North America Smart Manufacturing Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

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).

North America Smart Manufacturing Market Size and Share

North America Smart Manufacturing Market Summary
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North America Smart Manufacturing Market Analysis by Mordor Intelligence

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.

Key Report Takeaways

  • By technology, collaborative robotics is the fastest-growing segment at an 8.6% CAGR through 2030, while Programmable Logic Controllers led with 22% revenue share in 2024.  
  • By component, hardware retained 55% of the North America smart manufacturing market share in 2024, yet software and services are projected to rise at a 10% CAGR to 2030.  
  • By end-user industry, automotive held 30% revenue share in 2024; pharmaceutical and life sciences is forecast to expand at a 9.5% CAGR through 2030.  
  • By deployment, on-premise solutions commanded 61.2% of the North America smart manufacturing market size in 2024, whereas cloud deployments are set to grow at a 9.6% CAGR.  
  • By country, the United States contributed 81% revenue share in 2024, while Canada is expected to register a 9% CAGR to 2030

Segment Analysis

By Technology: AI-Driven Automation Reshapes Traditional Controls

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.

North America Smart Manufacturing Market: Market Share by Technology
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Note: Segment shares of all individual segments available upon report purchase

By Component: Software Services Drive Digital Transformation

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.

By End-User Industry: Automotive Leadership Challenged by Pharma Growth

Automotive retained 30% of revenue in 2024, buoyed by electric vehicle platform ramps and digital stamping lines. Yet the pharmaceutical and life-sciences cohort is on track for a 9.5% CAGR, the fastest among all verticals. Bayer modernized its U.S. drug-substance plant with Siemens Opcenter Execution Pharma, achieving compliance upgrades without downtime.

Aerospace and defense maintain steady adoption as digital thread programs streamline aircraft assembly. Food and beverage plants deploy MES for end-to-end traceability, and electronics manufacturers catalyze capacity through CHIPS Act subsidies. Across these verticals the North America smart manufacturing market continues to diversify, mitigating over-reliance on a single sector.

North America Smart Manufacturing Market: Market Share by End-User
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Note: Segment shares of all individual segments available upon report purchase

By Deployment Mode: Cloud Adoption Accelerates Despite On-Premise Dominance

On-premise solutions secured 61.2% share in 2024, reflecting strict latency, IP and regulatory obligations. The cloud segment, though, is forecast to climb at a 9.6% CAGR. Pharmaceutical producers like Amgen run cloud-native analytics to support real-time process decisions, enhancing agility in biologics lines.

Hybrid architectures gain traction as firms use edge gateways for deterministic control while off-loading batch analytics to hyperscale platforms. Canada’s Digital Adoption Program sweetens economics by offering grants up to CAD 15,000 and interest-free loans up to CAD 100,000, spurring transformation among SMEs.

Geography Analysis

The United States accounted for 81% of the North America smart manufacturing market in 2024, a share driven by USD 285 billion in federal incentives that mobilized more than USD 1 trillion in private commitments. Seventeen manufacturing clusters concentrate resources in Illinois, Arizona, New York and other regions, pushing annual construction spending to USD 189 billion. Semiconductor hubs in Texas and Arizona, automotive electrification lines across Michigan and the Southeast and life-sciences corridors in the Northeast all generate robust incremental demand. Corporate announcements such as Texas Instruments’ USD 60 billion fab network and Schneider Electric’s USD 700 million upgrade program reinforce multiyear capacity pipelines.

Canada represented 19% of revenue yet is the fastest-growing geography at 9% CAGR through 2030. The Advanced Manufacturing Cluster channels CAD 427 million into automation, machine learning and cybersecurity to help SMEs adopt advanced technologies. Siemens' CAD 150 million Global AI Manufacturing Technologies Center places Canada at the forefront of battery innovation. Only 47% of Canadian manufacturers have a digital roadmap, so grant programs and zero-interest loans under the Digital Adoption Program stimulate pent-up demand.

Together, these dynamics forge a complementary regional ecosystem. U.S. scale and capital intensity pair with Canadian research depth and sustainability leadership. Cross-border supply chains in battery materials, semiconductors and electric vehicles benefit from harmonized policies that prioritize resilience and near-shoring, ensuring that the North America smart manufacturing market remains globally competitive through 2030.

Competitive Landscape

The North America smart manufacturing market features a moderate concentration where incumbent automation leaders coexist with cloud hyperscalers and AI-native newcomers. Siemens, Rockwell Automation, ABB and Schneider Electric leverage installed bases of PLCs, drives and MES platforms, yet each pivots toward as-a-service portfolios. Siemens collaborates with Microsoft and NVIDIA to co-develop industrial foundation models that embed generative AI into design, engineering and maintenance workflows.

Partnership ecosystems redefine competition. ABB and other vendors co-launched the Margo open-source initiative to improve Industrial IoT interoperability while ABB’s investment in Edgecom targets demand for AI-based energy optimization. OMRON lines up Cognizant as an engineering partner to merge IT and OT skill sets for automotive and life-sciences clients. These alliances blur boundaries among hardware, software and services and open lanes for niche specialists in cybersecurity, edge AI and private 5G orchestration.

Market fragmentation also benefits vertically focused players. Battery-specific MES suppliers, additive manufacturing workflow vendors and low-code industrial app developers secure footholds through domain expertise. Meanwhile insurers’ rising scrutiny of OT cyber-risk elevates demand for solution providers that bundle security, compliance and monitoring. Over the forecast horizon, vendor differentiation will hinge less on discrete product features and more on ecosystem integration, time-to-value and outcome-based pricing that aligns technology gains with measurable operational improvements.

North America Smart Manufacturing Industry Leaders

  1. ABB Ltd

  2. Emerson Electric Company

  3. General Electric Company

  4. Honeywell International Inc.

  5. Rockwell Automation Inc.

  6. *Disclaimer: Major Players sorted in no particular order
North America Smart Manufacturing Market Concentration
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Recent Industry Developments

  • June 2025: Texas Instruments announced a USD 60 billion investment for seven semiconductor facilities in Texas and Utah, creating 60,000 jobs.
  • May 2025: GE Vernova outlined nearly USD 600 million in new manufacturing investments across the United States.
  • April 2025: OMRON and Cognizant entered a strategic partnership to integrate IT and OT across multiple industries.
  • March 2025: Siemens confirmed a USD 10 billion U.S. expansion for software, AI and manufacturing capacity.

Table of Contents for North America Smart Manufacturing Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Value / Supply-Chain Analysis
  • 4.2 Regulatory and Technological Outlook (North America)
  • 4.3 Investment Analysis (capital flows, MandA, venture funding)
  • 4.4 Impact of Macroeconomic Events (COVID-19, Trade-Policy, Labor Shortage)
  • 4.5 Market Drivers
    • 4.5.1 Surging Adoption of AI-enabled Edge Analytics in U.S. Discrete Manufacturing
    • 4.5.2 Rapid Proliferation of 5G-powered Industrial IoT Networks across Canadian Plants
    • 4.5.3 Reshoring Incentives (CHIPS and Science Act, IRA) Fueling Digital-First Factories
    • 4.5.4 Sustainability Mandates Driving Smart Energy-Management Retrofits in Brown-field Sites
    • 4.5.5 Adoption of Cyber-Physical Systems for Zero-Defect Production in Automotive Clusters
    • 4.5.6 Growing Demand for Modular, Low-Code MES among SME Job-Shops
  • 4.6 Market Restraints
    • 4.6.1 Persistent OT Cyber-Insurance Premium Hikes Limiting Digital Conversions
    • 4.6.2 Multi-vendor Interoperability Gaps in Legacy PLC Install-base
    • 4.6.3 Inflation-driven CAPEX Deferrals in Tier-2 Automotive Suppliers
    • 4.6.4 North American Skilled-Trades Attrition Outpacing Upskilling Pipelines
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Techonology
    • 5.1.1 Supervisory Control and Data Acquisition (SCADA)
    • 5.1.2 Distributed Control System (DCS)
    • 5.1.3 Human-Machine Interface (HMI)
    • 5.1.4 Manufacturing Execution System (MES)
    • 5.1.5 Product Lifecycle Management (PLM)
    • 5.1.6 Enterprise Resource Planning (ERP)
    • 5.1.7 Robotics and Collaborative Robots
    • 5.1.8 Machine Vision and Quality Inspection
    • 5.1.9 Edge and Cloud Analytics Platforms
  • 5.2 By Component
    • 5.2.1 Control Devices (PLC, DCS, PAC)
    • 5.2.2 Communication Infrastructure (5G, Industrial Ethernet)
    • 5.2.3 Sensors and Actuators
    • 5.2.4 Machine Vision Systems
    • 5.2.5 Robotics (Articulated, SCARA, AMR)
    • 5.2.6 Software and Services (MES, Digital Twin, SaaS)
  • 5.3 By End-User Industry
    • 5.3.1 Automotive
    • 5.3.2 Aerospace and Defense
    • 5.3.3 Oil and Gas (Upstream, Midstream, Downstream)
    • 5.3.4 Chemicals and Petrochemicals
    • 5.3.5 Pharmaceuticals and Life-Sciences
    • 5.3.6 Food and Beverage
    • 5.3.7 Metals and Mining
    • 5.3.8 Electronics and Semiconductors
    • 5.3.9 Pulp and Paper
    • 5.3.10 Others (Textiles, Plastics)
  • 5.4 By Deployment Mode
    • 5.4.1 On-premise
    • 5.4.2 Cloud (SaaS)
    • 5.4.3 Hybrid
  • 5.5 By Country
    • 5.5.1 United States
    • 5.5.2 Canada
    • 5.5.3 Mexico

6. COMPETITIVE LANDSCAPE

  • 6.1 Strategic Moves (Partnerships, Reshoring, ESG-linked Financing)
  • 6.2 Market Share Analysis
  • 6.3 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
    • 6.3.1 ABB Ltd.
    • 6.3.2 Emerson Electric Co.
    • 6.3.3 FANUC Corp.
    • 6.3.4 General Electric Co.
    • 6.3.5 Honeywell International Inc.
    • 6.3.6 Mitsubishi Electric Corp.
    • 6.3.7 Robert Bosch GmbH (Bosch Rexroth)
    • 6.3.8 Rockwell Automation Inc.
    • 6.3.9 Schneider Electric SE
    • 6.3.10 Siemens AG
    • 6.3.11 Texas Instruments Inc.
    • 6.3.12 Yokogawa Electric Corp.
    • 6.3.13 Omron Corp.
    • 6.3.14 PTC Inc.
    • 6.3.15 IBM Corp.
    • 6.3.16 Cisco Systems Inc.
    • 6.3.17 SAP SE
    • 6.3.18 Dassault Systèmes SE
    • 6.3.19 Cognex Corp.
    • 6.3.20 Keyence Corp.
    • 6.3.21 Stratasys Ltd.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment
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North America Smart Manufacturing Market Report Scope

Smart manufacturing uses computer-integrated manufacturing, high adaptability and quick design changes, digital information technology, and more adaptable technical workforce training, which includes fast changes in production levels based on demand, optimization of the supply chain, efficient production, and recyclability.

The scope of the market is limited to North America. The North American smart manufacturing market is segmented by technology, components, end-user industry, and geography (United States and Canada). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Techonology Supervisory Control and Data Acquisition (SCADA)
Distributed Control System (DCS)
Human-Machine Interface (HMI)
Manufacturing Execution System (MES)
Product Lifecycle Management (PLM)
Enterprise Resource Planning (ERP)
Robotics and Collaborative Robots
Machine Vision and Quality Inspection
Edge and Cloud Analytics Platforms
By Component Control Devices (PLC, DCS, PAC)
Communication Infrastructure (5G, Industrial Ethernet)
Sensors and Actuators
Machine Vision Systems
Robotics (Articulated, SCARA, AMR)
Software and Services (MES, Digital Twin, SaaS)
By End-User Industry Automotive
Aerospace and Defense
Oil and Gas (Upstream, Midstream, Downstream)
Chemicals and Petrochemicals
Pharmaceuticals and Life-Sciences
Food and Beverage
Metals and Mining
Electronics and Semiconductors
Pulp and Paper
Others (Textiles, Plastics)
By Deployment Mode On-premise
Cloud (SaaS)
Hybrid
By Country United States
Canada
Mexico
By Techonology
Supervisory Control and Data Acquisition (SCADA)
Distributed Control System (DCS)
Human-Machine Interface (HMI)
Manufacturing Execution System (MES)
Product Lifecycle Management (PLM)
Enterprise Resource Planning (ERP)
Robotics and Collaborative Robots
Machine Vision and Quality Inspection
Edge and Cloud Analytics Platforms
By Component
Control Devices (PLC, DCS, PAC)
Communication Infrastructure (5G, Industrial Ethernet)
Sensors and Actuators
Machine Vision Systems
Robotics (Articulated, SCARA, AMR)
Software and Services (MES, Digital Twin, SaaS)
By End-User Industry
Automotive
Aerospace and Defense
Oil and Gas (Upstream, Midstream, Downstream)
Chemicals and Petrochemicals
Pharmaceuticals and Life-Sciences
Food and Beverage
Metals and Mining
Electronics and Semiconductors
Pulp and Paper
Others (Textiles, Plastics)
By Deployment Mode
On-premise
Cloud (SaaS)
Hybrid
By Country
United States
Canada
Mexico
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Key Questions Answered in the Report

What is the current size of the North America smart manufacturing market?

The market reached USD 62.21 billion in 2025 and is projected to grow to USD 85.72 billion by 2030.

Which technology segment is expanding the fastest?

Collaborative robotics is forecast to post an 8.6% CAGR, reflecting demand for safe human-robot collaboration.

Why is cloud deployment gaining momentum in manufacturing?

Cloud platforms offer scalability and advanced analytics at lower upfront cost, driving a 9.6% CAGR while hybrid setups maintain data sovereignty.

How significant are U.S. government incentives for the industry?

Initiatives such as the CHIPS and Science Act and Inflation Reduction Act have mobilized more than USD 1 trillion in private manufacturing investments.

Which end-user industry will outpace others through 2030?

Pharmaceutical and life-sciences facilities are set to grow at a 9.5% CAGR, faster than any other vertical.

What are the primary obstacles to wider adoption among SMEs?

G cyber-insurance premiums, skilled-trades shortages and multi-vendor interoperability gaps hamper digital conversion efforts.

Page last updated on: July 8, 2025

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