Global Automotive Electronics Technology Intelligence Market

Table of Contents

"1 Executive Summary   
    
2 Research Methodology   
 2.1 Research Methodology  
 2.2 Research Objectives  
 2.3 Data Sources  
 2.4 Scope of the Study  
 2.5 Assumptions & Limitations  
    
3 Industry Technology Overview   
 3.1 Technology Landscape  
 3.2 Technology Evolution  
 3.3 Automotive Electronics Technology Value Chain  
 3.4 Key Technology Drivers  
 3.5 Technology Challenges  
 3.6 Regulatory Landscape  
 3.7 Innovation Trends  
    
4 Technology Landscape Analysis   
 4.1 Automotive Electronics Technologies  
 4.2 Advanced Automotive Electronics Technologies  
 4.3 Emerging Automotive Electronics Technologies  
 4.4 Technology Maturity Assessment  
 4.5 Technology Adoption Trends  
 4.6 Technology Readiness Levels (TRL)  
    
5 Innovation Benchmarking   
 5.1 Leading Technology Developers  
 5.2 R&D Investments  
 5.3 Technology Portfolio Comparison  
 5.4 Innovation Strategies  
 5.5 Research Collaborations  
 5.6 University & Research Institute Activities  
    
6 Technology Development Intelligence   
 6.1 Technology Roadmap  
 6.2 Product Innovations  
 6.3 Commercialization Landscape  
 6.4 Technology Licensing  
 6.5 Industry Standardization  
 6.6 Future Technology Pipeline   
    
7 Patent & Intellectual Property Overview   
 7.1 Patent Landscape  
 7.2 Patent Filing Trends  
 7.3 Leading Patent Holders  
 7.4 Technology Domains  
 7.5 Innovation Hotspots  
    
8 Strategic Developments   
 8.1 Partnerships  
 8.2 Joint Ventures  
 8.3 Acquisitions  
 8.4 Government Programs  
 8.5 Research Funding  
 8.6 Future Initiatives  
    
9 Regional Technology Analysis   
 9.1 North America  
 9.2 Europe  
 9.3 China  
 9.4 Japan  
 9.5 South Korea  
 9.6 India  
 9.7 Southeast Asia  
 9.8 Other Regions  
    
10 Emerging Technologies & Startups   
 10.1 High-Growth Companies  
 10.2 University Spin-offs  
 10.3 Startups by Region  
 10.4 Venture Capital Activity  
 10.5 Unicorn Tracking  
 10.6 Disruptive Technologies  
    
11 Future Technology Outlook   
 11.1 White Space Analysis  
 11.2 Threat Analysis  
 11.3 Opportunity Mapping  
 11.4 Future Leaders  
 11.5 Strategic Recommendations  
    
12 Company Profiles   
 12.1 Robert Bosch GmbH  
 12.2 Continental AG  
 12.3 DENSO Corporation  
 12.4 Aptiv PLC  
 12.5 ZF Friedrichshafen AG  
 12.6 Valeo SE  
 12.7 Panasonic Automotive Systems Co., Ltd.  
 12.8 Harman International Industries, Incorporated  
 12.9 Visteon Corporation  
 12.10 Qualcomm Incorporated
 12.11 Infineon Technologies AG  
 12.12 NXP Semiconductors N.V.  
 12.13 Renesas Electronics Corporation  
 12.14 STMicroelectronics N.V.  
 12.15 Texas Instruments Incorporated  
 12.16 NVIDIA Corporation  
 12.17 Analog Devices, Inc.  
 12.18 Microchip Technology Incorporated  
 12.19 ON Semiconductor Corporation  
 12.20 Sony Semiconductor Solutions Corporation  
 12.21 Hyundai Mobis Co., Ltd.  
 12.22 LG Electronics Inc.  
 12.23 Marelli Holdings Co., Ltd.  
 12.24 Autoliv Inc.  
 12.25 Forvia SE  
    
13 List of Tables   
 Table 1 Automotive Electronics Technology Landscape   
 Table 2 Technology Evolution and Roadmap   
 Table 3 Automotive Electronics Technology Portfolio Comparison   
 Table 4 Technology Maturity Assessment   
 Table 5 Technology Readiness Level Assessment   
 Table 6 Leading Technology Developers   
 Table 7 R&D Investment and Innovation Comparison   
 Table 8 Emerging Automotive Electronics Technologies  
    
14 List of Figures   
 Fig 1 Automotive Electronics Technology Value Chain   
 Fig 2 Global Automotive Electronics Technology Ecosystem 
 Fig 3 Automotive Electronics Technology Evolution Roadmap   
 Fig 4 Technology Adoption Trend   
 Fig 5 Technology Readiness Assessment   
 Fig 6 Regional Technology Development Landscape   
 Fig 7 Research Collaboration Network   
 Fig 8 Emerging Automotive Electronics Technology Pipeline   
 

List of Figures

RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

• Product Lifecycle Analysis
• Competitor analysis
• Risk analysis
• Porters Analysis
• PESTEL Analysis
• SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.

Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

• Leading Companies
• Suppliers & Distributors
• Manufacturers
• Consumers
• Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.

For more details about research methodology, kindly write to us at info@strategymrc.com

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