Big Data in the Automotive Industry Analysis, Overview, Growth Opportunities, Challenges, Strategies & Forecasts 2017 - 2030The global XYZ market report, offers in-depth insights, revenue details, and other vital information regarding the global XYZ market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2025. The report also offers insightful and detailed information regarding the various key players operating in the global XYZ market, and their financials, apart from strategies, acquisitions & mergers, and market footprint. The global XYZ market is segmented on the basis of security type, component, application area, and region.
“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.
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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.
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
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Market forecasts are provided for each of the following submarkets and their subcategories:
Hardware, Software & Professional Services
Storage & Compute Infrastructure
Hadoop & Infrastructure Software
Analytic Platforms & Applications
Product Development, Manufacturing & Supply Chain
After-Sales, Warranty & Dealer Management
Connected Vehicles & Intelligent Transportation
Marketing, Sales & Other Applications
Supply Chain Management
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
Driver Safety & Vehicle Cyber Security
In-Vehicle Experience, Navigation & Infotainment
Ride Sourcing, Sharing & Rentals
Marketing & Sales
Third Party Monetization
Other Use Cases
Latin & Central America
Middle East & Africa
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?
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
ACEA (European Automobile Manufacturers’ Association)
Alliance of Automobile Manufacturers
AMD (Advanced Micro Devices)
ASF (Apache Software Foundation)
AWS (Amazon Web Services)
BCG (Boston Consulting Group)
Big Cloud Analytics
Booz Allen Hamilton
Concurrent Computer Corporation
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
DDN (DataDirect Networks)
Digital Reasoning Systems
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Dundas Data Visualization
Engineering Group (Engineering Ingegneria Informatica)
FCA (Fiat Chrysler Automobiles)
FICO (Fair Isaac Corporation)
Ford Motor Company
FTC (U.S. Federal Trade Commission)
GE (General Electric)
Geely (Zhejiang Geely Holding Group)
GM (General Motors Company)
HDS (Hitachi Data Systems)
Honda Motor Company
HPE (Hewlett Packard Enterprise)
Hyundai Motor Company
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
INCITS (InterNational Committee for Information Technology Standards)
InetSoft Technology Corporation
ISO (International Organization for Standardization)
Jaguar Land Rover
Kia Motor Corporation
Looker Data Sciences
Manthan Software Services
Mazda Motor Corporation
METI (Ministry of Economy, Trade and Industry, Japan)
Nissan Motor Company
NIST (U.S. National Institute of Standards and Technology)
NTT Data Corporation
NYC DOT (New York City Department of Transportation)
OASIS (Organization for the Advancement of Structured Information Standards)
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
ODPi (Open Ecosystem of Big Data)
OGC (Open Geospatial Consortium)
Progress Software Corporation
PwC (PricewaterhouseCoopers International)
SAIC Motor Corporation
Salient Management Company
SCIO Health Analytics
Strategy Companion Corporation
Supermicro (Super Micro Computer)
Suzuki Motor Corporation
TCS (Tata Consultancy Services)
THTA (Tokyo Hire-Taxi Association)
Toyota Motor Corporation
TPC (Transaction Processing Performance Council)
W3C (World Wide Web Consortium)
Western Digital Corporation
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