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세계의 스마트 팩토리용 디지털 트윈 시장 분석과 예측(-2034년) : 유형, 제품, 서비스, 기술, 컴포넌트, 용도, 프로세스, 전개, 최종 사용자
Digital Twins for Smart Factories Market Analysis and Forecast to 2034: Type, Product, Services, Technology, Component, Application, Process, Deployment, End User
상품코드 : 1699147
리서치사 : Global Insight Services LLC
발행일 : 2025년 04월
페이지 정보 : 영문 451 Pages
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한글목차

세계의 스마트 팩토리용 디지털 트윈 시장은 2024년 35억 달러에서 2034년까지 116억 달러로 확장되며 CAGR 약 12.7%를 보일 것으로 예측됩니다. 이러한 디지털 모델은 실시간 모니터링, 예지보전, 제조 오퍼레이션의 최적화를 가능하게 합니다. IoT, AI, 데이터 분석을 통합하여 생산성 향상과 운영 비용 절감을 실현합니다.

시장 개요:

스마트 팩토리용 디지털 트윈 시장은 주로 인더스트리 4.0의 도입 확대와 업무 효율 향상의 요구에 따라 견조한 확대를 보여주고 있습니다. 이 이점은 실시간 데이터 분석과 IoT 연결의 통합을 통해 지원되며, 이는 예지 보전 및 프로세스 최적화를 실현하는 데 매우 중요합니다. 이러한 추세가 증가함에 따라 디지털 트윈을 활용하여 복잡한 조립 작업을 간소화하고 제품 수명주기 관리를 개선하고 있습니다. 보다 큰 영향은 디지털 트윈 솔루션에 인공지능과 머신러닝을 통합하여 스마트 팩토리 운영에 혁명을 일으켜 의사 결정 능력을 강화하고 산업 자동화의 새로운 시대를 촉진합니다.

시장 세분화
유형 제품 디지털 트윈, 공정 디지털 트윈, 시스템 디지털 트윈
제품 시뮬레이션 소프트웨어, 디지털 트윈 플랫폼, 통합 솔루션
서비스 컨설팅 서비스, 구현 서비스, 지원 및 유지보수
기술 IoT, AI 및 머신러닝, 블록체인, 클라우드 컴퓨팅, 에지 컴퓨팅, 5G, AR/VR, 빅 데이터 분석
구성요소 센서, 커넥티비티 솔루션, 데이터 관리
신청 예측 보전, 성능 모니터링, 자산 및 재고 관리, 에너지 관리, 공급망 관리
프로세스 이산 제조, 연속 제조, 배치 제조
배포 온프레미스, 클라우드 기반, 하이브리드
최종 사용자 자동차, 항공우주 및 방위, 헬스케어, 일렉트로닉스 및 반도체, 에너지·유틸리티, 식음료, 화학제품

스마트 팩토리용 디지털 트윈 시장은 하드웨어 컴포넌트보다 소프트웨어 플랫폼과 서비스가 중요시되는 등 다양한 양상을 보이고 있는 것이 특징입니다. 지역별로는 유럽과 북미가 선진적인 산업 인프라와 인더스트리 4.0 구상의 중시에 의해 채용의 최전선에 있습니다. 경쟁 구도는 Siemens, General Electric, Dassault Systemes과 같은 기술 대기업의 경쟁 격화를 목격하고 있으며, 각사는 전략적 인수와 제휴를 통해 제공 서비스를 강화하고 있습니다. 향후에 대해서는 예지보전이나 업무 효율의 향상이 기대되는 IoT나 인공지능의 진보에 견인되어, 시장은 강력한 성장을 이룰 자세입니다.

주요 동향과 촉진요인:

스마트 팩토리용 디지털 트윈 시장은 인더스트리 4.0 기술의 진전과 IoT의 도입 확대로 강력한 성장을 이루고 있습니다. 이를 통해 제조업체는 비용을 크게 절감할 수 있습니다. 또 다른 원동력은 지속가능성과 에너지 효율성의 중요성입니다. 디지털 트윈 솔루션을 전개하기 위한 확장 가능하고 유연한 인프라를 제공합니다. 또한, 특정의 업계의 요구에 맞추어 디지털 트윈 모델을 커스터마이즈 하는 움직임도 활성화하고 있습니다. 디지털 전환을 지원하는 정부의 정책에 힘입어 스마트 팩토리 구상이 기세를 늘리고 있는 신흥 시장에는 기회가 넘쳐나고 있습니다.

억제와 도전:

스마트 팩토리를 위한 디지털 트윈 마켓에는 몇 가지 주목할만한 시장 성장 억제요인과 과제가 있습니다. 주요 저해 요인은 도입에 상당한 초기 투자가 필요한 것이며, 이것이 중소기업에 있어서 이러한 기술의 채용을 망설이게 하는 요인이 되고 있습니다. 게다가, 기존의 레거시 시스템과 디지털 트윈을 통합하는 복잡성은 기술적으로 큰 과제이며, 종종 조직 내에서 쉽게 이용할 수 없는 전문 지식이 필요합니다. 데이터 보안 및 개인정보 보호에 대한 우려도 가장 중요하며, 연결성과 데이터 교환 증가로 인해 공장은 잠재적인 사이버 위협에 노출될 수 있습니다. 또한 표준화된 프로토콜이나 프레임워크가 없기 때문에 서로 다른 디지털 트윈 솔루션 간의 상호 운용성 문제가 있습니다. 마지막으로, 기술 진보의 급속한 페이스는 진부화를 초래할 수 있고, 기업은 곧 시대에 뒤처질 수 있는 기술에 대한 투자를 주저할 수 있습니다. 이러한 과제는 전체적으로 스마트 팩토리에서 디지털 트윈의 보급과 성장을 방해합니다.

목차

제1장 스마트 팩토리용 디지털 트윈 시장 개요

제2장 주요 요약

제3장 시장에 관한 중요 인사이트

제4장 스마트 팩토리용 디지털 트윈 시장 전망

제5장 스마트 팩토리용 디지털 트윈 시장 전략

제6장 스마트 팩토리용 디지털 트윈 시장 규모

제7장 스마트 팩토리용 디지털 트윈 시장 : 유형별

제8장 스마트 팩토리용 디지털 트윈 시장 : 제품별

제9장 스마트 팩토리용 디지털 트윈 시장 : 서비스별

제10장 스마트 팩토리용 디지털 트윈 시장 : 기술별

제11장 스마트 팩토리용 디지털 트윈 시장 : 컴포넌트별

제12장 스마트 팩토리용 디지털 트윈 시장 : 용도별

제13장 스마트 팩토리용 디지털 트윈 시장 : 프로세스별

제14장 스마트 팩토리용 디지털 트윈 시장 : 전개별

제15장 스마트 팩토리용 디지털 트윈 시장 : 최종 사용자별

제16장 스마트 팩토리용 디지털 트윈 시장 :지역별

제17장 경쟁 구도

제18장 기업 프로파일

JHS
영문 목차

영문목차

Digital Twins for Smart Factories Market is anticipated to expand from $3.5 billion in 2024 to $11.6 billion by 2034, growing at a CAGR of approximately 12.7%. The market encompasses virtual replicas of physical factory assets, processes, and systems. These digital models enable real-time monitoring, predictive maintenance, and optimization of manufacturing operations. They integrate IoT, AI, and data analytics to enhance productivity and reduce operational costs. As Industry 4.0 advances, the demand for digital twins in smart factories grows, driven by the need for increased efficiency, flexibility, and sustainability in manufacturing processes.

Market Overview:

The Digital Twins for Smart Factories Market is experiencing robust expansion, primarily fueled by the increasing adoption of Industry 4.0 and the need for enhanced operational efficiency. The manufacturing segment stands as the leading market segment, driven by its critical role in optimizing production processes and reducing downtime. This dominance is underpinned by the integration of real-time data analytics and IoT connectivity, which are pivotal in achieving predictive maintenance and process optimization. Emerging sub-segments such as the automotive and aerospace industries are gaining momentum, leveraging digital twins to streamline complex assembly operations and improve product lifecycle management. The potential impact of these sub-segments is significant, as they promise to drive innovation in supply chain management and quality assurance. Furthermore, the incorporation of artificial intelligence and machine learning within digital twin solutions is set to revolutionize smart factory operations, enhancing decision-making capabilities and fostering a new era of industrial automation.

Market Segmentation
TypeProduct Digital Twin, Process Digital Twin, System Digital Twin
ProductSimulation Software, Digital Twin Platforms, Integrated Solutions
ServicesConsulting Services, Implementation Services, Support and Maintenance
TechnologyIoT, AI and Machine Learning, Blockchain, Cloud Computing, Edge Computing, 5G, AR/VR, Big Data Analytics
ComponentSensors, Connectivity Solutions, Data Management
ApplicationPredictive Maintenance, Performance Monitoring, Asset and Inventory Management, Energy Management, Supply Chain Management
ProcessDiscrete Manufacturing, Continuous Manufacturing, Batch Manufacturing
DeploymentOn-Premises, Cloud-Based, Hybrid
End UserAutomotive, Aerospace and Defense, Healthcare, Electronics and Semiconductors, Energy and Utilities, Food and Beverages, Chemicals

The Digital Twins for Smart Factories market is characterized by a diverse landscape where software platforms and services are gaining prominence over hardware components. This shift is attributed to the growing emphasis on seamless integration and real-time data analytics, which are crucial for optimizing manufacturing processes. Geographically, Europe and North America are at the forefront of adoption, driven by their advanced industrial infrastructure and emphasis on Industry 4.0 initiatives. Meanwhile, the Asia-Pacific region is rapidly emerging as a key player, fueled by significant investments in smart manufacturing technologies and government support. In terms of competitive and regulatory influences, the market is witnessing intensified competition among technology giants such as Siemens, General Electric, and Dassault Systemes, who are enhancing their offerings through strategic acquisitions and collaborations. Regulatory frameworks, particularly in Europe, are increasingly focusing on data privacy and security, thereby impacting the deployment strategies of digital twins. Looking ahead, the market is poised for robust growth, driven by advancements in IoT and artificial intelligence that promise to enhance predictive maintenance and operational efficiency. Nonetheless, challenges such as interoperability issues and high implementation costs remain, necessitating continued innovation and collaboration across the industry.

Geographical Overview:

The Digital Twins for Smart Factories market is witnessing diverse growth patterns across global regions. North America leads the charge, propelled by technological innovation and substantial investments in Industry 4.0. The region's strong manufacturing base and focus on digital transformation drive digital twin adoption. Europe follows closely, with its emphasis on smart manufacturing and sustainability. The European Union's policies on digitalization and green manufacturing bolster the market. Asia Pacific is experiencing rapid expansion, fueled by industrial growth and government initiatives supporting smart factories. Countries like China and Japan are at the forefront, investing in cutting-edge technologies to enhance manufacturing efficiency. The region's competitive manufacturing sector further accelerates digital twin integration. In Latin America, the market is emerging, driven by increasing awareness and investments in smart manufacturing technologies. Brazil and Mexico are key players, focusing on modernizing their industrial sectors. The Middle East & Africa are gradually recognizing the potential of digital twins. Investments in smart infrastructure and technology are beginning to gain traction, aiming to boost economic growth and innovation.

Recent Development:

In recent months, the Digital Twins for Smart Factories market has experienced notable developments. Siemens announced a strategic partnership with NVIDIA to integrate their digital twin technology with NVIDIA's Omniverse platform, enhancing real-time simulation capabilities for smart factories. General Electric (GE) launched a new suite of digital twin solutions tailored for the manufacturing sector, promising improved efficiency and predictive maintenance. Meanwhile, IBM formed a joint venture with a leading European manufacturing consortium to co-develop digital twin applications, focusing on sustainability and energy efficiency. In a significant merger and acquisition move, PTC acquired a smaller digital twin technology firm to bolster its smart factory offerings, aiming to accelerate innovation and market reach. Lastly, a regulatory update from the European Union introduced new guidelines for digital twin technologies, emphasizing data security and interoperability, which are expected to influence market dynamics and adoption rates across the continent. These events underscore the rapid evolution and strategic importance of digital twins in the manufacturing industry.

Key Trends and Drivers:

The Digital Twins for Smart Factories Market is experiencing robust growth, driven by advancements in Industry 4.0 technologies and the increasing adoption of IoT. A key trend is the integration of AI and machine learning with digital twin technology, enabling predictive maintenance and real-time analytics. This enhances operational efficiency and reduces downtime, offering significant cost savings for manufacturers. Another driver is the growing emphasis on sustainability and energy efficiency. Digital twins facilitate better resource management and energy optimization, aligning with global sustainability goals. The rise of cloud computing and edge computing is also crucial, providing scalable and flexible infrastructure for deploying digital twin solutions. Furthermore, the customization of digital twin models to meet specific industry needs is gaining traction. This trend allows for tailored solutions that address unique challenges across different manufacturing sectors. Opportunities abound in emerging markets where smart factory initiatives are gaining momentum, driven by government policies supporting digital transformation. Companies that offer innovative, cost-effective solutions are well-positioned to capitalize on this expanding market.

Restraints and Challenges:

The Digital Twins for Smart Factories Market encounters several notable restraints and challenges. A primary restraint is the substantial initial investment required for implementation, which can deter smaller enterprises from adopting these technologies. Additionally, the complexity of integrating digital twins with existing legacy systems poses significant technical challenges, often necessitating specialized expertise that may not be readily available within organizations. Data security and privacy concerns are also paramount, as the increased connectivity and data exchange can expose factories to potential cyber threats. Furthermore, there is a lack of standardized protocols and frameworks, leading to interoperability issues between different digital twin solutions. Lastly, the rapid pace of technological advancements can result in obsolescence, where companies may hesitate to invest in technologies that could quickly become outdated. These challenges collectively impede the widespread adoption and growth of digital twins in smart factories.

Key Companies:

Altair Engineering, Ansys, AVEVA Group, PTC, Dassault Systemes, Hexagon AB, Siemens Digital Industries Software, Bentley Systems, Autodesk, Rockwell Automation, Aspen Technology, Emulate 3D, Tacton Systems, Sight Machine, Cognite, Lanner Group, TIBCO Software, Predictive Engineering, Sim Scale, Maplesoft

Sources:

U.S. Department of Energy - Advanced Manufacturing Office, European Commission - Digital Transformation, International Organization for Standardization (ISO) - Smart Manufacturing, United Nations Industrial Development Organization (UNIDO), National Institute of Standards and Technology (NIST) - Smart Manufacturing Systems Group, World Economic Forum - Shaping the Future of Advanced Manufacturing and Production, Institute of Electrical and Electronics Engineers (IEEE) - Digital Twin Initiative, International Society of Automation (ISA) - Smart Manufacturing & IIoT, Fraunhofer Institute for Manufacturing Engineering and Automation, Massachusetts Institute of Technology (MIT) - Industrial Performance Center, University of Cambridge - Institute for Manufacturing, Technical University of Munich - Institute for Advanced Study, International Conference on Industry 4.0 and Smart Manufacturing, Hannover Messe - Digital Factory, Smart Manufacturing Experience, Industrial Internet Consortium (IIC) - Digital Twin Interoperability Task Group, World Manufacturing Forum, International Conference on Smart Systems and Technologies, European Manufacturing Strategies Summit, Global Smart Manufacturing Summit

Research Scope:

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1: Digital Twins for Smart Factories Market Overview

2: Executive Summary

3: Premium Insights on the Market

4: Digital Twins for Smart Factories Market Outlook

5: Digital Twins for Smart Factories Market Strategy

6: Digital Twins for Smart Factories Market Size

7: Digital Twins for Smart Factories Market, by Type

8: Digital Twins for Smart Factories Market, by Product

9: Digital Twins for Smart Factories Market, by Services

10: Digital Twins for Smart Factories Market, by Technology

11: Digital Twins for Smart Factories Market, by Component

12: Digital Twins for Smart Factories Market, by Application

13: Digital Twins for Smart Factories Market, by Process

14: Digital Twins for Smart Factories Market, by Deployment

15: Digital Twins for Smart Factories Market, by End User

16: Digital Twins for Smart Factories Market, by Region

17: Competitive Landscape

18: Company Profiles

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