Interoperability is also changing the competitive ground rules. Health systems are pursuing unified data strategies, which makes integration with electronic records, imaging archives, and enterprise analytics more relevant. Devices that export standardized datasets and support secure connectivity reduce friction during IT review. In parallel, cybersecurity requirements and medical device software lifecycle management are becoming gating factors, particularly for network-connected platforms.

Finally, the market is seeing an increased emphasis on evidence and implementation science rather than only efficacy. Clinical leaders want clarity on how a system performs across varying impairment levels, how quickly staff can be trained, and what happens when the “champion therapist” leaves. Vendors are responding by building standardized onboarding pathways, remote support models, and structured clinical playbooks that help sites reach stable utilization rates.

How United States tariffs in 2025 are reshaping pricing stability, sourcing resilience, and procurement models for rehabilitation robotics

United States tariffs in 2025 are influencing multi-joint upper limb rehabilitation robotics through both direct cost pressure and indirect operational complexity. For systems with imported actuators, sensors, precision gearboxes, embedded computing components, and aluminum or steel assemblies, tariff exposure can translate into procurement hesitation, longer approval cycles, or renegotiated service terms. Even when a device is assembled domestically, reliance on upstream imported subcomponents can leave suppliers vulnerable to sudden cost changes.

In response, vendors are actively rethinking bills of materials and supplier geographies. Dual-sourcing strategies for motion-control components, alternative grades or forms of structural materials, and redesigned electronics around more readily available parts are becoming more common. However, these changes are not frictionless. Engineering substitutions can trigger additional verification and validation work, documentation updates, and sometimes regulatory notifications depending on the nature of the change. Consequently, tariff-driven redesign can introduce time-to-market risks if not managed with disciplined configuration control.

Tariffs are also amplifying the role of total cost of ownership in buying decisions. Providers are weighing not just upfront pricing but also uptime guarantees, parts availability, and the predictability of consumables and accessories. This environment favors vendors that can contractually stabilize service pricing, maintain regional spare-parts depots, and demonstrate resilient logistics. It also encourages more conservative procurement behavior, where buyers prefer platforms with proven reliability and clear maintenance pathways.

Another important impact is the potential shift in purchasing structures. Some providers may lean toward leasing, managed services, or per-use models to reduce immediate capital exposure when pricing volatility is anticipated. These models, however, demand stronger vendor financial discipline and operational maturity, including field service coverage, refurbishment processes, and software support commitments.

Over the near term, the most successful strategies will likely be those that balance supply-chain resilience with clinical continuity. Buyers do not want frequent hardware revisions that complicate training and parts stocking. Vendors that communicate transparently about component sourcing, end-of-life planning, and compatibility across revisions can reduce perceived risk, especially for multi-site health systems standardizing therapy pathways.

Segmentation signals that buying decisions hinge on clinical workflow fit, control modes, and care setting priorities more than on joint count alone

Segmentation reveals that demand patterns are not monolithic; they are shaped by who buys, how therapy is delivered, and what outcomes are prioritized. Across product type considerations, end users differentiate between systems optimized for proximal control and shoulder-elbow coordination and those designed to extend therapy into wrist and hand function, recognizing that multi-joint integration can accelerate functional task practice but may also increase setup complexity. Buyers increasingly prefer platforms that allow modular progression, enabling clinics to start with core capabilities and expand functionality as utilization stabilizes.

When viewed through modality and therapy approach, adoption is strongly influenced by how well a device supports assistance-as-needed, active training, and progressive resistance while maintaining safety for patients with spasticity, pain, or limited voluntary control. Systems that offer flexible control modes-ranging from passive mobilization to interactive task-based training-tend to align better with real-world caseload variability. In addition, gamified content is valued when it is clinically grounded and configurable, rather than purely entertainment-oriented.

Technology segmentation emphasizes the growing importance of sensor quality, control algorithms, and data usability. Clinics are drawn to solutions that translate raw motion and force data into meaningful indicators of coordination, range, smoothness, and endurance. Yet the strongest purchasing pull often comes from workflow efficiency: faster fitting, intuitive therapist interfaces, and repeatable session templates that reduce cognitive load. Integration of AI-assisted personalization is gaining traction when it is transparent and controllable, allowing clinicians to override recommendations and document rationale.

Patient population segmentation illustrates that impairment severity and diagnosis mix drive different feature requirements. High-acuity neurological patients often require robust support, smooth backdrivability, and safety features such as torque limits and emergency stop ergonomics. Conversely, orthopedic and sports-rehab populations prioritize controlled strengthening, precise range limits, and quicker transitions between exercises. Pediatric use introduces additional constraints around sizing, comfort, engagement design, and caregiver involvement.

From the lens of care setting and channel dynamics, inpatient rehabilitation programs value throughput, durability, and standardized protocols that multiple therapists can execute reliably. Outpatient centers focus on patient experience, scheduling flexibility, and differentiated service offerings that improve retention. Home and community-oriented pathways increase the emphasis on remote monitoring, simplified interfaces, and adherence support, as well as structured escalation paths when a patient struggles.

Finally, segmentation by purchasing and funding mechanisms highlights the need for clear justification and measurable documentation. Facilities operating under tight capital governance look for strong clinical education packages and implementation support to ensure utilization. Where value-based care initiatives and bundled payments are more prevalent, decision-makers prioritize systems that demonstrate consistent functional gains and reduce downstream costs through better independence and fewer complications.

Regional adoption is shaped by rehabilitation pathway design, procurement maturity, and service infrastructure across major global healthcare ecosystems

Regional dynamics show that adoption is often driven by how rehabilitation pathways are organized, how procurement is governed, and how quickly digital health infrastructure is modernizing. In the Americas, large health systems and rehabilitation networks increasingly demand standardized therapy protocols across multiple sites, which elevates the importance of scalable training, centralized analytics, and consistent service coverage. At the same time, competitive outpatient markets reward differentiated patient experiences, making engaging task libraries and clear progress reporting especially influential.

Across Europe, the Middle East, and Africa, purchasing decisions frequently balance clinical ambition with strong requirements for safety, compliance, and interoperability. Many providers are focused on harmonizing practices across public and private systems, which can favor vendors that provide robust documentation, multilingual training materials, and flexible deployment configurations suited to both large hospitals and specialized rehab centers. In parts of the region, constrained budgets heighten attention to durability, lifecycle serviceability, and the ability to demonstrate sustained utilization rather than sporadic pilot usage.

In Asia-Pacific, rapid investment in hospital modernization, expanding private care capacity, and the growing prevalence of technology-forward rehabilitation models are supporting faster experimentation with robotics. However, the region’s diversity means adoption varies widely by country and by urban versus non-urban settings. Buyers often prioritize compact footprints, high patient throughput, and strong local service partners. Additionally, culturally informed engagement design and localization of interfaces and therapy content can be decisive in achieving adherence and therapist acceptance.

Across all regions, procurement is becoming more sophisticated. Buyers increasingly request evidence of implementation success, not just clinical performance, and they expect clear roadmaps for software updates, cybersecurity maintenance, and interoperability. Vendors that can align regional service networks with standardized clinical enablement are better positioned to convert interest into long-term deployments.

Company differentiation now depends on clinical credibility, service reliability, and ecosystem breadth that sustains utilization beyond initial deployment

Company positioning in this space can be understood through three recurring themes: clinical credibility, operational readiness, and ecosystem breadth. Organizations that have invested in clinician-led product design and multi-site implementations tend to earn trust faster, particularly when they can demonstrate repeatable onboarding and sustained utilization. Increasingly, credibility is reinforced by transparent outcome reporting tools and clinical education frameworks that reduce variability between therapists and sites.

A second differentiator is service execution. Field support responsiveness, parts availability, and remote diagnostics have become as important as device performance because downtime directly affects patient schedules and staff confidence. Companies that provide structured preventive maintenance, clear escalation pathways, and software lifecycle support reduce operational risk for providers. Additionally, vendors with established quality systems and disciplined change management are better equipped to navigate component substitutions and iterative upgrades without disrupting clinical routines.

The third theme is ecosystem strategy. Some companies emphasize tight integration between robotic therapy, assessment tools, and digital patient engagement, aiming to support a continuum from inpatient to outpatient and, where feasible, into the home. Others focus on specialization-delivering exceptional performance for specific joint combinations or therapy modalities and partnering for complementary capabilities. Across both strategies, buyers respond positively to platforms that can interoperate with broader data environments and provide configurable content that reflects real clinical practice.

Competition is also intensifying around usability. Firms that reduce setup time, improve patient comfort, and simplify therapist controls often achieve higher utilization rates, which in turn strengthens renewal and expansion opportunities. As procurement groups scrutinize training burden, vendors that can demonstrate fast competency ramps and resilient workflows are increasingly advantaged.

Practical actions leaders can take now to raise utilization, de-risk tariff exposure, and win procurement with serviceable, interoperable platforms

Industry leaders should prioritize designs that translate into utilization, because utilization is the true driver of clinical and commercial success. This starts with minimizing setup complexity through ergonomic fixtures, rapid calibration, and intuitive interfaces that match therapist mental models. In parallel, leaders should invest in configurable therapy pathways that make it easy to progress patients from early-stage assistance to higher-intensity training without requiring extensive manual reprogramming.

Next, build tariff-resilient operations without destabilizing the clinical product. Strengthen supply-chain visibility to the subcomponent level, qualify secondary suppliers for motion-control and compute elements, and create clear rules for when substitutions require clinical revalidation. Where feasible, regionalize assembly and spare-parts stocking to reduce lead times. Just as importantly, communicate proactively with provider partners about revision compatibility, parts continuity, and service commitments to preserve trust during sourcing transitions.

Commercial strategy should align with how providers pay and procure. Offer contracting options that reduce capital friction while protecting service quality, including structured leasing or managed-service models with defined uptime expectations. Equip sales and clinical teams with implementation playbooks that cover therapist training, scheduling templates, success metrics, and stakeholder reporting. Leaders should also strengthen economic narratives around workforce efficiency and documentation support, emphasizing how objective data can streamline goal setting and progress reporting.

Finally, treat interoperability, cybersecurity, and software maintenance as board-level priorities. Establish a credible roadmap for secure connectivity, role-based access, audit logs, and update governance. Provide data export options that support provider analytics without locking customers into proprietary silos. Over time, the companies that win will be those that make robotic therapy easier to adopt, easier to operate, and easier to justify-at every stage of the patient journey.

A triangulated methodology blending clinician validation, procurement realities, and technology analysis to deliver decision-ready market intelligence

The research methodology combines structured secondary research with targeted primary validation to ensure a decision-oriented view of the multi-joint upper limb rehabilitation robot landscape. Secondary research draws on publicly available regulatory databases, company filings and product documentation, clinical literature, patent activity, standards guidance, procurement and tender artifacts, and credible industry publications. This establishes a baseline understanding of technology evolution, competitive positioning, and adoption constraints.

Primary research is conducted through interviews and structured discussions with stakeholders across the value chain, including rehabilitation clinicians, therapy managers, hospital administrators, biomedical engineers, distributors, and industry experts involved in device development and deployment. These conversations focus on real-world workflow requirements, utilization drivers, service expectations, integration barriers, and procurement decision criteria. Input is cross-checked to reduce bias and to separate aspirational preferences from operational realities.

Analysis is triangulated by comparing perspectives across stakeholder types and care settings, then stress-testing conclusions against observable market behavior such as product roadmap signals, partnership activity, and implementation patterns. Qualitative insights are synthesized into actionable themes, emphasizing adoption catalysts, barriers, and practical strategies rather than numeric market outputs.

Throughout the process, emphasis is placed on clarity and repeatability. Definitions are standardized, segment boundaries are consistently applied, and findings are reviewed for internal consistency to ensure the final narrative supports strategic decisions in product planning, commercialization, sourcing, and service design.

What this market direction means for stakeholders as utilization, resilience, and measurable outcomes redefine success in upper limb robotics

Multi-joint upper limb rehabilitation robots are increasingly evaluated as capacity multipliers and measurement tools that help providers deliver consistent, intensive therapy amid staffing and documentation constraints. The market is evolving toward software-driven therapy ecosystems where usability, data interpretability, and service execution determine long-term adoption more than mechanical specifications alone.

At the same time, United States tariffs in 2025 are reinforcing the importance of supply-chain resilience, predictable total cost of ownership, and transparent revision management. Providers are responding with more rigorous procurement scrutiny and a greater preference for vendors that can guarantee uptime, parts continuity, and stable clinical workflows.

Segmentation patterns underscore that successful strategies are grounded in fit: fit to patient populations, fit to care settings, fit to therapist workflows, and fit to enterprise IT expectations. Regionally, adoption reflects differences in reimbursement pressure, infrastructure maturity, and service readiness, yet a consistent theme emerges globally-buyers want solutions that can be implemented reliably and scaled confidently.

For stakeholders across the ecosystem, the path forward is clear: prioritize utilization, prove implementation success, build resilient operations, and deliver interoperable platforms that make outcomes visible and therapy repeatable.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Definition
1.3. Market Segmentation & Coverage
1.4. Years Considered for the Study
1.5. Currency Considered for the Study
1.6. Language Considered for the Study
1.7. Key Stakeholders
2. Research Methodology
2.1. Introduction
2.2. Research Design
2.2.1. Primary Research
2.2.2. Secondary Research
2.3. Research Framework
2.3.1. Qualitative Analysis
2.3.2. Quantitative Analysis
2.4. Market Size Estimation
2.4.1. Top-Down Approach
2.4.2. Bottom-Up Approach
2.5. Data Triangulation
2.6. Research Outcomes
2.7. Research Assumptions
2.8. Research Limitations
3. Executive Summary
3.1. Introduction
3.2. CXO Perspective
3.3. Market Size & Growth Trends
3.4. Market Share Analysis, 2025
3.5. FPNV Positioning Matrix, 2025
3.6. New Revenue Opportunities
3.7. Next-Generation Business Models
3.8. Industry Roadmap
4. Market Overview
4.1. Introduction
4.2. Industry Ecosystem & Value Chain Analysis
4.2.1. Supply-Side Analysis
4.2.2. Demand-Side Analysis
4.2.3. Stakeholder Analysis
4.3. Porter’s Five Forces Analysis
4.4. PESTLE Analysis
4.5. Market Outlook
4.5.1. Near-Term Market Outlook (0-2 Years)
4.5.2. Medium-Term Market Outlook (3-5 Years)
4.5.3. Long-Term Market Outlook (5-10 Years)
4.6. Go-to-Market Strategy
5. Market Insights
5.1. Consumer Insights & End-User Perspective
5.2. Consumer Experience Benchmarking
5.3. Opportunity Mapping
5.4. Distribution Channel Analysis
5.5. Pricing Trend Analysis
5.6. Regulatory Compliance & Standards Framework
5.7. ESG & Sustainability Analysis
5.8. Disruption & Risk Scenarios
5.9. Return on Investment & Cost-Benefit Analysis
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Multi-joint Upper Limb Rehabilitation Robot Market, by Product
8.1. Stationary
8.2. Wearable
9. Multi-joint Upper Limb Rehabilitation Robot Market, by Technology
9.1. End Effector
9.2. Exoskeleton
10. Multi-joint Upper Limb Rehabilitation Robot Market, by End User
10.1. Home Care
10.2. Hospitals
10.3. Rehabilitation Centers
11. Multi-joint Upper Limb Rehabilitation Robot Market, by Application
11.1. Bilateral
11.2. Unilateral
11.2.1. Left
11.2.2. Right
12. Multi-joint Upper Limb Rehabilitation Robot 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. Multi-joint Upper Limb Rehabilitation Robot Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Multi-joint Upper Limb Rehabilitation Robot 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. United States Multi-joint Upper Limb Rehabilitation Robot Market
16. China Multi-joint Upper Limb Rehabilitation Robot Market
17. Competitive Landscape
17.1. Market Concentration Analysis, 2025
17.1.1. Concentration Ratio (CR)
17.1.2. Herfindahl Hirschman Index (HHI)
17.2. Recent Developments & Impact Analysis, 2025
17.3. Product Portfolio Analysis, 2025
17.4. Benchmarking Analysis, 2025
17.5. Bionik Laboratories Corp.
17.6. Cyberdyne, Inc.
17.7. Ekso Bionics Holdings, Inc.
17.8. Focal Meditech BV
17.9. Fourier Intelligence Co., Ltd.
17.10. Hocoma AG
17.11. Honda Motor Co., Ltd.
17.12. Kinova Inc.
17.13. Marsi Bionics
17.14. Myomo, Inc.
17.15. Neofect Co., Ltd.
17.16. Ottobock SE & Co. KGaA
17.17. Parker-Hannifin Corporation
17.18. Reha Technology AG
17.19. ReWalk Robotics Ltd.
17.20. Steeper Group Ltd.
17.21. Tyromotion GmbH
17.22. UBTECH Robotics Corp.
17.23. Wandercraft SAS
17.24. Yaskawa Electric Corporation
List of Figures
FIGURE 1. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 2. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SHARE, BY KEY PLAYER, 2025
FIGURE 3. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET, FPNV POSITIONING MATRIX, 2025
FIGURE 4. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 5. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 6. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 7. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 8. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 9. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 10. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
FIGURE 11. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
FIGURE 12. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
List of Tables
TABLE 1. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 2. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 3. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY STATIONARY, BY REGION, 2018-2032 (USD MILLION)
TABLE 4. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY STATIONARY, BY GROUP, 2018-2032 (USD MILLION)
TABLE 5. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY STATIONARY, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 6. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY WEARABLE, BY REGION, 2018-2032 (USD MILLION)
TABLE 7. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY WEARABLE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 8. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY WEARABLE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 9. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 10. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END EFFECTOR, BY REGION, 2018-2032 (USD MILLION)
TABLE 11. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END EFFECTOR, BY GROUP, 2018-2032 (USD MILLION)
TABLE 12. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END EFFECTOR, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 13. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY EXOSKELETON, BY REGION, 2018-2032 (USD MILLION)
TABLE 14. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY EXOSKELETON, BY GROUP, 2018-2032 (USD MILLION)
TABLE 15. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY EXOSKELETON, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 16. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 17. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOME CARE, BY REGION, 2018-2032 (USD MILLION)
TABLE 18. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOME CARE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 19. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOME CARE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 20. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2032 (USD MILLION)
TABLE 21. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOSPITALS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 22. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY HOSPITALS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 23. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY REHABILITATION CENTERS, BY REGION, 2018-2032 (USD MILLION)
TABLE 24. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY REHABILITATION CENTERS, BY GROUP, 2018-2032 (USD MILLION)
TABLE 25. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY REHABILITATION CENTERS, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 26. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 27. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY BILATERAL, BY REGION, 2018-2032 (USD MILLION)
TABLE 28. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY BILATERAL, BY GROUP, 2018-2032 (USD MILLION)
TABLE 29. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY BILATERAL, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 30. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, BY REGION, 2018-2032 (USD MILLION)
TABLE 31. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, BY GROUP, 2018-2032 (USD MILLION)
TABLE 32. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 33. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 34. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY LEFT, BY REGION, 2018-2032 (USD MILLION)
TABLE 35. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY LEFT, BY GROUP, 2018-2032 (USD MILLION)
TABLE 36. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY LEFT, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 37. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY RIGHT, BY REGION, 2018-2032 (USD MILLION)
TABLE 38. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY RIGHT, BY GROUP, 2018-2032 (USD MILLION)
TABLE 39. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY RIGHT, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 40. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
TABLE 41. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 42. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 43. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 44. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 45. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 46. AMERICAS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 47. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 48. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 49. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 50. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 51. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 52. NORTH AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 53. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 54. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 55. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 56. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 57. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 58. LATIN AMERICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 59. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
TABLE 60. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 61. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 62. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 63. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 64. EUROPE, MIDDLE EAST & AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 65. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 66. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 67. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 68. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 69. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 70. EUROPE MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 71. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 72. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 73. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 74. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 75. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 76. MIDDLE EAST MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 77. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 78. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 79. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 80. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 81. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 82. AFRICA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 83. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 84. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 85. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 86. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 87. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 88. ASIA-PACIFIC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 89. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
TABLE 90. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 91. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 92. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 93. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 94. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 95. ASEAN MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 96. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 97. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 98. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 99. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 100. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 101. GCC MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 102. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 103. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 104. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 105. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 106. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 107. EUROPEAN UNION MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 108. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 109. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 110. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 111. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 112. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 113. BRICS MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 114. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 115. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 116. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 117. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 118. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 119. G7 MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 120. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 121. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 122. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 123. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 124. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 125. NATO MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 126. GLOBAL MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
TABLE 127. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 128. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 129. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 130. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 131. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 132. UNITED STATES MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)
TABLE 133. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, 2018-2032 (USD MILLION)
TABLE 134. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY PRODUCT, 2018-2032 (USD MILLION)
TABLE 135. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY TECHNOLOGY, 2018-2032 (USD MILLION)
TABLE 136. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
TABLE 137. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
TABLE 138. CHINA MULTI-JOINT UPPER LIMB REHABILITATION ROBOT MARKET SIZE, BY UNILATERAL, 2018-2032 (USD MILLION)

Companies Mentioned

The key companies profiled in this Multi-joint Upper Limb Rehabilitation Robot market report include:
  • Bionik Laboratories Corp.
  • Cyberdyne, Inc.
  • Ekso Bionics Holdings, Inc.
  • Focal Meditech BV
  • Fourier Intelligence Co., Ltd.
  • Hocoma AG
  • Honda Motor Co., Ltd.
  • Kinova Inc.
  • Marsi Bionics
  • Myomo, Inc.
  • Neofect Co., Ltd.
  • Ottobock SE & Co. KGaA
  • Parker-Hannifin Corporation
  • Reha Technology AG
  • ReWalk Robotics Ltd.
  • Steeper Group Ltd.
  • Tyromotion GmbH
  • UBTECH Robotics Corp.
  • Wandercraft SAS
  • Yaskawa Electric Corporation

Table Information