Global Big Data in the Automotive Industry Research Report for 2017-2021

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Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts
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• Published May-2017
• Single User PDF US 2500

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Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts

• The Big Data in the Automotive Industry 2030
  Foresees growth in CAGR up to 12 between 2017
  and 2020. Big Data in the Automotive Industry
  will account for over 2.8 Billion Revenue in
  2017 further rising to 4 Billion by the end of
  2020.
• 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.
• This report presents 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.
• Read Full Report _at_ http//www.rnrmarketresearch.co
  m/big-data-in-the-automotive-industry-2017-2030-op
  portunities-challenges-strategies-forecasts-market
  -report.html .

Order this report by calling 1 888 391 5441 or
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your contact details and questions if any.
3
Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts

• Market Segment by Manufacturers, this report
  covers 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 and More
• Report Covers
• 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
• Key Findings
• Big Data in the Automotive Industry accounts for
  over 4 Billion by the end of 2020.
• 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 MA deals have taken place that highlight the
  growing importance of Big Data in the automotive
  industry.
• Addressing privacy concerns is necessary in order
  to monetize the swaths of Big Data

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Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts

• 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
• Regional Markets Asia Pacific , Eastern Europe
  ,Middle East Africa ,Latin Central America
  North America and Western Europe

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Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts

• 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 and Other Use
  Cases
• 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

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Big Data in the Automotive Industry 2017 2030
Opportunities, Challenges, Strategies
Forecasts

• Table of Content (Snap shot)
• 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 Analysis Forecasts
• Chapter 9 Vendor Landscape
• Chapter 10 Conclusion Strategic
  Recommendations
•  

Order this report by calling 1 888 391 5441 or
Send an email to sales_at_rnrmarketresearch.com with
your contact details and questions if any.
7
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