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市场调查报告书
商品编码
1701598
美国工业自动化与控制系统市场规模、份额、趋势分析报告(按控制系统、组件类型、垂直产业、细分市场预测,2025 年至 2030 年)U.S. Industrial Automation And Control Systems Market Size, Share & Trends Analysis Report By Control Systems (DCS, PLC, SCADA), By Component Type, By Vertical, And Segment Forecasts, 2025 - 2030 |
预计 2024 年美国工业自动化和控制系统市场规模将达到 470.4 亿美元,2025 年至 2030 年的复合年增长率为 10.6%。
对提高业务效率的需求不断增长,推动市场成长。随着工业 4.0 的兴起,製造商正专注于利用数据分析、人工智慧和物联网来提高机器性能、减少停机时间和简化生产的智慧工厂。此外,劳动力短缺和减少危险环境中人为干预的需求正在推动各行各业采用自动化,预计这将在未来几年为美国工业自动化和控制系统产业提供丰厚的机会。
推动美国工业自动化和控制系统产业成长的因素是越来越多地转向采用云端基础的资料管理解决方案,为製造商提供对其营运的即时洞察,实现预测性维护,并改善整体决策。此外,将人工智慧 (AI) 和机器学习 (ML) 演算法整合到自动化系统中,可实现更智慧、自主控制的流程。此外,工业IoT(IIoT) 的兴起正在增强设备之间的连接性,从而能够收集有价值的营运数据,从而进一步提高效率和预测分析能力。
此外,5G网路、边缘运算和数数位双胞胎等新技术也正在帮助美国工业自动化和控制系统产业扩张。 5G网路将实现超低延迟和高速通讯,并有望使即时监控和控制更加高效,尤其是在自动驾驶汽车和机器人等领域。边缘运算是在更靠近源头的地方处理数据,而不是将其发送到中央云端,从而提高控制系统的速度和可靠性。数位孪生是实体系统的虚拟复製品,也越来越受欢迎,它使製造商能够更好地了解资产性能,并实现预测性维护和优化策略。
机器人技术、人工智慧 (AI) 和机器学习 (ML) 的进步大大提高了自动化系统的功能。这些技术创新实现了更精确的控制、更高的效率和更快的决策流程,使企业能够优化营运、减少人为错误并提高生产灵活性。随着这些技术的不断发展和成本效益的提高,它们在製造过程中的应用预计将会增加,从而进一步推动市场成长。
随着劳动力老化和技术纯熟劳工的短缺,公司正在转向自动化来填补空白并维持生产力水准。透过将自动化系统纳入业务,公司可以减少对重复性和危险性任务的体力劳动的依赖,使他们将人力资源集中在创新和解决问题等更高价值的活动上,提高整体劳动力的效率,并帮助美国工业自动化和控制系统产业发展。
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: