세계의 스마트 팩토리 시장 : 규모, 점유율, 성장 및 산업 분석, 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of smart factory Market

The global smart factory market is accelerating rapidly as manufacturers worldwide adopt automation, AI-driven systems, and digitally connected production technologies. According to the latest industrial assessment, the market was valued at USD 159.90 billion in 2024, and is projected to grow to USD 171.56 billion in 2025, before reaching USD 314.80 billion by 2032. This strong upward trajectory reflects a CAGR of 9.1%, driven by digital transformation, real-time analytics, and increasing integration of advanced smart manufacturing solutions. In 2024, Asia Pacific led the global market with a 32.83% share, cementing its position as the world's most active hub for smart manufacturing investments.

A smart factory represents a fully connected intelligent manufacturing ecosystem built on technologies such as Industrial IoT (IIoT), robotics, machine vision, digital twins, AI, and ML. Unlike traditional industrial operations, smart factories integrate these technologies to improve efficiency, product quality, sustainability, and decision-making. Major manufacturers-such as Samsung, Airbus, and Unilever-have already adopted smart factory solutions to reduce waste, optimize production cycles, and automate repetitive processes. Digital twins, predictive maintenance, cloud integration, and high-speed connectivity are shaping the future of factory automation.

Impact of Generative AI

Generative AI is emerging as a transformative force in industrial operations. By applying intelligent agents and advanced analytics, manufacturers can automate complex workflows and improve decision-making. In May 2025, Siemens introduced AI agents into its Xcelerator platform, enabling industrial workflows to be executed autonomously and targeting up to a 50% increase in productivity. AI-enabled automation minimizes human intervention, reduces operational errors, accelerates maintenance cycles, and optimizes resource utilization, contributing significantly to smart factory expansion.

Key Market Trends

A major trend driving market growth is the rising use of IIoT-enabled data and robotics to improve process efficiency. Manufacturers are using real-time data-captured from sensors measuring temperature, pressure, vibration, and energy consumption-to train AI and ML models, enabling predictive maintenance and automated decision-making. Industrial robotics adoption is also increasing, especially among SMEs, as intelligent robots enhance productivity, handle complex tasks, and reduce operational downtime. In June 2024, Regal Rexnord launched an intelligent decision-making and predictive maintenance solution, highlighting the industry's shift toward unified, data-centric platforms.

Market Drivers

The integration of digital twins is a key driver of market growth. Digital twins enable manufacturers to simulate scenarios, test technologies virtually, and reduce the risks associated with system deployment. In January 2025, SPX Flow collaborated with Siemens to integrate digital twin technology at Chicago's (Manufacturing x Digital) center, enhanced by 5G connectivity for real-time visualization and project scaling. This level of optimization helps reduce downtime, improve asset lifecycle management, and streamline factory operations.

Market Restraints

Skill shortages and high capital investment requirements pose challenges to adoption. Implementing smart factory solutions requires expertise in integrating AI, robotics, and IIoT with traditional machinery. The initial investment for automation hardware, software, and infrastructure is significantly higher than conventional manufacturing upgrades, slowing adoption for smaller enterprises.

Market Opportunities

No-code intelligent automation platforms present lucrative growth opportunities. These systems enable manufacturers to train AI models, enhance quality inspections, and optimize workflows without needing advanced coding skills. In November 2024, Rockwell Automation introduced FactoryTalk Analytics VisionAI, a no-code AI-powered inspection system designed to simplify machine vision applications and improve quality control.

Regional Outlook

Asia Pacific, valued at USD 52.49 billion in 2024, leads the global market due to rapid industrialization, advanced manufacturing infrastructure, and strong foreign investment. China remains the region's largest market, actively integrating IIoT and robotics to enhance production efficiency.

North America continues to grow through progressive industrial policies, high adoption of digital twin and MES systems, and strong uptake of predictive analytics tools. Manufacturing represents a significant share of U.S. GDP, and companies are modernizing facilities with PLM, SCADA, and AI-enabled platforms.

Europe remains a strong adopter of Industry 4.0 technologies, driven by advanced engineering, automotive manufacturing, and energy sector modernization.

Competitive Landscape

Leading companies-including ABB, Siemens, Schneider Electric, Emerson, Honeywell, GE, Mitsubishi Electric, Rockwell Automation, Fanuc, SAP, and Bosch-are investing heavily in AI-driven automation tools and software. Siemens, in particular, continues to expand its industrial AI ecosystem through acquisitions, AI agents, and generative AI-powered maintenance systems.

Segmentation By Technology

• Digital Twin
• Industrial IoT
• Industrial Robots
• Others (Machine Vision, etc.)

By Solutions

• Industrial 3D Printers
• Programmable Logic Controller (PLC)
• Product Lifecycle Management (PLM)
• Manufacturing Execution System (MES)
• Robotic Process Automation (RPA)
• Supervisory Control And Data Acquisition (SCADA)
• Others (Energy Management Solutions, etc.)

By Industry

• Discrete Industry
  • Automotive
  • Marine & Transportation
  • Industrial machinery
  • Medical devices
  • Semiconductor and Electronics
  • Others (Aerospace and Defence, etc.)
• Process Industry
  • Pharmaceuticals
  • Mining and Metals
  • Chemicals
  • Pulp and Paper
  • Others (Cable, etc.)

By Region

• North America (By Technology, By Solutions, By Industry, and By Country)
  • U.S. (By Solutions)
  • Canada (By Solutions)
• Latin America (By Technology, By Solutions, By Industry, and By Country)
  • Brazil (By Solutions)
  • Mexico (By Solutions)
  • Rest of Latin America
• Europe (By Technology, By Solutions, By Industry, and By Country)
  • U.K. (By Solutions)
  • Germany (By Solutions)
  • France (By Solutions)
  • Italy (By Solutions)
  • Spain (By Solutions)
  • Rest of Europe
• Asia Pacific (By Technology, By Solutions, By Industry, and By Country)
  • China (By Solutions)
  • Japan (By Solutions)
  • India (By Solutions)
  • Southeast Asia (By Solutions)
  • Rest of Asia Pacific
• Middle East & Africa (By Technology, By Solutions, By Industry, and By Country)
  • GCC (By Solutions)
  • South Africa (By Solutions)
  • Rest of Middle East & Africa

Companies Profiled in the Report ABB Ltd. (Switzerland), Siemens AG (Germany), Schneider Electric SE (France), Emerson Electric Co. (U.S.), General Electric (U.S.), Honeywell International, Inc. (U.S.), Mitsubishi Electric Corporation (Japan), Robert Bosch GmbH (Germany), Rockwell Automation, Inc. (U.S.), and Fanuc Corporation (Japan)

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities, and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Smart Factory Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Technology (USD Bn)
  • 5.2.1. Digital Twin
  • 5.2.2. Industrial IoT
  • 5.2.3. Industrial Robots
  • 5.2.4. Others (Machine Vision, etc.)
• 5.3. By Solutions (USD Bn)
  • 5.3.1. Industrial 3D Printers
  • 5.3.2. Programmable Logic Controller (PLC)
  • 5.3.3. Product Lifecycle Management (PLM)
  • 5.3.4. Manufacturing Execution System (MES)
  • 5.3.5. Robotic Process Automation (RPA)
  • 5.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 5.3.7. Others (Energy Management Solutions, etc.)
• 5.4. By Industry (USD Bn)
  • 5.4.1. Discrete Industry
    • 5.4.1.1. Automotive
    • 5.4.1.2. Marine & Transportation
    • 5.4.1.3. Industrial machinery
    • 5.4.1.4. Medical devices
    • 5.4.1.5. Semiconductor and Electronics
    • 5.4.1.6. Others (Aerospace and Defense, etc.)
  • 5.4.2. Process Industry
    • 5.4.2.1. Pharmaceuticals
    • 5.4.2.2. Mining and Metals
    • 5.4.2.3. Chemicals
    • 5.4.2.4. Pulp and Paper
    • 5.4.2.5. Others (Cable, etc.)
• 5.5. By Region (USD Bn)
  • 5.5.1. North America
  • 5.5.2. Latin America
  • 5.5.3. Europe
  • 5.5.4. Asia Pacific
  • 5.5.5. Middle East & Africa

6. North America Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Technology (USD Bn)
  • 6.2.1. Digital Twin
  • 6.2.2. Industrial IoT
  • 6.2.3. Industrial Robots
  • 6.2.4. Others (Machine Vision, etc.)
• 6.3. By Solutions (USD Bn)
  • 6.3.1. Industrial 3D Printers
  • 6.3.2. Programmable Logic Controller (PLC)
  • 6.3.3. Product Lifecycle Management (PLM)
  • 6.3.4. Manufacturing Execution System (MES)
  • 6.3.5. Robotic Process Automation (RPA)
  • 6.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 6.3.7. Others (Energy Management Solutions, etc.)
• 6.4. By Industry (USD Bn)
  • 6.4.1. Discrete Industry
    • 6.4.1.1. Automotive
    • 6.4.1.2. Marine & Transportation
    • 6.4.1.3. Industrial machinery
    • 6.4.1.4. Medical devices
    • 6.4.1.5. Semiconductor and Electronics
    • 6.4.1.6. Others (Aerospace and Defense, etc.)
  • 6.4.2. Process Industry
    • 6.4.2.1. Pharmaceuticals
    • 6.4.2.2. Mining and Metals
    • 6.4.2.3. Chemicals
    • 6.4.2.4. Pulp and Paper
    • 6.4.2.5. Others (Cable, etc.)
• 6.5. By Country (USD Bn)
  • 6.5.1. United States
    • 6.5.1.1. By Solutions
  • 6.5.2. Canada
    • 6.5.2.1. By Solutions

7. Latin America Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Technology (USD Bn)
  • 7.2.1. Digital Twin
  • 7.2.2. Industrial IoT
  • 7.2.3. Industrial Robots
  • 7.2.4. Others (Machine Vision, etc.)
• 7.3. By Solutions (USD Bn)
  • 7.3.1. Industrial 3D Printers
  • 7.3.2. Programmable Logic Controller (PLC)
  • 7.3.3. Product Lifecycle Management (PLM)
  • 7.3.4. Manufacturing Execution System (MES)
  • 7.3.5. Robotic Process Automation (RPA)
  • 7.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 7.3.7. Others (Energy Management Solutions, etc.)
• 7.4. By Industry (USD Bn)
  • 7.4.1. Discrete Industry
    • 7.4.1.1. Automotive
    • 7.4.1.2. Marine & Transportation
    • 7.4.1.3. Industrial machinery
    • 7.4.1.4. Medical devices
    • 7.4.1.5. Semiconductor and Electronics
    • 7.4.1.6. Others (Aerospace and Defense, etc.)
  • 7.4.2. Process Industry
    • 7.4.2.1. Pharmaceuticals
    • 7.4.2.2. Mining and Metals
    • 7.4.2.3. Chemicals
    • 7.4.2.4. Pulp and Paper
    • 7.4.2.5. Others (Cable, etc.)
• 7.5. By Country (USD Bn)
  • 7.5.1. Brazil
    • 7.5.1.1. By Solutions
  • 7.5.2. Mexico
    • 7.5.2.1. By Solutions
  • 7.5.3. Rest of Latin America

8. Europe Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Technology (USD Bn)
  • 8.2.1. Digital Twin
  • 8.2.2. Industrial IoT
  • 8.2.3. Industrial Robots
  • 8.2.4. Others (Machine Vision, etc.)
• 8.3. By Solutions (USD Bn)
  • 8.3.1. Industrial 3D Printers
  • 8.3.2. Programmable Logic Controller (PLC)
  • 8.3.3. Product Lifecycle Management (PLM)
  • 8.3.4. Manufacturing Execution System (MES)
  • 8.3.5. Robotic Process Automation (RPA)
  • 8.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 8.3.7. Others (Energy Management Solutions, etc.)
• 8.4. By Industry (USD Bn)
  • 8.4.1. Discrete Industry
    • 8.4.1.1. Automotive
    • 8.4.1.2. Marine & Transportation
    • 8.4.1.3. Industrial machinery
    • 8.4.1.4. Medical devices
    • 8.4.1.5. Semiconductor and Electronics
    • 8.4.1.6. Others (Aerospace and Defense, etc.)
  • 8.4.2. Process Industry
    • 8.4.2.1. Pharmaceuticals
    • 8.4.2.2. Mining and Metals
    • 8.4.2.3. Chemicals
    • 8.4.2.4. Pulp and Paper
    • 8.4.2.5. Others (Cable, etc.)
• 8.5. By Country (USD Bn)
  • 8.5.1. United Kingdom
    • 8.5.1.1. By Solutions
  • 8.5.2. Germany
    • 8.5.2.1. By Solutions
  • 8.5.3. France
    • 8.5.3.1. By Solutions
  • 8.5.4. Italy
    • 8.5.4.1. By Solutions
  • 8.5.5. Spain
    • 8.5.5.1. By Solutions
  • 8.5.6. Rest of Europe

9. Asia Pacific Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 9.1. Key Findings
• 9.2. By Technology (USD Bn)
  • 9.2.1. Digital Twin
  • 9.2.2. Industrial IoT
  • 9.2.3. Industrial Robots
  • 9.2.4. Others (Machine Vision, etc.)
• 9.3. By Solutions (USD Bn)
  • 9.3.1. Industrial 3D Printers
  • 9.3.2. Programmable Logic Controller (PLC)
  • 9.3.3. Product Lifecycle Management (PLM)
  • 9.3.4. Manufacturing Execution System (MES)
  • 9.3.5. Robotic Process Automation (RPA)
  • 9.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 9.3.7. Others (Energy Management Solutions, etc.)
• 9.4. By Industry (USD Bn)
  • 9.4.1. Discrete Industry
    • 9.4.1.1. Automotive
    • 9.4.1.2. Marine & Transportation
    • 9.4.1.3. Industrial machinery
    • 9.4.1.4. Medical devices
    • 9.4.1.5. Semiconductor and Electronics
    • 9.4.1.6. Others (Aerospace and Defense, etc.)
  • 9.4.2. Process Industry
    • 9.4.2.1. Pharmaceuticals
    • 9.4.2.2. Mining and Metals
    • 9.4.2.3. Chemicals
    • 9.4.2.4. Pulp and Paper
    • 9.4.2.5. Others (Cable, etc.)
• 9.5. By Country (USD Bn)
  • 9.5.1. China
    • 9.5.1.1. By Solutions
  • 9.5.2. Japan
    • 9.5.2.1. By Solutions
  • 9.5.3. India
    • 9.5.3.1. By Solutions
  • 9.5.4. Southeast Asia
    • 9.5.4.1. By Solutions
  • 9.5.5. Rest of Asia Pacific

10. Middle East & Africa Smart Factory Market Size Estimates and Forecasts, By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Technology (USD Bn)
  • 10.2.1. Digital Twin
  • 10.2.2. Industrial IoT
  • 10.2.3. Industrial Robots
  • 10.2.4. Others (Machine Vision, etc.)
• 10.3. By Solutions (USD Bn)
  • 10.3.1. Industrial 3D Printers
  • 10.3.2. Programmable Logic Controller (PLC)
  • 10.3.3. Product Lifecycle Management (PLM)
  • 10.3.4. Manufacturing Execution System (MES)
  • 10.3.5. Robotic Process Automation (RPA)
  • 10.3.6. Supervisory Control and Data Acquisition (SCADA)
  • 10.3.7. Others (Energy Management Solutions, etc.)
• 10.4. By Industry (USD Bn)
  • 10.4.1. Discrete Industry
    • 10.4.1.1. Automotive
    • 10.4.1.2. Marine & Transportation
    • 10.4.1.3. Industrial machinery
    • 10.4.1.4. Medical devices
    • 10.4.1.5. Semiconductor and Electronics
    • 10.4.1.6. Others (Aerospace and Defense, etc.)
  • 10.4.2. Process Industry
    • 10.4.2.1. Pharmaceuticals
    • 10.4.2.2. Mining and Metals
    • 10.4.2.3. Chemicals
    • 10.4.2.4. Pulp and Paper
    • 10.4.2.5. Others (Cable, etc.)
• 10.5. By Country (USD Bn)
  • 10.5.1. GCC
    • 10.5.1.1. By Solutions
  • 10.5.2. South Africa
    • 10.5.2.1. By Solutions
  • 10.5.3. Rest of MEA

11. Company Profiles for Top 10 Key Players (Based on data availability in public domain and/or on paid databases)

• 11.1. ABB Ltd.
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Siemens AG
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Schneider Electric SE
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Emerson Electric Co.
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. General Electric
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Honeywell International, Inc.
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Mitsubishi Electric Corporation
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Robert Bosch GmbH
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Rockwell Automation, Inc.
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Fanuc Corporation
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not Product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways