Emphasis on Channel (Controller Area Networking (CAN & CAN FD), Local Interconnect Network (LIN) and Flex Ray and Ethernet); End Market (OEMs, Service Stations and Regulatory Bodies); Application (Post-Sales and Pre-Sales); Connection Type (SD Card, USB and Bluetooth/WIFI); Region and Country
Global Automotive Data Logger Market is anticipated to display a CAGR of around ~7.5% over the forecast period (2021-2027). Modern car data loggers are more expensive than traditional OBD-I systems. However, data loggers that simply support CAN and LIN channels are less expensive than those that handle all of the major channels (CAN, LIN, FlexRay, and Ethernet). This is also dependent on the amount of analog and digital inputs that data loggers can accommodate. OEMs are always pressuring data logger vendors to reduce device pricing while preserving device quality. Additionally, as their efforts toward building autonomous and connected vehicles have expanded dramatically, OEMs are increasingly requesting data recorders that cover all channels. Because the automobile data logger business is particularly price-sensitive, the rising cost of data loggers is a source of concern in growing countries. The rise of automotive network connectivity exposes vehicle to dangers. Even the most fundamental tasks of a car are now reliant on electronics and software, with 30 to 40 million lines of code in low-end vehicles and 100 million lines of code in high-end vehicles; and the CAN bus is the heart of this network. However, this bus module was not designed for assuring cybersecurity when it first appeared 30 years ago. As a result, hackers can easily compromise the vehicle’s and its occupants’ safety and security by reverse-engineering the CAN bus.
Insights Presented in the Report
“Amongst Channel, Controller Area Networking (CAN & CAN FD) segment dominated the market in 2020”
Based on channel, the market is segmented into Controller Area Networking (CAN & CAN FD), Local Interconnect Network (LIN), and Flex Ray and Ethernet. The Controller Area Networking (CAN & CAN FD) segment generated revenue of USD XX billion in 2020 and is expected to grow at a CAGR XX% during the forecasted period. CAN & CAN FD is a data-communication protocol that is commonly used in electronic instrumentation and control systems to broadcast sensor data and control information across two-wire links. Automakers may transport data and allow connections at 1 Mbps with a high level of data integrity using CAN and CAN FD. As a result, the category is predicted to maintain its dominance during the prediction period
“Amongst End Market, Regulatory Bodies segment dominated the market in 2020”
Based on end market, the market is segmented into OEMs, Service Stations, and Regulatory Bodies. The Regulatory Bodies segment generated revenue of USD XX billion in 2020 and is expected to grow at a CAGR XX% during the forecasted period. This can be linked to the fact that the industry is heading toward self-driving and environmentally friendly vehicles. As a result, existing regulations and rules must be revised, and various new laws and regulations must be enacted. For this, the regulating organizations would need to have a thorough understanding of how these modern cars operate, which would necessitate the use of data recorders at their test labs
“Amongst Application, Pre-Sales segment dominated the market in 2020.”
Based on application, the market is segmented into Post-Sales and Pre-Sales. The Pre-Sales segment generated revenue of USD XX billion in 2020 and is expected to grow at a CAGR XX% during the forecasted period. Because data loggers are widely used in the automotive industry during the pre-sale stage due to their ease of use, reliability, and understandability of the obtained information, the segment of pre-sales applications is rapidly growing. They significantly reduce OEMs’ efforts during lab and on-road testing, as well as their time to market for new goods and technologies
“Amongst Connection Type, USB segment dominated the market in 2020.”
Based on connection type, the market is segmented into SD Card, USB, and Bluetooth/WIFI. The USB segment generated revenue of USD XX billion in 2020 and is expected to grow at a CAGR XX% during the forecasted period. The USB interface dominates the global market because it quickly and easily transports data from automobile data loggers to reading devices such as cell phones, laptops, and computers. Similarly, the data logger is the most dependable and cost-effective way of data sharing
“North America represents the largest market.”
During the projection period, the North America is expected to have largest market share in 2020. North America region is a pioneer in numerous technologies, even if they are expensive. Data logger technology takes into account a wide range of parameters when evaluating a vehicle’s performance, with data on numerous vehicle metrics being sold at a greater price. Furthermore, the ability to operate such equipment necessitates highly skilled employees. As a result, gathering data from the data logger and giving the training to upskill personnel on the technology has proven to be an expensive operation, limiting the potential use of data logger in the automobile industry. In some regions of Asia-Pacific, Latin America, the Middle East, and Africa, the high cost of data collecting systems from data loggers in automobiles is impeding market expansion. People in North America, on the other hand, respond swiftly to new technology that enters the market and are sometimes referred to as early adopters of new technology. The automotive data logger is also in its early stages, and it is projected that the region will expand the most in comparison to other regions over the forecast period. Some of the major players operating in the market include Aptiv PLC, Delphi Technologies, Continental AG, CSS Electronics, Harman International, ABB Ltd, Influx Technology, IPETRONIK GmbH & Co. KG, Intrepid Control Systems, Inc. and Robert Bosch GmbH etc.
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1. Market Introduction
2. Research Methodology Or Assumption
3. Market Synopsis
4. Executive Summary
5. Automotive Data Logger Market Covid-19 Impact
6. Automotive Data Logger Market Revenue, 2019-2027f
7. Market Insights By Channel
8. Market Insights By End Market
9. Market Insights By Application
10. Market Insights By Connection Type
11. Market Insights By Region
12. Automotive Data Logger Market Dynamics
13. Automotive Data Logger Market Opportunities
14. Automotive Data Logger Market Trends
15. Legal & Regulatory Framework
16. Demand And Supply Side Analysis
17. Value Chain Analysis
18. Competitive Scenario
19. Company Profiled
20. Disclaimer
Research Methodology for Automotive Data Logger Market (2020-2027)
Governments all across the world are concentrating on reducing their countries’ carbon footprints. In addition, policymakers are using regulations to build charging infrastructure across the region. The adoption of electric vehicles is gaining ground around the world. Manufacturers of automotive data loggers must keep pace with this increase in demand in order to create and build EV data loggers that can measure EV controllers, batteries, brake systems, battery performance, lighting systems, HVAC, and infotainment. The automotive sector, on the other hand, wants to test automated vehicles to improve the travel experience while maintaining safety. Autonomous vehicles employ a variety of sensor technologies to track and analyze vehicle performance, which can provide attractive prospects for vendors in the worldwide automotive data logger market. Data loggers for ADAS features are in high demand due to the growing reliance on ADAS systems for increased road safety. The testing and validation of vast amounts of data generated by sensors such as ultrasonic, lidar, laser, radar, and video-based systems is a major difficulty in ADAS testing. Using cloud-based data recorders, this problem can be solved. In ADAS testing-based systems, both hardware and software techniques are used. Software in the Loop (SIL), Hardware in the Loop (HIL), and Driver in the Loop (DIL) testing can all be used.
Seek More Details About Research Methodology
The automobile sector is undergoing tremendous change, with connected and autonomous vehicles on the horizon. Through an onboard network of sensors, these cars generate massive volumes of data. OEMs can use vehicle data to develop new revenue streams and improve the capabilities of connected vehicles, such as usage-based insurance (UBI), real-time analytics, data marketplaces/monetization, and more. The demand for data loggers for testing, performance evaluation, and data collection is increasing as a result of these new potential revenue streams and the growing popularity of connected automobiles. The worldwide automotive data logger market is being driven by these various applications. Automobile manufacturers are modifying their vehicles with a complex network of electronic components that enhance safety and riding comfort due to rapid changes in the regulatory landscape and customer expectations. The increasing modernization of automotive systems creates a favourable environment for data logger integration. As a result, changing vehicle electrical architecture is propelling the global automotive data logger industry.
Analysis of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
A detailed secondary study was conducted to obtain the historical market size of the Automotive Data Logger through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the Automotive Data Logger, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments included in the report are channel, end market, application, connection type. Further regional & country-level analyses were conducted to evaluate the overall adoption of the Automotive Data Logger in the global context.
Step 3: Factor Analysis:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size. Further, we conducted factor analysis using dependent and independent variables such as growing government incentives and demand for eco-friendly transportation, etc. Historical trends and their year-on-year impact on the market size and share were analyzed. Demand and the supply-side scenario were also thoroughly studied.
Current Market Size Estimate & Forecast
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the market, and market shares of the segments and company. All the required percentage split and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the bottom-up approach were applied to arrive at the market forecast to 2027 for different segments and subsegments across the major regions globally. The research methodology adopted to estimate the market size encompasses:
Market Size and Share Validation
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major countries. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Split of Primary Participants in Different Regions
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the Automotive Data Logger. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of elevation system, type, product type, structure, and region.
The main objective of the Automotive Data Logger Study
The current & future market trends of the Automotive Data Logger were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends would determine the overall attractiveness of the market at a regional & country level, providing a platform for the industrial participant to exploit the untapped market to benefit as a first-mover advantage. Other quantitative goals of the studies include:
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