| Product Code: ETC10075295 | Publication Date: Sep 2024 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | 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 Vietnam Graphics Processing Unit Market Overview |
3.1 Vietnam Country Macro Economic Indicators |
3.2 Vietnam Graphics Processing Unit Market Revenues & Volume, 2021 & 2031F |
3.3 Vietnam Graphics Processing Unit Market - Industry Life Cycle |
3.4 Vietnam Graphics Processing Unit Market - Porter's Five Forces |
3.5 Vietnam Graphics Processing Unit Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Vietnam Graphics Processing Unit Market Revenues & Volume Share, By Applications, 2021 & 2031F |
4 Vietnam Graphics Processing Unit Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for high-quality graphics in gaming and entertainment industries in Vietnam |
4.2.2 Growth of the e-sports sector driving the need for powerful GPUs |
4.2.3 Rising adoption of artificial intelligence and machine learning technologies in various industries |
4.3 Market Restraints |
4.3.1 High initial investment required for purchasing advanced GPUs |
4.3.2 Limited awareness and education about the benefits of using GPUs in certain industries in Vietnam |
4.3.3 Lack of skilled professionals to effectively utilize advanced GPU technology |
5 Vietnam Graphics Processing Unit Market Trends |
6 Vietnam Graphics Processing Unit Market, By Types |
6.1 Vietnam Graphics Processing Unit Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Vietnam Graphics Processing Unit Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Vietnam Graphics Processing Unit Market Revenues & Volume, By Discrete GPUs, 2021- 2031F |
6.1.4 Vietnam Graphics Processing Unit Market Revenues & Volume, By Integrated GPUs, 2021- 2031F |
6.1.5 Vietnam Graphics Processing Unit Market Revenues & Volume, By Hybrid GPUs, 2021- 2031F |
6.2 Vietnam Graphics Processing Unit Market, By Applications |
6.2.1 Overview and Analysis |
6.2.2 Vietnam Graphics Processing Unit Market Revenues & Volume, By Mobile Devices, 2021- 2031F |
6.2.3 Vietnam Graphics Processing Unit Market Revenues & Volume, By Pcs and Workstations, 2021- 2031F |
6.2.4 Vietnam Graphics Processing Unit Market Revenues & Volume, By Servers/Data Centers, 2021- 2031F |
6.2.5 Vietnam Graphics Processing Unit Market Revenues & Volume, By Automotive/Self-driving Vehicles, 2021- 2031F |
6.2.6 Vietnam Graphics Processing Unit Market Revenues & Volume, By Gaming Consoles, 2021- 2031F |
6.2.7 Vietnam Graphics Processing Unit Market Revenues & Volume, By Other Applications, 2021- 2031F |
7 Vietnam Graphics Processing Unit Market Import-Export Trade Statistics |
7.1 Vietnam Graphics Processing Unit Market Export to Major Countries |
7.2 Vietnam Graphics Processing Unit Market Imports from Major Countries |
8 Vietnam Graphics Processing Unit Market Key Performance Indicators |
8.1 Average frame rates in gaming benchmarks for GPUs in Vietnam |
8.2 Number of e-sports tournaments and participants utilizing GPUs |
8.3 Adoption rate of AI and machine learning technologies requiring GPUs in different sectors of the Vietnamese economy |
9 Vietnam Graphics Processing Unit Market - Opportunity Assessment |
9.1 Vietnam Graphics Processing Unit Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Vietnam Graphics Processing Unit Market Opportunity Assessment, By Applications, 2021 & 2031F |
10 Vietnam Graphics Processing Unit Market - Competitive Landscape |
10.1 Vietnam Graphics Processing Unit Market Revenue Share, By Companies, 2024 |
10.2 Vietnam Graphics Processing Unit 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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