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Date:      Thu, 11 Aug 2016 02:39:01 -0700
From:      "Andy Silva" <andy.silva@snsreports.com>
To:        gnome@freebsd.org
Subject:   Connected Car Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies & Forecasts (Report)
Message-ID:  <62244217536881021415315@Ankur>

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The Connected Car Ecosystem: 2016-2030 - Opportunities, Challenges, Strateg=
ies & Forcasts (Report)


Hello

Let me offer you the latest SNS Research report to you and your team, " Con=
nected Car Ecosystem: 2016 - 2030 - Opportunities, Challenges, Strategies &=
 Forecasts" Below is the report highlight and if you like I can send you sa=
mple pages for your details inside.=20
=20
By the end of 2016, the author estimates that connected car services will a=
ccount for $14 Billion in annual revenue, driven by a host of applications,=
 including but not limited to infotainment, navigation, fleet management, r=
emote diagnostics, automatic crash notification, enhanced safety, UBI (Usag=
e Based Insurance), traffic management and semi-autonomous driving.

Report Information:

Release Date: July 2016
Number of Pages: 380
Number of Tables and Figures: 83

Key Questions Answered:

How big is the connected car opportunity=3F
What trends, challenges and barriers are influencing its growth=3F
How is the ecosystem evolving by segment and region=3F
What will the market size be in 2020 and at what rate will it grow=3F
Which countries and submarkets will see the highest percentage of growth=3F
Who are the key market players and what are their strategies=3F
How will connected cars drive investments in Big Data, cloud computing, ana=
lytics and other technologies=3F
What are the growth prospects of embedded, tethered and integrated connecti=
vity options=3F
How do government mandates and initiatives impact the adoption of embedded =
connectivity=3F
What are the future prospects of self-driving cars and cooperative V2X appl=
ications=3F
Do LTE and 5G technologies pose a threat to the 802.11p standard for V2X co=
mmunications=3F
What strategies should automotive OEMs, mobile operators and connected car =
platform specialists adopt to remain competitive=3F

Key Findings:

The report has the following key findings:
By the end of 2016, SNS Research estimates that connected car services will=
 account for $14 Billion in annual revenue, driven by a host of application=
s. The market is further expected to grow at a CAGR of 31% between 2016 and=
 2020.
Although the market is presently dominated by infotainment and telematics, =
connected driver assistance systems and autonomous driving applications wil=
l witness the highest growth rate over the next four years.
Multiple automotive OEMs are beginning to integrate in-vehicle payment capa=
bilities with their connected car platforms to make it possible for drivers=
 to pay for services such as fuel, parking, food and tolling, without havin=
g to leave their vehicles.
The connected car ecosystem continues to consolidate, with larger players i=
nvesting in acquisitions to increase their market share, technical capabili=
ties, revenue and geographic reach. For example, semiconductor giant Intel =
has made a spate of acquisitions including Altera, Yogitech, Arynga and Its=
eez, to bolster its IoT and connected car capabilities.
Many mobile operators have expanded beyond their traditional role as connec=
tivity providers, to offer end-to-end connected car platforms directly to a=
utomotive OEMs and aftermarket suppliers.
The report covers the following topics:
Big Data ecosystem
Market drivers and barriers
Big Data technology, standardization and regulatory initiatives
Big Data industry roadmap and value chain
Analysis and use cases for 14 vertical markets
Big Data analytics technology and case studies
Big Data vendor market share
Company profiles and strategies of 150 Big Data ecosystem players
Strategic recommendations for Big Data hardware, software and professional =
services vendors and enterprises
Market analysis and forecasts from 2016 till 2030

Forecast Segmentation:
Market forecasts and historical figures are provided for each of the follow=
ing submarkets and their categories:
Connected car installed base and service revenue forecasts are provided for=
 each of the following submarkets and their subcategories:
Connectivity Model
Embedded
Tethered
Integrated
Application Category
Communications, Infotainment & Payments
Navigation & Location Services
Vehicle Management
Safety & Security
Driver Assistance & Autonomous Driving
Embedded Car Connections
GSM
CDMA-2000
W-CDMA
TD-SCDMA
LTE & 5G
Satellite & Other Technologies
Tethered Car Connections
Wireless
Wireline
Integrated Car Connections
Apple CarPlay
Android Auto
MirrorLink
Others
Regional Markets
Asia Pacific
Europe
Middle East & Africa
North America
Latin & Central America
Country Markets
Brazil
Canada
China
Egypt
France
Germany
India
Indonesia
Italy
Japan
Mexico
Russia
Saudi Arabia
South Africa
South Korea
UK
USA
=20
Report Pricing:
=20
Single User License: USD 2,500
Company Wide License: USD 3,500
=20
Ordering Process:
=20
Please provide the following information:
Report Title - Connected Car Ecosystem: 2016 =96 2030
Report License - (Single User/Company Wide)
Name -
Email -
Job Title -
Company -
Invoice Address -

Please contact me if you have any questions, or wish to purchase a copy. Ta=
ble of contents, List of figures and List of companies mentioned in report =
are given below for more inside.

I look forward to hearing from you.
=20
Kind Regards
=20
Andy Silva
Marketing Executive
Signals and Systems Telecom
andy.silva@snsreports.com
_________________________________________________________________________

Table of Contents:
=20
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
=20
2 Chapter 2: An Overview of Connected Cars
2.1 What are Connected Cars=3F
2.2 Connectivity Approaches
2.2.1 Embedded
2.2.2 Tethered
2.2.3 Integrated
2.3 Comparison of OEM Connected Car Programs
2.4 Key Enabling Technologies
2.4.1 M2M Connectivity & Mobile Networks
2.4.2 Smart Device Integration & Tethering
2.4.3 Ethernet & Short Range Wireless
2.4.4 V2X (Vehicle-to-Everything) Communications
2.4.5 Navigation Systems
2.4.6 Infotainment Systems
2.4.7 HMI (Human Machine Interface) Technologies
2.4.7.1 Display, Touchscreens & Tactile Feedback
2.4.7.2 Voice Recognition
2.4.7.3 Gesture Control
2.4.7.4 Proximity Sensors
2.4.7.5 Eye Tracking
2.4.8 ADAS: Sensors & Other Technologies
2.4.9 Operating Systems & Software Platforms
2.4.10 Cloud Computing
2.4.11 Big Data & Analytics
2.4.12 Other Technologies
2.5 Market Growth Drivers
2.5.1 Proliferation of Mobile Broadband
2.5.2 Connected Infotainment: A Key Purchase Factor
2.5.3 Integration: Benefiting from the Smartphone Ecosystem
2.5.4 Growing Demand for Telematics Services
2.5.5 Moving Towards Intelligent Transportation & Autonomous Driving
2.5.6 Enhancing Safety & Security
2.5.7 Customer Retention & Additional Revenue Streams
2.5.8 Growing Adoption of Electric Vehicles
2.5.9 Regulatory Initiatives & Mandates
2.6 Market Barriers
2.6.1 Standardization Complexities
2.6.2 Addressing Driver Distraction Concerns
2.6.3 Privacy & Security Issues
2.6.4 Consumer Acceptance & Monetizing Services
2.6.5 Product Lifecycle
2.6.6 Connectivity in Rural Areas
2.6.7 Roaming
=20
3 Chapter 3: Key Application Areas
3.1 Communications, Infotainment & Payments
3.1.1 Hands-Free Calling & Messaging
3.1.2 In-Vehicle Wi-Fi Hotspots
3.1.3 News & Weather Updates
3.1.4 Web Browsing & Social Networking
3.1.5 Multimedia Streaming & Downloads
3.1.6 Live Agent Services
3.1.7 In-Vehicle Payments
3.2 Navigation & Location Services
3.2.1 Navigation, Traffic Information & Alternative Routing
3.2.2 POI (Point of Interest) Search
3.2.3 Location Based Marketing
3.2.4 Geo-Fencing Applications
3.2.5 Fleet Management
3.2.6 ETC (Electronic Toll Collection)
3.3 Vehicle Management
3.3.1 Remote Diagnostics, Performance Monitoring & Maintenance
3.3.2 OTA (Over-the-Air) System Updates
3.3.3 UBI (Usage Based Insurance)
3.4 Safety & Security
3.4.1 Crash Alerting Systems
3.4.2 Roadside & Accident Assistance
3.4.3 Keyless Authentication
3.4.4 Driver Monitoring & Fatigue Detection
3.4.5 Early Warning Systems
3.5 Driver Assistance & Autonomous Driving
3.5.1 Connected ADAS Features
3.5.2 Intelligent Transportation
3.5.3 Parking Assistance
3.5.4 Self-Driving Cars
3.6 Other Applications
=20
4 Chapter 4: Collaboration, Standardization & Regulatory Landscape
4.1 Consortiums & Collaborative Projects
4.1.1 CCC (Car Connectivity Consortium)
4.1.2 OAA (Open Automotive Alliance)
4.1.3 C2C-CC (CAR 2 CAR Communication Consortium)
4.1.4 GENIVI Alliance
4.1.5 AGL (Automotive Grade Linux)
4.1.6 OPEN Alliance SIG (Special Industry Group)
4.1.7 MOSTCO (MOST Cooperation)
4.1.8 AVnu Alliance
4.1.9 Regional Projects
4.1.10 Others
4.2 Standardization Initiatives
4.2.1 3GPP (3rd Generation Partnership Project)
4.2.2 IEEE (Institute of Electrical and Electronics Engineers)
4.2.3 OneM2M
4.2.4 ISO (International Organization for Standardization)
4.2.5 ETSI (European Telecommunications Standards Institute)
4.2.6 CEN (European Committee for Standardization)
4.2.7 W3C (World Wide Web Consortium)
4.3 Government Mandates & Initiatives
4.3.1 U.S. DOT=92s V2V Connectivity Initiative
4.3.2 European Union=92s eCall
4.3.3 Russia=92s ERA-GLONASS
4.3.4 Brazil=92s SINIAV & SIMRAV 245
=20
5 Chapter 5: Connected Car Industry Roadmap & Value Chain
5.1 Industry Roadmap
5.1.1 2016 - 2020: The Emergence of Connected Car Programs
5.1.2 2020 - 2025: Large Scale Proliferation of Advanced Telematics & Infot=
ainment
5.1.3 2025 - 2030: The Era of Self-Driving Cars & Cooperative V2X Applicati=
ons
5.2 Value Chain
5.2.1 Enabling Technology
5.2.1.1 Hardware Providers
5.2.1.2 Software Providers
5.2.2 Production
5.2.2.1 Automotive OEMs
5.2.2.2 Aftermarket Suppliers
5.2.3 Distribution
5.2.3.1 Dealers
5.2.3.2 Other Intermediaries
5.2.4 Services & Solutions
5.2.4.1 Connected Car Platform Specialists
5.2.4.2 Telematics Providers
5.2.4.3 Connectivity Providers
5.2.4.4 Content Providers
5.2.4.5 Cloud Platform Providers
5.2.4.6 Big Data & Analytics Specialists
5.2.4.7 Insurance Companies
5.2.4.8 Supplementary Service Providers
5.2.5 End Users
5.2.5.1 Vehicle Owners
=20
6 Chapter 6: Key Market Players
6.1 21ViaNet Group
6.2 Abalta Technologies
6.3 Accenture
6.4 Acura
6.5 Aeris Communications
6.6 Airbiquity
6.7 Alibaba Group
6.8 Allstate Insurance Company
6.9 Alphabet
6.10 Alpine Electronics
6.11 Amdocs
6.12 Am=E9rica M=F3vil
6.13 Analog Devices
6.14 AppCarousel
6.15 Apple
6.16 Arada Systems
6.17 AT&T
6.18 Atmel Corporation
6.19 Atos
6.20 Audi
6.21 Autologic
6.22 Autologic
6.23 Automatic Labs
6.24 Autonet Mobile
6.25 Autotalks
6.26 Azuga
6.27 B&B Electronics
6.28 Baidu
6.29 BlackBerry
6.30 BMW
6.31 Bosch
6.32 Bouygues Telecom
6.33 Bright Box
6.34 Broadcom
6.35 BYD Auto
6.36 Cadillac
6.37 CalAmp
6.38 CenNavi Technologies
6.39 Changan Automobile Company
6.40 Chery
6.41 China Mobile
6.42 China Telecom
6.43 China TSP
6.44 China Unicom
6.45 Cisco Systems
6.46 Clarion
6.47 CloudCar
6.48 CloudMade
6.49 Cohda Wireless
6.50 Comtech TCS
6.51 Connect One
6.52 Connexis
6.53 Continental
6.54 Covisint
6.55 Cox Automotive
6.56 Coyote Systems
6.57 CPIC (China Pacific Insurance Group)
6.58 Cubic Telecom
6.59 Cypress Semiconductor Corporation
6.60 Delphi
6.61 Denso Corporation
6.62 Digi International
6.63 Digia
6.64 Dongfeng Motor Corporation
6.65 DT (Deutsche Telekom)
6.66 EDGE3 Technologies
6.67 Ericsson
6.68 FAW Group Corporation
6.69 FCA (Fiat Chrysler Automobiles)
6.70 FEV Group
6.71 Flextronics International
6.72 Ford Motor Company
6.73 Franklin Wireless
6.74 Frontier Silicon
6.75 Fujitsu Semiconductor
6.76 Fujitsu Ten
6.77 GAIG (Guangzhou Automobile Industry Group)
6.78 Garmin
6.79 Geely (Zhejiang Geely Holding Group)
6.80 Gemalto
6.81 Gett
6.82 GM (General Motors Company)
6.83 Google
6.84 H&D Wireless
6.85 Harman International Industries
6.86 Hawtai Motor Group
6.87 HERE
6.88 Hitachi
6.89 Honda Motor Company
6.90 HSC (Hughes Systique)
6.91 HTC Corporation
6.92 Huawei
6.93 Hyundai Motor Company
6.94 DTS
6.95 IBM
6.96 iHeartMedia
6.97 IMS (Intelligent Mechatronic Systems)
6.98 Infineon Technologies
6.99 Infiniti
6.100 Ingenie
6.101 INRIX
6.102 INSYS Microelectronics
6.103 Intel Corporation
6.104 Inthinc Technology Solutions
6.105 Inventek Systems
6.106 ip-label
6.107 iWOW Connections
6.108 Ixonos
6.109 Jaguar Land Rover
6.110 Johnson Controls
6.111 JVCKENWOOD Corporation
6.112 Kapsch TrafficCom
6.113 Karamba Security
6.114 KDDI Corporation
6.115 Kia Motors Corporation
6.116 KORE Wireless Group
6.117 KPN
6.118 KT Corporation
6.119 Laird
6.120 Lantronix
6.121 Lesswire
6.122 Lexus
6.123 LG Electronics
6.124 LG Uplus
6.125 Lincoln Motor Company
6.126 LS Research
6.127 Magneti Marelli
6.128 Mahindra and Mahindra
6.129 MasterCard
6.130 Mazda Motor Corporation
6.131 Mercedes Benz
6.132 MIC (MiTAC International Corporation)
6.133 Michelin
6.134 Microchip Technology
6.135 Microsoft Corporation
6.136 Microtronics
6.137 Minacs
6.138 Mitsubishi Electric Corporation
6.139 Mitsubishi Motors Corporation
6.140 Mobileye
6.141 Modacom
6.142 Mojio
6.143 Multi-Tech Systems
6.144 Murata Manufacturing
6.145 Teletrac Navman Group
6.146 NEC Corporation
6.147 Neoway
6.148 Nissan Motor Company
6.149 NNG
6.150 Nokia
6.151 Novatel Wireless
6.152 Novero
6.153 NTT DoCoMo
6.154 Nuance Communications
6.155 nuTonomy
6.156 Nvidia Corporation
6.157 NXP Semiconductors
6.158 Octo Telematics
6.159 ON Semiconductor
6.160 Openmatics
6.161 Option NV
6.162 Oracle
6.163 Orange
6.164 ORBCOMM
6.165 Panasonic Corporation
6.166 Pandora Media
6.167 Parrot
6.168 Pateo Corporation
6.169 Pioneer Corporation
6.170 Pivotal Software
6.171 Powermat Technologies
6.172 PSA Peugeot Citroen
6.173 QiMing Information Technology
6.174 Qoros Automotive
6.175 Quake Global
6.176 Qualcomm
6.177 Quectel Wireless Solutions
6.178 RealVNC
6.179 Redpine Signals
6.180 Renault (Groupe Renault)
6.181 Renesas Electronics Corporation
6.182 Rogers Communications
6.183 ROHM Semiconductor
6.184 RSA Insurance Group
6.185 RTX A/S
6.186 SAIC Motor Corporation
6.187 Samsung Electronics
6.188 SAP
6.189 Savari
6.190 Scania
6.191 SEAT
6.192 Seeing Machines
6.193 Sierra Wireless
6.194 Silicon Laboratories
6.195 SIMCom Wireless Solutions
6.196 SiriusXM Radio
6.197 SK Telecom
6.198 Skoda Auto
6.199 SoftBank Mobile Corporation
6.200 Sony Corporation
6.201 Spirent Communications
6.202 Spireon
6.203 Sprint Corporation
6.204 STMicroelectronics
6.205 Subaru
6.206 Summit Tech
6.207 Suzuki Motor Corporation
6.208 Synchronoss Technologies
6.209 Tata Elxsi
6.210 Tata Motors
6.211 Tech Mahindra
6.212 Telecom Italia
6.213 Telef=F3nica
6.214 Telenav
6.215 Telenor Group
6.216 TeliaSonera
6.217 Telit Communications
6.218 Telstra Corporation
6.219 Tesla Motors
6.220 TEXA
6.221 TI (Texas Instruments)
6.222 TimaNetworks
6.223 Tobii Technology
6.224 TomTom
6.225 Toshiba Corporation
6.226 Toyota Motor Corporation
6.227 Trafficware
6.228 Uber
6.229 U-blox
6.230 Ubridge
6.231 UIEvolution
6.232 Valeo
6.233 Vehcon
6.234 Veniam
6.235 Verizon Communications
6.236 Vinli
6.237 Visa
6.238 Visteon Corporation
6.239 Vodafone Group
6.240 Voicebox Technologies Corporation
6.241 Volkswagen
6.242 Volvo
6.243 Wireless Logic
6.244 WirelessCar
6.245 WISeKey
6.246 Xilinx
6.247 ZTE
6.248 Zubie
=20
7 Chapter 7: Market Analysis & Forecasts
7.1 Global Outlook of Connected Cars
7.2 Segmentation by Connectivity Model
7.3 Embedded Car Connections
7.3.1 GSM
7.3.2 CDMA-2000
7.3.3 W-CDMA
7.3.4 TD-SCDMA
7.3.5 LTE & 5G
7.3.6 Satellite & Other Technologies
7.4 Tethered Car Connections
7.4.1 Wireless
7.4.2 Wireline
7.5 Integrated Car Connections
7.5.1 Apple CarPlay
7.5.2 Android Auto
7.5.3 MirrorLink
7.5.4 Others
7.6 Segmentation by Application Category
7.6.1 Communications, Infotainment & Payments
7.6.2 Navigation & Location Services
7.6.3 Vehicle Management
7.6.4 Safety & Security
7.6.5 Driver Assistance & Autonomous Driving
7.7 Segmentation by Region
7.7.1 Asia Pacific
7.7.2 Europe
7.7.3 Middle East & Africa
7.7.4 Latin & Central America
7.7.5 North America
7.8 Top Country Markets
7.8.1 Brazil
7.8.2 Canada
7.8.3 China
7.8.4 Egypt
7.8.5 France
7.8.6 Germany
7.8.7 India
7.8.8 Indonesia
7.8.9 Italy
7.8.10 Japan
7.8.11 Mexico
7.8.12 Russia
7.8.13 Saudi Arabia
7.8.14 South Africa
7.8.15 South Korea
7.8.16 UK
7.8.17 USA
=20
8 Chapter 8: Conclusion & Strategic Recommendations
8.1 Why is the Market Poised to Grow=3F
8.2 Competitive Industry Landscape: Acquisitions, Alliances & Consolidation
8.3 Geographic Outlook: Which Countries Offer the Highest Growth Potential=3F
8.4 GSMA=92s Embedded SIM Specification: Accelerating the Adoption of Conne=
cted Cars
8.5 The Role of Mobile Operators
8.5.1 Capitalizing on Connectivity
8.5.2 Innovating Beyond Connectivity: AT&T=92s Drive Platform
8.6 Connected Car Platforms: Moving Towards Cloud Centric Offerings
8.6.1 Consolidating Disparate Functions
8.6.2 Cloud Based Platforms
8.7 Addressing Privacy Concerns: The Stance of Automotive OEMs
8.8 Impact of Government Initiatives
8.9 Smartphone Integration
8.9.1 What Key Offerings Are Available=3F
8.9.2 OEMs Are Keen to Offer Multiple Solutions
8.10 Monetizing the Connected Car Opportunity: The Changing Role of Automot=
ive OEMs
8.10.1 Evolving Business Models
8.10.2 Entering Other Connected Markets
8.11 Integration with Smart Cities
8.12 V2X Networks: Do LTE & 5G Technologies Pose a Threat to 802.11p=3F
8.13 Assessing the Impact of Self-Driving Cars
8.14 Moving Towards In-Vehicle Payments
8.15 Strategic Recommendations
8.15.1 Automotive OEMs
8.15.2 Telematics & Connected Car Platform Specialists
8.15.3 Mobile Operators
=20
List of Figures:
=20
Figure 1: Key Connected Car Applications
Figure 2: Comparison of Key OEM Connected Car Programs
Figure 3: Global Big Data & Analytics Technology Investments in the Automot=
ive Sector: 2016 - 2030 ($ Billion)
Figure 4: Connected Car Industry Roadmap
Figure 5: Connected Car Value Chain
Figure 6: Global Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 7: Global Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 8: Global Connected Car Installed Base by Connectivity Model: 2016 -=
 2030 (Millions)
Figure 9: Global Connected Car Service Revenue by Connectivity Model: 2016 =
- 2030 ($ Billion)
Figure 10: Global Embedded Car Connections: 2016 - 2030 (Millions)
Figure 11: Global Embedded Car Connection Service Revenue: 2016 - 2030 ($ B=
illion)
Figure 12: Global Embedded Car Connections by Technology: 2016 - 2030 (Mill=
ions)
Figure 13: Global GSM Embedded Car Connections: 2016 - 2030 (Millions)
Figure 14: Global CDMA-2000 Embedded Car Connections: 2016 - 2030 (Millions)
Figure 15: Global W-CDMA Embedded Car Connections: 2016 - 2030 (Millions)
Figure 16: Global TD-SCDMA Embedded Car Connections: 2016 - 2030 (Millions)
Figure 17: Global LTE & 5G Embedded Car Connections: 2016 - 2030 (Millions)
Figure 18: Global Satellite & Other Embedded Car Connections: 2016 - 2030 (=
Millions)
Figure 19: Global Tethered Car Connections: 2016 - 2030 (Millions)
Figure 20: Global Tethered Car Connection Service Revenue: 2016 - 2030 ($ B=
illion)
Figure 21: Global Tethered Car Connections by Technology: 2016 - 2030 (Mill=
ions)
Figure 22: Global Wireless Tethered Car Connections: 2016 - 2030 (Millions)
Figure 23: Global Wireline Tethered Car Connections: 2016 - 2030 (Millions)
Figure 24: Global Integrated Car Connections: 2016 - 2030 (Millions)
Figure 25: Global Integrated Car Connection Revenue: 2016 - 2030 ($ Billion)
Figure 26: Global Integrated Car Connections by Technology: 2016 - 2030 (Mi=
llions)
Figure 27: Global Apple CarPlay Connections: 2016 - 2030 (Millions)
Figure 28: Global Android Auto Connections: 2016 - 2030 (Millions)
Figure 29: Global MirrorLink Connections: 2016 - 2030 (Millions)
Figure 30: Global Other Integrated Car Connections: 2016 - 2030 (Millions)
Figure 31: Global Connected Car Service Revenue by Application Category: 20=
16 - 2030 ($ Billion)
Figure 32: Global Connected Car Service Revenue for Communications, Infotai=
nment & Payments: 2016 - 2030 ($ Billion)
Figure 33: Global Connected Car Service Revenue for Navigation & Location S=
ervices: 2016 - 2030 ($ Billion)
Figure 34: Global Connected Car Service Revenue for Vehicle Management: 201=
6 - 2030 ($ Billion)
Figure 35: Global Connected Car Service Revenue for Safety & Security: 2016=
 - 2030 ($ Billion)
Figure 36: Global Connected Car Service Revenue for Driver Assistance & Aut=
onomous Driving: 2016 - 2030 ($ Billion)
Figure 37: Connected Car Installed Base by Region: 2016 - 2030 (Millions)
Figure 38: Connected Car Service Revenue by Region: 2016 - 2030 ($ Billion)
Figure 39: Asia Pacific Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 40: Asia Pacific Connected Car Service Revenue: 2016 - 2030 ($ Billi=
on)
Figure 41: Europe Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 42: Europe Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 43: Middle East & Africa Connected Car Installed Base: 2016 - 2030 (=
Millions)
Figure 44: Middle East & Africa Connected Car Service Revenue: 2016 - 2030 =
($ Billion)
Figure 45: Latin & Central America Connected Car Installed Base: 2016 - 203=
0 (Millions)
Figure 46: Latin & Central America Connected Car Service Revenue: 2016 - 20=
30 ($ Billion)
Figure 47: North America Connected Car Installed Base: 2016 - 2030 (Million=
s)
Figure 48: North America Connected Car Service Revenue: 2016 - 2030 ($ Bill=
ion)
Figure 49: Brazil Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 50: Brazil Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 51: Canada Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 52: Canada Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 53: China Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 54: China Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 55: Egypt Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 56: Egypt Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 57: France Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 58: France Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 59: Germany Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 60: Germany Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 61: India Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 62: India Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 63: Indonesia Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 64: Indonesia Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 65: Italy Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 66: Italy Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 67: Japan Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 68: Japan Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 69: Mexico Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 70: Mexico Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 71: Russia Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 72: Russia Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 73: Saudi Arabia Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 74: Saudi Arabia Connected Car Service Revenue: 2016 - 2030 ($ Billi=
on)
Figure 75: South Africa Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 76: South Africa Connected Car Service Revenue: 2016 - 2030 ($ Billi=
on)
Figure 77: South Korea Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 78: South Korea Connected Car Service Revenue: 2016 - 2030 ($ Billio=
n)
Figure 79: UK Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 80: UK Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 81: USA Connected Car Installed Base: 2016 - 2030 (Millions)
Figure 82: USA Connected Car Service Revenue: 2016 - 2030 ($ Billion)
Figure 83: Connected Car Service Revenue Breakdown by Application Category:=
 2016 (%)
=20
Thank you once again and looking forward to hearing from you.
=20
Kind Regards
=20
Andy Silva
Marketing Executive
Signals and Systems Telecom
andy.silva@snsreports.com
=20

=20

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ribe in the subject line to: remove@snsreports.com

=20




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