ArcGIS World Geocoder

Past Recompete Updated

Agency
Solicitation expected
Estimated value
$250,000 to $500,000
Set-aside
Total Small Business

Forecast facts

Anticipated award
Through
Acquisition strategy
Follow-on to Existing Contract
NAICS code
511210 Software Publishers
Place of performance
Arlington, VA
Forecast number
F2024065499
Points of contact

Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.

About this forecast

The forecasted federal contract opportunity is for the recompetition of the ArcGIS World Geocoder, a software and application combining mapping and data analytics to deliver location intelligence. Key requirements include features such as fusing disparate data, geocoding, spatial analysis, fleet/asset routing, geostatistical analysis, and integration with other geospatial systems. The estimated solicitation release date is May 1, 2024, and the estimated award date is June 29, 2024.

The estimated award value range is between $250,000 and $500,000. The place of performance is Arlington County, Arlington, VA, USA. The contract is set aside for Small Business concerns.

Forecast text

This is a software and application combining mapping and data analytics to delivery location intelligence. Features include the following:

• Fusing of disparate data and Visualization (to also include temporal data)?

• Geocode/Geo-locate Data.?

• Performing Spatial/Attribute/Proximity Analysis (to include select by attribute buffer spatial features, geo-fencing, slope calculation)?

• Analyzing Line of Sight (LoS) (to support counter sniper and/or antenna/tower placement)?

• Scheduling Fleet/Asset Routing?

• Analyzing Service Area & Drive Time modeling?

• Tracing of networks, systems, and infrastructures Conducting Geostatistical Analysis (to include performing spatial statistics, assess risk factors, as well as link data, graphs, and maps dynamically)?

• Optimizing Workflows for Data and Cartographic Production (to include edit controls and versioning)?

• Modeling Consequence Assessment (to include support for existing Homeland Security/Homeland Defense models and the ability to build, combine and analyze new models that address man-made and natural disasters such as landslide probability, debris calculation, crime/gang analytics)?

• Federating with a variety of geospatial, remote sensing, and non-geospatial visualization software?

• Unifying with other geospatial systems outside the Department (Federal Inter-agency, State, Local, & Tribal etc.) using out-of-the box standardized information exchange protocols?

• Providing upgrades/updates to meet both emerging data modeling uses (i.e.? Artificial Intelligence, Machine Learning) and DHS information

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