Gig workers earn 2.5x more per hour than comparable jobs: Redseer

Redseer estimates delivery, ride-hailing and home-services workers earn average net pay of ₹138 an hour, versus ₹54 in comparable formal and informal roles. The firm says gig work could address nearly 70% of India’s employment gap by 2030.

— Source publishedFri, 4 Sept, 2026, 22:54 IST·First seen Fri, 4 Sept, 2026, 22:58 IST·Source Mint · Money

What happened

Redseer Strategy Consultants · Redseer says Indian delivery, ride-hailing and home-services gig workers earn about ₹138 per hour, 2.5 times comparable jobs. The

Key facts

  • ₹138 average net earnings per hour for gig workers
  • ₹54 per hour in comparable formal and informal jobs
  • 2.5x higher gig-worker earnings
  • More than 90% of monthly active gig workers participate part-time
  • Gig work could bridge nearly 70% of India's employment gap by 2030
  • Example: ₹15,000 primary monthly income plus ₹6,000 from weekend ride-hailing
  • Around 70% of surveyed workers said gig experience improved future earning opportunities
  • ~20 million livelihoods referenced in report title

Why this matters

The expanding gig labour pool strengthens the strategic case for partnerships or acquisitions in workforce management, logistics enablement and on-demand service platforms.

What to watch

  • Monthly active delivery-partner growth, hours worked per partner and peak-hour order rejection rates across major Indian cities.
  • Changes in per-order incentives, partner churn, payout settlement times and reported net hourly earnings after fuel, vehicle and waiting costs.
  • State or central rules on gig-worker social security, accident insurance, minimum pay, platform levies and worker classification.
  • Delivery fee inflation, free-delivery threshold changes and consumer conversion sensitivity to express-delivery charges.
  • Order-density trends, average basket value and share of quick-commerce versus scheduled omnichannel fulfillment.
  • Expansion of electric two-wheelers, battery-swapping access and fuel-price movements, which materially alter partner net earnings and platform cost per drop.
  • Build dynamic labor-demand forecasting around meal times, weekends, payday periods, weather and local festivals to convert part-time capacity into reliable delivery coverage.
  • Prioritize micro-fulfillment, store-pick and dark-store placement in zones where order density can absorb gig-delivery costs without heavy incentives.
  • Offer delivery partners predictable shift blocks, transparent earnings estimates, fast payouts and accident/health protection to improve retention versus platforms competing solely on incentives.
  • Rework delivery pricing by urgency and distance: protect free-delivery thresholds for high-margin baskets while charging for express, low-value and long-distance orders.
  • Design assisted-commerce and home-service bundles that use the same flexible workforce for delivery, installation, returns and repeat replenishment.
  • Reduce dependence on a single platform by maintaining multi-platform delivery integrations and a selectively owned partner fleet in strategic high-density catchments.