Press release
Impact of COVID-19 on Automotive Predictive Diagnostic System Market
Predictive diagnostic system provides complete information about condition of various parts of vehicle. Vehicle breakdown can be avoided by using this information through predictive diagnostics. An automotive diagnostic system offers several advantages such as prevention of critical component failure, monitoring the health of the component for maintenance, reduced maintenance and servicing cost, and optimized vehicle performance.Obtain Report Details @ https://www.transparencymarketresearch.com/automotive-predictive-diagnostic-system-market.html
Sensors continuously collect information from various components of a vehicle and transmit the collected information to a main control unit. The intelligent pre-selection bounds the data by using controller area network bus. The main control unit analyzes the data and transfers it to the main central server. An analysis software generates accurate data on the main central server. Then, by analyzing data, the software calculates the remaining life of various components.
Increase in demand for safety in all types of vehicles for optimized vehicle performance, high adoption of safety systems for comfortable driving experience, and prevention of breakdown time of vehicles are anticipated to drive the automotive predictive diagnostic system market during the forecasted period. However, being highly technical product and high cost of automotive predictive diagnostic system is anticipated to hinder the expansion of the market during the forecast period.
The automotive predictive diagnostic system market can be segmented based on application, vehicle, technology, and region. Based on application, the automotive predictive diagnostic system market can be divided into engine, break system, exhaust system, oil pump, starter battery, power electronics, belts and chains, fuel injection components, transmission, and air system.
The engine is an important component of a vehicle, which performs the crucial task of generating power to drive the vehicle. A predictive diagnostic system provides precise information about the condition of engine components, remaining life of components, and overall health of the engine. The engine segment dominated the overall automotive predictive diagnostic system market and is anticipated to maintain its dominance during the forecasted period.
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In terms of vehicle, the automotive predictive diagnostic system market can be segmented into passenger vehicle and commercial vehicle. The passenger vehicle segment is further sub-segmented into SUVs, MUVs, sedans, and hatchbacks. SUVs and sedans contain all safety features that provide better driving comfort. Sedans and SUVs sub-segments are estimated to dominate the automotive predictive diagnostic system market during the forecast period owing to the rise in sales of sedans and SUVs across the globe.
Based on technology, the automotive predictive diagnostic system market can be segregated into controller area network (CAN) and local interconnect network (LIN). CAN network provides several advantages such as low cost, lightweight network, noise-free transmission of signal, and error-free transmission. The CAN network segment dominated the overall automotive predictive diagnostic system market and is anticipated to maintain its dominance during the forecast period.
In terms of region, the automotive predictive diagnostic system market can be segmented into North America, Europe, Middle East & Africa, and Asia Pacific. Asia Pacific is estimated to be a prominent market for automotive predictive diagnostic system during the forecast period. Increased production of automobiles, higher adoption of advanced technologies in automotive electronics, and rapid increase in number of semi-autonomous and autonomous vehicles are expected to boost the demand for the automotive predictive diagnostic systems in this region.
Key players operating in the automotive predictive diagnostic system market are Robert Bosch GmbH, Continental AG, KPIT® Technologies Ltd, General Motors, Continental Automotive GmbH, Siemens AG, and Delphi Tech.
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