Humanoid Robot Multi-fingered Dexterous Hand Market Summary
Dexterous hand is a new type of end effector of robot. Generally speaking, the ways of robot interaction with the environment mainly include: moving and walking, obtaining information such as vision, and executing and outputting decisions. End effector is a general term for the robot's execution parts. It is generally installed at the end of the robot's wrist and is a device that directly executes tasks. As the last link and execution part of the interaction between the robot and the environment, the end effector plays an extremely important role in improving the flexibility and ease of use of the robot. The quality of its performance largely determines the working performance of the entire robot.
The dexterous hand of humanoid robot is a special end effector designed based on the kinematics of human hand. Unlike the end effector of industrial robot, which has poor versatility and can only complete specific tasks such as welding and painting, the dexterous hand has universal grasping ability. The basic characteristics are at least 3 fingers, each finger has at least 3 degrees of freedom with axes that are not completely parallel, and usually integrates multiple sensors such as force sense and proximity sense.
Multi-finger dexterous hand: The mechanism is multi-finger and multi-joint, and the most common is 3 to 5 fingers, each finger has 3 joints, and the kinematic pairs of the finger joints are all revolute pairs. The main driving methods of dexterous hands include 4 types: hydraulic drive, motor drive, pneumatic drive, and shape memory alloy drive. For example, the Okada dexterous hand of Japan's "Electronic Technology Laboratory", the Stanford/JPL dexterous hand successfully developed by Stanford University in the United States, and the Utah/MIT dexterous hand jointly developed by the Massachusetts Institute of Technology and the University of Utah.
The robot multi-finger dexterous hand has received continuous R&D investment and widespread attention because it can imitate the various dexterous grasping and complex operation capabilities of human hands. From the perspective of application fields, the fields where dexterous hands have achieved mature applications are mainly medical and industrial fields.
Humanoid Robot Multi-fingered Dexterous Hand
According to the new market research report “Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030”, published by QYResearch, the global Humanoid Robot Multi-fingered Dexterous Hand market size is projected to reach USD 5040 million by 2030, at a CAGR of 64.6% during the forecast period.
Figure. Global Humanoid Robot Multi-fingered Dexterous Hand Market Size (US$ Million), 2019-2030
Humanoid Robot Multi-fingered Dexterous Hand
Above data is based on report from QYResearch: Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.
Figure. Global Humanoid Robot Multi-fingered Dexterous Hand Top 16 Players Ranking and Market Share (Ranking is based on the revenue of 2023, continually updated)
Humanoid Robot Multi-fingered Dexterous Hand
Above data is based on report from QYResearch: Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.
According to QYResearch Top Players Research Center, the global key manufacturers of Humanoid Robot Multi-fingered Dexterous Hand include Shadow Robot, Tesla (Optimus), Beijing Inspire Robots Technology, BrainCo, SCHUNK, etc. In 2023, the global top five players had a share approximately 47.0% in terms of revenue.
According to QYResearch Top Players Research Center, the global key manufacturers of Humanoid Robot Multi-fingered Dexterous Hand include Shadow Robot, Tesla (Optimus), Beijing Inspire Robots Technology, BrainCo, SCHUNK, OYMotion Technologies, Clone Robotics, Agile Robots, Qbrobotics, Tokyo Robotics, etc. In 2023, the global top 10 players had a share approximately 63.0% in terms of revenue.
Figure. Humanoid Robot Multi-fingered Dexterous Hand, Global Market Size, Split by Product Segment
Humanoid Robot Multi-fingered Dexterous Hand

Based on or includes research from QYResearch: Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030.
In terms of product type, currently Built-in is the largest segment, hold a share of 57.6%.
Figure. Humanoid Robot Multi-fingered Dexterous Hand, Global Market Size, Split by Application Segment
Humanoid Robot Multi-fingered Dexterous Hand

Based on or includes research from QYResearch: Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030.
In terms of product application, currently Medical is the largest segment, hold a share of 87.1%.
Figure. Humanoid Robot Multi-fingered Dexterous Hand, Global Market Size, Split by Region
Humanoid Robot Multi-fingered Dexterous Hand
Based on or includes research from QYResearch: Global Humanoid Robot Multi-fingered Dexterous Hand Market Report 2024-2030.
Main driving factors:
(1) Dexterous hands are a new type of end effector for robots. Generally speaking, the ways in which robots interact with the environment mainly include: moving and walking, obtaining information such as vision, and executing and outputting decisions. End effector is a general term for the robot's execution parts. It is generally installed at the end of the robot's wrist and is a device that directly executes tasks. As the final link and execution part of the interaction between the robot and the environment, the end effector plays an extremely important role in improving the flexibility and ease of use of the robot. The quality of its performance largely determines the working performance of the entire robot.
(2) The demand for humanoid robot multi-finger dexterous hands in the fields of surgical assistance, rehabilitation treatment, patient care and companionship is increasing. With the aging of the population and the shortage of medical resources, this demand will become more urgent. At the same time, in the manufacturing industry, multi-finger dexterous hands can perform complex assembly and processing tasks, improving production efficiency and product quality.
Main obstacles:
The sales price of existing robot multi-finger dexterous hands is generally high. For example, the HIT/DLR dexterous hand developed by Harbin Institute of Technology and German Aerospace Center is priced at more than RMB 900,000, the Shadow Dexterous Hand is priced at about US$300,000, and the SVH five-fingered hand of German SCHUNK is priced at more than RMB 700,000. The high price is a major obstacle to promotion and application, and many multi-fingered hand products are only used for scientific research and application-based development in scientific research laboratories. In recent years, various scientific research institutions have begun to invest in the research and development of low-cost robotic multi-fingered hands, and have carried out low-cost design and manufacturing from the aspects of materials, processing methods, drive devices, and sensing devices. Some prototypes have been developed, but their flexibility, perception richness, and reliability are generally low. Therefore, how to achieve a reasonable balance between performance and cost is also a topic worth studying.
During the physical interaction and tactile exploration of the robot hand and the object, the safety of the robot hand and its surrounding environment needs to be guaranteed. On the one hand, while collecting tactile signals in a timely manner and transmitting them to the controller, it is also necessary to have the ability to avoid unnecessary harm. On the other hand, since the object model is unknown, the robot may violate some key constraints. If accidental damage occurs during the exploration process, a certain degree of self-healing and stretching ability can ensure the safety of the system.
Because the surface of the hand is usually irregular, flexible sensors are easier to integrate with the surface of the hand than rigid sensors. Flexible sensors can be placed on the entire palm surface instead of fingertips, and the contact information is richer. Other properties of tactile sensors also need to be further improved, such as self-healing ability and self-power. Tactile sensors with self-healing ability can improve their adaptability to non-structural environments.

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