| Product Code: ETC12140847 | Publication Date: Apr 2025 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Bhawna Singh | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
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 Fabric-Based Computing Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Fabric-Based Computing Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Fabric-Based Computing Market - Industry Life Cycle |
3.4 Thailand Fabric-Based Computing Market - Porter's Five Forces |
3.5 Thailand Fabric-Based Computing Market Revenues & Volume Share, By Product Type, 2021 & 2031F |
3.6 Thailand Fabric-Based Computing Market Revenues & Volume Share, By Fabric Type, 2021 & 2031F |
3.7 Thailand Fabric-Based Computing Market Revenues & Volume Share, By Technology Type, 2021 & 2031F |
3.8 Thailand Fabric-Based Computing Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Thailand Fabric-Based Computing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for wearable technology |
4.2.2 Growing focus on smart textiles and e-textiles |
4.2.3 Advancements in fabric-based computing technologies |
4.3 Market Restraints |
4.3.1 High initial costs of fabric-based computing products |
4.3.2 Limited awareness and adoption of fabric-based computing in Thailand |
5 Thailand Fabric-Based Computing Market Trends |
6 Thailand Fabric-Based Computing Market, By Types |
6.1 Thailand Fabric-Based Computing Market, By Product Type |
6.1.1 Overview and Analysis |
6.1.2 Thailand Fabric-Based Computing Market Revenues & Volume, By Product Type, 2021 - 2031F |
6.1.3 Thailand Fabric-Based Computing Market Revenues & Volume, By Smart Fabrics, 2021 - 2031F |
6.1.4 Thailand Fabric-Based Computing Market Revenues & Volume, By E-textiles, 2021 - 2031F |
6.1.5 Thailand Fabric-Based Computing Market Revenues & Volume, By Fabric-Based Memory Devices, 2021 - 2031F |
6.1.6 Thailand Fabric-Based Computing Market Revenues & Volume, By Textile-Based Sensors, 2021 - 2031F |
6.2 Thailand Fabric-Based Computing Market, By Fabric Type |
6.2.1 Overview and Analysis |
6.2.2 Thailand Fabric-Based Computing Market Revenues & Volume, By Conductive or Flexible Fabrics, 2021 - 2031F |
6.2.3 Thailand Fabric-Based Computing Market Revenues & Volume, By Sensors and Microchips, 2021 - 2031F |
6.2.4 Thailand Fabric-Based Computing Market Revenues & Volume, By Textile Materials with Memory Storage, 2021 - 2031F |
6.2.5 Thailand Fabric-Based Computing Market Revenues & Volume, By Conductive Fibers, 2021 - 2031F |
6.3 Thailand Fabric-Based Computing Market, By Technology Type |
6.3.1 Overview and Analysis |
6.3.2 Thailand Fabric-Based Computing Market Revenues & Volume, By Nanoelectronics, 2021 - 2031F |
6.3.3 Thailand Fabric-Based Computing Market Revenues & Volume, By Embedded Systems, 2021 - 2031F |
6.3.4 Thailand Fabric-Based Computing Market Revenues & Volume, By High-Speed Data Transfer, 2021 - 2031F |
6.3.5 Thailand Fabric-Based Computing Market Revenues & Volume, By Signal Processing, 2021 - 2031F |
6.4 Thailand Fabric-Based Computing Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 Thailand Fabric-Based Computing Market Revenues & Volume, By Wearable Technology, 2021 - 2031F |
6.4.3 Thailand Fabric-Based Computing Market Revenues & Volume, By Health Monitoring and Fitness, 2021 - 2031F |
6.4.4 Thailand Fabric-Based Computing Market Revenues & Volume, By Data Storage and Processing, 2021 - 2031F |
6.4.5 Thailand Fabric-Based Computing Market Revenues & Volume, By Environmental Monitoring, 2021 - 2031F |
7 Thailand Fabric-Based Computing Market Import-Export Trade Statistics |
7.1 Thailand Fabric-Based Computing Market Export to Major Countries |
7.2 Thailand Fabric-Based Computing Market Imports from Major Countries |
8 Thailand Fabric-Based Computing Market Key Performance Indicators |
8.1 Percentage of RD investment in fabric-based computing technologies |
8.2 Number of partnerships and collaborations in the smart textile industry |
8.3 Rate of growth in the number of patents related to fabric-based computing in Thailand |
8.4 Percentage of textile manufacturers offering fabric-based computing solutions |
8.5 Number of academic research papers published on fabric-based computing in Thailand |
9 Thailand Fabric-Based Computing Market - Opportunity Assessment |
9.1 Thailand Fabric-Based Computing Market Opportunity Assessment, By Product Type, 2021 & 2031F |
9.2 Thailand Fabric-Based Computing Market Opportunity Assessment, By Fabric Type, 2021 & 2031F |
9.3 Thailand Fabric-Based Computing Market Opportunity Assessment, By Technology Type, 2021 & 2031F |
9.4 Thailand Fabric-Based Computing Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Thailand Fabric-Based Computing Market - Competitive Landscape |
10.1 Thailand Fabric-Based Computing Market Revenue Share, By Companies, 2024 |
10.2 Thailand Fabric-Based Computing 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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