세계의 스마트 제조 시장 : 기술, 컴포넌트, 유형, 모듈, 전개 유형, 최종사용자, 최종 이용 산업, 용도별 - 예측(2025-2030년)

The Smart Manufacturing Market was valued at USD 207.75 billion in 2023 and is projected to grow to USD 234.57 billion in 2024, with a CAGR of 13.27%, reaching USD 497.20 billion by 2030.

In today's rapidly evolving industrial environment, smart manufacturing stands at the forefront of technological innovation and operational excellence. This emerging paradigm integrates advanced technologies with traditional production methods to create adaptive, efficient, and scalable systems. Manufacturing operations are transitioning away from legacy processes towards digitally enabled, data-driven models, enabling improved decision-making and more agile responses to market dynamics.

This transformation is marked by relentless progress in automation, computational power, and connectivity, allowing manufacturers to optimize production processes in real time. As global competition intensifies, organizations are compelled to incorporate smart technologies to reduce costs, enhance product quality, and become more resilient in the face of supply chain disruptions. The convergence of digital and physical systems is redefining industrial landscapes, empowering manufacturers to harness previously untapped efficiencies.

The broader narrative of smart manufacturing is underpinned by the blending of hardware, software, and services, which collectively enable unprecedented levels of process visibility and control. Emerging trends such as the integration of sensor technology, real-time analytics, and connected devices offer pathways to reimagine production methodologies. By leveraging these innovative approaches, manufacturers not only enhance operational performance but also gain a competitive edge in a market that demands agility and precision. Through this detailed overview, the stage is set for a deeper exploration into the transformative shifts, segmentation insights, regional dynamics, and influential market players shaping this exciting landscape.

Transformative Shifts Redefining the Smart Manufacturing Landscape

The smart manufacturing landscape is undergoing transformative shifts driven by the rapid integration of cutting-edge technologies and innovative business models. Traditional manufacturing processes are being disrupted by the advent of digital tools that seamlessly connect the operational core with intelligent analytics and automation systems. This evolution is not merely incremental; it is a fundamental change in how production is conceptualized and executed.

Technological breakthroughs, including the convergence of cyber-physical systems and the Internet of Things, are propelling industry forward by enabling real-time data exchange across vast networks of machinery and sensors. As complex data streams are harnessed more effectively, production strategies are shifting from reactive troubleshooting to proactive system optimization. This shift is most apparent in the move towards systems that anticipate failures and adjust processes dynamically based on operational insights.

At the heart of this transformation is the move towards a smarter, more responsive production environment. Companies are embracing advanced analytics to predict maintenance needs before they result in costly downtime, while real-time monitoring allows for precise adjustments to energy consumption and resource allocation. Furthermore, the integration of technologies such as augmented reality and robotics is redefining traditional roles within manufacturing, requiring a cross-disciplinary blend of engineering, IT, and management expertise. These changes drive a culture of continuous improvement, where agility, efficiency, and data-driven insights form the cornerstone of modern industrial strategies.

Key Insights from Market Segmentation Analysis

Deep dive segmentation analysis reveals a multi-faceted view of the smart manufacturing market, where various factors come together to define the structure of the industry. When evaluated from a technological perspective, the study spans a range of innovations including 3D printing, artificial intelligence augmented by machine learning, immersive augmented and virtual reality experiences, robust big data analytics, secure blockchain implementations, and advanced cloud and cognitive computing environments. The insights extend further into cybersecurity, the industrial internet of things, and the deployment of cutting-edge robotics and automation systems, reflecting a comprehensive technological overhaul.

Component analysis further dissects the market into hardware, software, and services realms. In the hardware domain, there is a focused examination of connectivity devices, controllers, processors, sensors and actuators, and transmitters. The services component emphasizes consulting, integration, and ongoing support and maintenance. Meanwhile, the software segment is meticulously categorized into enterprise resource planning, manufacturing execution systems, and product lifecycle management solutions. This multi-dimensional approach ensures that every facet of manufacturing-from machinery and maintenance to enterprise software-is captured, providing holistic insights.

The segmentation based on type distinguishes between discrete and process manufacturing, highlighting the unique challenges and solutions associated with each production style. Moreover, the market is further segmented by modules such as automation control systems, communication systems, and monitoring and surveillance systems; where the former includes distributed control systems, industrial robotics, programmable logic controllers, and supervisory control and data acquisition systems. Monitoring and surveillance are refined into access control, condition monitoring, predictive maintenance, and video surveillance systems, ensuring an in-depth assessment of security and operational resilience.

Additional segmentation layers include the deployment types, dividing the market into on-cloud and on-premise solutions, and an examination of end users, distinguishing between large organizations and small to medium-sized enterprises. Analysis further extends to the end use industries such as aerospace and defence, automotive, chemicals and materials, electronics, food and agriculture, healthcare and pharmaceuticals, industrial equipment, and oil and gas. Finally, application-based segmentation covers essential functions like condition monitoring, energy management, inventory and warehouse management, predictive maintenance, production process optimization, quality management, and supply chain and logistics management. This layered segmentation approach provides a detailed framework to understand market demands, investment areas, and strategic priorities across the spectrum.

Based on Technology, market is studied across 3D Printing, AI and Machine Learning, Augmented Reality (AR) & Virtual Reality (VR), Big Data Analytics, Blockchain, Cloud Computing, Cognitive Computing, Cybersecurity, Industrial Internet of Things, and Robotics & Automation.

Based on Components, market is studied across Hardware, Services, and Software. The Hardware is further studied across Connectivity Devices, Controllers, Processors, Sensors and Actuators, and Transmitters. The Services is further studied across Consulting Services, Integration Services, and Support & Maintenance. The Software is further studied across Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Product Lifecycle Management (PLM).

Based on Type, market is studied across Discrete Manufacturing and Process Manufacturing.

Based on Module, market is studied across Automation Control Systems, Communication Systems, and Monitoring & Surveillance Systems. The Automation Control Systems is further studied across Distributed Control Systems (DCS), Industrial Robotics, Programmable Logic Controllers (PLCs), and Supervisory Control and Data Acquisition (SCADA). The Monitoring & Surveillance Systems is further studied across Access Control Systems, Condition Monitoring Systems, Predictive Maintenance Systems, and Video Surveillance Systems.

Based on Deployment Type, market is studied across On-Cloud and On-Premise.

Based on End Users, market is studied across Large Organizations and Small & Medium-Sized Enterprises.

Based on End Use Industry, market is studied across Aerospace & Defence, Automotive, Chemicals & Materials, Electronics, Food & Agriculture, Healthcare & Pharmaceuticals, Industrial Equipment, and Oil & Gas.

Based on Application, market is studied across Condition Monitoring, Energy Management, Inventory & Warehouse Management, Predictive Maintenance, Production Process Optimization, Quality Management, and Supply Chain & Logistics Management.

Regional Dynamics Driving the Smart Manufacturing Market

Regional dynamics play a critical role in shaping the trajectory of smart manufacturing, where distinct economic and regulatory landscapes lead to unique market challenges and opportunities. In North America, the landscape is driven by a strong emphasis on technological integration and digital transformation, where established industries leverage advanced manufacturing solutions to maintain global leadership. Regions spanning Europe, the Middle East, and Africa reveal a blend of mature markets and emerging economies that are increasingly investing in smart infrastructure and industrial modernization.

Across the Asia-Pacific, rapid industrialization coupled with a robust technology adoption culture has fostered an environment where smart manufacturing initiatives are scaling quickly. These regions are characterized by a convergence of high production volumes and significant investments in research and development, resulting in accelerated deployment of smart systems. When analyzed collectively, these regional insights underscore the importance of adapting technology solutions to meet the local nuances of regulatory frameworks, infrastructure readiness, and market maturity, ensuring that global strategies are aligned with regional priorities.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Insights on Leading Enterprises Shaping the Market

The competitive landscape of smart manufacturing is defined by a robust cadre of leading enterprises that are guiding the evolution of industry practices on a global scale. Industry frontrunners such as 3D Systems Corporation and ABB Ltd. have long been recognized for their pioneering work in integrating advanced manufacturing techniques with digital solutions. The market also includes influential innovators like Altair Engineering, Inc. and Andea Solutions Sp. z o.o. who are leveraging precision engineering along with state-of-the-art automation skills.

Further adding to this dynamic ecosystem are companies including Augury Inc., Bright Machines, Inc., and Cisco Systems, Inc., whose contributions are setting benchmarks in communication and connectivity within the industrial domain. The advancement of vision and precision is further exemplified by the initiatives from Cognex Corporation and Emerson Electric Co., while Epicor Software Corporation and Fanuc Corporation bring forward comprehensive software and robotics solutions that reshape production paradigms.

Notably, companies such as Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, and General Vision Inc. have all played pivotal roles in customizing manufacturing processes to meet industry-specific demands. Leaders like Honeywell International Inc., Intel Corporation, and International Business Machines Corporation continue to drive large-scale digital integration. The global scope of the market is further expanded by contributions from Kuka AG, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., and Progress Software Corporation. This collective excellence is rounded out by notable players including PTC Inc., Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, SparkCognition, Inc., Stratasys Ltd., Telefonaktiebolaget LM Ericsson, Texas Instruments Incorporated, Xometry Europe GmbH, and Yokogawa Electric Corporation. Their strategic initiatives not only set industry standards but also foster a competitive environment where innovation remains the primary driver of transformation.

The report delves into recent significant developments in the Smart Manufacturing Market, highlighting leading vendors and their innovative profiles. These include 3D Systems Corporation, ABB Ltd., Altair Engineering, Inc., Andea Solutions Sp. z o.o., Augury Inc., Bright Machines, Inc., Cisco Systems, Inc., Cognex Corporation, Emerson Electric Co., Epicor Software Corporation, Fanuc Corporation, Fruitcore Robotics GmbH, Fujitsu Limited, General Electric Company, General Vision Inc., Honeywell International Inc., Intel Corporation, International Business Machines Corporation, Kuka AG, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Path Robotics, Inc., Progress Software Corporation, PTC Inc., Rockwell Automation, Inc., SAP SE, Schneider Electric SE, Siemens AG, SparkCognition, Inc., Stratasys Ltd., Telefonaktiebolaget LM Ericsson, Texas Instruments Incorporated, Xometry Europe GmbH, and Yokogawa Electric Corporation. Actionable Recommendations for Industry Leaders

Industry leaders must focus on embracing digital transformation by investing in scalable and flexible technology solutions that not only meet current needs but also future-proof their operations. It is crucial to align strategic priorities with advances in automation, sensor integration, and advanced analytics, which will support real-time decision-making and process optimization. Leaders should foster continuous development and invest in cross-functional teams that blend technical expertise with operational insights to drive efficiency and innovation.

Furthermore, the integration of systems that support predictive maintenance and advanced monitoring can significantly enhance operational uptime and reduce costs over time. Organizations are well-advised to seek partnerships with technology providers who offer comprehensive support across hardware, software, and service domains. By embedding an agile mindset into corporate strategies, decision-makers can navigate shifting market conditions, mitigate supply chain interruptions, and capitalize on emerging opportunities.

Innovation should be at the core of every strategic initiative, with ongoing investment in research and development to harness the full potential of technologies such as artificial intelligence, machine learning, and robotics. It is also recommended to adopt integrated platforms that facilitate seamless communication between disparate systems, ensuring a unified operational framework. These proactive measures will help in building a resilient and future-ready manufacturing infrastructure that stands poised to lead the market in the coming years.

Conclusion: Summarizing the Smart Manufacturing Outlook

In summary, the evolution of smart manufacturing is a multifaceted journey that encompasses transformative technology shifts, detailed segmentation insights, robust regional dynamics, and the influence of leading global enterprises. The integration of digital tools with traditional manufacturing methods is reshaping the industry, driving efficiency, innovation, and competitive advantage. As companies continue to adapt to these changes, the promise of enhanced productivity and operational excellence remains within reach.

This comprehensive overview underscores the critical importance of aligning strategy with technological advancement and regional market nuances. By embracing a holistic approach that integrates both hardware and software innovations along with dedicated service frameworks, organizations are well-equipped to thrive in this dynamic environment. The future of smart manufacturing is not just about adopting new technology, but about rethinking and redefining the entire production ecosystem.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rise of industry 4.0 technologies and automation trends
    • 5.1.1.2. Growing emphasis on predictive maintenance and real-time monitoring for enhanced productivity
    • 5.1.1.3. Expanding robotics integration to automate repetitive tasks and enhance production line efficiency
  • 5.1.2. Restraints
    • 5.1.2.1. Limited awareness and acceptance of advanced technologies in traditional manufacturing
  • 5.1.3. Opportunities
    • 5.1.3.1. Introduction of next generation smart manufacturing solutions
    • 5.1.3.2. Rising investments in cybersecurity solutions to safeguard valuable data
  • 5.1.4. Challenges
    • 5.1.4.1. Integration of smart manufacturing systems into existing infrastructure
• 5.2. Market Segmentation Analysis
  • 5.2.1. Technology: Growing demand for robotics & automation to enhance precision and efficiency in repetitive tasks
  • 5.2.2. Components: Preference for hardware in smart manufacturing for ensuring consistent quality
  • 5.2.3. Type: Strategic advances and trends in discrete and process manufacturing within the smart manufacturing landscape
  • 5.2.4. Module: Exploring the integration and advancements in smart manufacturing modules for optimized operations
  • 5.2.5. Deployment Type: Rising demand for on cloud deployment for flexibility, scalability, and cost-effectiveness
  • 5.2.6. End Users: Utilization of smart manufacturing by large organizations to implement cutting-edge innovations
  • 5.2.7. End Use Industry: Adoption of smart manufacturing in the chemical & material sector to maintain high-quality standards
  • 5.2.8. Application: Usage of smart manufacturing in inventory & warehouse management

to ensure operational efficiency and minimize downtime

• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Smart Manufacturing Market, by Technology

• 6.1. Introduction
• 6.2. 3D Printing
• 6.3. AI and Machine Learning
• 6.4. Augmented Reality (AR) & Virtual Reality (VR)
• 6.5. Big Data Analytics
• 6.6. Blockchain
• 6.7. Cloud Computing
• 6.8. Cognitive Computing
• 6.9. Cybersecurity
• 6.10. Industrial Internet of Things
• 6.11. Robotics & Automation

7. Smart Manufacturing Market, by Components

• 7.1. Introduction
• 7.2. Hardware
  • 7.2.1. Connectivity Devices
  • 7.2.2. Controllers
  • 7.2.3. Processors
  • 7.2.4. Sensors and Actuators
  • 7.2.5. Transmitters
• 7.3. Services
  • 7.3.1. Consulting Services
  • 7.3.2. Integration Services
  • 7.3.3. Support & Maintenance
• 7.4. Software
  • 7.4.1. Enterprise Resource Planning (ERP)
  • 7.4.2. Manufacturing Execution Systems (MES)
  • 7.4.3. Product Lifecycle Management (PLM)

8. Smart Manufacturing Market, by Type

• 8.1. Introduction
• 8.2. Discrete Manufacturing
• 8.3. Process Manufacturing

9. Smart Manufacturing Market, by Module

• 9.1. Introduction
• 9.2. Automation Control Systems
  • 9.2.1. Distributed Control Systems (DCS)
  • 9.2.2. Industrial Robotics
  • 9.2.3. Programmable Logic Controllers (PLCs)
  • 9.2.4. Supervisory Control and Data Acquisition (SCADA)
• 9.3. Communication Systems
• 9.4. Monitoring & Surveillance Systems
  • 9.4.1. Access Control Systems
  • 9.4.2. Condition Monitoring Systems
  • 9.4.3. Predictive Maintenance Systems
  • 9.4.4. Video Surveillance Systems

10. Smart Manufacturing Market, by Deployment Type

• 10.1. Introduction
• 10.2. On-Cloud
• 10.3. On-Premise

11. Smart Manufacturing Market, by End Users

• 11.1. Introduction
• 11.2. Large Organizations
• 11.3. Small & Medium-Sized Enterprises

12. Smart Manufacturing Market, by End Use Industry

• 12.1. Introduction
• 12.2. Aerospace & Defence
• 12.3. Automotive
• 12.4. Chemicals & Materials
• 12.5. Electronics
• 12.6. Food & Agriculture
• 12.7. Healthcare & Pharmaceuticals
• 12.8. Industrial Equipment
• 12.9. Oil & Gas

13. Smart Manufacturing Market, by Application

• 13.1. Introduction
• 13.2. Condition Monitoring
• 13.3. Energy Management
• 13.4. Inventory & Warehouse Management
• 13.5. Predictive Maintenance
• 13.6. Production Process Optimization
• 13.7. Quality Management
• 13.8. Supply Chain & Logistics Management

14. Americas Smart Manufacturing Market

• 14.1. Introduction
• 14.2. Argentina
• 14.3. Brazil
• 14.4. Canada
• 14.5. Mexico
• 14.6. United States

15. Asia-Pacific Smart Manufacturing Market

• 15.1. Introduction
• 15.2. Australia
• 15.3. China
• 15.4. India
• 15.5. Indonesia
• 15.6. Japan
• 15.7. Malaysia
• 15.8. Philippines
• 15.9. Singapore
• 15.10. South Korea
• 15.11. Taiwan
• 15.12. Thailand
• 15.13. Vietnam

16. Europe, Middle East & Africa Smart Manufacturing Market

• 16.1. Introduction
• 16.2. Denmark
• 16.3. Egypt
• 16.4. Finland
• 16.5. France
• 16.6. Germany
• 16.7. Israel
• 16.8. Italy
• 16.9. Netherlands
• 16.10. Nigeria
• 16.11. Norway
• 16.12. Poland
• 16.13. Qatar
• 16.14. Russia
• 16.15. Saudi Arabia
• 16.16. South Africa
• 16.17. Spain
• 16.18. Sweden
• 16.19. Switzerland
• 16.20. Turkey
• 16.21. United Arab Emirates
• 16.22. United Kingdom

17. Competitive Landscape

• 17.1. Market Share Analysis, 2023
• 17.2. FPNV Positioning Matrix, 2023
• 17.3. Competitive Scenario Analysis
  • 17.3.1. TCS expands AI horizons with launch of NVIDIA business unit for industry-specific solutions
  • 17.3.2. ECI Software solutions expands manufacturing portfolio with smart manufacturing ERP profitKey
  • 17.3.3. Deloitte enhances smart manufacturing capabilities with efficientia solutions acquisition
  • 17.3.4. LG advances smart manufacturing with AI integration
  • 17.3.5. SME Media launches initiative to empower small manufacturers with smart technologies
  • 17.3.6. Siemens and Foxconn partner to revolutionize smart manufacturing and sustainability
  • 17.3.7. Delta showcases innovations in smart manufacturing and E-mobility at Hannover Messe 2024
  • 17.3.8. Eaton advances smart manufacturing for enhanced efficiency and sustainability
  • 17.3.9. INFICON expands smart manufacturing capabilities with FabTime acquisition
  • 17.3.10. RIC Technology launches new automated robotic arm construction 3D printer
  • 17.3.11. Mitsubishi Corporation partners with ThinkIQ to propel smart manufacturing in Japan
  • 17.3.12. ABB's smart robotic automation solutions propel Volvo Cars towards sustainability goals
  • 17.3.13. Mitsubishi Electric enhances Indian market presence with innovative smart manufacturing facility
  • 17.3.14. Honeywell enhances building automation with USD 4.95 Billion Carrier acquisition
• 17.4. Strategy Analysis & Recommendation
  • 17.4.1. Siemens AG
  • 17.4.2. Honeywell International Inc.
  • 17.4.3. Mitsubishi Electric Corporation
  • 17.4.4. ABB Ltd.

Companies Mentioned

• 1. 3D Systems Corporation
• 2. ABB Ltd.
• 3. Altair Engineering, Inc.
• 4. Andea Solutions Sp. z o.o.
• 5. Augury Inc.
• 6. Bright Machines, Inc.
• 7. Cisco Systems, Inc.
• 8. Cognex Corporation
• 9. Emerson Electric Co.
• 10. Epicor Software Corporation
• 11. Fanuc Corporation
• 12. Fruitcore Robotics GmbH
• 13. Fujitsu Limited
• 14. General Electric Company
• 15. General Vision Inc.
• 16. Honeywell International Inc.
• 17. Intel Corporation
• 18. International Business Machines Corporation
• 19. Kuka AG
• 20. Mitsubishi Electric Corporation
• 21. Nvidia Corporation
• 22. Oracle Corporation
• 23. Path Robotics, Inc.
• 24. Progress Software Corporation
• 25. PTC Inc.
• 26. Rockwell Automation, Inc.
• 27. SAP SE
• 28. Schneider Electric SE
• 29. Siemens AG
• 30. SparkCognition, Inc.
• 31. Stratasys Ltd.
• 32. Telefonaktiebolaget LM Ericsson
• 33. Texas Instruments Incorporated
• 34. Xometry Europe GmbH
• 35. Yokogawa Electric Corporation