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市場調查報告書
商品編碼
1851470
北美智慧製造:市場佔有率分析、產業趨勢、統計數據和成長預測(2025-2030 年)North America Smart Manufacturing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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預計到 2025 年,北美智慧製造市場規模將達到 622.1 億美元,到 2030 年將達到 857.2 億美元,年複合成長率為 6.62%。

這項發展勢頭得益於聯邦政府創紀錄的獎勵、強勁的私部門資本形成,以及人工智慧、5G和網實整合系統在離散製造和流程製造業的緊密結合。超過93%的製造商計劃在2024年推出新的人工智慧舉措,這表明預測性、自最佳化的生產環境正從試點階段走向大規模部署。半導體產業回流、汽車電氣化強制令以及電池供應鏈的建設都在支撐著市場需求,而製藥和生命科學設施也在加速升級以滿足嚴格的合規要求。北美智慧製造市場也受到勞動力市場動態變化的影響,包括熟練勞動力的減少和網路保險費用的上漲,這些因素正在限制中小企業採用智慧製造技術的速度。
人工智慧演算法嵌入機器層,實現預測性維護,從而將非計劃停機時間減少高達 60%,並將設備壽命延長 20%。清潔能源智慧製造創新研究院正透過其人才培養計畫擴大這些工具的使用範圍,幫助彌合資料科學技能缺口。製造商發現,對於汽車和航太等對延遲高度敏感的應用而言,現場資料處理至關重要,因為毫秒級的反應速度直接影響產品品質。
美國一家鋼鐵廠採用5G區域網路解決方案後,營運中斷次數減少了70倍,每年節省了200萬美元。製造業已佔全球已公佈的5G私有部署項目的46%。加拿大無線通訊協會預測,到2025年,5G技術可望將加拿大的排放減少1,220萬噸。
勒索軟體事件將在2024年影響65%的製造商,並將使擁有連網資產的公司的保險費上漲30%以上。許多工廠仍然缺乏持續的營運技術(OT)監控,這加劇了人們對風險的認知與實際風險之間的差距。
到2024年,可程式邏輯控制器(PLC)將佔總收入的22%,為數千家工廠的控制系統提供動力。然而,隨著製造商優先考慮安全的人機協作,協作機器人的市場規模預計將以8.6%的複合年成長率成長。像是OTTO Motors的自主移動機器人這樣的部署方案,可在11個月內收回成本,並將工作單元佔地減少15%,且不會引發安全事故。
混合邊緣到雲端架構正日益將PLC與AI推理引擎整合。羅克韋爾自動化和英偉達正在合作開發一種參考設計,使操作人員能夠將生成式AI應用於品質檢測流程。機器視覺現在整合了神經網路以實現零缺陷保證,而產品生命週期管理工具中的數位雙胞胎則有助於在實際執行之前對流程調整進行虛擬測試。
到2024年,控制硬體將佔總支出的55%,而軟體和服務將在2030年前以10%的複合年成長率超越控制硬體。製造商正擴大採用訂閱模式,將分析、網路安全和持續最佳化等服務捆綁在一起,以加快價值實現。通訊基礎設施,特別是專用5G和時間敏感型以太網,將支援這一趨勢,並促進工業IoT的可擴展性。
先進的視覺感測器正引領這項轉型。康耐視的In-Sight L38 3D系統將人工智慧與雙模成像結合,透過最大限度地減少訓練資料的需求,加速了技術的普及應用。此外,MES 4.0框架整合了IT和OT資料湖,使庫存減少30%,人均銷售額提高75%。
北美智慧製造市場佔有率報告按技術(PLC、SCADA、其他)、組件(控制設備、通訊基礎設施、其他)、最終用戶行業(汽車、石油天然氣、其他)、部署類型(本地部署、雲端部署、其他)和國家(美國、加拿大)進行細分。市場規模和預測以美元計價。
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).