Google Maps Platform’s cover photo
Google Maps Platform

Google Maps Platform

Technology, Information and Internet

Mountain View, CA 87,180 followers

Build geospatial apps with robust APIs and SDKs, powered by global data that’s updated 100 million times daily.

About us

Over the past 20 years, mobile and location has transformed what businesses can do and how their customers experience the world. Google Maps Platform has been fortunate to play a role in this evolution. Explore how you can visualize and understand the real world with our products. Learn how we can help you immerse audiences in new ways, improve user experiences and operations, and access insights to make faster, more informed business and sustainability decisions. Create geospatial experiences and applications with robust APIs and SDKs, access insights and enable decisions with rich, analysis-ready geospatial datasets, and utilize no-code geospatial evaluation and analysis tools from Google Earth to enable faster, more holistic decision making and seamless collaboration. Go beyond the map with Google Maps Platform. Follow to get the latest news and insights, and celebrate 20 years of geospatial progress with Google Maps Platform, Google Earth and Google Earth Engine.

Website
mapsplatform.google.com
Industry
Technology, Information and Internet
Company size
10,001+ employees
Headquarters
Mountain View, CA

Updates

  • 🧬 Cut the "data wrangling tax" from your geospatial models. See how Population Dynamics Insights (PDI) from Earth AI streamlines your workflow: https://goo.gle/4Bi2r73 Manual feature engineering is often the biggest bottleneck in machine learning. PDI delivers analysis-ready, 330-dimensional embeddings directly into BigQuery. These embeddings distill millions of signals — from Google Search trends and Maps popular times to local air quality—into concise vectors updated monthly. Why it matters for ML teams: ➡️ Zero Feature Engineering: Drop high-dimensional context into your models instantly. ➡️ Hyper-local Granularity: Insights are indexed at a 3km² to 6km² level. ➡️ Global Standard: A unified foundation for spatial intelligence across 17 countries. #MachineLearning #BigData #GoogleCloud #DataEngineering #AI

    • A diagram titled "Population Dynamics Insights" illustrates how five data sources—Search Trends, Mobility, Weather, Air Quality, and Maps—are funneled into a central brain icon. A blue arrow points from this center to an output box labeled "ML-ready embeddings." Text at the bottom explains that this process distills data about human behavior into concise, machine-learning-ready embeddings for every location.
  • 🚗 Distance tells you how far away something is. Travel time tells you if it’s actually reachable. Explore the interactive demo and documentation: https://goo.gle/4z3sXzh Whether you're dispatching a delivery fleet, routing drivers to EV charging stations, or helping home buyers map their morning commute, straight-line distance rarely reflects real-world travel conditions. With the Google Maps Platform Isochrones API, developers can compute dynamic, network-aware reachability polygons based on real-time traffic and transit conditions—unlocking smarter routing and location-aware experiences across industries: 🚚 Delivery zone optimization: Define dynamic service boundaries based on live road conditions and driver availability to meet tight delivery windows. 🔋 Fleet dispatch & mobility: Route drivers to EV charging hubs or customer stops reachable within precise travel-time thresholds. 🏡 Commute-based real estate: Enable property hunters to search for homes based on actual commute times to work or school, rather than radius circles. 🏙️ Urban planning & transit: Analyze multi-modal transit coverage, assess service accessibility, and optimize city transit routes. Take visual, travel-time-based decision-making to the next level. #GoogleMapsPlatform #Developers #Mobility #Logistics #LastMile #UrbanPlanning #Geospatial

    • A map of Jakarta features a central area highlighted in light blue with a prominent red location pin placed in its center.
  • 🧠 Neurun's "digital brain" helped 100K+ fans enjoy the New York/New Jersey region during the 2026 FIFA World Cup. Powered by Grounding with Google Maps and 3D Maps, the familiar interface and accurate, real-time info helped users from more than 200 countries dive into the experience ➡️ https://goo.gle/4jxzc9U By developing custom API wrappers around Google Maps Platform APIs, Neurun along with Google Cloud Startups, partner Searce Inc, and the NYNJ World Cup Host Committee were able to quickly build the NYNJ World Cup Concierge. 🎉 Now, New York City Tourism + Conventions is keeping this infrastructure active year-round for city programming. Learn how it all came together at the link above.

  • 🌍💡 Building something exciting with AI, Earth, or geospatial data? Join us for a special Developer Community Day at the Google office in San Francisco, CA on December 3rd! ➡️ https://goo.gle/4ig8Dom Featuring a keynote by Paige Bailey of Google DeepMind on physical AI, hands-on workshops, and direct product feedback sessions with our engineering team. Space is limited. Apply now at the link to secure your spot.

    • A colorful linear illustration implies topography. The Google Maps Platform logo and name is accompanied by text:
Community Day
Build, Ask, Explore with AI
December 3rd 2026, San Francisco
  • ⏱️📍 To answer critical questions like "What is reachable within 15 minutes?" logistics teams need boundaries that reflect the actual ground truth of the road network. Learn how the Isochrones API is helping to solve map reachability 👉 https://goo.gle/4BdMOgY In complex urban environments, relying on simple radius circles rarely tells the full story. Powered by the same traffic and routing data behind Google Maps, the Isochrones API generates network-aware boundaries based on dynamic travel times rather than straight-line distance: ⏱️ Dynamic reachability boundaries: Calculate precise zones reachable within up to 60 minutes for driving and up to 120 minutes for walking or cycling—factoring in real-time road networks and traffic. 🔄 Inbound coordination with reverse isochrones: Model inbound travel times to optimize scheduling and coordinate multi-driver returns to central fulfillment hubs or depots. 🗺️ Developer-ready GeoJSON: Easily render visual polygons to automate dispatch zones, define dynamic service boundaries, and improve ETA reliability. Turn maps into actionable, visual routing decisions. #GoogleMapsPlatform #Logistics #LastMile #Routing #Developers #Geospatial

    • A map of Bengaluru, India, with the city's name displayed in large English and Kannada script in the center. A light blue shaded overlay covers the central part of the city, with a red location pin placed near Sri Chamarajendra Park. Various neighborhood labels like Indiranagar and Koramangala, along with icons for landmarks like temples and malls, are scattered across the map.
  • Streamline your asset management and site operations with Google imagery. ✅ Sending teams into the field without pre-trip context is costly. Street View Insights offers three tailored imagery options to help your teams audit and plan from their desks. Try all three Street View Insights imagery variants today using our Agentic Playground! https://lnkd.in/e5T9U4Jj 1️⃣ For asset inventory: Use Cropped (GA) for an asset-focused view of poles and road signs, with detailed location metadata. 2️⃣ For maintenance audits: Use Full Frame (GA) to see the asset within its full environmental context, including nearby vegetation and attachments. 3️⃣ For logistics & unique assets: Use Panoramic (Preview) for a “snapshot in time” scene analysis. Recreate a 360° view of a scene via 7 images for DIY detections of public assets (discrete or continuous) and automate site-visit prep to prevent inefficiencies (misdeliveries, having the wrong equipment, etc.). Three variants. One powerful way to streamline your operations and eliminate expensive truck rolls and unproductive site visits. #DigitalTwin #GridModernization #StreetViewInsights #Telco #Logistics #SitePlanning

  • One ridge or tall roofline between two points can block a wireless link or leave a blind spot on a site: https://goo.gle/47f1puN In Poland, cybersecurity professional Jacek Hojan uses 3D imagery, elevation profiles, and measurement tools in Google Earth to check structure heights and terrain clearance before scheduling a field visit: "Google Earth allows me to assess object heights and analyze lines of sight remotely, saving the time and expense of a physical site visit. Whether I'm assessing wireless signal ranges or identifying key areas of interest for safety or cybersecurity risks, I get the critical spatial context I need to make decisions right from my desk." - Jacek Hojan, Cybersecurity Professional

  • We couldn't be more excited for this partnership! Great urban planning, meet detailed datasets with Roads Management Insights. 🤝 Learn more ➡️ https://lnkd.in/erkmfsQf

    Partnering with cities to improve infrastructure for their citizens is easily some of the most rewarding work we do. Excited to share the latest in Japan 🇯🇵 We're partnering with Osaka Prefecture to bring helpful information from Google Maps Platform into urban planning. With datasets like Roads Management Insights, we're aiming to help city planners model traffic flow, ease congestion, and build smarter resilient public infrastructure over the next few years. Big thank you to Governor Hirofumi Yoshimura and Osaka for the warm welcome!

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