The Digital Investment segment contains automated investment services (Robo-Advisors) and online trading services (Neobrokers). Platforms without automated or recommendation-based advisory roles are not included in the Digital Investment market segment.Digital Investment refers to the use of digital platforms and technology to facilitate the buying and selling of financial assets such as stocks and bonds. This includes online brokerages, robo-advisors, and mobile trading apps. The market for digital investment also includes the use of artificial intelligence and machine learning algorithms to assist with investment and portfolio management.
Digital Investment comprises of Robo-Advisors and Neobrokers.
The market comprises revenues, Assets Under Management (AUM), users, average revenue per user, average AUM per user, and user penetration rates.
Robo-advisors and neobrokers are two current trends in digital investment that have gained popularity in recent years. Robo-advisors are digital platforms that use algorithms and data analysis to offer personalized investment advice and portfolio management to clients, while neobrokers are online brokers that offer low-cost and easy-to-use trading platforms to investors. The growth in the digital investment market, particularly in robo-advisors and neobrokers, can be attributed to several factors. One of the primary drivers is the increasing demand for low-cost, convenient, and personalized investment services. Robo-advisors and neobrokers offer investors a more efficient and accessible way to manage their investments, without the high fees associated with traditional financial advisors or brokers. Additionally, advancements in technology, such as artificial intelligence and machine learning, have made it possible for these platforms to provide more accurate and customized investment advice to clients. The digital investment market is expected to continue its growth trajectory in the coming years. Factors contributing to this growth include the increasing adoption of digital platforms, the rise of new investment opportunities, and the continued development of technologies such as AI and blockchain. Additionally, the growing demand for sustainable and socially responsible investing is expected to fuel further growth in this market.
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.
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.
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.