Key takeaways
- The Indian pre-owned goods market has significantly expanded, with OLX commanding over 85% market share in online classifieds.
- Used cars represent the largest segment of transactions on OLX, with increasing interest in other categories like mobiles and appliances.
- OLX leverages artificial intelligence and machine learning to enhance customer experience and streamline operations.
- A substantial percentage of Indian households possess unused items, indicating a vast potential for the pre-owned goods market.
- With 50 million monthly active users, technology is integral to OLX's strategy for maintaining a competitive edge.
The phrase, “'creativity is making marvellous out of the discarded” has become a reality in India. The Indian pre-owned goods market over the past couple of years has skyrocketed. Today, from used cars to mobile phones to books to even clothes, everything can be sold and bought on the internet.
According to a survey (OLX CRUST Survey), the market size and opportunity of pre-owned goods back in 2016 stood at over ₹78,300 crores. The report further stated that on an average, every Indian household is stocking 12 clothing items, 14 kitchen utensils, 11 books, 7 kitchen appliances, 2 mobile phones and 3 watches. Almost 90% of Indian households stock goods that they don't use anymore.
Talking about the existing market, goods are growing at varying rates across different categories. OLX is playing a significant role, commanding over 85% market share in the online classifieds market in India. Today, used cars are the biggest segment of consumer transactions at OLX and as per the industry. However, the market is also responding encouragingly for mobiles, white goods and jobs.
To know more about the industry and how OLX is leveraging machine learning, we spoke to Akanksha Dhamija, Director - Customer Centricity and Analytics at OLX.




