查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1857029

全球數位雙胞胎技術市場：未來預測（至2032年）－按孿生類型、組件、部署方法、公司規模、技術、應用、最終用戶和地區進行分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2025 年，全球數位雙胞胎技術市場規模將達到 202 億美元，到 2032 年將達到 1,692 億美元，預測期內複合年成長率將達到 35.4%。

數位雙胞胎技術能夠創建實體資產、系統和流程的虛擬副本，用於模擬、監控、預測性維護和設計最佳化。其應用場景涵蓋製造業、能源、交通運輸和醫療保健等行業，在這些行業中，數位副本能夠減少停機時間並加快迭代速度。隨著感測器、邊緣運算、分析和人工智慧的普及，數位孿生技術的成長得益於其更高的保真度和更豐富的可操作性洞察。商業規模的應用需要強大的數據整合、標準化的模型以及經證實的投資回報率，以證明其部署和長期營運成本的合理性。

西門子表示，數位雙胞胎技術已廣泛應用於製造業，用於即時監控和預測性維護，身臨其境型模擬和分析可將工廠停機時間減少高達 15%。

對高效設計和測試的需求

對更快、更經濟高效且更高品質的產品開發的需求日益成長，推動了數位雙胞胎技術的應用。透過建立實體資產的虛擬副本，企業可以在部署前模擬運行、偵測設計缺陷並最佳化效能。這種方法降低了原型製作成本，最大限度地減少了停機時間，並加快了產品上市速度。此外，汽車、航太和製造業等行業也受益於預測性維護和場景測試，從而提高了營運效率。而且，虛擬迭代設計的能力增強了工程團隊之間的協作，從而增強了競爭優勢並推動了全球市場成長。

熟練人員短缺

數位雙胞胎技術的應用受到具備複雜建模、模擬和資料分析能力的專業人才短缺的限制。將數位雙胞胎與物聯網、人工智慧和雲端平台整合需要多學科專業知識，而這在許多地區仍然十分匱乏。這種人才缺口會延緩解決方案的部署，增加營運風險，並提高尋求擴展解決方案的企業的成本。此外，企業通常還需在培訓項目和第三方諮詢方面投入大量資金。人才短缺仍然是一個重大瓶頸，尤其對於尋求有效實施數位雙胞胎解決方案的中小型企業而言更是如此。

中小企業採用雲端基礎

雲端基礎的數位雙胞胎解決方案使中小企業無需承擔高昂的前期基礎設施成本即可獲得先進的模擬和分析功能。雲端平台支援可擴展部署、即時監控以及與物聯網設備的整合，幫助中小企業最佳化營運並改善決策。此外，訂閱式定價降低了財務門檻，加速了製造業、能源和醫療保健等各行各業的採用。這一成長趨勢帶來了巨大的市場擴張機遇，尤其是在新興經濟體，數位轉型是中小企業的首要任務。

網路安全漏洞

數位雙胞胎系統由於收集和處理大量的營運和設計數據，因此成為網路攻擊的目標。安全漏洞、未授權存取和資料篡改都可能危及敏感的智慧財產權和業務連續性。此外，與物聯網設備和雲端平台的整合進一步擴大了潛在的攻擊面。企業必須實施強大的加密、存取控制和威脅監控措施來降低風險。系統安全措施的缺失可能會削弱相關人員的信任，招致監管處罰，並擾亂業務運作。

新冠疫情的影響：

疫情加速了人們對數位雙胞胎技術的興趣。遠端監控、模擬和預測性維護成為保障業務永續營運的關鍵，而供應鏈中斷則凸顯了複雜系統虛擬建模的必要性。然而，由於預算限制和現場訪問受限，一些項目的實施遭遇了延誤。總體而言，此次危機凸顯了韌性、數位化應對力和遠端營運能力的重要性，促使製造業、能源和醫療保健產業的企業優先考慮採用數位雙胞胎技術，以提高長期效率、降低風險並加強策略規劃。

預計在預測期內，雙系統細分市場將是最大的細分市場。

預計在預測期內，系統孿生細分市場將佔據最大的市場佔有率。系統孿生透過對整個生產和營運生態系統進行建模，提供全面的洞察，幫助企業提高生產效率、最大限度地減少停機時間並提升品質標準。它們能夠整合即時感測器數據、分析和預測演算法，確保在複雜的流程中做出明智的決策。此外，系統孿生在合規性、永續性追蹤和效能最佳化方面的應用也日益廣泛。這些廣泛的應用，加上製造業、汽車業和能源產業不斷成長的投資，使得系統孿生細分市場成為市場收入的最大貢獻者。

預計在預測期內，雲端基礎的細分市場將以最高的複合年成長率成長。

預計在預測期內，雲端基礎領域將實現最高成長率。雲端基礎數位雙胞胎具有廣泛的可訪問性、經濟高效的擴展性以及與人工智慧和物聯網平台的輕鬆整合等優勢，因此對追求敏捷性和效率的企業極具吸引力。此外，它們還支援預測分析、遠端監控和協作工作流程，使其在製造業、能源和交通運輸行業的重要性日益凸顯。對營運效率的日益重視正在降低IT成本，而供應商的支援也進一步推動了雲端數位孿生的普及。這些因素正在加速雲端基礎領域的複合年成長率。

區域佔有率

預計北美將在預測期內佔據最大的市場佔有率。北美受惠於先進的工業基礎設施、高物聯網滲透率以及對工業4.0舉措的早期採用。對研發的大力投入、政府的支持性政策以及成熟的供應商生態系統進一步鞏固了該地區的領先地位。此外，主要技術供應商以及大規模製造和能源公司的存在正在加速各行業數位雙胞胎的整合。這些因素共同推動了系統級和組件級數位雙胞胎解決方案的創新、部署和應用，助力北美保持其在區域市場的主導地位並佔據最大佔有率。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率。快速的工業化進程、政府對智慧製造不斷成長的投資以及工業4.0技術的廣泛應用，正在推動數位雙胞胎部署的成長。此外，數位基礎設施的崛起、物聯網和雲端運算的日益普及以及相關政策的支持，也鼓勵國內外供應商拓展業務。該地區的新興經濟體正在採用經濟高效的雲端基礎方案來最佳化製造、能源和運輸流程。因此，預計亞太地區將實現最快的數位孿生應用和收入成長，從而在全球數位雙胞胎市場中佔據最高的複合年成長率。

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球數位雙胞胎技術市場（依孿生類型分類）

  • 組件孿生
  • 產品孿生
  • 流程孿生
  • 雙子系統
  • 組織/資料孿生

6. 全球數位雙胞胎技術市場（按組件分類）

  • 軟體
    • 模擬軟體
    • 分析軟體
    • 其他軟體
  • 服務
    • 諮詢和整合服務
    • 支援和維護服務
  • 硬體

7. 全球數位雙胞胎技術市場依部署方式分類

  • 本地部署
  • 雲端基礎的

第8章：依公司規模分類的全球數位雙胞胎技術市場

  • 主要企業
  • 小型企業

9. 全球數位雙胞胎技術市場（依技術分類）

  • 物聯網 (IoT)、工業IoT(IIoT)
  • 人工智慧（AI）和機器學習（ML）
  • 雲端運算
  • 巨量資料分析
  • 擴增實境

第10章 全球數位雙胞胎技術市場（依應用領域分類）

  • 產品設計與開發
  • 預測性維護、效能監控
  • 生產流程規劃與最佳化
  • 業務最佳化
  • 庫存和供應鏈管理
  • 資產管理

第11章 全球數位雙胞胎科技市場（依最終用戶分類）

  • 製造業
  • 能源與公用事業
  • 基礎設施和建築
  • 醫療保健和生命科學
  • 零售和消費品
  • 運輸/物流
  • 通訊
  • 農業
  • 其他最終用戶

第12章 全球數位雙胞胎技術市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第14章：公司簡介

  • 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.