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The research report also includes detailed analyses of the competitive landscape of the market and information about 20 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in "USD Billion" for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.
Artificial Intelligence (AI) is reshaping the construction industry by optimizing project timelines, enhancing preconstruction phases, and revolutionizing designing through technologies like Building Information Modeling (BIM) and generative design. Skilled labor shortages are being addressed with AI-driven solutions that streamline workflows and mitigate economic cycles' impact on construction activity. AI's role extends to procurement, transforming business models and preventing cost and schedule overruns through advanced risk mitigation techniques and predictive analytics. Safety concerns are addressed with AI-powered safety monitoring systems, real-time risk scoring, and smart construction technologies like autonomous robots and IoT devices. This integration not only improves efficiency and quality but also ensures safer job sites and reduces accidents, marking a pivotal shift towards AI-enhanced construction practices.
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Artificial Intelligence (AI) In Construction Market Scope |
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Report Coverage |
Details |
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Page number |
172 |
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Base year |
2023 |
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Historic period |
2018-2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 30.65% |
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Market Growth 2024-2028 |
USD 4.05 billion |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
29.8 |
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Regional analysis |
North America, Europe, APAC, Middle East and Africa, and South America |
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Performing market contribution |
North America at 32% |
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Key countries |
US, China, Japan, UK, and Germany |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
ALICE Technologies, Amazon.com Inc., Autodesk Inc., Bentley Systems Inc., Customindz Inc., Darktrace Holdings Ltd., Dassault Systemes SE, Doxel Inc., eSUB Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Newmetrix, NVIDIA Corp., Oracle Corp., PTC Inc., SAP SE, Siemens AG, The Access Group, and TUV SUD AG |
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Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for the forecast period. |
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Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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The Artificial Intelligence in the Construction Market size is forecast to increase by USD 4.06 billion, at a CAGR of 30.65% between 2023 and 2028. The growth of the market depends on several factors, including the increasing demand for data integration and visual analytics, the reliability of data-guided decisions, and the growth of the global construction market. AI is a combination of hardware and software that develops smart machines that can think and learn like humans. In the construction industry, it helps builders, contractors, architects, and engineers by performing highly repetitive, monotonous, hazardous, and high-productive tasks. AI with decision-making ability allows users to design complex projects and automate day-to-day decision-making tasks, along with improved predictions.
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Solution
7 Market Segmentation by End-user
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
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