Traditional Retail Banking - United States

  • United States
  • In the United States, the Traditional Retail Banking market market is expected to witness a significant increase in Net Interest Income.
  • By 2024, it is projected to reach a staggering €29.52bn.
  • Looking ahead, the market is anticipated to grow at an annual compound growth rate (CAGR 2024-2029) of 14.20%.
  • This growth trajectory indicates that the Net Interest Income in the Traditional Retail Banking market sector will expand to a market volume of approximately €57.35bn by 2029.
  • It is noteworthy that China will continue to dominate the global comparison, generating the highest Net Interest Income of €29.52bn in 2024.
  • As the United States embraces digital banking, traditional retail banks are adapting by offering innovative online and mobile banking services to remain competitive in the market.

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

 
Marché
 
Région
 
Comparaison de régions
 
Monnaie
 

Analyst Opinion

The Traditional Retail Banking market in United States is experiencing a shift in customer preferences and trends due to local special circumstances and underlying macroeconomic factors.

Customer preferences:
Customers in the United States are increasingly gravitating towards digital banking solutions, preferring the convenience of online and mobile banking services. This shift is driven by the desire for 24/7 access to banking services, seamless transactions, and personalized financial management tools.

Trends in the market:
One notable trend in the Traditional Retail Banking market in the United States is the rise of neobanks and fintech companies challenging traditional banks. These innovative players are disrupting the market with their user-friendly interfaces, competitive interest rates, and agile decision-making processes. As a result, traditional banks are investing heavily in digital transformation to stay competitive and meet evolving customer expectations.

Local special circumstances:
The regulatory environment in the United States plays a significant role in shaping the Traditional Retail Banking market. Compliance requirements, such as the Dodd-Frank Act and Consumer Financial Protection Bureau regulations, impact how banks operate and innovate. Additionally, the competitive landscape, with a mix of large national banks, regional banks, and community banks, influences customer choices and market dynamics.

Underlying macroeconomic factors:
The economic conditions in the United States, including interest rates, inflation, and unemployment rates, have a direct impact on the Traditional Retail Banking market. Fluctuations in these macroeconomic indicators can influence consumer spending, saving habits, and borrowing patterns, ultimately shaping the demand for banking products and services. Additionally, demographic shifts, such as the aging population and changing workforce dynamics, present both challenges and opportunities for banks to cater to diverse customer segments.

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
  • Analyst Opinion
  • Deposits
  • Loans
  • Credit Card Interest Income
  • ATMs & Bank Branches
  • Methodology
  • Key Market Indicators
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