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市场调查报告书
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1857029

全球数位双胞胎技术市场：未来预测（至2032年）－按孪生类型、组件、部署方法、公司规模、技术、应用、最终用户和地区进行分析

Digital Twin Technology Market Forecasts to 2032 - Global Analysis By Type of Twin, Component, Deployment Model, 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 的数据，预计到 2025 年，全球数位双胞胎技术市场规模将达到 202 亿美元，到 2032 年将达到 1,692 亿美元，预测期内复合年增长率将达到 35.4%。

数位双胞胎技术能够创建实体资产、系统和流程的虚拟副本，用于模拟、监控、预测性维护和设计最佳化。其应用场景涵盖製造业、能源、交通运输和医疗保健等行业，在这些行业中，数位副本能够减少停机时间并加快迭代速度。随着感测器、边缘运算、分析和人工智慧的普及，数位孪生技术的成长得益于其更高的保真度和更丰富的可操作性洞察。商业规模的应用需要强大的数据整合、标准化的模型以及经证实的投资回报率，以证明其部署和长期营运成本的合理性。

西门子表示，数位双胞胎技术已广泛应用于製造业，用于即时监控和预测性维护，身临其境型模拟和分析可将工厂停机时间减少高达 15%。

对高效设计和测试的需求

对更快、更经济高效且更高品质的产品开发的需求日益增长，推动了数位双胞胎技术的应用。透过建立实体资产的虚拟副本，企业可以在部署前模拟运行、侦测设计缺陷并优化效能。这种方法降低了原型製作成本，最大限度地减少了停机时间，并加快了产品上市速度。此外，汽车、航太和製造业等行业也受益于预测性维护和场景测试，从而提高了营运效率。而且，虚拟迭代设计的能力增强了工程团队之间的协作，从而增强了竞争优势并推动了全球市场成长。

熟练人员短缺

数位双胞胎技术的应用受到具备复杂建模、模拟和资料分析能力的专业人才短缺的限制。将数位双胞胎与物联网、人工智慧和云端平台整合需要多学科专业知识，而这在许多地区仍然十分匮乏。这种人才缺口会延缓解决方案的部署，增加营运风险，并提高寻求扩展解决方案的企业的成本。此外，企业通常还需在培训项目和第三方咨询方面投入大量资金。人才短缺仍然是一个重大瓶颈，尤其对于寻求有效实施数位双胞胎解决方案的中小型企业而言更是如此。

中小企业采用云端基础

云端基础的数位双胞胎解决方案使中小企业无需承担高昂的前期基础设施成本即可获得先进的模拟和分析功能。云端平台支援可扩展部署、即时监控以及与物联网设备的集成，帮助中小企业优化营运并改善决策。此外，订阅式定价降低了财务门槛，加速了製造业、能源和医疗保健等各行各业的采用。这一成长趋势带来了巨大的市场扩张机会，尤其是在新兴经济体，数位转型是中小企业的首要任务。

网路安全漏洞

数位双胞胎系统由于收集和处理大量的营运和设计数据，因此成为网路攻击的目标。安全漏洞、未授权存取和资料篡改都可能危及敏感的智慧财产权和业务连续性。此外，与物联网设备和云端平台的整合进一步扩大了潜在的攻击面。企业必须实施强大的加密、存取控制和威胁监控措施来降低风险。系统安全措施的缺失可能会削弱相关人员的信任，招致监管处罚，并扰乱业务运作。

新冠疫情的影响：

疫情加速了人们对数位双胞胎技术的兴趣。远端监控、模拟和预测性维护成为保障业务永续营运的关键，而供应链中断则凸显了复杂系统虚拟建模的必要性。然而，由于预算限制和现场访问受限，一些项目的实施遭遇了延误。总体而言，此次危机凸显了韧性、数位化应对力和远端营运能力的重要性，促使製造业、能源和医疗保健产业的企业优先考虑采用数位双胞胎技术，以提高长期效率、降低风险并加强策略规划。

预计在预测期内，双系统细分市场将是最大的细分市场。

预计在预测期内，系统孪生细分市场将占据最大的市场份额。系统孪生透过对整个生产和营运生态系统进行建模，提供全面的洞察，帮助企业提高生产效率、最大限度地减少停机时间并提升品质标准。它们能够整合即时感测器数据、分析和预测演算法，确保在复杂的流程中做出明智的决策。此外，系统孪生在合规性、永续性追踪和效能最佳化方面的应用也日益广泛。这些广泛的应用，加上製造业、汽车业和能源产业不断增长的投资，使得系统孪生细分市场成为市场收入的最大贡献者。

预计在预测期内，云端基础的细分市场将以最高的复合年增长率成长。

预计在预测期内，云端基础领域将实现最高成长率。云端基础数位双胞胎具有广泛的可访问性、经济高效的扩展性以及与人工智慧和物联网平台的轻鬆整合等优势，因此对追求敏捷性和效率的企业极具吸引力。此外，它们还支援预测分析、远端监控和协作工作流程，使其在製造业、能源和交通运输行业的重要性日益凸显。对营运效率的日益重视正在降低IT成本，而供应商的支援也进一步推动了云端数位孪生的普及。这些因素正在加速云端基础领域的复合年增长率。

区域份额

预计北美将在预测期内占据最大的市场份额。北美受惠于先进的工业基础设施、高物联网渗透率以及对工业4.0倡议的早期采用。对研发的大力投入、政府的支持性政策以及成熟的供应商生态系统进一步巩固了该地区的领先地位。此外，主要技术供应商以及大规模製造和能源公司的存在正在加速各行业数位双胞胎的整合。这些因素共同推动了系统级和组件级数数位双胞胎解决方案的创新、部署和应用，助力北美保持其在区域市场的主导地位并占据最大份额。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率。快速的工业化进程、政府对智慧製造不断增长的投资以及工业4.0技术的广泛应用，正在推动数位双胞胎部署的成长。此外，数位基础设施的崛起、物联网和云端运算的日益普及以及相关政策的支持，也鼓励国内外供应商拓展业务。该地区的新兴经济体正在采用经济高效的云端基础方案来优化製造、能源和运输流程。因此，预计亚太地区将实现最快的数位孪生应用和收入成长，从而在全球数位双胞胎市场中占据最高的复合年增长率。

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  • 公司简介
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  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖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 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球数位双胞胎技术市场（依孪生类型划分）

  • 组件孪生
  • 产品孪生
  • 流程孪生
  • 双子系统
  • 组织/资料孪生

6. 全球数位双胞胎技术市场（按组件划分）

  • 软体
    • 模拟软体
    • 分析软体
    • 其他软体
  • 服务
    • 咨询和整合服务
    • 支援和维护服务
  • 硬体

7. 全球数位双胞胎技术市场依部署方式划分

  • 本地部署
  • 云端基础的

第八章：依公司规模分類的全球数位双胞胎技术市场

  • 大公司
  • 小型企业

9. 全球数位双胞胎技术市场（依技术划分）

  • 物联网 (IoT)、工业IoT(IIoT)
  • 人工智慧（AI）和机器学习（ML）
  • 云端运算
  • 巨量资料分析
  • 扩增实境

第十章 全球数位双胞胎技术市场（依应用领域划分）

  • 产品设计与开发
  • 预测性维护、效能监控
  • 生产流程规划与最佳化
  • 业务优化
  • 库存和供应链管理
  • 资产管理

第十一章 全球数位双胞胎科技市场（依最终用户划分）

  • 製造业
  • 能源与公用事业
  • 基础设施和建筑
  • 医疗保健和生命科学
  • 零售和消费品
  • 运输/物流
  • 通讯
  • 农业
  • 其他最终用户

第十二章 全球数位双胞胎技术市场（按地区划分）

  • 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
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十三章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十四章：公司简介

  • Siemens AG
  • General Electric Company
  • Microsoft Corporation
  • IBM Corporation
  • SAP SE
  • PTC Inc.
  • Dassault Systemes
  • Honeywell International Inc.
  • Autodesk Inc.
  • Ansys Inc.
  • Oracle Corporation
  • ABB Ltd.
  • Hitachi Ltd.
  • Hexagon AB
  • AVEVA Group plc
  • Bentley Systems, Incorporated
  • Robert Bosch GmbH
  • Rockwell Automation, Inc.
  • Amazon Web Services, Inc.
  • Cognite AS
Product Code: SMRC31894

According to Stratistics MRC, the Global Digital Twin Technology Market is accounted for $20.2 billion in 2025 and is expected to reach $169.2 billion by 2032 growing at a CAGR of 35.4% during the forecast period. Digital twin technology creates virtual replicas of physical assets, systems, or processes for simulation, monitoring, predictive maintenance, and design optimization. Use cases span manufacturing, energy, transport, and healthcare where digital replicas reduce downtime and speed iteration. Growth is driven by sensor proliferation, edge compute, analytics, and AI that improve fidelity and actionable insights. Commercial scaling requires robust data integration, standardized models, and demonstrable ROI to justify deployment and long-term operational costs.

According to Siemens, digital twin technology is widely used in manufacturing for real-time monitoring and predictive maintenance, allowing plants to reduce downtime by up to 15% through immersive simulation and analytics.

Market Dynamics:

Driver:

Need for efficient design and testing

The rising demand for faster, cost-effective, and high-quality product development is driving adoption of digital twin technology. By creating virtual replicas of physical assets, organizations can simulate operations, detect design flaws, and optimize performance before deployment. This approach reduces prototyping costs, minimizes downtime, and accelerates time-to-market. Furthermore, industries such as automotive, aerospace, and manufacturing benefit from predictive maintenance and scenario testing, enhancing operational efficiency. Additionally, the ability to iterate designs virtually improves collaboration across engineering teams, strengthening competitive advantage and driving market growth globally.

Restraint:

Shortage of skilled talent

The adoption of digital twin technology is constrained by a lack of qualified professionals capable of handling complex modeling, simulation, and data analytics. Integrating digital twins with IoT, AI, and cloud platforms requires multidisciplinary expertise, which remains limited in many regions. This talent gap slows deployment, increases operational risks, and raises costs for organizations attempting to scale solutions. Moreover, companies often need to invest heavily in training programs or third-party consultants. This shortage remains a critical bottleneck, particularly in small and mid-sized enterprises seeking to implement digital twin solutions effectively.

Opportunity:

Cloud-based adoption by SMEs

Small and medium-sized enterprises (SMEs) are increasingly leveraging cloud-based digital twin solutions to access advanced simulation and analytics without high upfront infrastructure costs. Cloud platforms enable scalable deployments, real-time monitoring, and integration with IoT devices, allowing SMEs to optimize operations and improve decision-making. Additionally, subscription-based pricing lowers financial barriers, accelerating adoption across diverse sectors such as manufacturing, energy, and healthcare. This growing trend presents significant market expansion opportunities, particularly in emerging economies where SME digital transformation is a priority.

Threat:

Cybersecurity vulnerabilities

Digital twin systems collect and process extensive operational and design data, making them targets for cyberattacks. Security breaches, unauthorized access, and data manipulation can compromise sensitive intellectual property and operational continuity. Moreover, integration with IoT devices and cloud platforms increases potential attack surfaces. Organizations must implement robust encryption, access controls, and threat monitoring to mitigate risks. Failure to secure systems can erode stakeholder trust, invite regulatory penalties, and disrupt operations.

Covid-19 Impact:

The pandemic accelerated interest in digital twin technology as industries sought to maintain operations amid lockdowns and workforce limitations. Remote monitoring, simulation, and predictive maintenance became critical for continuity, while supply chain disruptions highlighted the need for virtual modeling of complex systems. However, some deployments faced delays due to constrained budgets and restricted on-site access. Overall, the crisis emphasized resilience, digital readiness, and remote operational capabilities, leading organizations to prioritize digital twin adoption for long-term efficiency, risk mitigation, and enhanced strategic planning across manufacturing, energy, and healthcare sectors.

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

The system twin segment is expected to account for the largest market share during the forecast period. System twins deliver comprehensive insights by modeling entire production or operational ecosystems, allowing organizations to enhance productivity, minimize downtime, and improve quality standards. Their ability to integrate real-time sensor data, analytics, and predictive algorithms ensures informed decision-making across complex processes. Additionally, industries increasingly rely on system twins for compliance, sustainability tracking, and performance optimization. This broad applicability, coupled with rising investments from manufacturing, automotive, and energy sectors, positions the system twin segment as the largest contributor to market revenue.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate. Cloud-based digital twins facilitate widespread accessibility, cost-effective scaling, and integration with AI and IoT platforms, making them attractive for organizations seeking agility and efficiency. Additionally, they support predictive analytics, remote monitoring, and collaborative workflows, which are increasingly critical in manufacturing, energy, and transportation industries. Rising awareness of operational efficiency reduced IT overhead, and vendor support further drive adoption. These factors collectively contribute to the accelerated CAGR of the cloud-based segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. North America benefits from advanced industrial infrastructure, high IoT penetration, and early adoption of Industry 4.0 initiatives. Strong investments in R&D, supportive government policies, and mature vendor ecosystems further reinforce the region's leadership. Additionally, the presence of key technology providers and large-scale manufacturing and energy enterprises accelerates digital twin integration across industries. These factors collectively ensure that North America remains the dominant regional market, accounting for the largest share while driving innovation, deployment, and adoption of system and component-level digital twin solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid industrialization, increasing government investment in smart manufacturing, and widespread adoption of Industry 4.0 technologies fuel growth in digital twin deployment. Additionally, rising digital infrastructure, growing IoT and cloud penetration, and supportive policies encourage both domestic and foreign vendors to expand operations. Emerging economies in the region are adopting cost-effective, cloud-based solutions to optimize manufacturing, energy, and transportation processes. Consequently, Asia Pacific is expected to experience the fastest adoption and revenue growth, reflecting the highest CAGR in the global digital twin market.

Key players in the market

Some of the key players in Digital Twin Technology Market include Siemens AG, General Electric Company, Microsoft Corporation, IBM Corporation, SAP SE, PTC Inc., Dassault Systemes, Honeywell International Inc., Autodesk Inc., Ansys Inc., Oracle Corporation, ABB Ltd., Hitachi Ltd., Hexagon AB, AVEVA Group plc, Bentley Systems, Incorporated, Robert Bosch GmbH, Rockwell Automation, Inc., Amazon Web Services, Inc., and Cognite AS.

Key Developments:

In September 2025, Siemens was named the "Official Digital Twin Sponsor" by the Federation Internationale de l'Automobile (FIA), expanding its collaboration to enhance motorsport and mobility with Siemens software.

In May 2025, Microsoft introduced the Digital Twin Builder in Microsoft Fabric, integrating with NVIDIA Omniverse to connect 3D data with other data types for enhanced digital twin creation and management.

In April 2025, IBM Research showcased how foundation models are powering simulated versions of complex systems, aiming to accelerate technological progress through AI-powered digital twins.

Type Of Twins Covered:

  • Component Twin
  • Product Twin
  • Process Twin
  • System Twin
  • Organization/Data Twin

Components Covered:

  • Software
  • Services
  • Hardware

Deployment Models Covered:

  • On-Premise
  • Cloud-Based

Enterprise Sizes Covered:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

Technologies Covered:

  • Internet of Things (IoT) and Industrial IoT (IIoT)
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Cloud Computing
  • Big Data Analytics
  • Extended Reality

Applications Covered:

  • Product Design and Development
  • Predictive Maintenance and Performance Monitoring
  • Production Process Planning and Optimization
  • Business Optimization
  • Inventory and Supply Chain Management
  • Asset Management

End Users Covered:

  • Manufacturing
  • Energy and Utilities
  • Infrastructure and Construction
  • Healthcare and Life Sciences
  • Retail and Consumer Goods
  • Transportation and Logistics
  • Telecommunications
  • Agriculture
  • 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 2024, 2025, 2026, 2028, and 2032
  • 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 Technology Market, By Type of Twin

  • 5.1 Introduction
  • 5.2 Component Twin
  • 5.3 Product Twin
  • 5.4 Process Twin
  • 5.5 System Twin
  • 5.6 Organization/Data Twin

6 Global Digital Twin Technology Market, By Component

  • 6.1 Introduction
  • 6.2 Software
    • 6.2.1 Simulation Software
    • 6.2.2 Analytics Software
    • 6.2.3 Other Software
  • 6.3 Services
    • 6.3.1 Consulting and Integration Services
    • 6.3.2 Support and Maintenance Services
  • 6.4 Hardware

7 Global Digital Twin Technology Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global Digital Twin Technology Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small and Medium-sized Enterprises (SMEs)

9 Global Digital Twin Technology Market, By Technology

  • 9.1 Introduction
  • 9.2 Internet of Things (IoT) and Industrial IoT (IIoT)
  • 9.3 Artificial Intelligence (AI) and Machine Learning (ML)
  • 9.4 Cloud Computing
  • 9.5 Big Data Analytics
  • 9.6 Extended Reality

10 Global Digital Twin Technology Market, By Application

  • 10.1 Introduction
  • 10.2 Product Design and Development
  • 10.3 Predictive Maintenance and Performance Monitoring
  • 10.4 Production Process Planning and Optimization
  • 10.5 Business Optimization
  • 10.6 Inventory and Supply Chain Management
  • 10.7 Asset Management

11 Global Digital Twin Technology Market, By End User

  • 11.1 Introduction
  • 11.2 Manufacturing
  • 11.3 Energy and Utilities
  • 11.4 Infrastructure and Construction
  • 11.5 Healthcare and Life Sciences
  • 11.6 Retail and Consumer Goods
  • 11.7 Transportation and Logistics
  • 11.8 Telecommunications
  • 11.9 Agriculture
  • 11.10 Other End Users

12 Global Digital Twin Technology Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Siemens AG
  • 14.2 General Electric Company
  • 14.3 Microsoft Corporation
  • 14.4 IBM Corporation
  • 14.5 SAP SE
  • 14.6 PTC Inc.
  • 14.7 Dassault Systemes
  • 14.8 Honeywell International Inc.
  • 14.9 Autodesk Inc.
  • 14.10 Ansys Inc.
  • 14.11 Oracle Corporation
  • 14.12 ABB Ltd.
  • 14.13 Hitachi Ltd.
  • 14.14 Hexagon AB
  • 14.15 AVEVA Group plc
  • 14.16 Bentley Systems, Incorporated
  • 14.17 Robert Bosch GmbH
  • 14.18 Rockwell Automation, Inc.
  • 14.19 Amazon Web Services, Inc.
  • 14.20 Cognite AS

List of Tables

  • Table 1 Global Digital Twin Technology Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Digital Twin Technology Market Outlook, By Type of Twin (2024-2032) ($MN)
  • Table 3 Global Digital Twin Technology Market Outlook, By Component Twin (2024-2032) ($MN)
  • Table 4 Global Digital Twin Technology Market Outlook, By Product Twin (2024-2032) ($MN)
  • Table 5 Global Digital Twin Technology Market Outlook, By Process Twin (2024-2032) ($MN)
  • Table 6 Global Digital Twin Technology Market Outlook, By System Twin (2024-2032) ($MN)
  • Table 7 Global Digital Twin Technology Market Outlook, By Organization/Data Twin (2024-2032) ($MN)
  • Table 8 Global Digital Twin Technology Market Outlook, By Component (2024-2032) ($MN)
  • Table 9 Global Digital Twin Technology Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global Digital Twin Technology Market Outlook, By Simulation Software (2024-2032) ($MN)
  • Table 11 Global Digital Twin Technology Market Outlook, By Analytics Software (2024-2032) ($MN)
  • Table 12 Global Digital Twin Technology Market Outlook, By Other Software (2024-2032) ($MN)
  • Table 13 Global Digital Twin Technology Market Outlook, By Services (2024-2032) ($MN)
  • Table 14 Global Digital Twin Technology Market Outlook, By Consulting and Integration Services (2024-2032) ($MN)
  • Table 15 Global Digital Twin Technology Market Outlook, By Support and Maintenance Services (2024-2032) ($MN)
  • Table 16 Global Digital Twin Technology Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 17 Global Digital Twin Technology Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 18 Global Digital Twin Technology Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 19 Global Digital Twin Technology Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 20 Global Digital Twin Technology Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 21 Global Digital Twin Technology Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 22 Global Digital Twin Technology Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
  • Table 23 Global Digital Twin Technology Market Outlook, By Technology (2024-2032) ($MN)
  • Table 24 Global Digital Twin Technology Market Outlook, By Internet of Things (IoT) and Industrial IoT (IIoT) (2024-2032) ($MN)
  • Table 25 Global Digital Twin Technology Market Outlook, By Artificial Intelligence (AI) and Machine Learning (ML) (2024-2032) ($MN)
  • Table 26 Global Digital Twin Technology Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 27 Global Digital Twin Technology Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 28 Global Digital Twin Technology Market Outlook, By Extended Reality (2024-2032) ($MN)
  • Table 29 Global Digital Twin Technology Market Outlook, By Application (2024-2032) ($MN)
  • Table 30 Global Digital Twin Technology Market Outlook, By Product Design and Development (2024-2032) ($MN)
  • Table 31 Global Digital Twin Technology Market Outlook, By Predictive Maintenance and Performance Monitoring (2024-2032) ($MN)
  • Table 32 Global Digital Twin Technology Market Outlook, By Production Process Planning and Optimization (2024-2032) ($MN)
  • Table 33 Global Digital Twin Technology Market Outlook, By Business Optimization (2024-2032) ($MN)
  • Table 34 Global Digital Twin Technology Market Outlook, By Inventory and Supply Chain Management (2024-2032) ($MN)
  • Table 35 Global Digital Twin Technology Market Outlook, By Asset Management (2024-2032) ($MN)
  • Table 36 Global Digital Twin Technology Market Outlook, By End User (2024-2032) ($MN)
  • Table 37 Global Digital Twin Technology Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 38 Global Digital Twin Technology Market Outlook, By Energy and Utilities (2024-2032) ($MN)
  • Table 39 Global Digital Twin Technology Market Outlook, By Infrastructure and Construction (2024-2032) ($MN)
  • Table 40 Global Digital Twin Technology Market Outlook, By Healthcare and Life Sciences (2024-2032) ($MN)
  • Table 41 Global Digital Twin Technology Market Outlook, By Retail and Consumer Goods (2024-2032) ($MN)
  • Table 42 Global Digital Twin Technology Market Outlook, By Transportation and Logistics (2024-2032) ($MN)
  • Table 43 Global Digital Twin Technology Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 44 Global Digital Twin Technology Market Outlook, By Agriculture (2024-2032) ($MN)
  • Table 45 Global Digital Twin Technology Market Outlook, By Other End Users (2024-2032) ($MN)

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