Market Insights Financial Banking Traditional Banks

Traditional Retail Banking - Hungary

Hungary

In Hungary, the Traditional Retail Banking market market is expected to witness a significant increase in Net Interest Income, reaching US$3.71bn in 2024.
This growth is projected to continue with an annual growth rate (CAGR 2024-2029) of 3.42%, leading to a market volume of US$4.39bn by 2029.
It is worth noting that in comparison to other countries, China is anticipated to generate the highest Net Interest Income in 2024, amounting to US$2,426.0bn.
In Hungary, traditional retail banking is experiencing a decline in popularity as customers increasingly opt for digital banking solutions.

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

Definition:
Traditional retail banking refers to the financial services sector that provides a range of financial products and services to individual consumers through store-based branches and other traditional channels. These services include personal loans, savings and checking accounts, credit cards, mortgages, and other financial products designed specifically for individual consumers.
Traditional retail banks have a long history of serving customers and have established relationships and a deep understanding of the financial needs of their communities. They offer a wide range of services and are able to provide personalized advice and support to their customers.
Despite facing increased competition and changing customer preferences, traditional retail banks continue to play a vital role in the financial landscape. They are continually seeking ways to improve their offerings and remain competitive by leveraging technology and offering innovative financial products and services.
Overall, traditional retail banking provides a wide range of financial services to individual consumers through established, trusted channels and continues to be an important part of the financial landscape.

Structure:
The market data comprises Net Interest Income, the value of Deposits, the value of Loans, Credit Card Interest Income, the number of ATMs as well as the number of Bank Branches.

Additional information:
The Banking market is highly competitive and characterized by the presence of large global players as well as regional and local banks. Banks are continually seeking ways to improve their offerings and remain competitive by leveraging technology and offering innovative financial products and services. Additionally, changes in regulations and the growing trend toward digitalization are shaping the retail and commercial banking market, creating opportunities for new entrants, and forcing existing players to adapt.

Key players in this market are companies such as Industrial and Commercial Bank of China Ltd., Bank of America Corp., and BNP Paribas.

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Analyst Opinion

One of the key trends shaping the global retail banking market is the shift toward digital channels. With the proliferation of smartphones and other digital devices, consumers are increasingly turning to online and mobile banking platforms for their financial needs. This trend is expected to continue in the coming years, as banks invest in digital technologies to improve customer experience and reduce costs.

Another trend is the growing focus on customer experience. With the rise of digital channels, consumers have come to expect personalized and convenient banking services. As a result, banks are investing in new technologies such as artificial intelligence and machine learning to improve the customer experience. For example, chatbots and virtual assistants can provide customers with instant support and assistance, while personalized recommendations and offers can help banks build stronger relationships with their customers.

The global retail banking market is also characterized by intense competition, with established banks facing increasing competition from fintech startups and other new entrants. These players are leveraging digital technologies to offer innovative and disruptive products and services, such as digital-only banks and mobile payment platforms. As a result, traditional banks are investing in digital transformation initiatives to stay competitive and retain their market share.

Also, the market is affected by regulatory and compliance issues. Banks are subject to a range of regulations, including anti-money laundering (AML) and know your customer (KYC) regulations, which can be complex and costly to comply with. In addition, banks must also comply with data protection and privacy regulations, such as the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

Additionally, the peak of inflation in 2022 affected the market. For more details about the impacts of inflation on the financial industry read more here.

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. The scenario analysis is based on a Monte Carlo simulation approach generating a range of possible outcomes by creating random variations in forecasted data points, based on assumptions about potential fluctuations in future values. By running numerous simulated scenarios, the model provides an estimated distribution of results, allowing for an analysis of likely ranges and confidence intervals around the forecast.

Additional Notes:

The market is updated twice per year in case market dynamics change.