Traditional Commercial Banking - Eastern Africa

  • Eastern Africa
  • In Eastern Africa, the Traditional Commercial Banking market market is anticipated to witness a significant growth in Net Interest Income.
  • According to projections, by 2024, the Net Interest Income is expected to reach US$34.31bn.
  • Furthermore, it is projected to exhibit an annual growth rate of 6.02% (CAGR 2024-2029), ultimately resulting in a market volume of US$45.95bn by 2029.
  • When compared globally, it is noteworthy that China will generate the highest Net Interest Income in the Traditional Commercial Banking market sector.
  • In 2024, China is expected to reach an impressive US$1,444.0bn.
  • In Eastern Africa, traditional commercial banking is experiencing a shift towards digital banking solutions, as customers increasingly embrace mobile and online banking services.

Key regions: China, France, Brazil, Singapore, India

 
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Analyst Opinion

The Traditional Commercial Banking market in Eastern Africa is experiencing significant growth and development.

Customer preferences:
Customers in Eastern Africa are increasingly seeking convenient and accessible banking services. They prefer banks that offer a wide range of digital banking solutions to cater to their evolving needs. Additionally, customers value personalized services and competitive interest rates when choosing a bank for their financial needs.

Trends in the market:
In Kenya, there is a growing trend towards mobile banking and digital payment solutions, with a large percentage of the population using mobile money services for their day-to-day transactions. This has led traditional banks to invest more in digital infrastructure to stay competitive in the market. In Tanzania, the market is seeing an increase in the number of bank branches, indicating a push for financial inclusion in both urban and rural areas. Uganda is experiencing a trend towards sustainable banking practices, with customers showing a preference for banks that prioritize environmental and social responsibility.

Local special circumstances:
In Ethiopia, the banking sector is undergoing liberalization, opening up opportunities for foreign investors to enter the market. This has led to increased competition among banks, driving innovation and improvement in service offerings. In Rwanda, the government has been actively promoting financial literacy and inclusion, leading to a rise in the number of bank accounts and loans. This presents a unique opportunity for traditional banks to expand their customer base and market share in the country.

Underlying macroeconomic factors:
The economic growth and stability in Eastern Africa are contributing to the development of the traditional commercial banking market. With a growing middle class and increasing disposable income, there is a higher demand for banking products and services. Additionally, regulatory reforms and government initiatives aimed at improving the financial sector are creating a conducive environment for the growth of traditional banks in the region.

Methodology

Data coverage:

Data encompasses B2B and B2C enterprises. Figures are based on Net Interest Income, Bank Account Penetration rate, the value of Deposits, the number of depositors, the value of Loans, the number of borrowers, Credit Card Interest Income, the number of ATMs as well as the number of Bank Branches.

Modeling approach / Market size:

Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use data provided by the IMF, World Bank and the annual reports of the top 1000 Banks by asset size. Next we use relevant key market indicators and data from country-specific associations such as GDP, deposit interest rates, lending interest rates or bank account penetration rates. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the S-curve function and exponential trend smoothing are well suited to forecast financial services for digital as well as traditional products and services.

Additional Notes:

The market is updated twice per year in case market dynamics change.

Overview

  • Net Interest Income
  • Analyst Opinion
  • Deposits
  • Loans
  • Credit Card Interest Income
  • ATMs & Bank Branches
  • Methodology
  • Key Market Indicators
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