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.

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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
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article

From Algorithms to Advice: Exploring The Evolution and The Future of Robo-Advisory in India

Ritesh Khatwani, Pratha Jhala, Keren Kirit Khambhata, Ms. Ananya Mistry et al.
International Journal of Accounting and Economics Studies
FinTech, Crowdfunding, Digital Finance
article

From Algorithms to Advice: Exploring The Evolution and The Future of Robo-Advisory in India

Ritesh Khatwani, Pratha Jhala, Keren Kirit Khambhata, Ms. Ananya Mistry, Ms. Yomika Khurana
article en

Abstract

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.

International Journal of Accounting and Economics StudiesVol. 12(7)
Veer Narmad South Gujarat University (IN), Fountain University (NG), Symbiosis International University (IN), Auro University (IN)
Openalex Percentile: Top 47%
FinTech, Crowdfunding, Digital Finance
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From Algorithms to Advice: Exploring The Evolution and The Future of Robo-Advisory in India — Ritesh Khatwani, Pratha Jhala, et al. · International Journal of Accounting and Economics Studies (2025) | TGRS Research Map | TGRS