Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Research Methodology
1.3. Research Scope & Assumption
1.4. Information Procurement
1.4.1. Purchased Database
1.4.2. GVR’s Internal Database
1.4.3. Secondary Sources & Third-Party Perspectives
1.4.4. Primary Research
1.5. Information Analysis
1.5.1. Data Analysis Models
1.6. Market Formulation & Data Visualization
1.7. Data Validation & Publishing
Chapter 2. Automotive Sensors Market Intelligence
2.1. Category Definition
2.2. Category Intelligence
2.2.1. Market Size
2.2.2. Trends
2.2.3. Drivers
2.2.4. Challenges
2.2.5. Segmental Outlook
2.2.6. Regional Outlook
2.3. Technology
2.3.1. Emerging Technology
2.3.2. Best Practices in the Industry
2.4. Regulatory Landscape
2.5. Porter’s Five Forces Analysis
2.5.1. Bargaining power of suppliers
2.5.2. Bargaining power of buyers
2.5.3. Threat of substitutes
2.5.4. Threat of new entrants
2.5.5. Competitive rivalry
Chapter 3. Automotive Sensors Market Supplier Intelligence
3.1. Identification of top 12 suppliers
3.1.1. Allegro MicroSystems, Inc.
3.1.2. BorgWarner Inc.
3.1.3. Continental AG
3.1.4. Delphi Technologies
3.1.5. Denso Corporation
3.1.6. Infineon Technologies AG
3.1.7. NXP Semiconductors N.V.
3.1.8. Panasonic Corporation
3.1.9. Robert Bosch GmbH
3.1.10. Sensata Technologies, Inc
3.1.11. TE Connectivity
3.1.12. Valeo S.A.
3.2. Automotive Sensors Supply Chain Analysis
3.3. Automotive Sensors Supplier Landscape
3.4. Automotive Sensors Supplier Ranking Methodology
3.4.1. Supplier Operational Capabilities
3.4.1.1. Geographical Service Presence
3.4.1.2. Industry Served
3.4.1.3. Years in Service
3.4.1.4. Employee Strength
3.4.1.5. Revenue Generated
3.4.1.6. Certifications
3.4.2. Supplier Functional Capabilities
3.4.2.1. Micro-Electromechanical
3.4.2.2. Radar Technology
3.4.2.3. Lidar Technology
3.4.2.4. Chrome Data Auto Planner
3.4.2.5. Integrated Storage
3.4.2.6. Number of Production Units
3.4.2.7. Others
3.5. Automotive Sensors Supplier Scoring Criteria
3.6. Automotive Sensors Supplier Positional Matrix (SPM)
3.6.1. Rulers
3.6.2. Challengers
3.6.3. Loungers
3.6.4. Niches
3.7. Automotive Sensors Supplier Market Concentration
3.7.1. Industry structure
3.8. Recommended Automotive Sensors Suppliers
3.8.1. Supplier 1 with detailed profile
3.8.2. Supplier 2 with detailed profile
3.8.3. Supplier 3 with detailed profile
Chapter 4. Competitive Landscape
4.1. Recent Supplier Developments with Measured Impact
4.1.1. Joint Ventures
4.1.2. Mergers & Acquisitions
4.1.3. Collaborations or Partnerships
4.1.4. Other major developments
4.2. Supply-Demand Analysis
4.2.1. Supply Analysis
4.2.2. Demand Analysis
Chapter 5. Automotive Sensors Pricing and Cost Intelligence
5.1. Cost Structure Overview
5.1.1. Raw Materials
5.1.2. Labor
5.1.3. Hardware
5.1.4. Software
5.1.5. R&D
5.1.6. Others
5.2. Pricing Intelligence
5.2.1. Factors Influencing the Prices for Automotive Sensors
5.2.2. Pricing Model Analysis
5.2.2.1. Absorption costing or,
5.2.2.2. Variable pricing or,
5.2.2.3. Competitive pricing or,
5.2.2.4. Fixed pricing or,
5.2.2.5. Others
5.2.3. Automotive Sensors Prices - Supplier’s Quotation
Chapter 6. Sourcing Intelligence
6.1. Engagement Model
6.1.1. Fully Outsourcing Model or,
6.1.2. Partial/Hybrid Outsourcing Model or,
6.1.3. In-house Product Development Model or,
6.1.4. Shared Service Model
6.2. Operating Model
6.2.1. Basic Provider or,
6.2.2. Approved Provider or,
6.2.3. Performance-based Model or,
6.2.4. Others
6.3. KPI/SLA Elements
6.4. Negotiation Strategies
6.5. LCC/BCC Sourcing Analysis
6.5.1. Germany
6.5.2. Japan
6.5.3. China
6.5.4. India
6.5.5. Vietnam
6.5.6. Insights on top 2 LCC/BCC Countries
Component wise cost break down for better negotiation for the client, highlights the key cost drivers in the market with future price fluctuation for different materials (e.g.: steel, aluminum, etc.) used in the production process
Offering cost transparency for different products / services procured by the client. A typical report involves 2-3 case scenarios helping clients to select the best suited engagement with the supplier
Determining and forecasting salaries for specific skill set labor to make decision on outsourcing vs in-house.
A typical newsletter study by capturing latest information for specific suppliers related to: M&As, technological innovations, expansion, litigations, bankruptcy etc.