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市場調查報告書
商品編碼
1653930
建設產業人工智慧市場規模、佔有率及成長分析(按組件、應用、施工階段、部署、垂直產業、組織規模和地區)-2025 年至 2032 年產業預測Artificial Intelligence in Construction Market Size, Share, and Growth Analysis, By Component, By Application, By Construction Stage, By Deployment, By Industry, By Organization Size, By Region - Industry Forecast 2025-2032 |
建設產業人工智慧市場預計將從 2023 年的 8.9266 億美元成長到 2024 年的 11.9706 億美元,到 2032 年將達到 125.1834 億美元,預測期內(2025-2032 年)的複合年成長率為 34.1%。
全球建築業人工智慧 (AI) 市場預計將顯著成長,因為它將徹底改變所有工程和建築層面的傳統實踐。透過整合人工智慧和機器學習,公司可以提高生產力和業務效率,並將流程從設計轉變為資產管理。這項技術轉變將使公司能夠滿足對更聰明、更綠色建築日益成長的需求,從而使其在行業內獲得競爭優勢。人工智慧技術可實現任務自動化,並利用生成設計工具簡化流程,推動即時計劃決策。此外,人工智慧主導的系統和預測分析將增強建築管理和維護。我們注重成本效益的生產,最大限度地減少浪費,最佳化資源配置,從而降低計劃成本並提高效率。展望未來,人工智慧有望在推動建築業轉型方面發揮關鍵作用。
Artificial Intelligence in Construction Market size was valued at USD 892.66 Million in 2023 and is poised to grow from USD 1197.06 Million in 2024 to USD 12518.34 Million by 2032, growing at a CAGR of 34.1% during the forecast period (2025-2032).
The global artificial intelligence (AI) in construction market is poised for substantial growth as it revolutionizes traditional practices across all engineering and construction levels. By integrating AI and machine learning, companies are enhancing productivity and operational efficiencies, transforming processes from design to asset management. This technological shift allows businesses to meet the rising demand for smarter, greener construction, positioning them competitively within the industry. AI technologies automate tasks, utilize generative design tools for streamlined processes, and facilitate real-time project decision-making. Furthermore, AI-driven systems and predictive analytics enhance building management and maintenance. The focus on cost-effective production minimizes waste and optimizes resource allocation, resulting in reduced project costs and increased efficacy. Looking ahead, AI is expected to play a pivotal role in driving the construction sector's transformation.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence In Construction 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.
Artificial Intelligence In Construction Market Segments Analysis
The global artificial intelligence in construction market is segmented by Offering, Application, Stage, Deployment Type, Industry Type, Organization Size, and Regional. Based on Offering the market is segmented as, Solution, Service. Based on Application the market is segmented as, Asset Management, Project Management, Risk Management, Schedule Management, Supply Chain Management, Others. Based on Stage the market is segmented as, Pre-Construction, Construction-Stage, Post-Construction. Based on Industry Type, the market is segmented as, Residential, Public Infrastructure, Heavy Construction, Others. Based on Organization Size the market is segmented as, Small & Medium-sized Enterprises (SMEs), Large Enterprises. Based on Regional the market is segmented as, North America, Asia Pacific, Latin America, and Middle East & Africa (MEA).
Driver of the Artificial Intelligence In Construction Market
The growth of the Artificial Intelligence in Construction market is primarily driven by its ability to automate processes and predict maintenance needs, leading to optimal resource allocation and significant cost reductions. By enhancing operational efficiency, AI minimizes delays, reduces waste of both manpower and materials, and ensures more effective utilization of resources. This streamlined approach not only lowers building expenses but also improves overall project management, making AI a crucial factor in advancing the construction industry. As a result, the integration of artificial intelligence is becoming increasingly essential for companies aiming to enhance productivity and drive growth in this sector.
Restraints in the Artificial Intelligence In Construction Market
The Artificial Intelligence in Construction market faces significant restraints primarily due to concerns surrounding data privacy and security. Implementing AI solutions typically requires the collection and analysis of vast amounts of sensitive information, including site surveillance footage, employee data, and detailed project specifics. This dependence on personal data raises alarm about potential vulnerabilities and the risk of cyber-attacks, making construction organizations apprehensive about adopting AI technologies. Additionally, the challenge of complying with stringent privacy regulations further complicates the implementation process, limiting the extent to which AI can be integrated into construction practices.
Market Trends of the Artificial Intelligence In Construction Market
The artificial intelligence (AI) in construction market is witnessing a significant trend towards the integration of robotics and the Internet of Things (IoT). This convergence enhances real-time monitoring of resources, project progress, and equipment utilization on construction sites through IoT-enabled devices. The fusion of AI with robotics not only streamlines operations but also automates labor-intensive tasks such as bricklaying, material handling, and 3D printing, leading to increased efficiency and reduced labor costs. As smart construction becomes the norm, stakeholders are increasingly investing in these advanced technologies to optimize productivity and project delivery timelines, signaling a transformative shift in the industry.