| Product Code: ETC7497836 | 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 Hungary Cross-border E-commerce Market Overview |
3.1 Hungary Country Macro Economic Indicators |
3.2 Hungary Cross-border E-commerce Market Revenues & Volume, 2021 & 2031F |
3.3 Hungary Cross-border E-commerce Market - Industry Life Cycle |
3.4 Hungary Cross-border E-commerce Market - Porter's Five Forces |
3.5 Hungary Cross-border E-commerce Market Revenues & Volume Share, By Platform, 2021 & 2031F |
3.6 Hungary Cross-border E-commerce Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Hungary Cross-border E-commerce Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing internet penetration and smartphone usage in Hungary |
4.2.2 Growing consumer preference for a wider variety of products not available locally |
4.2.3 Ease of payment methods and secure online transactions |
4.3 Market Restraints |
4.3.1 Challenges related to logistics and transportation for cross-border e-commerce |
4.3.2 Currency exchange rate fluctuations impacting consumer purchasing power |
5 Hungary Cross-border E-commerce Market Trends |
6 Hungary Cross-border E-commerce Market, By Types |
6.1 Hungary Cross-border E-commerce Market, By Platform |
6.1.1 Overview and Analysis |
6.1.2 Hungary Cross-border E-commerce Market Revenues & Volume, By Platform, 2021- 2031F |
6.1.3 Hungary Cross-border E-commerce Market Revenues & Volume, By B2B, 2021- 2031F |
6.1.4 Hungary Cross-border E-commerce Market Revenues & Volume, By B2C, 2021- 2031F |
6.1.5 Hungary Cross-border E-commerce Market Revenues & Volume, By C2C, 2021- 2031F |
6.2 Hungary Cross-border E-commerce Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Hungary Cross-border E-commerce Market Revenues & Volume, By Food & Beverage, 2021- 2031F |
6.2.3 Hungary Cross-border E-commerce Market Revenues & Volume, By Personal Care, 2021- 2031F |
6.2.4 Hungary Cross-border E-commerce Market Revenues & Volume, By Furniture & Appliances, 2021- 2031F |
6.2.5 Hungary Cross-border E-commerce Market Revenues & Volume, By Toys, 2021- 2031F |
6.2.6 Hungary Cross-border E-commerce Market Revenues & Volume, By Hobby & DIY, 2021- 2031F |
7 Hungary Cross-border E-commerce Market Import-Export Trade Statistics |
7.1 Hungary Cross-border E-commerce Market Export to Major Countries |
7.2 Hungary Cross-border E-commerce Market Imports from Major Countries |
8 Hungary Cross-border E-commerce Market Key Performance Indicators |
8.1 Average order value (AOV) for cross-border e-commerce transactions in Hungary |
8.2 Percentage of mobile transactions in the overall cross-border e-commerce market |
8.3 Rate of return for cross-border e-commerce purchases in Hungary |
9 Hungary Cross-border E-commerce Market - Opportunity Assessment |
9.1 Hungary Cross-border E-commerce Market Opportunity Assessment, By Platform, 2021 & 2031F |
9.2 Hungary Cross-border E-commerce Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Hungary Cross-border E-commerce Market - Competitive Landscape |
10.1 Hungary Cross-border E-commerce Market Revenue Share, By Companies, 2024 |
10.2 Hungary Cross-border 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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