查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1481351

數位孿生市場規模 - 按應用（產品設計和開發、機器和設備健康監測、流程支援和服務）、最終用途（製造、醫療保健、汽車、航太和國防、能源）和預測，2024 年 - 2032 年

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

價格
簡介目錄

由於各產業領導者之間的合作不斷增加，全球數位孿生市場在 2024 年至 2032 年間的複合年成長率將超過 33%。數位孿生是實體物件或流程的虛擬複製品，正在徹底改變製造、醫療保健和運輸等產業。產業巨頭之間的合作透過匯集資源、專業知識和技術來推動這一成長。例如，2024 年 4 月，西門子和微軟宣布與 W3C 聯盟合作，表明他們致力於使數位孿生定義語言 (DTDL) 與國際標準組織 W3C 制定的事物描述標準保持一致。

這些合作夥伴關係促進創新並加速開發適合特定行業需求的先進數位孿生解決方案。西門子、通用電氣和 IBM 等公司正在與新創公司和研究機構聯手，推動數位孿生市場向前發展。這些合作不僅增強了產品供應，還提高了營運效率、預測性維護和決策流程。隨著業界認知到數位孿生的好處，需求持續激增，從而催生了充滿活力且不斷擴大的市場。

整個數位孿生產業根據應用、最終用戶和地區進行分類。

機器和設備健康監測領域將從 2024 年到 2032 年經歷嚴格的發展。透過創建實體資產的虛擬副本，企業可以監控溫度、振動和能源消耗等參數。這種主動維護方法可確保最佳效能、延長設備使用壽命並降低營運成本。隨著各行業擴大採用數位孿生進行全面健康監測，對這些解決方案的需求持續成長，推動了數位孿生市場的成長。

從 2024 年到 2032 年，能源和公用事業領域的數位孿生市場佔有率將實現顯著的複合年成長率。它們可以即時監控發電廠、電網和管道等資產，最佳化性能並提高可靠性。透過創建實體系統的虛擬副本，數位孿生可以促進預測性維護，減少停機時間和營運成本。此外，它們還有助於能源效率管理，使公司能夠監控和最佳化能源消耗。隨著能源和公用事業部門擴大採用數位孿生來應對這些挑戰，對此類解決方案的需求持續快速成長。

亞太地區數位孿生市場將在2024年至2032年呈現出值得稱讚的複合年成長率。製造、汽車和醫療保健等行業正在利用數位孿生來最佳化流程、提高效率並降低成本。此外，智慧城市計畫和基礎設施開發項目正在推動數位孿生在城市規劃和管理中的採用。因此，亞太地區對數位孿生技術的需求持續成長，為市場擴張和創新創造了大量機會。例如，2024 年 3 月，班加羅爾的數位孿生計畫得到了來自業界、新創企業、學術界和中小微型企業的傑出領導者、創新者和遠見者的熱烈參與和熱情。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 數位孿生平台提供商
    • 自動化公司
    • 經銷商
    • 終端用戶
  • 利潤率分析
  • 數位孿生的演變
  • 技術與創新格局
  • 專利分析
  • 用例
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 越來越多採用物聯網、巨量資料分析和雲端平台
      • 數位孿生在供應鏈管理 (SCM) 中的應用越來越廣泛
      • 工業 4.0 的快速採用
      • 增加工業物聯網在設計與製造上的使用
    • 產業陷阱與挑戰
      • 開發數位孿生成本高昂
      • 缺乏標準化框架和協議
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章：競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章：市場估計與預測：按應用分類 2018 - 2032

  • 主要趨勢
  • 產品設計與開發
  • 機器設備健康監測
  • 流程支援和服務

第 6 章：市場估計與預測：依最終用途，2018 年 - 2032 年

  • 主要趨勢
  • 製造業
  • 衛生保健
  • 汽車
  • 航太和國防
  • 能源和公用事業
  • 基礎設施建築
  • 零售和消費品
  • 其他

第 7 章：市場估計與預測：按地區分類，2018 年 - 2032 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 俄羅斯
    • 北歐人
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • MEA
    • 海灣合作理事會
    • 南非
    • MEA 的其餘部分

第 8 章：公司簡介

  • Technology & platform players
  • Digital & automation players
簡介目錄
Product Code: 2196

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

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

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

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

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

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

Table of Contents

Chapter 1 Methodology & Scope

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

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis, 2018 - 2032

Chapter 3 Industry Insights

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

Chapter 4 Competitive Landscape, 2023

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

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

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

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

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

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

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

Chapter 8 Company Profiles

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