Asia-Pacific automotive data logger market is anticipated to exhibit considerable CAGR of 7.5% during the forecast period. The rising adoption of the advanced electronic component in the trending and upcoming vehicle architecture is a key factor driving the growth of the Asia-Pacific automotive data logger market. This is due to the fact that the advanced electronic components facilitates in collecting crucial vehicle data. An automotive data logger facilitates in holding vehicle data that holds huge potential for OEMs to find new revenue paths and enables them to expand the capabilities of their connected vehicle portfolios by use of real-time analytics, Usage-Based Insurance (UBI) and data marketplaces/monetization.
In Asia-Pacific, China & Japan are actively involved in promoting citizens to adopt electric vehicle by offering a different types of subsidies and incentives. For instance, in April 2018, the panel set up by the trade ministry made an announcement about the aim of the Japanese central government to have all new cars sold in Japan is electric or hybrid vehicles by 2050. Such type of cohesive government policies to increase the share of electric vehicles on the roads is further anticipated to drive the growth of the Asia-Pacific autonomous data logger market.
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Market Coverage
- Market number available for – 2022-2030
- Base year- 2022
- Forecast period- 2023-2030
Segment Covered-
- By Application
- By Connection Type
- By Channel
- By End-User
Asia-Pacific Automotive Data Logger Market Report Segment
By Application
- Advanced Driver-Assistance Systems (ADAS)
- Automotive insurance
- Fleet management
- On-Board Diagnostics (OBD)
By Connection Type
- Bluetooth
- WIFI
- USB
By Channels
- Can & Can FD
- LIN
- Flexray
- Ethernet
By End-User
- OEMs
- Regulatory Bodies
- Service Stations
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Asia-Pacific Automotive Data Logger Market by Region
- China
- Japan
- India
- South Korea
Rest of Asia-Pacific
Company Profiles
- Aptiv Plc
- Autel Intelligent Technology Corp., Ltd.
- Continental AG
- Danlaw Technologies India Ltd.
- Delphi Technologies
- Moog Inc.
- National Instruments Corp.
- Racelogic Ltd.
- Robert Bosch GmbH
- Samsung Electronics Co., Ltd.
- Transtron Inc.
- TTTechComputertechnik AG
- Xilinx, Inc.
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