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市场调查报告书
商品编码
1851470
北美智慧製造:市场占有率分析、产业趋势、统计数据和成长预测(2025-2030 年)North America Smart Manufacturing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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预计到 2025 年,北美智慧製造市场规模将达到 622.1 亿美元,到 2030 年将达到 857.2 亿美元,年复合成长率为 6.62%。

这项发展势头得益于联邦政府创纪录的奖励、强劲的私部门资本形成,以及人工智慧、5G和网实整合系统在离散製造和流程製造业的紧密结合。超过93%的製造商计划在2024年推出新的人工智慧倡议,这表明预测性、自优化的生产环境正从试点阶段走向大规模部署。半导体产业回流、汽车电气化强制令以及电池供应链的建设都在支撑着市场需求,而製药和生命科学设施也在加速升级以满足严格的合规要求。北美智慧製造市场也受到劳动力市场动态变化的影响,包括熟练劳动力的减少和网路保险费用的上涨,这些因素正在限制中小企业采用智慧製造技术的速度。
人工智慧演算法嵌入机器层,实现预测性维护,从而将非计划停机时间减少高达 60%,并将设备寿命延长 20%。清洁能源智慧製造创新研究院正透过其人才培养计画扩大这些工具的使用范围,帮助弥合资料科学技能缺口。製造商发现,对于汽车和航太等对延迟高度敏感的应用而言,现场资料处理至关重要,因为毫秒级的反应速度直接影响产品品质。
美国一家钢铁厂采用5G区域网路解决方案后,营运中断次数减少了70倍,每年节省了200万美元。製造业已占全球已公布的5G私有部署项目的46%。加拿大无线通讯协会预测,到2025年,5G技术可望将加拿大的排放减少1,220万吨。
勒索软体事件将在2024年影响65%的製造商,并将使拥有连网资产的公司的保险费上涨30%以上。许多工厂仍然缺乏持续的营运技术(OT)监控,这加剧了人们对风险的认知与实际风险之间的差距。
到2024年,可程式逻辑控制器(PLC)将占总收入的22%,为数千家工厂的控制系统提供动力。然而,随着製造商优先考虑安全的人机协作,协作机器人的市场规模预计将以8.6%的复合年增长率成长。像是OTTO Motors的自主移动机器人这样的部署方案,可在11个月内收回成本,并将工作单元占地减少15%,且不会引发安全事故。
混合边缘到云端架构正日益将PLC与AI推理引擎整合。罗克韦尔自动化和英伟达正在合作开发一种参考设计,使操作人员能够将生成式AI应用于品质检测流程。机器视觉现在整合了神经网路以实现零缺陷保证,而产品生命週期管理工具中的数位双胞胎则有助于在实际执行之前对流程调整进行虚拟测试。
到2024年,控制硬体将占总支出的55%,而软体和服务将在2030年前以10%的复合年增长率超越控制硬体。製造商正越来越多地采用订阅模式,将分析、网路安全和持续优化等服务捆绑在一起,以加快价值实现。通讯基础设施,特别是专用5G和时间敏感型以太网,将支援这一趋势,并促进工业IoT的可扩展性。
先进的视觉感测器正引领这项转型。康耐视的In-Sight L38 3D系统将人工智慧与双模成像结合,透过最大限度地减少训练资料的需求,加速了技术的普及应用。此外,MES 4.0框架整合了IT和OT资料湖,使库存减少30%,人均销售额提高75%。
北美智慧製造市场份额报告按技术(PLC、SCADA、其他)、组件(控制设备、通讯基础设施、其他)、最终用户行业(汽车、石油天然气、其他)、部署类型(本地部署、云端部署、其他)和国家(美国、加拿大)进行细分。市场规模和预测以美元计价。
The North America smart manufacturing market reached USD 62.21 billion in 2025 and is forecast to attain USD 85.72 billion by 2030, advancing at a 6.62% CAGR.

Momentum stems from record federal incentives, strong private-sector capital formation and the tight coupling of artificial intelligence, 5G and cyber-physical systems across discrete and process industries. More than 93% of manufacturers launched new AI initiatives in 2024, a signal that predictive, self-optimizing production environments are moving from pilots to scaled rollouts. Semiconductor reshoring, automotive electrification mandates and battery supply-chain buildouts anchor demand, while pharmaceutical and life-sciences facilities accelerate upgrades to meet stringent compliance requirements. The North America smart manufacturing market is also shaped by shifting workforce dynamics, with skilled-trades attrition and cyber-insurance cost spikes tempering adoption velocity among small and mid-sized enterprises.
AI algorithms are now embedded at the machine layer, enabling predictive maintenance that cuts unplanned downtime by up to 60% and extends asset lifespans by 20%. The Clean Energy Smart Manufacturing Innovation Institute broadens access to these tools through workforce programs, helping close data-science skill gaps. Manufacturers view on-site data processing as essential for latency-sensitive applications in automotive and aerospace where millisecond-level responses govern quality.
Private 5G networks eliminate historical connectivity bottlenecks; one U.S. steel facility recorded a 70-fold reduction in operational disruptions and annual savings of USD 2 million after adopting a 5G LAN solution. Manufacturing already accounts for 46% of announced private 5G deployments worldwide. The Canadian Wireless Telecommunications Association forecasts that 5G could cut national emissions by 12.2 MtCO2e by 2025.
Ransomware incidents affected 65% of manufacturers in 2024, pushing premiums up more than 30% for firms introducing connected assets. Many plants still lack continuous OT monitoring, widening the gap between perceived and actual risk profiles.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Programmable Logic Controllers held 22% revenue in 2024, anchoring the control layer across thousands of plants. The North America smart manufacturing market size for collaborative robotics, however, is projected to rise at an 8.6% CAGR as manufacturers prioritize safe human-robot collaboration. Deployments such as OTTO Motors' Autonomous Mobile Robots deliver 11-month paybacks and shrink work-cell footprints 15% without safety incidents.
Hybrid edge-to-cloud architectures increasingly unite PLCs with AI inference engines. Rockwell Automation and NVIDIA are co-developing reference designs that let operators apply generative AI for quality inspection flows. Machine vision now embeds neural networks for zero-defect assurance, while digital twins inside Product Lifecycle Management tools help test process tweaks virtually before physical execution.
Control hardware accounted for 55% of 2024 spending, yet software and services are forecast to outpace at a 10% CAGR through 2030. Manufacturers increasingly embrace subscription models that bundle analytics, cybersecurity and continuous optimization, reducing time-to-value. Communication infrastructure-especially private 5G and Time-Sensitive Networking Ethernet-underpins this pivot and supports Industrial IoT scalability.
Advanced vision sensors spotlight the transition. Cognex's In-Sight L38 3D system combines AI with dual-mode imaging to accelerate deployment by minimizing training data requirements. Robotics component kits, spanning SCARA to Autonomous Mobile Robots, further elevate flexibility, while MES 4.0 frameworks integrate IT and OT data lakes to slash inventory 30% and lift revenue per employee 75% in automotive trials.
North America Smart Manufacturing Market Share Report is Segmented by Technology (PLC, SCADA and More), Component (Control Devices, Communication Infrastructure, and More), End-User Industry (Automotive, Oil and Gas and More), Deployment Mode (On-Premise, Cloud and More), and Country (United States, Canada). The Market Size and Forecasts are Provided in Terms of Value (USD).