Traditional Commercial Banking - Portugal

  • Portugal
  • In Portugal, the Traditional Commercial Banking market market is expected to witness a significant increase in Net Interest Income, reaching US$7.00bn in 2024.
  • This growth is projected to continue with an annual growth rate (CAGR 2024-2029) of -1.81%, leading to a market volume of US$6.39bn by 2029.
  • When compared globally, it is noteworthy that China will generate the highest Net Interest Income, amounting to US$1,444.0bn in 2024.
  • Portugal's traditional commercial banking sector is experiencing a shift towards digitalization, with banks investing in advanced technology to enhance customer experience and streamline banking operations.

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

 
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Analyst Opinion

One of the key trends in the traditional commercial banking market is the shift towards digitalization. With the increasing use of technology in everyday life, businesses are demanding faster, more efficient, and more convenient banking services. This has led to the development of new digital banking products and services, such as mobile banking apps, online payment platforms, and automated accounting tools. The use of advanced analytics and artificial intelligence is also transforming the way commercial banks operate, enabling them to better manage risk, improve customer service, and identify new business opportunities.

Another trend is the growing importance of sustainability and corporate social responsibility. Businesses are increasingly concerned about their operations' environmental and social impact and seek out banking partners that share their values. Commercial banks are responding by developing sustainable finance products, such as green bonds and sustainable investment funds, and by integrating environmental, social, and governance (ESG) criteria into their lending and investment decisions.

Traditional banks face increasing competition from fintech companies and other non-bank financial institutions offering innovative products and services. These new players are leveraging technology to disrupt traditional banking models, and are often more nimble and adaptable than their established counterparts. Traditional banks are responding by investing in digital technology, partnering with fintech companies, and exploring new business models.

In terms of regional trends, the commercial banking market is experiencing significant growth in emerging markets such as Asia, Africa, and Latin America. These regions are seeing a rapid expansion of the middle class, as well as increasing demand for infrastructure investment and other commercial activities. Commercial banks are responding by expanding their presence in these markets and developing specialized products and services to meet the needs of local businesses.

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.

Overview

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