| Product Code: ETC4414030 | 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 Kingdom (UK) Artificial Intelligence (AI) in Construction Market Overview |
3.1 United Kingdom (UK) Country Macro Economic Indicators |
3.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, 2021 & 2031F |
3.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market - Industry Life Cycle |
3.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market - Porter's Five Forces |
3.5 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.6 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Stage, 2021 & 2031F |
3.7 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.9 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Deployment Type, 2021 & 2031F |
3.10 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Industry Type, 2021 & 2031F |
4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Technological advancements driving AI adoption in the construction industry |
4.2.2 Increasing demand for automation and efficiency in construction processes |
4.2.3 Government initiatives and investments in AI technology for infrastructure development |
4.3 Market Restraints |
4.3.1 High initial implementation costs of AI technology in construction projects |
4.3.2 Resistance to change and lack of awareness among industry stakeholders about AI benefits |
4.3.3 Data privacy and security concerns related to AI applications in construction |
5 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Trends |
6 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Types |
6.1 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Technology, 2021 - 2031F |
6.1.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Machine learning and deep learning, 2021 - 2031F |
6.1.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Natural Language Processing (NLP), 2021 - 2031F |
6.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Stage |
6.2.1 Overview and Analysis |
6.2.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Pre-construction, 2021 - 2031F |
6.2.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Construction stage, 2021 - 2031F |
6.2.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Post-construction, 2021 - 2031F |
6.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Platform , 2021 - 2031F |
6.3.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Services, 2021 - 2031F |
6.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Project management, 2021 - 2031F |
6.4.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Field management, 2021 - 2031F |
6.4.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Risk management, 2021 - 2031F |
6.4.5 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Schedule management, 2021 - 2031F |
6.4.6 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Supply chain management, 2021 - 2031F |
6.4.7 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Others, 2021 - 2031F |
6.5 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Deployment Type |
6.5.1 Overview and Analysis |
6.5.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.5.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By On-premises, 2021 - 2031F |
6.6 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market, By Industry Type |
6.6.1 Overview and Analysis |
6.6.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021 - 2031F |
6.6.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Large enterprises, 2021 - 2031F |
7 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Import-Export Trade Statistics |
7.1 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Export to Major Countries |
7.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Imports from Major Countries |
8 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Key Performance Indicators |
8.1 Percentage increase in the adoption rate of AI tools and solutions by construction companies |
8.2 Reduction in project timelines and costs due to the implementation of AI technology |
8.3 Improvement in construction site safety metrics through AI-driven monitoring and analysis |
9 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market - Opportunity Assessment |
9.1 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.2 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Stage, 2021 & 2031F |
9.3 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Application, 2021 & 2031F |
9.5 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Deployment Type, 2021 & 2031F |
9.6 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Industry Type, 2021 & 2031F |
10 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market - Competitive Landscape |
10.1 United Kingdom (UK) Artificial Intelligence (AI) in Construction Market Revenue Share, By Companies, 2024 |
10.2 United Kingdom (UK) 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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