제조업 시장의 미래 – 2030년까지의 세계 예측

Future of Manufacturing Market – Global Forecast to 2030

제조업 시장의 미래 – 디지털 팩토리, 마이크로 팩토리, 기가 팩토리, 기술(클라우드 매뉴팩처링, 엣지 컴퓨팅, 디지털 트윈, AR/VR, 5G/6G), 디자인(모듈, 모바일, 통합 및 가능한 팩토리), 사이버 보안 – 2030년까지 세계 예측

Future of Manufacturing Market by Digital Factory, Micro Factory, Giga Factory, Technology (Cloud Manufacturing, Edge Computing, Digital Twin, AR/VR, 5G/6G), Design (Modular, Mobile, Integrated and Sustainable Factory), Cybersecurity – Global Forecast to 2030

　　　　주문/문의　　　　조사회사/라이센스/납기안내

Report Overview

The future of manufacturing is rapidly evolving with a focus on a human-centric approach, integrating AI, robotics, and automation to boost productivity while prioritizing workers’ well-being. Sustainability is crucial, with factories adopting renewable energy, zero-waste practices, and eco-friendly materials. Customization is transforming production by utilizing flexible systems that enable mass personalization. The future of manufacturing will be led by AI, digital twins, and collaborative robots. The AI in manufacturing market is projected to reach ~USD 46 billion by 2030, growing at a CAGR of 47%, while the digital twin market is expected to hit ~USD 150 billion, at a CAGR of ~60%. The collaborative robot market is predicted to reach ~USD 12 billion at a CAGR of ~35% during 2025–2030.

제조업의 미래는 인간 중심 접근 방식에 중점을 두고 AI, 로봇공학, 자동화를 통합하여 생산성을 높이고 작업자의 복지를 우선시하면서 빠르게 진화하고 있습니다. 재생 가능 에너지, 폐기물 제로 관행, 친환경 소재를 채택하는 공장에서는 지속 가능성이 매우 중요합니다.
맞춤화는 대량 개인화를 가능하게 하는 유연한 시스템을 활용하여 생산을 변화시키는 것입니다. 제조업의 미래는 AI, 디지털 트윈, 협동로봇이 주도할 것입니다. 제조 시장의 AI는 CAGR 47%로 성장해 2030년까지 약 460억 달러에 이를 것으로 예상되며, 디지털 트윈 시장은 CAGR 약 60%로 약 1,500억 달러에 이를 것으로 예상됩니다. 협동 로봇 시장은 2025년부터 2030년까지 연평균 성장률(CAGR) 35%로 성장해 120억 달러 규모에 이를 것으로 예상됩니다.

주요 게재 내용

• 이그제큐티브 요약
• 제조업 진화
• 제조업의 미래를 지향하는 중요한 기술과 동향
  • 디지털 공장
    • 제조업에서 사용되는 인공지능(AI)
    • IoT 및 에지 컴퓨팅
    • 부가 제조
    • 디지털 트윈
    • 클라우드 매뉴팩처링
    • 증강 현실(AR) 및 가상 현실(VR)
    • 양자 컴퓨팅
    • 블록체인
    • 연결성(5G & 6G)
  • 마이크로 팩토리
  • 기가팩토리
  • 협동 로봇(코봇)
• 제조업의 미래 – 특성 정의
• 2030년 세계의 제조업 세력도
  • 북미
  • 유럽
  • 아시아 태평양 지역
    • 인도
  • 기타 지역(RoW)
• 중요한 도전과 위험
• 정리 – 2030년 이후 제조업 전망

Looking beyond 2030, manufacturing will become more adaptive with AI-driven communications between machines and workers, deep sustainability practices, and decentralized manufacturing hubs for quicker responses. Continuous workforce reskilling will be essential to managing advanced technologies. Business owners will develop a micro factory and a gigafactory to meet diverse manufacturing demands over the next 5–10 years while redefining job roles and collaborating with educational institutions for tailored training.

Cobots are changing the face of manufacturing as they allow more flexible, efficient, and human-centric production environments. Unlike industrial robots, cobots are designed to safely work alongside human operators, helping with repetitive or physically demanding tasks. This collaboration boosts productivity by allowing workers to focus on more complex tasks that drive innovation. Since programming and reconfiguration are convenient for cobots and perfect for high-mix and low-volume industries, they lower the barriers of automation by letting smaller manufacturers take off on automation with them. They have superior sensors, making it safe to stop or slow movement for accidents, thus making for a more harmonious working space. Manufacturing will be more agile as they implement cobots, a blend of human creativity and robotic precision, to shape a more resilient and responsive manufacturing landscape to meet the changing global demands.

“Digital Twins are Driving the Future of Manufacturing by Enhancing Efficiency and Innovation”

Digital twin technology plays a vital role in the transformation of the manufacturing by innovating its manufacturing systems towards increased productivity and a focused orientation to sustainable development. The latest survey of the manufacturers conducted by Altair Engineering on the Global Digital Twin Survey revealed that 71% of the manufacturers are using the concept of digital twin technology with an understanding of the effect of transforming their operations. The use of technology is prevalent in increasing supply chain efficiency, decreasing the time to introduce products in the market, and enhancing their quality without risking the waste of resources and social responsibility. For instance, Boeing applies digital twins in product design and testing, in addition to its application in product maintenance, to lower assembly time and maintenance costs and improve the probability of errors. BMW uses digital twin technology to replicate, develop, and optimize the instantiation of cars with respect to their integrated performance and safety. They are also being adopted by governments, with the US putting money towards a semiconductor manufacturing digital twin and the United Kingdom creating a national digital twin center. A BMW- Dassault Systèmes, LG Innotek, and NVIDIA combination is taking digital twins into other industries to make its industrial application more fatal to smartening factory floors and driving digital transformation.

“Transforming Manufacturing with IoT and Edge Computing Innovations”

IoT and edge computing are innovative solutions that are rapidly changing the landscape of the manufacturing by allowing producers always to track and analyze the status of the equipment and its usage as well as potential problems. Such real-time data collection is the basis of prognostics and preventative maintenance, vastly decreasing overall equipment downtime and lengthening the machines’ durability. Based on research, using smart components as a solution can help companies decrease equipment failures by 70% and maintenance expenses by 25% while enhancing energy efficiency and all-around manufacturing effectiveness. For example, the Italian cement company Armal S.p.A., through IoT, managed to cut energy costs by 40 percent by tracking the energy spending of the machinery. For instance, Hershey realized cost savings of USD 0.5 million for every 1% decrease in candy size per 14,000-gallon batch through IoT sensors for production. These innovations are paving the way for smart and optimized manufacturing environments globally.

“North America is revolutionizing its manufacturing sector by embracing advanced technologies”

The manufacturing industry in North America is experiencing a special dynamic shift, predicting continued production dominance through the year 2030. The US, Canada, and Mexico are now focusing on manufacturing with innovative technologies and using sustainable resources to construct factories. Major improvements are noted in using various smart technologies such as artificial intelligence (AI) and digital twins. US Departments of Defense and Energy are funding AI projects that involve research into semiconductor material and improving the application of digital twins in manufacturing. On the other hand, Canada has been funding projects promoting new types of jobs – accelerating the industrial development of the manufacturing sector and promoting a more diverse population in the region’s work market. These efforts are critical in building the strength of the region’s manufacturing base and its sustainable and innovative future industry.

Research Coverage:

This report examines the future of manufacturing and considers what could happen in terms of advancing automation, smart factory capability, industrial hubs, and more sustainable manufacturing practices. Such an analysis would provide a forward-looking outlook for industry participants navigating the evolving landscape marked by technological innovation and environmental responsibility.

Report Scope

This report insightfully analyzes the transformation trends that will transform manufacturing beyond recognition. Major focus areas are integrating cognitive and immersive technologies, smart and sustainable factories, interconnected manufacturing hubs, innovative approaches toward operational efficiency, revenue diversification, improved production capabilities, and how manufacturing will support the circular economy. Such insights are invaluable for manufacturers, investors, technology providers, and policy-makers seeking to secure competitive advantage while keeping their strategies aligned with future developments in the industry.

Table of Contents

1               EXECUTIVE SUMMARY

2               EVOLUTION OF MANUFACTURING

2.1           HISTORICAL CONTEXT: FROM INDUSTRY 1.0 TO 5.0

2.2           KEY DRIVERS SHAPING FUTURE OF MANUFACTURING

3               KEY TECHNOLOGIES AND TRENDS SHAPING FUTURE OF MANUFACTURING

3.1           DIGITAL FACTORY

3.1.1        AI IN MANUFACTURING

3.1.2        IOT AND EDGE COMPUTING

3.1.3        ADDITIVE MANUFACTURING

3.1.4        DIGITAL TWIN

3.1.5        CLOUD MANUFACTURING AND DECENTRALIZED MANUFACTURING

3.1.6        AR/VR

3.1.7        QUANTUM COMPUTING

3.1.8        BLOCKCHAIN

3.1.9        CONNECTIVITY (5G & 6G)

3.2           MICROFACTORIES

3.3           GIGAFACTORIES

3.4           COLLABORATIVE ROBOTS (COBOTS)

4               FUTURE OF MANUFACTURING: DEFINING CHARACTERISTICS

4.1           DATA-DRIVEN DECISION-MAKING

4.2           INTEROPERABILITY AND SYSTEM INTEGRATION

4.3           CYBERSECURITY AND RESILIENCE IN SMART FACTORIES

4.4           FOCUS ON SUSTAINABILITY

5               GLOBAL LANDSCAPE OF MANUFACTURING IN 2030

5.1           NORTH AMERICA

5.2           EUROPE

5.3           ASIA PACIFIC

5.3.1        INDIA

5.3.1.1    Emerging Markets in India

5.3.1.1.1 Semiconductor

5.3.1.1.2 Gigafactories

5.3.1.1.3 Defense and Aviation

5.3.1.1.4 Data Centers

5.4           REST OF THE WORLD

6               KEY CHALLENGES AND RISKS

6.1           CYBERSECURITY THREATS IN SMART FACTORIES

6.2           CHALLENGES OF MANAGING TECHNOLOGICAL DISRUPTIONS

7               CONCLUSION: VISION FOR MANUFACTURING BEYOND 2030

*This is a tentative table of contents, and there might be a few changes during the study