Import-export data is a comprehensive collection of information regarding the commodities traded internationally. The data gives an understanding of a country's trade balance and details what products are imported or exported, how much, how many, and who the trade partners are. Import-export data is fundamental for businesses or economists, and policymakers wanting to understand global trading dynamics and figure out a trade strategy for their organization.

Businesses use import-export data to explore market trends, find potential suppliers, and uncover new business opportunities. Some organizations also use import-export data to evaluate competitors and identify demand for products. With the help of import-export statistics, businesses can locate market gaps and then change their process or strategy based on that information to enhance profitability.

Governments and customs authorities are the main sources for import and export data. Other sources include third-party sources like Exim Trade Data, which has recently developed formats for how to get current and in-depth data for trade twenty-four-seven. These third sectors collect data from trade policies/treaties, shipment documents, and port information. They compile this data and then provide the information for businesses to use at their disposal.

There are a few main types of import-export data, including:

• Customs data: Provides more detailed shipment information.

• HS Code Data: The HS classification is the standardized system used to classify products by type and purpose.

• Trade Value and Volume: Provides information about the monetary value and volume of goods traded.

Import-export data aids in market expansion, risk management, and supply chain optimization. By accessing detailed trade statistics, companies can track trends, anticipate changes in tariffs, and optimize logistics. The data also supports decision-making for market entry, product pricing, and international partnerships.