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1. Industry Overview: Definition, Evolution, and Scale
1.1 Core Definitions and Categories
Robot tactile sensors are key components that endow robots with the “skin perception ability,” capable of converting physical contact signals such as force, pressure, temperature, and texture into electrical signals, thereby supporting precise operations and interactions with the environment. The classification dimensions are shown in the table below:
|
Classification Dimension |
Specific Types |
Core Application Scenarios Examples |
|
Working Principle |
Resistive, capacitive, piezoelectric, optical (including visual tactile), piezoelectric, triboelectric |
Consumer electronics, industrial manufacturing, medical surgery |
|
Application Scenarios |
Industrial robots, medical robots, service robots, humanoid robots, consumer electronics (smart wearables) |
Automotive assembly, dental diagnostics, home services |
|
Product Form |
Flexible film sensors, array sensors, fingertip sensors, electronic skin (large area coverage) |
Robot dexterous hands, VR gloves, rehabilitation equipment |
1.2 Technological Evolution Path
The development of tactile sensor technology has gone through three stages: “basic perception → multimodal fusion → intelligent perception,” with core breakthroughs mainly focused on materials and integration technologies:
1.First Stage (2000 – 2015): Characterized by single-function pressure detection, using traditional metal strain gauges and ceramic materials, with limitations in both accuracy and flexibility, only meeting basic industrial needs;
2.Second Stage (2016 – 2022): The widespread adoption of nanomaterials (carbon nanotubes, graphene) and micro-nano manufacturing processes has promoted the development of flexible sensors, achieving “force + temperature” dual-modal perception;
3.Third Stage (2023 to Present): Incorporating AI algorithms and edge computing technologies, achieving “force + vibration + texture + temperature” multimodal fusion, with some products nearing the sensory capabilities of human skin (e.g., SynTouch’s BioTac sensor).
1.3 Global Market Size and Growth Forecast
According to authoritative data, the tactile sensor market is driven by humanoid robots and industrial automation, showing a rapid growth trend.
|
Indicator |
2024 Status |
2031 Forecast |
2024-2031 CAGR |
Core Driving Factors |
|
Global Market Size |
15.33 billion USD |
35.59 billion USD |
12.8% |
Mass production of humanoid robots, upgrade of industrial automation |
|
Proportion of Robot-Specific Sensors |
32% (approximately 4.91 billion USD) |
58% (approximately 20.64 billion USD) |
24.3% |
Surge in demand for humanoid robot “dexterous hands” |
|
Domestic Market Size |
42 billion RMB |
118 billion RMB |
16.1% |
Domestic substitution + advantages in consumer electronics/robotics supply chain |
Data Source: VMR, Guotai Junan Securities (2025), Zhiyan Consulting (2025)
2. Global Competitive Landscape: Overseas Market Monopoly and Domestic Enterprise Breakthroughs
2.1 Overseas Leading Enterprises: Prominent Technological Barriers, Focused on High-End Niche Markets
Overseas companies, leveraging early technological accumulation, have shown a monopoly in high-end markets such as medical and precision industries. The competitive strengths of core enterprises are compared as follows:
|
Company Name |
Country |
Core Advantages |
Core Products/ Technologies |
Main Application Areas |
Market Disadvantages |
|
Tekscan |
USA |
Leader in medical/industrial pressure sensors, high brand recognition |
Array pressure distribution sensors (including analysis software) |
Dental occlusion analysis, robot grasping force control |
High price, unable to penetrate consumer level |
|
Pressure Profile (PPS) |
USA |
High-end motion capture/human-computer interaction, strong customization |
TactileGlove tactile data gloves |
Film and television special effects (Disney), VR/AR experiences |
Niche market, reliant on large customer orders |
|
SynTouch (acquired by Meta) |
USA |
Benchmark for bionic touch, leading in multimodal fusion |
BioTac sensor (force + vibration + temperature) |
VR/metaverse tactile interaction (Meta ecosystem) |
External market inaccessible |
|
ABB / Fanuc / Yaskawa Electric |
Sweden/Japan/Japan |
Industrial robot system integrators |
Integration of third-party sensors (e.g., OnRobot) |
Industrial automation production lines |
No self-research capability, reliant on external technology |
2.2 Domestic Advantage Enterprises: Application-Driven Development, Listed Companies Accelerating Industrialization Process
Domestic enterprises have adopted “low cost and rapid response” as their core strategy, achieving breakthroughs in incremental markets such as humanoid robots and consumer electronics, with listed companies becoming the driving force behind this process.
|
Company Name |
Stock Code |
Core Advantages |
Technology/ Product Progress |
Binding Customers/ Application Scenarios |
Potential Risks |
|
Hanwei Technology (Suzhou Nengda) |
300007.SZ |
Strong in flexible material technology, robust industry-academia-research collaboration |
Nano flexible resistive sensors (electronic skin) |
Huawei, Xiaomi (consumer electronics), robot dexterous hands |
Response speed/stability needs improvement |
|
Fule New Materials (Zhejiang Ouren) |
605488.SH |
Target for humanoid robot orders |
Second-generation tactile sensors (low-cost mass production) |
Leading humanoid robot companies (orders already placed) |
Limited disclosure of technical details, reliability to be verified |
|
Keliy Sensor |
603662.SH |
Leader in industrial force control sensors, wide distribution channels |
Strain-based tactile sensors (high precision force value) |
Industrial robots, automated production lines |
Weak flexible technology, transformation speed is key |
|
Su Testing |
300416.SZ |
Advantages in sensor testing/calibration |
Mechanical testing-derived tactile sensors |
High-end testing equipment customers (expanding) |
Non-core business, limited resource investment |
|
Amperelong |
301413.SZ |
Leader in pressure sensors |
Torque sensors (adapted for humanoid robots) |
Industrial robots, robotic dogs |
New scenario verification cycle is long |
3. Comparison of Technical Routes: Advantages, Disadvantages, and Scenario Adaptability
Due to differences in principles, various technical routes exhibit significant differentiation in performance, cost, and scenario adaptability. The core comparison is as follows:
|
Technical Route |
Core Principle |
Advantages |
Disadvantages |
Cost Level |
Main Application Scenarios |
|
Resistive |
Material resistance changes with pressure |
Simple structure, high sensitivity, low cost |
Poor temperature stability, weak long-term reliability |
Low (1-10 USD/piece) |
Consumer electronics (mobile pressure sensing), entry-level robots |
|
Capacitive |
Capacitance changes with pressure |
Fast response, good temperature stability |
Complex process, weak anti-interference |
Medium (10-50 USD/piece) |
Industrial precision operations, medical surgical robots |
|
Magnetoelectric Hall Effect |
Hall effect detects changes in magnetic fields |
High accuracy, good linearity, strong anti-interference |
Large size, high cost |
High (50-200 USD/piece) |
Aerospace, heavy-load robot joints |
|
Optical (Visual Tactile) |
Camera captures deformation of elastic materials |
Multimodal (force + texture + sliding), high sensitivity |
Sensitive to environmental lighting, requires regular calibration |
Medium-high (30-80 USD/piece) |
Humanoid robot dexterous hands, VR/AR gloves |
Note: Costs are based on bulk purchase prices and may fluctuate due to specifications and production capacity.
4. Industry Chain Map and Leading Enterprises
The tactile sensor industry chain covers “upstream materials → midstream manufacturing → downstream applications,” with leading enterprises and core roles in each link as follows:
4.1 Industry Chain Structure and Core Enterprises
|
Industry Chain Link |
Core Products/ Services |
Domestic Leading Enterprises (including stock codes) |
Overseas Leading Enterprises |
|
Upstream Core Materials |
Nano flexible materials, micro-nano electrodes, optical lenses |
Sudavige (300331.SZ), Wanshun New Materials (300057.SZ), Fangda Carbon (600516.SH) |
3M, DuPont, Zeiss |
|
Midstream Sensor Manufacturing |
Flexible sensors, array sensors, electronic skin |
Hanwei Technology (300007.SZ), Fule New Materials (605488.SH), Amperelong (301413.SZ) |
Tekscan, SynTouch |
|
Downstream System Integration |
Robot bodies, smart devices |
Estun (002747.SZ), Ecovacs (603486.SH), iFlytek (002230.SZ) |
ABB, Fanuc, Meta |
4.2 Industry Chain Collaboration Cases
•Upstream – Midstream Collaboration: Sudavige (300331.SZ) customizes nano imprint films for Hanwei Technology (300007.SZ), enhancing the sensitivity of Hanwei’s flexible sensors by 30%;
•Midstream – Downstream Collaboration: Fule New Materials (605488.SH) collaborates with leading domestic humanoid robot companies for joint R&D, adapting sensors for robot dexterous hands, with a unit value reaching 8000 RMB.
5. Investment Opportunities and RisksAssessment
5.1 Core Investment Logic andTargets
|
Investment Main Line |
Core Logic |
Recommended Targets (Stock Codes) |
Key Tracking Indicators |
|
Humanoid Robot Order Implementation |
Mass production of humanoid robots is imminent, leading to a surge in sensor demand, with orders as the core validation |
Fule New Materials (605488.SH), Hanwei Technology (300007.SZ) |
New order volume, capacity release progress |
|
Domestic Substitution |
High prices of overseas high-end products, domestic enterprises breaking into the mid-to-high-end market |
Amperelong (301413.SZ), Keliy Sensor (603662.SH) |
Revenue proportion of high-end products, import substitution rate |
|
Technological Innovation |
Visual tactile and multimodal fusion as future directions, technology leaders gain an advantage |
Su Testing (300416.SZ), Hanwei Technology (300007.SZ) |
R&D investment ratio, number of patents |
5.2 RisksAlerts
1.Technology Iteration Risk: Overseas breakthroughs in bionic touch and tactile intelligence (e.g., Meta’s VR tactile interaction) may lead to domestic enterprises losing competitive advantages if R&D progress lags;
2.Order Shortfall Risk: The mass production of humanoid robots is affected by cost, technological maturity, etc. Delays in mass production will directly impact market demand for sensors (e.g., some companies’ mass production plans delayed in 2025);
3.Supply Chain Risk: High-end chips (e.g., signal processing chips) and special flexible materials rely on imports, and trade frictions may lead to supply interruptions.
6. Future Trend Outlook
1.Technological Trends: Multimodal fusion (force, temperature, texture), tactile intelligence (sensor-side edge computing), and self-powered miniaturization are becoming core development directions, with the potential to achieve “human-like skin” perception by 2027.
2.Market Trends: Humanoid robots will become the largest market increment, expected to exceed 40% by 2030; domestic enterprises, leveraging cost and capacity advantages, are expected to increase their global market share from 28% in 2024 to 45% in 2031.
3.Competitive Trends: Overseas companies focus on high-end technology fields, while domestic companies capture the mid-to-low-end market through “technology + ecosystem binding” (e.g., collaborations with Huawei, Xiaomi), forming a market structure of “high-end barriers, mid-end competition, low-end advantages.”
References
1.VMR. “Tactile Sensor Market Based on Technology, Application, and Region – Global Forecast to 2031.” 2025.
2.Guotai Haitong Securities. “In-Depth Research on the Robot Industry (Thirteen): Touch is Essential for Hands, Tactile Sensors May Welcome a Trillion Blue Ocean.” 2025.
3.Zhiyan Consulting. “2025 Development Status and Trend Analysis of China’s Tactile Sensor Industry.” 2025.
4.MarketsandMarkets. “Industrial Robot Market – Global Forecast to 2029.” 2024.
5.IDTechEX. “Flexible Electronics and Sensors 2025 – 2035.” 2025.
6.Changjiang Securities. “Sensor Industry Special Report: Tactile Sensing, the “Skin Revolution” of Humanoid Robots.” 2025.
Disclaimer
This article serves only as a reference for research on robot tactile sensors and does not constitute any investment advice, trading basis, or decision guidance. Market data and forecasts are influenced by multiple factors such as macroeconomic conditions, policy adjustments, technological iterations, and changes in downstream demand, which may differ from actual situations; the business progress and performance of listed companies should be based on official disclosures, and the analysis of companies’ businesses does not constitute a commitment to their future performance. Every effort has been made to ensure the accuracy and objectivity of the information during the writing process, but no express or implied commitment or guarantee is made regarding the completeness, timeliness, or effectiveness of the information. Any decisions made by institutions or individuals based on the content of this article are at their own risk.