Agricultural Product Derivatives - Sudan

Sudan

The nominal value in the Agricultural Product Derivatives market is projected to reach US$298.50m in 2025.
It is expected to show an annual growth rate (CAGR 2025-2029) of 10.71% resulting in a projected total amount of US$448.40m by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to US$0.00 in 2025.
From a global comparison perspective it is shown that the highest nominal value is reached in the United States (US$12,350.00bn in 2025).
In the Agricultural Product Derivatives market, the number of contracts is expected to amount to 222.00k by 2029.

Market

Region

Region comparison

Currency

Analyst Opinion

The Agricultural Product Derivatives market in Sudan has been experiencing notable developments in recent times. Customer preferences in Sudan for Agricultural Product Derivatives are influenced by a growing interest in diversifying investment portfolios and hedging against market volatility.

Traders and investors in Sudan are increasingly looking towards derivatives as a way to manage risk and potentially enhance returns. Trends in the market show a gradual shift towards more sophisticated derivative products in Sudan. As market participants become more familiar with these instruments, there is a growing demand for options and futures contracts linked to agricultural commodities.

This trend indicates a maturing market with increasing liquidity and participation. Local special circumstances in Sudan, such as a heavy reliance on agriculture as a key economic sector, play a significant role in shaping the Agricultural Product Derivatives market. The country's agricultural output and its susceptibility to weather conditions and other external factors drive the need for risk management tools like derivatives.

Underlying macroeconomic factors, including inflation rates and currency fluctuations, also impact the Agricultural Product Derivatives market in Sudan. Investors often turn to derivatives as a way to hedge against inflation and currency risks, adding another layer of complexity and opportunity to the market.

Methodology

Data coverage:

Figures are based on commodity derivatives, their notional value, the number of contracts traded, the open interest (outstanding contracts at the end of a year), and the average value of a contract.

Modeling approach / Market size:

Market sizes are determined by a Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use market research & analysis, and data of World Bank, as well as the World Federation of Exchanges. Furthermore, we use relevant key market indicators and data from country-specific associations and national data bureaus such as GDP, wealth per capita, and the online banking penetration rate. This data helps us to 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 particular market. In this market, we use the HOLT-damped Trend method to forecast future development. The main drivers are GDP per capita an the online banking penetration rate.

Additional Notes:

The market is updated twice per year in case market dynamics change.