Regular Bicycles - France

  • France
  • Revenue in the Regular Bicycles market in France is forecasted to reach US$0.79bn in 2024.
  • The revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of -3.24%, leading to a projected market volume of US$0.67bn by 2029.
  • Unit sales in the Regular Bicycles market are expected to hit 1.22m bicycles in 2029.
  • The volume-weighted average price of Regular Bicycles market in the market in France in 2024 is expected to be US$0.55k.
  • Looking at the global scenario, it is evident that the highest revenue will be generated the United States (US$6,900m in 2024).
 
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Analyst Opinion

In France, the Regular Bicycles Market has seen a decline in growth due to factors such as rising competition, changing consumer preferences, and economic uncertainties. Despite this, the market is still driven by the convenience and health benefits offered by bicycles, making it a popular mode of transportation for many. As the market continues to adapt to changing trends, it is expected to see a steady growth rate in the coming years.

Customer preferences:
In France, the Regular Bicycles Market has seen a rise in demand for electric bicycles as consumers prioritize eco-friendly transportation options. This trend is driven by a growing awareness of sustainability and a desire for convenience.

Local special circumstances:
In France, the Regular Bicycles Market is influenced by strong cycling culture and government initiatives promoting sustainable transportation. The market is also influenced by the country's diverse terrain, with a mix of urban and rural areas, leading to a demand for versatile bicycles. Additionally, France's strict regulations on vehicle emissions have led to a growing preference for bicycles as a mode of transportation. The market is also driven by the country's cycling events and tourism, attracting both local and international consumers.

Underlying macroeconomic factors:
The Regular Bicycles Market in France is influenced by macroeconomic factors such as consumer spending patterns, government policies, and economic stability. The country's strong economy and high disposable income levels have led to increased demand for bicycles, particularly regular bicycles. Additionally, the government's support for sustainable transportation and initiatives to reduce carbon emissions have further boosted the market. However, the ongoing economic uncertainty and fluctuations in currency exchange rates may impact consumer purchasing power and hinder market growth. Moreover, the rising popularity of e-bikes and other alternative modes of transportation may also pose a challenge to the growth of the regular bicycles market in France.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the sales of bicycles and the respective average prices for bicycles.

Modeling approach:

Market sizes are determined through a Bottom-Up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use publications of industry associations, expert blogs, and data provided by governments and scientific institutions. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, population, and consumer spending per capita (based on current prices). 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 ARIMA time series forecast and forecasts based on previous growth rates are well suited for forecasting the future demand for bicycles due to the brick and mortar nature of this market. The main drivers are GDP, consumer spending per capita, and population. The scenario analysis is based on a Monte Carlo simulation approach generating a range of possible outcomes by creating random variations in forecasted data points, based on assumptions about potential fluctuations in future values. By running numerous simulated scenarios, the model provides an estimated distribution of results, allowing for an analysis of likely ranges and confidence intervals around the forecast.

Additional notes:

The data is modeled using current exchange rates. The market is updated once 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).

Overview

  • Unit Sales
  • Analyst Opinion
  • Revenue
  • Price
  • Global Comparison
  • Methodology
  • Key Market Indicators
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