Global Embodied Intelligent Robot Force Sensor Market to Reach US$2.3 Billion by 2031 at 52% CAGR, Led by Reach Machinery and Schunk

According to the latest in-depth report by QYResearch, the global Embodied Intelligent Robot Force Sensor market is projected to surge from US$ 27 million in 2024 to US$ 2,299 million by 2031, registering an extraordinary 52.0% CAGR from 2025 to 2031. The rapid growth reflects the accelerating adoption of humanoid robots across industrial, medical, educational, and service sectors, fueled by the demand for precise force sensing and compliant operations.
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Leading Companies and Competitive Landscape
Key players shaping the market include:
• Reach Machinery
• Keli Sensing Technology (Ningbo)
• ATI Industrial Automation
• Schunk
• Advanced Mechanical Technology
• Sunrise Instruments
• Kistler
• Robotiq
• Epson
The top five companies collectively capture a dominant share of global revenue, with Reach Machinery leading 2024 sales. These players are heavily investing in multi-dimensional sensor R&D and expanding production to meet surging demand.
Embodied Intelligent Robot Force Sensor Products - Technical Summaries
1. ATI Industrial Automation - Nano17 Force/Torque Sensor
• Smallest 6 axis commercially available transducer (Nano17), ideal for compact spaces
• Resolution: ~0.003 N (0.318 gf); high signal-to-noise silicon strain gauges
• Overload capacity: up to ~13.8× rated force; stainless steel construction
• Applications: surgical robotics, haptics, precision assembly, force control
2. Kistler - 9323A Multi Component Force Sensor
• Measuring Range: Fx/Fy/Fz ±5 kN; suitable for multi directional force monitoring
• High stiffness design; natural frequency >15 kHz for dynamic applications
• Integrated piezoelectric sensing, suited for robotic force feedback
• Applications: robotic assembly monitoring, crash testing, high precision force measurement
3. Schunk - FT AXIA 80 Force/Torque Sensor
• 6 axis strain gauge sensor with plug and work integration for cobots
• Measuring ranges: Fx/Fy ±200 N; Fz ±360 N; Mx/My ±8 Nm; Mz ±8 Nm
• IP64 rated; supports EtherCAT/Ethernet communication
• Applications: assembly, polishing, haptics, educational robots
4. Robotiq - FT 300 S Force/Torque Sensor
• 6 axis force/torque sensor designed for collaborative robots (cobots)
• Force range: ±300 N; Torque range: ±30 Nm; Overload up to 500% of range
• IP65 protection; plug and play integration with UR and other robotic arms
• Applications: force sensitive assembly, quality testing, polishing, machine tending
5. Reach Machinery - RM FTS 50 6 Axis Force Sensor
• Compact 6 axis force/torque sensor optimized for humanoid and service robots
• Force measurement range: Fx/Fy ±500 N; Fz ±1000 N; Torque ±50 Nm
• Lightweight alloy housing; supports CAN and EtherCAT interfaces
• Applications: humanoid robot joints, compliance control, special operation robots
Market Segmentation: Types and Applications
The market is categorized by sensor type as:
• Resistive Strain Gauge
• Piezoelectric
• Capacitive
• Photoelectric
Downstream applications driving revenue growth include:
• Special Operation Humanoid Robot
• Industrial Humanoid Robot
• Medical Humanoid Robot
• Educational Humanoid Robot
• Entertainment Humanoid Robot
• Public Service Humanoid Robot
• Home Service Humanoid Robot
Among these, special operation humanoid robots are expected to generate the fastest revenue growth through 2031, supported by defense, disaster response, and high risk field applications.
Regional Outlook
The market demonstrates strong geographical expansion:
• North America - Driven by industrial automation and robotics R&D in the U.S.
• Asia-Pacific - China, Japan, and South Korea lead growth; APAC dominates by volume and innovation capacity.
• Europe - Germany and France spearhead adoption in precision manufacturing and collaborative robotics.
• South America & MEA - Emerging markets with rising investment in service robots and smart factories.
Latest Trends and 2025 Industry Highlights
EngineAI's PM01 Performs World First Front Flip
In February 2025, Shenzhen based EngineAI made headlines when its latest humanoid, the PM01, executed the world's first front flip by a humanoid robot. The stunt, captured in video footage, showcased exceptional dynamic balance, precise torque control, and sophisticated perception systems. The event demonstrated that force feedback and motion coordination have matured to allow advanced acrobatic feats in compact platforms (PM01 stands approximately 138 cm tall and weighs around 40 kg), underscoring the convergence of force-sensing hardware and real-time control algorithms.
Figure AI Opens BotQ: Robots Building Robots
In March 2025, Figure AI inaugurated its groundbreaking BotQ factory in California, designed to produce up to 12,000 humanoid robots annually. The facility leverages its own robots-equipped with high precision force sensors-to assist in assembly, demonstrating end-to-end automation and scalability. This marks one of the first large-scale integrations of force-sensing systems into manufacturing lines, enabling real-time compliance checks and quality control during robot self-assembly.
Advances in Six-Axis Optical and Inductive Sensors
Breakthroughs in sensor technology are redefining force-sensing capabilities. In early 2025, research groups introduced novel non-contact six-axis sensors employing photocouplers and inductive methods, tailored for legged robots. These designs offer enhanced durability, reduced weight, improved sensitivity, and greater resistance to overload compared to traditional strain-gauge sensors. Performance benchmarks include resolutions down to ~0.03 N and signal bandwidth up to ~4 kHz, enabling precise force control in dynamic environments such as walking, gripping, and agile manipulation.
Integration of Tactile Vision Sensors & Real Time Compliance
Vision-based tactile sensors like DenseTact 2.0 and 9DTact are being widely adopted, offering combined shape reconstruction and six-axis force estimation using optical deformation imaging. These sensors enable robots to understand surface contact, pressure distribution, and grasp stability in real time-essential for manipulation of delicate or irregular objects. Innovations in neural network calibration and transfer learning allow rapid deployment across robot platforms with minimal retraining effort, achieving shape accuracy ≈0.36 mm/pixel and force accuracy ≈0.41 N.
Embodied AI Control: LLM Driven Force Aware Manipulation
Embodied AI frameworks that unify force feedback with large language model (LLM) reasoning are emerging in 2025. By integrating tactile data, vision, and symbolic planning, robots can perform tasks such as precision assembly and medical assistance with adaptive compliance and dynamic decision making. This trend signals a shift from pure motion control toward sensorimotor-aware autonomy, where force signals tightly loop into planning and safety control layers.
Market Dynamics Beyond CAGR
While CAGR figures signal impressive growth-such as the six-axis sensor market projected to reach hundreds of millions of USD by 2025 with ~40% annual growth-other trends are equally noteworthy. Miniaturization of sensor form factors is accelerating adoption in mobile and wearable robots. The proliferation of multimodal grippers combining force, vision, IMU, and time-of-flight sensors expands tactile perception. Collaborative manufacturing setups, such as BotQ, are embedding force feedback loops into industrial-grade production. Additionally, rising robot shipment volumes-estimated at 5,000-10,000 humanoids in China during 2025-are creating scale economies for sensor suppliers and integrators.
Confirmed Downstream Customers of Embodied Intelligent Robot Force Sensors
The following companies have been publicly reported to integrate or deploy force torque sensors (e.g. six axis or multi axis load cells) in humanoid robots or robotic systems, based on reputable sources.
• Amazon
• FANUC
• ATI Industrial Automation
• Foxconn (Hon Hai Precision)
• Novanta
• Hota
• LeaderDrive
• Shuanghuan
• Nabtesco
• NXP Semiconductor
• Intel
• Alibaba
• Interface
• Link touch Technology
• OnRobot
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Growth Drivers
Key factors propelling the market include:
1. Rising deployment of industrial and service humanoid robots worldwide.
2. Demand for multi-dimensional force measurement to enhance safety and dexterity.
3. Advancements in sensor miniaturization and AI-driven control systems.
4. Growing investment in robotic automation and emerging markets.

With the market forecasted to grow nearly 85 times by 2031, embodied intelligent robot force sensors are poised to become a critical component of the global robotics ecosystem. Companies that invest in multi-dimensional sensing, AI integration, and mass production will be best positioned to capture the booming demand across industrial, medical, and home service applications.

Chapter Outline:

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: key insights, key emerging trends, etc.
Chapter 3: Manufacturers competitive analysis, detailed analysis of the product manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 5 & 6: Sales, revenue of the product in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 7: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: The main points and conclusions of the report.

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