The Crowdinvesting market in Switzerland is experiencing significant growth and development.
Customer preferences: Swiss investors are increasingly turning to crowdinvesting as a way to diversify their investment portfolios and access new investment opportunities. The convenience and accessibility of online platforms have made it easier for investors to participate in crowdinvesting campaigns and support innovative projects. Additionally, Swiss investors are attracted to the potential for high returns offered by crowdinvesting, as well as the opportunity to support local businesses and startups.
Trends in the market: One of the key trends in the Swiss crowdinvesting market is the growing popularity of equity-based crowdinvesting. Investors are increasingly interested in owning a stake in the companies they support, rather than simply providing donations or loans. This trend is driven by the potential for high returns on equity investments, as well as the desire to have a say in the decision-making processes of the companies they invest in. Another trend in the market is the emergence of niche crowdinvesting platforms that cater to specific sectors or industries. These platforms focus on connecting investors with projects and businesses in sectors such as renewable energy, technology, and real estate. By targeting specific industries, these platforms are able to attract investors with a particular interest or expertise in those sectors, creating a more focused and engaged investor community.
Local special circumstances: Switzerland's strong economy and reputation for innovation make it an attractive market for crowdinvesting. The country has a well-developed startup ecosystem, with a high number of innovative and promising companies seeking funding. The Swiss government has also implemented supportive policies and regulations to encourage crowdinvesting, providing a favorable environment for both investors and entrepreneurs.
Underlying macroeconomic factors: The growth of the crowdinvesting market in Switzerland is also influenced by broader macroeconomic factors. The low interest rate environment in the country has made traditional investments such as savings accounts and bonds less attractive, leading investors to seek alternative investment opportunities. Additionally, the increasing popularity of crowdinvesting can be attributed to the rise of digitalization and the ease of online transactions. The widespread use of smartphones and internet access has made it easier for investors to participate in crowdinvesting campaigns and track their investments. In conclusion, the crowdinvesting market in Switzerland is experiencing significant growth and development, driven by customer preferences for diversification, high returns, and local investment opportunities. The market is characterized by the growing popularity of equity-based crowdinvesting and the emergence of niche platforms. Switzerland's strong economy, supportive policies, low interest rates, and digitalization have all contributed to the growth of the crowdinvesting market in the country.
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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