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The AI in construction market is seeing huge patterns that are reshaping the scene of the business, achieving mechanical progressions and extraordinary changes. The widespread adoption of AI-enhanced Building Information Modeling (BIM) is one notable trend. Throughout the project lifecycle, construction professionals are able to create detailed 3D models, analyse data, and make educated decisions thanks to BIM and AI algorithms. Project planning, design, and collaboration are being transformed by this trend, resulting in construction procedures that are more accurate and efficient.
Prescient examination is arising as a critical pattern in the artificial intelligence in construction market. AI is being used by construction companies to predict potential risks and outcomes by analysing historical data, project timelines, and external factors. This proactive methodology permits project chiefs to moderate dangers, upgrade planning, and further develop generally speaking venture the executives. Prescient examination is especially important in improving direction and guaranteeing the effective fulfillment of development projects inside determined timetables and financial plans.
The construction industry's site monitoring and surveying is being revolutionized by the integration of drones and AI-powered image recognition. Drones outfitted with cameras can catch high-goal pictures of building destinations, and simulated intelligence calculations can investigate these pictures to give continuous experiences. This pattern works on the exactness of site reviews, screens development progress, and upgrades security by distinguishing possible perils. Drones and artificial intelligence are simplifying construction site operations and adding a new dimension to project oversight.
Simulated intelligence driven mechanical technology is picking up speed as an extraordinary pattern in the development area. Development robots, directed by artificial intelligence calculations, are being utilized for undertakings, for example, bricklaying, concrete pouring, and, surprisingly, independent uncovering. These automated frameworks upgrade effectiveness, lessen work concentrated errands, and add to quicker project fulfilment. In the development business, a shift toward mechanization and the upgrade of human capacities are reflected in the pattern of coordinating simulated intelligence and mechanical technology.
The development business is progressively worried about maintainability, and simulated intelligence is significant in advancing eco-accommodating practices. Simulated intelligence calculations can assess the natural effect of development projects, suggest harmless to the ecosystem building materials, and enhance building plans for energy proficiency. This pattern lines up with the business' obligation to green structure practices and addresses the rising interest for naturally cognizant development arrangements.
Ongoing joint effort and correspondence stages controlled by AI are becoming indispensable to development project the executives. These stages work with consistent correspondence among project partners, empowering moment sharing of updates, records, and progress reports. The pattern of computer-based intelligence driven joint effort instruments upgrades coordination, decreases delays, and further develops generally speaking undertaking effectiveness by guaranteeing that all colleagues are in total agreement all through the development cycle.
Wellbeing is a vital worry in development, and computer-based intelligence is being utilized to improve security estimates on building destinations. Wearable gadgets furnished with computer-based intelligence innovation can screen labourers’ developments, recognize potential security dangers, and give continuous alarms. This pattern adds to establishing a more secure workplace by proactively tending to somewhere safe worries and forestalling mishaps.
The developing interest for measured and pre-assembled development is another pattern moulding the artificial intelligence in construction market. AI is used in advancing the plan and creation cycles of measured parts, prompting quicker and more practical development strategies. This pattern tends to the requirement for versatile and proficient development arrangements, particularly even with expanding urbanization and the interest for fast framework advancement.
AI in Construction Market Highlights:
AI in Construction Market Overview
The AI in Construction Market size is projected to grow from USD 0.67 Billion in 2024 to USD 2.87 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 32.66% during the forecast period (2024 - 2032). Additionally, the market size for AI in construction was valued at USD 0.47 billion in 2023.
Artificial intelligence will be widely used in construction for large-scale project management, cost-effective production, resource management, and time management are the key AI in construction market drivers enhancing market growth.
Figure 1: AI in Construction Market Size, 2024-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
AI in Construction Market Trends
Rise in Artificial Intelligence applications in the construction sector is driving the market growth
Market CAGR for artificial intelligence is driven by the rising number in the construction industry. Artificial intelligence can benefit all construction project phases, from planning and design to ensuring a safer working environment. With AI already demonstrating its value in the construction industry, tasks are becoming more automated, and workflows are more efficient. This element is driving the AI in construction market growth. In addition, AI and machine intelligence on construction sites decrease the risk of accidents since AI systems can rapidly assess massive amounts of information in real-time to anticipate any safety, quality, or productivity issues. The AI system cannot only detect risky behaviors on the job site. Still, it can also preempt machine malfunctions using sensor data and determine what steps must be taken to prevent them. As a result, workers become safer on construction sites, and the likelihood of mishaps diminishes.
Additionally, digital knowledge has increased over the past five years due to the increasing use of building information systems (BIM), security sensors, drones, and machine telematics. The vast amount of digital data construction firms generate motivates them to utilize cutting-edge analytics tools to gain insight. As drones, robots, and autonomous vehicles become more prevalent in the construction industry, AI is increasing in popularity. It is becoming increasingly common for construction companies to use these technologies to map, take aerial photos, assess construction sites, and automate development procedures.
Several factors contribute to a successful construction project, but safety is among the most critical factors. Injuries and fatalities at job sites are alarming issues that must be addressed. In addition to assisting workers in performing tasks more safely, artificial intelligence has been proven efficient in enhancing worker safety.
For instance, Researchers at the University of Waterloo (Canada) studied artificial intelligence in the construction industry and found that AI helps bricklayers learn advanced techniques to limit joint loads. By using artificial intelligence, bricklayers can maximize output while minimizing the stress on their bodies. AI also enables companies to rely on off-site factories or construction sites manned by autonomous robots. Thus, driving the AI in construction market revenue.
AI in Construction Market Segment Insights
AI in Construction Stage Insights
The AI in construction market segmentation, based on stage, includes pre-construction, construction stage, and post-construction. The pre-construction segment dominated the AI in construction market, accounting for 39% of market revenue. The pre-construction phase involves pre-project management tasks, such as schedule and cost management, which is why AI-enabled applications are highly popular. It includes all aspects of planning and designing, including opportunity and proposal management, cost management, sourcing and contract management, and virtual design and construction.
AI in Construction Component Insights
The AI in construction market segmentation, based on components, includes solutions & services. The solutions category generated the most income (70.4%). Artificial intelligence solutions in construction play a vital role in refining the efficiency and effectiveness of construction businesses using Natural Language Processing (NLP), machine learning and deep learning technology. Implementing AI-based solutions in the construction industry is imperative to revolutionize how it functions. These solutions will also provide the construction industry access to up-to-date technology while assisting professionals in decision-making.
AI in Construction Technology Insights
The AI in construction market data, based on technology, includes machine & deep learning, NLP, and neural networks. The machine & deep learning segment dominated the AI in construction market, accounting for 51.6% of market revenue (0.2 billion). Machine learning and deep learning technologies have grown in importance in the construction industry due to the growing demand to analyze dark data and automate business functions. Many construction companies now deploy AI-based solutions to achieve higher efficiency and effectiveness.
Figure 2: AI in Construction Market, by Technology, 2022 & 2032 (USD billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
AI in Construction Regional Insights
By Region, the study provides market insights into North America, Europe, Asia-Pacific and Rest of the World. North American AI in construction market area will dominate the market. North American construction companies have invested heavily in the AI in construction market, and several vendors have emerged to meet the requirements of the rapidly growing AI in construction market. In addition, a wide variety of applications in North America are effectively managed by AI technologies, including project management, field management, risk management, schedule management, supply chain management, and others (management of construction equipment and materials, resource management, subcontractor management, and cost management).
Further, the major countries studied in the AI in construction market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: AI IN CONSTRUCTION MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Asia-Pacific AI in construction market accounts for the second-largest market share due to increasing construction activities in emerging countries such as China, Japan, and India in this region, which explains the rising demand for artificial intelligence. Further, China’s AI in construction market held the largest market share, and Indian AI in construction market was the fastest-growing market in the Asia-Pacific region
The Europe AI in construction market is expected to grow at the fastest CAGR from 2024 to 2030. Construction sites use AI solutions and platforms because of their cost-efficiency and the increasing demand for AI solutions and platforms. Moreover, German AI in construction held the largest market share, and UK AI in construction market was the fastest-growing market in the European region.
For instance, In April 2021, IBM Corporation, Red Hat Software, and Cobuilder announced plans to collaborate on building a platform to connect the distributed construction industry supply chain. The OpenBuilt platform will offer an innovative digital solution to help drive sustainable, safer, and more efficient construction projects through innovation. A number of AI in construction market players across the region provide advancements, innovations, and extensive investments to the market that benefit the overall growth of the AI in construction industry.
AI in Construction Key Market Players & Competitive Insights
Leading market players are participating heavily in research and development to expand their product lines, which will help AI in construction market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. AI in construction industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the AI in construction industry to benefit clients and increase the market sector. In recent years, AI in construction industry has offered some of the most important advantages to construction industries. Major players in the AI in construction market include IBM Corporation (U.S.), Oracle Corporation (U.S), SAP SE (Germany), Alice Technologies. (U.S.), Microsoft Corporation (U.S.), Aurora Computer Services(U.K), Autodesk (U.S.), eSUB (U.S.), Smartvid.io (U.S.), and Building System Planning (U.S.).
The International Business Machines Corporation (IBM) offers computer solutions. Aside from its application, technology consulting and support services, the Company provides services in process design and operations, cloud computing, digital workplaces, and network infrastructure, as well as business resiliency, strategy, and design capabilities. The IBM Company serves clients all over the world. In April 2021, IBM Corporation, Red Hat Software, and Cobuilder announced plans to collaborate on building a platform to connect the distributed construction industry supply chain. The OpenBuilt platform will offer an innovative digital solution to help drive sustainable, safer, and more efficient construction projects through innovation. A number of market players across the region provide advancements, innovations, and extensive investments to the market that benefit the overall growth of the AI in construction industry.
Oracle Corporation provides software for managing enterprise information. In addition to databases and relational servers, the Company provides tools for developing applications, providing decision support, and developing enterprise applications. It runs on network computers, personal digital assistants, set-top devices, PCs, workstations, minicomputers, mainframes, and massively parallel computers.
Key Companies in the AI in Construction market include
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IBM Corporation (U.S.)
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Autodesk (U.S.)
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Oracle Corporation (U.S)
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SAP SE (Germany)
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Alice Technologies (U.S.)
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Aurora Computer Services(U.K)
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eSUB (U.S.)
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Smartvid.io(U.S.)
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Microsoft Corporation (U.S.)
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Building System Planning (U.S.).
AI in Construction Industry Development
Hugging Face, NVIDIA, and ServiceNow (NYSE: NOW) today announced the release of StarCoder2, a series of large language models for code creation that are open-access and establish new benchmarks for efficiency, affordability, and performance in 2024. StarCoder2 was created in collaboration with the BigCode Community, which is run by Hugging Face, the most popular open-source platform where the machine learning community works together on models, datasets, and applications. ServiceNow is the top digital workflow company that makes the world work better for everyone.
Bluebeam, a global leader in providing services and solutions to the architectural, engineering, and construction (AEC) industry, will launch two new artificial intelligence (AI) capabilities in early 2024 along with Bluebeam Labs, a co-creation workspace within Bluebeam Cloud. With its flagship product, Bluebeam Revu, Bluebeam has been investing in AI for over ten years. The company has a strong track record of providing AEC professionals with innovative solutions.
The EY company and IBM announced the release of EY.ai Workforce in 2023. This cutting-edge HR solution enables businesses to incorporate artificial intelligence (AI) into critical HR business operations. This is a critical next step in the firms' partnership and a major turning point in the way AI is being used to boost productivity in the HR department. To help firms innovate their HR operations, EY.ai Workforce blends AI and automation from IBM Watsonx Orchestrate with the domain experience of the EY organization in HR transformation.
The acceptance of tools powered by artificial intelligence (AI), the capacity of machines to carry out operations that would typically need human intelligence, is accelerating. ChatGPT is one technology that is gaining popularity with construction marketers. ChatGPT is now being used by construction marketers for a number of purposes, including content production and consumer engagement.
A prominent supplier of takeoff software for construction estimating, eTakeoff, today announced a partnership with Togal.AI, a rapidly expanding business introducing artificial intelligence to the construction sector, for the year 2023. By the cooperation, the leading product from the seasoned company, eTakeoff Dimension, will be integrated with Togal.cutting-edge AI's artificial intelligence and machine learning technology.
AI in Construction Market Segmentation
AI in Construction Stage Outlook
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Pre-Construction
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Construction Stage
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Post-Construction
AI in Construction Component Outlook
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Solution
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Service
AI in Construction Technology Outlook
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Machine & Deep learning
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NLP
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Neural Networks
AI in Construction Regional Outlook
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North America
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US
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Canada
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Europe
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Germany
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France
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UK
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Italy
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Spain
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Rest of Europe
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Asia-Pacific
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China
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Japan
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India
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Australia
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South Korea
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Australia
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Rest of Asia-Pacific
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Rest of the World
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Middle East
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Africa
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Latin America
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