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Soft Robotics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2025-2034

Publisher Global Market Insights
Published Dec 09, 2025
Length 197 Pages
SKU # GMI20694365

Description

The Global Soft Robotics Market was valued at USD 1.9 billion in 2024 and is estimated to grow at a CAGR of 34.5% to reach USD 34.7 billion by 2034.

The exceptional growth is driven by rapid advancements in artificial intelligence (AI), machine learning (ML), and flexible material science, which are enabling robots to safely interact with humans and handle delicate, irregular, or fragile objects. Soft robotics systems are increasingly deployed across manufacturing, healthcare, logistics, food processing, and automotive industries to improve operational efficiency, reduce product damage, and address labor shortages. The growing need for gentle automation, human–robot collaboration, and adaptable robotic solutions is further accelerating adoption. Continuous innovation in embedded sensing, soft actuators, and bio-inspired designs is expanding application areas, making soft robotics a critical component of next-generation automation strategies.

By type, the inflatable robots segment generated USD 576.8 million in 2024. Inflatable robots are widely preferred due to their lightweight structure, high flexibility, and ability to operate safely in proximity to humans. These robots are extensively used in industrial automation, medical assistance, and service robotics, where compliance and safety are paramount. Their capability to perform complex movements while maintaining structural softness makes them ideal for applications such as patient support, rehabilitation, and delicate material handling. Continuous improvements in pneumatic control systems, durability of flexible materials, and integration with AI-driven motion control are strengthening the dominance of inflatable robots in the global soft robotics landscape.

By component, the soft actuators reached USD 653.3 million in 2024. Soft actuators form the backbone of soft robotic systems, enabling smooth, human-like motion and precise force control. Their widespread adoption is driven by their ability to mimic biological muscles, allowing robots to grip, lift, and manipulate objects with high accuracy while minimizing the risk of damage. Industries such as manufacturing, logistics, and healthcare are increasingly integrating soft actuators to enhance productivity and safety. Ongoing advancements in electroactive polymers, pneumatic actuators, and shape-memory materials are further improving performance, energy efficiency, and reliability, reinforcing the segment’s leading position.

North America Soft Robotics Market accounted for USD 570.5 million in 2024, supported by strong investments in industrial automation, healthcare robotics, and research & development. The region benefits from early adoption of advanced robotic technologies, a strong presence of leading automation companies, and extensive collaboration between technology providers, research institutions, and end users. The increasing use of soft robotics in medical devices, warehouse automation, and collaborative industrial robots is driving sustained growth. Favorable funding environments and continuous innovation in AI-enabled robotic systems further position North America as a key revenue-generating region in the global market.

Key players operating in the Global Soft Robotics Market include ABB, Universal Robots, Fanuc Corporation, Yaskawa Electric Corporation, Festo AG, Soft Robotics Inc. (Schmalz), OnRobot A/S, Clearpath Robotics, Empire Robotics, and F&P Robotics AG, among others. These companies are actively strengthening their portfolios through innovation, strategic partnerships, and global expansion. Companies in the Soft Robotics Market are focusing heavily on technological innovation and product differentiation to strengthen their market position. Major players are investing in AI- and ML-enabled control systems to enhance adaptability, precision, and autonomous decision-making capabilities. Strategic partnerships with automation integrators, healthcare providers, and logistics companies are being used to accelerate real-world deployment and expand application reach. Firms are also emphasizing modular and scalable robotic platforms, allowing easier integration into existing workflows and reducing deployment costs for end users.

Table of Contents

197 Pages
Chapter 1: Methodology
1.1. Research Design
1.1.1. Research approach
1.1.2. Data collection methods
1.2. Base estimates and calculations
1.2.1. Base year calculation
1.2.2. Key trends for market estimates
1.3. Forecast model
1.4. Primary research & validation
1.4.1. Some of the primary sources (but not limited to):
1.4.2. Inputs from primary interviews:
1.5. Data Mining
1.5.1. Secondary Sources
1.5.1.1. Paid Sources
1.5.2. Public Sources
1.5.2.1. Sources, by region
Chapter 2: Executive Summary
2.1. Industry snapshot
2.2. Business trends
2.3. Type trends
2.4. Component trends
2.5. Material trends
2.6. Application trends
2.7. Regional trends
2.8. TAM Analysis, 2025-2034 (USD Billion)
2.9. CXO perspectives: Strategic imperatives
2.9.1. Executive decision points
2.9.2. Critical Success Factors
2.10. Future Outlook and Strategic Recommendations
Chapter 3: Industry Insights
3.1. Industry snapshot
3.1.1. Raw Material & Component Suppliers
3.1.2. Manufacturers
3.1.3. Technology Provider
3.1.4. Distributors
3.1.1. End Users
3.1.2. Supplier Landscape
3.1.3. Profit Margin
3.1.4. Cost structure
3.1.5. Value addition at each stage
3.1.6. Factor affecting the value chain
3.1.7. Disruptions
3.2. Industry impact forces
3.2.1. Growth Drivers
3.2.1.1. IoT-Driven Integration and Automation
3.2.1.2. Technological Advances in Materials and AI
3.2.1.3. Aging Populations and Healthcare Demands
3.2.1.4. Need for Gentle Automation and Labor-Saving Solutions
3.2.1.5. Expansion in E-commerce and Warehouse Automation
3.2.2. Pitfalls & challenges
3.2.2.1. Limited durability and strength
3.2.2.2. Material Durability & Environmental Constraints
3.2.3. Opportunities
3.2.3.1. Expansion in Healthcare, Rehabilitation, and Assistive Wearables
3.2.3.1. High-Growth Adoption in Logistics, Food Handling, and Manufacturing Automation
3.3. Growth Potential
3.4. Porter’s Analysis
3.5. PESTEL Analysis
3.6. Regulatory landscape
3.7. Technology and Innovation Landscape
3.7.1. Current Technological Trends
3.7.2. Emerging Technologies
3.8. Price Trends
3.8.1. By Region
3.8.2. By Product
3.9. Pricing Strategies
3.10. Emerging Business Models
3.11. Compliance Requirements
3.12. Sustainability Measures
3.13. Consumer Sentiment Analysis
3.14. Patent and IP Analysis
3.15. Geopolitical and Trade Dynamics
Chapter 4: Competitive Landscape, 2024
4.1. Competitive Landscape
4.2. Company market share analysis, 2024
4.2.1. Market Concentration Analysis
4.3. Competitive analysis of the key market players
4.3.1. Financial Performance Comparison
4.3.1.1. Revenue
4.3.1.2. Profit Margin
4.3.1.3. R&D 68
4.3.2. Product Portfolio Comparison
4.3.2.1. Product Range Breadth
4.3.2.1. Technology
4.3.2.2. Innovation
4.3.3. Geographic Presence Comparison
4.3.3.1. Global Footprint Analysis
4.3.3.2. Service Network Coverage
4.3.3.3. Market Penetration by Region
4.4. Strategic Initiative
4.4.1. Artimus Robotics Inc.
4.4.2. Beijing Soft Robotics Technology Co.
4.4.3. Universal Robots
4.4.4. Fanuc Corporation
4.4.5. ABB
4.4.6. Righthand Robotics
4.4.7. Clearpath Robotics Inc
4.4.8. Soft Robotics Inc. (Schmalz)
4.5. Competitive Positioning Matrix
4.6. Strategic Outlook Matrix
Chapter 5: Soft robotics Market, By Type
5.1. Type Key Trends
5.2. Soft Grippers
5.2.1. Pneumatic grippers
5.2.2. Electroadhesive grippers
5.2.3. Suction-Based Grippers
5.3. Inflatable Robots
5.4. Exoskeletons
5.4.1. Medical rehabilitation suits
5.4.2. Industrial ergonomic suits
5.4.1. Industrial ergonomic suits
5.4.1. Military Exosuits
5.4.1. Others
5.5. Wearables
5.6. Others
Chapter 6: Soft robotics Market, By Component
6.1. Component Key Trends
6.2. Soft Actuators
6.3. Soft sensors
6.4. Control systems
6.5. Power sources
6.6. Others
Chapter 7: Soft robotics Market, By Material Category
7.1. Material Key Trends
7.2. Elastomers
7.3. Gels
7.4. Fabrics
7.5. Others
Chapter 8: Soft robotics Market, By Application
8.1. Application Key Trends
8.2. Medical and Healthcare
8.3. Food and beverages
8.4. Logistics
8.5. Automotive
8.6. Agriculture
8.7. Others
Chapter 9: Soft robotics Market, By Region
9.1. Regional Key Trends
9.2. North America
9.3. Europe
9.4. Asia Pacific
9.5. Latin America
9.6. Middle East & Africa (MEA)
Chapter 10: Company Profile
10.1. ABB Group
10.1.1. Financial Data
10.1.2. Product Landscape
10.1.3. Strategic Outlook
10.1.4. SWOT Analysis
10.2. Artimus Robotics Inc.
10.2.1. Financial Data
10.2.2. Product Landscape
10.2.3. Strategic Outlook
10.2.4. SWOT Analysis
10.3. Beijing Soft Robotics Technology Co.,
10.3.1. Financial Data
10.3.2. Product Landscape
10.3.3. Strategic Outlook
10.3.4. SWOT Analysis
10.4. Clearpath Robotics Inc
10.4.1. Financial Data
10.4.2. Product Landscape
10.4.3. Strategic Outlook
10.4.4. SWOT Analysis
10.5. Cyberdyne Inc.
10.5.1. Financial Data
10.5.2. Product Landscape
10.5.3. Strategic Outlook
10.5.4. SWOT Analysis
10.6. Empire Robotics
10.6.1. Financial Data
10.6.2. Product Landscape
10.6.3. SWOT Analysis
10.7. F&P Robotics AG
10.7.1. Financial Data
10.7.2. Product Landscape
10.7.3. SWOT Analysis
10.8. Fanuc Corporation
10.8.1. Financial Data
10.8.2. Product Landscape
10.8.3. Strategic Outlook
10.8.4. SWOT Analysis
10.9. Festo AG
10.9.1. Financial Data
10.9.2. Product Landscape
10.9.1. SWOT Analysis
10.10. iCobots
10.10.1. Financial Data
10.10.2. Product Landscape
10.10.3. SWOT Analysis
10.11. OnRobot A/S
10.11.1. Financial Data
10.11.2. Product Landscape
10.11.3. SWOT Analysis
10.12. ReWalk Robotics
10.12.1. Financial Data
10.12.2. Product Landscape
10.12.3. SWOT Analysis
10.13. Righthand Robotics
10.13.1. Financial Data
10.13.2. Product Landscape
10.13.3. Strategic Outlook
10.13.4. SWOT Analysis
10.14. Soft Robotics Inc. (Schmalz)
10.14.1. Financial Data
10.14.2. Product Landscape
10.14.3. Strategic Outlook
10.14.4. SWOT Analysis
10.15. Somnox
10.15.1. Financial Data
10.15.2. Product Landscape
10.15.3. Strategic Outlook
10.15.4. SWOT Analysis
10.16. SpectroPlast
10.16.1. Financial Data
10.16.2. Product Landscape
10.16.3. SWOT Analysis
10.17. Squishy Robotics
10.17.1. Financial Data
10.17.2. Product Landscape
10.17.3. SWOT Analysis
10.18. Ubiros, Inc
10.18.1. Financial Data
10.18.2. Product Landscape
10.18.3. Strategic Outlook
10.18.4. SWOT Analysis
10.19. Universal Robots
10.19.1. Financial Data
10.19.2. Product Landscape
10.19.3. Strategic Outlook
10.19.4. SWOT Analysis
10.20. Yaskawa Electric Corporation
10.20.1. Financial Data
10.20.2. Product Landscape
10.20.3. Strategic Outlook
10.20.4. SWOT Analysis
Chapter 11: Appendix
11.1. Market Definitions

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