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)
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.
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.
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.
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.
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.
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.
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.
IBM Corporation (U.S.)
Autodesk (U.S.)
Oracle Corporation (U.S)
SAP SE (Germany)
Alice Technologies (U.S.)
Aurora Computer Services(U.K)
eSUB (U.S.)
Smartvid.io(U.S.)
Microsoft Corporation (U.S.)
Building System Planning (U.S.).
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.
Pre-Construction
Construction Stage
Post-Construction
Solution
Service
Machine & Deep learning
NLP
Neural Networks
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
| Report Attribute/Metric | Details |
| Market Size 2023 | USD 0.47 Billion |
| Market Size 2024 | USD 0.67 billion |
| Market Size 2032 | USD 2.87 Billion |
| Compound Annual Growth Rate (CAGR) | 32.66% (2024-2032) |
| Base Year | 2023 |
| Market Forecast Period | 2024-2032 |
| Historical Data | 2019- 2021 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Stage, Component, Technology and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
| Countries Covered | The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | 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.), Building System Planning (U.S.). |
| Key Market Opportunities | The AI in construction market is expanding due to increased demand by the economies for developing smart projects, which provides improved amenities that propels the real estate sectors. |
| Key Market Dynamics | Growing demand for AI solutions and platforms, as well as construction sites |
AI in Construction Market Highlights:
Frequently Asked Questions (FAQ) :
The AI in construction market size was valued at USD 0.47 Billion in 2023.
The AI in construction market is projected to grow at a CAGR of 32.66% during the forecast period, 2024-2032.
North America had the largest share of AI in construction market
The key players in the AI in construction market are 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.), Building System Planning (U.S.).
The Pre-construction AI in construction category dominated the AI in construction market in 2022.
The solutions had the largest share of the AI in construction market.
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Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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