Traditional Retail Banking - Guatemala

  • Guatemala
  • In Guatemala, the Traditional Retail Banking market market is expected to witness a significant increase in Net Interest Income, reaching US$7.37bn by 2024.
  • This projection indicates a promising future for the banking sector in the country.
  • Furthermore, the Net Interest Income is projected to grow at an annual growth rate of 4.67% from 2024 to 2029, resulting in a market volume of US$9.26bn by the end of the period.
  • It is worth noting that when comparing the global market, China is set to generate the highest Net Interest Income, with a projected value of US$2,426.0bn in 2024.
  • This showcases the dominance of the United States in the retail banking sector on a global scale.
  • Guatemala's traditional retail banking market is experiencing a shift towards digital banking services, as customers seek convenience and accessibility.

Key regions: France, Brazil, Germany, United Kingdom, United States

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

Guatemala's Traditional Retail Banking market is experiencing significant growth and transformation, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences:
Customers in Guatemala are increasingly seeking convenient and accessible banking services, leading to a rise in demand for traditional retail banking products. They value personalized services, competitive interest rates, and a wide range of financial products to meet their diverse needs. As the population becomes more tech-savvy, there is also a growing preference for digital banking solutions that offer flexibility and convenience.

Trends in the market:
One notable trend in the Guatemalan Traditional Retail Banking market is the expansion of branch networks to reach underserved rural areas. Banks are focusing on increasing their physical presence to cater to a wider customer base and build trust within local communities. Additionally, there is a growing trend towards sustainable banking practices, with an emphasis on environmental and social responsibility in the financial sector.

Local special circumstances:
Guatemala's Traditional Retail Banking market is unique due to its diverse population and cultural factors that influence banking preferences. The market is characterized by a large informal economy, prompting banks to develop innovative strategies to attract unbanked individuals and small businesses. Moreover, the country's geographical landscape poses challenges in terms of infrastructure development, leading banks to adopt mobile banking solutions to reach remote areas effectively.

Underlying macroeconomic factors:
The growth of Guatemala's Traditional Retail Banking market is closely tied to macroeconomic stability and regulatory reforms. Favorable economic conditions, such as steady GDP growth and low inflation rates, have boosted consumer confidence and encouraged investment in the banking sector. Furthermore, government initiatives to enhance financial inclusion and promote competition have created a conducive environment for market expansion and innovation.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Kisara Mizuno
Kisara Mizuno
Senior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)