Soft Robotics Market and Its Impact 2031 | A Comparative Study

Soft Robotics Market and Its Impact 2031 | A Comparative Study

November 08, 2024

Kings Research™ presents this information in its report titled, “Soft Robotics Market Size, Share & Industry Analysis,By Type (Soft Actuators, Soft Grippers, Control Systems, Sensors, Power Sources), By End Use (Consumer Electronics, Healthcare & Medical Devices, Industrial Automation, Food & Agriculture, Others), and Regional Analysis, 2024-2031"

Global Soft Robotics Market size was recorded at USD 1,442.7 million in 2023, which is estimated to be valued at USD 1,883.4 million in 2024 and is projected to reach USD 13,186.2 million by 2031, growing at a CAGR of 32.05% from 2024 to 2031.

Full Report Details and TOC @ https://www.kingsresearch.com/soft-robotics-market-1094

List of Key Companies in Soft Robotics Market

  • Oxipital AI
  • RightHand Robotics, Inc
  • Ekso Bionics
  • Lifeward, Inc
  • Yaskawa Electric Corporation
  • Bioservo
  • Festo India Private Limited
  • ROAM ROBOTICS
  • ABB
  • Omron Corporation
  •  

One of the major drivers behind the growth of the soft robotics market is the surge in demand for automation in healthcare. Soft robots offer immense potential in medical applications, particularly in surgeries and rehabilitation therapies. The human body is a complex and delicate system, and performing precise surgical operations requires both accuracy and gentleness. Soft robots provide the capability to interact with human tissues in a less invasive manner, minimizing tissue damage, improving precision in minimally invasive surgeries, and accelerating patient recovery times. In the field of rehabilitation, soft robotics are being utilized to assist patients in regaining movement after injuries or surgeries. These devices offer adjustable stiffness, which allows them to mimic human muscle movement closely, making them ideal for rehabilitation exercises.

Additionally, the market's expansion is influenced by advancements in artificial intelligence (AI) and machine learning, which are integral to the operation of soft robots. AI enables these robots to learn from their environment and adapt to various conditions in real-time, making them versatile tools in dynamic environments. In manufacturing and industrial applications, soft robots equipped with AI are proving valuable in handling delicate tasks, such as product assembly or material sorting, where traditional robots might cause damage due to their rigid structures. These advancements in AI and machine learning technologies enhance the overall efficiency and functionality of soft robots, making them highly attractive to a range of industries.

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