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Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
Key regions: Singapore, Germany, United Kingdom, South Korea, China
One of the primary reasons for the growth of digital banks/neobanks is the increasing adoption of digital technologies and the changing preferences of customers, especially millennials and Gen Z, who are more likely to use digital channels for their financial transactions. Modern digital banks have been able to capitalize on this trend by offering simple and convenient mobile and online banking services that cater to the needs of tech-savvy consumers.
Another factor driving the growth of digital banks is the lower cost structure compared to traditional banks. Neobanks/ digital banks have lower overhead costs as they do not operate physical branches, which allows them to offer competitive rates and fees to their customers. They also have faster and more efficient processes, which helps reduce operational costs and enables them to offer faster and more personalized services.
The digital banks industry is highly competitive, with many players competing for market share. Some of the leading digital banks include Chime, Revolut, N26, Monzo, and Varo Bank, among others. These digital banks have gained popularity due to their innovative offerings, such as budgeting and savings tools, cashback rewards, and other incentives, which have helped them attract a large customer base.
While digital banks have been successful in attracting customers, they still face several challenges. One of the primary challenges is regulatory compliance, as digital banks must adhere to the same regulations as traditional banks while also complying with additional regulations specific to their digital operations. This can be a significant hurdle for digital banks, especially those operating in multiple jurisdictions.
Another challenge facing digital banks is profitability. While digital banks have lower costs, they also have lower revenue streams compared to traditional banks, as they rely on transactional fees and interest income rather than other sources of revenue such as cross-selling products or services. As a result, digital banks must find innovative ways to generate revenue, such as offering premium services or partnering with other companies to offer value-added services.
Despite these challenges, the new digital banking industry is expected to continue its growth trajectory in the coming years. With increasing consumer demand for digital banking services and the rise of fintech innovation, digital banks are well-positioned to become a significant player in the financial services industry. However, to succeed, digital banks must continue innovating, adapting to changing customer needs, and navigating regulatory challenges to ensure long-term viability.
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.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)