| Product Code: ETC4414046 | Publication Date: Jul 2023 | Updated Date: Jul 2026 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |

The Thailand Artificial Intelligence (AI) in Construction Market was estimated at USD 280 Million in 2025 and is projected to reach USD 371 Million by 2032, growing at a CAGR of 6.4% from 2026 to 2032.
The integration of AI technologies is currently the most transformative force in the Thailand Artificial Intelligence (AI) in Construction Market. This shift is largely driven by the construction industry's push for enhanced efficiency, safety, and data-driven decision-making, marking a significant departure from traditional practices.
As more construction firms adopt AI for project management and design optimization, the market is rapidly evolving. The focus on predictive analytics and autonomous equipment not only streamlines processes but also helps mitigate risks, allowing for better resource utilization across various construction projects.
This graph illustrates the annual growth rates of the Thailand Artificial Intelligence (AI) in Construction Market from 2021 to 2032, highlighting a steady upward trajectory and projected expansion over the forecast period.

The table below presents the year‑wise growth rates along with the key drivers influencing the market
| Year | Growth Rate | Major Drivers |
| 2021 | -2.2% | Construction Labor Ministry strict AI implementation regulations hindered adoption. |
| 2022 | 4.0% | Thailand's Digital Economy Promotion Agency supports AI adoption. |
| 2023 | 5.0% | Government incentives for smart construction technology investments. |
| 2024 | 4.9% | Increased private sector funding for AI construction startups. |
| 2025 | 5.7% | Growing urbanization in Chiang Mai fuels AI solutions demand. |
| 2026 | 5.3% | Adoption of robotics in infrastructure to reduce labor costs. |
| 2027 | 4.8% | Thai construction regulations encourage advanced technology integration. |
| 2028 | 5.4% | Surge in AI applications for disaster resilience planning. |
| 2029 | 6.2% | BIM technology's integration accelerates with AI solutions. |
| 2030 | 6.1% | Focus on sustainable building practices drives AI usage. |
| 2031 | 6.5% | National strategy promotes AI for infrastructure innovation. |
| 2032 | 6.4% | Investment in digital twins enhances construction project efficiency. |
Note: Market size estimations and growth projections presented in this report are based on 6Wresearch's proprietary forecasting methodology, utilizing the latest available industry data, government publications, and primary research inputs.
Below are some of the specific key takeaways from the market, including:
Despite the promising outlook, the Thailand Artificial Intelligence (AI) in Construction Market faces several constraints. One of the primary challenges is the resistance to change within the traditional construction sector, where established practices are deeply rooted. This inertia makes it difficult to implement innovative AI solutions. Interoperability issues between new AI systems and existing workflows also hinder effective integration. Stakeholders must address concerns about the reliability and safety of AI technologies to build trust. Additionally, bridging the skill gap and training the workforce to adapt to AI applications remains a pressing challenge.
Several trends are currently shaping the Thailand Artificial Intelligence (AI) in Construction Market. The rising demand for data analytics is driving construction firms to adopt AI solutions that enhance project efficiency and safety. Additionally, there is an increased focus on sustainability, with AI being utilized to optimize resource management and minimize waste. The use of drones and robotics for site monitoring and autonomous machinery is also gaining traction, further revolutionizing construction practices. These trends reflect a broader movement towards digital transformation within the sector.
Opportunities in the Thailand Artificial Intelligence (AI) in Construction Market are abundant. The growing demand for smart construction solutions presents significant avenues for investment. Companies that can effectively leverage AI for predictive analytics and project management stand to gain a competitive edge. on top of that, as the workforce becomes more educated about AI technologies, the market will likely see an uptick in innovative applications. Public-private partnerships aimed at advancing digital infrastructure in construction can also unlock new growth opportunities.
The Thai government is actively shaping the Artificial Intelligence (AI) in Construction Market through various initiatives focused on digital transformation and infrastructure development. These policies are crucial for fostering an environment where AI technologies can thrive. The government's commitment to enhancing construction efficiency and safety is evident in its strategic priorities, which include encouraging technological adoption and standardization across the sector.
Looking ahead to 2026-2032, the Thailand Artificial Intelligence (AI) in Construction Market is anticipated to continue its growth trajectory, driven by ongoing technological advancements and increased investment. As firms increasingly adopt AI for various applications, the focus will likely shift towards enhancing collaboration and interoperability among systems. The push for sustainability will also prompt more construction companies to incorporate AI solutions that align with green building practices. Ultimately, the market is set to transform how construction projects are managed, executed, and optimized.
Recent activity in the Thailand Artificial Intelligence (AI) in Construction Market indicates a strong momentum towards technological integration and innovation. Companies are increasingly prioritizing AI solutions to improve efficiency and address industry challenges. This ongoing evolution reflects a broader commitment to modernizing construction practices in Thailand.
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 Thailand Artificial Intelligence (AI) in Construction Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, 2022 & 2032F |
3.3 Thailand Artificial Intelligence (AI) in Construction Market - Industry Life Cycle |
3.4 Thailand Artificial Intelligence (AI) in Construction Market - Porter's Five Forces |
3.5 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Technology, 2022 & 2032F |
3.6 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Stage, 2022 & 2032F |
3.7 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Component , 2022 & 2032F |
3.8 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Application, 2022 & 2032F |
3.9 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Deployment Type, 2022 & 2032F |
3.10 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume Share, By Industry Type, 2022 & 2032F |
4 Thailand Artificial Intelligence (AI) in Construction Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Government initiatives promoting the adoption of AI in construction |
4.2.2 Increasing demand for infrastructure development in Thailand |
4.2.3 Growing awareness among construction companies about the benefits of AI technology |
4.3 Market Restraints |
4.3.1 High initial investment costs for implementing AI technology in construction |
4.3.2 Resistance to change and adoption of new technologies within the construction industry |
5 Thailand Artificial Intelligence (AI) in Construction Market Trends |
6 Thailand Artificial Intelligence (AI) in Construction Market, By Types |
6.1 Thailand Artificial Intelligence (AI) in Construction Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Technology, 2022-2032F |
6.1.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Machine learning and deep learning, 2022-2032F |
6.1.4 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Natural Language Processing (NLP), 2022-2032F |
6.2 Thailand Artificial Intelligence (AI) in Construction Market, By Stage |
6.2.1 Overview and Analysis |
6.2.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Pre-construction, 2022-2032F |
6.2.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Construction stage, 2022-2032F |
6.2.4 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Post-construction, 2022-2032F |
6.3 Thailand Artificial Intelligence (AI) in Construction Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Platform , 2022-2032F |
6.3.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Services, 2022-2032F |
6.4 Thailand Artificial Intelligence (AI) in Construction Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Project management, 2022-2032F |
6.4.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Field management, 2022-2032F |
6.4.4 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Risk management, 2022-2032F |
6.4.5 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Schedule management, 2022-2032F |
6.4.6 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Supply chain management, 2022-2032F |
6.4.7 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Others, 2022-2032F |
6.5 Thailand Artificial Intelligence (AI) in Construction Market, By Deployment Type |
6.5.1 Overview and Analysis |
6.5.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Cloud, 2022-2032F |
6.5.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By On-premises, 2022-2032F |
6.6 Thailand Artificial Intelligence (AI) in Construction Market, By Industry Type |
6.6.1 Overview and Analysis |
6.6.2 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2022-2032F |
6.6.3 Thailand Artificial Intelligence (AI) in Construction Market Revenues & Volume, By Large enterprises, 2022-2032F |
7 Thailand Artificial Intelligence (AI) in Construction Market Import-Export Trade Statistics |
7.1 Thailand Artificial Intelligence (AI) in Construction Market Export to Major Countries |
7.2 Thailand Artificial Intelligence (AI) in Construction Market Imports from Major Countries |
8 Thailand Artificial Intelligence (AI) in Construction Market Key Performance Indicators |
8.1 Percentage increase in the number of construction projects utilizing AI technology |
8.2 Percentage growth in AI solution providers catering to the construction sector in Thailand |
8.3 Average time saved in project completion due to the implementation of AI technology |
9 Thailand Artificial Intelligence (AI) in Construction Market - Opportunity Assessment |
9.1 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Technology, 2022 & 2032F |
9.2 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Stage, 2022 & 2032F |
9.3 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Component , 2022 & 2032F |
9.4 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Application, 2022 & 2032F |
9.5 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Deployment Type, 2022 & 2032F |
9.6 Thailand Artificial Intelligence (AI) in Construction Market Opportunity Assessment, By Industry Type, 2022 & 2032F |
10 Thailand Artificial Intelligence (AI) in Construction Market - Competitive Landscape |
10.1 Thailand Artificial Intelligence (AI) in Construction Market Revenue Share, By Companies, 2025 |
10.2 Thailand Artificial Intelligence (AI) in Construction Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
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