| Product Code: ETC10071032 | Publication Date: Sep 2024 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sumit Sagar | 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 Commerce Artificial Intelligence Market Overview |
3.1 Vietnam Country Macro Economic Indicators |
3.2 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, 2021 & 2031F |
3.3 Vietnam Commerce Artificial Intelligence Market - Industry Life Cycle |
3.4 Vietnam Commerce Artificial Intelligence Market - Porter's Five Forces |
3.5 Vietnam Commerce Artificial Intelligence Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Vietnam Commerce Artificial Intelligence Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Vietnam Commerce Artificial Intelligence Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of e-commerce platforms in Vietnam |
4.2.2 Growing demand for personalized shopping experiences |
4.2.3 Government support and initiatives to promote AI technology in commerce sector |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in AI technology |
4.3.2 Data privacy and security concerns |
4.3.3 High initial investment costs for implementing AI solutions in commerce |
5 Vietnam Commerce Artificial Intelligence Market Trends |
6 Vietnam Commerce Artificial Intelligence Market, By Types |
6.1 Vietnam Commerce Artificial Intelligence Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Deep Learning, 2021- 2031F |
6.1.4 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Machine Learning, 2021- 2031F |
6.1.5 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Natural Language Processing, 2021- 2031F |
6.2 Vietnam Commerce Artificial Intelligence Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Customer Relationship Management, 2021- 2031F |
6.2.3 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Internet of Things (IoT), 2021- 2031F |
6.2.4 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Supply Chain Analysis, 2021- 2031F |
6.2.5 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Warehouse Automation, 2021- 2031F |
6.2.6 Vietnam Commerce Artificial Intelligence Market Revenues & Volume, By Ecommerce Marketing, 2021- 2031F |
7 Vietnam Commerce Artificial Intelligence Market Import-Export Trade Statistics |
7.1 Vietnam Commerce Artificial Intelligence Market Export to Major Countries |
7.2 Vietnam Commerce Artificial Intelligence Market Imports from Major Countries |
8 Vietnam Commerce Artificial Intelligence Market Key Performance Indicators |
8.1 Customer engagement and retention rates |
8.2 Average order value (AOV) on AI-powered platforms |
8.3 Conversion rates on AI-driven product recommendations |
8.4 Customer satisfaction scores on personalized shopping experiences |
8.5 Rate of adoption of AI technologies by commerce businesses |
9 Vietnam Commerce Artificial Intelligence Market - Opportunity Assessment |
9.1 Vietnam Commerce Artificial Intelligence Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Vietnam Commerce Artificial Intelligence Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Vietnam Commerce Artificial Intelligence Market - Competitive Landscape |
10.1 Vietnam Commerce Artificial Intelligence Market Revenue Share, By Companies, 2024 |
10.2 Vietnam Commerce Artificial Intelligence 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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