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Analysis of Key Market Segments Influencing the Automotive Data Logger Market
Automotive Data Logger Market
Projected Market Value and Growth Drivers for the Automotive Data Logger Market
The size of the automotive data logger market is anticipated to reach $5.62 billion by 2030, growing at a compound annual growth rate (CAGR) of 6.9%. This upward trend is fueled by the rise of connected vehicles, the increasing adoption of Advanced Driver Assistance Systems (ADAS), expansion in autonomous vehicle testing, and the growing demand for real-time data analytics. Additionally, the push towards electric vehicles is creating new data requirements, further accelerating market growth. Key trends expected to influence the market include wider use in vehicle testing and validation, growth in fleet telematics, integration with ADAS development, demand for multi-channel data capture, and expanding applications in insurance analytics.
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Top Companies Leading the Automotive Data Logger Market
Several prominent companies are key players in the automotive data logger industry. These include Samsung Electronics Co. Ltd, Robert Bosch GmbH, Continental AG, Aptiv Plc, Infineon Technologies AG, Harman International Industries Inc, Keysight Technologies, Xilinx Inc, Moog Inc., Horiba Ltd, National Instruments Corporation, Delphi Technologies, Danlaw Technologies India Limited, TTTech Computertechnik AG, dSPACE GmbH, Intrepid Control Systems Inc., Vector Informatik GmbH, Dewesoft d.o.o., myKaarma Ltd, Pico Technology, Ipetronik GmbH & Co. KG., Autel Intelligent Technology Corp. Ltd, RACELOGIC Ltd, Xylon, Grant Instruments Ltd, MadgeTech Inc., Lascar Electronics Ltd, Influx Technology Ltd, HEM Data Corporation, NSM Solutions, and Transtron Inc.
In an effort to enhance data-logging capabilities, in January 2024, the US-based connected vehicle technology firm Sibros partnered with Continental Engineering Services. This collaboration aims to integrate Sibros' Deep Connected Platform with Continental's IoT-gateway hardware. The partnership will enable advanced over-the-air (OTA) updates, remote diagnostics, and real-time vehicle-to-cloud data analytics, expanding support across a wider range of commercial and passenger vehicles. Continental Engineering Services, headquartered in Germany, specializes in automotive data-logging solutions.
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Innovations and Emerging Technologies in Automotive Data Logging
Leading companies in the automotive data logger market are focusing on developing cutting-edge technologies to match the increasing complexity of vehicle electronic architectures. One such innovation is the TRX D8 2.0, a device designed to collect, record, and store extensive vehicle data for performance, safety, and efficiency analysis. In June 2023, Klas, an engineering and design firm based in Ireland, introduced this product. The TRX D8 2.0 supports PCIe and network-based logging, offers up to 200 GB of data capture, 240 TB of storage capacity, and boasts disk write speeds as fast as 200 GB per second. It features adaptable vehicle data logging, a rugged build, high-performance processing, hot-swappable storage, and rapid disk write speeds. These attributes make it a highly versatile solution aimed at accelerating progress toward Level 5 autonomy by providing robust processing power, high-speed storage, and flexible connectivity options.
Breakdown of Key Segments in the Automotive Data Logger Market
The automotive data logger market is categorized into several major segments for a comprehensive understanding of its landscape:
1) By Component: Hardware and Software
2) By Channels: Controller Area Networking (CAN), Local Interconnect Network (LIN), Ethernet, and Other Channels
3) By Connection Type: Universal Serial Bus (USB), Secure Digital Card, Bluetooth or Wi-Fi, Cellular Modem
4) By Sales Channel: Aftermarket and Original Equipment Manufacturer (OEM)
5) By Application: On-Board Diagnostics, Advanced Driver Assistance Systems (ADAS) and Safety, Fleet Management, and Automotive Insurance
Further subsegments under hardware include data acquisition units, sensors, memory storage devices, interface modules, signal conditioners, and power supply units. Software subcategories comprise data management software, data analysis software, data visualization software, cloud-based data logging software, and diagnostic and reporting software, each playing a crucial role in the overall data logging ecosystem.
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