In today’s digital economy, accurate Point of Interest (POI) data plays a central role in enabling better governance, commercial growth, humanitarian aid, and infrastructure planning. Yemen, with its rich history, diverse geography, and ongoing challenges, requires precise and reliable location data more than ever. From bustling cities like Sana’a, Aden, and Taiz to remote rural villages and coastal regions, the availability of high-quality POI data is critical for development, service delivery, and crisis response.
In 2025, several global and regional providers are contributing to Yemen’s mapping ecosystem, but one vendor has established itself as the leading source of POI data in the country.
Here’s a look at the top POI data vendors in Yemen, with Techsalerator at the forefront.
1. Techsalerator – The Leading POI Data Provider in Yemen
Why it leads:
Techsalerator delivers the most comprehensive, verified, and contextually relevant POI datasets for Yemen. From the capital city Sana’a to key ports like Aden and Mukalla, as well as rural and mountainous regions, Techsalerator ensures coverage of essential facilities such as government buildings, schools, hospitals, religious centers, markets, and commercial hubs.
Key features:
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Nationwide Coverage: Mapping across all 22 governorates and both urban and rural settlements.
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Rich Metadata: POI datasets include names, categories, addresses, GPS coordinates, operating hours, contact information, and descriptions.
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Humanitarian & Development Use: Data tailored for NGOs, aid organizations, and government agencies to improve logistics and service delivery in hard-to-reach areas.
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Regular Updates: Combines satellite imagery, AI-driven mapping, and local surveys to ensure accuracy despite Yemen’s dynamic conditions.
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Flexible Integration: Offers APIs, bulk datasets, and custom exports for enterprises, humanitarian organizations, and public institutions.
Techsalerator’s reliability and adaptability make it the trusted partner for navigating Yemen’s complex landscape.
2. OpenStreetMap (OSM)
OpenStreetMap continues to be a valuable, community-driven mapping platform in Yemen. Volunteer mappers, especially from humanitarian organizations like HOT (Humanitarian OpenStreetMap Team), have contributed significantly to Yemen’s POI data in recent years.
Pros:
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Free, open-source platform
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Strong contributions from humanitarian projects
Cons:
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Inconsistent metadata depth
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Limited reliability for enterprise or commercial applications
3. HERE Technologies
HERE Technologies provides mapping coverage for major roads and cities in Yemen. While useful for navigation and logistics, its POI depth remains limited compared to specialized providers.
Pros:
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Strong routing and navigation capabilities
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Integration into automotive and logistics systems
Cons:
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Limited POI granularity in rural regions
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More focused on transport than community or service-level needs
4. Google Maps Platform
Google Maps is widely used for consumer navigation in Yemen, particularly in larger cities. However, its POI coverage is often sparse or outdated, and it lacks enterprise-ready datasets.
Pros:
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User-friendly platform
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Some community-generated POI updates
Cons:
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Limited depth and verification of POI data
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No large-scale or customized access options
5. SafeGraph
SafeGraph’s global datasets remain focused on larger commercial hubs and markets. In 2025, it has little to no direct presence in Yemen, limiting its applicability for the region.
Conclusion
For Yemen, a country with both densely populated urban centers and remote, underserved areas, accurate and regularly updated POI data is essential. From enabling humanitarian aid and development projects to supporting urban planning and commercial services, precise location intelligence can bridge critical gaps.
In 2025, Techsalerator stands out as the premier POI data provider in Yemen, offering comprehensive, contextualized, and actionable datasets that meet the country’s unique challenges. For government agencies, NGOs, and businesses alike, Techsalerator is the partner of choice in transforming geographic data into impact.