Market Insights Consumer Household Appliances Small Appliances

Hair Clippers - Sri Lanka

Sri Lanka

The Hair Clippers market in Sri Lanka is projected to generate a revenue of US$23.45m in 2024.
According to market analysis, this segment is expected to grow at an annual rate of 5.00% from 2024 to 2029, as measured by the compound annual growth rate (CAGR).
When compared globally, in China leads the market in terms of revenue, with an estimated amount of US$3,093m in 2024.
In relation to the total number of households, the per household revenue in the Hair Clippers market is projected to be US$4.12 in 2024.
This indicates the potential market size and consumer demand for hair clippers in Sri Lanka.
Looking into the future, the volume of hair clippers sold in the Sri Lankan market is expected to reach 0.7m pieces units by 2029.
Additionally, there is an anticipated volume growth of 1.3% expected in 2025.
On average, each household in Sri Lanka is expected to purchase 0.11pieces hair clippers in the Hair Clippers market in 2024.
This metric provides insights into the per household consumption pattern within the country.
The demand for high-quality hair clippers in Sri Lanka is on the rise, driven by the growing popularity of grooming and personal care among the urban population.

Key regions: Japan, Canada, Europe, United States, Worldwide

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Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on consumer spending on Household Appliances.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, trade data, national statistical office data, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global Survey), as well as performance factors. In addition, we use relevant key market indicators and data from country-specific associations, such as number of households, consumer spending, and price level index. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques, such as exponential trend smoothing, for instance. The selection of forecasting techniques is based on the behavior of the relevant market.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Survey data is reweighted for representativeness.