The European market for women's or girls' blouses, shirts, and shirt-blouses of textile fabric not knitted or crocheted presents distinct national variations. The United Kingdom leads with a market value of 1.0014 billion Euros, followed by Germany with 0.68045 billion Euros and Austria with 0.25136 billion Euros. In 2023, the United Kingdom saw a year-on-year increase of 1.93%, Austria grew by 2.47%, while Germany declined by 1.37%. With a 4.23% increase, Hungary showed the highest growth rate. Over the past five years, market dynamics were influenced by varying demographic trends, fashion preferences, and economic conditions within each country.
Future trends to watch in this sector include:
- Rising demand for sustainable and eco-friendly textiles, influenced by growing environmental awareness.
- An increase in e-commerce and online retail channels, offering greater convenience and variety to consumers.
- Libations toward casual and versatile attire due to remote work dynamics.
- Innovations in textile technology improving comfort and functionality.
- Potential market expansion in emerging European regions driven by changing consumer preferences and increased spending power.
Top countries in Women's or Girls' Blouses, Shirts and Shirt-Blouses of Textile Fabric Not Knitted or Crocheted Market Size Value by Country
| # | 9 Countries | Euros | Last Year | YoY | 5-years CAGR | |
|---|---|---|---|---|---|---|
| 1 | 1 United Kingdom | 1,001,400,000 | 2023 | +0.32% | +1.93% | View data |
| 2 | 2 Germany | 680,450,000 | 2023 | -0.92% | -1.37% | View data |
| 3 | 3 Austria | 251,360,000 | 2023 | +2.04% | +2.47% | View data |
| 4 | 4 Sweden | 138,850,000 | 2023 | +0.74% | +0.31% | View data |
| 5 | 5 Ireland | 126,330,000 | 2023 | +1.4% | +1.23% | View data |
| 6 | 6 Finland | 48,272,000 | 2023 | +0.13% | -0.91% | View data |
| 7 | 7 Hungary | 47,731,000 | 2023 | +4.6% | +4.23% | View data |
| 8 | 8 Czech Republic | 46,590,000 | 2023 | +1.45% | +1% | View data |
| 9 | 9 Croatia | 35,456,000 | 2023 | +6.57% | +0.4% | View data |
