| Product Code: ETC9681899 | Publication Date: Sep 2024 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
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 Computational Fluid Dynamics Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Computational Fluid Dynamics Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Computational Fluid Dynamics Market - Industry Life Cycle |
3.4 Thailand Computational Fluid Dynamics Market - Porter's Five Forces |
3.5 Thailand Computational Fluid Dynamics Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.6 Thailand Computational Fluid Dynamics Market Revenues & Volume Share, By End User, 2021 & 2031F |
4 Thailand Computational Fluid Dynamics Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for advanced engineering solutions in industries such as automotive, aerospace, and electronics. |
4.2.2 Growing adoption of simulation software to optimize product designs and reduce time-to-market. |
4.2.3 Government initiatives to promote research and development in the field of computational fluid dynamics. |
4.3 Market Restraints |
4.3.1 High initial investment required for implementing computational fluid dynamics software and training personnel. |
4.3.2 Lack of skilled professionals proficient in using advanced CFD tools. |
4.3.3 Security concerns related to data privacy and intellectual property protection. |
5 Thailand Computational Fluid Dynamics Market Trends |
6 Thailand Computational Fluid Dynamics Market, By Types |
6.1 Thailand Computational Fluid Dynamics Market, By Deployment Model |
6.1.1 Overview and Analysis |
6.1.2 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Deployment Model, 2021- 2031F |
6.1.3 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Cloud-Based Model, 2021- 2031F |
6.1.4 Thailand Computational Fluid Dynamics Market Revenues & Volume, By On-Premises Model, 2021- 2031F |
6.2 Thailand Computational Fluid Dynamics Market, By End User |
6.2.1 Overview and Analysis |
6.2.2 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Automotive, 2021- 2031F |
6.2.3 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Aerospace and Defense, 2021- 2031F |
6.2.4 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Electrical and Electronics, 2021- 2031F |
6.2.5 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Industrial Machinery, 2021- 2031F |
6.2.6 Thailand Computational Fluid Dynamics Market Revenues & Volume, By Energy, 2021- 2031F |
7 Thailand Computational Fluid Dynamics Market Import-Export Trade Statistics |
7.1 Thailand Computational Fluid Dynamics Market Export to Major Countries |
7.2 Thailand Computational Fluid Dynamics Market Imports from Major Countries |
8 Thailand Computational Fluid Dynamics Market Key Performance Indicators |
8.1 Number of research grants and funding allocated for computational fluid dynamics projects in Thailand. |
8.2 Percentage increase in the number of companies using CFD software for product development. |
8.3 Growth in the number of academic institutions offering courses related to computational fluid dynamics. |
9 Thailand Computational Fluid Dynamics Market - Opportunity Assessment |
9.1 Thailand Computational Fluid Dynamics Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.2 Thailand Computational Fluid Dynamics Market Opportunity Assessment, By End User, 2021 & 2031F |
10 Thailand Computational Fluid Dynamics Market - Competitive Landscape |
10.1 Thailand Computational Fluid Dynamics Market Revenue Share, By Companies, 2024 |
10.2 Thailand Computational Fluid Dynamics 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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