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市場調查報告書
商品編碼
1701598
美國工業自動化與控制系統市場規模、佔有率、趨勢分析報告(按控制系統、組件類型、垂直產業、細分市場預測,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 |
預計 2024 年美國工業自動化和控制系統市場規模將達到 470.4 億美元,2025 年至 2030 年的複合年成長率為 10.6%。
對提高業務效率的需求不斷成長,推動市場成長。隨著工業 4.0 的興起,製造商正專注於利用數據分析、人工智慧和物聯網來提高機器性能、減少停機時間和簡化生產的智慧工廠。此外,勞動力短缺和減少危險環境中人為干預的需求正在推動各行各業採用自動化,預計這將在未來幾年為美國工業自動化和控制系統產業提供豐厚的機會。
推動美國工業自動化和控制系統產業成長的因素是擴大轉向採用雲端基礎的資料管理解決方案,為製造商提供對其營運的即時洞察,實現預測性維護,並改善整體決策。此外,將人工智慧 (AI) 和機器學習 (ML) 演算法整合到自動化系統中,可實現更智慧、自主控制的流程。此外,工業IoT(IIoT) 的興起正在增強設備之間的連接性,從而能夠收集有價值的營運數據,從而進一步提高效率和預測分析能力。
此外,5G網路、邊緣運算和數位雙胞胎等新技術也正在幫助美國工業自動化和控制系統產業擴張。 5G網路將實現超低延遲和高速通訊,並有望使即時監控和控制更加高效,尤其是在自動駕駛汽車和機器人等領域。邊緣運算是在更靠近源頭的地方處理數據,而不是將其發送到中央雲端,從而提高控制系統的速度和可靠性。數位孿生是實體系統的虛擬複製品,也越來越受歡迎,它使製造商能夠更好地了解資產性能,並實現預測性維護和最佳化策略。
機器人技術、人工智慧 (AI) 和機器學習 (ML) 的進步大大提高了自動化系統的功能。這些技術創新實現了更精確的控制、更高的效率和更快的決策流程,使企業能夠最佳化營運、減少人為錯誤並提高生產靈活性。隨著這些技術的不斷發展和成本效益的提高,它們在製造過程中的應用預計將會增加,從而進一步推動市場成長。
隨著勞動力老化和技術純熟勞工的短缺,公司正在轉向自動化來填補空白並維持生產力水準。透過將自動化系統納入業務,公司可以減少對重複性和危險性任務的體力勞動的依賴,使他們將人力資源集中在創新和解決問題等更高價值的活動上,提高整體勞動力的效率,並幫助美國工業自動化和控制系統產業發展。
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: