ÌÇÐÄÆƽâ°æ

The ReCommerce Fashion market in China is witnessing remarkable growth, fueled by increasing consumer awareness of sustainability, the rise of online resale platforms, and a shift towards affordable luxury, making second-hand fashion more appealing to a broader audience.

Customer preferences: In China, consumers are increasingly gravitating towards ReCommerce Fashion, driven by a growing consciousness of sustainability and the desire for unique, affordable luxury items. This trend is particularly pronounced among younger generations, who prioritize individuality and ethical consumption. Additionally, the rise of social media influencers and online resale platforms has made second-hand shopping more mainstream, appealing to tech-savvy shoppers. Cultural shifts towards valuing experiences over possessions further enhance the allure of pre-owned fashion, fostering a vibrant and diverse marketplace.

Trends in the market: In China, the ReCommerce Fashion market is experiencing a surge in popularity, fueled by a heightened awareness of sustainability and the appeal of unique, affordable luxury items. Younger consumers are leading this shift, emphasizing individuality and ethical consumption in their shopping habits. The influence of social media and online resale platforms has normalized second-hand shopping, attracting a tech-savvy demographic. This cultural pivot towards valuing experiences over material possessions is reshaping the marketplace, presenting significant opportunities and challenges for brands, retailers, and stakeholders in the fashion industry.

Local special circumstances: In China, the ReCommerce Fashion market is thriving, driven by a unique blend of cultural values and technological advancements. The concept of "face," or social status, influences consumers to seek distinctive second-hand items that convey individuality and exclusivity. Additionally, the rapid urbanization and high population density in cities facilitate the growth of online resale platforms, making second-hand shopping more accessible. Government initiatives promoting sustainability further encourage eco-conscious purchasing, positioning the market for continued expansion and innovation.

Underlying macroeconomic factors: The ReCommerce Fashion market in China is significantly shaped by macroeconomic factors such as rising disposable incomes, urbanization trends, and shifting consumer preferences towards sustainability. As the economy continues to grow, consumers are increasingly willing to invest in unique second-hand fashion items that reflect their individuality. Additionally, government policies promoting circular economy practices and environmental sustainability are fostering a supportive environment for resale platforms. The proliferation of digital payment systems and e-commerce infrastructure further enhances accessibility, allowing consumers to engage with the market seamlessly. Global economic trends, such as the increasing focus on sustainable consumption, also play a crucial role in driving the growth of this sector.

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 ÌÇÐÄÆƽâ°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.