What is Trade Data? Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What Is Trade Data?
Trade data refers to structured information that tracks the exchange of goods and services between countries, industries, and businesses. It includes details on imports, exports, tariffs, and supply chain movements, enabling businesses, governments, and financial institutions to analyze global trade patterns, assess risks, and optimize procurement strategies.
Trade datasets can reveal market trends, help businesses comply with international regulations, and provide supply chain intelligence. Many trade data providers offer API access for seamless integration with business intelligence tools.
What Are Examples of Trade Data?
Trade data encompasses various metrics that provide insights into global commerce and economic trends. It helps businesses, policymakers, and analysts understand market dynamics and make informed decisions. Below are some key examples of trade data:
- Import and Export Data – Records of goods and services exchanged between countries, categorized by product type and value.
- Trade Balances – The difference between a country’s exports and imports, indicating a trade surplus or deficit.
- Tariff Data – Information on duties, taxes, and import/export restrictions imposed on goods traded internationally.
- Trade Flows – Data on the movement of goods between countries, including origin, destination, and volume.
- Transport & Logistics Data – Insights into transportation routes, container tracking, and supply chain efficiency.
- Harmonized System (HS) Code – Classification codes used globally to categorize traded goods.
Access the Best Trade Databases & Datasets
Several platforms offer trade data, including government databases like UN Comtrade, the World Trade Organization (WTO), and commercial providers specializing in global trade intelligence. The best database depends on the type of insights required.
Datarade offers a broad selection of trade datasets, including global trade intelligence, supply chain risk management, and tariff analytics. Some datasets focus on specific industries, such as commodity trading, while others provide holistic insights into global trade flows and regulations.
The right dataset depends on the specific business need, whether it’s monitoring export restrictions, evaluating trade compliance, or analyzing supply chain trends. Many trade data providers offer historical and real-time datasets, often available via API for integration with enterprise platforms.
Import/Export Trade Data in Europe
Import/Export Trade Data in Africa
Import/Export Trade Data in Asia
Import/Export Trade Data in Latin America
Import/Export Trade Data in North America
Import/Export Trade Data in Oceania (Techsalerator)
Crypto Trade Data - Real-Time & Historical trading data from 350+ Exchanges | CEX & DEX | Trade-by-Trade Data
Asian Continent (51 Countries) Detailed Customs Data | Trade Activities Insights | Trade data API | Supply Chain Analysis
Burundi Customs Import Export Trade Data Collection (Jan 2018 onwards) | Trade Data APIs, Bulk Data & Online platform Annual Subscription Available
Vietnam Customs Import Export Data Collection (2018-2023) | Global Trade Data | Importer & Exporter Compnaies Information
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Top Trade Data Providers & Companies
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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Market Inside Data
CoverageUSAUK+247VI use Market Inside data for business expansion by analyzing international trends, assessing the prices of raw materials from importers, and comparing the imports of our competitors. Apart from that, it helps to analyze trends in the international market, find new buyers, and close deals by knowing our competitors' prices.
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Cosmic Link Data
CoverageUSACosmic Link Data offers verified, AI-enhanced datasets for the heavy industrial supply chain. We ensure high accuracy through multi-source curation and continuous updates. We provide data solutions, empowering businesses with insights for lead generation, market analysis, and strategic growth.GDPRCompliantVerifiedHITL -
Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
Popular Use Cases for Trade Data
Trade data supports a variety of business and policy decisions. Here are some of the most common applications:
- Supply Chain Intelligence – Tracking global shipments, trade routes, and supplier performance.
- Commodity Tracking – Monitoring trade volumes and pricing trends for raw materials and goods.
- Vessel Risk Mitigation – Assessing trade disruptions and compliance risks related to international shipping.
- Procurement Intelligence – Identifying cost-effective suppliers and evaluating trade regulations.
- Supply Chain Risk Management (SCRM) – Analyzing global trade patterns to mitigate disruptions.
- Market Expansion Strategy – Using trade data to identify emerging opportunities in new markets.
- Trade Policy Analysis – Understanding how tariffs, trade agreements, and regulations impact international commerce.
Main Attributes of Trade Data
Trade datasets contain various attributes that make them valuable for businesses and analysts. Key attributes include:
- Product Descriptions – Details on traded goods, categorized by industry and classification codes.
- Country of Origin & Destination – Information on where goods are produced and shipped.
- HS Codes – Standardized classification codes for internationally traded products.
- Trade Volume & Value – Measurement of quantity and monetary value of imports and exports.
- Tariff & Duty Information – Details on trade restrictions, taxes, and customs regulations.
- Transport Data – Information on shipping routes, carriers, and delivery times.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a company or business, might be the legal or brand name. | View 39 datasets | |
| String | The ticker symbol of a stock. | View 32 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 25 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 24 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 19 datasets | |
| String | The name of a country. | View 18 datasets |
Why Is Trade Data Important?
Trade data is essential for businesses, investors, and policymakers. It enables organizations to monitor global trade trends, optimize supply chains, and ensure compliance with international regulations.
Competitive Analysis
Access to trade data allows businesses to track competitors’ sourcing strategies, monitor global market demand, and anticipate supply chain disruptions. Companies can adjust their procurement strategies based on real-time trade insights.
Risk Management
By analyzing trade data, businesses can identify geopolitical risks, trade barriers, and emerging tariffs that may impact their operations. Companies can also assess supplier reliability and diversify sourcing strategies to reduce dependence on high-risk regions.
Policy & Regulatory Compliance
Governments and financial institutions use trade data to track economic performance, enforce trade agreements, and prevent fraud. Compliance teams rely on tariff data, customs records, and export control lists to navigate complex trade regulations.
What Is Trade Data & Analysis?
Trade data analysis involves examining import and export trends, supply chain disruptions, and trade policy changes to make informed business decisions. It helps businesses understand international market trends and adjust their sourcing or investment strategies accordingly.
What Is Trade & Tariff Data?
Trade and tariff data refer to information on global trade activities and the associated costs of moving goods across borders. This includes import/export duties, preferential trade agreements, and regulatory restrictions that impact international commerce.
How Is Trade Data Collected?
Trade data is sourced from multiple entities, including:
- Customs and Border Agencies – Recording import/export declarations and tariffs.
- Trade Registries – National and international organizations tracking trade volumes.
- Shipping & Logistics Companies – Providing insights into trade routes and cargo movements.
- Financial Institutions – Monitoring global trade financing and investment trends.
Frequently Asked Questions
How is the Quality of Trade Data Maintained?
The quality of Trade Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Trade Data Updated?
The update frequency for Trade Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Trade Data Secure?
The security of Trade Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Trade Data Delivered?
Trade Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Trade Data.
How Much Does Trade Data Cost?
The cost of Trade Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Trade Data for your needs.
What Are Similar Data Types to Trade Data?
Trade Data is similar to other data types, such as Telecom Data, Environmental Data, Weather Data, B2B Data, and AI Training Data. These related categories are often used together for applications like Supply Chain Intelligence and Commodity tracking.
