Big Data in the Automotive Industry: Opportunities, Challenges, Strategies & Forecast 2030
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Latest Research Report Big Data in the Automotive Industry: 2017 -
2030 - Opportunities, Challenges, Strategies & Forecasts provides
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About
Big Data in the Automotive Industry Market
“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.
SNS Research 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.
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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.
The report comes with an
associated Excel datasheet suite covering quantitative data from all
numeric forecasts presented in the report.
The report covers the following
topics:
Big Data ecosystem
Market drivers and barriers
Enabling technologies,
standardization and regulatory initiatives
Big Data analytics and
implementation models
Business case, key applications
and use cases in the automotive industry
30 case studies of Big Data
investments by automotive OEMs and other stakeholders
Future roadmap and value chain
Company profiles and strategies of
over 240 Big Data vendors
Strategic recommendations for Big
Data vendors, automotive OEMs and other stakeholders
Market analysis and forecasts from
2017 till 2030
Forecast Segmentation
Market forecasts are provided
for each of the following submarkets and their subcategories:
Hardware, Software &
Professional Services
Hardware
Software
Professional Services
Horizontal Submarkets
Storage & Compute
Infrastructure
Networking Infrastructure
Hadoop & Infrastructure
Software
SQL
NoSQL
Analytic Platforms &
Applications
Cloud Platforms
Professional Services
Application Areas
Product Development, Manufacturing
& Supply Chain
After-Sales, Warranty & Dealer
Management
Connected Vehicles &
Intelligent Transportation
Marketing, Sales & Other
Applications
Use Cases
Supply Chain Management
Manufacturing
Product Design & Planning
Predictive Maintenance &
Real-Time Diagnostics
Recall & Warranty Management
Parts Inventory & Pricing
Optimization
Dealer Management & Customer
Support Services
UBI (Usage-Based Insurance)
Autonomous & Semi-Autonomous
Driving
Intelligent Transportation
Fleet Management
Driver Safety & Vehicle Cyber
Security
In-Vehicle Experience, Navigation
& Infotainment
Ride Sourcing, Sharing &
Rentals
Marketing & Sales
Customer Retention
Third Party Monetization
Other Use Cases
Regional Markets
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Asia Pacific
Eastern Europe
Latin & Central America
Middle East & Africa
North America
Western Europe
Country Markets
Argentina, Australia, Brazil,
Canada, China, Czech Republic, Denmark, Finland, France, Germany,
India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico,
Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia,
Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden,
Taiwan, Thailand, UAE, UK, USA
Key Questions Answered
The report provides answers to
the following key questions:
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
The report has the following
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.
List of Companies Mentioned
1010data
Absolutdata
Accenture
ACEA (European Automobile
Manufacturers’ Association)
Actian Corporation
Adaptive Insights
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Alibaba
Alliance of Automobile
Manufacturers
Alluxio
Alphabet
Alpine Data
Alteryx
AMD (Advanced Micro Devices)
Apixio
Arcadia Data
Arimo
ARM
ASF (Apache Software Foundation)
AtScale
Attivio
Attunity
Audi
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