Banking - Germany

  • Germany
  • In 2024, Net Interest Income in the Banking market in Germany is expected to reach US$211.20bn.
  • Traditional Banks are projected to dominate the market with a market volume of US$147.10bn in 2024.
  • The Net Interest Income is anticipated to grow at an annual rate of 5.36% from 2024 to 2029 (CAGR 2024-2029), resulting in a market volume of US$274.20bn by 2029.
  • When compared globally, China is projected to generate the highest Net Interest Income of US$4,332.0bn in 2024.
  • Germany's banking market is embracing digitalization, with traditional banks investing in fintech partnerships to stay competitive.

Key regions: United States, China, Japan, Brazil, United Kingdom

Region comparison

Analyst Opinion

The Banking market in Germany has been experiencing significant developments in recent years, driven by various factors influencing customer preferences, market trends, and local special circumstances.

Customer preferences:
Customers in the German banking market have shown a growing inclination towards digital banking solutions, preferring the convenience and accessibility offered by online and mobile banking services. This shift in preferences has led to an increased demand for innovative fintech products and services, prompting traditional banks to enhance their digital offerings to remain competitive in the market.

Trends in the market:
One prominent trend in the German banking market is the increasing focus on sustainability and ethical banking practices. German consumers are placing greater importance on environmental and social responsibility, leading to the rise of sustainable banking options and green investment products. This trend reflects a broader global movement towards sustainable finance and aligns with Germany's strong commitment to environmental protection.

Local special circumstances:
Germany's banking sector is characterized by a large number of regional cooperative banks, known as Volksbanken and Raiffeisenbanken, which play a significant role in serving local communities and small businesses. These cooperative banks operate based on the principle of self-help and mutual support, fostering a sense of trust and loyalty among their members. The presence of these local banks contributes to the diversity of the banking market in Germany and provides customers with a wide range of choices in financial services.

Underlying macroeconomic factors:
The development of the banking market in Germany is also influenced by macroeconomic factors such as low interest rates, regulatory changes, and economic stability. The European Central Bank's monetary policy, including low or negative interest rates, has posed challenges for traditional banks' profitability, prompting them to explore new revenue streams and cost-cutting measures. Regulatory reforms aimed at enhancing consumer protection and increasing transparency have also impacted the way banks operate in Germany, requiring them to adapt to changing compliance requirements. Overall, the stability of the German economy and its position as a key player in the European Union contribute to the resilience and competitiveness of the banking sector in the country.


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.


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.


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