Market Overview

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

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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

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