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市場調查報告書
商品編碼
1892142

汽車4D雷達產業（2025）

Automotive 4D Radar Industry Research Report, 2025
出版日期: | 出版商: ResearchInChina | 英文 260 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

1. 4D成像雷達已從 "選購" 感測器發展成為 "必備" 感測器。

4D雷達除了能夠偵測和分析距離、速度、方向和高度外，還能偵測和分析物體的高度資料。由於不受天氣和光照條件的影響，它已成為自動駕駛系統不可或缺的感測器。其發展主要受以下因素驅動：

1. 政策。 2025年4月，國家汽車標準化技術委員會（NTCAS）發布了 "輕型車輛自動緊急煞車系統技術要求及試驗方法（草案）" ，取代了先前推薦的AEB系統國家標準GB/T 39901-2021。該法規提議逐步將自動緊急煞車（AEB）系統從“可選”過渡到“標配”，並要求自2028年1月1日起，M1/N1類車輛必須標配AEB系統。隨著相關AEB法規對車輛煞車前的最高速度提出了更嚴格的要求，雷達性能標準也變得更加嚴格。具體而言，前視監控系統需要更遠的探測距離、更強的弱目標識別能力和多目標分辨率，以及更精確的障礙物高度測量。

2. 表現的顯著提升彌補了感知方面的不足。 4D成像雷達解決了傳統雷達無法偵測到的高大障礙物（例如限高桿和道路標誌）和靜止物體（例如停在匝道上的違章車輛）的問題。其角分辨率提高到1-2°（相當於8-32通道雷射雷達），點雲密度是傳統雷達的八倍以上（例如，SINPRO SFR-2K每幀2048個點）。它能清楚地恢復被前方車輛遮擋的物體輪廓（例如前方車輛的煞車區域），從而實現精準監控。同時，它具備全天候抗干擾能力，即使在雨、雪、霧、霾等惡劣環境下也能達到300公尺的偵測距離，顯著超越了攝影機和雷射雷達的性能。

3. 成本優勢已成為大規模應用的關鍵驅動因素。隨著雙級聯繫統向四級聯繫統和單晶片整合過渡，4D基礎成像雷達的單價將從2024年初的500-1000元人民幣降至2025年的200-400元人民幣，接近傳統雷達的價格區間，達到雷射雷達的1/5到1/10(LiDAR的清掃成本與雷達實體相當)。

2.到 2030 年，4D 雷達預計將佔超過 50% 的市場。

ResearchInChina 預測，2024 年配備 4D 雷達感測器的車輛數量將達到 273.7 萬輛，2025 年將達到 1,106 萬輛。到 2030 年，預計總數將超過 5,000 萬輛，滲透率將從 2025 年的 26.0% 上升至 54.5%。相應地，前視 4D 雷達和 4D 角視雷達的滲透率預計也將大幅成長，其中 4D 角視雷達預計將呈現最快成長。

在選擇產品時，OEM 廠商將 4D 雷達視為一項重要的技術，可與攝影機和光達相輔相成。攝影機提供高分辨率的語義理解和顏色信息，光達提供精確的 3D 幾何信息，而 4D 雷達即使在能見度差和複雜的電磁環境下也能提供穩定的距離、速度和高度信息。 OEM廠商會考慮性能與成本以及整合感知等因素。

隨著整合感知成為主流，OEM廠商正在積極擴展和升級其感知硬體。 OEM廠商（例如ONVO L60）主要採用 "4D雷達+視覺" 解決方案，高階機型（例如Maextro S800）則增加了雷射雷達以實現冗餘。在演算法層面，BEV+Transformer架構已成為多感測器融合的標準解決方案，透過時間建模提高目標追蹤穩定性。

本報告分析了中國汽車4D雷達市場，提供了市場規模和安裝量預測、價格範圍分析以及國內外公司資訊。

目錄

術語

第一章：汽車4D雷達概述

  • 概述
  • 檢測效能
  • 4D雷達與4D成像雷達（1）
  • 4D雷達與4D成像雷達（2）
  • 4D雷達應用場景（1）
  • 4D雷達應用場景（2）
  • 高解析度雷達與攝影機/雷射雷達的幀率比較
  • 4D雷達OEM廠商策略
  • 汽車4D成像雷達應用趨勢的原因
  • 4D成像雷達產業鏈

第二章：汽車4D雷達市場

  • 概述
    • 現狀
    • 雷達類型 - 前視雷達 (1)
    • 雷達類型 - 前視雷達 (2)
    • 雷達類型 - 前視雷達 (3)
    • 雷達類型 - 角視雷達 (1)
    • 雷達類型 - 角視雷達 (2)
    • 雷達類型 - 角視雷達 (3)
    • 價格範圍 - 概述
    • 價格範圍 - 100,000-150,000 元人民幣
    • 價格範圍 - 150,000-200,000 元人民幣
    • 價格範圍 - 200,000-250,000 元人民幣
    • 價格範圍 - 250,000-300,000 元人民幣
    • 價格範圍 - 300,000-350,000 元人民幣
    • 價格區間 - 350,000-400,000 元人民幣
    • 價格區間 - 400,000-500,000 元人民幣
    • 價格區間 - 超過 50 萬元人民幣
  • 汽車 4D 雷達市場
    • 雷達類型 - 4D 前視雷達的價格分佈與競爭格局
    • 雷達類型 - 4D 前視雷達：依品牌劃分
    • 雷達類型 - 4D 角視雷達的價格分佈與競爭格局
    • 雷達類型 - 4D 角視雷達：依品牌劃分
    • 4D 雷達：依價格劃分 - 概述
    • 價格區間 - 0-100,000 元人民幣 - 4D 雷達解決方案
    • 價格區間 - 100,000-150,000人民幣 - 4D雷達解決方案
    • 價格範圍 - 150,000-200,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 200,000-250,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 250,000-300,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 300,000-350,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 350,000-400,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 400,000-500,000 人民幣 - 4D 雷達解決方案
    • 價格範圍 - 超過 50 萬人民幣 4D 雷達解決方案
  • 雷達市場（2025-2030）
    • 3D/4D雷達安裝量預測
    • 3D/4D雷達安裝量計算
    • 單車雷達安裝量預測
    • 4D雷達市場特徵：安裝量爆炸性成長
    • 4D雷達安裝量（2024-2030）
    • 汽車4D雷達佔比（2024-2030）
    • 汽車4D雷達市場規模（2024-2030）
    • 汽車4D雷達市場規模估算依據

第三章：中國乘用車4D雷達公司

  • 新普羅
  • WHST
  • 正泰科技
  • 華為
  • 英達科技
  • 牧牛科技
  • 行道科技
  • 楚航科技
  • 明星引領
  • 哈斯科
  • 平潤經緯
  • 德賽SV
  • 新星
  • 寶龍汽車
  • 納雷雷達
  • 睿創科技
  • 威孚高科
  • 華勤科技
  • 靈通科技

第四章 國外乘用車4D雷達企業

  • 奧莫維奧
  • APTIV
  • 博世
  • 採埃孚
  • 移動眼
  • 阿爾托斯雷達

第 5 章汽車4D雷達晶片/天線公司

  • TI
  • 恩智浦
  • 英飛凌
  • 阿爾貝
  • 烏恩德爾
  • 加特蘭
  • 安達
  • 貴步微電子
  • 森納德微電子
  • Milliverse（Archiwave）
  • 負鼠
  • SGR半導體
  • 南芯半導體科技
  • 博訊通訊
  • SPEED無線技術
  • Waveland 技術
  • SMARTCOMTECH
  • HUBER+SUHNER

第六章汽車4D雷達總結及趨勢

  • 4D雷達晶片廠商技術參數及客戶對比
  • 4D雷達技術參數比較（一）
  • 4D雷達對比技術參數 (5)
  • 配備 4D 雷達的車款 (1)
  • 配備 4D 雷達的車款 (2)
  • 配備 4D 雷達的車款 (3)
  • 趨勢 1
  • 趨勢 2
  • 趨勢 3
  • 趨勢 4
  • 趨勢 5
  • 趨勢 6
  • 趨勢 7
  • 趨勢 8
  • 趨勢 9
簡介目錄
Product Code: FZQ022

4D radar research: From "optional" to "essential," 4D radar's share will exceed 50% by 2030.

1. 4D imaging radar has transformed from an "optional" to a "must-have" sensor.

4D radar adds the detection and analysis of object height data, perceiving distance, speed, azimuth, and altitude. It is immune to weather and lighting conditions as an indispensable sensor for autonomous driving systems. Its development is mainly driven by the following factors:

1. Policies. In April 2025, the National Technical Committee of Auto Standardization (NTCAS) of China released the "Technical Requirements and Test Methods for Automatic Emergency Braking Systems of Light-Duty Vehicles (Draft)" to replace the original recommended national standard GB/T39901-2021 for AEB systems. It suggested that AEB systems should gradually move from "optional installation" to "mandatory standard configuration" and required that from January 1, 2028, M1 and N1 vehicles must be equipped with AEB systems as standard. As relevant AEB regulations impose increasingly stringent requirements on the maximum speed of vehicles before braking, radar faces more stringent performance standards: forward-looking perception systems must have longer detection ranges, stronger weak object recognition and multi-object resolution, and more accurate obstacle height measurement.

On September 17, 2025, the Ministry of Industry and Information Technology of China publicly solicited opinions on the mandatory national standard "Safety Requirements for Combined Autonomous Driving Systems of Intelligent Connected Vehicles". This standard strengthens technical supervision in the field of autonomous driving where accidents occur frequently. In its technical draft, it puts forward higher requirements for the perception capabilities of autonomous driving systems in all weather conditions.

With the upgrading of global safety regulations and the increasing penetration rate of L2+/L3 autonomous driving, highway NOA and urban NOA rely on radar, especially 4D imaging radar, to make up for the defects in visual perception and the decline of LiDAR functions (such as in rain, snow, fog, low light, nighttime, severe weather, and obstructions, etc.). For example, when a vehicle is traveling at high speed, the AEB system needs to reliably complete its task. It not only needs to detect large vehicles, but also to recognize smaller, less reflective, or fast-moving objects, such as children crossing the road or motorcycles that have fallen over. Moreover, such detection often occurs in environments with insufficient light or in rain, snow, or fog. There is also the challenge of detecting stationary objects at a distance, such as cardboard boxes, people next to highway guardrails, and construction equipment. Currently, there are solutions in the industry that enable AEB with a single 4D imaging radar sensor, such as the Aumovio ARS620, which can meet the national AEB standard with a single radar sensor and a detection range of 280 meters (cars and motorcycles) and 174 meters (pedestrians).

2. Performance leap makes up for the shortcomings in perception. 4D imaging radar solves the problem that traditional radar cannot recognize high-altitude obstacles (such as height restriction poles and road signs) and static objects (such as illegally parked vehicles on ramps). Its angular resolution is improved to 1-2° (equivalent to the level of 8-32 channel LiDAR), and its point cloud density is more than 8 times that of traditional radar (such as 2048 points per frame of the SINPRO SFR-2K). It can clearly restore the object outline and achieve accurate monitoring of objects obscured by vehicles in front (such as the brakes of vehicles in front). Meanwhile, it has all-weather anti-interference capabilities, and its detection range can still reach 300 meters even in harsh environments such as rain, snow, fog and haze, which is significantly better than cameras and LiDAR.

In reality, 4D radar can be divided into three types. The first type addresses basic altitude perception, with a point cloud density of less than 4,000 points/second and a range within 300 meters. The second type is 4D imaging radar, which provides high-resolution imaging for positioning, with a point cloud density typically between 30,000 and 100,000 points/second, a range within 350 meters, and an elevation angle of 0.8-1°. Examples include Huawei's 4D imaging radar, SINPRO's 4D imaging radar based on satellite architectures, and Arbe Phoenix. The third type is 4D digital imaging radar, which provides intelligent real-time perception for positioning, with a point cloud density typically higher than 100,000 points/second, a range within 400 meters, and an elevation angle improved to 0.5°-0.8°, enabling the detection of small objects and lane lines. The three are in a progressive relationship, jointly promoting the upgrade of perception redundancy in autonomous driving.

3. Cost advantage has become the core driving force for large-scale application. As dual-cascaded systems tend to replace quad-cascaded systems and single-chip integration, the unit price of 4D basic imaging radar has dropped from RMB500-1000 in early 2024 to RMB200-400 in 2025, approaching the price range of traditional radar and only 1/5 to 1/10 of that of LiDAR without requiring an additional cleaning system (the cleaning cost of LiDAR is almost the same as that of the radar itself).

With the optimization of chip processes (such as NXP's S32R47 processor and Milliverse's MVRA188 8-transmitter/8-receiver chip) and economies of scale, the cost is expected to drop below $100, which will accelerate application and popularization. 4D imaging radar has become a must-have option in the era of equal access to autonomous driving safety. 4D imaging radar has been added, or 4D radar has replaced the original traditional radar.

2. By 2030, 4D radar will account for over 50%.

According to ResearchInChina, 2.737 million and 11.06 million 4D radar sensors were installed in 2024 and 2025 respectively. The figure is projected to exceed 50 million by 2030, with the penetration rate rising from 26.0% in 2025 to 54.5%. Correspondingly, the penetration rates of forward-facing 4D radar and 4D corner radar will also jump, with 4D corner radar showing the fastest growth.

In terms of product selection, OEMs regard 4D radar as an important technological supplement to cameras and LiDAR. Cameras are responsible for high-resolution semantic understanding and color information, LiDAR provides dense 3D shape, and 4D radar offers stable distance, speed, and altitude information in low visibility or complex electromagnetic environments. OEMs consider factors such as performance-cost balance and integrated perception.

Integrated perception has become the mainstream, and OEMs are actively increasing and upgrading their perception hardware. OEMs (such as the ONVO L60) generally adopt the basic "4D radar + vision" solution, and high-end models (such as the Maextro S800) add LiDAR to create redundancy. At the algorithm level, the BEV+Transformer architecture has become the standard solution for multi-sensor fusion, improving object tracking stability through temporal modeling.

3. 4D radar develop toward three directions

1. Chip processes continue to evolve towards more advanced levels, with continuous improvement in integration and performance.

As the "heart" of radar, the radio frequency MMICs is the most critical in the industry chain. MMICs have undergone iterative upgrades from GaAs to SiGe and then to CMOS. Because CMOS wafers are inexpensive and highly integrated, a radar only requires one RF front-end MMIC and one BBIC, further reducing the system cost by 40%. For example, NXP's 28 nm RFCMOS radar chip - SAF85xx has significantly improved performance compared to the previous 45 nm product, while its cost has been greatly reduced. Calterah's Andes premium 8T8R imaging radar solution connects two 4T4R Andes SoCs (22nm CMOS radar SoC - Andes RoP chip) via C2C, simplifying the hardware design architecture and making it more competitive in terms of system cost. It can achieve a maximum detection range of 350 meters.

As the core components of 4D radar, RF MMICs and processors account for more than 50% of the cost. Currently, there are different solutions for efficiency improvement and cost reduction in the industry, and players choose different routes.

Chip cascading: Combining multiple MMICs (such as two 3T4R chips forming a 6T8R) increases the number of channels to enlarge the aperture. Its advantages lie in a short development cycle and a mature industrial chain, while its disadvantages include high power consumption, large size and low signal-to-noise ratio. For example, WHST's STA77-6 4D radar uses a dual-chip cascade with 6 transmitters and 8 receivers, achieving a detection range of 300 meters. Its 4D ST77-10 has a dual-chip cascade with 16 transmitters and 16 receivers, a field of view of 120° x 30°, a resolution of 1° (horizontal) x 1.5° (elevation), and a detection range of 350 meters. This 24T24R imaging radar solution is built on NXP's next-generation high-performance MPU (S32R47) and cascaded 8T8R chips. Paired with NXP's 24T24R array waveguide antenna reference design, the solution can achieve imaging-level accuracy with 576 virtual channels, meaning it can accurately recognize scattered small objects 160 meters away.

Chip integration: Typical single-chip high integration solutions (such as 8T8R) come from NXP and ANDAR. For example, ANDAR's ADT7880 single-chip solution integrates 8 transmitters and 8 receivers, supports digital beamforming (DBF) architectures and flexible cascading, significantly reducing system complexity and cost.

2. Packaging technology is developing towards higher integration, driving the miniaturization and integration of radar modules.

Currently, radar packaging technologies include AiP, RoP, LoP/LiP, and RoC. Among them, AiP, such as Calterah's Alps AiP and TI's AWR2944, sacrifices some detection range in exchange for extreme miniaturization, making it suitable for in-cockpit applications. LoP such as TI's AWR2544 and NXP's SAF85xx improves the signal-to-noise ratio by optimizing the signal path. Its principle is to transmit the radio frequency signal directly from the bottom of the package to the external 3D waveguide antenna, requiring only 2 signal conversions (bare die -> package substrate -> waveguide), reducing 4 conversions required by traditional packaging. It is suitable for satellite-based radar (corner radar, door handle radar) and L3+ autonomous driving (high angular resolution required). The innovative RoP, by replacing traditional feeders with radiators, handles the insufficient channel isolation in AiP, while avoiding the mechanical stability risks incurred by LoP, representing a new direction for 4D imaging radar.

Microstrip antennas are gradually being upgraded to 3D waveguide antennas. For example, the 8T8R 4D imaging satellite radar single-chip solution from Guibu Microelectronics uses a 3D waveguide antenna to improve the signal-to-noise ratio and transmit/receive isolation, reduce BOM cost by about 30%, and cut down power consumption by about 30% compared to competitors under the same operating conditions. Baolong Technology's high-performance waveguide 4D radar adopts an air waveguide antenna solution, featuring high radiation efficiency, good anti-interference, and active frequency conversion to avoid interference from other automotive radars.

3. Satellite-based 4D radar achieves 'distributed sensing + centralized computing', helping to reduce cost and improve efficiency.

The core of "satellite-based 4D radar" lies in software-hardware decoupling and centralized computing architectures. It separates computing from the sensor and concentrates it in a powerful central domain controller. The radar only retains necessary radio frequency components (such as MMICs and antennas) for data collection, while processing and decision-making are carried out in the domain controller.

On October 30, 2025, SINPRO officially released its next-generation satellite-based 4D imaging radar - 5R system. The system includes a single front-to-center satellite 4D imaging radar sensor (SFR2-4D-S) and four corner satellite 4D radar sensors (SCR2-4D-S).

On October 22, 2025, Chuhang Tech, in collaboration with Guibu Microelectronics, officially released its first 4D satellite-based radar product - forward-facing satellite radar with a single-chip 8T8R integrated waveguide antenna. Its performance is comparable to that of a dual-cascaded 4D radar, while reducing cost by 60%. The integrated waveguide antenna design reduces the size by 30% and improves anti-interference capability by 50%. With "full localization + extreme cost performance", it fills the gap in domestic high-end radar and helps China's automotive industry chain achieve autonomy.

Table of Contents

Terminology

1 Overview of Automotive 4D Radar

  • 1.1 Overview
  • 1.2 Detection Performance
  • 1.3 4D Radar and 4D Imaging Radar (1)
  • 1.3 4D Radar and 4D Imaging Radar (2)
  • 1.4 Application Scenarios of 4D Radar (1)
  • 1.4 Application Scenarios of 4D Radar (2)
  • 1.5 Frame Rate Comparison between High-Definition Radar and Camera/LiDAR
  • 1.6 4D Radar OEM Strategy
  • 1.7 Reasons for the Trend of Installing 4D Imaging Radar in Vehicles
  • 1.8 4D Imaging Radar Industry Chain

2 Automotive 4D Radar Market

  • 2.1 Overview
    • 2.1.1 Status Quo
    • 2.1.2 Radar Type - Forward-facing Radar (1)
    • 2.1.2 Radar Type - Forward-facing Radar (2)
    • 2.1.2 Radar Type - Forward-facing Radar (3)
    • 2.1.3 Radar Type - Corner Radar (1)
    • 2.1.3 Radar Type - Corner Radar (2)
    • 2.1.3 Radar Type - Corner Radar (3)
    • 2.1.4 Price Range - Overview
    • 2.1.5 Price Range - RMB100,000-150,000
    • 2.1.6 Price Range - RMB150,000-200,000
    • 2.1.7 Price Range - RMB200,000-250,000
    • 2.1.8 Price Range - RMB250,000-300,000
    • 2.1.9 Price Range - RMB300,000-350,000
    • 2.1.10 Price Range - RMB350,000-400,000
    • 2.1.11 Price Range - RMB400,000-500,000
    • 2.1.12 Price Range - RMB500,000+
  • 2.2 Automotive 4D Radar Market
    • 2.2.1 Radar Type - Price Distribution and Competitive Landscape of 4D Forward-facing Radar
    • 2.2.2 Radar Type - 4D Forward-facing Radar by Brand
    • 2.2.3 Radar Type - Price Distribution and Competitive Landscape of 4D Corner Radar
    • 2.2.4 Radar Type - 4D Corner Radar by Brand
    • 2.2.5 4D Radar by Price - Overview
    • 2.2.6 Price Range - RMB0-100,000 - 4D Radar Solution
    • 2.2.7 Price Range - RMB100,000-150,000 - 4D Radar Solution
    • 2.2.8 Price Range - RMB150,000-200,000 - 4D Radar Solution
    • 2.2.9 Price Range - RMB200,000-250,000 - 4D Radar Solution
    • 2.2.10 Price Range - RMB250,000-300,000 - 4D Radar Solution
    • 2.2.11 Price Range - RMB300,000-350,000 - 4D Radar Solution
    • 2.2.12 Price Range - RMB350,000-400,000 - 4D Radar Solution
    • 2.2.13 Price Range - RMB400,000-500,000 - 4D Radar Solutionh
    • 2.2.14 Price Range - RMB500,000+ - 4D Radar Solution
  • 2.3 Radar Market in 2025-2030E
    • 2.3.1 Prediction of Radar 3D & 4D Installations
    • 2.3.1 Calculation of Radar 3D & 4D Installations
    • 2.3.2 Prediction of Radar Installations per Vehicle
    • 2.3.3 Features of 4D Radar Market: Explosive Growth in Installations
    • 2.3.4 4D Radar Installations, 2024-2030E
    • 2.3.5 Percentage of Automotive 4D Radar, 2024-2030E
    • 2.3.6 Automotive 4D Radar Market Size, 2024-2030E
    • 2.3.6 Basis for Estimating Automotive 4D Radar Market Size

3 Chinese Passenger Car 4D Radar Enterprises

  • 3.1 SINPRO
  • Next-Generation Satellite-Based 4D Imaging Radar
  • Technical Parameters of and Vehicle Models Supported by 4D Imaging Radar
  • Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
  • Production Base/Capacity
  • 3.2 WHST
  • 4D Imaging Radar
  • 4D Radar Models and Vehicle Models Supported
  • Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
  • Breakdown of 4D Corner Radar Installations by Vehicle Model
  • 3.3 Cheng-Tech
  • 4D Radar (1)
  • 4D Radar (5)
  • 4D Radar Models and Vehicle Models Supported
  • Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
  • Breakdown of 4D Corner Radar Installations by Vehicle Model
  • 3.4 Huawei
  • High-Precision 4D Radar
  • Breakdown of 4D Radar Installations by Vehicle Model
  • 3.5 Freetech
  • 4D Imaging Radar (1)
  • 4D Imaging Radar (2)
  • Breakdown of 4D Imaging Radar Installations by Vehicle Model
  • 3.6 Muniu Technology
  • Profile
  • Next-Generation 4D Imaging Radar (1)
  • Next-Generation 4D Imaging Radar (2)
  • 3.7 Autoroad Technology
  • 4D Imaging Radar (1)
  • 4D Imaging Radar (2)
  • 4D Imaging Radar Comparison
  • 3.8 Chuhang Tech
  • Profile
  • 4D Satellite-Based Radar (1)
  • 4D Satellite-Based Radar (2)
  • 4D Satellite-Based Radar (3)
  • 3.9 StarLeading
  • Profile and Development History
  • 4D Radar
  • Designated Project
  • 3.10 Hasco
  • 4D Imaging Radar
  • Jingwei Hirain
  • Imaging Radar
  • 3.12 Desay SV
  • 4D radar
  • 3.13 Nova
  • 4D Radar
  • 3.14 Baolong Automotive
  • High-Performance Waveguide 4D Radar
  • Designated Radar Case
  • 3.15 Nanoradar
  • 4D High-Resolution Imaging Radar
  • 3.16 Raytron Technology
  • 4D radar
  • 3.17 Weifu High-Technology
  • 4D Imaging Radar
  • Front Radar
  • Corner Radar
  • 3.18 Huaqin Technology
  • 4D Radar
  • 3.19 Lingtong Technology
  • 4D Radar
  • 4D Waveguide Corner Radar
  • 4D Radar System for Central Computing

4 Foreign Passenger Car 4D Radar Enterprises

  • 4.1 AUMOVIO
  • Profile
  • ARS620 Forward-Facing Radar
  • SRR630 Corner Radar
  • 4D Radar (1)
  • 4D Radar (2)
  • Breakdown of 4D Radar Installations by Vehicle Model
  • 4.2 APTIV
  • Gen-8 Radar Series (1)
  • Gen-8 Radar Series (2)
  • Gen-8 Radar Series - Forward-Facing 4D Radar (1)
  • Gen-8 Radar Series - Forward-Facing 4D Radar (2)
  • Gen-8 Radar Series - Corner Radar (1)
  • Gen-8 Radar Series - Corner Radar (2)
  • PULSE Radar Vision Integrated Perception System
  • Breakdown of 4D Radar Installations by Vehicle Model
  • 4.3 BOSCH
  • Overview of Business Development in China
  • Seventh-Generation Radar
  • Sixth-Generation Radar
  • Sixth-Generation Radar
  • Comparison between Fifth-Generation Radar VS Sixth-Generation Radar
  • Fifth-Generation radar
  • 4.4 ZF
  • Layout in China
  • 4D Radar
  • Breakdown of 4D Forward-Facing Radar Installations by Vehicle Model
  • Breakdown of 4D Rear Center Radar Installations by Vehicle Model
  • 4.5 Mobileye
  • Imaging Radar
  • 4.6 Altos Radar
  • 4D Imaging Radar

5 Automotive 4D Radar Chip/Antenna Enterprises

  • 5.1 TI
  • Automotive Radar Portfolio
  • ADAS Radar
  • Highly Integrated Single-Chip Radar
  • AWR2x44P/ECO/LC
  • ADAS High-Performance Corner Radar/Forward-Facing Radar with AWR2944P RoC
  • Body and Chassis Radar
  • AWRL6432 & AWRL6844
  • AWRL6844
  • 5.2 NXP
  • 4D Imaging Radar Framework Diagram
  • Radar SoC Framework Diagram
  • Radar Transceiver and SoC
  • S32R Radar Processor
  • S32R Imaging Radar MPU
  • S32Rxx Radar Processor
  • S32Rxx Imaging Radar Processor
  • S32Rxxx Imaging Radar Solution
  • S32Rxxx Imaging Radar Solution Framework Diagram
  • 24T24R Imaging Radar Solution
  • DAR High-Resolution Radar Technology
  • 5.3 Infineon
  • RASIC(TM) 77 GHz Sensor Portfolio
  • RASIC(TM) Radar MMIC
  • RASIC(TM) CTRX8191F Radar MMIC
  • Automotive XENSIV(TM) 24GHz Radar
  • Automotive XENSIV(TM) 60GHz Radar
  • 5.4 Arbe
  • Profile
  • Chipset (1)
  • Chipset (2)
  • Phoenix Radar (1)
  • Phoenix Radar (2)
  • Phoenix Radar (3)
  • 5.5 Uhnder
  • Imaging Radar Solution (1)
  • Imaging Radar Solution (2)
  • 5.6 Calterah
  • Andes: 4D Imaging Radar (1)
  • Andes: 4D Imaging Radar (2)
  • Advanced Imaging Radar Solution
  • 5.7 ANDAR
  • Profile
  • Radar Chip Matrix
  • ADT2011/2012
  • 4D Imaging Radar Chip (1)
  • 4D Imaging Radar Chip (2)
  • Radar Chip (1)
  • Radar Chip (2)
  • Radar Chip (3)
  • Radar Chip (4)
  • Radar Development Platform (1)
  • Radar Development Platform (2)
  • Radar Development Platform (3)
  • 5.8 Guibu Microelectronics
  • 4D Imaging Radar Chip (1)
  • 4D Imaging Radar Chip (2)
  • 5.9 SenardMicro
  • Profile
  • 4D Radar Transceiver (1)
  • 4D Radar Transceiver (2)
  • 5.10 Milliverse (Archiwave)
  • 4D Imaging Radar MMIC
  • 5.11 Possumic
  • Profile
  • 4D Radar SoC (1)
  • 4D Radar SoC (2)
  • 5.12 SGR Semiconductors
  • Automotive Radar Chip (1)
  • Automotive Radar Chip (2)
  • 5.13 Southchip Semiconductor Technology
  • Radar Chip
  • 5.14 Boxun Communications
  • Automotive 4D Radar Antenna
  • 5.15 SPEED Wireless Technology
  • Radar Waveguide Antenna (1)
  • Radar Waveguide Antenna (5)
  • 5.16 Waveland Technology
  • Profile
  • Radar Waveguide Antenna
  • 5.17 SMARTCOMTECH
  • Automotive Radar Antenna
  • 5.18 HUBER+SUHNER
  • Profile
  • Plastic Metallized Waveguide Antenna (1)
  • Plastic Metallized Waveguide Antenna (2)
  • Plastic Metallized Waveguide Antenna (3)

6 Summary and Trends of Automotive 4D Radar

  • 6.1 Comparison of 4D Radar Chip Companies in Technical Parameters and Customers
  • 6.2 Comparison of 4D Radar Technologies in Parameters (1)
  • 6.2 Comparison of 4D Radar Technologies in Parameters (5)
  • 6.3 Vehicle Models Equipped with 4D Radar (1)
  • 6.3 Vehicle Models Equipped with 4D Radar (2)
  • 6.3 Vehicle Models Equipped with 4D Radar (3)
  • 6.4 Trend 1:
  • 6.5 Trend 2:
  • 6.6 Trend 3:
  • 6.7 Trend 4:
  • 6.8 Trend 5:
  • 6.9 Trend 6:
  • 6.10 Trend 7:
  • 6.11 Trend 8:
  • 6.12 Trend 9: