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Big Data in the Automotive Industry 2018-2030 - $5 Billion Market Opportunities, Challenges, Strategies & Forecasts - ResearchAndMarkets.com

September 3, 2018

DUBLIN--(BUSINESS WIRE)--Sep 3, 2018--The “Big Data in the Automotive Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts” report from SNS Telecom & IT has been added to ResearchAndMarkets.com’s offering.

The Big Data in the Automotive Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts report presents an in-depth assessment of Big Data in the automotive industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030.

This research estimates that Big Data investments in the automotive industry will account for more than $3.3 Billion in 2018 alone. Led by a plethora of business opportunities for automotive OEMs, tier-1 suppliers, insurers, dealerships and other stakeholders, these investments are further expected to grow at a CAGR of approximately 16% over the next three years.

Key Findings:

In 2018, Big Data vendors will pocket more than $3.3 Billion from hardware, software and professional services revenues in the automotive industry. These investments are further expected to grow at a CAGR of approximately 16% over the next three years, eventually accounting for over $5 Billion by the end of 2021. Through the use of Big Data technologies, automotive OEMs and other stakeholders are beginning to exploit vehicle-generated data assets in a number of innovative ways ranging from predictive vehicle maintenance and UBI (Usage-Based Insurance) to real-time mapping, personalized concierge, autonomous driving and beyond. Edge analytics, which refers to the processing and analysis of information closer to the point of origin, is increasingly becoming an indispensable capability for applications such as autonomous driving where real-time data - from cameras, LiDAR and other on-board sensors - needs to be acted upon instantly and reliably. Privacy continues to remain a major concern, and ensuring the protection of sensitive information - through creative anonymization and dedicated cybersecurity investments - is necessary in order to monetize the swaths of Big Data that will be generated by a growing installed base of connected vehicles and other segments of the automotive industry.

Key Topics Covered:

Chapter 1: Introduction

Chapter 2: An Overview Of Big Data

Chapter 3: Big Data Analytics

Chapter 4: Business Case & Applications In The Automotive Industry

Chapter 5: Automotive Industry Case Studies

Chapter 6: Future Roadmap & Value Chain

Chapter 7: Standardization & Regulatory Initiatives

Chapter 8: Market Sizing & Forecasts

Chapter 9: Vendor Landscape

Chapter 10: Conclusion & Strategic Recommendations

For more information about this report visit https://www.researchandmarkets.com/research/k237rm/big_data_in_the?w=4

View source version on businesswire.com:https://www.businesswire.com/news/home/20180903005120/en/

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Related Topics:Big Data

KEYWORD:

INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT AUTOMOTIVE GENERAL AUTOMOTIVE

SOURCE: Research and Markets

Copyright Business Wire 2018.

PUB: 09/03/2018 07:04 AM/DISC: 09/03/2018 07:04 AM

http://www.businesswire.com/news/home/20180903005120/en

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