Market Insights Financial Capital Raising Digital Capital Raising

CrowdLending (Business) - Guatemala

Guatemala

The total transaction value in the Crowdlending (Business) market market in Guatemala is expected to reach US$60.1k in 2024.
When compared globally, it is evident that China leads with a transaction value of US$15,970m in 2024.
Guatemala's CrowdLending market in Capital Raising is gaining traction among local entrepreneurs seeking alternative funding sources for business expansion.

Key regions: China, United Kingdom, Brazil, Israel, India

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Analyst Opinion

The CrowdLending (Business) market in Guatemala is experiencing significant growth and development.

Customer preferences: Guatemalan businesses are increasingly turning to CrowdLending as a source of funding due to its convenience and accessibility. The online platform allows businesses to easily connect with a large pool of potential lenders, eliminating the need for traditional financial intermediaries. Additionally, CrowdLending offers businesses more flexibility in terms of loan amounts and repayment terms, which appeals to a wide range of borrowers.

Trends in the market: One of the key trends in the CrowdLending market in Guatemala is the rising popularity of peer-to-peer lending platforms. These platforms connect individual lenders directly with borrowers, cutting out the middleman and reducing costs for both parties. This trend is driven by the growing trust in online lending platforms and the desire for more personalized lending experiences. Another trend in the market is the emergence of specialized CrowdLending platforms that cater specifically to businesses in certain industries. These platforms understand the unique needs and challenges of businesses in these industries, and offer tailored loan products and services. This trend reflects the increasing diversification and sophistication of the CrowdLending market in Guatemala.

Local special circumstances: Guatemala has a large number of small and medium-sized enterprises (SMEs) that often struggle to access traditional financing options. CrowdLending provides these businesses with an alternative source of funding, allowing them to grow and expand their operations. The high demand for financing among SMEs in Guatemala is a key driver of the growth of the CrowdLending market in the country.

Underlying macroeconomic factors: The stable economic growth in Guatemala is creating a favorable environment for the development of the CrowdLending market. As the economy continues to grow, businesses are seeking additional funding to support their expansion plans. CrowdLending offers a viable solution for these businesses, providing them with the capital they need to invest in new projects and increase their competitiveness. Furthermore, the increasing adoption of digital technologies in Guatemala is also contributing to the growth of the CrowdLending market. The widespread use of smartphones and internet access has made it easier for businesses to connect with potential lenders online. This digital transformation has opened up new opportunities for businesses to access financing, further driving the growth of the CrowdLending market in Guatemala.

Methodology

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.