Neobanking - Caribbean | Statista Market Forecast

Transaction value in the Neobanking market is projected to reach 0.00 in 2024.
Transaction value is expected to show an annual growth rate (CAGR 2024-0) of 0.0 resulting in a projected total amount of 0.00 by 0.
The average transaction value per user in the Neobanking market amounts to 0.00 in 2024.
From a global comparison perspective it is shown that the highest transaction value is reached 0.0 (0.0 in 2024).
In the Neobanking market, the number of users is expected to amount to 0.00users by 0.
User penetration will be 0.00% in 2024 and is expected to hit 0.00% by 0.

Definition:

A neobank is a type of challenger bank that operates solely digitally. Neobanks are newly established banks that do not belong to large conventional banks. They do not have any physical branches and can provide their services both via mobile or desktop devices. They require their clients to go through a digital onboarding process, most frequently via smartphone. Neobanks can be of two types: those which have a banking license and those that do not.

Additional Information:

The most popular neobanks include Revolut, Chime, Nubank, N26, and Monzo.

Banks that only provide digital services
Banks that require digital onboarding (mostly via a smartphone)
Companies that have a banking license
Companies that do not have a banking license
Companies that have e-money licence
Neobanks that provide either mobile or desktop services

Conventional banks that offer online banking services
Tech companies that integrate online payment services into their apps (e.g., WeChat)
Online banks that were established by conventional banks
Banks that have physical branches to serve their clients
Banks that require a personal visit to open an account
Micro-investment apps
Money management apps
Peer-to-peer lenders

The Neobanking market continues to grow and expand globally. One current trend in the market is the increased adoption of digital banking solutions, including mobile banking and online account opening. Another trend is the expansion of Neobanks into new markets, such as SME lending and investment services, and partnerships with traditional financial institutions to offer white-label banking services.
The growth of the Neobanking market can be attributed to several factors, including the increasing demand for convenient and accessible banking services, the rise of digital technology and the internet, and changing consumer behavior and preferences. Additionally, the lower costs and greater flexibility offered by Neobanks compared to traditional banks have also contributed to their popularity.
The neobanking market is expected to continue its growth trend in the coming years. Factors such as increasing smartphone penetration, rising demand for digital banking services, and the continued development of fintech infrastructure are expected to contribute to this growth. Additionally, neobanks are increasingly partnering with traditional banks and financial institutions, which is expected to help drive adoption of neobanking services.

Data coverage:

The data encompasses B2C enterprises. Figures are based on transaction values / revenues / assets under management and user data of relevant services and products offered within the FinTech market.

Modeling approach / Market size:

Market sizes are determined through a combined top-down and bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of key players, industry reports, third-party reports, publicly available databases, and survey results from primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending, population, internet penetration, smartphone penetration, credit card penetration, and online banking penetration. This data helps us 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 relevant market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war is considered at a country-specific level.

This report presents a comprehensive analysis and additional information on the Digital market, in a PDF format.