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市场调查报告书
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1697412

建设业数位双胞胎市场：未来预测（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个工作天内

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简介目录

预计建设业数位双胞胎市场将从 2025 年的 648.65 亿美元成长到 2030 年的 1,550.1 亿美元，预测期内复合年增长率将达到 17.03%。

建设业的数位双胞胎是透过使用 3D 雷射扫描仪、无人机、感测器、摄影机和其他物联网设备等技术聚合和合成现实世界资料而创建的。在物联网和人工智慧的支援下，数位双胞胎可以自主从不同的来源学习，并动态更新以反映现实世界中的对应物，反映物理属性（形状、位置、手势、动作）、互动和修改。这些资料包括有关对象的特征和状态的资讯。透过将数位双胞胎整合到建筑资讯模型 (BIM) 流程中，承包商和建筑/工程公司可以解决关键的行业挑战，包括性能不佳、盈利低以及错误和事故率上升。此外，数位双胞胎有助于虚拟设计并降低施工成本，同时提高竞标准确性。企划团队可以在对实体建筑、结构或工作现场进行任何更改之前，以数位方式测试和分析潜在结果。

建设业数位数位双胞胎市场的成长受到几个关键因素的推动。一个关键驱动因素是云端基础的采用日益增加。云端基础的平台为即时资料收集和分析提供了坚实的基础，这对于建立日益复杂的实体资产数位模型至关重要。云端平台的可扩展性和可访问性简化了数位双胞胎解决方案的实施，主要的云端供应商正在推出全面的数位双胞胎功能。例如，微软为建筑管理和施工提供了数位双胞胎。另一个关键驱动因素是全球越来越多的政府采取倡议，透过财政支持和法律规范鼓励在建筑领域采用先进技术。

建设业数位双胞胎市场在不同地区呈现不同的成长模式。由于先进技术、熟练劳动力和支持性法规环境的融合，北美市场正在不断扩大。在欧洲，巨量资料分析、物联网、人工智慧 (AI)、机器学习 (ML) 和工业 4.0 技术等技术的出现推动了成长。亚太市场受到技术进步、产量增加和数位网路扩展的推动。最后，在政府加强倡议技术进步的支持下，南美、中东和非洲预计将显着成长。

为什么要购买这份报告？

  • 深刻分析：获得涵盖主要地区和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业采取的策略策略，并了解正确策略带来的潜在市场渗透。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响市场的未来发展。
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它有什么用途？

产业与市场洞察、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2030）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 按部门和地区（国家）分類的收益成长和预测分析
  • 公司概况（策略、产品、财务资讯、主要趋势等）

建设业数位双胞胎市场细分为：

按类型

  • 讯息孪生
  • 自主双胞胎

按组件

  • 软体
  • 硬体

按应用

  • 资源管理与物流
  • 安全监控
  • 产品设计与优化
  • 品管
  • 预测性维护
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 美国英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 台湾
  • 其他的

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 研究范围
  • 市场区隔

第三章 商业景气

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策法规
  • 策略建议

第四章 技术展望

第五章建设业数位双胞胎市场（按类型）

  • 介绍
  • 讯息孪生
  • 自主双胞胎

第六章建设业数位双胞胎市场（按组件）

  • 介绍
  • 硬体
  • 软体

第七章建设业数位双胞胎市场（依应用）

  • 介绍
  • 资源管理与物流
  • 安全监控
  • 产品设计与优化
  • 品管
  • 预测性维护
  • 其他的

第八章 铜子宫内避孕器市场：按地区

  • 介绍
  • 北美洲
    • 按类型
    • 按组件
    • 按应用
    • 按国家
  • 南美洲
    • 按类型
    • 按组件
    • 按应用
    • 按国家
  • 欧洲
    • 按类型
    • 按组件
    • 按应用
    • 按国家
  • 中东和非洲
    • 按类型
    • 按组件
    • 按应用
    • 按国家
  • 亚太地区
    • 按类型
    • 按组件
    • 按应用
    • 按国家

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 企业合併、协议、商业合作
  • 竞争仪錶板

第十章 公司简介

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

第十一章 附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益
  • 调查方法
  • 简称
简介目录
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