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市場調查報告書

汽車巨量資料的全球市場預測 2016-2026年:V2X、V2I、V2P、V2G、V2v通訊的產業的數位轉換

Automotive Big Data Market Forecast 2016-2026: Forecasts By (Autonomous, User Experience, Diagnostics, Location) Industry Digital Transformation With Vehicle to Everything Telematics - V2X, V2I, V2P, V2G, V2V Communications

出版商 Visiongain Ltd 商品編碼 374701
出版日期 內容資訊 英文 150 Pages
商品交期: 最快1-2個工作天內
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汽車巨量資料的全球市場預測 2016-2026年:V2X、V2I、V2P、V2G、V2v通訊的產業的數位轉換 Automotive Big Data Market Forecast 2016-2026: Forecasts By (Autonomous, User Experience, Diagnostics, Location) Industry Digital Transformation With Vehicle to Everything Telematics - V2X, V2I, V2P, V2G, V2V Communications
出版日期: 2016年10月03日 內容資訊: 英文 150 Pages
簡介

汽車巨量資料市場預計2016年超過47億美元。該市場預計在汽車安全、安全部門中成為成長最快速的次級市場之一。

本報告提供全球汽車巨量資料市場相關調查,市場概要,主要的市場趨勢及影響因素,各次級市場、主要國家的市場趨勢及市場規模的變化與預測,以及主要企業的簡介等彙整。

第1章 報告概要

第2章 汽車巨量資料市場簡介

  • 汽車產業上巨量資料的理解
    • 及V2vV2X
    • 安全性
    • 課題
    • 雲端
    • 汽車生態系統的資料類型
    • 汽車生成的資料
    • OEM追蹤可能的資訊
    • 汽車資料的用戶及貢獻者
    • 汽車產業上巨量資料的優點
    • 汽車的資料消費者的類型
    • 汽車產業上巨量資料的收益化
  • 汽車資料保護相關法規
    • EU的法規
    • 美國的法規
  • 汽車巨量資料次市場定義
    • ADAS/自主式
    • 用戶體驗/特徵追蹤
    • 定位
    • 診斷
    • 其他

第3章 全球汽車巨量資料市場

  • 全球汽車巨量資料市場預測
  • 地區的汽車巨量資料市場預測
  • 地區的汽車巨量資料市場佔有率
  • 汽車巨量資料市場地區分析
    • 北美
    • 歐洲
    • 亞太地區
    • 中東、非洲
    • 南美
  • 全球巨量資料的促進要素、抑制因素

第4章 全球汽車巨量資料次級市場預測

  • 全球ADAS/自主式巨量資料次市場預測
  • 用戶體驗/特徵追蹤巨量資料市場預測
  • 定位巨量資料市場預測
  • 診斷巨量資料市場預測
  • 其他巨量資料次市場預測
  • 汽車巨量資料次市場動態

第5章 主要10個國家的汽車巨量資料市場預測

  • 主要10個國家的汽車巨量資料市場佔有率預測
  • 中國
    • 該國簡介
    • 汽車巨量資料市場預測
    • 汽車巨量資料
    • 資料保護、安全
  • 印度
  • 德國
  • 日本
  • 法國
  • 韓國
  • 美國
  • 英國
  • 加拿大
  • 俄羅斯

第6章 全球汽車巨量資料市場SWOT分析

第7章 汽車巨量資料的主要企業

  • BMW AG Company
  • Daimler AG
  • Fiat Chrysler Automobiles
  • Ford Motor
  • General Motors
  • 本田技研工業
  • Tesla Motors
  • 豐田汽車
  • Volkswagen
  • Volvo
  • 其他的主要企業

第8章 結論、建議

第9章 詞彙表

圖表清單

目錄
Product Code: AUT0028

This new report from business intelligence provider visiongain offers insightful analysis of the global automotive big data market. Visiongain assesses that the revenue of the automotive big data market will exceed $4.7 billion in 2016. Automotive Big Data is undeniably one of the fastest growing submarkets in the car safety and security sector.

What will you discover from this report?

  • How will the automotive big data market evolve and what is driving and restraining the market dynamics?
  • How will each one of the automotive big data submarket segments grow and which technologies will prevail?
  • How will the national markets change by 2026 and which country will lead the automotive big data market?
  • Who are the leading players and what are their prospects over the forecast period?
  • And what are the trends in the automotive big data market?

We break down the most important sub segment of the automotive industry but also the key big data type's, telematics providers', and countries' market shares, revenue forecasts and characteristics that will make them lead this specific submarket.

Now: "Car connectivity brings Big Data opportunities". This is an example of the business critical headline that you need to know about - and more importantly, you need to read visiongain's objective analysis of how this will impact your company and the industry more broadly. How are you and your company reacting to this news? Are you sufficiently informed?

How this report will benefit you

Read on to discover how you can exploit the future business opportunities emerging in automotive big data.. Visiongain's new study tells you and tells you NOW.

In this brand new report you find 143 in-depth tables, charts and graphs, and trends - all unavailable elsewhere.

The 150 page report provides clear detailed insight into the global automotive big data market. Discover the key drivers and challenges affecting the market.

By ordering and reading our brand new report today you stay better informed and ready to act.

Report Scope

  • Global automotive big data market forecast and analysis from 2016-2026
  • Forecasts & analysis of the 5 automotive big data submarket revenues between 2016 and 2026
    • ADAS / Autonomous
    • User Experience / Feature Tracking
    • Diagnostics
    • Location
    • Others
  • 5 Regional automotive big data market forecasts and analysis from 2016-2026
    • North America
    • Latin America
    • Europe
    • Asia-Pacific
    • Middle East & Africa
  • 10 Leading national automotive big data market forecasts and analysis from 2016-2026
    • Canada
    • China
    • France
    • Germany
    • India
    • Japan
    • Russia
    • South Korea
    • UK
    • US

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  • Overview and analysis of the role of standards and regulations
  • Analysis of the solutions and applications for automotive big data
  • SWOT analysis of the automotive big data market
  • Profiles of 10 leading companies involved in the automotive big data market as well as their automotive telematics product portfolio.
    • BMW AG
    • Daimler AG
    • Fiat Chrysler Automobiles
    • Ford Motor
    • General Motors
    • Honda Motor
    • Tesla Motors
    • Toyota
    • Volkswagen
    • Volvo
  • Key technologies analysed which are driving growth in automotive big data
    • Connected Car
    • Vehicle to Everything Telematics (V2X, V2I, V2P, V2G, V2V Communications,
    • Self-Driving Autonomous Vehicles (AV)
    • Usage-Based Insurance (UBI)
    • Pay As You Drive (PAYD)
    • Infotainment
    • The Internet of Things (IoT)
  • Conclusions and recommendations

Who should read this report?

  • Anyone within the automotive value chain
  • Automotive Manufacturers (OEMs)
  • Aftermarket companies for connected vehicles
  • Connectivity solution companies
  • Data transfer & IT companies
  • Car cyber security start-ups
  • Automotive safety systems companies
  • ADAS companies
  • AEB, FCW and avoidance companies
  • WLAN solution companies
  • Telematics solution companies
  • Infotainment companies
  • Diagnostics companies
  • Connectivity companies
  • V2X safety and security companies
  • Telecommunication companies
  • Collision research institutes
  • Business intelligence analyst
  • Marketing manager
  • Business development manager
  • Managing director (MD)
  • Commercial director
  • CEO's
  • COO's
  • CIO's
  • Business development managers
  • Marketing managers
  • Technologists
  • Suppliers
  • Investors
  • Banks
  • Government agencies
  • Contractors

Visiongain's study is intended for anyone requiring commercial analyses for the automotive market and leading companies. You find data, trends and predictions.

Table of Contents

1. Report Overview

  • 1.1 Global Big Data in Automotive Market Overview
  • 1.2 Global Automotive Big Data Market Segmentation
  • 1.3 Why You Should Read This Report
  • 1.4 How This Report Delivers
  • 1.5 Key Questions Answered by This Analytical Report Include:
  • 1.6 Who is This Report For?
  • 1.7 Methodology
  • 1.7.1 Primary Research
  • 1.7.2 Secondary Research
  • 1.7.3 Market Evaluation & Forecasting Methodology
  • 1.8 Frequently Asked Questions (FAQ)
  • 1.9 Associated visiongain Reports
  • 1.10 About visiongain

2. Introduction to Automotive Big Data Market

  • 2.1 Understanding the Big Data in the Automotive Industry
    • 2.1.1 V2V and V2X
    • 2.1.2 Safety
    • 2.1.3 Challenges
    • 2.1.4 The Cloud
    • 2.1.5 Types of Data in the Car Ecosystem
      • 2.1.5.1 Data generated inside the car necessary for the operation of the car, which is not transmitted outside the car
      • 2.1.5.2 Data Transmitted Outside the Car
      • 2.1.5.3 Data Transmitted in-and-out of the Car
      • 2.1.5.4 Data Generation Mandated by Law
      • 2.1.5.5 Shared Data
    • 2.1.6 Data Generated by the Car
    • 2.1.7 Information That Can Be Tracked by OEMs
    • 2.1.8 Car Data Users and Contributors
    • 2.1.9 Benefits of Big Data in the Automotive Industry
    • 2.1.10 Types of Data Consumers Own in the Car
    • 2.1.11 Monetisation of Big Data in the Automotive Industry
  • 2.2 Regulations on Car Data Protection
    • 2.2.1 EU Regulations
      • 2.2.1.1 New EU Laws
      • 2.2.1.2 Car Data Access
      • 2.2.1.3 Data Safety and Security
    • 2.2.2 US Regulations
      • 2.2.2.1 Alliance of Automobile Manufacturers
      • 2.2.2.2 US SPY Act
  • 2.3 Automotive Big Data Submarkets Definition
    • 2.3.1 ADAS/Autonomous
    • 2.3.2 User Experience/Feature Tracking
    • 2.3.3 Location
    • 2.3.4 Diagnostics
    • 2.3.5 Other

3. Global Automotive Big Data Market 2016-2026

  • 3.1 Global Automotive Big Data Market Forecast 2016-2026
  • 3.2 Regional Automotive Big Data Market Forecast 2016-2026
  • 3.3 Regional Automotive Big Data Market Shares 2016-2026
  • 3.4 Automotive Big Data Market Regional Breakdown 2016-2026
    • 3.4.1 N. American Automotive Big Data Market Forecast 2016-2026
    • 3.4.2 European Automotive Big Data Market Forecast 2016-2026
    • 3.4.3 Asia-Pacific Automotive Big Data Market Forecast 2016-2026
    • 3.4.4 Middle Eastern & African Automotive Big Data Market Forecast 2016-2026
    • 3.4.5 Latin American Automotive Big Data Market Forecast 2016-2026
  • 3.5 Global Big Data Drivers and Restrains

4. Global Automotive Big Data Submarkets Forecast 2016-2026

  • 4.1 Global ADAS/Autonomous Big Data Submarket Forecast 2016-2026
  • 4.2 User Experience/Feature Tracking Big Data Submarket Forecast 2016-2026
  • 4.3 Location Big Data Submarket Forecast 2016-2026
  • 4.4 Diagnostics Big Data Submarket Forecast 2016-2026
  • 4.5 Other Big Data Submarket Forecast 2016-2026
  • 4.6 Automotive Big Data Submarkets Dynamics 2016-2026

5. Leading 10 National Automotive Big Data Markets Forecast 2016-2026

  • 5.1 Leading 10 National Automotive Big Data Markets Share Forecast 2016-2026
  • 5.2 China Automotive Big Data Market 2016-2026
    • 5.2.1 China Country Profile 2016
    • 5.2.2 China Automotive Big Data Market Forecast 2016-2026
    • 5.2.3 Automotive Big Data in China
    • 5.2.4 Data Protection and Security in China
  • 5.3 India Automotive Big Data Market 2016-2026
    • 5.3.1 India Country Profile 2016
    • 5.3.2 India Automotive Big Data Market Forecast 2016-2026
    • 5.3.3 Automotive Big Data in India
    • 5.3.4 Data Protection and Security in India
  • 5.4 Germany Automotive Big Data Market 2016-2026
    • 5.4.1 Germany Country Profile 2016
    • 5.4.2 Germany Automotive Big Data Market Forecast 2016-2026
    • 5.4.3 Automotive Big Data in Germany
    • 5.4.4 Data Protection and Security in Germany
  • 5.5 Japan Automotive Big Data Market 2016-2026
    • 5.5.1 Japan Country Profile 2016
    • 5.5.2 Japan Automotive Big Data Market Forecast 2016-2026
    • 5.5.3 Automotive Big Data in Japan
    • 5.5.4 Data Protection and Security in Japan
  • 5.6 France Automotive Big Data Market 2016-2026
    • 5.6.1 France Country Profile 2016
    • 5.6.2 France Automotive Big Data Market Forecast 2016-2026
    • 5.6.3 Automotive Big Data in France
    • 5.6.4 Data Protection and Security in France
  • 5.7 South Korea Automotive Big Data Market 2016-2026
    • 5.7.1 South Korea Country Profile 2016
    • 5.7.2 South Korea Automotive Big Data Market Forecast 2016-2026
    • 5.7.3 Automotive Big Data in South Korea
    • 5.7.4 Data Protection and Security in South Korea
  • 5.8 US Automotive Big Data Market 2016-2026
    • 5.8.1 US Country Profile 2016
    • 5.8.2 US Automotive Big Data Market Forecast 2016-2026
    • 5.8.3 Automotive Big Data in US
    • 5.8.4 Data protection and Security in US
  • 5.9 UK Automotive Big Data Market 2016-2026
    • 5.9.1 UK Country Profile 2016
    • 5.9.2 UK Automotive Big Data Market Forecast 2016-2026
    • 5.9.3 Automotive Big Data in UK
    • 5.9.4 Data Protection and Security in UK
  • 5.10 Canada Automotive Big Data Market 2016-2026
    • 5.10.1 Canada Country Profile 2016
    • 5.10.2 Canada Automotive Big Data Market Forecast 2016-2026
    • 5.10.3 Automotive Big Data in Canada
    • 5.10.4 Data Protection and Safety in Canada
  • 5.11 Russia Automotive Big Data Market 2016-2026
    • 5.11.1 Russia Country Profile 2016
    • 5.11.2 Russia Automotive Big Data Market Forecast 2016-2026
    • 5.11.3 Automotive Big Data in Russia
    • 5.11.4 Data Protection and Safety in Russia

6. Global Automotive Big Data Market SWOT Analysis

7. Leading Automotive Big Data Companies

  • 7.1 BMW AG Company
    • 7.1.1 BMW ConnectedDrive
    • 7.1.2 ConnectedDrive Services, Applications and Apps
    • 7.1.3 BMW Future Outlook
    • 7.1.4 BMW Plans Data Connection and LTE Expansion in its Models
  • 7.2 Daimler AG
    • 7.2.1 Mercedes-Benz mbrace
    • 7.2.2 Mercedes-Benz mbrace Services and Packages
    • 7.2.3 Daimler Future Outlook
  • 7.3 Fiat Chrysler Automobiles
    • 7.3.1 Fiat Chrysler Automobiles uConnect
    • 7.3.2 Services and Applications of uConnect
    • 7.3.3 Fiat Chrysler Future Outlook
  • 7.4 Ford Motor
    • 7.4.1 Ford Motor SYNC
    • 7.4.2 Ford Motor SYNC Packages, Services and Applications
    • 7.4.3 Ford Motor SYNC Emergency Assistance
    • 7.4.4 Ford Motor Future Outlook
  • 7.5 General Motors
    • 7.5.1 General Motors OnStar
    • 7.5.2 General Motors OnStar Packages
    • 7.5.3 General Motors Future Outlook
  • 7.6 Honda Motor
    • 7.6.1 Honda's HondaLink
    • 7.6.2 HondaLink Features and Applications
    • 7.6.3 Honda's Future Outlook
  • 7.7 Tesla Motors
    • 7.7.1 Tesla Future Outlook
  • 7.8 Toyota Motor
    • 7.8.1 Toyota Entune
    • 7.8.2 Toyota Safety Connect
    • 7.8.3 Toyota's Future Outlook
  • 7.9 Volkswagen
    • 7.9.1 Volkswagen Car-Net
    • 7.9.2 Volkswagen Car-Net Packages and Applications
    • 7.9.3 Volkswagen's Future Outlook
  • 7.10 Volvo
    • 7.10.1 Volvo Sensus Connect
    • 7.10.2 Volvo's Future Outlook
  • 7.11 Other Leading Companies in the Automotive Big Data

8. Conclusion and Recommendations

9. Glossary

List of Tables

  • Table 1.1 Global Automotive Big Data Market Segmentation Overview
  • Table 2.1 Data Generated by the Car (Category, Data, 2016 Application, 2026 Application)
  • Table 2.2 Information that can be tracked by OEMs (Tracked data, Description)
  • Table 2.3 Monetisation of Big Data in the Automotive Industry (Category, Type, Description, Example)
  • Table 2.4 Data Privacy and Protection Principles (Principle, Description)
  • Table 2.5 Privacy Standards in US SPY Car Act (Standard, Description)
  • Table 3.1 Global Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.2 Regional Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Table 3.3 Regional Automotive Big Data Market Percentage Point Change in Market Share 2016-2026 (PP Change)
  • Table 3.4 Regional Automotive Big Data Market CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Table 3.5 North American Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.6 European Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.7 Asia-Pacific Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.8 Middle Eastern & African Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.9 Latin American Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 3.10 Global Automotive Big Data Market Drivers & Restraints 2016
  • Table 4.3.1 Global Automotive Big Data Submarket Forecast 2016-2026 (US$m, AGR %)
  • Table 4.2 Submarket Automotive Big Data Market CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Table 4.3 Automotive Big Data Submarket Percentage Point Change in Market Share 2016-2026 (PP Change)
  • Table 4.4 ADAS/Autonomous Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 4.5 User Experience/Feature Tracking Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 4.6 Location Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 4.7 Diagnostics Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 4.8 Other Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %, CAGR %)
  • Table 5.1 Leading 10 National Automotive Big Data Markets Forecast 2016-2026 (Revenue US$m, AGR %)
  • Table 5.2 Leading 10 National Automotive Big Data Markets CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Table 5.3 Leading 10 National Automotive Big Data Market Shares Change 2016-2026 (Percentage Points)
  • Table 5.4 China Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.5 China Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.6 Summary of Data Security Provisions in China (Type, Name)
  • Table 5.7 India Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.8 India Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.9 Summary of Data Security Provisions in India (Type, Name)
  • Table 5.10 Germany Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.11 Germany Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.12 Summary of Data Security Provisions in Germany (Type, Name)
  • Table 5.13 Japan Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.14 Japan Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.15 Summary of Data Security Provisions in Japan (Type, Name)
  • Table 5.16 France Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.17 France Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.18 Summary of Data Security Provisions in France (Type, Name)
  • Table 5.19 South Korea Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.20 South Korea Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.21 Summary of Data Security Provisions in South Korea (Type, Name)
  • Table 5.22 US Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.23 US Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.24 Summary of Data Security Provisions in US (Type, Name)
  • Table 5.25 UK Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.26 UK Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.27 Summary of Data Security Provisions in UK (Type, Name)
  • Table 5.28 Canada Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.29 Canada Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.30 Summary of Data Security Provisions in Canada (Type, Name)
  • Table 5.31 Russia Country Profile 2016 (GDP $bn, GDP per Capita, Population mn, Internet users %, Annual online transactions $bn, Car Sales or Registrations mn, Cyberwellness Index)
  • Table 5.32 Russia Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %, CAGR%)
  • Table 5.33 Summary of Data Security Provisions in Russia (Type, Name)
  • Table 6.1 Global Automotive Big Data Market SWOT Analysis
  • Table 7.1Type of Data by Industry Players
  • Table 7.2 List of Leading Automotive Big Data Companies
  • Table 7.3 Type of Data by Application
  • Table 7.4 BMW AG Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.5 BMW Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.6 Daimler AG Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.7 Daimler Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.8 Mercedes-Benz mbrace Applications and Services Overview
  • Table 7.9 FCA Group Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.10 Ford Motor Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.11 Ford Motor Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.12 General Motors Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.13 General Motors Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.14 Honda Motor Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, Ticker, Website)
  • Table 7.15 Honda Motor Income Statement Summary 2012-2016 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.16 Tesla Motors Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.17 Tesla Motors Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.18 Toyota Motor Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.19 Toyota Motor Income Statement Summary 2012-2016 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.20 Volkswagen Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.21 Volkswagen Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.22 Volvo Profile 2016 (CEO, Total Company Sales US$bn, Net Profit US$bn, HQ, Founded, No. of Employees, Telematics System, IR Contact, Ticker, Website)
  • Table 7.23 Toyota Income Statement Summary 2011-2015 (Revenue US$m, Gross Profit US$m, Operating Income US$m, Net Income US$m, Diluted EPS US$)
  • Table 7.24 Other Leading Companies in the Big Data Market 2016 (Country)
  • Table 8.1 Factors that Will Influence Automotive Big Data Market

List of Figures

  • Figure 2.1 Car Data Users/Contributors (Data User, Data Used for)
  • Figure 2.2 Benefits of Big Data in the Automotive Industry
  • Figure 2.3 Types of Data Consumers Own in the Car
  • Figure 3.1 Global Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.2 Automotive Big Data Regional Coverage (Region)
  • Figure 3.3 Regional Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.4 Regional Automotive Big Data Market AGR Forecast 2016-2026 (AGR %)
  • Figure 3.5 Regional Automotive Big Data Market Percentage Point Change in Market Share 2016-2026 (PP Change)
  • Figure 3.6 Regional Automotive Big Data Market CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Figure 3.7 Regional Automotive Big Data Market Share Forecast 2016 (%)
  • Figure 3.8 Regional Automotive Big Data Market Share Forecast 2021 (%)
  • Figure 3.9 Regional Automotive Big Data Market Share Forecast 2026 (%)
  • Figure 3.10 North American Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.11 European Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.12 Asia-Pacific Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.13 Middle Eastern & African Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 3.14 Latin American Automotive Big Data Market Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.1 Global Automotive Big Data Submarket Forecast 2016-2026 (US$m, AGR %)
  • Figure 4.2 Global Automotive Big Data Submarket AGR Forecast (AGR %)
  • Figure 4.3 Global Automotive Big Data Submarket Share Forecast 2016 (% Share)
  • Figure 4.4 Global Automotive Big Data Submarket Share Forecast 2021 (% Share)
  • Figure 4.5 Global Automotive Big Data Submarket Share Forecast 2026 (% Share)
  • Figure 4.6 Global Automotive Big Data Submarket CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Figure 4.7 Automotive Big Data Submarket Percentage Point Change in Market Share 2016-2026 (PP Change)
  • Figure 4.8 ADAS/Autonomous Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.9 ADAS/Autonomous Big Data Submarket Shares 2016, 2021, 2026 (%)
  • Figure 4.10 User Experience/Feature Tracking Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.11 User Experience/Feature Tracking Big Data Submarket Shares 2016, 2021, 2026 (%)
  • Figure 4.12 Location Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.13 Location Big Data Submarket Shares 2016, 2021, 2026 (%)
  • Figure 4.14 Diagnostics Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.15 Diagnostics Big Data Submarket Shares 2016, 2021, 2026 (%)
  • Figure 4.16 Other Big Data Submarket Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 4.17 Other Big Data Submarket Shares 2016, 2021, 2026 (%)
  • Figure 4.18 Automotive Big Data Submarkets Dynamics 2016-2026
  • Figure 5.1 Leading 10 National Automotive Big Data Markets Forecast 2016-2026 (Revenue US$m, AGR %)
  • Figure 5.2 Leading 10 National Automotive Big Data Markets CAGR Forecast 2016-2021, 2021-2026, 2016-2026 (CAGR %)
  • Figure 5.3 Leading 10 National Automotive Big Data Market Shares Change 2016-2026 (Percentage Points)
  • Figure 5.4 Leading 10 National Automotive Big Data Markets Share Forecast 2016 (% Share)
  • Figure 5.5 Leading 10 National Automotive Big Data Markets Share Forecast 2021 (% Share)
  • Figure 5.6 Leading 10 National Automotive Big Data Markets Share Forecast 2026 (% Share)
  • Figure 5.7 China Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.8 China Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.9 India Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.10 India Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.11 Germany Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.12 Germany Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.13 Japan Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.14 Japan Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.15 France Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.16 France Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.17 South Korea Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.18 South Korea Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.19 US Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.20 US Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.21 UK Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.22 UK Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.23 Canada Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.24 Canada Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)
  • Figure 5.25 Russia Automotive Big Data Market Forecast 2016-2026 (US$m, AGR %)
  • Figure 5.26 Russia Automotive Big Data Market Share Forecast 2016, 2021, 2026 (% Share)

Companies Listed

  • Accenture
  • Adrian Flux
  • Aeris Communications
  • Airbiquity
  • Apple Inc.
  • AT&T Inc.
  • Baidu
  • BlackBerry
  • BMW
  • Broadcom Corporation
  • Cisco
  • Citymapper
  • Continental
  • Daimler
  • Dell
  • Delphi
  • Denso
  • DiDi Chuxing
  • Ericsson
  • Fiat Chrysler Automobiles FCA
  • Ford
  • Fuji
  • Garmin
  • Geely
  • General Motors GM
  • Google Inc.
  • Harman
  • Honda
  • Honeywell
  • Hyundai
  • IBM
  • Inirx Traffic
  • Intel
  • Jasper Technologies
  • Lexus
  • LG
  • Lyft
  • Magna
  • Magnetti Marelli
  • Mahindra
  • Maruti Suzuki
  • Mazda
  • Microsoft
  • Mitsubishi
  • Moovit
  • Motorola
  • Navigon
  • Navistar
  • Navman
  • Nissan
  • Nvidia Corporation
  • OnStar
  • Panasonic
  • Porsche
  • PSA Peugeot Citroen
  • QNX
  • Qualcomm Inc.
  • Renault
  • Ricardo plc
  • Robert Bosch GmbH
  • SAIC
  • Samsung
  • Sierra Wireless
  • SmartDrive
  • Sony
  • Suzuki
  • Tech Mahindra Ltd.
  • Telenor Connexion
  • TeliaSonera
  • Tesla
  • T-Mobile
  • TomTom
  • Toyota
  • T-Systems
  • Uber
  • VEBA
  • Verizon Communications
  • Visteon
  • Volkswagen
  • Volvo
  • Wipro Technologies
  • Zubie

Agencies and Other Organisations Mentioned in this Report

  • British Vehicle Rental and Leasing Association
  • Canadian Cyber Incident Response Centre (CCIRC)
  • Car Rental Association of France (AFCA)
  • China Ministry of Industry and Information Technology (MIIT)
  • China Ministry of Science and Technology
  • China National Network & Information Security Coordination Team
  • C-ITS group
  • EU Directorate General for Mobility and Transport
  • European Commission (EC)
  • European Union (EU)
  • Federal Office for Information Security (BSI) of Germany
  • Federal Service for Technical and Export Control (FSTEC) of Russia
  • France Commission nationale de l'informatique et des libertés (CNIL)
  • Information Security Policy Council (ISPC) of Japan
  • Japan Ministry of Defense
  • Japan Ministry of Economy, Trade and Industry (METI)
  • Japan Ministry of Internal Affairs and Communications (MIC)
  • Japan National Information Security Center (NISC)
  • Korean Transport Institute
  • Ministry of Communications and Information Technology of India
  • Ministry of Internal Affairs (MVD) of Russia
  • National Policy Agency of Japan
  • Office of Cybersecurity and Information Assurance (OCSIA) of UK
  • Office of the Critical Infrastructure Protection and Emergency Preparedness (OCIPEP) of Canada
  • Office of the Privacy Commissioner of Canada (OPC)
  • Organisation for Economic Cooperation and Development (OECD)
  • Roskomnadzor
  • Russia Ministry of Defence (MoD)
  • Russian Federal Protection Service (FSO)
  • Russian Federal Security Service (FSB)
  • Russian Foreign Intelligence Service (SVR)
  • Standing Committee of its National People's Congress (SC-NPC)
  • State Internet information Office of China
  • The Central Internet Security and Informatization Leading Group of China
  • The Department of Electronics and Information Technology of India
  • The Ministry of Science, ICT and Future Planning of Korea
  • The national agency of IT security (ANSSI) of France
  • United Nation Economic Commission for Europe (UNECE)
  • US Alliance of Automobile Manufacturers
  • US Cybersecurity Coordinator (White House)
  • US Department of Defence (DoD)
  • US Department of Homeland Security (DHS)
  • US Federal Trade Commission (FTC)
  • US National Highway Traffic Safety Administration (NHTSA)
  • US Senate
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