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WEALTHTECH: FUTURE TRENDS AND APPROACHES IN GLOBAL WEALTH MANAGEMENT

Bojana Jokanović, Andrea Okanović, Sandra Brkanlić, Slavko Ivković, Ivana Tomić

Year
2025
Citations
1
Access
Open access

Abstract

The paper aims to research the latest technologies for Wealth Management and use them to present the WealtTech approaches that give the best advice for investment management decisions and refer to the use of technology to provide financial services and solutions for Wealth Management. Wealth Management is a combination of financial planning and investment strategy analysis for capital growth. It includes retirement planning, inheritance tax, estate planning, and other activities according to investment preferences. Since WealthTech is a part of FinTech, it aims to manage investment funds and assets more efficiently, accessible, and personalized through data-driven insights and smart automation. Besides improving their efficiency, WealthTech aims to automate investment and wealth management services. WealthTech utilizes innovations like blockchain, artificial intelligence, and machine learning to improve investment decisions combining technologies for fund transformation and asset handling. These technologies include a wide range of solutions and include robo-advisors, social trading, robot-retirement, quant advisors, and micro-investing. WealthTech refers to the delivery of many kinds of financial services for Wealth Management based on digital solutions. Besides improving investors’ decision-making, the technology enables people to manage their finances efficiently. This approach use the best technology solutions more advanced than typical analysis used in financial institutions. Because of the advancements in software as a service (SaaS), big data, AI and machine learning, the programs provide personalized advice concerning wealth management and business strategies. This manuscript will present WealthTech solutions on the practical example and recommend the most attractive investment opportunities on the global market.

Keywords

Computer scienceData scienceBusiness

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