MariData stands at the forefront of the maritime intelligence sector, serving as a critical bridge between complex global shipping operations and actionable data-driven insights. The company’s core mission is to bring transparency and efficiency to the maritime industry by providing high-fidelity, reliable data streams that empower organizations to make informed decisions in an increasingly volatile global supply chain. By aggregating, processing, and delivering comprehensive maritime information, MariData enables its clients to navigate the complexities of international trade, logistics, and environmental compliance with precision and confidence.
The company’s primary product suite is anchored by its robust Maritime Vessel Tracking API, which offers real-time visibility into the movements of commercial ships across thousands of ports worldwide. This foundational data is complemented by the OpenSeaMap Data Feed, which provides essential geospatial context, and the Onboard Vessel Sensor Data, which delivers granular, high-sampling rate measurements from energy management and operational systems. These datasets allow users to move beyond surface-level tracking to understand the technical and operational performance of individual vessels.
MariData serves a diverse range of stakeholders, including financial institutions and investment firms that require precise tracking for commodity flow analysis and market forecasting. Furthermore, the company supports compliance officers and regulatory bodies by providing the necessary data to monitor maritime activities, ensure adherence to international standards, and mitigate operational risks. Research institutions and logistics planners also leverage MariData’s resources to optimize route planning, analyze port congestion, and study the environmental impact of shipping operations.
Technically, MariData distinguishes itself through its commitment to data integrity and seamless integration capabilities. The company utilizes advanced ingestion pipelines to ensure that its feeds are both accurate and timely, offering flexible delivery options that allow clients to integrate maritime intelligence directly into their existing enterprise resource planning or business intelligence platforms. By focusing on high-frequency, high-quality data, MariData provides a significant competitive advantage to its users, helping them anticipate market shifts and operational bottlenecks before they occur.
Through a combination of extensive global coverage and a deep understanding of maritime technical requirements, MariData remains a trusted partner for any organization seeking to harness the power of maritime data to drive strategic growth and operational excellence.
3
data_provider
UK
2012
6
2
maridata.com
Freshness
Recently enriched
API Status
No API
Compliance (vendor-reported)
Quality Breakdown
OpenSeaMap data and their attributation - GIS StackExchange
I am very interested in information on how data are filtered in the OpenSeaMap project to achieve the data shown on OpenSeaMap.org!
Maridata
r/Maridata: Marida con la vida, marida con vos.
MariData (@MariData) / Posts / X
MariData (@MariData) - Posts - Maritime commodity movement data specialists. | X (formerly Twitter)
Based on vendor-reported attestations, not verified by Vedex. Breach history is not scored.
These are the vendor's own attestations as collected from public sources, not Vedex's. Verify directly with the vendor.
Geospatial maritime data extracted from OpenStreetMap and provided via WFS.
High-sampling rate measurements from onboard energy management and operational systems.
API providing tracking data for over 50,000 commercial ships across 7,500 ports worldwide.
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MariData is a data provider vendor headquartered in UK, founded in 2012 with approximately 6 employees. MariData specializes in marine traffic data, other, providers, trade data data. This vendor has a Vedex Intelligence Score of 31 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
MariData operates in the following alternative data categories.