Traditional Retail Banking - Moldova

  • Moldova
  • In Moldova, the Traditional Retail Banking market market is forecasted to witness a significant increase in Net Interest Income, reaching a projected value of US$220.30m in 2024.
  • Looking ahead, it is anticipated that the Net Interest Income will continue to grow at a compound annual growth rate (CAGR 2024-2029) of -3.20%, ultimately leading to a market volume of US$187.20m by 2029.
  • When comparing Moldova's Net Interest Income to the global market, it is important to note that China is expected to generate the highest amount of Net Interest Income.
  • In 2024, China is projected to reach a staggering value of US$2,426.0bn.
  • This demonstrates the dominant position of the United States in the global market segment of Traditional Retail Banking market.
  • Moldova's traditional retail banking market is experiencing a shift towards digital services to cater to the tech-savvy population.

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

 
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Analyst Opinion

The Traditional Retail Banking market in Moldova is experiencing significant growth and evolution in response to changing customer preferences and local special circumstances.

Customer preferences:
Customers in Moldova are increasingly seeking convenience, personalized services, and digital banking solutions. With the rise of digitalization and the growing tech-savvy population, customers are looking for seamless online and mobile banking experiences. This shift in preferences is driving traditional retail banks in Moldova to invest in digital transformation to meet customer demands and stay competitive in the market.

Trends in the market:
One of the key trends in the Traditional Retail Banking market in Moldova is the expansion of digital banking services. Traditional banks are investing in online and mobile banking platforms to provide customers with 24/7 access to their accounts, quick transactions, and personalized financial management tools. Moreover, there is a growing trend towards offering omni-channel banking experiences, where customers can seamlessly switch between online, mobile, and in-person banking services.

Local special circumstances:
Moldova's banking sector is heavily influenced by the country's economic and political landscape. The banking sector has been working to enhance transparency, compliance, and risk management practices to regain customer trust after facing challenges in the past. Additionally, the relatively small population and market size in Moldova present unique opportunities and challenges for traditional retail banks operating in the country.

Underlying macroeconomic factors:
Macroeconomic factors such as GDP growth, inflation rates, and interest rates play a significant role in shaping the Traditional Retail Banking market in Moldova. Economic stability and growth impact customer confidence, spending behavior, and overall demand for banking products and services. Traditional retail banks in Moldova closely monitor these macroeconomic indicators to adjust their strategies and offerings accordingly to remain competitive in the market.

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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