GCC artificial intelligence in construction market size reached US$ 429 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 1,593.9 Million by 2032, exhibiting a growth rate (CAGR) of 14.80% during 2024-2032. The increasing demand for automation of repetitive tasks such as project scheduling, resource allocation, and data analysis that can significantly enhance overall project efficiency, is driving the market.
Report Attribute
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Key Statistics
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Base Year
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2023
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Forecast Years
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2024-2032
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Historical Years
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2018-2023
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Market Size in 2023
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US$ 429 Million |
Market Forecast in 2032
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US$ 1,593.9 Million |
Market Growth Rate 2024-2032 | 14.80% |
Artificial intelligence (AI) in construction involves the integration of advanced technologies to enhance efficiency, safety, and decision-making throughout the project lifecycle. AI applications in construction include predictive analytics, autonomous machinery, and smart sensors. Machine learning algorithms analyze historical data to predict project outcomes, optimize resource allocation, and identify potential risks. Autonomous construction equipment, guided by AI, improves precision and reduces manual labor. Smart sensors monitor site conditions, ensuring safety and facilitating real-time data collection for project management. AI-driven tools streamline design processes, enabling faster and more accurate project development. Overall, AI in construction empowers industry professionals with data-driven insights, automates repetitive tasks, and ultimately contributes to more cost-effective, sustainable, and safer construction practices.
The artificial intelligence in construction market in GCC is revolutionizing the construction industry, with several driving forces propelling its widespread adoption. Firstly, the increasing complexity of construction projects necessitates advanced technologies to streamline processes. Consequently, AI's ability to analyze vast datasets and extract valuable insights enhances project planning, scheduling, and resource management. Moreover, the growing demand for sustainable and energy-efficient buildings has spurred the integration of AI-driven solutions to optimize energy consumption and enhance overall eco-friendliness. Additionally, the regional labor shortage in the construction sector has heightened the need for automation, making AI an invaluable asset. By deploying robotics and machine learning algorithms, construction companies can mitigate labor challenges, improve efficiency, and accelerate project timelines. Furthermore, the imperative to enhance safety on construction sites has led to the adoption of AI-powered monitoring systems, enabling real-time risk assessments and proactive hazard prevention. Furthermore, the construction industry's recognition of the potential cost savings associated with AI implementation acts as a significant driver. AI's predictive analytics can identify potential issues before they escalate, reducing the likelihood of costly delays and rework. As the construction sector increasingly embraces technological innovation, AI emerges as a pivotal force, reshaping traditional practices and fostering a more efficient and sustainable future for the industry.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the regional and country levels for 2024-2032. Our report has categorized the market based on offering, application, stage, deployment type, industry type, and organization size.
Offering Insights:
The report has provided a detailed breakup and analysis of the market based on the offering. This includes solution and service.
Application Insights:
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes asset management, project management, risk management, schedule management, supply chain management, and others.
Stage Insights:
The report has provided a detailed breakup and analysis of the market based on the stage. This includes pre-construction, construction stage, and post-construction.
Deployment Type Insights:
A detailed breakup and analysis of the market based on the deployment type have also been provided in the report. This includes cloud-based and on-premises.
Industry Type Insights:
The report has provided a detailed breakup and analysis of the market based on the industry type. This includes residential, public infrastructure, heavy construction, and others.
Organization Size Insights:
A detailed breakup and analysis of the market based on the organization size have also been provided in the report. This includes small and medium-sized enterprises (SMEs) and large enterprises.
Country Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Saudi Arabia, United Arab Emirates, Qatar, Kuwait, Oman, and Bahrain.
The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Units | US$ Million |
Scope of the Report | Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Offerings Covered | Solution, Service |
Applications Covered | Asset Management, Project Management, Risk Management, Schedule Management, Supply Chain Management, Others |
Stages Covered | Pre-Construction, Construction Stage, Post-Construction |
Deployment Types Covered | Cloud-based, On-Premises |
Industry Types Covered | Residential, Public Infrastructure, Heavy Construction, Others |
Organization Sizes Covered | Small and Medium-sized Enterprises (SMEs), Large Enterprises |
Countries Covered | Saudi Arabia, United Arab Emirates, Qatar, Kuwait, Oman, Bahrain |
Customization Scope | 10% Free Customization |
Report Price and Purchase Option | Single User License: US$ 3699 Five User License: US$ 4699 Corporate User License: US$ 5699 |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |