![]() |
市場調查報告書
商品編碼
1722301
建築資訊模型市場規模、佔有率、成長分析、按組件、按功能、按企業類型、按技術、按部署模型、按最終用戶、按地區 - 行業預測 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 年全球建築資訊模型市場規模為 81 億美元,預計將從 2024 年的 91.4 億美元成長到 2032 年的 241.4 億美元,預測期內(2025-2032 年)的複合年成長率為 12.9%。
鑑於建築資訊模型 (BIM) 在整個生命週期內管理建築計劃的關鍵作用,預計未來幾年該市場將大幅成長。 BIM 可以以數位方式表示建築物的功能和物理屬性,從而促進決策並提高計劃效率。傳統的建築方法擴大與 BIM 結合,從而在行業內形成了強大的網際網路。值得注意的是,商業建築自動化(主要在辦公室和零售店)佔據了最大的市場。隨著能源成本上升和對高效設計解決方案的需求增加,BIM 的採用正在獲得發展勢頭,尤其是在建築、工程和施工 (AEC) 公司中。此外,政府推動使用 BIM 的舉措預計將進一步加速 BIM 在全球範圍內的接受度。
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.