Revenue
Notes: Data was converted from local currencies using average exchange rates of the respective year. Most recent update: Sep 2024 Source: Statista Market Insights
Most recent update: Sep 2024 Source: Statista Market Insights
Volume
Most recent update: Sep 2024 Source: Statista Market Insights
Most recent update: Sep 2024 Source: Statista Market Insights
Price
Most recent update: Sep 2024 Source: Statista Market Insights
Sales Channels
Most recent update: Nov 2024 Source: Statista Market Insights
Global Comparison
Most recent update: Sep 2024 Source: Statista Market Insights
Analyst Opinion
The Sweeteners Market within The Food market in Republic of the Congo is experiencing modest growth, impacted by factors such as consumer preferences for healthier alternatives, increasing availability of a variety of sweeteners, and government initiatives promoting healthy diets. The sub-markets of Honey, Sugar, and Artificial Sweeteners each have their own dynamics, but overall, the market's growth rate is limited due to low consumer awareness and limited purchasing power. Customer preferences: Trends in the market: Local special circumstances: Underlying macroeconomic factors:
Methodology
Data coverage:
The data encompasses B2C enterprises. Figures are based on the total consumer spending on food, which comprises all private household spending on food that is meant for at-home consumption (out-of-home consumption is not accounted for).
Modeling approach:
Market sizes are determined through a top-down approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use resources from the Statista platform as well as in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending, and consumer price index. 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 exponential trend smoothing is well suited for forecasting the Food market with a projected steady growth. The main drivers are GDP per capita and consumer spending per capita.
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.