The Gig Economy in India: Growth, Challenges, and Policy Implications
The gig economy, characterized by flexible, short-term, and freelance work facilitated through digital platforms, has significantly transformed the employment landscape in India. This study provides a comprehensive overview of the dimensions, scope, driving factors, impact, and regulatory challenges of the gig economy in the Indian context. This research employs a descriptive methodology that relies on secondary data from government reports, academic journals, industry surveys, and media sources. The findings reveal substantial growth in India’s gig economy, with the number of gig workers increasing from 2.52 million in 2011-12 to 6.8 million in 2019-20, reflecting a compound annual growth rate of 16.78%. The key sectors driving this growth include mobility, delivery services, professional services, and microtasks. The gig economy offers workers flexibility, autonomy, and skill development opportunities, but also presents challenges such as job insecurity, lack of benefits, and economic vulnerability. For businesses, it provides cost-effective labour and operational flexibility while posing challenges in workforce management and retention. This study highlights significant regulatory gaps and policy challenges, emphasizing the need for comprehensive frameworks to protect worker rights, address gender inequalities, and ensure fair treatment. The absence of adequate social security measures and the precarious nature of gig work underscore the urgency of policy interventions. The future trajectory of India’s gig economy depends on balancing its growth potential with worker welfare, which requires collaborative efforts between policymakers, platforms, and stakeholders to develop inclusive policies. While the gig economy offers substantial opportunities for employment generation and economic growth in India, it requires careful regulation and policy formulation to ensure equitable and sustainable development.
Authors
- Jyotirmoy Koley
Publication Details
- Journal
- International Journal of Research and Innovation in Applied Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.51584/ijrias.2025.100800160
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28