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1503345

到 2030 年的數位雙胞胎市場預測：按類型、部署、公司規模、技術、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC預測，2024年全球數位雙胞胎市場規模將達到176億美元，預計2030年將達到1,138億美元，預測期內複合年成長率為36.5%。

數位雙胞胎是實體物件、流程或系統的虛擬表示，可實現即時模擬、監控和分析。它使用從感測器、物聯網設備和其他來源收集的資料來反映物理實體的特徵、行為和性能。這種副本可以在不影響實體物件或流程的情況下實現預測洞察、場景測試和最佳化。隨著數位孿生的發展，它們將為智慧城市、高效工廠、個人化醫療、永續實踐以及產業如何在日益互聯的世界中創新和營運做出貢獻，徹底改變我們創造價值的方式。

工業4.0的興起

數位雙胞胎在這項轉型中發揮著至關重要的作用，可實現實體資產和流程的即時監控、預測性維護和虛擬模擬。隨著工廠和企業採用智慧技術和物聯網設備，對數位雙胞胎最佳化業務效率、縮短產品開發週期和減少停機時間的需求不斷增加。這種市場擴張是由對敏捷和響應系統的需求推動的，這些系統利用人工智慧和分析來提高數位整合生態系統中的生產力、品管和永續性工作。

實施成本高

高實施成本包括初始設定成本，包括硬體、軟體和與現有系統的整合，以及持續的維護和培訓。對於預算有限的小型組織和部門來說，儘管數位孿生技術具有效率和創新等潛在好處，但這些成本可能會阻礙對數位雙胞胎技術的投資。此外，高成本會延遲投資報酬率的實現、影響決策並減緩市場成長。

對永續性的承諾

數位雙胞胎使您能夠透過預測分析和即時監控來最佳化能源消耗、最大限度地減少廢棄物並提高業務效率。透過模擬場景和分析資料，企業可以發現綠色實踐和永續創新的機會。對永續性的關注正在推動製造、能源、運輸和建築等行業對數位雙胞胎技術的投資，因為它符合監管要求和消費者對環保實踐的期望，促進市場成長。

資料管理挑戰

資料管理挑戰是數位雙胞胎市場成長和有效性的主要障礙。處理來自不同來源的大量即時資料、確保資料品質和一致性以及維護資料安全和隱私等挑戰阻礙了採用和利用。整合來自不同系統的資料以及維護平台之間的互通性的複雜性使數位雙胞胎的部署更加複雜。這些挑戰可能會導致決策延遲、洞察不準確以及營運成本增加。

COVID-19 的影響

數位雙胞胎有助於遠端監控、預測性維護、虛擬仿真，即使在實體操作中斷期間也能實現連續性。製造、醫療保健和零售等行業利用數位雙胞胎來增強彈性、提高供應鏈效率並確保安全通訊協定。在因經濟不確定性而遭受最初的挫折之後，疫情凸顯了數位轉型的重要性，並促使對數位雙胞胎技術的投資增加。這種向數位化的轉變預計將在大流行後繼續下去，推動全球數位雙胞胎市場的進一步創新和擴張。

預計在預測期內，製程孿生產業將成為最大的產業

流程孿生預計將在預測期內成為最大的市場，因為它提高了業務效率、減少了停機時間並改善了品管。汽車、製藥和食品加工等產業都依賴流程孿生來進行預測性維護、流程最佳化和法規遵循。數位雙胞胎的專業使用不僅可以節省成本和提高生產力，還可以促進流程自動化和持續改進的創新。

預測性維護產業預計在預測期內複合年成長率最高

透過即時資料分析和模擬持續監控設備健康狀況，數位雙胞胎在故障發生之前預測維護需求，預測性維護領域預計將在預測期內出現最高的複合年成長率。製造業、能源和交通運輸等行業將透過簡化維護計劃和資源分配而受益匪淺。

佔比最大的地區：

預計北美在預測期內將佔據最大的市場佔有率。這是因為機器人流程自動化 (RPA)、虛擬實境 (VR) 和物聯網等技術正在興起，並開始影響數位雙胞胎產業。美國國際商業機器公司、微軟公司、通用電氣等大公司都在有效地開發新產品和增強現有產品，以吸引客戶並擴大市場佔有率。

複合年成長率最高的地區：

由於數位基礎設施的興起、產出的增加、技術採用的改善等，預計亞太地區在預測期內將保持最高的複合年成長率。此外，在智慧城市計劃中使用數位雙胞胎以及政府積極推動數位化措施正在為市場創造強勁的成長機會。此外，日本的數位雙胞胎市場在機器人領域正在取得顯著進展。日本公司和研究機構處於利用人工智慧創建執行各種任務的創新機器人的最前線。

免費客製化服務

訂閱此報告的客戶將收到以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈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 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球數位雙胞胎市場：依類型

  • 零件雙胞胎
  • 產品孿生
  • 進程孿生
  • 系統孿生
  • 其他類型

第6章全球數位雙胞胎市場：依發展分類

  • 雲
  • 本地

第7章全球數位雙胞胎市場：依公司規模分類

  • 中小企業
  • 主要企業

第8章全球數位雙胞胎市場：依技術分類

  • 物聯網（IoT）
  • AI（人工智慧）和機器學習
  • AR/VR（擴增實境/虛擬實境）
  • 巨量資料分析
  • 區塊鏈
  • 5G連接
  • 其他技術

第9章全球數位雙胞胎市場：依應用分類

  • 預測性維護
  • 產品設計與開發
  • 效能監控
  • 資產和庫存管理
  • 業務最佳化
  • 模擬與訓練
  • 其他用途

第10章全球數位雙胞胎市場：依最終用戶分類

  • 製造業
  • 衛生保健
  • 汽車/交通
  • 航太和國防
  • 能源/公共產業
  • 建築/房地產
  • 零售
  • 農業
  • 通訊
  • 其他最終用戶

第11章全球數位雙胞胎市場：按地區

  • 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
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/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

第12章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.