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市场调查报告书
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1503345

到 2030 年的数位双胞胎市场预测：按类型、部署、公司规模、技术、应用程式、最终用户和地区进行的全球分析

Digital Twin Market Forecasts to 2030 - Global Analysis By Type (Parts Twin, Product Twin, Process Twin, System Twin and Other Types), Deployment, Enterprise Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2024年全球数位双胞胎市场规模将达到176亿美元，预计2030年将达到1,138亿美元，预测期内复合年增长率为36.5%。

数位双胞胎是实体物件、流程或系统的虚拟表示，可实现即时模拟、监控和分析。它使用从感测器、物联网设备和其他来源收集的资料来反映物理实体的特征、行为和性能。这种副本可以在不影响实体物件或流程的情况下实现预测洞察、场景测试和最佳化。随着数位孪生的发展，它们将为智慧城市、高效工厂、个人化医疗、永续实践以及产业如何在日益互联的世界中创新和营运做出贡献，彻底改变我们创造价值的方式。

工业4.0的兴起

数位双胞胎在这项转型中发挥着至关重要的作用，可实现实体资产和流程的即时监控、预测性维护和虚拟模拟。随着工厂和企业采用智慧技术和物联网设备，对数位双胞胎优化业务效率、缩短产品开发週期和减少停机时间的需求不断增加。这种市场扩张是由对敏捷和响应系统的需求推动的，这些系统利用人工智慧和分析来提高数位整合生态系统中的生产力、品管和永续性工作。

实施成本高

高实施成本包括初始设定成本，包括硬体、软体和与现有系统的集成，以及持续的维护和培训。对于预算有限的小型组织和部门来说，儘管数位孪生技术具有效率和创新等潜在好处，但这些成本可能会阻碍对数位双胞胎技术的投资。此外，高成本会延迟投资报酬率的实现、影响决策并减缓市场成长。

对永续性的承诺

数位双胞胎使您能够透过预测分析和即时监控来优化能源消耗、最大限度地减少废弃物并提高业务效率。透过模拟场景和分析资料，企业可以发现绿色实践和永续创新的机会。对永续性的关注正在推动製造、能源、运输和建筑等行业对数位双胞胎技术的投资，因为它符合监管要求和消费者对环保实践的期望，促进市场成长。

资料管理挑战

资料管理挑战是数位双胞胎市场成长和有效性的主要障碍。处理来自不同来源的大量即时资料、确保资料品质和一致性以及维护资料安全和隐私等挑战阻碍了采用和利用。整合来自不同系统的资料以及维护平台之间的互通性的复杂性使数位双胞胎的部署更加复杂。这些挑战可能会导致决策延迟、洞察不准确以及营运成本增加。

COVID-19 的影响

数位双胞胎有助于远端监控、预测性维护、虚拟仿真，即使在实体操作中断期间也能实现连续性。製造、医疗保健和零售等行业利用数位双胞胎来增强弹性、提高供应链效率并确保安全通讯协定。在因经济不确定性而遭受最初的挫折之后，疫情凸显了数位转型的重要性，并促使对数位双胞胎技术的投资增加。这种向数位化的转变预计将在大流行后继续下去，推动全球数位双胞胎市场的进一步创新和扩张。

预计在预测期内，製程孪生产业将成为最大的产业

流程孪生预计将在预测期内成为最大的市场，因为它提高了业务效率、减少了停机时间并改善了品管。汽车、製药和食品加工等产业都依赖流程孪生来进行预测性维护、流程优化和法规遵循。数位双胞胎的专业使用不仅可以节省成本和提高生产力，还可以促进流程自动化和持续改进的创新。

预测性维护产业预计在预测期内复合年增长率最高

透过即时资料分析和模拟持续监控设备健康状况，数位双胞胎在故障发生之前预测维护需求，预测性维护领域预计将在预测期内出现最高的复合年增长率。製造业、能源和交通运输等行业将透过简化维护计划和资源分配而受益匪浅。

占比最大的地区：

预计北美在预测期内将占据最大的市场占有率。这是因为机器人流程自动化 (RPA)、虚拟实境 (VR) 和物联网等技术正在兴起，并开始影响数位双胞胎产业。美国国际商业机器公司、微软公司、通用电气等大公司都在有效地开发新产品和增强现有产品，以吸引客户并扩大市场占有率。

复合年增长率最高的地区：

由于数位基础设施的兴起、产出的增加、技术采用的改善等，预计亚太地区在预测期内将保持最高的复合年增长率。此外，在智慧城市计划中使用数位双胞胎以及政府积极推动数位化措施正在为市场创造强劲的成长机会。此外，日本的数位双胞胎市场在机器人领域正在取得显着进展。日本公司和研究机构处于利用人工智慧创建执行各种任务的创新机器人的最前线。

免费客製化服务

订阅此报告的客户将收到以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球数位双胞胎市场：依类型

  • 零件双胞胎
  • 产品孪生
  • 进程孪生
  • 系统孪生
  • 其他类型

第六章全球数位双胞胎市场：依发展划分

  • 云
  • 本地

第七章全球数位双胞胎市场：依公司规模分类

  • 中小企业
  • 大公司

第八章全球数位双胞胎市场：依技术分类

  • 物联网（IoT）
  • AI（人工智慧）和机器学习
  • AR/VR（扩增实境/虚拟实境）
  • 巨量资料分析
  • 区块链
  • 5G连接
  • 其他技术

第九章全球数位双胞胎市场：依应用分类

  • 预测性维护
  • 产品设计与开发
  • 效能监控
  • 资产和库存管理
  • 业务优化
  • 模拟与训练
  • 其他用途

第10章全球数位双胞胎市场：依最终用户分类

  • 製造业
  • 卫生保健
  • 汽车/交通
  • 航太和国防
  • 能源/公共产业
  • 建筑/房地产
  • 零售
  • 农业
  • 通讯
  • 其他最终用户

第十一章全球数位双胞胎市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • ABB Group
  • Amazon Web Services, Inc.
  • ANSYS Inc.
  • Autodesk Inc.
  • AVEVA Group plc
  • Bentley Systems Inc.
  • Dassault Systemes SE
  • General Electric
  • Hexagon AB
  • Hitachi Ltd.
  • IBM Corporation
  • Microsoft Corporation
  • PTC Inc.
  • Robert Bosch GmbH
  • Rockwell Automation
  • SAP SE
  • Siemens AG
Product Code: SMRC26511

According to Stratistics MRC, the Global Digital Twin Market is accounted for $17.6 billion in 2024 and is expected to reach $113.8 billion by 2030 growing at a CAGR of 36.5% during the forecast period. A digital twin is a virtual representation of a physical object, process, or system that allows for real-time simulation, monitoring, and analysis. It mirrors the physical entity's characteristics, behaviour, and performance using data collected from sensors, IoT devices, and other sources. This digital counterpart enables predictive insights, scenario testing, and optimization without impacting the actual object or process. As digital twins evolve, they contribute to smarter cities, efficient factories, personalized healthcare, and sustainable practices, revolutionizing how industries innovate, operate, and deliver value in an increasingly interconnected world.

Market Dynamics:

Driver:

Rise of industry 4.0

Digital twins play a pivotal role in this transformation, enabling real-time monitoring, predictive maintenance, and virtual simulations of physical assets and processes. As factories and enterprises adopt smart technologies and IoT devices, the demand for digital twins grows to optimize operational efficiency, enhance product development cycles, and reduce downtime. This market expansion is driven by the need for agile, responsive systems that leverage AI and analytics to improve productivity, quality control, and sustainability initiatives in a digitally integrated ecosystem.

Restraint:

High implementation costs

High implementation costs encompass initial setup expenses, including hardware, software, and integration with existing systems, as well as ongoing maintenance and training. For smaller organizations and sectors with tighter budgets, these expenses can deter investment in digital twin technologies despite their potential benefits in efficiency and innovation. Additionally, high costs may delay ROI realization, impacting decision-making and slowing market growth.

Opportunity:

Focus on sustainability initiatives

Digital twins enable industries to optimize energy consumption, minimize waste, and enhance operational efficiencies through predictive analytics and real-time monitoring. By simulating scenarios and analyzing data, organizations can identify opportunities for eco-friendly practices and sustainable innovations. This emphasis on sustainability aligns with regulatory requirements and consumer expectations for environmentally responsible practices, thereby encouraging investment in digital twin technologies across sectors such as manufacturing, energy, transportation, and construction drive the market growth.

Threat:

Data management challenges

Data management challenges pose a significant obstacle to the digital twin market's growth and effectiveness. Issues such as handling large volumes of real-time data from diverse sources, ensuring data quality and consistency, and maintaining data security and privacy can hinder implementation and utilization. Complexities in integrating data from various systems and maintaining interoperability across platforms further complicate digital twin deployments. These challenges may lead to delays in decision-making, inaccurate insights, and increased operational costs.

Covid-19 Impact

Digital twins facilitated remote monitoring, predictive maintenance, and virtual simulations, enabling continuity amid disruptions to physical operations. Industries such as manufacturing, healthcare, and retail leveraged digital twins to enhance resilience, improve supply chain efficiency, and ensure safety protocols. Despite initial setbacks due to economic uncertainties, the pandemic underscored the importance of digital transformation, driving increased investments in digital twin technologies. This shift towards digitalization is expected to persist post-pandemic, fueling further innovation and expansion in the digital twin market globally.

The process twin segment is expected to be the largest during the forecast period

The process twin is expected to be the largest during the forecast period as it enhance operational efficiency, reduce downtime, and improve quality control. Industries such as automotive, pharmaceuticals, and food processing leverage process twins for predictive maintenance, process optimization, and compliance with regulatory standards. This specialized application of digital twins not only drives cost savings and productivity gains but also fosters innovation in process automation and continuous improvement.

The predictive maintenance segment is expected to have the highest CAGR during the forecast period

The predictive maintenance segment is expected to have the highest CAGR during the forecast period by continuously monitoring equipment health through real-time data analytics and simulations, digital twins predict maintenance needs before failures occur. as this proactive approach enhances reliability, extends asset lifespan, and improves overall operational efficiency. Industries such as manufacturing, energy, and transportation benefit significantly, streamlining maintenance schedules and resource allocation.

Region with largest share:

North America is projected to hold the largest market share during the forecast period attributed to the emergence of technologies, such as Robotic Process Automation (RPA), Virtual Reality (VR), and the IoT, which has started to influence the digital twin industry. Key companies in the U.S., such as International Business Machines Corporation, Microsoft Corporation, and General Electric, are effectively working on new product development and enhancement of existing products to acquire customers and capture more market shares.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period owing to rising digital infrastructure, increasing manufacturing output, and improved technological adoption, among others. Furthermore, the utilization of digital twins in smart city projects, and supportive government initiatives for digitalization are creating robust growth opportunities for the market. Moreover the digital twin market in Japan has made remarkable progress in the field of robotics. Japanese companies and research institutions have been at the forefront of creating innovative robots that leverage AI to perform various tasks.

Key players in the market

Some of the key players in Digital Twin market include ABB Group, Amazon Web Services, Inc. , ANSYS Inc., Autodesk Inc., AVEVA Group plc, Bentley Systems Inc., Dassault Systemes SE, General Electric, Hexagon AB, Hitachi Ltd., IBM Corporation, Microsoft Corporation, PTC Inc., Robert Bosch GmbH, Rockwell Automation, SAP SE and Siemens AG

Key Developments:

In June 2024, ABB launches next-generation Robotics control platform OmniCore. The OmniCore platform, the result of more than $170 million of investment in next generation robotics, is a step change to a modular and futureproof control architecture

In June 2024, ABB expands electrification portfolio with acquisition of Siemens' Wiring Accessories business in China. The offering ABB is acquiring includes wiring accessories, smart home systems, smart door locks and further peripheral home automation products

In June 2024, Valeo Partners with Dassault Systemes to Accelerate the Digitalization of Its R&D. The deployment will help Valeo develop the technologies needed to make the car more electrified, autonomous and software driven. It will also support the optimization of the company's research and development expenses.

Types Covered:

  • Parts Twin
  • Product Twin
  • Process Twin
  • System Twin
  • Other Types

Deployments Covered:

  • Cloud
  • On-Premise

Enterprise Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • IoT (Internet of Things)
  • AI (Artificial Intelligence) & Machine Learning
  • AR/VR (Augmented Reality/Virtual Reality)
  • Big Data Analytics
  • Blockchain
  • 5G Connectivity
  • Other Technologies

Applications Covered:

  • Predictive Maintenance
  • Product Design & Development
  • Performance Monitoring
  • Asset & Inventory Management
  • Business Optimization
  • Simulation & Training
  • Other Applications

End Users Covered:

  • Manufacturing
  • Healthcare
  • Automotive & Transportation
  • Aerospace & Defense
  • Energy & Utilities
  • Construction & Real Estate
  • Retail
  • Agriculture
  • Telecommunications
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Digital Twin Market, By Type

  • 5.1 Introduction
  • 5.2 Parts Twin
  • 5.3 Product Twin
  • 5.4 Process Twin
  • 5.5 System Twin
  • 5.6 Other Types

6 Global Digital Twin Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premise

7 Global Digital Twin Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small and Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Digital Twin Market, By Technology

  • 8.1 Introduction
  • 8.2 IoT (Internet of Things)
  • 8.3 AI (Artificial Intelligence) & Machine Learning
  • 8.4 AR/VR (Augmented Reality/Virtual Reality)
  • 8.5 Big Data Analytics
  • 8.6 Blockchain
  • 8.7 5G Connectivity
  • 8.8 Other Technologies

9 Global Digital Twin Market, By Application

  • 9.1 Introduction
  • 9.2 Predictive Maintenance
  • 9.3 Product Design & Development
  • 9.4 Performance Monitoring
  • 9.5 Asset & Inventory Management
  • 9.6 Business Optimization
  • 9.7 Simulation & Training
  • 9.8 Other Applications

10 Global Digital Twin Market, By End User

  • 10.1 Introduction
  • 10.2 Manufacturing
  • 10.3 Healthcare
  • 10.4 Automotive & Transportation
  • 10.5 Aerospace & Defense
  • 10.6 Energy & Utilities
  • 10.7 Construction & Real Estate
  • 10.8 Retail
  • 10.9 Agriculture
  • 10.10 Telecommunications
  • 10.11 Other End Users

11 Global Digital Twin Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 ABB Group
  • 13.2 Amazon Web Services, Inc.
  • 13.3 ANSYS Inc.
  • 13.4 Autodesk Inc.
  • 13.5 AVEVA Group plc
  • 13.6 Bentley Systems Inc.
  • 13.7 Dassault Systemes SE
  • 13.8 General Electric
  • 13.9 Hexagon AB
  • 13.10 Hitachi Ltd.
  • 13.11 IBM Corporation
  • 13.12 Microsoft Corporation
  • 13.13 PTC Inc.
  • 13.14 Robert Bosch GmbH
  • 13.15 Rockwell Automation
  • 13.16 SAP SE
  • 13.17 Siemens AG

List of Tables

  • Table 1 Global Digital Twin Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Digital Twin Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Digital Twin Market Outlook, By Parts Twin (2022-2030) ($MN)
  • Table 4 Global Digital Twin Market Outlook, By Product Twin (2022-2030) ($MN)
  • Table 5 Global Digital Twin Market Outlook, By Process Twin (2022-2030) ($MN)
  • Table 6 Global Digital Twin Market Outlook, By System Twin (2022-2030) ($MN)
  • Table 7 Global Digital Twin Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 8 Global Digital Twin Market Outlook, By Deployment (2022-2030) ($MN)
  • Table 9 Global Digital Twin Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 10 Global Digital Twin Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 11 Global Digital Twin Market Outlook, By Enterprise Size (2022-2030) ($MN)
  • Table 12 Global Digital Twin Market Outlook, By Small and Medium Enterprises (SMEs) (2022-2030) ($MN)
  • Table 13 Global Digital Twin Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 14 Global Digital Twin Market Outlook, By Technology (2022-2030) ($MN)
  • Table 15 Global Digital Twin Market Outlook, By IoT (Internet of Things) (2022-2030) ($MN)
  • Table 16 Global Digital Twin Market Outlook, By AI (Artificial Intelligence) & Machine Learning (2022-2030) ($MN)
  • Table 17 Global Digital Twin Market Outlook, By AR/VR (Augmented Reality/Virtual Reality) (2022-2030) ($MN)
  • Table 18 Global Digital Twin Market Outlook, By Big Data Analytics (2022-2030) ($MN)
  • Table 19 Global Digital Twin Market Outlook, By Blockchain (2022-2030) ($MN)
  • Table 20 Global Digital Twin Market Outlook, By 5G Connectivity (2022-2030) ($MN)
  • Table 21 Global Digital Twin Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 22 Global Digital Twin Market Outlook, By Application (2022-2030) ($MN)
  • Table 23 Global Digital Twin Market Outlook, By Predictive Maintenance (2022-2030) ($MN)
  • Table 24 Global Digital Twin Market Outlook, By Product Design & Development (2022-2030) ($MN)
  • Table 25 Global Digital Twin Market Outlook, By Performance Monitoring (2022-2030) ($MN)
  • Table 26 Global Digital Twin Market Outlook, By Asset & Inventory Management (2022-2030) ($MN)
  • Table 27 Global Digital Twin Market Outlook, By Business Optimization (2022-2030) ($MN)
  • Table 28 Global Digital Twin Market Outlook, By Simulation & Training (2022-2030) ($MN)
  • Table 29 Global Digital Twin Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 30 Global Digital Twin Market Outlook, By End User (2022-2030) ($MN)
  • Table 31 Global Digital Twin Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 32 Global Digital Twin Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 33 Global Digital Twin Market Outlook, By Automotive & Transportation (2022-2030) ($MN)
  • Table 34 Global Digital Twin Market Outlook, By Aerospace & Defense (2022-2030) ($MN)
  • Table 35 Global Digital Twin Market Outlook, By Energy & Utilities (2022-2030) ($MN)
  • Table 36 Global Digital Twin Market Outlook, By Construction & Real Estate (2022-2030) ($MN)
  • Table 37 Global Digital Twin Market Outlook, By Retail (2022-2030) ($MN)
  • Table 38 Global Digital Twin Market Outlook, By Agriculture (2022-2030) ($MN)
  • Table 39 Global Digital Twin Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 40 Global Digital Twin Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.