| Product Code: ETC4414022 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 United States (US) Artificial Intelligence (AI) in Construction Market Overview |
3.1 United States (US) Country Macro Economic Indicators |
3.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, 2021 & 2031F |
3.3 United States (US) Artificial Intelligence (AI) in Construction Market - Industry Life Cycle |
3.4 United States (US) Artificial Intelligence (AI) in Construction Market - Porter's Five Forces |
3.5 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.6 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Stage, 2021 & 2031F |
3.7 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.9 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Deployment Type, 2021 & 2031F |
3.10 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Industry Type, 2021 & 2031F |
4 United States (US) Artificial Intelligence (AI) in Construction Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of advanced technologies in the construction industry for improved efficiency and productivity. |
4.2.2 Growing demand for automation and digitalization to streamline construction processes. |
4.2.3 Rising investments in AI technologies by construction companies to enhance project management and decision-making. |
4.3 Market Restraints |
4.3.1 High initial costs and implementation challenges associated with integrating AI technology into existing construction workflows. |
4.3.2 Concerns over data security and privacy issues related to the use of AI in construction projects. |
4.3.3 Resistance to change and lack of awareness or expertise in AI technology among construction professionals. |
5 United States (US) Artificial Intelligence (AI) in Construction Market Trends |
6 United States (US) Artificial Intelligence (AI) in Construction Market, By Types |
6.1 United States (US) Artificial Intelligence (AI) in Construction Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Technology, 2021 - 2031F |
6.1.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Machine learning and deep learning, 2021 - 2031F |
6.1.4 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Natural Language Processing (NLP), 2021 - 2031F |
6.2 United States (US) Artificial Intelligence (AI) in Construction Market, By Stage |
6.2.1 Overview and Analysis |
6.2.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Pre-construction, 2021 - 2031F |
6.2.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Construction stage, 2021 - 2031F |
6.2.4 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Post-construction, 2021 - 2031F |
6.3 United States (US) Artificial Intelligence (AI) in Construction Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Platform , 2021 - 2031F |
6.3.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Services, 2021 - 2031F |
6.4 United States (US) Artificial Intelligence (AI) in Construction Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Project management, 2021 - 2031F |
6.4.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Field management, 2021 - 2031F |
6.4.4 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Risk management, 2021 - 2031F |
6.4.5 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Schedule management, 2021 - 2031F |
6.4.6 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Supply chain management, 2021 - 2031F |
6.4.7 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Others, 2021 - 2031F |
6.5 United States (US) Artificial Intelligence (AI) in Construction Market, By Deployment Type |
6.5.1 Overview and Analysis |
6.5.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.5.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By On-premises, 2021 - 2031F |
6.6 United States (US) Artificial Intelligence (AI) in Construction Market, By Industry Type |
6.6.1 Overview and Analysis |
6.6.2 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021 - 2031F |
6.6.3 United States (US) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Large enterprises, 2021 - 2031F |
7 United States (US) Artificial Intelligence (AI) in Construction Market Import-Export Trade Statistics |
7.1 United States (US) Artificial Intelligence (AI) in Construction Market Export to Major Countries |
7.2 United States (US) Artificial Intelligence (AI) in Construction Market Imports from Major Countries |
8 United States (US) Artificial Intelligence (AI) in Construction Market Key Performance Indicators |
8.1 Percentage increase in the adoption rate of AI technology in the construction sector. |
8.2 Average reduction in project timelines or costs achieved through the implementation of AI in construction projects. |
8.3 Number of successful AI pilot projects or implementations within the construction industry. |
9 United States (US) Artificial Intelligence (AI) in Construction Market - Opportunity Assessment |
9.1 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.2 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Stage, 2021 & 2031F |
9.3 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Application, 2021 & 2031F |
9.5 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Deployment Type, 2021 & 2031F |
9.6 United States (US) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Industry Type, 2021 & 2031F |
10 United States (US) Artificial Intelligence (AI) in Construction Market - Competitive Landscape |
10.1 United States (US) Artificial Intelligence (AI) in Construction Market Revenue Share, By Companies, 2024 |
10.2 United States (US) Artificial Intelligence (AI) in Construction Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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