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CrowdLending (Business) - Poland

Poland

The projected total transaction value in the Crowdlending (Business) market market in Poland is expected to reach US$27.47m by 2024.
When comparing globally, it is evident that China leads with the highest transaction value, reaching US$15,970m in 2024.
In Poland, CrowdLending platforms are gaining traction as an alternative capital-raising avenue for small and medium-sized businesses.

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

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Analyst Opinion

The CrowdLending (Business) market in Poland has been experiencing significant growth in recent years, driven by several key factors.

Customer preferences: Polish businesses have shown a growing preference for CrowdLending as a source of financing. This is primarily due to the ease and convenience of accessing funds through online platforms, as well as the competitive interest rates offered by lenders. Additionally, many businesses in Poland have found it difficult to secure traditional bank loans, making CrowdLending an attractive alternative.

Trends in the market: One of the key trends in the CrowdLending market in Poland is the increasing number of platforms offering business loans. This has created a highly competitive landscape, with lenders vying for borrowers' attention by offering lower interest rates and more flexible repayment terms. As a result, businesses in Poland have more options when it comes to choosing a CrowdLending platform that best suits their needs. Another trend in the market is the rise of peer-to-peer (P2P) lending platforms. These platforms connect individual lenders with borrowers, eliminating the need for traditional financial intermediaries. P2P lending has gained popularity in Poland due to its ability to offer lower interest rates and faster loan approval processes.

Local special circumstances: Poland has a strong entrepreneurial culture, with a large number of small and medium-sized enterprises (SMEs) operating in the country. These businesses often face challenges when it comes to accessing financing from traditional sources, such as banks. CrowdLending platforms have been able to fill this financing gap by providing easier access to capital for SMEs.

Underlying macroeconomic factors: The growth of the CrowdLending market in Poland is also influenced by macroeconomic factors. The country has experienced steady economic growth in recent years, which has led to an increase in business activity and a greater demand for financing. Additionally, low interest rates in Poland have made borrowing more affordable for businesses, further driving the demand for CrowdLending. In conclusion, the CrowdLending (Business) market in Poland is developing rapidly due to customer preferences for online financing options, the increasing number of platforms offering business loans, and the rise of P2P lending. Additionally, the country's strong entrepreneurial culture and favorable macroeconomic conditions have contributed to the growth of the market.

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.