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Roads Management Insights

Use Google's road data to help make proactive, data-driven decisions that improve road network safety and efficiency while enabling rapid, scalable deployment.

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Roads Management Insights

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Bird's-eye view of the Arc de Triomphe in Paris with a traffic map overlay showing blue lines and red alert icons.Satellite map of Paris with blue and orange route overlays and red alert icons around the Arc de Triomphe.

Drive proactive, data-driven decisions for road networks

Access rich, comprehensive road data with near real-time traffic in over 200 countries and territories. Comprehensive road network data including road geometries and priorities constitutes an operational layer for roads management infrastructure analysis and driving operational efficiencies.

Map of New York City with a red route and data overlay showing a 60.7% traffic delay for Wednesday at 5:00 PM.

Achieve rapid deployment & scalability

Go live across your network in weeks, not years. Effortlessly scale data collection from a single corridor to an entire jurisdiction without any hardware. You can also instantly remove the capital expenses and ongoing maintenance burden of physical infrastructure like cameras, sensors, and roadside hardware.

Traffic analysis dashboard for Abu Dhabi featuring a congestion map, data table, and travel time trend graph.

Improve safety and efficiency

Analyze live data to instantly identify unusual patterns and abnormalities that may signal an incident or disruption and inform decisions on the next steps. Collect useful data like hard braking events and vehicle plans to improve planning.

Real-time Tokyo traffic map showing multiple severe congestion alerts on major routes, highlighted in red.

Put Roads Management Insights to work

Aerial view of a complex multi-level road interchange in a city, with traffic flowing through circular overpasses.Aerial view of a complex multi-level highway interchange with cars traveling on various intersecting overpasses.

Manage traffic intelligently

Analyze traffic patterns to isolate your recurring congestion hotspots and most inefficient corridors. Target improvements and build models cost-effectively, improving conditions in the future.

Man with a headset monitors security footage and digital maps on multiple screens in a high-tech command center.Bearded man with a headset monitors city maps and security camera feeds on a computer screen in a control room.

Improve planning and investment

Gain a complete picture of live traffic conditions with up-to-the-minute information on flow, speed, and congestion. Instantly identify unusual patterns and anomalies for traffic managers to respond.

Places Insights

Derive custom statistical insights by securely joining your data with Google's comprehensive Places dataset in BigQuery to uncover real-world insights for use cases like site selection, market research, and location performance evaluation.

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Places Insights

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Map of Tokyo showing highlighted regions in blue and yellow, with a data pop-up for Ichikawa and lodging score.Map of Tokyo and Saitama regions with blue-shaded wards and one central district highlighted in yellow.

Unlock flexible analysis

Write custom SQL queries in BigQuery that are tailored to your specific business need, using over 70 distinct place attributes. Use familiar tools by bringing statistical analysis of Google’s data directly in your existing BQ environment, and take advantage of tools like BigQuery ML, Gemini Enterprise Agent Platform and Looker.

NYC map with vegan restaurant ratings and a SQL query window for 'google_places' grouped by sublocality.

Access Google’s comprehensive and fresh Places data

Analyze over 300 place types and 70 attributes, including ratings, price level, hours, parking, and wheelchair accessibility, to understand the nuanced characteristics of any location. Gain a competitive edge using Google's fresh and comprehensive dataset of over 250 million places worldwide.

Hexagonal heat map of Manhattan showing restaurant density, with highest concentrations in Midtown and Lower Manhattan.

Make confident, data-driven decisions securely

Safely combine your proprietary data with Google's Places data in BigQuery, allowing you to run analysis without ever exposing sensitive information. Move from anecdotal evidence to a data-driven approach, enabling you to build statistical models that predict performance and drive business growth.

Map and dashboard ranking retail locations in Atlanta, Georgia, with scores and customer reach analytics.

Put Places Insights to work

Grayscale map of Central London with a heat map overlay of green and red dots indicating data density across the city.Heatmap overlay on a map of central London, showing activity density in Soho, Westminster, and Lambeth.

Make smarter site selections

Use current and historic data to choose optimal locations for new facilities, businesses, or assets. Identify key drivers of success from existing locations to prioritize prospect sites.

Aerial view of a coastal city with overlay markers for Urban Food Mart, Bab's Produce, and Willow Market.Aerial city map with labels showing distances to Urban Food Mart, Bab's Produce, and Willow Market.

Understand why certain physical locations perform

Analyze factors like average ratings and reviews, proximity to other businesses, and other geographic characteristics.

Population Dynamics Insights

Turn search trends, mobility, and environmental data into secure ML-ready embeddings to instantly predict location performance, fill data gaps, and model human behavior.

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Map of measles risk levels in the Northeastern US and parts of Canada, from lowest to very high risk.Map of the U.S. showing measles risk levels by county, with shades of blue representing lowest to very high risk.

Make better predictions with pre-trained human dynamics

Understand human behavior and the physical landscape to capture why certain locations thrive. Leverage these underlying patterns to replicate success in new regions and sharpen your forecasts.

Use universal, geospatial data in your spatial models

Eliminate the overhead of normalizing, aligning, and aggregating raw geospatial signals. Get privacy preservation and aggregation that give you vectors ready for your machine learning models.

Overcome data gaps and blind spots

Access ML-ready embeddings that are globally standardized and comparable, enabling your organization to apply insights from a known market to new, unanalyzed regions. Work with a consistent feature set available for 17+ countries.

Street View Insights

Tap into Google Street View’s vast repository of over 280 billion 360° and 3D images covering infrastructure across 110+ countries. Reduce costly, time-consuming field surveys and gain actionable infrastructure insights right from your desk.

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Street View Insights

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Split screen showing a map with pink data points and a satellite view of a road intersection with camera icons and cars.Side-by-side view of a city map with red data points and an aerial satellite photo of the same street.

Eliminate the need for field surveys

Extract actionable insights much faster than before, reducing the need for costly and time-consuming field surveys. Using natural language queries to Gemini allows you to reduce the expertise required to evaluate infrastructure.

3D digital map interface displaying residential blocks, street names, and utility pole network connections.

Automate asset management

Combine rich imagery and LiDAR precision to remotely measure assets like never before. Validate project design ideas before conducting expensive site visits to improve project preparation and efficiency.

Street map with red directional arrows along E 7th Street and purple network lines within outlined service areas.

Shift maintenance from reactive to proactive

Get accurate, timely data and AI-powered analysis to help you anticipate infrastructure issues before they become critical, leading to significant cost savings and enhanced safety and sustainability of infrastructure networks.

Map with red dots marking signs, featuring a dashboard to filter results by category and sign quality.

Put Street View Insights to work

Map with teal dots marking utility pole locations and an asset info popup showing coordinate details.Street map of Cleveland Heights showing teal dots scattered along Florida Ave S and Fountain Heights.

Manage inventory assets deployed in the wild

Accurately inventory distributed assets, such as utility poles and road signs. Then find the accurate locations, sub-classify the equipment, and update your inventory.

Map showing red location markers and a sidebar with sign evaluation data, a street-view image, and descriptions.Map of highway interchanges and streets with many red dots scattered along roads and nearby areas.

Streamline infrastructure maintenance

By automating identification and condition assessments, transportation departments can yield significant cost savings while enhancing the safety and sustainability of the road network.

Aerial & Satellite Insights

Access global high-resolution overhead imagery to enhance your analysis and decision-making. Utilize Earth AI to scale operations while reducing in-the-field presence, risk, and costs. Combine with your data in Google Earth Engine for planetary-scale geospatial analysis.

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Aerial view of rectangular fields with a pink-shaded polygon and dots at its corners highlighting a specific area.Satellite view of coastal agricultural fields with a pink polygon highlighting a specific area of rectangular plots.

Make optimal site selections

Augment your site selection data with high-resolution aerial imagery to efficiently enable broad and deep site selection analysis. The richer but more efficient methodology enables more comprehensive considerations.

Track your asset inventory

Conduct comprehensive inventory audits of your properties and catalog their key surrounding attributes with advanced vision models. Compare against previous insights and historical imagery to detect changes and predict patterns.

Conduct preliminary risk assessments

Analyze commercial properties for underwriting risks related to natural and built environment factors - for example, proximity to combustible vegetation and roof conditions, respectively.

Aerial and Satellite Models

Securely license stand-alone models to build custom applications on any overhead imagery source, using zero-shot detection and natural language queries within your private cloud.

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Aerial view of city buildings with terracotta roofs, with a central area highlighted by a yellow rectangular frame.Aerial view of a city with red-tiled roofs, highlighting a specific urban area within a yellow rectangular border.

Apply Google-quality intelligence to your pixels

Bring and ingest imagery from any provider and run our models to extract value. This allows you to unify analysis across multi-satellite constellations and process private data that never leaves your control. Build unique, differentiated intellectual property and applications within your own secure cloud environment.

Build and commercialize unique solutions

Use pre-built models to build differentiated solutions and power your own downstream applications, from roadway maintenance platforms to global agricultural intelligence tools. Provide a unique user interface and business logic to your end customers.

Achieve state-of-the-art performance with less data

Find specific objects in your own or Google’s satellite and aerial imagery simply by describing them. Use it on your own data to build tools that locate anything using just text, without needing to train the AI beforehand. Find similar images, detect changes, or identify objects using natural language queries instead of complex code.

Interior of a data center with rows of illuminated server racks.Interior of a data center with rows of illuminated server racks.

Get more value from your data

Securely integrate your data and Google’s geospatial datasets into BigQuery, a fully managed, AI-ready data analytics platform. It’s designed to be multi-engine, multi-format, and multi-cloud.

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Extract valuable location insights

Seamlessly integrate analysis-ready imagery and datasets into your existing BigQuery workflows using data clean rooms.

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Achieve actionable answers

Harness the power of the Cloud ecosystem such as BigQuery ML, Vertex AI, and Looker Studio.

Geospatial Analytics

Access planetary-scale insights

Analyze vast geospatial datasets and build models with powerful AI tools to help you fully understand the real world and take action.

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Futuristic spaceship with blue engines hovers in front of the Washington Square Arch in New York City.
Product
Introducing new Imagery Grounding and Imagery Insights products
A dark-themed map of NYC with colorful ribbons representing flight paths over Brooklyn and Queens.
Product
New Capabilities in Roads Management Insights
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Product
Empowering industries with advanced intelligence

Power your geospatial analytics needs with Google

Explore data covering 250+ countries and territories

Unlock planetary-scale analysis with Earth Engine’s multi-petabyte catalog of satellite imagery and geospatial datasets.

280B+

Street View images of 100+ countries1

1,000+

earth observation datasets

300M+

POI data that covers 300M+ businesses and places1

Aerial satellite view of Earth’s surface, showing a mountainous landscape.
Get more value from your data

Securely integrate your data with Google’s datasets in BigQuery, an AI-ready analytics platform designed to be multi-engine, multi-format, and multi-cloud.

Rows of server racks in a large industrial data center with exposed overhead pipes and cool blue lighting.
Unleash the power of generative AI

Combine Google Earth AI's models, datasets and reasoning agents with structured and unstructured data for an entirely new class of analytical applications.

3D visualization of a city street with color-coded elements.
Save time with no-code geospatial tools

Integrate iconic imagery with professional-grade geospatial data, no-code tools, and Gemini to make better, faster decisions.

A green-shaded thematic map overlaying an aerial view of Los Angeles and Glendale, showing regional data distribution.
A pale blue solid circle within a thin light blue outline.
Datasets & Models

Combine unmatched geospatial data with the power of Earth AI to unlock valuable insights

Imagery

Earth AI transforms diverse imagery into actionable intelligence, helping you automate asset management, monitor environmental changes, and shift to proactive maintenance.

Street View Insights

Automate asset management and infrastructure insights, eliminating expensive field surveys.

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Street View insights showing a user the placement of stop signs on a city street.Street View insights showing a user the placement of stop signs on a city street.

Aerial and Satellite Insights

Scale operations and insights with high-resolution overhead imagery and AI solutions.

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An aerial photographic map of farm land near a body of water.An aerial photographic map of farm land near a body of water.

Aerial and Satellite Models

Apply Google’s state-of-the-art geospatial AI to your own proprietary imagery.

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A satellite image with a building selected using AI.A satellite image with a building selected using AI.

Population

Get the bigger picture of populations and places by using Earth AI to combine search trends, demographics, business mobility, and geospatial data.

Roads Management Insights

Build safer, smarter, and more efficient road networks using geospatial data.

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3D traffic flow map of Paris showing dense green lines visualizing movement patterns along city streets.Digital map of Paris with green 3D traffic ribbons and a data tooltip showing route ID, time, and normal speed.

Places Insights

Derive custom insights by safely joining your data with Google's comprehensive Places dataset in BigQuery.

Sign up
Collage of a London map with circular overlays showing computer code and two women collaborating on a laptop.Map of London with green data points and circular overlays showing code and two women working together.

Population Dynamics Insights

Train better predictive models with datasets derived from Google Search, maps, and weather trends.

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Map showing measles risk levels in the Northeastern US and Canada, with counties color-coded from low to high risk.US map showing measles risk levels by county, ranging from light blue (lowest) to dark blue (very high risk).
Tools

Analyze and visualize global data and imagery to move from questions to answers faster

Google Earth

Combine comprehensive imagery with professional-grade geospatial data, no-code tools, and Gemini.

Launch Earth
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Street View insights showing a user the placement of stop signs on a city street.Street View insights showing a user the placement of stop signs on a city street.

Earth Engine

A planetary-scale platform for Earth science data & analysis.

Learn more
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Heat map over a satellite view of a delta region showing similarity in embedding space from less to more similar.Satellite heat map of a delta showing similarity in embedding space, ranging from dark purple to light yellow.
Google Earth AI

Query the planet

Built on years of modeling the world and the power of Gemini, Google Earth AI is helping organizations of all kinds with everything from environmental monitoring to disaster response.

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Read the blog
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Cars cross a narrow bridge over vibrant green marshland surrounded by dense tropical hills and hazy skies.Narrow road crossing lush green wetlands with cars driving toward a dense tropical forest and hills.
“Google is the founder of much of the geospatial cloud-base ecosystem and shares Perennial’s mission of using advanced technologies and artificial intelligence to increase sustainability and climate resilience globally. Since migrating to Google Cloud and Earth Engine, our AI model iteration speed is 10 times faster, the volume of data per iteration is 10 times larger, and the geographic footprint our data covers is five times bigger.”
David Schurman
Perennial Co-founder and Chief Product Officer
A satellite view of agricultural land with overlaid data visualizing soil organic carbon levels.A satellite view of agricultural land with overlaid data visualizing soil organic carbon levels.
“Thanks to RMI, we can now enable our road authority customers with a clearer, more complete picture of their road network than ever before. RMI provides timely and actionable data, and together with our TraceMark Flow tool, we can provide customized traffic intelligence with coverage and accuracy not seen before. Ultimately this improves road safety and network efficiency for our customers and their citizens.”
Oliver Looker
General Manager at NGIS
TraceMarkFlow dashboard showing a hexagonal heatmap of unusual traffic congestion and a report list of top roads.Map of Thessaloniki, Greece, with a hexagonal heatmap overlay in yellow and red showing urban data density.
“Knowing where critical assets such as healthcare facilities or educational buildings are spatially distributed is essential for planning and responding to disasters. Places Insights is a game changer for organizations like the Global Earthquake Model Foundation that has the remit to calculate and communicate earthquake risk.”
Vitor Silva
Global Earthquake Model Foundation
Population density heat map of the Eastern Hemisphere, showing high concentrations in India, China, and Europe.A detailed data visualization map of Europe and Africa with labeled major cities, colored in shades of blue and green.
A pale mint green circle with a thin light green border.Light mint green circle surrounded by a thin matching outline on a white background.

Frequently asked questions

No, Google Earth AI is a Google-wide program representing a family of geospatial AI models and reasoning agents. Google Earth is a no-code geospatial analytics platform and one of several products through which Google Earth AI capabilities are available. Learn more about Google Earth AI here.

No, to gain access to these datasets, you’ll need to purchase a separate subscription from Google Maps Platform (sign up here).

All of these Insights datasets are available to purchase for use in BigQuery.

Embeddings in geospatial data are compact, numerical vector representations of complex, high-dimensional, and multi-temporal geographic information. They translate raw data—such as satellite imagery, GPS trajectories, and text—into a format that machine learning models can understand.  Population Dynamics Insights embeddings can be accessed here.

Yes, these datasets can be combined for analytical workflows in BigQuery. Read our documentation to learn more.

Yes, you can combine your proprietary data with these datasets, all under the control of your GCP environment. Read our documentation to learn more.

Yes, these datasets can be used in Gemini Enterprise Agent Platform for model training, fine-tuning and inference. For the specific datasets special service terms, read our documentation to learn more.

These datasets are in an analytics-friendly scale, format, and commercial structures. The APIs do not allow analytics use cases.

These datasets are sold as annual subscriptions, billed monthly. Sign up to learn more.

No, Google Earth AI is a Google-wide program representing a family of geospatial AI models and reasoning agents. Google Earth is a no-code geospatial analytics platform and one of several products through which Google Earth AI capabilities are available. Learn more about Google Earth AI here.

Yes, you can combine your proprietary data with these datasets, all under the control of your GCP environment. Read our documentation to learn more.

No, to gain access to these datasets, you’ll need to purchase a separate subscription from Google Maps Platform (sign up here).

Yes, these datasets can be used in Gemini Enterprise Agent Platform for model training, fine-tuning and inference. For the specific datasets special service terms, read our documentation to learn more.

All of these Insights datasets are available to purchase for use in BigQuery.

These datasets are in an analytics-friendly scale, format, and commercial structures. The APIs do not allow analytics use cases.

Embeddings in geospatial data are compact, numerical vector representations of complex, high-dimensional, and multi-temporal geographic information. They translate raw data—such as satellite imagery, GPS trajectories, and text—into a format that machine learning models can understand.  Population Dynamics Insights embeddings can be accessed here.

These datasets are sold as annual subscriptions, billed monthly. Sign up to learn more.

Yes, these datasets can be combined for analytical workflows in BigQuery. Read our documentation to learn more.

Unlock business and sustainability insights

Sign up
Logos for Google Maps Platform, Google Earth, and Google Earth Engine on dark gray backgrounds.
Wide-angle view of Earth from space showing land, coastline, and blue ocean along the planet's curved horizon.Aerial view of Earth's curve from space, showing coastlines and blue oceans fading into a bright white atmosphere.

  • 1 Street View has captured over 280 billion images of every single continent and over 100 countries. Imagery Insights uses Street View imagery and will launch initially in fewer countries.

  • Product availability, functionality and terms may differ for customers with billing addresses in the European Economic Area (EEA). Learn more

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