Edit Content
Bizwit-Logo-Final

Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Automotive Data Logger Market to reach USD 6.53 billion by the end of 2030

Global Automotive Data Logger Market Size study & Forecast, by Channel (CAN & CAN FD, LIN, Flex Ray, Ethernet) By Connection Type (USB, SD Card, Bluetooth/Wi-Fi, Cellular Modem) By Application (On-Board Diagnostics, ADAS & Safety, Fleet Management, Automotive Insurance) By End-Market (OEMs, Service Stations, Regulatory Bodies) and Regional Analysis, 2023-2030

Product Code: ALTST-98116991
Publish Date: 27-06-2023
Page: 200

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.

Major market player included in this report are:
Robert Bosch GmbH (Germany),
Delphi Technologies (the U.K.),
Vector Informatik GmbH (Germany),
Continental Automotive GmbH (Germany),
Harman International (the U.S.),
National Instruments (the U.S.),
TI Tech Computertechnik AGr (Austria),
Intrepid Control Systems, Inc. (the U.S.),
HEM Data Corporation (the U.S.),
Danlaw Technologies India Limited (India),

Recent Developments in the Market:
Ø In February 2023, Bosch Rexroth acquired HydraForce, to further expand the business unit’s product offering and customer support.

Global Automotive Data Logger Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Channel, Connection Type, Application, End-Market, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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:

By Channel

CAN & CAN FD,
LIN
FlexRay
Ethernet

By Connection Type

USB
SD Card
Bluetooth/Wi-Fi
Cellular Modem

By Application

On-Board Diagnostics
ADAS & Safety
Fleet Management
Automotive Insurance
Automotive Data Logger Market

By End-Market
OEMs
Service Stations
Regulatory Bodies

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Automotive Data Logger Market, by Region, 2020-2030 (USD Billion)
1.2.2. Automotive Data Logger Market, by Channel, 2020-2030 (USD Billion)
1.2.3. Automotive Data Logger Market, by Connection Type, 2020-2030 (USD Billion)
1.2.4. Automotive Data Logger Market, by Application, 2020-2030 (USD Billion)
1.2.5. Automotive Data Logger Market, by End-Market, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automotive Data Logger Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automotive Data Logger Market Dynamics
3.1. Automotive Data Logger Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing number of sales of luxury vehicles
3.1.1.2. Growing demand of connected cars
3.1.2. Market Challenges
3.1.2.1. High Cost of Automotive Data Logger
3.1.3. Market Opportunities
3.1.3.1. Rising technological advancements in Automotive Data Logger
3.1.3.2. Rise in the awareness regarding the advantages of data generated by the machines

Chapter 4. Global Automotive Data Logger Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Automotive Data Logger Market, by Channel
5.1. Market Snapshot
5.2. Global Automotive Data Logger Market by Channel, Performance – Potential Analysis
5.3. Global Automotive Data Logger Market Estimates & Forecasts by Channel 2020-2030 (USD Billion)
5.4. Automotive Data Logger Market, Sub Segment Analysis
5.4.1. CAN & CAN FD,
5.4.2. LIN
5.4.3. FlexRay
5.4.4. Ethernet

Chapter 6. Global Automotive Data Logger Market, by Connection Type
6.1. Market Snapshot
6.2. Global Automotive Data Logger Market by Connection Type, Performance – Potential Analysis
6.3. Global Automotive Data Logger Market Estimates & Forecasts by Connection Type 2020-2030 (USD Billion)
6.4. Automotive Data Logger Market, Sub Segment Analysis
6.4.1. USB
6.4.2. SD Card
6.4.3. Bluetooth/Wi-Fi
6.4.4. Cellular Modem
Chapter 7. Global Automotive Data Logger Market, by Application
7.1. Market Snapshot
7.2. Global Automotive Data Logger Market by Application, Performance – Potential Analysis
7.3. Global Automotive Data Logger Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
7.4. Automotive Data Logger Market, Sub Segment Analysis
7.4.1. On-Board Diagnostics
7.4.2. ADAS & Safety
7.4.3. Fleet Management
7.4.4. Automotive Insurance
Chapter 8. Global Automotive Data Logger Market, by End-Market
8.1. Market Snapshot
8.2. Global Automotive Data Logger Market by End-Market, Performance – Potential Analysis
8.3. Global Automotive Data Logger Market Estimates & Forecasts by End-Market 2020-2030 (USD Billion)
8.4. Automotive Data Logger Market, Sub Segment Analysis
8.4.1. OEMs
8.4.2. Service Stations
8.4.3. Regulatory Bodies
Chapter 9. Global Automotive Data Logger Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Automotive Data Logger Market, Regional Market Snapshot
9.4. North America Automotive Data Logger Market
9.4.1. U.S. Automotive Data Logger Market
9.4.1.1. Channel breakdown estimates & forecasts, 2020-2030
9.4.1.2. Connection Type breakdown estimates & forecasts, 2020-2030
9.4.1.3. Application breakdown estimates & forecasts, 2020-2030
9.4.1.4. End-Market breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Automotive Data Logger Market
9.5. Europe Automotive Data Logger Market Snapshot
9.5.1. U.K. Automotive Data Logger Market
9.5.2. Germany Automotive Data Logger Market
9.5.3. France Automotive Data Logger Market
9.5.4. Spain Automotive Data Logger Market
9.5.5. Italy Automotive Data Logger Market
9.5.6. Rest of Europe Automotive Data Logger Market
9.6. Asia-Pacific Automotive Data Logger Market Snapshot
9.6.1. China Automotive Data Logger Market
9.6.2. India Automotive Data Logger Market
9.6.3. Japan Automotive Data Logger Market
9.6.4. Australia Automotive Data Logger Market
9.6.5. South Korea Automotive Data Logger Market
9.6.6. Rest of Asia Pacific Automotive Data Logger Market
9.7. Latin America Automotive Data Logger Market Snapshot
9.7.1. Brazil Automotive Data Logger Market
9.7.2. Mexico Automotive Data Logger Market
9.8. Middle East & Africa Automotive Data Logger Market
9.8.1. Saudi Arabia Automotive Data Logger Market
9.8.2. South Africa Automotive Data Logger Market
9.8.3. Rest of Middle East & Africa Automotive Data Logger Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. SRobert Bosch GmbH (Germany)
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. Delphi Technologies (the U.K.),
10.3.3. Vector Informatik GmbH (Germany),
10.3.4. Continental Automotive GmbH (Germany),
10.3.5. Harman International (the U.S.),
10.3.6. National Instruments (the U.S.),
10.3.7. TI Tech Computertechnik AGr (Austria),
10.3.8. Intrepid Control Systems, Inc. (the U.S.),
10.3.9. HEM Data Corporation (the U.S.),
10.3.10. Danlaw Technologies India Limited (India),

Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com

Checkout

Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.

Enquiry Now