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Join us April 6th at the Google Data Cloud Summit to hear the latest innovations in analytics, AI, business intelligence, and databases.

Geospatial Analytics

Build a more prosperous and sustainable future for your organization with a comprehensive platform for geospatial workloads and applications that only Google can deliver.

Benefits

Unlock location-driven innovation and optimizations

Proven performance for analytics, AI, and apps

Rely on Google's 40+ years of combined experience and innovations operating Earth Engine, Google Maps, and BigQuery for unmatched scalability, reliability, security, and performance.

A planet’s worth of geospatial data and insights 

Access petabytes of current and historical data layers that are updated and expanding daily–from earth observation data, to civic data, to transportation and industry datasets from around the world.

Flexible and familiar tooling for fast time-to-value

Accelerate the development and deployment of your geospatial use cases using flexible and familiar tooling, open-source frameworks, and Google’s robust partner ecosystem.

Key features

Rethink how geospatial relationships and insights can accelerate your business

Google Cloud's comprehensive platform helps you solve for common geospatial use cases at scale.

geospatial cloud solution overview

Use case: Environmental risk and sustainability

Understand the risks posed by environmental conditions by predicting natural disasters like flooding and wildfires, which will help you more effectively anticipate and plan for risk. Map economic, environmental, and social conditions to determine focus areas for protecting and preserving the environment.

Use case: Location intelligence

Combining proprietary site metrics with publicly available data like traffic patterns and geographic mobility, you can use geospatial analytics to find the optimum locations for your business and predict financial outcomes–whether you’re a retailer looking for new places to open stores or a telecom provider optimizing cell tower coverage.

Use case: Supply chain and logistics optimization

Better manage fleet operations such as last-mile logistics, autonomous vehicles, precision railroading, and mobility planning by incorporating geospatial context into business decision-making. Create a digital twin of your supply chain to mitigate supply chain risk, design for sustainability, and minimize your carbon footprint. 

Ready to get started? Contact us

Documentation

Getting started guides and technical documentation

Google Cloud Basics

BigQuery documentation for geospatial analytics

Find tutorials, quickstart guides, visualization options, release notes, and more.

Google Cloud Basics

Earth Engine documentation

Find tutorials, JavaScript and Python guides, API References, connect with the Earth Engine developer community, and more.

Google Cloud Basics

Google Maps Platform documentation

All the information you need to bring the real world to your web and mobile apps with Google Maps Platform SDKs and APIs for Maps, Routes, and Places.

Best Practice

Advanced visualization on Google Maps Platform using deck.gl

Take advantage of the wide variety of beautiful, insightful 2D and 3D visualizations offered by deck.gl to create a new level of mapping experiences with your data.

Not seeing what you’re looking for?

What's new

Geospatial cloud launches, announcements, and blogs

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Take the next step

Tell us what you’re solving for. A Google Cloud expert will help you find the best solution.

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