Press release
Automotive Remote Diagnostics Market Trends & Global Forecast 2022
Automotive Remote diagnostics Market
Automotive remote diagnostics is a solution to monitor the health of a vehicle, figures the root cause of the issues and also enables the customer to access information about the vehicle. The awareness regarding vehicle diagnostics, the rising demand regarding safety and security of vehicles, and the growing inclination towards premium vehicles are some factors expected to drive the market. In connectivity segment, bluetooth is expected to have largest share in the automotive remote diagnostics market. As bluetooth offers various features and one of them is it connects the vehicle to the internet via smart phone to transfer data from and with server. There are various trends in the market such as integration of mobile phones with telematics systems and vehicle diagnostic-based insurance programs. The global Automotive Remote diagnostics market is expected to show a growth at CAGR of about 16.90% from 2016 to 2022.
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Key Players of Automotive Remote Diagnostics Market:
• Robert Bosch GmbH
• Continental AG
• Delphi Automotive PLC
• Onstar LLC
• Snap-On Inc.
• Magneti Marelli
• Softing AG
• VOXX International Corporation
• Vector Informatik
• Vidiwave Ltd.
Regional Analysis of Global Automotive Remote Diagnostics Market:
The North America region has a largest share in the automotive remote diagnostics market. Also, Asia-Pacific is expected to grow at the highest CAGR during the forecast period. This region is led by China and India due to increasing population, increasing per capita income, improving living standards, and hence increasing demand for purchase of high end vehicles. And this will significantly drive the market of automotive remote diagnostics.
Brief TOC:
1. Report Prologue
2. Introduction
Definition
Scope Of The Study
Research Objective
Assumptions
Limitations
Market Structure
Market Segmentation
3. Research Methodology
Research Process
Primary Research
Secondary Research
Market Size Estimation
Forecast Model
Continue…
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