Traditional Commercial Banking - Angola

  • Angola
  • In Angola, the Traditional Commercial Banking market market is expected to witness a significant increase in Net Interest Income.
  • By 2024, it is projected to reach US$417.30m.
  • Looking ahead, this market segment is anticipated to exhibit a Compound Annual Growth Rate (CAGR) of 10.14% from 2024 to 2029.
  • As a result, the market volume is estimated to reach US$676.20m by the end of 2029.
  • When comparing globally, it is noteworthy that China is projected to generate the highest Net Interest Income in the Traditional Commercial Banking market market.
  • In 2024, it is expected to yield a staggering US$1,444.0bn.
  • Angola's traditional commercial banking sector is experiencing a surge in digitalization, as banks adopt innovative technologies to enhance customer experience and streamline operations.

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

 
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Analyst Opinion

Over the past decade, the Traditional Commercial Banking market in Angola has shown significant growth and transformation, reflecting the evolving landscape of the country's financial sector.

Customer preferences:
Angolan customers in the Traditional Commercial Banking market have shown a growing interest in digital banking services, driven by the convenience and accessibility they offer. As technology continues to advance, customers are increasingly opting for online and mobile banking solutions, leading to a shift in the way traditional banks interact with their clients.

Trends in the market:
One of the notable trends in the Traditional Commercial Banking market in Angola is the increasing competition among both local and international banks. This competition has led to innovation in products and services, as banks strive to differentiate themselves and attract a larger customer base. Additionally, there has been a growing focus on financial inclusion, with banks expanding their reach to underserved communities and offering tailored products to meet their needs.

Local special circumstances:
Angola's Traditional Commercial Banking market is also influenced by the country's unique regulatory environment and infrastructure challenges. The regulatory framework plays a crucial role in shaping the operations of banks, while infrastructure limitations, such as inadequate internet connectivity in some regions, can impact the delivery of digital banking services. Moreover, the legacy of the civil war has had a lasting impact on the country's economy and banking sector, influencing consumer behavior and market dynamics.

Underlying macroeconomic factors:
The development of the Traditional Commercial Banking market in Angola is closely tied to broader macroeconomic factors, such as GDP growth, inflation rates, and foreign exchange stability. Economic stability and growth contribute to increased investment opportunities and overall confidence in the banking sector. Additionally, government policies and initiatives aimed at promoting financial stability and sustainable growth play a significant role in shaping the trajectory of the banking market in Angola.

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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