Traditional Commercial Banking - Norway

  • Norway
  • In Norway, the Traditional Commercial Banking market market is poised to achieve a Net Interest Income of US$4.66bn in 2024.
  • It is anticipated that there will be a yearly growth rate of 8.69% (CAGR 2024-2029), leading to a market volume of US$7.07bn by 2029.
  • When compared on a global scale, the highest Net Interest Income is projected to be generated China, amounting to US$1,444.0bn in 2024.
  • Norway's traditional commercial banking sector is experiencing a shift towards digitalization and online banking services.

Key regions: China, France, Brazil, Singapore, India

 
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Analyst Opinion

The Traditional Commercial Banking market in Norway is experiencing a shift in customer preferences, trends, and local special circumstances that are shaping its development.

Customer preferences:
Customers in the Traditional Commercial Banking market in Norway are increasingly seeking digital solutions and convenient banking services. The demand for online banking, mobile applications, and efficient customer service is driving banks to invest in technology to meet these preferences. Additionally, customers are placing a higher emphasis on sustainability and ethical banking practices, influencing banks to incorporate ESG (Environmental, Social, and Governance) criteria into their operations.

Trends in the market:
One prominent trend in the Traditional Commercial Banking market in Norway is the consolidation of smaller banks. As larger banks continue to expand their market share, smaller banks are merging to remain competitive and enhance their service offerings. Another trend is the growing popularity of digital-only banks, which are challenging traditional banks with innovative solutions and lower fees. This trend is pushing traditional banks to digitize their services and improve their online presence to retain customers.

Local special circumstances:
Norway's unique market dynamics, such as a small population dispersed across a large geographic area and a strong emphasis on sustainability, are influencing the Traditional Commercial Banking sector. The country's focus on renewable energy and environmentally friendly practices is prompting banks to align their operations with these values. Moreover, the high level of digital literacy among the population is driving the adoption of online banking services and encouraging banks to invest in digital transformation.

Underlying macroeconomic factors:
The development of the Traditional Commercial Banking market in Norway is also influenced by macroeconomic factors such as interest rates, regulatory environment, and economic stability. Low interest rates set by the central bank are affecting banks' profitability and lending practices. Additionally, stringent regulations aimed at ensuring financial stability and consumer protection are shaping the way banks operate in the market. The overall economic stability of Norway plays a crucial role in determining the growth and performance of the Traditional Commercial Banking sector.

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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