Crowdinvesting - Lithuania

  • Lithuania
  • Lithuania is projected to reach a total transaction value of US$0.5m in the Crowdinvesting market by 2024.
  • When comparing globally, it is evident that the United Kingdom leads with a transaction value of US$608m in 2024.
  • Lithuania's crowdinvesting market is experiencing a surge in tech startups seeking capital from a diverse pool of local and international investors.

Key regions: Europe, Australia, Brazil, China, Israel

 
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Analyst Opinion

The Crowdinvesting market in Lithuania has been experiencing significant growth in recent years, driven by customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Lithuanian investors have shown a growing interest in crowdinvesting as an alternative investment option. This is due to several factors, including the potential for higher returns compared to traditional investment options, the ability to diversify their investment portfolios, and the opportunity to support local businesses and startups.

Trends in the market:
One of the key trends in the crowdinvesting market in Lithuania is the emergence of platforms that focus on specific sectors, such as technology, renewable energy, and real estate. These specialized platforms cater to the preferences of investors who are looking to invest in specific industries or sectors that align with their interests or expertise. Another trend in the market is the increasing popularity of equity-based crowdinvesting, where investors receive shares in the company they invest in. This type of crowdinvesting allows investors to participate in the growth and success of the company, potentially leading to higher returns on their investments.

Local special circumstances:
Lithuania has a vibrant startup ecosystem, with a number of successful startups emerging in recent years. This has created a favorable environment for crowdinvesting, as investors are eager to support and invest in these promising startups. The government has also implemented policies to support entrepreneurship and innovation, further contributing to the growth of the crowdinvesting market.

Underlying macroeconomic factors:
Lithuania has experienced steady economic growth in recent years, with a stable political environment and a favorable business climate. This has attracted foreign investors and entrepreneurs to the country, resulting in increased investment opportunities and a growing demand for crowdinvesting. Additionally, low interest rates and a lack of alternative investment options have also contributed to the growth of the crowdinvesting market in Lithuania. In conclusion, the crowdinvesting market in Lithuania has been growing rapidly due to customer preferences for alternative investments, emerging trends in the market, favorable local circumstances, and positive macroeconomic factors. As the market continues to evolve, it is likely that we will see further innovation and expansion in the crowdinvesting sector in Lithuania.

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.

Overview

  • Capital Raised
  • Average Deal Size
  • Global Comparison
  • Number of Deals
  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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