Big Data in the Automotive Industry: 2017-2030 - $2.8 Billion Opportunities, Challenges, Strategies & Forecasts - Research and Markets

DUBLIN--()--Research and Markets has announced the addition of SNS Research's new report "Big Data in the Automotive Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & Forecasts" to their offering.

The Big Data in the Automotive Industry: 2017 - 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 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 4 application areas, 18 use cases, 6 regions and 35 countries.

Big Data originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The automotive industry is no exception to this trend, where Big Data has found a host of applications ranging from product design and manufacturing to predictive vehicle maintenance and autonomous driving.

The author estimates that Big Data investments in the automotive industry will account for over $2.8 Billion in 2017 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 12% over the next three years.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Key Questions Answered

- How big is the Big Data opportunity in the automotive industry?

- How is the market evolving by segment and region?

- What will the market size be in 2020 and at what rate will it grow?

- What trends, challenges and barriers are influencing its growth?

- Who are the key Big Data software, hardware and services vendors and what are their strategies?

- How much are automotive OEMs and other stakeholders investing in Big Data?

- What opportunities exist for Big Data analytics in the automotive industry?

- Which countries, application areas and use cases will see the highest percentage of Big Data investments in the automotive industry?

Key Findings

- In 2017, Big Data vendors will pocket over $2.8 Billion from hardware, software and professional services revenues in the automotive industry. These investments are further expected to grow at a CAGR of approximately 12% over the next three years, eventually accounting for over $4 Billion by the end of 2020.

- In a bid to improve customer retention, automotive OEMs are heavily relying on Big Data and analytics to integrate an array of data-driven aftermarket services such as predictive vehicle maintenance, real-time mapping and personalized concierge services.

- In recent years, several prominent partnerships and M&A deals have taken place that highlight the growing importance of Big Data in the automotive industry. For example, tier-1 supplier Delphi recently led an investment round to raise over $25 Million for Otonomo, a startup that has developed a data exchange and marketplace platform for vehicle-generated data.

- Addressing privacy concerns 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:

1: Introduction

2: An Overview of Big Data

3: Big Data Analytics

4: Business Case & Applications in the Automotive Industry

5: Automotive Industry Case Studies

6: Future Roadmap & Value Chain

7: Standardization & Regulatory Initiatives

8: Market Analysis & Forecasts

9: Vendor Landscape

10: Conclusion & Strategic Recommendations

For more information about this report visit http://www.researchandmarkets.com/research/pdkbsc/big_data_in_the.

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716
Related Topics: Big Data

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716
Related Topics: Big Data