Traditional Banks - Peru

  • Peru
  • In 2024, it is projected that the Net Interest Income in Peru's Traditional Banks market market will reach US$26.08bn.
  • The market segment dominated by Traditional Commercial Banking is expected to have a market volume of US$17.70bn in the same year.
  • Looking ahead, the Net Interest Income is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 3.12%.
  • This growth will result in a market volume of US$30.41bn by 2029.
  • When comparing globally, it is noteworthy that the highest Net Interest Income will be generated China, with a projected amount of US$3,869.0bn in 2024.
  • Traditional banks in Peru are facing increased competition from digital banking platforms, forcing them to innovate in order to retain customers.

Key regions: Germany, United Kingdom, France, Japan, China

 
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Analyst Opinion

Peru has seen significant developments in its Traditional Banks market in recent years, reflecting changing consumer preferences and local economic conditions.

Customer preferences:
Peruvian consumers are increasingly looking for personalized banking services that cater to their individual needs and preferences. This has led traditional banks in Peru to focus on enhancing their customer service and digital offerings to stay competitive in the market. Additionally, there is a growing demand for sustainable banking practices among customers, prompting banks to incorporate environmental and social considerations into their operations.

Trends in the market:
One notable trend in the Traditional Banks market in Peru is the increasing adoption of digital banking solutions. As more Peruvians have access to smartphones and the internet, there has been a surge in online banking activities, leading traditional banks to invest in digital platforms and mobile apps to meet the evolving needs of their customers. Moreover, the market has witnessed a rise in strategic partnerships between traditional banks and fintech companies to offer innovative financial products and services.

Local special circumstances:
Peru's banking sector is influenced by unique local circumstances, such as the country's diverse geographic landscape and varying levels of financial inclusion across regions. Traditional banks in Peru are expanding their presence in rural areas to reach unbanked populations and provide them with access to essential banking services. Furthermore, regulatory developments and government initiatives aimed at promoting financial literacy and inclusion have shaped the operating environment for traditional banks in the country.

Underlying macroeconomic factors:
The growth of Peru's Traditional Banks market is also influenced by macroeconomic factors such as GDP growth, inflation rates, and interest rates. Economic stability and favorable government policies have supported the expansion of the banking sector in Peru, attracting investments and fostering competition among traditional banks. Additionally, demographic trends, including a young and tech-savvy population, have contributed to the evolution of banking practices and the adoption of digital financial services in the country.

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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