Semiconductor Market for Robots worth $41.24 billion by 2030

NORTHBROOK, Ill. - Sept. 9, 2025 - PRLog -- The semiconductor market for robots is expected to grow significantly from USD 11.23 billion in 2025 to USD 41.24 billion by 2030, at a CAGR of 29.7%. Increasing automation across industries is expected to drive the demand for advanced compute, sensing, and power-efficient chips, as robots in manufacturing, logistics, and healthcare require reliable real-time processing and precision control. At the same time, the surge in AI and edge computing will drive the demand for high-performance, application-specific semiconductors that enable local data processing and real-time decision-making, ensuring smarter, safer, and more adaptable robotic systems across diverse environments. These factors are significantly increasing semiconductor demand in robotics.

Artificial Intelligence (AI) and Machine Learning (ML) are reshaping semiconductor demand across various robotic components, particularly within compute, sensors, and memory domains. AI workloads in robots require powerful yet energy-efficient compute units such as CPUs, GPUs, FPGAs, ASICs, and DSPs, all of which are being optimized to handle parallel processing, real-time analytics, and inference tasks at the edge. For instance, AI accelerators integrated into SoCs (under "Others") allow robots to process sensor data (vision, motion, or environment) with low latency, making autonomous operation possible even in connectivity-constrained or high-risk environments like warehouses, hospitals, or outdoor terrains.

ML relies heavily on continuous data collection and feedback from a range of robotic sensors—including image, LiDAR, IMU, pressure, ultrasonic, and tactile sensors—to enable adaptive learning and decision-making. These sensors feed data into AI models, which improve robot behaviors such as obstacle avoidance, path planning, and object recognition.

North America is estimated to account for a major share of the semiconductor market for robots due to its leadership in AI innovation, robotics R&D, and edge computing. The US, in particular, is home to some of the world's most advanced chip design companies (e.g., NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc., Qualcomm Technologies, Inc.) and robotics pioneers across sectors like defense, autonomous vehicles, logistics automation, and personal robotics. The surge in demand for autonomous mobile robots (AMRs), drones, and AI-powered service robots, especially from e-commerce, healthcare, and defense, is driving high-value semiconductor consumption. Furthermore, strategic policy interventions such as the CHIPS and Science Act are leading to heavy investments in domestic semiconductor manufacturing, AI hardware startups, and industrial robotics infrastructure. These developments will increase domestic chip availability and accelerate the integration of advanced semiconductors into robotic platforms.

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