{"id":11090,"date":"2026-03-24T16:33:40","date_gmt":"2026-03-24T16:33:40","guid":{"rendered":"https:\/\/www.oxts.com\/?p=11090"},"modified":"2026-04-09T15:14:57","modified_gmt":"2026-04-09T15:14:57","slug":"top-9-use-cases-for-mobile-mapping-in-2026-2","status":"publish","type":"post","link":"https:\/\/www.oxts.com\/de\/top-9-use-cases-for-mobile-mapping-in-2026-2\/","title":{"rendered":"Top 9 Anwendungsf\u00e4lle f\u00fcr Mobile Mapping im Jahr 2026"},"content":{"rendered":"\n
\n
\n
\n \n \n \n \n\n\n \n\n\n \n\n\n \n\n
The demand for mobile mapping services globally is rising \u2013 the market size is projected to reach $89.74 billion by 2030, from $31.78 billion in 2023.<\/h5>\n\n\n
\n

This demand is being driven by a few factors, including advances in mobile mapping technology, falling costs for entry level equipment, and new solutions that reduce the complexity of building and implementing mobile mapping systems. The knock-on effect of this is that the equipment gets into the hands of more people who in turn use it for more unique projects.<\/p>\n

In this blog,\u00a0<\/span>we\u2019re<\/span>\u00a0<\/span>taking a look<\/span>\u00a0at\u00a0<\/span>nine<\/span> mobile mapping applications that we think will be important in the next five years.<\/span><\/span><\/p>\n

1. Smart cities\u00a0<\/span><\/h5>\n

The rise in IoT devices and the mobile networks to support them means that smart cities are closer to reality than ever before and great use cases for mobile mapping. GIS mapping will be vital to these smart cities, as many of the services will rely on the system knowing the position of each component.<\/span><\/p>\n

Consider, for instance, an example where a cyclist is injured in a fall. Their smartwatch signals that they have had a\u00a0fall, and\u00a0monitors their vitals. As it looks likely they need medical\u00a0assistance, the watch automatically contacts the emergency services. An ambulance is dispatched, with the route to the pedestrian automatically calculated. At the same time, traffic lights along the route hold traffic to enable the ambulance to respond as quickly as possible.<\/span>\u00a0<\/span><\/p>\n

In that example,\u00a0an accurate\u00a0map of the city, with the position of the ambulance station and all the traffic lights, is vital for the system to function as expected.<\/span>\u00a0<\/span><\/p>\n

This is an area where emerging mobile mapping technologies are crucial. It has always been challenging to get\u00a0accurate\u00a0position data in cities due to the large volume of tall metal buildings (a phenomenon known as urban canyons), but\u00a0new technologies\u00a0such as\u00a0LiDAR Boost\u00a0make it possible to get\u00a0accurate\u00a0position data in cities.<\/span><\/p>\n

Learn more:\u00a0<\/span><\/span>How LiDAR Boost supports GNSS-denied navigation<\/span><\/span><\/a><\/span><\/p>\n\n <\/div>\n\n <\/div>\n <\/div>\n \n \n <\/div>\n\n\n

\n
\n \n
\n
\n
\n \n <\/div>\n \n
\n
\n