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市場調查報告書
商品編碼
1040073

汽車傳感器市場:技術演進、趨勢、預測(2021-2026)

Automotive Sensors Market: Technology Evolution, Trends & Forecasts 2021-2026

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告調查了汽車傳感器市場,包括市場前景、影響市場的技術、法規和商業趨勢、每種傳感器的未來發展、區域/國家分析和駕駛。它提供了5年預測等信息例如傳感器市場發展水平、出貨量和收入。

本報告涵蓋的國家

  • 阿根廷
  • 澳大利亞
  • 巴西
  • 加拿大
  • 中國
  • 哥倫比亞
  • 丹麥
  • 法國
  • 德國
  • 印度
  • 意大利
  • 日本
  • 墨西哥
  • 荷蘭
  • 挪威
  • 波蘭
  • 葡萄牙
  • 沙特阿拉伯
  • 新加坡
  • 南非
  • 韓國
  • 西班牙
  • 瑞典
  • 英國
  • 美國

目錄

第 1 章要點和戰略建議

  • 要點
  • 戰略建議

第二章駕駛傳感器市場現狀

  • 簡介
    • 傳感器分類方法
      • AV 和 ADAS 傳感器
      • 操作安全傳感器
      • 駕駛安全傳感器
  • 傳感器和汽車生態系統
    • 車載網絡傳感器
      • 可以
      • Flexray
      • 汽車以太網
    • 傳感器價值鏈分析
      • 芯片製造商
      • 軟件開發人員
      • 一級供應商
      • 整車代工
      • 零售商

第三章傳感器技術的演進

  • 驅動傳感器 逐漸進化
    • 第一階段
    • 階段 2
    • 階段 3
    • 階段 4
    • 階段 5
    • 階段 6
  • 駕駛傳感器市場趨勢
    • 5G 和 C-V2X
    • 電動汽車的影響
    • 安全和網絡安全
    • 滲透一切的軟件

第四章汽車傳感器專利解析

  • 簡介
  • 汽車廠商專利分析
    • 福特汽車
      • 停車方法和系統
      • 自適應傳感器融合
    • 豐田
      • 自適應激光雷達系統
    • State Farm Mutual 汽車保險
      • 自動駕駛汽車經營者身份識別
    • Waymo
      • 報告道路事件數據並與其他車輛共享
      • 自動標記傳感器數據中的對象
    • 特斯拉汽車
      • 使用視覺圖像數據估計對像屬性
    • 極光創新
      • 脈衝波激光雷達系統及方法
    • Luminar Technologies
      • 用於成像系統的車道檢測和跟蹤技術

第五章汽車傳感器市場預測

  • 調查方法和先決條件
  • 總結預測
    • 傳感器在運行
    • 傳感器發貨
    • 傳感器收入
  • AV 和 ADAS 傳感器預測
    • 安裝基礎
    • 運輸
    • 收入
  • 操作安全傳感器預測
  • 駕駛安全傳感器預測
目錄

Juniper Research's new “Automotive Sensors Market ” report delivers an extensive and incisive analysis of this increasingly complex and vital market. The report provides vision into the technologies, macro trends and innovations that will drive the future of the sector. The research also features a range of insights into the future of this market, across a variety of lenses.

The report provides insight and forecasts into the following forms of sensors in the market:

  • Autonomous Vehicle & ADAS Sensors, covering:
    • CMOS Sensors
    • Radar Sensors
    • LiDAR Sensor
  • Operational Safety Sensors, covering:
    • NOX Sensors
    • O2 Sensors
    • Position Sensors
    • Temperature Sensors
  • Driving Safety Sensors, covering:
    • Inertia Sensors
    • Speed Sensors

This research includes:

  • Market Strategies & Forecasts (PDF)
  • 12 months' access to harvest online data platform

KEY FEATURES

  • Market Outlook: In-depth assessment of, and insights into the driving sensors market, examining:
    • Technological, regulatory and business trends impacting the space
    • The future evolution of each type of sensor
  • Value Chain Analysis: Evaluation of the value chain and how different players will be impacted by changes in the industry.
  • Patent Analysis: Evaluation of a range of patents filed by a number of key companies active in vehicle sensor development, for indications of their future direction. Covering patents by:
    • Aurora Innovation
    • Ford
    • Luminar Technologies
    • State Farm Mutual Automobile Insurance
    • Tesla
    • Toyota
    • Waymo
  • Interactive Forecast Excel: Highly granular dataset comprising of over 67,000 datapoints; allied to regional and sector analysis tools. Includes regional and country-level analysis, together with 5-year forecasts for the driving sensors market, including deployment levels, shipments, and revenue.

KEY QUESTIONS

  • 1. What sensors are going to be the most prevalent in automotive vehicle development?
  • 2. How will the increasing electrification of vehicles impact the sensors market?
  • 3. What considerations do vehicle sensor manufacturers need to consider, as vehicles become increasingly digitised?
  • 4. What technologies and use cases will more advanced vehicle sensors enable?
  • 5. How much will the vehicle sensors market be worth over the next 5 years?

COMPANIES REFERENCED

Mentioned: Alphabet, Amphenol Advanced Sensors, Apple, Audi, Aurora Innovation, BMW, Bosch, Broadcom, Car.Software, Continental, Daimler Truck , Deloitte, Denso, Ford Motor, General Motors, Google, GreyB, Hella, Honeywell, Infineon Technologies, Intel, ISO (International Organization for Standardization), Luminar Technologies, Lyft, Mobileye, Nikkei, Nvidia, NXP Semiconductors, O2, Open Alliance SIG, OptoGration, Qualcomm, Quantum Signal AI, Recogni, Renault, Rideon, SAE (Society of Automotive Engineers), Samsung, Seeed Studio, Siemens, Sony, State Farm Mutual Automobile Insurance, Tesla, Toyota, UNECE (United Nations Economic Commission for Europe), Upstream Security, Velodyne, Veoneer, Volkswagen, Volvo, Waymo.

DATA & INTERACTIVE FORECAST

The new “Automotive Sensors Market ” forecast suite includes:

  • Autonomous Vehicle & ADAS Sensors, covering:
    • CMOS Sensors
    • Radar Sensors
    • LiDAR Sensor
  • Operational Safety Sensors, covering:
    • NOX Sensors
    • O2 Sensors
    • Position Sensors
    • Temperature Sensors
  • Driving Safety Sensors, covering:
    • Inertia Sensors
    • Speed Sensors
  • All sensor forecasts split by vehicle type:
    • Consumer Vehicles
    • Commercial Vehicles
  • All sensor types and splits include:
    • Sensors Installed Base
    • Average Sensors per Vehicle
    • Sensors Shipped
    • Sensors Average Selling Price
    • Sensors Revenue
  • Data splits for 8 key regions and 25 countries including:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Poland
    • Portugal
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Access to the full set of forecast data of 292 tables and over 67,000 data points.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1 Key Takeaways
  • 1.2 Strategic Recommendations

2. Driving Sensors Market Landscape

  • 2.1 Introduction
    • 2.1.1 Sensor Taxonomy
      • i. AV & ADAS sensors
        • Figure 2.1: Bosch CMOS Camera
        • Figure 2.2: Velodyne LiDAR
        • Figure 2.3: Hella Radar
        • Figure 2.4: Continental Ultrasonic Sensor
      • ii. Operational Safety Sensors
        • Figure 2.5: Bosch NOX Sensor
        • Figure 2.6: Delphi Oxygen Sensor
        • Figure 2.7: Bosch Crankshaft Position Sensor
        • Figure 2.8: Hella Intake Air Temperature Sensor
        • Figure 2.9: Denso Coolant Temperature Sensor
      • iii. Driving Safety Sensors
        • Figure 2.10: Honeywell Inertial Measurement Sensor
        • Figure 2.11: Continental 6DoF Automotive Inertial Sensor
        • Figure 2.12: Aim Hall Effect Wheel Speed Sensor
        • Figure 2.13: Ford Motor Wheel Speed Sensor
  • 2.2 Sensors and the Automotive Ecosystem
    • 2.2.1 Sensors in Vehicle Networking
      • i. CAN
        • Figure 2.14: Seeed Studio CAN-BUS Shield
      • ii. LIN
        • Figure 2.15: Phytools PCAN-LIN Converter Module
      • iii. Flexray
        • Figure 2.16: Infineon Automotive FlexRay Transceiver
      • iv. Automotive Ethernet
    • 2.2.2 Sensors Value Chain Analysis
      • Figure 2.17: Driving Sensors Value Chain
      • i. Chip Makers
        • Figure 2.18: Bosch Automotive Integrated Circuit
      • ii. Software Developers
        • Figure 2.19: Nvidia Self-driving Car Simulation
      • iii. Tier 1 Suppliers
      • iv. Vehicle OEMs
        • Figure 2.20: General Motors 'LYRIQ' Electric Cadillac
      • v. Retailers
        • Figure 2.21: Tesla Showroom

3. Sensor Technology Evolution

  • 3.1 Driving Sensors Phased Evolution
    • Figure 3.1: Driving Sensors Phased Evolution Model
    • 3.1.1 Phase 1
    • 3.1.2 Phase 2
    • 3.1.3 Phase 3
    • 3.1.4 Phase 4
      • Figure 3.2: 2022 BWM iX
    • 3.1.5 Phase 5
    • 3.1.6 Phase 6
      • Figure 3.3: Waymo Phoenix Robo-taxi
  • 3.2 Driving Sensors Market Trends
    • 3.2.1 5G & C-V2X
      • Figure 3.4: 5G Cell Phone Tower Beijing
    • 3.2.2 The Impact of Electric Vehicles
      • Figure 3.5: Audi A6 e-tron Electric Concept
      • Figure 3.6: Amphenol Bus-bar Integrated Temperature Sensor
      • Figure 3.7: Rideon Reinforced Isolated High-power Shunt Module
    • 3.2.3 Safety and Cybersecurity
      • Figure 3.8: Autonomous Vehicle Camera Feed
      • Figure 3.9: Korea Transportation Safety Authority Self-driving Test
    • 3.2.4 Software Eats Everything
      • Figure 3.10: Renovo Self-driving Vehicle Prototypes
      • Figure 3.11: Sony Vision-S Electric Car Concept

4. Automotive Sensors Patent Analysis

  • 4.1 Introduction
    • Figure 4.1: Tesla Autopilot Demonstration with Camera Feed
  • 4.2 Patent Analysis by Automaker
    • 4.2.1 Ford Motor
      • Figure 4.2: Ford Active Park Assist 2.0
      • i. Method and System for Parking
        • Figure 4.3: Ford Patent US2021053556A
      • ii. Adaptive sensor fusion
        • Figure 4.4: Ford Patent US2021097783A1
    • 4.2.2 Toyota
      • Figure 4.5: Toyota P4 LiDAR Test Vehicle
      • i. Adaptive LiDAR system
        • Figure 4.6: Toyota Patent US20190361100A1
    • 4.2.3 State Farm Mutual Automobile Insurance
      • i. Autonomous vehicle operator identification
        • Figure 4.7: State Farm Automobile Insurance Patent US2021031779A1
    • 4.2.4 Waymo
      • Figure 4.8: Waymo LiDAR Test Vehicle
      • i. Reporting Road Event Data and Sharing with Other Vehicles
        • Figure 4.9: Waymo Patent EP3113996B1
      • ii. Automatic Labelling of Objects in Sensor Data
        • Figure 4.10: Waymo Patent US2021150280A1
        • Figure 4.11: Waymo Self-Driving Truck Test
    • 4.2.5 Tesla Motors
      • Figure 4.12: Tesla Model X
      • i. Estimating Object Properties Using Visual Image Data
        • Figure 4.13: Tesla Patent US10956755B2
    • 4.2.6 Aurora Innovation
      • Figure 4.14: Aurora Innovation Long Range LiDAR test
      • i. Systems and Methods for Pulse-wave LiDAR
        • Figure 4.15: Aurora Innovation Patent US11029395B1
    • 4.2.7 Luminar Technologies
      • Figure 4.16: Luminar Technologies and Volvo Partnership
      • i. Lane Detection and Tracking Techniques for Imaging Systems
        • Figure 4.17: Luminar Technologies Patent US2021209941A1

5. Automotive Sensors Market Forecasts

  • 5.1 Methodology & Assumptions
    • Figure 5.1: Automotive Sensors Forecast Methodology
  • 5.2 Summary Forecasts
    • 5.2.1 Sensors in Use
      • Figure & Table 5.2: Number of Driving Sensors in Use per annum (m), Split Sector, 2021-2026
    • 5.2.2 Sensors Shipments
      • Figure & Table 5.3: Number of Driving Sensors Shipped per annum (m), Split by Sector, 2021-2026
    • 5.2.3 Sensors Revenue
      • Figure & Table 5.4: Driving Sensors Revenue per annum ($m), Split by Sector, 2021-2026
  • 5.3 AV & ADAS Sensors Forecasts
    • 5.3.1 Installed Base
      • Figure & Table 5.5: Number of AV & ADAS Sensors, Installed Base per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.3.2 Shipments
      • Figure & Table 5.6: Number of AV & ADAS Sensors Shipped per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.3.3 Revenue
      • Figure & Table 5.7: AV & ADAS Sensor Revenue per annum ($m), Split by 8 Key Regions, 2021-2026
  • 5.4 Operational Safety Sensors Forecasts
    • 5.4.1 Installed Base
      • Figure & Table 5.8: Number of Operational Safety Sensors, Installed Base per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.4.2 Shipments
      • Figure & Table 5.9: Number of Operational Safety Sensors Shipped per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.4.3 Revenue
      • Figure & Table 5.10: Operational Safety Sensors Revenue per annum ($m), Split by 8 Key Regions, 2021-2026
  • 5.5 Driving Safety Sensors Forecasts
    • 5.5.1 Installed Base
      • Figure & Table 5.11: Number of Driving Safety Sensors, Installed Base per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.5.2 Shipments
      • Figure & Table 5.12: Number of Driving Safety Sensors Shipped per annum (m), Split by 8 Key Regions, 2021-2026
    • 5.5.3 Revenue
      • Figure 5.13: Driving Safety Sensors Revenue per annum ($m), Split by 8 Key Regions, 2021-2026