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.
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.
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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
