Welcome to the Location Data Blog!

Geospatial data and technology offers great opportunities for the development of modern tourism applications and businesses. Accurate Point-of-Interest (POI) data is crucial for effective trip planning, online bookings, and location-based services such as digital maps and navigation systems. On the other hand, analysis of mobile location data can offer comprehensive insights into travellers' movement and behavior, allowing businesses to derive actionable business intelligence and improve their offerings.

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 However, most public maps and widely used POI data sources are outdated.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.

Good quality data is crucial for the operational efficiency of location-based businesses. Location-based analyses used in critical decision-making processes rely on the quality and accuracy of data powering them.

However, location data supply chains are characterized by a lack of transparency and authenticity, because data vendors prioritize volume over quality. To ensure that our customers make the most of their data purchase, we have made significant strides in identifying and erasing fraudulent data within our datasets. One way we achieve this is by examining our own data sources and constantly monitoring activity within our mobility and POI data feeds. We use data visualisation and proprietary AI models to spot instances of low-quality or fraudulent data and remove them before reaching customers. 

A few weeks ago, we announced that Quadrant had collected 250,000 POIs through Geolancer. Today, we are excited to share that we have doubled the size of our database to over half a million POIs!  

The increasing demand for Geolancer's manually collected, recent, and attribute-rich data has encouraged our rapid expansion. Besides hitting the half-million mark, we are happy to report that three of the world's top 5 mapping companies are now leveraging Geolancer's industry-leading POI data.

Besides rapid growth, we also have other exciting news to share.

The ride-hailing industry is characterized by stiff competition and new businesses are entering the fray every year. By 2026, the market size for ridesharing services is expected to more than double compared to 2021. For companies to thrive in this fiercely competitive landscape, they must optimize their routing systems to expedite pick-ups, match demand, and deliver more rides per driver for maximum profitability.  

Ridesharing services need accurate and up-to-date POI data to function. However, the underlying maps that enable their operations are outdated, and changes in the physical world are not reflected nearly as quickly as needed. A lack of current and contextual information can cost rideshare companies in terms of lost driver productivity, rider churn, and overall operational inefficiency.