Impact of Big Data on the Automotive Industry - Explicit Savings of About $800 per Vehicle per Year

LONDON, Dec. 2, 2013 -- Big data is not a new phenomenon in the automotive industry. The increasing presence of connectivity, with short-to mid-terms promising high-speed/high-bandwidth connectivity like LTE (long term evolution) in the car, is one of the key reasons for pursing big data in the industry. The shift is taking place due to the need to cut down on spiralling warranty costs and to create a data sharing network between the dealer, customer, OEM and others.

Frost & Sullivan is organising a web conference, entitled Impact of Big Data on the Automotive Industry, which is taking place on Tuesday, 10 December 2013, at 3.00 p.m. GMT. Frost & Sullivan Program Manager, Niranjan Manohar, and Global Practice Director Automotive & Transportation, Sarwant Singh, will discuss emerging trends and opportunities for the Big Data Automotive Industry.

To participate in this complimentary web conference, please email Katja Feick at katja.feick@frost.com with your full contact details. Upon receipt of the above information, a registration link will be e-mailed to you. You may also register to receive a recorded version of the briefing at anytime by submitting the aforementioned contact details.

Participants of this web conference will learn about key big data features and services, understand societal, technological and other related challenges, as well as identify ways to evolve under the existing value chain.

"There is an increasing need to cut down spiralling warranty costs, especially the ones caused due to software failure, which was the reason for 60 percent of the recalls," says Mr. Manohar. "Original equipment manufacturers (OEMs) need data related to the vehicle's age, performance, and failure scenarios to reduce warranty spend."

Frost & Sullivan expects 60 percent of the North American OEMs to come up with their big data strategy and offerings in the next two years enabled by the move to high bandwidth embedded connectivity technologies like LTE. OEMs develop different approaches to reach their targets; the killer OEMs will be those that can use predictive data analytics to impact a 1-3 percent reduction in warranty costs along with other important software and firmware over-the-air-updates.

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