全球建築市場人工智慧 (AI) - 2023-2030
Global Artificial Intelligence (AI) in Construction Market - 2023-2030
例如，2022 年 11 月 7 日，Trimble 和 Exyn Technologies 正在合作開發自主施工測量技術。該解決方案將結合波士頓動力公司的 Spot 機器人、由 ExynAI 提供支援的 Exyn 的 ExynPak 和 Trimble 的 X7 全站儀，以在複雜的施工環境中實現完全自主的任務。可以對收集的資料進行分析並與建築資訊模型進行比較，以進行品質和進度監控。
根據埃森哲最近的一項研究，到 2035 年，採用人工智慧可能會使建築業的利潤增加 71%。埃森哲強調了在建築業採用人工智慧的巨大潛在好處。人工智慧有能力提高效率、降低成本、提高安全性並增強建設專案的決策能力。
艾默生的研究表明，到專案結束時，設計和施工階段創建的初始資料中有 30% 會遺失。它允許專案團隊將實際費用與預算成本進行比較，確保專案保持在財務限制範圍內。確定可以最佳化或降低成本的領域可以顯著節省成本並提高專案獲利能力。持續的成本監控可以洞察潛在的成本超支或財務風險，從而實現主動的風險管理策略。
人工智慧，特別是機器學習演算法，可以分析歷史資料來預測潛在的安全問題。透過識別模式和趨勢，人工智慧可以預測事故或不安全情況，從而採取預防措施。由於先進的感測器和物聯網 (IoT) 設備的普及，建築工地可以獲得有關工人活動、機器操作、環境等的大量即時資訊，並且這些資料可以通過人工智慧進行處理和分析，以發現潛在危險和安全漏洞。
根據 NCCER 2021 年的報告，機器人流程自動化 (RPA) 透過與機器互動實現任務自動化。在建築領域，人工智慧驅動的自動化有助於消除危險任務，降低與體力勞動相關的風險。人工智慧分析大型資料集並得出智慧結論的能力可用於評估機械、工作訂單和供應鏈，這種預測分析功能為工作流程最佳化和安全措施提供了寶貴的見解。
例如，2021 年 8 月 17 日，人工智慧建築技術新創公司 Togal.ai 進入市場，旨在徹底改變建築估算流程。該公司聲稱，其軟體可以透過準確測量每個房間的大小和定價建築成本來自動化和加快估算過程，這項任務通常需要數週時間，但使用 Togal 可以在幾秒鐘內完成。
據美國建築商和承包商協會稱，2022 年預計將短缺約 665,000 名建築工人，這一預測是基於 ABC 對行業狀況的研究以及考慮了通貨膨脹和建築支出等因素的獨特模型。預計將有 120 萬名建築工人放棄工作崗位，這是造成這一短缺的重要因素，而這種流失加劇了該行業本已嚴重的熟練勞動力短缺問題。
Global Artificial Intelligence (AI) in Construction Market reached US$ 0.6 billion in 2022 and is expected to reach US$ 7.8 billion by 2030, growing with a CAGR of 33.7% during the forecast period 2023-2030.
Increased investment in AI research and development within the construction industry is driving innovation and the development of new AI-powered tools and solutions. The ongoing trend of urbanization is increasing the demand for construction projects and AI can help meet these demands more efficiently. AI assists in ensuring that construction projects adhere to building codes and regulations, reducing the risk of costly legal issues.
For instance, on 7 November 2022, Trimble and Exyn Technologies are collaborating on the development of autonomous construction surveying technology. The solution will combine Boston Dynamics' Spot robot, Exyn's ExynPak powered by ExynAI and Trimble's X7 total station to enable fully autonomous missions within complex construction environments. The collected data can be analyzed and compared to Building Information Models for quality and progress monitoring.
Asia-Pacific is among the growing regions in the global artificial intelligence (AI) in construction market covering more than 1/4th of the market and many countries in the region are experiencing rapid urbanization, leading to a surge in construction projects. AI can help manage and optimize these large-scale projects efficiently. Automation and artificial intelligence (AI) technologies may bridge this gap by handling labor-intensive, repetitive tasks. Governments in the area are making significant investments in the construction of transportation, energy and housing infrastructure.
Robots and machinery with AI capabilities can automate time-consuming and repetitive operations, hence lowering the demand for manual labor and the accompanying labor costs. AI algorithms may utilize data analysis to optimize how supplies, equipment and labor are allocated, resulting in less waste and more effective resource use. Artificial intelligence can track the health of construction equipment and forecast maintenance requirements, reducing costly breakdowns and downtime.
According to a recent study by Accenture, the adoption of AI can potentially increase the construction industry's profits by 71% by 2035. Accenture highlights the significant potential benefits of adopting AI in the construction industry. AI has the power to increase efficiency, reduce costs, improve safety and enhance decision-making in construction projects.
Emerson's study revealed that 30% of initial data created during the design and construction phases is lost by the time the project ends. It allows project teams to compare actual expenses with the budgeted costs, ensuring that the project remains within financial constraints. Identifying areas where costs can be optimized or reduced can lead to significant cost savings and improved project profitability. Continuous cost monitoring provides insights into potential cost overruns or financial risks, enabling proactive risk management strategies.
AI, particularly machine learning algorithms, can analyze historical data to predict potential safety issues. By recognizing patterns and trends, AI can anticipate accidents or unsafe conditions, allowing for preventive measures. An abundance of real-time information about worker activities, machine operation, the environment and more is made available at construction sites because of the spread of sophisticated sensors and Internet of Things (IoT) devices and this data can be processed and analyzed by AI to find potential dangers and security breaches.
According to NCCER in 2021, Robotic process automation(RPA) enables the automation of tasks through interactions with machines. In construction, AI-driven automation helps eliminate dangerous tasks, reducing the risks associated with manual labor. AI's ability to analyze large datasets and draw intelligent conclusions is leveraged to assess machinery, work orders and supply chains and this predictive analytics capability provides valuable insights into workflow optimization and safety measures..
Advancements in machine learning and deep learning algorithms have enabled AI systems to analyze vast amounts of construction data, making them more capable of identifying patterns, optimizing processes and providing valuable insights for decision-making. Edge AI which processes data locally on devices or at the edge of the network, enhances the responsiveness and efficiency of AI systems in remote or resource-constrained construction environments.
For instance, on 17 August 2021, Togal.ai, an Artificial Intelligence construction technology startup, entered the market, aiming to revolutionize the estimating process in construction. The company claims its software can automate and expedite the estimating process by accurately measuring the size of each room and pricing the cost of construction, a task that typically takes weeks but can be completed in seconds with Togal.
AI systems rely heavily on high-quality and relevant data. In construction, obtaining clean and consistent data can be challenging due to the diverse sources of information, variations in data formats and limited historical data for training AI algorithms. Construction projects often involve sensitive and proprietary information. Protecting this data from cyber threats and ensuring compliance with data privacy regulations can be a significant challenge when implementing AI solutions.
According to the Associated Builders and Contractors in 2022, there is a shortage of about 665,000 construction workers is anticipated and this forecast is based on a study of the industry's state by ABC and a unique model that takes into account things like inflation and construction spending. The predicted 1.2 million construction employees who are anticipated to abandon their positions is a significant factor in this shortfall and this attrition exacerbates the already critical shortage of skilled labor in the industry.
The global artificial intelligence (AI) in construction market is segmented based on offerings, deployment type, organization size, end-user and region.
Cloud-based AI platforms can easily scale to accommodate the needs of construction projects of varying sizes and this scalability allows construction companies to adapt AI resources to their specific requirements. Cloud solutions often work on a pay-as-you-go basis, reducing the need for substantial capital expenditures upfront. Because of their affordability, AI technology is now available to a wider spectrum of construction enterprises.
For instance, on 9 September 2023, U.S. technology company Nvidia formed partnerships with two major Indian conglomerates, Reliance Industries and Tata Group, to establish artificial intelligence infrastructure in India. Nvidia will provide the necessary computing power to Reliance for constructing a cloud-based AI infrastructure platform, with Jio overseeing infrastructure management and customer engagement. Additionally, Tata Consultancy Services in collaboration with Nvidia, will develop generative AI applications and a supercomputer.
North America is dominating the global artificial Intelligence in construction market and the region is home to some of the world's leading tech companies and research institutions, making it a hub for AI development and this access to cutting-edge technology fuels innovation in construction. The construction industry is undergoing a digital transformation, with AI playing a crucial role. Companies are increasingly recognizing the value of AI-driven solutions for efficiency, cost savings and competitiveness.
For instance, on 06 May 2021, Procore Technologies, a prominent construction management software provider, acquired INDUS.AI, a company known for its AI-powered analytics platform tailored for the construction industry and this acquisition enhances Procore's capabilities by introducing computer vision technology, aiming to improve efficiency, safety and profitability for owners, general contractors and specialty contractors.
The major global players in the market include: Building System Planning, Inc., SAP SE, Autodesk, Inc., NVIDIA Corporation, International Business Machines Corp, Microsoft Corporation, Inc. oracle Corporation, Dassault Systems SE, Aurora Computer Services Limited and PTC Inc.
The pandemic accelerated the construction industry's digital transformation efforts. To minimize disruptions caused by lockdowns and social distancing measures, many construction companies turned to AI and digital technologies to enable remote work, collaboration and project management. AI-powered tools for project planning, scheduling and monitoring became essential in ensuring projects continued despite the challenges posed by the pandemic.
Safety concerns heightened during the pandemic, leading to an increased focus on AI-driven safety solutions. AI-based systems for monitoring social distancing, mask-wearing and site occupancy helped construction companies adhere to health and safety guidelines. AI also played a role in contactless site access control and temperature screening. The pandemic exposed vulnerabilities in global supply chains, affecting the availability and delivery of construction materials.
The pandemic exposed vulnerabilities in global supply chains, affecting the availability and delivery of construction materials. AI-powered supply chain management tools helped construction firms adapt to changing conditions by providing real-time visibility into material availability and alternative sourcing options. Travel restrictions and limited on-site personnel, AI-enabled remote inspection and monitoring solutions gained importance. Drones, equipped with AI-powered cameras, were used for site inspections and progress monitoring.
AI analyzes architectural designs to optimize energy efficiency, material use and cost-effectiveness, leading to environmentally friendly and cost-saving designs. AI algorithms can assess potential risks and uncertainties in construction projects, helping project managers make informed decisions. AI-driven project management tools can optimize project schedules, allocate resources efficiently and manage project budgets, reducing delays and cost overruns.
In order to provide insights into project performance and enable data-driven decision-making, AI can evaluate project data in real-time. Real-time monitoring of building sites by AI-powered technologies can assist in identifying safety risks and avert accidents. AI can analyze historical data to predict potential risks and issues, allowing for proactive risk mitigation. AI-based computer vision systems can perform real-time quality inspections, ensuring that construction work meets quality standards and reducing the cost of rework.
For instance, on 14 December 2022, PCL Construction entered a multi-year partnership with AI Clearing, focusing on its Solar division. This partnership aims to enhance the management of solar projects by implementing AI Clearing's AI Surveyor solution. AI Surveyor is a construction technology platform powered by artificial intelligence and advanced GIS analytics. It automates the progress reporting of construction infrastructure, using drone-captured data to provide daily progress reports, monitor Key Performance Indicators and flag potential deviations.
The conflict may disrupt supply chains for construction materials and equipment, leading to delays and shortages. AI-driven supply chain management systems may become more critical in navigating these disruptions by providing real-time visibility into material availability and alternative sourcing options. The geopolitical instability resulting from the war can create economic uncertainty, affecting construction projects' funding and investment.
The conflict's impact on the global economy can affect construction projects worldwide. Economic slowdowns can lead to budget cuts for construction projects, impacting the adoption of AI technologies. International conflicts can strain research collaborations between countries, affecting the exchange of knowledge and expertise in AI for construction. Government priorities in both Russia and Ukraine may shift towards defense and security, potentially reducing investments in civil infrastructure and technology sectors, including AI for construction.
The global artificial intelligence (AI) in construction market report would provide approximately 69 tables, 65 figures and 182 Pages.
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