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ReCommerce Fashion - India

India

Revenue

Analyst Opinion

The ReCommerce Fashion market in India is witnessing rapid growth, fueled by increasing consumer interest in sustainable fashion, the rise of online resale platforms, and a shift towards budget-friendly shopping options, all contributing to a vibrant circular economy.

Customer preferences:
Consumers in India are increasingly gravitating towards ReCommerce fashion, driven by a growing awareness of sustainability and environmental impact. This shift is particularly evident among younger demographics, who prioritize eco-friendly choices and are more inclined to shop second-hand. Additionally, the rise of social media influencers promoting thrifted fashion is reshaping perceptions, making pre-owned clothing trendy. As urban lifestyles evolve, budget-conscious shoppers are also embracing ReCommerce as a viable alternative, further enhancing the appeal of circular fashion practices.

Trends in the market:
In India, the ReCommerce fashion market is experiencing a surge as consumers increasingly seek sustainable and affordable clothing options. The trend is particularly strong among millennials and Gen Z, who are embracing thrift shopping and second-hand apparel as fashionable choices. Social media platforms play a crucial role, with influencers showcasing curated thrift finds, thus normalizing pre-owned fashion. This shift not only promotes eco-consciousness but also encourages budget-friendly shopping, compelling brands and retailers to adapt their strategies. Industry stakeholders must innovate to cater to this evolving consumer mindset, emphasizing sustainability and circular fashion practices.

Local special circumstances:
In India, the ReCommerce fashion market is thriving, fueled by a rich cultural heritage that values craftsmanship and sustainability. Local festivals and traditions often emphasize the importance of reusing and recycling textiles, which resonates with the growing eco-conscious mindset. Additionally, urban areas are witnessing a surge in thrift stores and online platforms, catering to the demand for affordable fashion. Regulatory support for sustainable practices further enhances this trend, encouraging brands to adopt circular economy principles, ultimately reshaping consumer behavior towards pre-owned apparel.

Underlying macroeconomic factors:
The expansion of the ReCommerce fashion market in India is significantly shaped by macroeconomic factors such as rising disposable incomes, urbanization, and a growing emphasis on sustainability. The increasing awareness of environmental issues is prompting consumers to seek eco-friendly alternatives, driving demand for pre-owned apparel. Additionally, favorable fiscal policies that support small businesses and promote sustainable practices are encouraging the growth of thrift stores and online resale platforms. Global economic trends, including shifts towards circular economies, further influence consumer preferences, making second-hand fashion a viable and attractive option for budget-conscious shoppers.

Users

Global Comparison

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the ÌÇÐÄÆÆ½â°æ Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.

Key Market Indicators

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