Traditional Commercial Banking - Papua New Guinea

  • Papua New Guinea
  • In Papua New Guinea, the Traditional Commercial Banking market market is expected to witness a significant increase in Net Interest Income, reaching US$238.20m by 2024.
  • This projection indicates a positive growth trend in the coming years.
  • Furthermore, the market is anticipated to maintain an annual growth rate of -1.86% between 2024 and 2029, resulting in a market volume of US$216.90m by the end of 2029.
  • On a global scale, in China will continue to dominate the Net Interest Income market, generating a substantial amount of US$1,444.0bn in 2024.
  • This highlights in China's strong presence and significant contribution to the global market.
  • Despite the challenges of limited access to technology and infrastructure, traditional commercial banking in Papua New Guinea continues to play a vital role in driving economic growth and financial inclusion.

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

 
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Analyst Opinion

The Traditional Commercial Banking market in Papua New Guinea is experiencing notable shifts and developments in response to various factors influencing the industry.

Customer preferences:
Customers in Papua New Guinea are increasingly seeking convenient and accessible banking services, prompting traditional commercial banks to expand their digital offerings. This shift is driven by the growing demand for online and mobile banking solutions that provide flexibility and ease of access to financial services.

Trends in the market:
One significant trend in the Traditional Commercial Banking market in Papua New Guinea is the emphasis on financial inclusion. Traditional banks are working towards expanding their reach to unbanked populations in rural areas through innovative strategies such as agent banking and mobile money services. This trend is in line with global efforts to promote financial inclusion and improve access to banking services for all segments of the population.

Local special circumstances:
Papua New Guinea's unique geographical landscape, with its remote and dispersed population, presents challenges for traditional commercial banks in terms of establishing physical branches in every region. As a result, banks are increasingly turning to technology to bridge this gap and reach customers in even the most remote areas. Additionally, the country's diverse cultural landscape requires banks to tailor their services to meet the specific needs and preferences of different communities.

Underlying macroeconomic factors:
The economic landscape in Papua New Guinea, characterized by factors such as population growth, urbanization, and increasing disposable income, is driving the growth of the Traditional Commercial Banking market. As more people move to urban centers and experience rising incomes, the demand for banking services is on the rise. This economic growth presents opportunities for traditional banks to expand their customer base and offer a wider range of financial products and services to meet evolving needs.

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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