The Soft Robotics Market was valued at USD 1.30 billion in 2023 and is expected to reach USD 14.64 billion by 2032, growing at a CAGR of 30.89% over the forecast period 2024-2032. SMEs are increasingly adopting Soft Robotics due to the cost-effective and flexibility in automation we offer. There is also a trend that as the materials and actuation systems of robots get better, robots can operate much more accurately and adaptively. The market is largely influenced by global manufacturing trends like the drive for automation and the demand for scalable and safe robotic solutions. Soft robotics is adaptive, providing a wide variety of solutions for different business sectors by developing different functions of pick-and-place, packing, assembly, etc. US Soft Robotics Market 2024 Technological advancements, like AI and bio-inspired designs, are improving robot functions with enhanced precision and adaptability. The end market gain is primarily driven by global manufacturing trends, including a focus on automation and the demand for scalable and safe robotic solutions. In the upcoming years, soft robotics will advance in its scope of robot abilities for pick-and-place, packaging, and assembly processes, to provide multifunctional functions in versatile industries.
The U.S. Soft Robotics Market is estimated to be USD 0.28 Billion in 2023 and is projected to grow at a CAGR of 32.39%. The demand for automation across e-commerce, food processing, and automotive manufacturing industries is driving the soft robotics market in the U.S. Innovation is also being driven by the need for better precision, flexibility and safety for handling fragile and non-regular objects Moreover, labor shortages and increasing costs of running a business are compelling greater adoption of this technology.
Key Drivers:
Growing Demand for Soft Robotics in Healthcare Food Processing and Manufacturing Driven by Technological Advancements
Industries focusing on automation where conventional rigid robots face restrictions are driving the growth of the soft robotics market. Areas, where soft robotics excels as the demand for gentle, soft, and adaptive robotic systems grows in industries such as healthcare, food processing, and manufacturing, continue to rise. Increasing analysis of soft robots in rehabilitation, surgical assistance, and wearable devices will elevate his/her adoption in the healthcare sector and act as a major factor for growth. Also, developments in artificial intelligence, machine learning, and sensor technologies are increasing the responsiveness and intelligence of soft robotics. Furthermore, the trend to Industry 4.0 and the need for human-robot cooperative tasks are providing significant traction for soft robotic solutions, which are excellent for applications that require safety and adaptability.
Restrain:
Challenges in Soft Robotics Industry Growth Due to Lack of Standards Talent and Regulatory Barriers
A prominent factor hindering the growth of the soft robotics industry is the lack of design, testing, and performance standards. Manufacturers, meanwhile, struggle to ensure their products meet with common, widely endorsed protocols, thus prolonging regulatory clearances, particularly in sensitive areas such as health care, commercial spaceflight, transportation, and national security, where the adoption of technology is still in the early stages. Also, moving these materials into products is slow due to the absence of specialized talent and interdisciplinary expertise required for the integration of biology-derived materials with artificial intelligence (AI) algorithms and complex control systems.
Opportunity:
Emerging Economies and Technological Innovations Driving Soft Robotics Growth in Healthcare and Industrial Automation
Increasing industrial automation initiatives and healthcare infrastructure in emerging economies in Asia-Pacific and Latin America offer significant growth opportunities for the players operating in this market. New Frontiers of Soft Robotics in Minimally Invasive Surgery and Elder Care Innovations in Bio-compatible Materials and Pneumatic Actuators In addition, AI-powered control systems have great potential to create soft robots that can learn and adapt on the fly. The low energy usage of soft robotics aligned with the growing focus on sustainability and energy conservation will be especially important across various industries, propelling further market growth through the years to come.
Challenges:
Overcoming Durability and Reliability Challenges in Soft Robotics for High-Stress Environments and Applications
Considering applications of soft robotics in industries durability and reliability are also a big challenge to overcome because in high-stress or industrial environments soft robotics needs high reliability. Soft robots are different from rigid ones, they are more vulnerable to damage over time, especially under continuous load or harsh operating conditions. Moreover, environmental factors including humidity, temperature, and pressure fluctuation can impact their performance. The determination of complex control systems having very perfect, reproducible movements with soft, deformable actuators is more complicated than classical rigid systems, another major obstacle. This requires both advanced algorithms and sensing systems, both early on the evolutionary scale. The biggest challenge for companies striving to scale soft robotics to wider areas is to push past these technical limitations without compromising user safety and functional efficacy.
By Type
Soft Grippers emerged as the largest segment in the soft robotics domain with a significant market share of 37.4% in 2023 as these are extensively used in food & beverage, electronics, packaging, and many other applications. Due to their high precision and flexibility in the secure handling of delicate, irregularly shaped, or fragile items, soft grippers are widely replacing rigid grippers in automated assembly lines and quality inspection systems.
The cobot segment is projected to register the highest CAGR during 2024-2032, attributable to the rising requirement for human-robot collaboration in various environments, such as manufacturing, logistics, and healthcare. Soft robotic component co-robots facilitate easy and safe collaboration by providing human-like properties such as comfort, softness, and flexibility. Cobots make the future of smart manufacturing flexible and more productive without the overhead of human injury to work pathways, thus they are anticipated for decent adoption across global markets as industries are moving towards flexible automation.
By Component
The soft robotics market was dominated by the Hardware segment, which generated 71.3% of the total revenue in 2023. The authors attribute this dominance to the need for hardware components such as actuators, sensors, control units, and flexible materials to build soft robotic systems. These components are needed for mobility, traction, and responsiveness in healthcare, manufacturing, and food processing applications. Its existing market leadership has only been reinforced by an insatiable demand for bespoke or application-specific hardware.
The Software segment is estimated to grow at the highest CAGR from 2024 to 2032, due to the increasing incorporation of artificial intelligence, machine learning, and sophisticated control algorithms in soft robotics. Software is needed for improving motion planning, real-time decision-making, and adaptive learning in the case of soft robotic systems. With an increasing focus on an automated industry and smarter systems, the requirement for advanced software platforms will rise, which can provide more autonomous and efficient robotic functions in the different sectors.
By End User
The healthcare segment held the largest market share of 35.4% of the total soft robotics market in 2023, owing to the rising adoption of soft robotics in rehabilitation, surgical assistance, and wearable robotic devices. Soft robots are more suitable for interacting with the human body as they provide better safety, flexibility, and adaptability. The usage of those in physical therapy, assistive mobility solutions, and minimally invasive procedures is increasing collectively with the rise of healthcare investments, & development within the devices.
The segment of Advanced Manufacturing will record the highest CAGR from 2024–2032, as industries adopt smart automation and collaborative robotics. This adaptability makes soft robotics increasingly popular in precision assembly, electronics, and automotive production processes as these require the need to handle fragile components and accomplish complete tasks. Rapid penetration of soft robotics in manufacturing settings as an adoption path with a high rate will pave the transition towards Industry 4.0 and the rising need for flexible, safe, and intelligent automation solutions.
The soft robotics market in the Asia Pacific region was valued at 35.2% in 2023, owing to rapid industrialization, expanding electronics manufacturing, and growing healthcare infrastructure in the countries of China, Japan, and South Korea. With programs like Japan's "Society 5.0" and China's "Made in China 2025" promoting sophisticated automation, the region has rapidly emerged as a global center of robotics innovation. Tokyo-based Soft Robotics Co., Ltd., is developing soft actuators for rehabilitation and assistive devices, while SIASUN Robot & Automation Co of China is investigating the use of soft robotics in manufacturing. In addition, the Asia Pacific region has a good supply of engineers, as well as a strong electronics supply chain, and is expected to gain further traction,
The fastest CAGR will be experienced in North America, owing to the extremely high technology adoption rates as well as investments associated with healthcare and industrial automation. The presence of key players, such as Soft Robotics Inc. (USA), which has food-grade soft grippers for the automated packaging of food, is boosting the region's growth. On top of that the alliances between the research institutions and corporations such as MIT and Harvard in the breeding studies of growing soft robots, hold the successful future in the surgical robots development and commercial robotics wearable systems and collaborative systems, thereby fuelling growth during the forecast period.
Soft Robotics Inc. (mGrip Modular Gripper),
Festo (BionicSoftHand),
ABB (YuMi with Soft Gripper),
Shadow Robot Company (Shadow Dexterous Hand),
RightHand Robotics (RightPick),
Grabit Inc. (Electroadhesion Gripper),
ROBOTIQ (Adaptive Gripper),
Empire Robotics (Versaball Gripper),
ReWalk Robotics (ReStore Soft Exo-Suit),
XACT Robotics (XACT ACE Robot),
Vicarious Surgical (Soft Robotic Arm System),
Ekso Bionics (EksoNR with Soft Actuation),
Smart Robotics (Smart Palletizer with Soft Gripper),
Pliant Energy Systems (Velox Amphibious Robot),
Kawasaki Robotics (duAro with Soft Gripper)
In March 2025, ABB expanded its robotic Item Picking Family with new AI-powered modules Robotic Fashion Inductor and Robotic Parcel Inductor boosting automation in fashion and logistics
In May 2024, Kawasaki Robotics unveiled its new CL Series collaborative robots, designed for industrial tasks like welding and palletizing. The company also showcased AI-enabled R and BX Series robots, highlighting new partnerships and applications in manufacturing automation.
Report Attributes | Details |
---|---|
Market Size in 2023 | USD 1.30 Billion |
Market Size by 2032 | USD 14.64 Billion |
CAGR | CAGR of 30.89% From 2024 to 2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Data | 2020-2022 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • By Type (Soft Grippers, Cobots, Inflated Robots, Exoskeleton) • By Component (Hardware, Software) • By End User (Healthcare, Advanced Manufacturing, Food & Beverages, Logistics, Others) |
Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
Company Profiles | Soft Robotics Inc., Festo, ABB, Shadow Robot Company, RightHand Robotics, Grabit Inc., ROBOTIQ, Empire Robotics, ReWalk Robotics, XACT Robotics, Vicarious Surgical, Ekso Bionics, Smart Robotics, Pliant Energy Systems, Kawasaki Robotics. |
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption of Soft Robotics by SMEs
5.2 Technological Advancements
5.3 Global Manufacturing Trends Impacting Soft Robotics
5.4 Soft Robotics Market by Robot Functionality
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and Promotional Activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Soft Robotics Market Segmentation, By Type
7.1 Chapter Overview
7.2 Soft Grippers
7.2.1 Soft Grippers Market Trends Analysis (2020-2032)
7.2.2 Soft Grippers Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Cobots
7.3.1 Cobots Market Trends Analysis (2020-2032)
7.3.2 Cobots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Inflated Robots
7.4.1 Inflated Robots Market Trends Analysis (2020-2032)
7.4.2 Inflated Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Exoskeleton
7.5.1 Exoskeleton Market Trends Analysis (2020-2032)
7.5.2 Exoskeleton Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Soft Robotics Market Segmentation, By Component
8.1 Chapter Overview
8.2 Hardware
8.2.1 Hardware Market Trends Analysis (2020-2032)
8.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Software
8.3.1 Software Market Trends Analysis (2020-2032)
8.3.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Soft Robotics Market Segmentation, By End User
9.1 Chapter Overview
9.2 Healthcare
9.2.1 Healthcare Market Trends Analysis (2020-2032)
9.2.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Advanced Manufacturing
9.3.1 Advanced Manufacturing Market Trends Analysis (2020-2032)
9.3.2 Advanced Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Food & Beverages
9.4.1 Food & Beverages Market Trends Analysis (2020-2032)
9.4.2 Food & Beverages Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Logistics
9.5.1 Logistics Market Trends Analysis (2020-2032)
9.5.2 Logistics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Others
9.6.1 Others Market Trends Analysis (2020-2032)
9.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.4 North America Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.5 North America Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.6.2 USA Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.6.3 USA Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.7.2 Canada Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.7.3 Canada Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.2.8.2 Mexico Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.2.8.3 Mexico Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.6.2 Poland Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.6.3 Poland Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.7.2 Romania Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.7.3 Romania Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.4 Western Europe Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.5 Western Europe Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.6.2 Germany Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.6.3 Germany Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.7.2 France Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.7.3 France Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.8.2 UK Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.8.3 UK Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.9.2 Italy Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.9.3 Italy Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.10.2 Spain Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.10.3 Spain Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.13.2 Austria Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.13.3 Austria Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.4 Asia Pacific Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.5 Asia Pacific Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.6.2 China Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.6.3 China Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.7.2 India Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.7.3 India Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.8.2 Japan Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.8.3 Japan Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.9.2 South Korea Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.9.3 South Korea Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.10.2 Vietnam Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.10.3 Vietnam Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.11.2 Singapore Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.11.3 Singapore Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.12.2 Australia Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.12.3 Australia Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.4 Middle East Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.5 Middle East Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.6.2 UAE Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.6.3 UAE Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.4 Africa Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.5 Africa Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Soft Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.4 Latin America Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.5 Latin America Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.6.2 Brazil Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.6.3 Brazil Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.7.2 Argentina Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.7.3 Argentina Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.8.2 Colombia Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.8.3 Colombia Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Soft Robotics Market Estimates and Forecasts, By Type (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Soft Robotics Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Soft Robotics Market Estimates and Forecasts, By End User (2020-2032) (USD Billion)
11. Company Profiles
11.1 Soft Robotics Inc.
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Festo.
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 ABB.
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Shadow Robot Company.
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 RightHand Robotics.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Grabit Inc
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 ROBOTIQ.
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Empire Robotics
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 ReWalk Robotics
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 XACT Robotics
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Type
Soft Grippers
Cobots
Inflated Robots
Exoskeleton
By Component
Hardware
Software
By End User
Healthcare
Advanced Manufacturing
Food & Beverages
Logistics
Others
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Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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