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市场调查报告书
商品编码
1722301
建筑资讯模型市场规模、份额、成长分析、按组件、按功能、按企业类型、按技术、按部署模型、按最终用户、按地区 - 行业预测 2025-2032Building Information Modeling Market Size, Share, and Growth Analysis, By Component, By Functionality, By Enterprise Type, By Technology, By Deployment Model, By End-user, By Region - Industry Forecast 2025-2032 |
2023 年全球建筑资讯模型市场规模为 81 亿美元,预计将从 2024 年的 91.4 亿美元成长到 2032 年的 241.4 亿美元,预测期内(2025-2032 年)的复合年增长率为 12.9%。
鑑于建筑资讯模型 (BIM) 在整个生命週期内管理建筑计划的关键作用,预计未来几年该市场将大幅成长。 BIM 可以以数位方式表示建筑物的功能和物理属性,从而促进决策并提高计划效率。传统的建筑方法越来越多地与 BIM 结合,从而在行业内形成了强大的互联网。值得注意的是,商业建筑自动化(主要在办公室和零售店)占据了最大的市场。随着能源成本上升和对高效设计解决方案的需求增加,BIM 的采用正在获得发展势头,尤其是在建筑、工程和施工 (AEC) 公司中。此外,政府推动使用 BIM 的倡议预计将进一步加速 BIM 在全球范围内的接受度。
Global Building Information Modeling Market size was valued at USD 8.1 billion in 2023 and is poised to grow from USD 9.14 billion in 2024 to USD 24.14 billion by 2032, growing at a CAGR of 12.9% during the forecast period (2025-2032).
The building information modeling (BIM) market is poised for substantial growth in the coming years, driven by its pivotal role in managing construction projects throughout their life cycles. BIM enables the creation of digital representations of a building's functional and physical attributes, facilitating decision-making and enhancing project efficiency. Traditional construction methods are increasingly integrated with BIM, fostering a robust, interconnected network in the industry. Notably, commercial building automation, particularly in office and retail sectors, represents the largest market segment. As energy costs rise and demand for efficient design solutions escalates, the adoption of BIM is gaining momentum, especially among architecture, engineering, and construction (AEC) firms. Moreover, government initiatives promoting BIM usage are expected to further accelerate its global acceptance.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Building Information Modeling market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Building Information Modeling Market Segments Analysis
Global Building Information Modeling Market is segmented by Component, Functionality, Enterprise Type, Technology, Deployment Model,End-userand region. Based on Component, the market is segmented into Software and Services. Based on Functionality, the market is segmented into 3D Modeling and Visualization, Clash Detection and Conflict Resolution, Cost Estimation (5D BIM), Time Scheduling and Sequencing (4D BIM) and Sustainability and Energy Analysis. Based on Enterprise Type, the market is segmented into Large Enterprises, Small and Mid-sized Enterprises (SMEs) and Government and Public Sector Organizations. Based on Technology, the market is segmented into AI-Driven BIM Solutions, AR/VR-IntegratedBIMand IoT-Enabled BIM. Based on Deployment Model, the market is segmented intoOn-premiseand On-cloud. Based on End-user, the market is segmented into Architect and Engineers, Facility or Construction Managers and Builders and Contractors. Based on region, the market is segmented into North America, Europe, Asia Pacific, LatinAmericaand Middle East & Africa.
Driver of the Global Building Information Modeling Market
The Global Building Information Modeling (BIM) market is propelled by several key factors that drive its adoption and efficacy. By optimizing processes and enhancing stakeholder engagement, BIM significantly boosts project efficiency. As a comprehensive tool, it enables accurate cost predictions, real-time visualizations, and meticulous planning, which allow teams to foresee issues before they escalate into costly delays or rework. This proactive approach not only shortens construction timelines but also enhances resource allocation, leading to substantial cost savings. Given its ability to improve project execution, BIM has become integral to modern building practices, prompting widespread industry adoption as companies strive to enhance their competitive edge.
Restraints in the Global Building Information Modeling Market
The Global Building Information Modeling (BIM) market faces significant restraints primarily due to high initial investment costs. These expenses encompass the acquisition of software licenses and necessary upgrades to equipment and tools, which can be prohibitively expensive, particularly for small and medium-sized enterprises (SMEs) operating on tight budgets. This financial barrier often discourages businesses from fully committing to BIM solutions, leading them to adopt more traditional methods that require lower upfront investments. Consequently, this reluctance to invest significantly hampers overall market growth and limits the potential benefits, especially for smaller companies that could greatly enhance their efficiency through BIM integration.
Market Trends of the Global Building Information Modeling Market
The Global Building Information Modeling (BIM) market is experiencing a significant trend towards the integration of artificial intelligence (AI) and machine learning technologies, which are revolutionizing the sector. By enhancing BIM software with predictive modeling, advanced analytics, and task automation, these innovations allow for the analysis of vast data sets, enabling stakeholders to identify trends and derive actionable insights. This integration not only minimizes errors but also optimizes project outcomes and resource utilization. As organizations increasingly seek to streamline operations and improve decision-making, the adoption of AI and machine learning within BIM solutions is anticipated to surge, driving market growth.