India’s gig workforce could nearly triple to 2.1 crore monthly active workers by 2030: Redseer

Redseer projects India’s gig internet workforce will rise from about 60 lakh today to 1.7-2.1 crore by 2030, led by ride-hailing and delivery. The expansion could strengthen the labour base for quick-commerce, food-delivery and home-services platforms.

— Source publishedTue, 28 Jul, 2026, 14:35 IST·First seen Tue, 28 Jul, 2026, 15:32 IST·Source NDTV Profit

What happened

Redseer Strategy Consultants · Redseer forecasts India’s gig internet workforce will nearly triple to 1.7-2.1 crore monthly active workers by 2030, led by

Key facts

  • 1.7-2.1 crore monthly active gig workers projected by 2030
  • Around 60 lakh current gig workers
  • 24-29% projected CAGR
  • Nearly 70% of annual non-farm job creation requirement
  • Around 80 lakh annual non-farm jobs required
  • Up to 2.5 times comparable monthly net earnings
  • Rs 138 average hourly gig-worker earnings versus Rs 54
  • Rs 70,000-80,000 monthly home-services earnings
  • Rs 37,000-39,000 monthly ride-hailing earnings
  • Rs 22,000-23,000 monthly delivery earnings
  • 2,250 gig workers surveyed
  • 54% were not in paid work before joining platforms
  • 70% said gig work improved future job prospects
  • 1.2-1.4 crore ride-hailing workers projected by 2030
  • 50-70 lakh delivery workers projected by 2030
  • 20,000-30,000 home-services workers projected by 2030

Why this matters

The expanding gig ecosystem makes partnerships or acquisitions in fleet management, worker benefits, training and last-mile technology increasingly strategic for platform operators.

What to watch

  • Implementation timeline and coverage rules under India’s social-security framework for gig and platform workers.
  • Monthly active worker growth versus order-volume growth at major delivery, mobility and home-services platforms.
  • Changes in rider and driver incentives, take-home earnings, acceptance rates and worker churn.
  • Expansion of quick-commerce dark stores and delivery zones into tier-2 and tier-3 cities.
  • State-level rules on platform work, EV adoption, vehicle permits and delivery-worker safety.
  • Consumer tolerance for higher delivery, surge and convenience fees.
  • Quick-commerce and food-delivery operators should secure worker supply in emerging cities before local competition raises incentive costs.
  • Retailers with delivery ambitions should evaluate hybrid models using gig fleets for peaks while retaining dedicated capacity for predictable routes.
  • Platforms should invest in worker retention tools—earnings transparency, insurance, instant payouts, EV financing and skills pathways—to reduce churn as the labour pool expands.
  • Retail brands should prepare for greater hyperlocal reach by redesigning assortments, pack sizes and promotions for sub-30-minute and same-day delivery.
  • Companies should model the pass-through effect of potential gig-worker protections on delivery fees, commissions and unit economics.