Cell Towers

Find Your Next Tower Site in Seconds

BigGeo's Cell Towers dataset gives network planners and GIS teams instant spatial access to 100,000 tower records indexed against population density, terrain, and regulatory layers. Stop spending weeks on site analysis that still produces the wrong answer.

At a Glance

The Data Behind the Decision

100,000+
Cell tower records indexed
6+
Spatial layers combinable instantly
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Platform, no GIS software needed
Buy by Geography

Stop buying the whole country. Buy just your markets.

Most data vendors sell you a national license to millions of records you will never contact. BigGeo works differently.You tell us where you sell, and we cut you exactly that geographic slice of the dataset. A single city.

A cluster of ZIP codes. A metro area. A county. Whatever matches your territory. The result is a lean, CRM-ready file containing only the companies in the markets you actually work, delivered at a fraction of the cost of a full national license.

Book a Meeting

See Your Coverage Gaps in 30 Minutes

The Problem

Site Selection Is Broken Before You Start

Network planners are making multi-million dollar tower deployment decisions using fragmented data pulled from disconnected systems, stitched together in spreadsheets, and validated by GIS analysts who are already three projects behind. The result is coverage gaps that persist for quarters and capital allocated to sites that fail permitting. This is not a workflow problem. It is a data access problem.

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Coverage Gaps Missed at Planning
Without a unified spatial view of existing tower locations against live population and mobility data, planners consistently underserve high-demand areas. By the time the gap surfaces in customer complaints, you are already 18 months behind the build cycle.
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Zoning and Permitting Surprises
Regulatory constraints and land use restrictions are rarely visible until a site is already in the capital plan. Discovering a zoning conflict at the permitting stage kills timelines and burns planning resources that cannot be recovered.
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Site Ranking Without Spatial Context
Candidate sites are often scored on cost and access alone, with no quantified measure of coverage improvement potential. That means capital goes to sites that are easy to build, not sites that actually close the network gap.
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GIS Bottleneck Slowing Every Decision
Every meaningful site question requires a GIS specialist to pull layers, run intersections, and produce a map that is already outdated by the time stakeholders see it. The team that should be accelerating deployment is instead backlogged answering data requests.
What Is In The Dataset

Every Tower Record, Spatially Ready to Work

Existing Tower Location Intelligence

Every tower record is spatially indexed so you can immediately identify where existing infrastructure sits relative to your candidate sites. That means coverage overlap analysis runs in seconds, not days.

Coverage Gap Identification Layer

Overlay tower locations against population density and mobility signals to surface underserved areas with precision. You stop guessing where demand exists and start ranking sites by actual coverage improvement potential.

Candidate Site Feasibility Scoring

Combine tower data with terrain, land use, and zoning layers inside BigGeo DataLab to rank every candidate site by construction feasibility and permitting risk before a single dollar enters the capital plan.

Network Deployment Planning at Scale

With 100,000 records indexed and combinable across spatial layers, your planning team can run multi-market coverage scenarios simultaneously. Portfolio-level tower strategy no longer requires weeks of analyst time.

Let's talk
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The world's spatial data is more accessible than you think. Let's show you how close you already are.
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You already have the questions. We have the data. Let's see what happens when they meet.
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The where in your business is more important than you think. Let's find it together.
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Most spatial data conversations start with a problem nobody thought was solvable. What is yours?
BigGeo AI

Ask Any Tower Site Question in Plain Language, Get a Governed Answer

BigGeo AI is live in ChatGPT today and shipping in Claude, giving your network planning and GIS teams the ability to ask complex spatial questions about tower coverage, population demand, and site feasibility in plain language and get accurate, governed answers grounded in real indexed data. The analysis that used to require a GIS specialist, a data pull, and a 48-hour turnaround now takes the time it takes to type a question. The underlying tower data never leaves the governed compute path, regardless of how the question is asked.

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Show me all counties with population density above 500 per sq mile and no tower within 10 miles
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Which candidate sites in our pipeline have the highest coverage gap improvement potential based on existing tower locations?
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Flag all proposed tower sites located in zoning classes that historically have permitting delays over 6 months
FAQ

Frequently asked questions

We already have a tower location database internally. Why would we need this dataset?
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How does this help with permitting risk? That is usually a local government problem, not a data problem.
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How current is the tower data and how often does it refresh?
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How does this integrate with the GIS tools our team already uses?
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What does getting started actually look like? We do not have months to onboard a new platform.
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