| Product Code: ETC9487796 | Publication Date: Sep 2024 | Updated Date: Oct 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 Sudan Cross-border E-commerce Market Overview |
3.1 Sudan Country Macro Economic Indicators |
3.2 Sudan Cross-border E-commerce Market Revenues & Volume, 2021 & 2031F |
3.3 Sudan Cross-border E-commerce Market - Industry Life Cycle |
3.4 Sudan Cross-border E-commerce Market - Porter's Five Forces |
3.5 Sudan Cross-border E-commerce Market Revenues & Volume Share, By Platform, 2021 & 2031F |
3.6 Sudan Cross-border E-commerce Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Sudan Cross-border E-commerce Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing internet penetration and access to smartphones in Sudan |
4.2.2 Growing middle-class population with disposable income |
4.2.3 Rising demand for international products and brands in Sudan |
4.3 Market Restraints |
4.3.1 Lack of reliable payment gateways and logistical infrastructure |
4.3.2 Limited awareness and trust in cross-border e-commerce among Sudanese consumers |
5 Sudan Cross-border E-commerce Market Trends |
6 Sudan Cross-border E-commerce Market, By Types |
6.1 Sudan Cross-border E-commerce Market, By Platform |
6.1.1 Overview and Analysis |
6.1.2 Sudan Cross-border E-commerce Market Revenues & Volume, By Platform, 2021- 2031F |
6.1.3 Sudan Cross-border E-commerce Market Revenues & Volume, By B2B, 2021- 2031F |
6.1.4 Sudan Cross-border E-commerce Market Revenues & Volume, By B2C, 2021- 2031F |
6.1.5 Sudan Cross-border E-commerce Market Revenues & Volume, By C2C, 2021- 2031F |
6.2 Sudan Cross-border E-commerce Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Sudan Cross-border E-commerce Market Revenues & Volume, By Food & Beverage, 2021- 2031F |
6.2.3 Sudan Cross-border E-commerce Market Revenues & Volume, By Personal Care, 2021- 2031F |
6.2.4 Sudan Cross-border E-commerce Market Revenues & Volume, By Furniture & Appliances, 2021- 2031F |
6.2.5 Sudan Cross-border E-commerce Market Revenues & Volume, By Toys, 2021- 2031F |
6.2.6 Sudan Cross-border E-commerce Market Revenues & Volume, By Hobby & DIY, 2021- 2031F |
7 Sudan Cross-border E-commerce Market Import-Export Trade Statistics |
7.1 Sudan Cross-border E-commerce Market Export to Major Countries |
7.2 Sudan Cross-border E-commerce Market Imports from Major Countries |
8 Sudan Cross-border E-commerce Market Key Performance Indicators |
8.1 Average order value (AOV) for cross-border e-commerce transactions in Sudan |
8.2 Percentage of mobile traffic to cross-border e-commerce websites in Sudan |
8.3 Customer acquisition cost (CAC) for cross-border e-commerce companies operating in Sudan |
9 Sudan Cross-border E-commerce Market - Opportunity Assessment |
9.1 Sudan Cross-border E-commerce Market Opportunity Assessment, By Platform, 2021 & 2031F |
9.2 Sudan Cross-border E-commerce Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Sudan Cross-border E-commerce Market - Competitive Landscape |
10.1 Sudan Cross-border E-commerce Market Revenue Share, By Companies, 2024 |
10.2 Sudan 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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