Big Data in the Automotive Industry Market 2018-2030

Big data is rapidly getting traffic from diverse sectors, between real-time and expansion of historical data. It gets from the sources such as connectivity devices, web, social media, sensors, logs files, and transaction applications. The automotive industry is not exempt from this trend. Big Data has found a host of applications ranging from product design and products. It predicts vehicle maintenance and autonomous driving.

Key Findings:

The report contains the key results. In 2018, Big Data Vendors earn more than $3.3 billion pockets from hardware, software and professional services revenue in the automobile industry. These investments are estimated to increase at around 16% at the CAGR in the next three years.

Eventually, this reaches $5 billion by 2021. Automated OEMs and other shareholders have started using the vehicle through the use of Big Data Technologies. It also includes realistic mapping, personalized conveyor, independent driving and outside speculating vehicle maintenance and many innovative ways-derived data assets from UBI (usage-based insurance).

The Exit Analytics refers to the processing and analysis of the source information, cameras, LiDAR, and other onboard sensors. It helps real-time data to become more unwanted for applications such as autonomous driving. Immediately and reliably act on it.

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