Traditional Retail Banking - Romania

  • Romania
  • In Romania, the Traditional Retail Banking market market is expected to witness a significant increase in Net Interest Income, reaching US$1,514.00m by the year 2024.
  • Looking ahead, this segment is projected to grow at an annual growth rate (CAGR 2024-2028) of 0.61%, resulting in a market volume of US$1,551.00m by 2028.
  • When compared globally, it is worth noting that in China will generate the highest Net Interest Income, with an estimated value of US$2,941.0bn in 2024.
  • Romania's traditional retail banking market is experiencing a shift towards digital banking services to meet the evolving needs of tech-savvy customers.

Key regions: Singapore, Germany, India, Japan, South Korea

 
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Analyst Opinion

In Romania, the Traditional Retail Banking market is experiencing notable shifts and developments.

Customer preferences:
Customers in Romania are increasingly gravitating towards digital banking solutions, driven by the convenience and accessibility they offer. Mobile banking apps and online banking platforms are becoming more popular among tech-savvy consumers who seek efficient and user-friendly banking experiences. However, there is still a significant segment of the population that values in-person interactions and personalized services provided by traditional brick-and-mortar bank branches.

Trends in the market:
One of the prominent trends in the Romanian Traditional Retail Banking market is the growing competition from digital banks and fintech companies. These new players are disrupting the market by offering innovative products and services, attracting younger demographics who are looking for alternative banking options. As a result, traditional banks are under pressure to enhance their digital capabilities and streamline their operations to remain competitive in the evolving landscape.

Local special circumstances:
Romania's Traditional Retail Banking market is also influenced by unique local circumstances, such as the country's economic growth and rising disposable incomes. As more Romanians enter the middle class, there is an increasing demand for a wider range of banking products and services, including loans, mortgages, and investment opportunities. Moreover, the regulatory environment in Romania plays a crucial role in shaping the banking sector, with stringent compliance requirements impacting the operations and strategies of traditional banks.

Underlying macroeconomic factors:
The development of the Traditional Retail Banking market in Romania is closely tied to broader macroeconomic factors, including GDP growth, inflation rates, and interest rates. Economic stability and growth contribute to increased consumer confidence and spending, driving demand for banking services. Additionally, fluctuations in interest rates can impact borrowing and saving behaviors, influencing the profitability and performance of traditional banks in the market. Overall, the Traditional Retail Banking market in Romania is poised for further evolution as it adapts to changing customer preferences, technological advancements, and macroeconomic conditions.

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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