| Product Code: ETC7810001 | Publication Date: Sep 2024 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | 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 Kenya Payday Loans Market Overview |
3.1 Kenya Country Macro Economic Indicators |
3.2 Kenya Payday Loans Market Revenues & Volume, 2021 & 2031F |
3.3 Kenya Payday Loans Market - Industry Life Cycle |
3.4 Kenya Payday Loans Market - Porter's Five Forces |
3.5 Kenya Payday Loans Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Kenya Payday Loans Market Revenues & Volume Share, By Marital Status, 2021 & 2031F |
3.7 Kenya Payday Loans Market Revenues & Volume Share, By Customer Age, 2021 & 2031F |
4 Kenya Payday Loans Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for quick access to short-term funds |
4.2.2 Growth in internet and mobile penetration, facilitating online loan applications |
4.2.3 Rising awareness and acceptance of payday loans as a convenient financial solution |
4.3 Market Restraints |
4.3.1 Regulatory challenges and evolving legal landscape for payday loan providers |
4.3.2 Potential for over-indebtedness among borrowers |
4.3.3 Competition from traditional banking and microfinance institutions offering similar products |
5 Kenya Payday Loans Market Trends |
6 Kenya Payday Loans Market, By Types |
6.1 Kenya Payday Loans Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Kenya Payday Loans Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Kenya Payday Loans Market Revenues & Volume, By Storefront payday loans, 2021- 2031F |
6.1.4 Kenya Payday Loans Market Revenues & Volume, By Online payday loans, 2021- 2031F |
6.2 Kenya Payday Loans Market, By Marital Status |
6.2.1 Overview and Analysis |
6.2.2 Kenya Payday Loans Market Revenues & Volume, By Married, 2021- 2031F |
6.2.3 Kenya Payday Loans Market Revenues & Volume, By Single, 2021- 2031F |
6.3 Kenya Payday Loans Market, By Customer Age |
6.3.1 Overview and Analysis |
6.3.2 Kenya Payday Loans Market Revenues & Volume, By Less than 21, 2021- 2031F |
6.3.3 Kenya Payday Loans Market Revenues & Volume, By 21-30, 2021- 2031F |
6.3.4 Kenya Payday Loans Market Revenues & Volume, By 31-40, 2021- 2031F |
6.3.5 Kenya Payday Loans Market Revenues & Volume, By 41-50, 2021- 2031F |
6.3.6 Kenya Payday Loans Market Revenues & Volume, By More than 50, 2021- 2031F |
7 Kenya Payday Loans Market Import-Export Trade Statistics |
7.1 Kenya Payday Loans Market Export to Major Countries |
7.2 Kenya Payday Loans Market Imports from Major Countries |
8 Kenya Payday Loans Market Key Performance Indicators |
8.1 Average loan approval time |
8.2 Customer retention rate |
8.3 Number of repeat borrowers |
8.4 Percentage of loans disbursed through mobile platforms |
8.5 Rate of loan application rejections due to regulatory compliance issues |
9 Kenya Payday Loans Market - Opportunity Assessment |
9.1 Kenya Payday Loans Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Kenya Payday Loans Market Opportunity Assessment, By Marital Status, 2021 & 2031F |
9.3 Kenya Payday Loans Market Opportunity Assessment, By Customer Age, 2021 & 2031F |
10 Kenya Payday Loans Market - Competitive Landscape |
10.1 Kenya Payday Loans Market Revenue Share, By Companies, 2024 |
10.2 Kenya Payday Loans 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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