Traditional Banks - Northern Europe

  • Northern Europe
  • In 2024, the projected Net Interest Income in the Traditional Banks market market in Northern Europe is estimated to reach US$68.24bn.
  • Among the market segments, Traditional Commercial Banking is expected to dominate with a projected market volume of US$43.25bn in 2024.
  • Over the period from 2024 to 2029, the Net Interest Income is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 3.51%, leading to a market volume of US$81.08bn by 2029.
  • It is worth noting that in the global context, China is set to generate the highest Net Interest Income, projected to be US$3,869.0bn in 2024.
  • Traditional banks in Northern Europe are diversifying their services and investing heavily in digital transformation to stay competitive in the rapidly evolving banking industry.

Key regions: Germany, United Kingdom, France, Japan, China

 
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Analyst Opinion

The Traditional Banks market in Northern Europe is experiencing a shift in customer preferences, trends, and local special circumstances, driven by underlying macroeconomic factors.

Customer preferences:
Customers in Northern Europe are increasingly seeking personalized and convenient banking services. They value digital banking solutions that offer ease of access, efficiency, and security. As a result, traditional banks in the region are focusing on enhancing their online and mobile banking platforms to meet the evolving needs of tech-savvy customers.

Trends in the market:
In countries like Sweden and Denmark, there is a growing trend towards sustainable banking practices. Customers are showing a preference for banks that prioritize environmental and social responsibility in their operations. Traditional banks in these countries are responding by incorporating ESG (Environmental, Social, and Governance) criteria into their decision-making processes and offering green financial products.

Local special circumstances:
Norway, known for its high adoption of digital technologies, has seen a rise in demand for innovative banking solutions such as biometric authentication and AI-powered chatbots. Traditional banks in Norway are investing in cutting-edge technologies to provide seamless and secure banking experiences to their customers. Additionally, the competitive landscape in Finland is driving traditional banks to differentiate themselves through unique value propositions, such as personalized financial advice and tailored product offerings.

Underlying macroeconomic factors:
The low-interest-rate environment in Northern Europe is influencing the Traditional Banks market dynamics. Banks are facing pressure on their net interest margins, prompting them to explore alternative revenue streams and cost-cutting measures. Moreover, the economic uncertainty resulting from geopolitical factors and the COVID-19 pandemic is shaping customer behavior and financial decision-making in the region. Traditional banks are adapting their strategies to navigate these challenging macroeconomic conditions and maintain customer trust and loyalty.

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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