Key regions: China, United Kingdom, Brazil, Israel, India
The CrowdLending (Business) market in United Kingdom has experienced significant growth and development in recent years.
Customer preferences: Businesses in the United Kingdom are increasingly turning to crowd lending as a viable alternative to traditional financing options. This is due to several factors, including the ease and convenience of accessing funds through online platforms, the ability to secure competitive interest rates, and the flexibility offered by crowd lending in terms of loan amounts and repayment terms. Additionally, businesses appreciate the transparency and speed of the crowd lending process, as well as the opportunity to connect with a diverse pool of investors.
Trends in the market: One of the key trends in the CrowdLending (Business) market in the United Kingdom is the rise of peer-to-peer lending platforms. These online platforms connect businesses in need of funding with individual investors looking to lend money. This trend has been driven by advancements in technology, which have made it easier for businesses and investors to connect and transact. Furthermore, the regulatory environment in the United Kingdom has been supportive of peer-to-peer lending, which has contributed to its growth. Another trend in the market is the increasing participation of institutional investors in crowd lending. As the market has matured, institutional investors such as banks and asset management firms have recognized the potential of crowd lending as an asset class. This has led to the development of specialized funds and investment vehicles that focus on crowd lending, providing businesses with access to larger amounts of capital.
Local special circumstances: The United Kingdom has a well-developed financial services sector, which has facilitated the growth of the crowd lending market. The presence of established banks and financial institutions has helped to build trust and credibility in the market, attracting both borrowers and investors. Additionally, the supportive regulatory framework in the United Kingdom has created a favorable environment for crowd lending to thrive.
Underlying macroeconomic factors: The development of the CrowdLending (Business) market in the United Kingdom can be attributed to several underlying macroeconomic factors. Firstly, the low interest rate environment in recent years has made crowd lending an attractive option for businesses seeking affordable financing. Secondly, the economic uncertainty surrounding Brexit has led to a tightening of credit conditions, making it more difficult for businesses to access traditional forms of financing. Crowd lending has emerged as a viable alternative for businesses in this challenging economic environment. Finally, the growth of the gig economy and the rise of small and medium-sized enterprises (SMEs) have created a strong demand for flexible and accessible financing options, which crowd lending is well-positioned to provide.
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.
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