Crowdlending (Business) - Kenya | Statista Market Forecast

Transaction value in the Crowdlending (Business) market is projected to reach US$5.84m in 2024.
Transaction value is expected to show an annual growth rate (CAGR 2024-2028) of 6.97% resulting in a projected total amount of US$7.64m by 2028.
The average funding per campaign in the Crowdlending (Business) market amounts to US$3.59k in 2024.
From a global comparison perspective it is shown that the highest transaction value is reached China (US$15.97bn in 2024).

Definition:

Crowdlending platforms, otherwise know as lending-based Crowdfunding enable small and medium-sized enterprises to get loans from single or multiple, private and institutional investors via an online brokering platform. On credit platforms such as Funding Circle, OnDeck, Kabbage and Lending Club, businesses can obtain small loans up to a set maximum value. As a rule, financing requests are analyzed by the provider via an internal scoring system and are checked against additional minimum requirements such as turnover. Subsequently, these financing requests can be invested in by private and institutional investors at an appropriate interest rate determined by the credit rating of the company. This makes it possible for SMEs to borrow quickly and easily, as the basic requirements for obtaining finance are more flexible compared to traditional bank loans.

Alternative financing for SMEs and freelancers (bank-independent loans)
Small business loans issued by single or multiple private and institutional investors (non-banks)
Online loan request, scoring and approval

Traditional bank loans
Consumer loans and credit card transactions
Business-to-Business credit scoring and rating services
Online marketplaces for consumer loans (see Marketplace Lending)

Crowdlending, also known as peer-to-peer lending, has seen a growing trend in recent years, particularly for small and medium-sized businesses. One current trend in this market is the emergence of specialized platforms that focus solely on business lending, providing customized loans with competitive interest rates. Another trend is the use of data analytics and AI to evaluate creditworthiness and assess risk, enabling faster and more accurate decision-making.
The growth of the crowdlending market is driven by several factors, including the increasing demand for alternative financing options, the ease of access to funds for small businesses, and the low interest rates offered by peer-to-peer lending platforms. Additionally, the growing awareness and acceptance of these platforms among investors, coupled with the ability to diversify investment portfolios, have contributed to the expansion of the market.
Looking ahead, the crowd lending market is expected to continue to grow, driven by the rise of digitalization and the increasing adoption of fintech solutions. The market is also likely to see an expansion in the range of loan products and services offered, including innovative financing options such as revenue-based financing and revenue sharing models. However, regulatory challenges and increasing competition in the market may also pose challenges for the growth of the industry.

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.