Jerseys, Sweatshirts & Pullovers - India

  • India
  • In 2024, the revenue in the Jerseys, Sweatshirts & Pullovers market in India amounts to INR US$4.35bn.
  • It is projected that the market will experience an annual growth rate of 3.95% from 2024 to 2028 (CAGR 2024-2028).
  • When compared globally, in the United States generates the highest revenue in this segment, with INR US$14,170m in 2024.
  • Taking into account the total population, the per person revenue in India's Jerseys, Sweatshirts & Pullovers market is estimated to be INR US$3.01 in 2024.
  • Looking ahead to 2028, the volume in the Jerseys, Sweatshirts & Pullovers market is projected to reach 0.6bn pieces units in India.
  • Additionally, there is an expected volume growth of 4.1% in 2025.
  • On average, each person in India is anticipated to purchase 0.4pieces units in the Jerseys, Sweatshirts & Pullovers market in 2024.
  • India's market for Jerseys, Sweatshirts & Pullovers is experiencing a surge in demand due to the growing popularity of athleisure wear among urban millennials.

Key regions: Australia, Singapore, Europe, India, United States

Region comparison


Data coverage:

Data encompasses B2C enterprises. Figures are based on the consumer spending on clothing which comprises women, men, and children segments that are produced for private end customers for both offline retail (department stores, traditional specialist shops) and online retail (e-commerce, ordering by catalog).

Modeling approach / Market size:

Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use resources from the Statista platform, national statistics, industry research, market data from independent databases and third-party sources, historical developments, current trends, reported performance indicators from the key market players, and Statista interviews with market experts. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, consumer price index and population. This data helps us to estimate the market size for each country individually.


In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the exponential trend smoothing illustrates suited forecasting for the Apparel market with projected steady growth. The main drivers are GDP per capita and consumer spending per capita.

Additional Notes :

The market is updated twice per 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.


  • Revenue
  • Sales Channels
  • Key Players
  • Volume
  • Price
  • Global Comparison
  • Methodology
  • Key Market Indicators
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