India E-commerce Logistics Market Overview

India E-commerce Logistics Market Overview

Bonafide Research 01-06-2016 68 Pages Figures : 38 Tables : 5
Region : Asia-Pacific Country : India Category : Automotive & Transport Logistics

1. Delhivery Private Limited

2. Ecom Express Private Limited

3. Ekart Logistics Private Limited

4. Gojavas Private Limited

Indian e-Commerce market has seen a rapid growth in past few years. Its More than 70% of the e-Commerce market is travel related. The e-Tailing market has growing at a CAGR of more than 35%.The remaining comprises e-Tailing (online retailing), online financing and classifieds. Increasing internet and mobile penetration, growing acceptability of online payments and favourable demographics has provided the e-commerce sector in India the unique opportunity to companies connect with their customers. There would be over a five to seven fold increase in revenue generated through e-commerce as compared to last year with all branded apparel, accessories, jewellery, gifts, footwear are available at a cheaper rates and delivered at the doorstep. Out of 8 e-Commerce unicorns from India, 3 are e-Tailers (Flipkart, Snapdeal, Shopclues). The unprecedented rise in the e-Tailing market led to rise in demand of e-Commerce Logistics. According to ‘Indian e-Commerce Logistics Market Overview’, the customer base for e-Tailers wasn’t just restricted to the Metros. Almost half of the orders were from Tier 2 and Tier 3 cities. Generally all the Logistics Service Providers have a great reach and give timely deliveries in metros but, with this expanding customer base, timely delivery to such regions became a necessity. Logistics isn’t just an issue for bigger players but it is a bigger issue for smaller and up-coming start-ups. Finding a perfect logistics partner with a great reach across the country, COD facility and timely remittance and all this at a lesser price became one of the primary objectives for all the e-Tailers. A delay in delivery just adds to the dismay of the customer. The big e-Tailers like Flipkart, Amazon, Jabong, and FirstCry went for developing in-house Captive Logistics arm eg. Ekart of Flipkart, Amazon’s Amazon Transportation Services Pvt. Ltd., GoJavas of Jabong, XpressBees of FirstCry etc. Many start-ups have entered into the logistics market in past few years offering e-Commerce focused logistics solution, Delhivery, Ecom Express and GoJavas, to name a few. The traditional LSPs like Blue Dart, FedEx, Gati, India Post, Safexpress etc. have also come up with their e-Commerce focused logistics solutions. In coming years this market is going to rise as with the increase in the e-Tailing market aided by internet and Smartphone penetration in India, and to cease the opportunity many new players will enter the market with their offerings for e-Tailers. Key Category • Indian e-Commerce Market Share and Forecast • Indian Logistics market outlook • Segmental Analysis of e-Commerce Market: By Category, Channel, Payment Mode, Region, Tier and City, Gender and Age Group • Indian e-Commerce Market Share and Forecast • Segmental Analysis of e-Commerce Logistics Market: By Company, By Category, By Type of Logistics Service Provider and By Region • Pincode Coverage of Total Players • Pricing Analysis of prominent Logistics Service Providers (FedEx, India Post, Ecom Express, Aramex, Delhivery, GoJavas) • COD Scenario, Returns, Reverse Logistics etc. • Company profiles of leading players and overview of start-ups This report can be useful to Industry consultants, manufacturers and other stakeholders to align their market-centric strategies. In addition to marketing & presentations, it will also increase competitive knowledge about the industry. Report Methodology The information contained in this report is based upon both primary and secondary research. Primary research included interviews with various channel partners of E-commerce logistics in India. Secondary research included an exhaustive search of relevant publications like company annual reports, financial reports and proprietary databases.

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