This map data product delivers high-precision, real-time, and historical GPS event records across North America. It is designed for organizations that require granular spatial data for applications such as mapping, movement tracking, retail analytics, and infrastructure planning.

Data Contents: Latitude & longitude coordinates Timestamp (epoch & human-readable date) Device ID (MAID: IDFA/GAID) Country code (ISO3) Horizontal accuracy (85% fill rate) Optional metadata: IP address, mobile carrier, device model

Access & Delivery: Available via API with custom polygon queries (up to 10,000 tiles) for targeted location insights. Data can be delivered hourly or daily in JSON, CSV, or Parquet formats, through AWS S3, Google Cloud Storage, or direct API access. Historical coverage extends back to September 2024, with 95% of events delivered within 3 days for near-real-time analysis.

Compliance & Flexibility: GDPR and CCPA compliant Credit-based query pricing for scalability Custom schema mapping and folder structure available

Applications: Map creation and enhancement POI visitation analytics Urban mobility and transit modeling Retail site selection and catchment area mapping Real estate and zoning analysis Geospatial risk and environmental planning

Discover the explosive growth of the high-precision mapping market, projected to reach $10 billion by 2033. This in-depth analysis explores market drivers, trends, restraints, key players (HERE, TomTom, Mobileye), and regional breakdowns, providing valuable insights for investors and businesses. Learn about the impact of autonomous vehicles and smart city initiatives on this dynamic sector.

This geospatial dataset delivers high-accuracy GPS event streams from millions of connected devices across Asia, enabling advanced mobility, mapping, and location intelligence applications. Sourced from tier-1 app developers and trusted suppliers, it provides granular insights for commercial, government, and research use.

Each record includes: Latitude & Longitude coordinates Event timestamp (epoch & date) Mobile Advertising ID (IDFA/GAID) Horizontal accuracy (~85% fill rate) Country code (ISO3) Optional metadata: IP address, carrier, device model

Access & Delivery API with polygon queries (up to 10,000 tiles) Formats: JSON, CSV, Parquet Delivery via API, AWS S3, or Google Cloud Storage Hourly or daily refresh options Historical backfill from September 2024 Credit-based pricing for scalability

Compliance Fully compliant with GDPR and CCPA, with clear opt-in/out mechanisms and transparent privacy policies.

Use Cases Advanced mapping and GIS solutions Urban mobility and infrastructure planning Commercial site selection and market expansion Geofencing and targeted advertising Disaster response planning and risk assessment Transportation and logistics optimization

This map data product provides accurate, real-time, and historical GPS event records across Europe. Ideal for applications in mapping, spatial analytics, and movement tracking, the dataset delivers location intelligence with granular detail and high data quality.

Data Composition Each record contains: GPS coordinates (latitude, longitude) Timestamp (epoch & date) Device ID (MAID: IDFA/GAID) Country code (ISO3) Horizontal accuracy (85% fill rate) Optional: IP address, carrier, device model

Access & Delivery The dataset is available via API with polygon queries (up to 10,000 tiles), enabling targeted spatial analysis for POIs, regions, or entire cities. Data can be delivered hourly or daily in JSON, CSV, or Parquet formats, via AWS S3, Google Cloud, or direct API access. Historical backfill is available from September 2024.

Key Attributes

Real-time updates with 95% of events available within 3 days Custom schema mapping & folder structures GDPR & CCPA compliant data sourcing and opt-out processes Credit-based pricing for scalability Applications Map creation and enhancement Urban mobility mapping Retail catchment analysis Transport route optimization POI mapping and visitation analytics Geospatial risk and impact studies

This map data product delivers accurate, real-time, and historical GPS event data from across Africa, including major cities, rural regions, and transit corridors. The dataset is built for mapping, spatial analysis, mobility research, and commercial decision-making.

Data Attributes Latitude & longitude coordinates Timestamp (epoch & human-readable date) Device ID (MAID: IDFA/GAID) Country code (ISO3) Horizontal accuracy (85% fill rate)

Optional: IP address, mobile carrier, device model

Access & Delivery Data is available via API with polygon-based querying (up to 10,000 tiles) for precise POI or region targeting. Delivery options include hourly or daily updates in JSON, CSV, or Parquet formats, through AWS S3, Google Cloud, or direct API access. Historical coverage extends back to September 2024, and 95% of events are available within 3 days for near-real-time analysis.

Compliance & Customization GDPR & CCPA compliant sourcing Credit-based pricing for scalable usage Custom schema mapping & folder structures on request Applications Base mapping and geospatial visualization Infrastructure planning and asset tracking Retail site selection and catchment analysis Transport route optimization Urban mobility and zoning analysis Risk and environmental planning

A collection of 13 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

MKDAChi2 meta analysis with FDRCorrector

This map data product delivers precise, high-quality GPS event datasets covering the entirety of South America, from major urban centers to rural areas and transportation corridors. It is purpose-built for organizations needing reliable geospatial data for mapping, infrastructure planning, mobility studies, and commercial decision-making.

Data Attributes Latitude & longitude coordinates Timestamp (epoch & formatted date) Device ID (MAID: IDFA/GAID) Country code (ISO3) Horizontal accuracy (85% fill rate) Optional: IP address, device model, mobile carrier

Access & Delivery Query Method: Polygon queries (up to 10,000 tiles) for precision targeting Delivery Cadence: Hourly or daily Formats: JSON, CSV, Parquet (Snappy/GZIP compression)

Endpoints: AWS S3, Google Cloud, or API Historical Coverage: Since September 2024 Freshness: 95% of events available within 3 days

Compliance & Customization Fully GDPR and CCPA compliant Credit-based pricing to scale usage Optional custom schema mapping and folder structure

Applications Urban planning & smart city development Retail location and catchment area analysis Infrastructure monitoring and asset tracking Environmental and land use mapping Logistics and transport route optimization Risk assessment and disaster planning

The automotive navigation maps market is booming, projected to reach $69.57 billion by 2033, driven by ADAS, autonomous vehicles, and connected car growth. Explore market trends, key players (Google, HERE, TomTom), and regional insights in this comprehensive analysis.

Data vizualization model for Insights project

We analyzed 100 New York restaurants on Google Maps to show how reviews affect revenue and ratings, with data-backed steps for quick wins so busy teams act fast.

A collection of 5 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

MKDADensity meta analysis with FDRCorrector

Regression models with SBC and p-value with task success, comfort, and confidence ratings as the dependent variables (see S4–S6 Tables for odds ratios of each model).

The CRM data story used in the Retail TouchPoints webinar in June 2018 and at UC 2018

The global Digital Map Market approximate to surpass USD 107.79 billion, with a forecasted CAGR of 14.27% By 2034, according to projections.

Explore the dynamic Digital Map Service market, revealing key insights, growth drivers, and future trends for industries like transportation, automotive, and smart cities. Discover market size and CAGR projections.

The Digital Moving Map System (DMMS) market is booming, driven by autonomous vehicles, aviation, and military applications. Explore market size, growth projections (2025-2033), key players, and regional trends in this comprehensive analysis. Discover the impact of 3D mapping and technological advancements shaping the future of DMMS.

In 2024, Market Research Intellect valued the High-precision Map Market Report at USD 3.5 billion, with expectations to reach USD 10.5 billion by 2033 at a CAGR of 16.5%.Understand drivers of market demand, strategic innovations, and the role of top competitors.

Regression model with task success as the dependent variable (see S3 Table for odds ratios).

The high-accuracy map market is booming, driven by autonomous vehicle technology. Explore market size, CAGR, key players (HERE, TomTom, Baidu), regional trends, and future growth projections for this rapidly expanding sector. Discover insights into second-level and minute-level map updates and their impact on ADAS and self-driving cars.

Sources:Johns Hopkins University. 2020. “Mapping 2018-nCoV.” January 23. https://systems.jhu.edu/research/public-health/ncov/)

Apple. 2020. “Mobility Trends Reports.” https://www.apple.com/covid19/mobility