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市场调查报告书
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自动驾驶汽车市场中的传感器融合——COVID-19 的增长、趋势、影响和预测 (2023-2028)

Sensor Fusion Market In Autonomous Vehicles - Growth, Trends, And Forecasts (2023 - 2028)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

在预测期内，自动驾驶汽车的传感器融合市场预计将以 19.6% 的复合年增长率增长。 在自动驾驶汽车中加入高级功能（例如高级驾驶员辅助系统 (ADAS)、新型雷达系统、摄像头、激光雷达和 GNSS 传感器）的趋势日益增长，这就需要能够快速、安全地感知和响应变量的灵活系统。也是推动自动驾驶汽车中传感器融合增长的主要因素之一。

主要亮点

  • 解决传感器之间的差异、同步传感器、预测物体的未来位置以及满足自动驾驶的安全要求是传感器融合在自动驾驶汽车应用中的一些关键目标。 根据世界经济论坛的数据，到 2035 年，预计每年将售出超过 1200 万辆全自动驾驶汽车。 据称，自动驾驶汽车占全球汽车市场的 25%。 据Intel称，一辆自动驾驶汽车平均每天可以产生 4 TB 的数据。 Sense Fusion 解决方案可以在实时利用大量数据方面发挥关键作用。
  • 随着 ADAS 发展的进步和 GPS-IMU（惯性测量单元）融合原理的利用，可以消除绝对位置测量间隔中估计误差的累积。 Tesla的自动驾驶功能“Autopilot”是 ADAS 的一个例子，它实现了诸如根据前置摄像头和传感器收集的数据确定准确位置以及将车辆中心保持在高速公路车道内等功能。
  • 汽车製造商与软件公司之间的合作是市场上的普遍趋势。 例如，2021年4月，提供激光雷达传感器的RoboSense将与提供智能汽车操作系统和解决方案的Banma Network以及中国领先的robo-taxi运营商AutoX合作，为汽车提供高水平的自动驾驶服务。智能汽车，我们签约合作搭建平台。 建立合作伙伴关係的主要目标是通过人工智能功能、硬件和软件的融合，促进智能驾驶舱和自动驾驶系统的集成。
  • 全球范围内严格的政府法规也在推动所研究市场的产品需求。 例如，Euro NCAP（欧洲新车评估计划）要求引入至少一种驾驶辅助系统。 日本、美国等国家在国内NCAP法规中也采用了类似的标准。
  • 自动驾驶技术中日益增加的安全问题不仅限制了自动驾驶汽车的采用，而且可能会影响传感器融合解决方案的可信度。 标准化是阻碍传感器融合系统发展的因素之一。 如果没有全球标准，设备和 IC 的复杂性预计将呈指数级增长。
  • COVID-19 的爆发正在加剧其对全球汽车行业的影响。 随着户外活动减少，对汽车的需求大幅下降，主要是在大流行的早期阶段。 此外，汽车零部件供应减少和生产设施关闭导致汽车製造商的营运资金减少，导致新技术投资的延迟和减少。 然而，随着汽车行业从大流行中復苏，传感器融合解决方案提供商也迎来了新的机遇。

自动驾驶汽车传感器融合的市场趋势

乘□□用车占据较大市场份额

  • 由于对具有高级功能的汽车的需求不断增长，乘用车製造商对开发自动驾驶汽车的兴趣与日俱增。 汽车製造商、科技公司和研究人员一直致力于进一步开发自动驾驶汽车背后的技术。 由于这些车辆配备了多个收集大量数据的传感器，因此传感器融合已成为使供应商能够智能地使用传感器数据的理想解决方案。
  • 近年来，售出的乘用车数量一直在上升。 虽然大流行影响了增长，但影响是短期的，预计将推动未来几年的增长。 例如，根据 OICA 的数据，2021 年乘用车销量将从 2020 年的 5390 万辆增加到 5640 万辆。 预计这些发展将成为所研究市场增长的重要驱动力。
  • 自动驾驶汽车的一个关键方面是路径规划。 传感器融合通过整合传感器读数以准确了解车辆状态并预测周围物体的轨迹，发挥着关键作用。 因此，随着自动驾驶乘用车销量的增加，预计未来的采用率将会增加。
  • 此外，自动紧急制动 (AEB) 是一种增强型主动安全系统，可帮助协调员避免或减轻与其他车辆或弱势道路使用者的碰撞。 通常需要多个传感器来进行准确、可靠和稳健的检测，同时最大限度地减少误报。 随着安全成为汽车行业，尤其是乘用车领域日益重要的问题，AEB 系统的日益普及预计将对传感器融合系统的需求产生积极影响。
传感器融合市场-IMG1

北美市场份额大

  • 北美是世界领先的汽车生产基地之一。 该地区的经济增长正在影响乘用车和商用车的销售。 美国是北美地区汽车製造大国之一，不仅国内消费大，而且是全球汽车出口大国。 例如，根据美国国际贸易委员会的数据，2021年轻型车出口数量将达到16.1935亿辆。
  • 该地区还是采用支持 ADAS 的车辆和自动驾驶交通解决方案的先驱之一。 根据德意志银行的数据，预计 2021 年美国 ADAS 单位产量将达到 1845 万辆。 ADAS（高级驾驶辅助系统）可以支持自适应巡航控制（ACC）、自动紧急制动（AEB）、车道偏离、盲点检测、360度二次环视等，ADAS系统的设计中使用了很多传感器。这些趋势预计将推动该国对传感器融合解决方案的需求，因为它们正在使用中。
  • 根据 ITA 的数据，加拿大是北美第二大汽车市场，进口汽车约占新车市场的四分之三。 2021年乘用车进口额将增长约26%（同比）至278亿美元。 该国对自动驾驶汽车的接受度正在显着提高，促使汽车製造商加大投资力度。 例如，Tesla、Uber、Toyota、BMW、General Motors、Nissan等技术和汽车公司都在竞相为加拿大消费者开发自动驾驶汽车。
  • 此外，依靠一系列强大的先进传感技术（包括多个 LiDAR）来安全地在復杂的城市环境中行驶的 Robotaxis 还不成熟。 儘管如此，Waymo、Cruise 和 Uber 仍在美国大力投资和运营实验车辆，有望创造未来机会。
传感器融合市场-IMG2

自动驾驶汽车传感器融合市场的竞争对手分析

自动驾驶汽车的传感器融合市场是一个竞争鬆散的市场，拥有博世、STMicroelectronics 和 NXP Semiconductors NV 等大型企业，以及专注于该技术的新进入者。 供应商正越来越多地努力使这项技术为未来的自动驾驶汽车做好准备并使其价格合理。

2022 年 10 月 - 美国领先的汽车传感器解决方案提供商 Microvision 在布鲁塞尔举行的 AutoSens 2022 展会上推出了动态视图激光雷达系统“MAVIN DR”。 MAVIN DR 激光雷达系统具有动态视野。 它提供高分辨率和低延迟，使新 ADAS 安全功能的设计人员能够实现原始设备製造商所需的正确高速公路驾驶功能。

2022 年 4 月 - Volkswagen Group的软件公司 CARIAD 收购了传感器数据融合公司 Intenta GmbH 的汽车部门。 此次收购符合公司的战略，即显着扩大其在软件和硬件开发领域的垂直价值创造，实现关键软件组件的内部开发，并深化关键开发领域的附加值。这是一回事。

其他福利。

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

内容

第一章介绍

  • 研究假设和市场定义
  • 调查范围

第二章研究方法论

第 3 章执行摘要

第 4 章市场洞察

  • 市场概览
  • 产业吸引力 - 波特五力分析
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 竞争对手之间的竞争强度
    • 替代品的威胁
  • 工业价值链分析
  • 技术快照
  • 关于 COVID-19 对市场的影响

第 5 章市场动态

  • 市场驱动因素
    • 对自动驾驶汽车的需求不断增长
    • 高效的实时数据处理和数据共享能力推动需求
  • 市场製约因素
    • 传感器融合技术缺乏标准化

第 6 章主要市场趋势

  • 主要专利和研究活动
  • 主要用途和新用途
    • 自适应巡航控制 (ACC)
    • 自动紧急制动 (AEB)
    • 电子稳定性控制 (ESC)
    • 前方碰撞警告 (FCW)
    • 其他用途

第 7 章市场细分

  • 车辆类型
    • 乘用车
    • 轻型商用车 (LCV)
    • 重型商用车 (HCV)
    • 其他自动驾驶车辆
  • 按地区
    • 北美
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东/阿胡岛利卡地区

第八章竞争格局

  • 公司简介
    • Robert Bosch GmbH
    • Microchip Technology Inc.
    • Infineon Technologies AG
    • BASELABS GmbH
    • NXP Semiconductor
    • STMicroelectronics NV
    • Aimotive kft
    • Kionix Inc（Rohm Co. Ltd）
    • TDK Corporation
    • CEVA Inc.

第九章投资分析

第十章市场展望

简介目录
Product Code: 71711

The sensor fusion market in autonomous vehicles is expected to grow by registering a CAGR of 19.6% during the forecast period. The growing trend of including advanced functionalities in autonomous vehicles, such as advanced driver assistance systems (ADAS), new radar systems, cameras, lidar, and GNSS sensors enhanced the requirements of flexible systems to quickly and safely detect the variables and respond, which is also among the significant factors driving the growth of sensor fusion in the autonomous vehicle sector.

Key Highlights

  • Resolving contradictions between sensors, synchronizing sensors, predicting the future positions of objects, and achieving automated driving safety requirements are some of the primary objectives of sensor fusion in an autonomous vehicle application. According to the World Economic Forum, more than 12 million fully autonomous cars are expected to be sold annually by 2035. Autonomous vehicles will account for 25% of the global automotive market. According to Intel, a single autonomous vehicle can generate an average of 4 terabytes of data per day. Sens fusion solutions can play a significant role in utilizing this massive data in real time.
  • The growing development in ADAS and increasing utilization of the principle of GPS-IMU (Inertial Measurement Unit) fusion helps solve accumulated errors of dead reckoning in intervals with absolute position readings. Tesla's Autopilot automated driving feature is an example of an ADAS that can perform functions such as keeping the vehicle center in a highway lane by determining its precise position from data collected from a forward-facing camera and sensors.
  • Collaboration between automotive and software companies is a common trend in the market. For instance, in April 2021, RoboSense, a lidar sensor provider, formed a partnership with Banma Network Technology, an intelligent automobile operating system and solution provider, and AutoX, China's leading robotaxi operator, to build a high-level autonomous driving platform for intelligent vehicles. The partnership was established primarily to promote the integration of intelligent cockpits with autonomous driving systems through the fusion of AI Capabilities, hardware, and software.
  • Stringent government regulations globally also fuel the demand for the products in the market studied. For instance, Euro NCAP (European New Car Assessment Program) mandates the deployment of at least one driver assistance system. Countries like Japan and the United States also adopt similar criteria in their national NCAP rules.
  • The growing safety issue of autonomous technology can not only limit the adoption of autonomous vehicles but could claim the authenticity of sensor fusion solutions. Standardization is one of the factors hindering the evolution of sensor fusion systems. Without global standards, the level of complexity of devices and ICs is expected to increase exponentially.
  • The COVID-19 outbreak increasingly affected the automotive sector globally. Due to reduced outdoor activities, the demand for automobiles declined significantly, primarily during the initial phase of the pandemic. Furthermore, the reduced supply of automotive parts and shutdown of production facilities fell the working capital of automobile manufacturers, resulting in a delay or reduction in investments in new technologies. However, with the automotive sector recovering from the pandemic, new opportunities are on the horizon for sensor fusion solution providers.

Autonomous Vehicles Sensor Fusion Market Trends

Passenger Cars to Hold a Significant Market Share

  • There is an increasing interest among passenger car makers in developing autonomous cars, owing to the growing demand for vehicles with premium features. Car manufacturers, technology companies, and researchers are continuously working on further developing the technologies behind the autonomous car. As these vehicles include multiple sensors that gather massive amounts of data, sensor fusion emerged as an ideal solution to enable vendors to use the sensor data intelligently.
  • Recent years have witnessed an upward growth trend in passenger vehicle sales. Although the pandemic affected the growth, the impact is more in the short term, which is expected to gain traction in the next few years. For instance, according to OICA, in 2021, sales of passenger cars increased to 56.4 million units from 53.9 million in 2020. Such trends are expected to act as a significant driving factor for the growth of the studied market.
  • One crucial aspect of autonomous vehicles is path planning. Sensor fusion plays an essential role here by integrating the sensor readings to construct a precise picture of the vehicle's state and predict the trajectories of the surrounding objects. Hence, the adoption would increase with the increase in passenger car sales, which are autonomous in the coming times.
  • Furthermore, Autonomous Emergency Braking (AEB) is an enhanced active safety system that helps drivers avoid or mitigate collisions with other vehicles or vulnerable road users. Multiple sensors are often needed for accurate, reliable, and robust detections while minimizing false positives. With safety becoming an increasingly important issue in the automotive industry, especially in the passenger vehicle segment, the increasing adoption of AEB systems is expected to impact the demand for sensor fusion systems positively.
Sensor Fusion Market - IMG1

North America to Retain a Significant Market Share

  • North America is among the largest automotive manufacturing hubs in the world. The economic growth of the region posed an impact on the sale of passenger cars and commercial vehicles. The United States is among the leading automobile manufacturers in the North American region; apart from high domestic consumption, the country also exports automobiles globally. For instance, according to the US International Trade Commission, the export volume of light vehicles reached 1,619.35 thousand units in 2021.
  • The region is also among the pioneers in adopting ADAS-enabled vehicles and self-driven transportation solutions. According to Deutsche Bank, the US ADAS unit production volume was forecasted to reach 18.45 million by 2021. ADAS (advanced driver-assistance systems) is capable of supporting adaptive cruise control (ACC), automatic emergency braking (AEB), lane departure, blind-spot detection, 360° surround view, etc., as a lot of sensors are used in designing the ADAS systems, such trends are expected to drive the demand for sensor fusion solutions in the country.
  • According to ITA, Canada is the second largest automotive market in the North American region, where imports represent about three-quarters of the new vehicles market. In 2021, the import value of passenger vehicles increased by about 26% (compared to the last year) to USD 27.8 billion. The country's acceptance of autonomous cars is growing significantly, encouraging automobile manufacturers to increase their investment. For instance, tech and motor companies like Tesla, Uber, Toyota, BMW, GM, and Nissan are all in the race to develop autonomous vehicles for Canadian consumers.
  • Furthermore, Robotaxis (relying on a powerful array of advanced sensing technologies that include multiple LiDARs to maneuver complex urban environments safely) is not quite here. Still, Waymo, Cruise, and Uber are investing heavily in and operating experimental fleets in the United States, which is expected to create future opportunities.
Sensor Fusion Market - IMG2

Autonomous Vehicles Sensor Fusion Market Competitor Analysis

The Sensor Fusion Market in Autonomous Vehicles is moderately competitive, owing to the mixed presence of both large-scale companies, such as Bosch, STMicroelectronics, and NXP Semiconductors NV, as new players specifically focused on this technology. The vendors are increasingly focusing on developing the technology to prepare it for future autonomous vehicles and make it affordable.

October 2022 - MicroVision, a leading American automotive sensor solution provider, unveiled MAVIN DR, a dynamic view lidar system, at the AutoSens 2022 Show in Brussels. The MAVIN DR lidar system features a dynamic field of view. It delivers high resolution with low latency, enabling new ADAS safety feature designers to achieve the proper highway-pilot functionality that OEMs demand.

April 2022 - CARIAD, the Volkswagen Group's software company, acquired the automotive division of Intenta GmbH, which works in sensor data fusion. The acquisition is in line with the company's strategy to massively increase its vertical value creation in software and hardware development to enable itself to develop critical software components in-house and increase the depth of value added in key development areas.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Intensity of Competitive Rivalry
    • 4.2.5 Threat of Substitute Products
  • 4.3 Industry Value Chain Analysis
  • 4.4 Technology Snapshot
  • 4.5 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand for Autonomous Vehicles
    • 5.1.2 Efficient Real Time Data Processing and Data Sharing Capabilities to Drive the Demand
  • 5.2 Market Restraints
    • 5.2.1 Lack of Standardization in Sensor Fusion Technology

6 KEY MARKET TRENDS

  • 6.1 Key Patents and Research Activities
  • 6.2 Major and Emerging Applications
    • 6.2.1 Adaptive Cruise Control (ACC)
    • 6.2.2 Autonomous Emergency Braking (AEB)
    • 6.2.3 Electronic stability control (ESC)
    • 6.2.4 Forward Collision Warning (FCW)
    • 6.2.5 Other Applications

7 MARKET SEGMENTATION

  • 7.1 By Types of Vehicle
    • 7.1.1 Passenger Cars
    • 7.1.2 Light Commercial Vehicle (LCV)
    • 7.1.3 Heavy Commercial Vehicle (HCV)
    • 7.1.4 Other Autonomous Vehicles
  • 7.2 By Geography
    • 7.2.1 North America
    • 7.2.2 Europe
    • 7.2.3 Asia-Pacific
    • 7.2.4 Latin America
    • 7.2.5 Middle East & Africa

8 COMPETITIVE LANDSCAPE

  • 8.1 Company Profiles
    • 8.1.1 Robert Bosch GmbH
    • 8.1.2 Microchip Technology Inc.
    • 8.1.3 Infineon Technologies AG
    • 8.1.4 BASELABS GmbH
    • 8.1.5 NXP Semiconductor
    • 8.1.6 STMicroelectronics NV
    • 8.1.7 Aimotive kft
    • 8.1.8 Kionix Inc (Rohm Co. Ltd)
    • 8.1.9 TDK Corporation
    • 8.1.10 CEVA Inc.

9 INVESTMENT ANALYSIS

10 FUTURE OUTLOOK OF THE MARKET