According to a new report Global Automotive Data Logger Market, published by KBV research, The Global Automotive Data Logger Market size is expected to reach $4.3 billion by 2026, rising at a market growth of 6.6% CAGR during the forecast period.
The ADAS & safety segment is estimated to be the biggest market in the segment of the post-sales application. It is because autonomous vehicles are playing an important role in the modern automotive industry in which the advanced ADAS features like automatic emergency braking (AEB) and adaptive cruise control (ACC) are very important. The data loggers support ADAS application is increasing at a high rate due to the advancement in the ADAS features.
The CAN & CAN FD category was the dominant segment in the automotive data logger market on the basis of channels. A high-speed controlled area network (HS-CAN) is among the most frequently used communication interfaces in automobiles. It enables a communication speed of up to 1 Mbps and a great level of data integrity.
The North America market dominated the Global Automotive Data Logger Market by Region 2019. Europe is a very profitable market and is expected to rise as the fastest-growing region. This region adapted electronic architectures for the automotive industry. It has also observed an increase in the demand for electric vehicles that showed a similar trend in the nearby future. Some of these factors are contributing a lot to the boost of the automotive data logger market during the forecasted period. Additionally, The Asia Pacific market is showcasing a CAGR of 7.2% during (2020 - 2026).
Full Report: https://www.kbvresearch.com/automotive-data-logger-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Samsung Electronics Co., Ltd. (Samsung Group), National Instruments Corporation, Continental AG, Aptiv PLC, Xilinx, Inc., Moog, Inc., Horiba Ltd., Racelogic Ltd., Autel Intelligent Technology Corp., Ltd. and TTTech Group.
By Application
By Connection Type
By Channels
By End User
By Geography
Companies Profiled
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