US Robotic Sensors Market 2025 – 2034

Reports Description

As per the US Robotic Sensors Market analysis conducted by the CMI team, the US robotic sensors market is expected to record a CAGR of 8.13% from 2025 to 2034. In 2025, the market size was USD 367.32 Million. By 2034, the valuation is anticipated to reach USD 738.57 Million.

Overview

Preference for automation across various end-use industries is one of the factors catalyzing the US robotic sensors market. Using robots does reduce labor needs, thereby raising the accuracy quotient as well. The industries are seeking solutions for automating several tasks while cutting down on human errors.

The healthcare, manufacturing, logistics, and defense verticals are increasingly adopting robots into the operations for reducing the overheads. Several industries are switching over to smart manufacturing, which is expected to boost the market.

Healthcare robots segment is poised to register noteworthy growth in the near future. This could be attributed to the rise in the need for help in delivering various healthcare services. Such robots automate tasks such as reducing the burden of work on healthcare staff. Robotic surgery is already occupying a major market share.

Key Trends & Drivers

• Use of Robots in Defense Sector for Intelligence, Surveillance, and Reconnaissance (ISR)

Robots come with in-built sensors, which aid in performing a higher variety of tasks, right from sniper selection to effective target acquisition activities. The defense organizations are into the deployment of sensors in various security systems, intrusion detection systems, explosives detection systems, civil establishments for propulsion, crime detection systems, site monitoring, flight controls, communication purposes, and weaponry controls.

In July 2020, Huntington Ingalls Industries, Inc. announced that it had invested USD 15 Million in Sea Machines Robotics, Inc. with the objective of strengthening its footprints in the autonomous shipping developments in Europe and Asia. The company, through this investment, has taken a notable stride in robotics and unmanned technology.

• Rise in Deployment of Autonomous Mobile Robots in Warehouses

Autonomous mobile robots (AMRs) make use of robotic sensors as well as software solutions for delivering inventories in and around the warehouse. Position sensors, ultrasonic sensors, and angle sensors are amongst the sensors used in warehouse robots. Such sensors aid in the generation of precise data on lift position, 3D orientation, navigation direction, and gripper angle, thereby allowing safe and smooth operation. AMRs, along with the picking and sorting process, also help in the conduction of daily inventory checks.

What’s trending in the US Robotic Sensors Market?

There is a rising demand for collaborative robots (cobots) and convergence of the IoT with robotic sensors. The cobots are designed for working safely with humans and strongly rely on the advanced sensors for proper human-robot interaction and avoidance of collision. Plus, integrating IoT connectivity facilitates seamless sharing of data and remote monitoring of the robotic systems, thereby resulting in optimized performance through predictive maintenance. The focus on energy sufficiency and sustainability in sensor design is also gaining prominence, thereby syncing with the environmental goals on the whole.

Key Threats

• Limited Shelf Life and Range of Sensors

Even though sensors have a wide variety of applications, limited range and narrow bandwidth do render it impossible for the sensors to capture data from remote and distant locations. Furthermore, robotic sensor implementations do rely on various electric resources. In cases of low power, it is crucial to facilitate sensors’ continuous functioning.

The sensors mentioned above are also known for having a shelf life of six months to one year based on the type of application they cater to. As such, it could be hectic for maintenance teams to have these sensors reinstalled in the robotic solutions.

These factors could hamper the US robotic sensors market.

Opportunities

Robotic surgery is gaining popularity. With the healthcare sector increasingly emphasizing automation, adoption of robots is increasing to facilitate efficient execution of surgeries. Surgical robots do help the surgeons in performing various complex surgeries, thereby improving precision. This, in turn, does reduce recovery time and improves patient outcomes. Autonomous robots could be used in the hospitals for helping patients needing urgent treatment.

Category Wise

By Sensor Type

• Vision Sensors

Vision sensors, as the name suggests, help robots to see, interpret, and interact with the environment. In other words, vision sensors help the robots in perceiving their surroundings, identifying the objects, and navigating complex environments, thereby mimicking the human way of seeing things. This, in turn, lets robots perform tasks that need dexterity and precision, such as assembly, object manipulation, and quality inspection, which had been tough to automate before.

• Force/Torque Sensors

Force/torque sensors let robots measure torques and applied forces, which are important for tasks such as polishing, assembly, and inspection, particularly in the collaborative robots where it involves human-robot intervention.

Force/torque sensors do provide real-time feedback on the moments and forces, thereby letting robots perform tasks with a higher degree of precision such as precise assembly and insertion. They also help with hand-guiding, in which human workers could move the robots by application of force that could be used to teach robots new trajectories or tasks.

• Inertial Measurement Units

Inertial measurement units (IMUs) facilitate precise navigation as well as control in several robotic applications. They provide critical data regarding the orientation, acceleration, and velocity of a robot, thereby allowing for precise positioning and movement in the dynamic environments, even though GPS is unavailable. The capacity is important with regard to the growing adoption of autonomous mobile robots (AMRs).

• Encoders

Encoders do convert mechanical motion into electrical signals, thereby allowing robots to execute tasks with a higher level of precision. The higher resolution encoders do exercise precise control, which is vital for complex robotic operations. This is vital in the manufacturing vertical, wherein the robots are needed to perform various intricate tasks with fewer errors. Advanced technologies such as enhanced power efficiency and miniaturization allow for more energy-efficient and compact robots.

• Laser Sensors

Laser sensors offer measurements of higher precision, which are vital for tasks such as assembly, robotic welding, and quality control. For instance, laser sensors in robotic welding facilitate real-time seam tracking, thereby ascertaining consistency in weld quality in spite of variations in the workpiece. They also facilitate exact alignment and positioning in the automated manufacturing processes. Laser sensors are used in automated guided vehicles (AGVs) for avoidance of obstacles, navigation, and precise positioning, which help in efficient handling of materials in factories and warehouses.

• Ultrasonic Sensors

Ultrasonic sensors cost less than the other types of sensors, which renders them accessible to a broader spectrum of robotic applications, right from start-ups to big industrial facilities. Their compact size and lower power consumption also contribute to their use at the larger scale.

Ultrasonic sensors, unlike certain optical sensors, are capable of operating effectively in several environmental conditions, inclusive of the ones with dirt, dust, and moisture. They can also work in dark or low-light environments, in which visual sensors might struggle.

By Application

• Industrial Robotics

Increase in the number of smart factories, along with the adoption of automation across logistics, manufacturing, and warehousing, is driving the demand for robotic sensors. Industrial robots that are equipped with advanced sensors are executing complex, repetitive, or hazardous tasks, thereby resulting in improved safety, enhanced quality, and higher productivity.

• Healthcare Robotics

Robotics-assisted surgery does rely heavily on numerous sensors for providing the surgeons with improved precision, visualization, and dexterity. For instance, ultrasound sensors are used in the robotic systems for accurate diagnostic imaging. Wearable sensors are found in exoskeletons/assistive devices to monitor the movements of patients and provide data for personalized therapy. There are also pressure sensors that monitor the pressure on organs and tissues.

• Military and Defense Robotics

Military robots need sophisticated sensors for surveillance, reconnaissance, target acquisition, and combat as well. The demand does drive research and development activities in areas such as high-resolution imaging, advanced navigation, chemical, biological, and radiological (CBR) detection, and the like. Advancements in the sensor technology for military drones could be adapted for various civilian applications such as logistics, infrastructure inspection, and agriculture.

• Consumer Robotics

Consumer robots such as robotic vacuum cleaners, educational robots, and lawnmowers use several sensors for object detection, navigation, and interaction. This does create a visible demand for sensors such as cameras, LiDAR, proximity sensors, and ultrasonic sensors, thereby driving the development of affordable and sophisticated options.

• Commercial Robotics

Shift toward Industry 4.0 coupled with growing automation in manufacturing, asks for a higher level of precision and efficiency, which has resulted in an increasing demand for robots. The robotic sensors are important for facilitating robots to execute tasks by interacting with their environment and carrying out specified functions at the commercial level. For instance – commercial complexes and malls.

By Technology

• MEMS-based

MEMS-based sensors enhance the scalability of IoT solutions by making available energy-efficient, low-cost sensors that could be embedded in a broad spectrum of devices. Their role in real-time monitoring and predictive maintenance would be driving expansion of IoT in agriculture, manufacturing, and logistics.

• Optical

Optical sensors are providing improved precision through non-contact measurement with the ability to operate in harsh environments. This factor is driving adoption of robotic sensors in several sectors, such as the industrial, automotive, and medical sectors. Non-contact nature also helps with measurements in the environments where it is problematic or almost impossible to have physical contact.

• Capacitive

Capacitive sensors do offer precision in the detection of proximity and touch, which is important for the robots to perform tasks with higher dexterity. In industrial settings, this means having more reliable and efficient automation, whereas in healthcare, it facilitates safer diagnostic and surgical procedures.

• Inductive

Inductive sensor technology contributes to the expansion of the US robotic sensors market by offering non-contact, reliable detection of metallic objects, which is vital for several robotic applications. Their ability to operate in the harsh environments renders them suitable for a broad range of robotic systems, right from industrial automation to healthcare robotics.

• Piezoelectric

Rise in applications of piezoelectric sensors in the medical sector, particularly for imaging and diagnostics technologies, and growing adoption of the piezoelectric sensors for robotics, machine monitoring, and industrial automation are driving the market for robotic sensors.

By Interface

• Analog

Analog interfaces do serve as a bridge between digital processing units and analog sensors, thereby letting robots understand real-world data such as pressure, temperature, and position and respond accordingly. This capacity is crucial for various advanced robotic applications that are inclusive of healthcare, industrial automation, and autonomous vehicles.

• Digital

Digital interfaces provide seamless integration and enhanced functionality. They include IO-Link and the other digital communication protocols, which let sensors connect with robotic platforms, AI-driven analytics, and cloud systems. This facilitates real-time monitoring, enhanced decision-making, and predictive maintenance.

• Wireless

Wireless interfaces facilitate higher level of flexibility, connectivity, and mobility in the robotic systems. This lets complex tasks, remote control and monitoring, and integration with the IoT get executed better, thereby leading to increased efficiency and productivity. Wireless interfaces do away with the requirements for physical cables, thereby allowing the robots to move freely.

Robotic Platform

• Mobile Robots

Mobile robots rely on sensors such as LiDAR, depth sensors, and also cameras for mapping, navigation, and obstacle avoidance. This reliance does drive demand for high-precision sensor technologies. Integrating sensors with mobile robots extends to several applications, such as logistics, material handling, agriculture, and healthcare.

• Industrial Robots

Industrial robots do rely on sensors for various tasks such as collision avoidance, object detection, and accurate movements. Moreover, integrating AI with robotic sensors allows for pattern recognition, adaptive learning, and real-time decision-making. This results in the development of more responsive and intelligent robots.

• Collaborative Robots

Collaborative robots (cobots) are designed to work alongside humans, which rely on sensors for tasks such as force feedback, collision detection, and object recognition, thereby fueling growth of robotic sensors market in the US They come with sensors such as force/torque sensors, vision systems, and proximity sensors for ensuring safe interaction with the human workers.

• Humanoid Robots

Humanoid robots are driven by advancements in sensors, AI, and actuators, facilitating lifelike interaction and movement. They support sectors such as retail, healthcare, and education with rise in demand for human-like automation. Sensors in humanoid robots are used for recognizing objects and determining properties.

How does integration of AI with robotic systems affect the US robotic sensors market?

AI algorithms are transforming the way sensors process data, thereby letting robots interpret complex environmental cues and make real-time, autonomous decisions by recognizing patterns. This synergy is important for drones and autonomous vehicles, advanced robotics, and the like, thereby facilitating the machines to adapt to dynamic environments with superlative flexibility and intelligence. This development visibly improves the functionality of robots and widens their applicability across the newfangled domains.

Report Scope

Key Developments

The robotic sensors market is witnessing a notable organic and inorganic expansion. Some of the key developments include

• In June 2025, ABB introduced its next-generation autonomous mobile robot (AMR) that features Visual SLAM (Simultaneous Localization and Mapping) and AI capabilities along with the AMR Studio software suite. The solution lets robots adapt to real-time environments without relying on the pre-defined infrastructure.

• In March 2025, Orbbec launched the stereo vision 3D camera having Ethernet connectivity. It is called Gemini 335LE. The new camera, announced at ProMat 2025, does offer improved depth sensing, thereby rendering it ideal for usage with autonomous mobile robots, robotic arms, and warehouse automation applications.

• In January 2025, SICK AG completed the acquisition of Accerion with the objective of strengthening its portfolio by integratingthe latter’s Jupiter and Triton technologies into its product offerings. SICK Accerion B.V., its newly formed subsidiary, would be emphasizing enhancement of AMR navigation and localization capabilities across several industrial automation applications.

Leading Players

The US robotic sensors market is highly competitive, with a large number of service providers globally. Some of the key players in the market include:

• Keyence Corporation
• Rockwell Automation
• Honeywell International Inc.
• Fanuc Corporation
• ATI Industrial Automation Inc.
• Sensata Technologies Inc.
• TE Connectivity Ltd.
• Baumer Group
• Futek Advanced Sensor Technology Inc.
• Infineon Technologies
• Omron Corporation
• Tekscan Inc.
• Others

These firms apply a plethora of strategies to enter the market, including innovations, mergers and acquisitions, and collaboration. The US robotic sensors market is shaped by the presence of diversified players that compete based on product innovation, vertical integration, and cost efficiency.

The US Robotic Sensors Market is segmented as follows:

By Sensor Type

• Vision Sensors
• Force/Torque Sensors
• Intertial Measurement Units
• Encoders
• Laser Sensors
• Ultrasonic Sensors

By Application

• Industrial Robotics
• Healthcare Robotics
• Military and Defense Robotics
• Consumer Robotics
• Commercial Robotics

By Technology

• MEMS-based
• Optical
• Capacitive
• Inductive
• Piezoelectric

By Interface

• Analog
• Digital
• Wireless

By Robotic Platform

• Mobile Robots
• Industrial Robots
• Collaborative Robots
• Humanoid Robots