Currently, vehicles use GPS antenna systems to send their real-time location information to GPS satellites. These satellites then transmit the signal to access points and servers. However, this technology is limited to tracking the location and status of vehicles. Cloud computing, on the other hand, can enhance the effectiveness of retrieving information about stolen vehicles compared to GPS-based trackers.
By utilizing cloud computing, tracking data can be sent to a cloud server through a GSM-enabled device. Storing all the data in a centralized server maintained in the cloud allows authorized users to access this information through a web portal. This web portal enables users to retrieve real-time data about their vehicles. Additionally, cloud computing facilitates data access from any remote location. Even if a vehicle owner loses their cell phone, they can still retrieve the real-time location of their vehicle from the cloud servers. This presents a significant opportunity for market players in the coming years.
This approach of using cloud computing offers a more effective way to retrieve information about stolen vehicles compared to traditional GPS systems. With GPS antennas, vehicles send their real-time location information to satellites, which then relay the signal to access points and servers. However, this method has limitations, primarily focusing on tracking a vehicle's location and status.
Cloud computing changes the game by allowing tracking data to be transmitted to a cloud server through GSM-enabled devices. The key advantage lies in centralized data storage within the cloud. Authorized users can access this data through a web portal, gaining real-time insights into their vehicles. What makes cloud computing even more advantageous is its accessibility from any remote location. Even if a vehicle owner loses their cellphone, they can still retrieve their vehicle's real-time location from the cloud servers. This presents a significant opportunity for market players in the years to come.
Covered Aspects:Report Attribute/Metric | Details |
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Segment Outlook | Technology, Component, Vehicle Type, and Region |
ยฉ 2025 Market Research Future ยฎ (Part of WantStats Reasearch And Media Pvt. Ltd.)