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市場調查報告書
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1697412

建設業數位雙胞胎市場：未來預測（2025-2030）

Digital Twin in Construction Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 146 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計建設業數位雙胞胎市場將從 2025 年的 648.65 億美元成長到 2030 年的 1,550.1 億美元，預測期內複合年成長率將達到 17.03%。

建設業的數位雙胞胎是透過使用 3D 雷射掃描儀、無人機、感測器、攝影機和其他物聯網設備等技術聚合和合成現實世界資料而創建的。在物聯網和人工智慧的支援下，數位雙胞胎可以自主從不同的來源學習，並動態更新以反映現實世界中的對應物，反映物理屬性（形狀、位置、手勢、動作）、互動和修改。這些資料包括有關對象的特徵和狀態的資訊。透過將數位雙胞胎整合到建築資訊模型 (BIM) 流程中，承包商和建築/工程公司可以解決關鍵的行業挑戰，包括性能不佳、盈利低以及錯誤和事故率上升。此外，數位雙胞胎有助於虛擬設計並降低施工成本，同時提高競標準確性。企劃團隊可以在對實體建築、結構或工作現場進行任何更改之前，以數位方式測試和分析潛在結果。

建設業數位數位雙胞胎市場的成長受到幾個關鍵因素的推動。一個關鍵促進因素是雲端基礎的採用日益增加。雲端基礎的平台為即時資料收集和分析提供了堅實的基礎，這對於建立日益複雜的實體資產數位模型至關重要。雲端平台的可擴展性和可訪問性簡化了數位雙胞胎解決方案的實施，主要的雲端供應商正在推出全面的數位雙胞胎功能。例如，微軟為建築管理和施工提供了數位雙胞胎。另一個關鍵促進因素是全球越來越多的政府採取舉措，透過財政支持和法律規範鼓勵在建築領域採用先進技術。

建設業數位雙胞胎市場在不同地區呈現不同的成長模式。由於先進技術、熟練勞動力和支持性法規環境的融合，北美市場正在不斷擴大。在歐洲，巨量資料分析、物聯網、人工智慧 (AI)、機器學習 (ML) 和工業 4.0 技術等技術的出現推動了成長。亞太市場受到技術進步、產量增加和數位網路擴展的推動。最後，在政府加強舉措技術進步的支持下，南美、中東和非洲預計將顯著成長。

為什麼要購買這份報告？

  • 深刻分析：獲得涵蓋主要地區和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
  • 競爭格局：了解全球主要企業採取的策略策略，並了解正確策略帶來的潛在市場滲透。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響市場的未來發展。
  • 可行的建議：利用洞察力進行策略決策，在動態環境中開闢新的業務流和收益。
  • 適用範圍廣：對於新興企業、研究機構、顧問公司、中小企業和大型企業來說，它都是實用且具有成本效益的。

它有什麼用途？

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2030）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 按部門和地區（國家）分類的收益成長和預測分析
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

建設業數位雙胞胎市場細分為：

按類型

  • 訊息孿生
  • 自主雙胞胎

按組件

  • 軟體
  • 硬體

按應用

  • 資源管理與物流
  • 安全監控
  • 產品設計與最佳化
  • 品管
  • 預測性維護
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 美國英國
  • 德國
  • 法國
  • 西班牙
  • 其他
  • 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 台灣
  • 其他

目錄

第1章執行摘要

第2章市場概述

  • 市場概覽
  • 市場定義
  • 研究範圍
  • 市場區隔

第3章 商業景氣

  • 市場促進因素
  • 市場限制
  • 市場機會
  • 波特五力分析
  • 產業價值鏈分析
  • 政策法規
  • 策略建議

第4章 技術展望

第5章建設業數位雙胞胎市場（按類型）

  • 介紹
  • 訊息孿生
  • 自主雙胞胎

第6章建設業數位雙胞胎市場（按組件）

  • 介紹
  • 硬體
  • 軟體

第7章建設業數位雙胞胎市場（依應用）

  • 介紹
  • 資源管理與物流
  • 安全監控
  • 產品設計與最佳化
  • 品管
  • 預測性維護
  • 其他

第8章 銅子宮內避孕器市場：按地區

  • 介紹
  • 北美洲
    • 按類型
    • 按組件
    • 按應用
    • 按國家
  • 南美洲
    • 按類型
    • 按組件
    • 按應用
    • 按國家
  • 歐洲
    • 按類型
    • 按組件
    • 按應用
    • 按國家
  • 中東和非洲
    • 按類型
    • 按組件
    • 按應用
    • 按國家
  • 亞太地區
    • 按類型
    • 按組件
    • 按應用
    • 按國家

第9章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 企業合併、協議、商業合作
  • 競爭儀錶板

第10章 公司簡介

  • ANSYS
  • GE Vernova
  • IBM
  • Microsoft
  • Siemens
  • Bentley Systems
  • Digital Twin Consortium
  • Cisco
  • Oracle

第11章 附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益
  • 調查方法
  • 簡稱
簡介目錄
Product Code: KSI061617316

The Digital Twin in Construction market is set to witness robust growth at a CAGR of 17.03% during the forecast period, reaching a value of US$155.010 billion in 2030 from US$64.865 billion in 2025.

Digital twins in construction are created through the aggregation and synthesis of real-world data, leveraging technologies such as 3D laser scanners, drones, sensors, cameras, and other IoT devices. Enabled by IoT and AI, a digital twin can autonomously learn from disparate sources and dynamically update to mirror its real-world counterpart, reflecting physical attributes (shape, position, gesture, motion), interactions, and modifications. This data encompasses information on the properties and states of an object. By integrating digital twins into Building Information Modeling (BIM) processes, contractors and architecture/engineering firms can address critical industry challenges, including underperformance, low profitability, and elevated error and accident rates. Furthermore, digital twins facilitate the reduction of virtual design and construction costs while enhancing bidding accuracy. Project teams can digitally test and analyze anticipated outcomes before implementing changes to the physical construction, structure, or worksite.

The growth of the digital twin market in construction is fueled by several key factors. A primary driver is the increasing adoption of cloud-based platforms, which provide a robust foundation for real-time data collection and analysis, essential for establishing increasingly intricate digital models of physical assets. The scalability and accessibility of cloud platforms streamline the implementation of digital twin solutions, and major cloud providers have introduced comprehensive digital twin capabilities. For example, Microsoft offers its digital twin ontology for building management and construction. Another significant catalyst is the rise in government initiatives worldwide that incentivize the adoption of advanced technologies in construction through financial support and regulatory frameworks.

Geographically, the digital twin market in construction exhibits varying growth patterns. The North American market is expanding due to the integration of advanced technologies, a skilled workforce, and a supportive regulatory environment. In Europe, growth is propelled by the emergence of technologies such as big data analytics, IoT, artificial intelligence (AI), and machine learning (ML), coupled with Industry 4.0 technologies. The Asia-Pacific market is experiencing growth driven by technological advancements, increasing manufacturing output, and expanding digital networks. Finally, the South American, Middle Eastern, and African regions are anticipated to witness substantial growth, supported by increasing government initiatives that promote technological advancements.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Digital Twin in Construction Market is analyzed into the following segments:

By Type

  • Informative Twin
  • Autonomous Twin

By Component

  • Software
  • Hardware

By Application

  • Resource Management and Logistics
  • Safety Monitoring
  • Product Design & Optimization
  • Quality Management
  • Predictive Maintenance
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. DIGITAL TWIN IN CONSTRUCTIONS MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Informative Twin
  • 5.3. Autonomous Twin

6. DIGITAL TWIN IN CONSTRUCTIONS MARKET BY COMPONENT

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software

7. DIGITAL TWIN IN CONSTRUCTIONS MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Resource Management and Logistics
  • 7.3. Safety Monitoring
  • 7.4. Product Design & Optimization
  • 7.5. Quality Management
  • 7.6. Predictive Maintenance
  • 7.7. Others

8. DIGITAL TWIN IN CONSTRUCTIONS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type
    • 8.2.2. By Component
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type
    • 8.3.2. By Component
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Type
    • 8.4.2. By Component
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type
    • 8.5.2. By Component
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type
    • 8.6.2. By Component
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Taiwan
      • 8.6.4.6. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. ANSYS
  • 10.2. GE Vernova
  • 10.3. IBM
  • 10.4. Microsoft
  • 10.5. Siemens
  • 10.6. Bentley Systems
  • 10.7. Digital Twin Consortium
  • 10.8. Cisco
  • 10.9. Oracle

11. APPENDIX

  • 11.1. Currency
  • 11.2. Assumptions
  • 11.3. Base and Forecast Years Timeline
  • 11.4. Key benefits for the stakeholders
  • 11.5. Research Methodology
  • 11.6. Abbreviations