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市场调查报告书
商品编码
1481351

数位孪生市场规模 - 按应用（产品设计和开发、机器和设备健康监测、流程支援和服务）、最终用途（製造、医疗保健、汽车、航太和国防、能源）和预测，2024 年 - 2032 年

Digital Twin Market Size - By Application (Product Design & Development, Machine & Equipment Health Monitoring, Process Support & Service), By End Use (Manufacturing, Healthcare, Automotive, Aerospace & Defense, Energy) & Forecast, 2024 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

价格
简介目录

由于各产业领导者之间的合作不断增加，全球数位孪生市场在 2024 年至 2032 年间的复合年增长率将超过 33%。数位孪生是实体物件或流程的虚拟复製品，正在彻底改变製造、医疗保健和运输等产业。产业巨头之间的合作透过汇集资源、专业知识和技术来推动这一成长。例如，2024 年 4 月，西门子和微软宣布与 W3C 联盟合作，表明他们致力于使数位孪生定义语言 (DTDL) 与国际标准组织 W3C 制定的事物描述标准保持一致。

这些合作伙伴关係促进创新并加速开发适合特定行业需求的先进数位孪生解决方案。西门子、通用电气和 IBM 等公司正在与新创公司和研究机构联手，推动数位孪生市场向前发展。这些合作不仅增强了产品供应，还提高了营运效率、预测性维护和决策流程。随着业界认识到数位孪生的好处，需求持续激增，从而催生了充满活力且不断扩大的市场。

整个数位孪生产业根据应用、最终用户和地区进行分类。

机器和设备健康监测领域将从 2024 年到 2032 年经历严格的发展。透过创建实体资产的虚拟副本，企业可以监控温度、振动和能源消耗等参数。这种主动维护方法可确保最佳效能、延长设备使用寿命并降低营运成本。随着各行业越来越多地采用数位孪生进行全面健康监测，对这些解决方案的需求持续增长，推动了数位孪生市场的成长。

从 2024 年到 2032 年，能源和公用事业领域的数位孪生市场份额将实现显着的复合年增长率。它们可以即时监控发电厂、电网和管道等资产，优化性能并提高可靠性。透过创建实体系统的虚拟副本，数位孪生可以促进预测性维护，减少停机时间和营运成本。此外，它们还有助于能源效率管理，使公司能够监控和优化能源消耗。随着能源和公用事业部门越来越多地采用数位孪生来应对这些挑战，对此类解决方案的需求持续快速增长。

亚太地区数位孪生市场将在2024年至2032年呈现出值得称讚的复合年增长率。製造、汽车和医疗保健等行业正在利用数位孪生来优化流程、提高效率并降低成本。此外，智慧城市计画和基础设施开发项目正在推动数位孪生在城市规划和管理中的采用。因此，亚太地区对数位孪生技术的需求持续成长，为市场扩张和创新创造了大量机会。例如，2024 年 3 月，班加罗尔的数位孪生计画得到了来自业界、新创企业、学术界和中小微型企业的杰出领导者、创新者和远见者的热烈参与和热情。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 数位孪生平台提供商
    • 自动化公司
    • 经销商
    • 终端用户
  • 利润率分析
  • 数位孪生的演变
  • 技术与创新格局
  • 专利分析
  • 用例
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 越来越多采用物联网、巨量资料分析和云端平台
      • 数位孪生在供应链管理 (SCM) 中的应用越来越广泛
      • 工业 4.0 的快速采用
      • 增加工业物联网在设计与製造上的使用
    • 产业陷阱与挑战
      • 开发数位孪生成本高昂
      • 缺乏标准化框架和协议
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章：市场估计与预测：按应用分类 2018 - 2032

  • 主要趋势
  • 产品设计与开发
  • 机器设备健康监测
  • 流程支援和服务

第 6 章：市场估计与预测：依最终用途，2018 年 - 2032 年

  • 主要趋势
  • 製造业
  • 卫生保健
  • 汽车
  • 航太和国防
  • 能源和公用事业
  • 基础设施建筑
  • 零售和消费品
  • 其他的

第 7 章：市场估计与预测：按地区划分，2018 年 - 2032 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 俄罗斯
    • 北欧人
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地区
  • MEA
    • 海湾合作委员会
    • 南非
    • MEA 的其余部分

第 8 章：公司简介

  • Technology & platform players
  • Digital & automation players
简介目录
Product Code: 2196

Global Digital Twin Market will witness over 33% CAGR between 2024 and 2032 due to increasing collaborations between leading players in various industries. Digital twins, virtual replicas of physical objects or processes, are revolutionizing sectors like manufacturing, healthcare, and transportation. Collaborations among industry giants are propelling this growth by pooling resources, expertise, and technologies. For instance, in April 2024, Siemens and Microsoft announced a collaborative effort with the W3C Consortium, demonstrating their commitment to align the Digital Twin Definition Language (DTDL) with the Thing Description standard established by the international standards organization W3C.

These partnerships foster innovation and accelerate the development of advanced digital twin solutions tailored to specific industry needs. Companies like Siemens, GE, and IBM are joining forces with startups and research institutions, driving the digital twin market forward. These collaborations not only enhance product offerings but also improve operational efficiency, predictive maintenance, and decision-making processes. As industries recognize the benefits of digital twins, demand continues to surge, leading to a dynamic and expanding market.

The overall Digital Twin Industry is classified based on the application, end-user, and region.

The machine and equipment health monitoring segment will undergo rigorous development from 2024 to 2032. Digital twins offer real-time insights into the performance and condition of machinery, enabling predictive maintenance and minimizing downtime. By creating virtual replicas of physical assets, businesses can monitor parameters such as temperature, vibration, and energy consumption. This proactive approach to maintenance ensures optimal performance, extends equipment lifespan, and reduces operational costs. As industries increasingly adopt digital twins for comprehensive health monitoring, the demand for these solutions continues to rise, driving growth in the digital twin market.

The digital twin market share from the energy and utility segment will register a notable CAGR from 2024 to 2032. With complex infrastructures and the need for efficient operations, digital twins offer invaluable solutions. They enable real-time monitoring of assets like power plants, grids, and pipelines, optimizing performance and enhancing reliability. By creating virtual replicas of physical systems, digital twins facilitate predictive maintenance, reducing downtime and operational costs. Additionally, they aid in energy efficiency management, allowing companies to monitor and optimize energy consumption. As the energy and utility sector increasingly adopts digital twins to address these challenges, the demand for such solutions continues to grow rapidly.

Asia Pacific digital twin market will demonstrate a commendable CAGR from 2024 to 2032. With rapid industrialization and technological advancement, countries in the Asia Pacific are increasingly adopting digital twin solutions across various sectors. Industries such as manufacturing, automotive, and healthcare are leveraging digital twins to optimize processes, improving efficiency, and reducing costs. Additionally, smart city initiatives and infrastructure development projects are driving the adoption of digital twins for urban planning and management. As a result, the demand for digital twin technologies in the Asia-Pacific region continues to grow, creating substantial opportunities for market expansion and innovation. For instance, in March 2024, the Digital Twin initiative in Bangalore saw an impressive turnout and enthusiasm from distinguished leaders, innovators, and visionaries across industry, startups, academia, and MSMEs.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definition
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis, 2018 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Digital twin platform providers
    • 3.2.2 Automation companies
    • 3.2.3 Distributors
    • 3.2.4 End users
  • 3.3 Profit margin analysis
  • 3.4 Digital twin evolution
  • 3.5 Technology & innovation landscape
  • 3.6 Patent analysis
  • 3.7 Use cases
  • 3.8 Key news & initiatives
  • 3.9 Regulatory landscape
  • 3.10 Impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Growing adoption of IoT, big data analytics, and cloud platform
      • 3.10.1.2 Growing use of digital twin in supply chain management (SCM)
      • 3.10.1.3 Rapid adoption of industry 4.0
      • 3.10.1.4 Increasing usage of industrial IoT for design & manufacturing
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 High cost of developing digital twins
      • 3.10.2.2 Lack of standardized frameworks and protocols
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
    • 3.12.1 Supplier power
    • 3.12.2 Buyer power
    • 3.12.3 Threat of new entrants
    • 3.12.4 Threat of substitutes
    • 3.12.5 Industry rivalry
  • 3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Application 2018 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Product design and development
  • 5.3 Machine and equipment health monitoring
  • 5.4 Process support and service

Chapter 6 Market Estimates & Forecast, By End Use, 2018 - 2032 ($Bn)

  • 6.1 Key trends
  • 6.2 Manufacturing
  • 6.3 Healthcare
  • 6.4 Automotive
  • 6.5 Aerospace and defense
  • 6.6 Energy and utility
  • 6.7 Infrastructure buildings
  • 6.8 Retail and consumer goods
  • 6.9 Others

Chapter 7 Market Estimates & Forecast, By Region, 2018 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
  • 7.3 Europe
    • 7.3.1 UK
    • 7.3.2 Germany
    • 7.3.3 France
    • 7.3.4 Spain
    • 7.3.5 Italy
    • 7.3.6 Russia
    • 7.3.7 Nordics
    • 7.3.8 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 India
    • 7.4.3 Japan
    • 7.4.4 South Korea
    • 7.4.5 ANZ
    • 7.4.6 Southeast Asia
    • 7.4.7 Rest of Asia Pacific
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Mexico
    • 7.5.3 Argentina
    • 7.5.4 Rest of Latin America
  • 7.6 MEA
    • 7.6.1 GCC
    • 7.6.2 South Africa
    • 7.6.3 Rest of MEA

Chapter 8 Company Profiles

  • 8.1 Technology & platform players
    • 8.1.1 Accenture PLC
    • 8.1.2 Capgemini SE
    • 8.1.3 IBM Corporation
    • 8.1.4 Infosys Limited
    • 8.1.5 Microsoft Corporation
    • 8.1.6 Oracle Corporation
    • 8.1.7 PTC Inc.
    • 8.1.8 SAP SE
    • 8.1.9 SAS Institute Inc.
    • 8.1.10 TIBCO Software Inc.
    • 8.1.11 Wipro Limited
  • 8.2 Digital & automation players
    • 8.2.1 ABB Group
    • 8.2.2 Ansys Inc.
    • 8.2.3 Autodesk Inc.
    • 8.2.4 AVEVA Group Inc.
    • 8.2.5 Bentley Systems Incorporated
    • 8.2.6 Dassault Systems
    • 8.2.7 General Electric Company
    • 8.2.8 Robert Bosch GmbH
    • 8.2.9 Rockwell Automation
    • 8.2.10 Schneider Electric SE
    • 8.2.11 Siemens AG