Traditional Retail Banking - Cameroon

  • Cameroon
  • In Cameroon, the projected Net Interest Income in the Traditional Retail Banking market market is expected to reach US$4.64bn in 2024.
  • Furthermore, it is estimated that the Net Interest Income will experience an annual growth rate (CAGR 2024-2029) of 4.09%, leading to a market volume of US$5.67bn by 2029.
  • It is worth noting that, in a global comparison, China will generate the highest Net Interest Income, amounting to US$2,426.0bn in 2024.
  • Cameroon's traditional retail banking market is experiencing a surge in digitalization, with more customers embracing mobile banking services.

Key regions: France, Brazil, Germany, United Kingdom, United States

 
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Analyst Opinion

Cameroon's Traditional Retail Banking market is experiencing a notable shift in customer preferences, trends, and local circumstances, driven by various underlying macroeconomic factors.

Customer preferences:
Customers in Cameroon are increasingly gravitating towards digital banking solutions, seeking convenience and efficiency in their banking transactions. This shift is in line with the global trend towards digitalization in the banking sector, as customers value the ease of access to banking services offered by online and mobile platforms. Additionally, there is a growing demand for personalized services and tailored financial products to meet the diverse needs of customers in the market.

Trends in the market:
One prominent trend in Cameroon's Traditional Retail Banking market is the expansion of banking services to underserved regions and populations. Financial inclusion efforts are gaining momentum, with banks focusing on reaching unbanked and underbanked communities through innovative products and partnerships. Moreover, there is a noticeable trend towards sustainable banking practices, with an increasing emphasis on environmental and social responsibility in the financial sector.

Local special circumstances:
Cameroon's Traditional Retail Banking market is influenced by unique local circumstances, such as the country's diverse population and geographic distribution. The presence of both urban centers and rural areas poses challenges and opportunities for banks to cater to the varying needs of different customer segments. Cultural factors also play a role in shaping banking preferences, with traditional values and practices influencing customer behavior in the market.

Underlying macroeconomic factors:
The development of Cameroon's Traditional Retail Banking market is closely tied to macroeconomic factors such as economic growth, regulatory environment, and technological infrastructure. As the economy grows and incomes rise, there is an increasing demand for banking services and financial products. Regulatory reforms aimed at enhancing transparency and stability in the financial sector are also shaping the market landscape. Furthermore, investments in technological infrastructure are driving innovation and digital transformation in the banking industry.

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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