From Algorithms to Advice: Exploring The Evolution and The Future of Robo-Advisory in India
This study explores the evolution and future of robo-advisory services within India's wealth management sector. The purpose is to examine the current state, penetration potential, and regulatory landscape of these algorithm-driven financial platforms. Adopting a qualitative approach, the research gathers insights from industry experts through semi-structured interviews to address key questions about the market's drivers, challenges, and future trajectory. The results indicate that the robo-advisory segment in India possesses significant growth potential, fueled by rising smartphone usage and a tech-savvy demographic. Experts identify a hybrid model, which combines digital automation with human expertise, as the most promising future direction. The findings also suggest a trend towards mergers and acquisitions between traditional financial firms and robo-advisory startups. However, challenges such as the difficulty in providing ultra-customized advice and the need for stricter regulatory norms to prevent fraud and ensure investor protection were highlighted. The study concludes that while robo-advisors are set to expand financial inclusion and disrupt traditional wealth management in India, their sustainable growth will depend on the adoption of hybrid service models and the development of a robust regulatory framework that balances innovation with consumer safety.
Authors
- Ritesh Khatwani (ORCID: https://orcid.org/0000-0001-7044-4748)
- Pratha Jhala (ORCID: https://orcid.org/0009-0005-1238-3541)
- Keren Kirit Khambhata
- Ms. Ananya Mistry
- Ms. Yomika Khurana
Institutions
- Veer Narmad South Gujarat University (IN)
- Fountain University (NG)
- Symbiosis International University (IN)
- Auro University (IN)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-11-09
- DOI
- https://doi.org/10.14419/84xa0w33
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00