PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1300824
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1300824
Global Automotive Data Logger Market is valued approximately at USD 3.8 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 7% over the forecast period 2023-2030. An automotive data logger is a device used to collect and record various data from vehicles. It is typically used in automotive research, development, and testing processes. The data logger captures information such as vehicle speed, engine RPM, acceleration, braking, temperature, GPS coordinates, and other relevant parameters. The Automotive Data Logger market is expanding because of factors such as increasing number of sales of luxury vehicles and growing demand of connected cars. Automotive data loggers are invaluable tools for automotive engineers, manufacturers, and researchers as they provide essential insights into vehicle performance, efficiency, and safety. The recorded data can help in diagnosing issues, evaluating vehicle performance under different conditions, validating new designs, and conducting thorough post-event analysis in motorsports. Its importance has progressively increased during the last few decades.
According to the Statista, BMW was the world's leading luxury car brand, with 2.4 million vehicle deliveries. In the meantime, Volkswagen delivered approximately 1.61 million automobiles under the Audi brand in 2021. Furthermore, Luxury car sales in India reached up to 27.6 thousand units in 2021. Another important component driving space increase is demand of connected cars. As per Statista, in 2020, around 48 percent of all new cars shipped that year had built-in connectivity. It is projected that by 2030, this share will double. By 2030, it is projected that 96 % of all new automobiles sold worldwide will be connected vehicles. In addition, more than 330 million devices in the United States are predicted to be connected to the internet by 2035, either in multiple ways or via embedded, tethered, or smartphone integration. The United States is expected to have the greatest penetration rate of linked automobiles in 2035, at over 97%. Also, rising technological advancements in Automotive Data Logger and rise in the awareness regarding the advantages of data generated by the machines would create a lucrative growth prospectus for the market over the forecast period. However, the high cost of Automotive Data Logger stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Automotive Data Logger Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to growing popularity of the logistics industry in the United States is encouraging service providers to increase the quality of their offerings. According to the Statista, it is expected that the cold chain logistics market in North America will reach USD 142.6 billion by 2024. Europe is expected to grow significantly during the forecast period, owing to factors such as a rise in awareness regarding the advantages of data generated by the machines in the market space.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of tables and figures and dummy in nature, final lists may vary in the final deliverable