Digital Banks - Brazil

  • Brazil
  • In Brazil, the Digital Banks market market is expected to witness significant growth in terms of Net Interest Income.
  • By 2024, it is projected to reach €51.86bn units.
  • Furthermore, the Net Interest Income is anticipated to exhibit a compound annual growth rate (CAGR 2024-2029) of 7.17%, leading to a market volume of €73.33bn units by 2029.
  • It is worth noting that in the global context, China is expected to generate the highest Net Interest Income, amounting to €429.3bn units in 2024.
  • Digital banks in Brazil are experiencing a rapid growth as consumers embrace convenient and accessible banking services.

Key regions: Singapore, Germany, United Kingdom, South Korea, China

 
Marché
 
Région
 
Comparaison de régions
 
Monnaie
 

Analyst Opinion

We are still at the earliest stages of true FinTech as the future impact of cloud computing, IoT, artificial intelligence, and blockchain cannot even be estimated yet. Each year, tech companies are digging deeper into the financial services value chain and also creating new market structures in underbanked developing countries. Pure FinTech players are now sharing the market with some banks which provide new, digital-friendly banking services and integrate digital payments, microfinancing, and robo-advisor services into existing bank accounts.

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.

Vue d’ensemble

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