2025年-2045年汽车雷达市场:机器人出租车和自动驾驶汽车

用于自动驾驶汽车 & 机器人出租车的雷达,远程雷达,近程雷达,雷达涂层,4D成像雷达,高通道计数雷达,半导体雷达技术,波导天线,汽车雷达预报

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雷达技术在汽车市场已有25年的发展历史。至2024年,汽车雷达的出货量将超过1.4亿台。然而,尽管如此,其市场仍具备增长空间。本报告全面探讨了影响汽车雷达市场的主要趋势与增长动因,包括新安全标准、新兴ADAS(高级驾驶辅助系统)功能,以及对自动驾驶汽车日益增长的需求。报告还深入分析了雷达技术的最新进展,例如4D成像雷达,以及向更尖端半导体技术、分布式雷达系统和新天线技术的演进。IDTechEx的20年市场预测涵盖雷达的销量、收入、虚拟信道数、收发器半导体技术、工作频率和汽车雷达的低损耗材料——多个方面,从中可窥见雷达市场的增长趋势和技术的演变。
本报告全面展示了汽车雷达市场的全貌。涵盖汽车雷达行业的关键方面,包括:
推动汽车雷达进一步采用的力量:
• 高级驾驶辅助系统(ADAS)技术的广泛应用
• 更复杂ADAS技术的出现
• 新兴自动驾驶技术的发展
• 日益严格的安全标准
私人汽车产品、新兴机器人出租车及自动驾驶移动服务的雷达需求:
• 雷达性能趋势分析
• 推动性能提升的技术趋势及新兴技术
• 4D成像雷达技术解析及关键产品对比分析
• 雷达技术变化:
o 频率
o 波形
o 雷达罩(Radome)
o 天线
o 半导体
• 汽车市场特征分析:按地区划分领先一级供应商、不同雷达类型及主要OEM厂商的雷达选择
预测章节说明了未来20年汽车雷达市场趋势如何发展:
• 汽车市场销量预测
• 汽车雷达销量及收入(以亿美元计)预测
• 雷达材料需求预测(单位:百万平方米)
 
1. 执行摘要
a) 关键发现与叙述
b) 核心预测:
i. 按SAE级别划分的销量(2020至2045年)
ii. 按地区划分的销量(美国、中国、欧盟+英国+EFTA、日本、其他地区)
iii. 按SAE级别划分的汽车雷达市场收入(2020至2045年)
2. 介绍
a) 雷达构造解析
b) 汽车中雷达的用途及原因
c) 推动雷达采用的因素:
i. 安全性
ii. 自动驾驶
3. 消费者汽车中的法规与安全驱动力
a) 与自动驾驶相关的法规
b) 要求使用雷达的强制性安全功能
c) 鼓励使用雷达的NCAP测试
4. 消费者汽车与汽车雷达
a) 配备ADAS功能车辆中雷达的采用情况
b) 不同地区每辆车配备的雷达数量
c) 替代部分ADAS功能的非雷达解决方案
d) 市场上2级+和3级车辆示例
5. 机器人出租车中的汽车雷达
a) 机器人出租车市场领导者
b) 示例传感器套件
c) 行业内雷达使用情况分析
6. 雷达产品与趋势:一级供应商、初创公司及二级供应商
a) 主要一级供应商的重要产品
b) 雷达初创公司的关键新技术
c) 雷达性能趋势
d) 4D成像雷达
7. 汽车雷达组成技术
a) 技术趋势:
i. 波形
ii. 通道数量
iii. 频率
iv. 用于天线、雷达罩和射频板材的低损耗材料
v. 天线设计与波导管
8. 一级供应商市场份额
9. 市场预测
a) 按SAE级别划分的汽车市场预测(2020至2045年)
b) 按SAE级别划分的雷达销量预测(2020至2045年)
c) 按地区划分的雷达销量预测(2020至2045年,美国、中国、欧盟+英国+EFTA、日本、其他地区)
d) 按SAE级别划分的雷达销售收入预测(2020至2045年)
e) 不同地区SRR和LRR销售情况预测(2020至2045年,美国、中国、欧盟+英国+EFTA、日本、其他地区)
f) 按虚拟通道数量划分的雷达销售情况预测(2020至2045年)
g) 不同工作频率范围内比例销售情况预测,24GHz vs 77GHz(2020至2045年)
h) 雷达所需低损耗材料需求量预测(单位:百万平方米,2020至2045年):
i. 雷达罩
ii. 射频板
iii. 天线
 
IDTechEx's report, Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars, predicts the automotive radar market will hit 500 million annual sales in 2041. The market share today is dominated by the big tier-one companies like Continental, Bosch, Denso, Aptiv, Hella, ZF, and more, but exciting new technologies are coming to market from startups like Arbe, Uhnder, and Zendar. What's more, there are still new startups being founded in this market, with Waveye, Altos, and Xavveo all coming into existence in the last couple of years. The market is well established with commodity short-range and long-range radar, 4D imaging radar is now emerging and seeing uptake from early adopters, but there are technologies on the horizon that could completely revolutionize automotive radar.
 
 
Junction pedestrian automatic emergency braking is one example of a safety driven application that will drive further adoption of short-range radars.
 
More than 140 million sensors in 2024, but still room to grow
Automotive radar is now a well-established market. Since the mid-2010s, it has become globally common for cars to have radar-enabled features such as automatic emergency braking, adaptive cruise control, and blind spot detection as at least a specifiable option. Now, in the mid-2020s, many vehicles are sold with these features as standard. In particular, automatic emergency braking is widely included as standard on new cars in a growing and important effort to improve road safety, especially for pedestrians and other vulnerable road users.
 
In 2024, IDTechEx estimates that 1.53 radars will be shipped for each car, totaling more than 140 million units. However, there is still lots of room for growth. This IDTechEx report finds that approximately half of radar sales are long-range radars for forward-facing applications, while the other half is short-range radars for applications like blind spot detection and warning. However, a single blind-spot system uses two radars, meaning blind-spot detection is about half as common as adaptive cruise control and automatic emergency braking. Exact deployment numbers of these features captured over multiple sales years can be found in the report with regional granularity.
 
Pushes for additional and evermore sophisticated safety features in vehicles will be a key driver for short-range radars. Europe is mandating that some heavier vehicle categories have blind spot warning systems from 2024. In the future, it is likely that blind spot detection will be enforced for passenger vehicles, as well as forward cross-traffic and junction emergency braking systems, which require two additional front radars. This means side radar adoption has the potential to grow fourfold over the next 20 years. While forward-facing radars are approaching saturation levels, there is still a lot of room for improving performance.
 
4D Imaging Radars Are Coming to Market
For a long time, radar's performance was perfectly adequate for its intended use case, i.e. calculating the distance to the car ahead. But the requirements from the industry are growing, with high-resolution radars being demanded. There are two key drivers for this: safety and convenience. Protecting vulnerable road users is a key driver for new technologies in the automotive industry. Radar has enormous potential here as it can "see" in conditions where cameras and LiDARs are rendered redundant. However, radars of old don't have the imaging performance to confidently separate a human that is standing next to a car from the car itself. This is a key task when trying to accomplish perfect automatic emergency braking performance in all conditions. Additionally, autonomous driving is becoming a reality, but real-world examples today have limitations. With better performance, radar can help overcome those limitations.
 
 
4D imaging radar can improve the performance of radar such that they can understand more complex situations, such as separating the car from the bridge in a detection. Expanding on this, next generation radars will detect a person next to the car under the bridge.
 
 
4D imaging radars are the emerging next generation, with stacked antenna arrays and hundreds, even thousands of virtual channels. Like pixels in a camera, more virtual channels generally mean better performance, but it isn't the only factor. This report explains what else it takes to make a 4D imaging radar, who has the most exciting and most market-ready technologies, and where the limitations remain. One key limitation still remaining, and with no simple solution, is the package size of radars.
 
Distributed radar could be the next step
When it comes to imaging, bigger is better. This is why camera phones haven't replaced large DSLR cameras and why the James Webb telescope is over 20ft wide. The same applies to radar; a bigger automotive radar would give better resolution. If a radar was made with an antenna array 2m wide, then its resolution would be similar to a LiDAR. However, the modern flagship radars from leading tier-one suppliers are already hitting the upper limit of what OEMs can integrate, and they are only 10cm by 15cm. The solution that some are pioneering is distributed radar. Putting parts of the radar across the car and creating a much larger virtual antenna. This approach has the potential to return sub-0.1° resolution with all the benefits of imaging with radar, such as distancing, velocity measuring, and its robustness to adverse weather and lighting.
 
This report and the included company profiles cover a handful of companies working on distributed radar concepts. One is getting close to market deployment, while another has a revolutionary, game-changing proposition for automotive radar, find out which in the report.
 
This IDTechEx report offers complete coverage of the automotive radar space. It covers the safety and convenience factors driving radar, the areas where the strongest growth is likely to be found, and all the major startup technologies that will define the next generations of radar. All these trends are then captured in IDTechEx 20-year granular forecasts. This report is a complete guide to automotive radar now and in the future.
 
Key aspects
A complete and comprehensive view of the automotive radar market can be found in this report. Key aspects of the automotive radar industry covered include:
 
• Forces that are driving further adoption of automotive radar, such as
o Increased adoption of ADAS technologies
o Emergence of more sophisticated ADAS technologies
o Emerging autonomous driving technologies.
o Increasing safety standards
• Radar requirements for private automotive products, emerging robotaxis, and autonomous mobility as a service.
• Performance trends within radar
• Technology trends driving performance improvements and emerging technologies
• 4D imaging radars, technologies explained and key products benchmarked
• Changes to radar technologies;
o Frequencies
o Waveforms
o Radomes
o Antennas
o Semiconductors
• Automotive market characterization and analysis of leading tier-one companies by region, for different radar types, and radar choices of leading OEMs
 
The forecast chapter then explains how trends within the automotive radar market will play out over the next 20 years:
• Automotive market unit sales
• Automotive radar unit sales and revenue (US$ billion)
• Material demand for radar (million m^2)
Report MetricsDetails
Historic Data2020 - 2023
CAGRThe automotive radar market will grow to US$16.3 billion in 2034, representing a 4.8% 10-year CAGR.
Forecast Period2024 - 2045
Forecast Unitsvolume (unit sales), revenue (million m^2)US$ billion), material
Regions CoveredUnited States, China, Europe, Japan, Worldwide
Segments CoveredAutomotive radar, short-range radars, long-range radars, 4D imaging radars, semiconductor technologies (SiGe, Si CMOS, FD-SOI, FinFET, radar operating frequency (24GHz, vs 77GHz).
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1.EXECUTIVE SUMMARY
1.1.Three Key Takeaways for the Automotive Radar Market
1.2.Introduction to Automotive Radar
1.3.Radar is a Key Part of Modern ADAS Features
1.4.The Key Radar-Enabled ADAS Features Are Ubiquitously Available in the Market
1.5.Adoption of Radar-Enabled ADAS Features in 2020, 2022, and 2023
1.6.ADAS Applications Enabled by Front Radar
1.7.ADAS Applications Enabled by Side Radar
1.8.New Radar-Enabled ADAS Features
1.9.Some OEMs are Finding Alternatives to Radar
1.10.Tier-One Suppliers Also Have Radar-Free Alternatives for Key ADAS Features
1.11.Autonomous Vehicles Will Also Drive Radar Growth
1.12.Highly Autonomous Vehicles and Robotaxis Demand Many Radars per Vehicle
1.13.The Key Tier-One, Startup, and Tier-Two Radar Players
1.14.Best Funded Radar Start-Ups and Ones to Watch
1.15.Nearly US$1 Billion Invested into Automotive Radar Startups
1.16.Startups and Tier-Ones are Working on 4D Imaging Radars
1.17.The Radar Transceiver is One Key Area Where Innovation Is Happening
1.18.The Adoption of More Advanced Semiconductor Technology is a Key Part of the Advancements
1.19.Examples of 4D Imaging Radar Already on the Market
1.20.Known Deployments of 4D Imaging Radar in Consumer Vehicles
1.21.Automotive Radar Market Share and the Leading Tier Ones
1.22.The Addressable Market - Automotive Market by SAE Level 2020-2045
1.23.Radar's Growth will be Driven by Autonomy and Safety - Units Forecast by SAE Level 2020-20245
1.24.Radar Unit Sales in Key Regions Forecast - 2020-2045
1.25.Automotive Radar Market Revenue to Reach Nearly US$20 in 20244
2.INTRODUCTION
2.1.Radar - Radio Detection and Ranging
2.2.Typical Sensor Suite for Autonomous Cars
2.3.Radar
2.4.Sensors and their Purpose
2.5.Where does Radar Sit in the Sensor Trio?
2.6.ADAS Adoption by Region in 2023
2.7.SAE Levels of Automation in Cars
2.8.Functions of Autonomous Driving at Different Levels
2.9.Level 2, Level 2+, and Level 3
2.10.Summary of the Privately Owned Car Market - Level 3 is Happening Slowly, Level 2+ is Happening Now
2.11.Level 3 is Harder
2.12.NHTSA AEB 2029 Update Creating a Boon for Radar
2.13.AEB Required for Top NCAP Scores
2.14.Typical Sensor Suites and the Purpose of Each Sensor
2.15.Quantity of Sensors per Car - Level 2
2.16.Sensors per Vehicle: Level 3 and Above
2.17.Radar Anatomy
2.18.Radar Key Components
2.19.Primary Radar Components - The Antenna
2.20.Primary Radar Components - the RF Transceiver
2.21.Primary Radar Components - MCU
3.REGULATIONS AND SAFETY DRIVERS FOR RADAR IN CONSUMER CARS
3.1.How Regulation Drives Adoption of Radar
3.2.Regulations on Level 3 and Level 2+ Deployment
3.2.1.Privately owned Autonomous Vehicles
3.2.2.Level 2+ could be a long-term middle-ground
3.2.3.Legislation and Autonomy
3.2.4.Overview of where autonomous cars are legal
3.2.5.Level 2+ starting to grow in Europe
3.2.6.Level 2+ rules and deployment in the US
3.2.7.Level 2+ deployment and level 3 testing in China
3.2.8.Level 3 roll out in Europe and Germany
3.2.9.UN Regulation No.157 2023 Update and Implementation
3.2.10.Level 3 roll out in Other European Countries
3.2.11.Level 3 Legislation in the US
3.2.12.Mercedes S-Class first level 3 car in US
3.2.13.Level 3, Legislation, China
3.2.14.Private autonomous vehicles in Japan
3.3.Enforcing Radar Adoption Through Regulation
3.3.1.Overview of Safety and Luxury ADAS Features in Passenger Vehicles
3.3.2.AEB Improving Vehicle Safety
3.3.3.EU Mandating Certain ADAS Features Since July 2022
3.3.4.NHTSA AEB 2029 Update Creating a Boon for Radar
3.3.5.Regional NCAP Standards
3.3.6.Euro NCAP AEB Testing Scenarios
3.3.7.IIHS Pedestrian Front Crash Prevention
3.3.8.NCAP and Radars
3.3.9.Euro NCAP 2030 Vision and Impact on Radar Requirements
3.3.10.OEMs That Cover NCAP Scenarios in their Marketing
3.3.11.Tier-One Supplier NCAP Focused ADAS Products
4.CONSUMER CARS AND AUTOMOTIVE RADAR
4.1.Market Adoption of Key ADAS Features
4.1.1.ADAS Features and Radar
4.1.2.IDTechEx's ADAS Feature Database
4.1.3.ADAS Adoption by Region in 2023
4.1.4.Radar-Enabled ADAS Feature Deployment in the US
4.1.5.Radar-Enabled ADAS Feature Deployment in the China
4.1.6.Radar-Enabled ADAS Feature Deployment in EU + UK + EFTA
4.1.7.ADAS Feature Deployment in Japan
4.1.8.Growth in Adoption of Radar-Enabled ADAS Features
4.1.9.New Radar-Enabled ADAS Features
4.2.Some Automakers Finding Alternatives to Radar
4.2.1.Why Ditch Radar?
4.2.2.Tier-One Suppliers of Radar Free ADAS
4.2.3.Tesla and Subaru
4.2.4.Tesla Re-Introducing Radar
4.2.5.Honda Joins Tesla and Subaru with Radar-Free ACC in 2023
4.2.6.Fiat and Mazda previously used LiDAR for City AEB
4.2.7.Dacia and Peugeot using Ultrasonics for Blind Spot Detection
4.2.8.Nodar - A Camera-Based Alternative With Better Ranging
4.3.Examples of Level 2+ and Level 3 Vehicles, Plus Future Market Technologies
4.3.1.Higher Levels of Autonomy and Radar
4.3.2.Level 3 - Honda
4.3.3.Honda Sensing 360+ sensor suite
4.3.4.Mercedes S-Class and EQS
4.3.5.Mercedes S-class - Sensor Suite
4.3.6.BMW level 3 and level 2+
4.3.7.BMW 7 Series and 5 Series Sensors
4.3.8.Tesla
4.3.9.Tesla's Hardware 4.0
4.3.10.GM's Super Cruise
4.3.11.Vehicles with GM Super Cruise
4.3.12.Ford BlueCruise
4.3.13.Other US Level 2+ Systems
4.3.14.Availability of Level 2+ Systems is Growing
4.3.15.Chinese Stuck at Level 2 for Now
4.3.16.Chinese Sensor Suite Example - Li Auto L6
4.3.17.Xpeng G9
4.3.18.Arcfox Alpha S 2024
4.3.19.Zeekr 001
4.3.20.NIO ET7
4.3.21.Leaders in the Market So Far
4.3.22.Future Level 2+ and Level 3 Systems - Mobileye
4.3.23.Future Level 2+ and Level 3 Systems - Qualcomm
5.AUTOMOTIVE RADAR FOR ROBOTAXIS
5.1.Robotaxis and Radar
5.2.State of development in 2024
5.3.The big movers in 2024
5.4.Waymo
5.5.Waymo Sensor Suite
5.6.Cruise
5.7.Cruise Sensor Suite
5.8.Zoox
5.9.Zoox Sensor Suite
5.10.AutoX
5.11.AutoX Sensor Suite
5.12.Baidu and Apollo
5.13.Baidu's Ground Up Robotaxi
5.14.Pony
5.15.Pony sensor suite
5.16.WeRide
5.17.Robotaxi Sensor Suite Analysis (1)
5.18.Robotaxi Sensor Suite Analysis (2)
6.RADAR PRODUCTS AND TRENDS: TIER-ONES, STARTUPS, AND TIER-TWOS
6.1.Introduction
6.1.1.Company Mapping
6.2.Tier One Radars
6.2.1.Continental's Flagship Radar and Opinion on High Channel Counts
6.2.2.Continental's Radar Product Portfolio
6.2.3.Bosch Flagship Radar and Pathway to High Channel Counts
6.2.4.Bosch's Radar Product Portfolio
6.2.5.Denso's Radar Product Portfolio
6.2.6.Aptiv's Seventh Generation Front and Side Radars
6.2.7.Aptiv's Radar Product Portfolio
6.2.8.Hella's Product Portfolio
6.2.9.ZF's Imaging Radar and Radar Product Portfolio
6.2.10.Valeo and Veoneer
6.2.11.Valeo's and Veoneer's Radar Product Portfolios
6.2.12.Magna
6.2.13.HiRain and Weifu
6.2.14.Others
6.3.Start-up Radars
6.3.1.Introduction
6.3.2.Table of Radar Start-ups
6.3.3.Best Funded Radar Start-Ups and Ones to Watch
6.3.4.Radar Investment over Time
6.3.5.Arbe
6.3.6.Uhnder
6.3.7.Oculii and Ambarella
6.3.8.Mobileye
6.3.9.Zendar
6.3.10.Xavveo - Radar Using Silicon Photonics
6.4.Tier-Two Products
6.4.1.Introduction to Transceivers
6.4.2.Reestablishment of Distributed Functionality
6.4.3.NXP
6.4.4.Texas Instruments
6.4.5.Infineon
6.4.6.Others
6.4.7.Transceiver Technology Trends
6.5.Radar Performance Trends
6.5.1.IDTechEx Radar Trends Primary Research Method
6.5.2.Radar Trends: Volume and Footprint
6.5.3.Radar Trends: Packaging and Performance
6.5.4.Radar Trends: Increasing Range
6.5.5.Radar Trends: Field of View
6.5.6.Trading FOV with Range
6.5.7.Radar Trends: Angular Resolution (lower is better)
6.5.8.Radar Trends: Virtual Channel Count
6.5.9.Radar Trends: Virtual Channels and Resolution
6.5.10.Radar's Limited Resolution
6.5.11.Approaches to Larger Channel Counts: Cascading
6.5.12.Approaches to Larger Channel Counts: Large Radar on Chip
6.5.13.Approaches to Larger Channel Counts: Discretization of Functions
6.5.14.Emerging Interest in Dynamic Range
6.5.15.Packaging and Integration Trends
6.6.Routes to 4D and Imaging Radar
6.6.1.Why 4D and Imaging Radars are Needed
6.6.2.Difference between 4D and 4D Imaging Radar
6.6.3.The Rayleigh Criterion
6.6.4.Option 1 - Increase the Operating Frequency
6.6.5.Option 2 - Larger Aperture, Zendar
6.6.6.Distributed Aperture SWOT Analysis
6.6.7.Plastic Omnium's Functionalized Bumper
6.6.8.Option 3 - Super-Resolution Software
6.6.9.Super-Resolution SWOT
6.6.10.Another Solution - Scanning
6.6.11.194 - 4D Imaging Radar Examples
6.6.12.Deployments of 4D Imaging Radars
7.AUTOMOTIVE RADAR CONSTITUENT TECHNOLOGIES
7.1.Waveforms and MIMO
7.1.1.Introduction to Waveforms
7.1.2.Typical Performance with FMCW (single Tx/Rx) (1)
7.1.3.Typical Performance with FMCW (single Tx/Rx) (2)
7.1.4.Multiple Inputs, Multiple Outputs
7.1.5.Scaling up of MIMO
7.1.6.Oculii (acquired by Ambarella in 2021)
7.1.7.Orthogonal Frequency Division Multiplexing
7.1.8.Multiple Frequency Shift Key (MFSK)
7.1.9.Random/Noise/Digital Code Modulation
7.1.10.Uhnder - DCM MIMO Chip Developer
7.2.Frequency Trends
7.2.1.Which Way is Frequency Going?
7.2.2.Applications of Different Frequencies
7.2.3.Applications of Different Frequencies
7.2.4.Automotive Radar Frequency Trends
7.2.5.Which Parameters Limit the Achievable KPIs
7.2.6.The Significance of
7.2.7.Example of High Frequency Radar Imaging
7.2.8.Packaging Benefits
7.2.9.Ranging
7.2.10.Surface Ice Detection
7.2.11.Radar Imaging at 300GHz from Fraunhofer
7.2.12.Adoption Path of High Frequency Radars
7.2.13.Challenges and Hurdles for High Frequency Radar
7.2.14.Regulation
7.3.Radomes, Antennas, Materials and Board Trends
7.3.1.Importance of the Radome
7.3.2.Radome and Range
7.3.3.Ideal Radome Properties
7.3.4.Radome Shape Considerations
7.3.5.Preperm
7.3.6.Laird - Side Lobe Reduction Skirt Material
7.3.7.Radar Aesthetics, Form and Function
7.3.8.Other material considerations
7.3.9.Key Material Suppliers
7.4.Radar Material Selection and Benchmarking
7.4.1.Dielectric Constant: Benchmarking Different Substrate Technologies
7.4.2.Dielectric Constant: Stability vs Frequency for Different Organic Substrates
7.4.3.Dielectric Constant: Stability vs Frequency for Different Inorganic Substrates (LTCC, Glass)
7.4.4.Loss Tangent: Benchmarking Different Substrate Technologies
7.4.5.Loss Tangent: Stability vs Frequency For Different Substrates
7.4.6.Dielectric Constant and Loss Tangent Stability: Behaviour at mmWave Frequencies and Higher
7.4.7.Temperature Stability of Dielectric Constant: Benchmarking Organic Substrates
7.4.8.Moisture Uptake: Benchmarking Different Substrate Technologies
7.5.Antennas
7.5.1.Antenna Design
7.5.2.Patch Array Design
7.5.3.Patch Array in Practice
7.5.4.Phased Array Antennas
7.5.5.Metawave - Analogue Beamforming/Beam Steering
7.5.6.Echodyne
7.5.7.Lunewave - 3D Printed Antenna
7.5.8.Waveguide Technologies
7.5.9.Gapwaves Multi-Layer Waveguide (MLW)
7.5.10.Waveguides in the Market
7.5.11.Antenna Miniaturisation
7.5.12.Packaging and Integration
8.RADAR MARKET, SUPPLIERS, SHARES, STRUCTURE, CHANGES
8.1.Availability of ADAS
8.2.Adoption of ADAS Driving Radar Growth
8.3.Level 3 Vehicles and Further Radar Adoption
8.4.Tier One Market Share by Volume - All Radars
8.5.Tier One Market Share by Revenue - All Radar
8.6.Tier One Market Share by Volume - Front Radar
8.7.Top OEM Front Radar Choices
8.8.Front Radar Popularity by Region - US and EU + UK + EFTA
8.9.Tier One Market Share by Volume - Side Radar
8.10.Top OEM Side Radar Choices
8.11.Side Radar Popularity by Region - US and EU + UK + EFTA
8.12.Radar Model Age
8.13.Most Popular Radar Models in US
8.14.Most popular radar models in EU + UK + EFTA
9.FORECASTS
9.1.Methodology - Autonomous Vehicles Report and Total Number of Radars
9.2.Methodology - Technology Splits
9.3.Addressable Market - Global Vehicle Sales and Peak Car by Region 2019-2045
9.4.Global Vehicle Sales and Peak Car by SAE Level 2022-2045
9.5.Forecasting Method: Sensors and Radar Technologies
9.6.Radar Unit Sales by SAE Level Forecast - 2020-2045
9.7.Radar Unit Sales by Region Forecast - 2020-2045
9.8.Radar Sales Revenue Forecast by SAE Level 2020-2045
9.9.Radar Unit Sales Forecast in the US by SAE Level 2020-2045
9.10.Radar Unit Sales Forecast in China by SAE Level 2020-2045
9.11.Radar Unit Sales Forecast in EU + UK + EFTA by SAE Level 2020-2045
9.12.Radar Unit Sales Forecast in Japan by SAE Level 2020-2045
9.13.Short-Range Radar Forecast by Virtual Channels 2020-2044
9.14.Long-Range Radar Forecast by Virtual Channels 2020-2044
9.15.Radar Sales Proportionally by Frequency 2020-2045
9.16.Radar Sales Proportionally by Semiconductor Technology 2020-2045
9.17.Low-Loss Material Market Forecast for Automotive Radar 2020-2045
10.COMPANY PROFILES
 

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预计至2041年,汽车雷达的年度销售量有望达到5亿部

报告统计信息

幻灯片 317
预测 2045
已发表 Dec 2024
 

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ISBN: 9781835700884

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