The automotive imaging radar market is anticipated to expand its roots at a strong CAGR of 23.61% between 2023 and 2033. The market is expected to hold a value of US$ 10.1 billion by the end of 2023, while it is likely to cross US$ 84.11 billion by 2033.
The research report on the automotive HD radar market explains that the enhanced automotive, OEM, and model-specific systems are expected to propel the demand for automotive imaging RADAR systems. Furthermore, the new automated driving technology in cars and stringent automotive safety norms and checks are pushing competitors to rectify transmission systems. Thus, higher sales of automotive HD RADAR systems are expected during the forecast period.
The automotive HD radar market analysis states the increasing penetration of technological elements such as artificial intelligence, advanced sensory technology, machine learning, and cloud storage. Furthermore, many consumers choose vehicles with ADAS, cameras, and advanced sensors to prevent accidents and enhance the self-driving mode.
The higher demand for better navigation and communication through intelligent assistance, a lane-keeping system, and others are also gaining traction in the automotive imaging RADAR market. With the automotive research and development facilities returning on track, companies have extended their boundaries for self-driving modules. Thus, adding an advanced blind spot system enriches the driving experience while increasing the safety prospects of the driver.
The old automotive radar systems were highly sensitive to the weather conditions, had lower range, inaccurate at times, and had bad resolution. Thus, the shift to automotive HD RADAR systems is natural as they deliver high-resolution, enhanced position estimation and are less sensitive to weather conditions. Apart from the OEM installations, consumers also get these systems fixed through third-party brands, increasing the overall growth of the automotive imaging RADAR market.
| Attributes | Details |
|---|---|
| Automotive HD Radar Market CAGR (2023 to 2033) | 23.61% |
| Automotive HD Radar Market Size (2023) | US$ 10.1 billion |
| Automotive HD Radar Market Size (2033) | US$ 84.11 billion |
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Short-term Growth (2023 to 2026): The demand for automotive HD imaging radars is expected to strive at a strong growth rate. It is due to the increasing government regulations for vehicle safety and the rise in the adoption of ADAS. Furthermore, the higher sales of premium cars are expected to fuel the demand during this period.
Mid-term Growth (2026 to 2029): The automotive imaging radar market is expected to bolster during the mid-term period due to the integration of artificial intelligence, machine learning, and self-driving modules. The advent of advanced electric vehicles with their EV-based transmission is anticipated to add value to the market growth. The new markets automotive markets with higher populations are likely to propel the sales of automotive HD radars. These regions involve India and China which are developing and importing the latest autonomous technology.
Long-term Growth (2029 to 2033): Automotive brands expanding their research facilities to facilitate self-driving technology is expected to garner growth during the long-term period. The continuous growth is likely to be stable during this period due to the estimated advancements in automotive technology. These advancements involve a higher number of electric and hybrid vehicles, acceptance of autonomous vehicles in more nations, and an increase in the number of radar sensors used.
The robust demand for automotive HD radar systems is attributed to the stringent government norms around passenger safety. With the high number of car accidents along with many people dying due to these accidents, governments around the world have introduced some policies to prevent these incidents. The measures involve the compulsion of radar, airbags, and other features the application of high-resolution radar with 4D imaging is considered ideal for the automotive industry. These norms also push brands to adopt automotive HD radars along with consumers getting them installed later. Furthermore, the higher penetration of autonomous vehicles like Tesla is anticipated to contribute to the growing automotive imaging radar market. The vehicles are approved through regulatory bodies that check for the accuracy, sensitivity, and shelf-life of these products.
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The higher resolution and better object estimation provided to the driver make it easier for them to navigate. Thus, the new premium vehicles are being pre-installed with ADAS and automotive imaging radars. Furthermore, intelligent guided parking systems are also flourishing in the sales of automotive HD radar systems.
Apart from the navigation, the higher security delivered by the latest radars is pushing consumers to adopt autonomous driving vehicles. This trend is likely to transform during the forecast period. The combinations for different radar applications along with different range and accuracy is applied according to the usage. Alongside, new advancements such as 4D radars, radar detecting road conditions, application of meta-materials for antennas, and sub-terahertz radar is expected to transform the automotive HD radar market during the forecast period. Consumers preferring premium cars with loaded features and safety propositions is another market trend that can affect the market positively.
Automotive HD Radar Market:
| Attributes | Automotive HD Radar Market |
|---|---|
| CAGR (2023 to 2033) | 23.61% |
| Market Value (2033) | US$ 84.11 billion |
| Growth Factor | Higher sales of premium vehicles, adoption of ADAS, government norms, and the advent of EV transmission are anticipated to flourish the market growth. |
| Opportunity | Increased penetration of autonomous vehicles along with the integration of smart technologies like artificial intelligence and machine learning is anticipated to create new opportunities for the market. |
| Key Trends | 4D imaging and 3D meta-materials antennae are increasing the receptivity of these radar systems. |
Radar Market:
| Attributes | Radar Market |
|---|---|
| CAGR (2023 to 2033) | 9.8% |
| Market Value (2033) | US$ 96.55 billion |
| Growth Factor | Less sensitive radars against weather, higher automotive sales, and wider applications such as medical, military, and automotive are likely to fuel the market growth. |
| Opportunity | An increased number of organizations investing in 3D radar systems along with the integration of multi-functional resource and sensor management systems are likely to bring new opportunities for the market. |
| Key Trends | Advanced ground/air-oriented radar systems for military usage are trending across the regions. |
Automotive ADAS Market:
| Attributes | Automotive ADAS Market |
|---|---|
| CAGR (2023 to 2033) | 9.5% |
| Market Value (2033) | US$ 157.07 billion |
| Growth Factor | Stringent government guidelines to prevent accidents along with the adoption of advanced technology such as AI, IoT, and machine learning is flourishing the demand for automotive ADAS. |
| Opportunity | The advent of multifunctional sensors, increased sales of premium vehicles, and the introduction of autonomous vehicles are boosting the opportunities for the automotive ADAs market. |
| Key Trends | Collaboration between ADAS suppliers and OEM manufacturers is a trend that is anticipated to transform the market. |
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Higher Sales of Autonomous vehicles along with the Strict Vehicle Safety Norms are garnering Regional Growth
North America leads the market in terms of market share. The United States leads in contributing to the North American automotive HD radar market. The rapid growth is attributed to the government allowing autonomous vehicles on the road. Thus, the addition of ADAS along with automotive HD radar systems, and intelligent guided parking systems. Furthermore, the presence of major autonomous vehicle brands like Tesla is flourishing the demand for these additional systems. The unparalleled growth is also attributed to the increased per-capita income and higher demand for the premium segment vehicles.
The huge Population, Higher Potential, and Increased investments make Asia-Pacific a Leading Space for the Automotive Experiments
After North America, Asia Pacific holds the major share of the automotive imaging radar market. The growth is due to the countries like China and India with huge populations, potential customers, and expanding automotive businesses.
Foreign brands along with the indigenously developed automotive players are adopting ADAs and automotive imaging radars for better navigation security and driving experience. Furthermore, a higher number of vehicle manufacturing facilities in these countries are likely to contribute a fair share to the growth of the region. China itself is advancing its vehicle safety norms, from airbags to the ADAS.
Based on frequency, 7X-Ghz sensors lead in terms of growth. The growth is attributed to the multifunctionality and flexibility of this frequency. Furthermore, these sensors also analyze the environment around the vehicle so that the ADAs and AI systems can deliver the best driving suggestions. The sensor including 77-GHz and 79-GHz are used simultaneously for different applications. On the other hand, the 2X-GHz frequency bands are more focused on short-range applications. It helps the systems like blind spot detection (BSD), Lane Change Assistance (LCA), Rear Cross Traffic Alert (RCTA), and Collision Mitigation (CM).
The market players focus on advancing technology through higher research and development activities. The players also integrate smart technologies like AI, ML, and IoT within their systems. Better integration with ADAs and vehicle-specific systems is the major focus of these producers. Key competitors also merge, collaborate, and acquire to expand their sales and distribution channels.
Market Developments
Key Players:
Automotive companies are the key consumer of the automatic HD RADAR market.
The 7X-Ghz sensor is poised to stay attractive, projecting a significant CAGR by 2033.
The market is estimated to secure a valuation of US$ 10.1 billion in 2023.
The market is estimated to reach US$ 84.11 billion by 2033.
The adaptive cruise control sector holds high revenue potential.
1. Executive Summary | Automotive HD/Imaging Radar Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Range 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Range, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Range, 2023 to 2033 5.3.1. Short Range 5.3.2. Medium Range 5.3.3. Long Range 5.4. Y-o-Y Growth Trend Analysis By Range, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Range, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Frequency 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Frequency, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Frequency, 2023 to 2033 6.3.1. 24 GHz 6.3.2. 77 GHz 6.3.3. 79 GHz 6.4. Y-o-Y Growth Trend Analysis By Frequency, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Frequency, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vehicle Type 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Vehicle Type, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vehicle Type, 2023 to 2033 7.3.1. Commercial Vehicle 7.3.2. Passenger Vehicle 7.4. Y-o-Y Growth Trend Analysis By Vehicle Type, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Vehicle Type, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 8.3.1. Adaptive Cruise Control 8.3.2. Autonomous Emergency Braking 8.3.3. Blind Spot Detection 8.3.4. Forward Collision Warning System 8.3.5. Intelligent Park Assist 8.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. USA. 10.2.1.2. Canada 10.2.2. By Range 10.2.3. By Frequency 10.2.4. By Vehicle Type 10.2.5. By Application 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Range 10.3.3. By Frequency 10.3.4. By Vehicle Type 10.3.5. By Application 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Range 11.2.3. By Frequency 11.2.4. By Vehicle Type 11.2.5. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Range 11.3.3. By Frequency 11.3.4. By Vehicle Type 11.3.5. By Application 11.4. Key Takeaways 12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. UNITED KINGDOM 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Range 12.2.3. By Frequency 12.2.4. By Vehicle Type 12.2.5. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Range 12.3.3. By Frequency 12.3.4. By Vehicle Type 12.3.5. By Application 12.4. Key Takeaways 13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Range 13.2.3. By Frequency 13.2.4. By Vehicle Type 13.2.5. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Range 13.3.3. By Frequency 13.3.4. By Vehicle Type 13.3.5. By Application 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Range 14.2.3. By Frequency 14.2.4. By Vehicle Type 14.2.5. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Range 14.3.3. By Frequency 14.3.4. By Vehicle Type 14.3.5. By Application 14.4. Key Takeaways 15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. Australia 15.2.1.2. New Zealand 15.2.2. By Range 15.2.3. By Frequency 15.2.4. By Vehicle Type 15.2.5. By Application 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Range 15.3.3. By Frequency 15.3.4. By Vehicle Type 15.3.5. By Application 15.4. Key Takeaways 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Range 16.2.3. By Frequency 16.2.4. By Vehicle Type 16.2.5. By Application 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Range 16.3.3. By Frequency 16.3.4. By Vehicle Type 16.3.5. By Application 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA. 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Range 17.1.2.2. By Frequency 17.1.2.3. By Vehicle Type 17.1.2.4. By Application 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Range 17.2.2.2. By Frequency 17.2.2.3. By Vehicle Type 17.2.2.4. By Application 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Range 17.3.2.2. By Frequency 17.3.2.3. By Vehicle Type 17.3.2.4. By Application 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Range 17.4.2.2. By Frequency 17.4.2.3. By Vehicle Type 17.4.2.4. By Application 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Range 17.5.2.2. By Frequency 17.5.2.3. By Vehicle Type 17.5.2.4. By Application 17.6. UNITED KINGDOM 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Range 17.6.2.2. By Frequency 17.6.2.3. By Vehicle Type 17.6.2.4. By Application 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Range 17.7.2.2. By Frequency 17.7.2.3. By Vehicle Type 17.7.2.4. By Application 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Range 17.8.2.2. By Frequency 17.8.2.3. By Vehicle Type 17.8.2.4. By Application 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Range 17.9.2.2. By Frequency 17.9.2.3. By Vehicle Type 17.9.2.4. By Application 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Range 17.10.2.2. By Frequency 17.10.2.3. By Vehicle Type 17.10.2.4. By Application 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Range 17.11.2.2. By Frequency 17.11.2.3. By Vehicle Type 17.11.2.4. By Application 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Range 17.12.2.2. By Frequency 17.12.2.3. By Vehicle Type 17.12.2.4. By Application 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Range 17.13.2.2. By Frequency 17.13.2.3. By Vehicle Type 17.13.2.4. By Application 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Range 17.14.2.2. By Frequency 17.14.2.3. By Vehicle Type 17.14.2.4. By Application 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Range 17.15.2.2. By Frequency 17.15.2.3. By Vehicle Type 17.15.2.4. By Application 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Range 17.16.2.2. By Frequency 17.16.2.3. By Vehicle Type 17.16.2.4. By Application 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Range 17.17.2.2. By Frequency 17.17.2.3. By Vehicle Type 17.17.2.4. By Application 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Range 17.18.2.2. By Frequency 17.18.2.3. By Vehicle Type 17.18.2.4. By Application 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Range 17.19.2.2. By Frequency 17.19.2.3. By Vehicle Type 17.19.2.4. By Application 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Range 17.20.2.2. By Frequency 17.20.2.3. By Vehicle Type 17.20.2.4. By Application 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Range 17.21.2.2. By Frequency 17.21.2.3. By Vehicle Type 17.21.2.4. By Application 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Range 18.3.3. By Frequency 18.3.4. By Vehicle Type 18.3.5. By Application 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Continental AG 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Robert Bosch GmbH 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Infineon Technologies AG 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Texas Instruments 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. NXP Semiconductors 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Autoliv Inc. 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. ZF Friedrichshafen 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. DENSO Corporation 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Delphi Automotive Company 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Valeo S.A. 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Automotive HD/Imaging Radar Market
