PUBLISHER: Grand View Research | PRODUCT CODE: 1701598
PUBLISHER: Grand View Research | PRODUCT CODE: 1701598
The U.S. industrial automation and control systems market size was estimated at USD 47.04 billion in 2024 and is expected to grow at a CAGR of 10.6% from 2025 to 2030. The increasing demand for enhanced operational efficiency is driving the market growth. With the rise of Industry 4.0, manufacturers are focusing on smart factories that leverage data analytics, AI, and IoT to improve machine performance, reduce downtime, and streamline production. Additionally, labor shortages and the need to reduce human intervention in hazardous environments are pushing industries to adopt automation, which is expected to present lucrative opportunities for the U.S. industrial automation and control systems industry in the coming years.
The U.S. industrial automation and control systems industry's growth is driven by the increasing shift toward the adoption of cloud-based solutions for data management, offering manufacturers real-time insights into operations, enabling predictive maintenance, and improving overall decision-making. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) algorithms into automation systems, allowing for smarter and more autonomous control processes. Furthermore, the rise of industrial IoT (IIoT) is facilitating enhanced connectivity between devices, enabling the collection of valuable operational data that drives further improvements in efficiency and predictive analytics.
Additionally, emerging technologies, such as 5G networks, edge computing, and digital twins, are also propelling the U.S. industrial automation and control systems industry expansion. 5G networks are expected to enable ultra-low latency and high-speed communication, making real-time monitoring and control more efficient, particularly in sectors like autonomous vehicles and robotics. Edge computing, which processes data closer to the source rather than sending it to a central cloud, is enhancing the speed and reliability of control systems. Digital twins, virtual replicas of physical systems, are also gaining traction, offering manufacturers a better understanding of asset performance and allowing for predictive maintenance and optimization strategies.
The evolution of robotics, artificial intelligence (AI), and machine learning (ML) has significantly improved the capabilities of automation systems. These innovations enable more precise control, increased efficiency, and faster decision-making processes, allowing companies to optimize operations, reduce human errors, and achieve greater production flexibility. As these technologies continue to advance and become more cost-effective, their adoption within manufacturing processes is expected to rise, further accelerating market growth.
Workforce challenges, such as labor shortages and the need for highly skilled workers, are driving the adoption of industrial automation in the U.S. With the aging workforce and a gap in skilled labor, companies are turning to automation to bridge the gap and maintain productivity levels. By integrating automated systems into operations, businesses can reduce their dependence on manual labor for repetitive and hazardous tasks, allowing companies to focus human resources on higher-value tasks, such as innovation and problem-solving, thereby improving overall workforce efficiency, thereby propelling the U.S. industrial automation and control systems industry growth.
U.S. Industrial Automation and Control Systems Market Report Segmentation
This report forecasts revenue growth at country levels and provides an analysis of the latest technology trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the U.S. industrial automation and control systems market report based on component type, control system, and vertical: