Welcome to the Location Data Blog!

Location-based technology and services, such as ride-hailing, online marketplaces, and food delivery have become a vital part of daily life. The effectiveness of these services depends on accurate, recent, and comprehensive point-of-interest (POI) data. However, most public maps and widely used POI data sources are outdated.

Experts predict that the need for location-based services will continue to increase, with a projected growth rate of 24.3% and to an industry market cap of over $300 billion by 2030. As the demand for these services grows, the need for reliable mapping solutions becomes increasingly important.

Cities worldwide are dealing with rapid urbanization, changing travel patterns, and most recently the aftermath of a global pandemic. As cities sprawl outwards to form low-density localities, it is difficult and expensive to serve these suburbs. Transit systems were also one of the worst-hit sectors by Covid-19, and post-pandemic recovery has been complicated due to remote and hybrid working. 

Footfall analysis is a powerful form of business intelligence that allows brands to understand the visitation patterns around various POIs (Points-of-Interest). For retail stores, restaurants, and other POSs, footfall analysis can highlight important patterns such as the busiest time of day, competitor traffic analysis, and more. Whereas for government and public agencies, footfall analysis can highlight the consumption and demand of public services for the betterment of citizens’ lives.

Businesses catering to a community need to keep up with changes in the region's population, demographics, and cultural traits to remain relevant. In addition, urban spaces need to be constantly redeveloped to accommodate changing movement patterns. For example, real estate companies need movement data to discern the residential needs in growing neighborhoods. Public transport authorities need to monitor travel patterns to assess demand and expand transit services to underserved areas. The analysis of mobile location data can provide a clear image of human mobility, and changes in public interaction with businesses and government facilities.

Point-of-Interest (POI) data is the foundation for digital maps that enable on-demand service delivery models in navigation, logistics, and other industries. POI data is instrumental for businesses to dynamically match consumers with the right services and places with relevant context. The application and analysis of POI data should be a top priority for all location-based businesses to improve operational efficiency, save costs, and stay ahead of competition.