Automakers across the globe have begun providing embedded vehicle connectivity nearly twenty-five years back as niche security and safety providers for top-class vehicles. According to the reports, almost 30 million vehicles will likely be sold with embedded connectivity backing various customer services such as infotainment, marketplace shopping, remote access, and navigation. At present, OEMs are seeing automotive data logging for linked automobile value creation beyond conventional sources of revenue such as data and subscription sales. With the rapid growth in the adoption of automotive data loggers across the globe, the MRFR analysis reports suggest that the global market will acquire a valuation of approximately USD 5.75 billion by the end of 2027. According to these reports, the market is anticipated to flourish at a robust CAGR of over 7.2% during the assessment timeframe.

Each market sector utilizes data for improvement in decisions, and the automotive sector is different than others. Connected vehicle data offers OEMs an accurate and deep understandings of how the products are being used and performing. When appropriately used, the data can offer a general competitive benefit for OEMs to boost design, manufacturing, and quality and helps in saving millions of dollars per year.

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Automobile data logging has been considered an extra feature of connected vehicles. Earlier, data assortment was a static number of data elements collected and sent to the OEMs data warehouse at a particular period. At present, OEMs should back off from the feature mentality and start looking at it as a vital technology enabler to prevent trailing in the competition. Let’s take a closer look at the data logging technology.

If OEMs invest in Smart Data Logging, they can maximize their return on investment in connected vehicle technology and avoid setbacks of collecting the wrong data, being overwhelmed by too much data, or having insufficient data.

Smart Data Logging: Definition

Smart data logging consists of a complete procedure of observing and keeping track of the information on the automobile with related accuracy to get a precise representation of the characteristic in question. It is flexible and challenging as it allows stakeholders to distantly program vehicles to get data elements, accomplish logging analysis and then transmit only the related data required for decision making.

A significant issue with massive data logging in connected vehicles is the higher wireless costs of moving massive amounts of data for a vast convoy of vehicles. With data logging technology, companies can benefit a lot through accessing all data from the automobile, but just analyzing, storing, sending, and logging the data, which is related for actionable understandings. The accuracy enables OEMs to not only log data but log the correct data. By lowering and selecting the data just what is relevant and mandatory, they can offer improved support to their teams and effectively control costs and data transmission.

Smart Data Logging: Principles

A smart data logging system includes all the following characteristics:
• Access to each message or signal on the vehicle
• Remote arrangement to
1. Capture precise internal ECU memory and messages
2. Capture and examine the information
3. Have a rule-based engine for data transmission
protocols and data transmission
4. Carry out several autonomous data collection errands
5. Focus on the vehicle or individual fleets
• Back-office data storage enables third parties or stakeholders to have real-time and easy access through contextually eloquent APIs

Automotive Smart Data Logging: Examples

Here are some of the top examples of smart data logging systems in the automotive industry:
• Advanced Driver Assistance Systems (ADAS)
It is a sample of a data-intensive feature that is rapidly becoming mainstream among all automobiles and trim levels. The demand for validation and testing is extraordinary for these extremely safe and automated crucial characteristics. The manufacturers should be capable of examining the accumulated data to observe the systems’ performance with actual customers across all driving circumstances.
• Adaptive Cruise Control
Using these systems has reduced CO2 emissions compared with regular user driving habits. With these systems, manufacturers can measure by a customer how frequently and how elongated the adaptive cruise control has been involved.
• Feature Usage Monitoring
Smart data logging is highly used to see how the system operates or uses. As automobiles remain to have the latest characteristics added, manufacturers battle with training customers regarding the use and, in some instances, finding they even occur. Connected Infotainment systems offer plenty of characteristics from downloadable applications, Bluetooth streaming, satellite radio, and others.

Source: https://www.marketresearchfuture.com/reports/automotive-data-logger...