Tuesday, December 11, 2018

New automotive industry trends spotted after researching the Auto Ancillary Market in India

In these last few years, a lot of changes have been introduced in the car manufacturing industry. The most obvious one will be the gradual evolution of vehicles themselves, from four-wheeler cars equipped with the very basic of function to connected cars powered by Big Data, cloud computing and the IoT sphere.

What’s making all of that possible are the technological innovations and developments being done today, as discovered by this report on the Auto Ancillary Market in India. Further analysis showed that various auto components are being optimized through platforms that operate using big data analytics.



The reason for that is that it helps the OEM create qualitative advantages that they require to work in a very intensely tough market. Competitiveness aside, manufacturing technologies like this will not just improve driver experience but change supply chain operations and even the traditional automobile manufacturing processes. 

Technology being designed for automobiles are the next big trend. These are advanced driver assistance systems being integrated into the vehicle infrastructure. The aim of using such systems is to improve driver experience and in time will lead to the introduction of autonomous or self-driving cars onto roads.

The future will see artificial intelligence adaptations of these driver systems, which will play a big role in introducing the car as a hub idea. In this concept of vehicles, internet and data connections in use today like GPS, 4G, WiFi, Bluetooth and 5G will be an integral part or driving, ride-hailing even mobility as we know it.

The reality of all that relies on a very strong and well-connected internet or IoT infrastructure. Of course, infrastructure of this nature is expensive to build, adding to which many countries may not be able to provide citizens with it. Experts see this as the last step in making connected, autonomous cars possible, but those more real-world constraints could turn it into a big obstacle instead.

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