| Product Code: ETC9678405 | Publication Date: Sep 2024 | Updated Date: Sep 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 Artificial Intelligence in E-commerce Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Artificial Intelligence in E-commerce Market - Industry Life Cycle |
3.4 Thailand Artificial Intelligence in E-commerce Market - Porter's Five Forces |
3.5 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume Share, By End User, 2021 & 2031F |
4 Thailand Artificial Intelligence in E-commerce Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing internet penetration rate in Thailand |
4.2.2 Growing adoption of e-commerce platforms in the country |
4.2.3 Government initiatives to promote digital transformation and innovation in businesses |
4.3 Market Restraints |
4.3.1 Limited skilled workforce in artificial intelligence technology |
4.3.2 Concerns over data privacy and security in e-commerce transactions |
4.3.3 High initial investment costs in implementing artificial intelligence solutions |
5 Thailand Artificial Intelligence in E-commerce Market Trends |
6 Thailand Artificial Intelligence in E-commerce Market, By Types |
6.1 Thailand Artificial Intelligence in E-commerce Market, By End User |
6.1.1 Overview and Analysis |
6.1.2 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By End User, 2021- 2031F |
6.1.3 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By IT and Telecommunication, 2021- 2031F |
6.1.4 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By Retail and E-Commerce, 2021- 2031F |
6.1.5 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By BFSI, 2021- 2031F |
6.1.6 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.1.7 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By Manufacturing, 2021- 2031F |
6.1.8 Thailand Artificial Intelligence in E-commerce Market Revenues & Volume, By Automotive, 2021- 2031F |
7 Thailand Artificial Intelligence in E-commerce Market Import-Export Trade Statistics |
7.1 Thailand Artificial Intelligence in E-commerce Market Export to Major Countries |
7.2 Thailand Artificial Intelligence in E-commerce Market Imports from Major Countries |
8 Thailand Artificial Intelligence in E-commerce Market Key Performance Indicators |
8.1 Customer engagement rate on AI-powered e-commerce platforms |
8.2 Average order value on websites using AI technology |
8.3 Percentage increase in repeat purchases on AI-driven e-commerce sites |
9 Thailand Artificial Intelligence in E-commerce Market - Opportunity Assessment |
9.1 Thailand Artificial Intelligence in E-commerce Market Opportunity Assessment, By End User, 2021 & 2031F |
10 Thailand Artificial Intelligence in E-commerce Market - Competitive Landscape |
10.1 Thailand Artificial Intelligence in E-commerce Market Revenue Share, By Companies, 2024 |
10.2 Thailand Artificial Intelligence in E-commerce 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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