Market Insights Digital FinTech Digital Investment

Neobrokers - Thailand

Thailand

The [currentlayername] thailand is projected to generate a revenue of [revenueyeartoday] in 2024.
This revenue is expected to exhibit an annual growth rate (cagr 2024-2028) of 2.75%, resulting in a projected total amount of US$49.44m by 2028.
The average revenue per user in the [currentlayername] is estimated to be US$8.76 in 2024.
When comparing the [currentlayername] globally, it is evident that the United States achieves the highest revenue, reaching US$3,066,000.00k in 2024.
In terms of assets under management, the [currentlayername] thailand is projected to reach [revenueyeartoday_aum] in 2024.
This figure is anticipated to grow at an annual rate of [revenue_currentlayer_yeartotal_cagr_aum] (cagr 2024-2028), resulting in a projected total amount of [revenue_currentlayer_yearend_aum] by 2028.
The average assets under management per user in the [currentlayername] is expected to be [arpu_currentlayer_yeartoday_aum] in 2024.
Similar to revenue, the United States also leads in terms of assets under management, with a value of [globalrevenueaum_currentlayer_yeartoday_maxcountryvalue_aum] in 2024.
In the [currentlayername] thailand, the number of users is expected to reach 5.33m users by 2028.
The user penetration rate is projected to be 7.20% in 2024 and is expected to increase to 7.58% by 2028.
Thailand's neobroker market is experiencing rapid growth, driven by increasing demand for user-friendly and accessible investment platforms.

Key regions: Germany, South Korea, United Kingdom, France, Brazil

Market

Region

Region comparison

Currency

Analyst Opinion

Neobrokers are disrupting the traditional brokerage industry by offering low-cost and user-friendly digital platforms for buying and selling securities. One current trend in the neobroker market is the rise of commission-free trading, which has become a popular feature among investors seeking to save money on fees. Another trend is the emergence of social trading platforms that allow investors to follow and copy the trades of other successful traders. Additionally, many neobrokers are expanding their offerings beyond stocks and ETFs to include fractional shares, and robo-advisory services.
The growth in the neobroker market is being driven by several factors. One key factor is the increasing popularity of digital investing among younger generations who are comfortable with technology and prefer self-directed investing. Another factor is the lower costs and fees associated with neobrokers compared to traditional brokerage firms. Additionally, the COVID-19 pandemic has accelerated the shift towards online investing, as many people have been forced to work from home and have more time to research and manage their investments.
The neobroker market is expected to continue its growth trajectory in the coming years. Increasing demand for low-cost investment services, rising internet penetration, and growing interest in stock trading among millennials are key drivers of market growth.

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.