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The Location Intelligence ecosystem in Asia-Pacific

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The intricate web of connected devices and applications produces a lot of location data. Used in the proper manner, accurate and timely geospatial intelligence can be leveraged to boost operational efficiency,ย improve government and public services, increase marketing and advertising ROI, and expand services to underserved areas.

Recently, COVID-19 has changed how users and service providers interact in the physical world. With the popularity of at-your-door services and digital marketplaces, it is safe to say that we live in an age when consumer services rely heavily on the digital availability of geospatial information.

Informed by their expertise in the location data industry, Quadrant, a location data and solutions company based in Singapore, has put together an exhaustive market map of companies offering geospatial data and related intelligence services in the Asia-Pacific.

To make the most of location-based technology, you need to find the right partners. This market map appropriately categorizes location-based service providers so you can find the right partner for their specific use case.

Even though the map focuses on companies operating globally, their coverage of services includes the APAC (Asia Pacific) region. The companies mentioned here might also be operating in more than one category or a different line of business thatโ€™s not mentioned here.

The companies highlighted in this map include geospatial businesses of all scales. The market map has been segregated into three main categories, which are further branched into three sub-categories of their own.

Also Read: How artificial intelligence and location intelligence are changing lives

Data โ€” mobile, POI, and geospatial

Data is the raw material for all geospatial applications. These companies collect data from various sources and refine the data into a usable format for enterprises and end-users. Raw location data is consumed across industries for various purposes. It can be combined with various other types of data (demographics, purchase, census etc.) to add more context to the insights derived from it. Raw location data can be derived from in-app SDKs, Bidstream, WiFi connections, beacons, and other sources of varying quality.

Location analytics โ€” analytics, intelligence platforms, and consulting

Companies in this category specialize in converting raw data into actionable information and insights for their customers. Some of these organizations translate raw location data into strategic business decisions. These companies often use machine learning, analytical solutions, and algorithms, and provide output in a format useful to the end-users.

Mapping and navigation โ€” visualisation, mapping and navigation

These companies use location data to power applications that make usersโ€™ day-to-day lives easier. This category also includes data visualization platforms that help translate complex data into charts, graphs, and maps, so location data can be easily understood by non-technical decision-makers. While most players in this category are mapping and navigation apps, they can also be used by location-based businesses to support their operations and logistics.

Also Read: If Location Intelligence is the answer; does it matter what the question is?

The COVID-19 pandemic drastically altered business models and peopleโ€™s movement and consumption patterns, increasing the need for accurate mobile location data. The situation is similar with Point-of-Interest databases, which became rapidly outdated.

Independent and only temporary halted by the pandemic, Asia-Pacific has been going through rapid urbanization. Both consumers and businesses in these changing neighborhoods rely on geospatial intelligence to find and deliver services.

Location data and corresponding intelligence services are more important than ever for governments and private businesses to cope with the changes and adapt to the new normal. As a result, data providers need to reassess their business practices to accommodate these newfound needs.

This map can potentially help data buyers and industry players form fruitful relationships in the region.

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