ISSN (O): 2581-9453 Indexed in Manupatra, Google Scholar & ROAD Est. 2019 VidhiAagaz Group
Home / Volume 3, Issue 3 / Big Data: Competition Concerns in a Digital Economy Open access · CC BY-NC 4.0
Research Paper Volume 3 Issue 3 933 - 940 June 20, 2021

Big Data: Competition Concerns in a Digital Economy

Lead author · Corresponding
Linzy Sharan
Student at Lords Universal College of Law, University of Mumbai, India
Abstract

In the competition law, the ownership and use of large amounts of data acquired online from customers (big data) is a particularly hot topic. One crucial question is whether businesses' access to and use of big data can grant them market power and a competitive advantage over their competitors. In India, innovation and technology-driven businesses like e-commerce, ride-hailing apps, online wallets, and others have been rapidly increasing and experiencing a steady increase in M&A activity, exposing them to potential competition law risks. Data-driven mergers must be scrutinised more closely in today's world when access to customer data may make or break a market player. Data concentration in the hands of a single market player may be devastating for the competitiveness in the relevant market. Jurists across the world have diverse viewpoints on how to successfully solve this problem, and some competition commissions have taken a variety of approaches to handle the challenges provided by the dynamic digital market. There is a need to examine all the varied viewpoints and activities in order to determine what is best for India's completion policy. This paper attempts to analyse the development of big data in the digital market, and how can big data gain a competitive advantage, subsequently with a study about the lacunas in the present merger criteria.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 3, Issue 3, Page 933 - 940
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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