India’s e-commerce market is forecast to grow to $345 billion by 2030, up from $125 billion in 2024. The rapid expansion of quick commerce and digital infrastructure is driving this growth. However, investors and industry watchers remain focused on whether these companies can achieve consistent profitability alongside such fast-paced expansion.
India’s online retail ecosystem is expected to enter a phase of significant growth, with a new industry report from Infisum projecting the market will reach $345 billion by 2030. This growth is expected to occur at a compound annual rate of 18.4% from the $125 billion recorded in 2024. The transformation is being led by a shift in consumer habits, specifically the rise of quick commerce and the adoption of artificial intelligence in retail.
Quick Commerce Leads the Expansion
The quick commerce sector has evolved from a niche service into a primary growth engine for the broader industry. It is expected to account for 45% to 50% of all new growth in the e-retail space, reaching an estimated value of $65 billion to $70 billion by 2030. Currently, the market is led by Blinkit, which holds approximately 44% of the share, followed by Zepto at 25% and Swiggy Instamart at 20%. These companies are aggressively building out logistics networks, with the total number of dark stores—small, neighborhood warehouses used for rapid delivery—projected to jump from 2,525 in 2025 to 7,500 by the end of the decade.
New Growth Drivers and Risks
The industry is seeing a shift in its customer base. A large portion of new orders is now coming from Tier II and Tier III cities, rather than just major metropolitan areas. Additionally, Gen Z is becoming the largest spending group, significantly influencing online shopping trends. While this user expansion is positive, the industry faces significant hurdles. A major challenge for investors is the struggle for profitability. Despite high order volumes, many companies in the quick commerce segment continue to report losses due to the high cost of maintaining logistics networks and the expense of acquiring and retaining customers.
The Role of Technology and Future Outlook
To address operational inefficiencies, retailers are turning to advanced technologies. Artificial intelligence and machine learning are being used to optimize inventory management and customer interactions, with projections suggesting these tools could boost retail productivity by up to 37% by 2030. As the total online shopper base is expected to reach 440 million, companies will need to balance the need for rapid service with the ability to manage rising operational costs. The long-term success of this sector will likely depend on whether companies can effectively scale their logistics infrastructure without compromising their financial health. Investors and analysts will continue to monitor how these players manage their cash flow and move toward sustainable business models in the coming years.