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市场调查报告书
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1630225

感测器融合 -市场占有率分析、产业趋势/统计、成长预测 (2025-2030)

Sensor Fusion - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
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

感测器融合市场预计在预测期内复合年增长率为 19.2%

感测器融合-市场-IMG1

主要亮点

  • 解决感测器之间的衝突、同步感测器、预测物体的未来位置以及实现自动驾驶的安全要求是自动驾驶汽车应用中感测器融合的一些关键目标。汽车中自动驾驶功能的不断整合预计将在预测期内推动所研究市场的成长。
  • 根据世界经济论坛（WEF）预测，到2035年，全自动驾驶汽车的年销量预计将超过1,200万辆，自动驾驶汽车预计将占全球汽车市场的25%。此外，据英特尔称，一辆自动驾驶汽车平均每天产生 4 Terabyte的资料。因此，感测器融合解决方案可以在即时利用大量资料发挥关键作用。
  • 世界各地严格的政府法规也推动了对研究市场产品的需求。例如，在欧洲，Euro NCAP（欧洲新车评估计画）要求安装至少一套驾驶员辅助系统。日本和美国等国家也在其国家 NCAP 法规中采用了类似的标准。
  • 此外，随着5G技术的采用增加，感测器融合的范围进一步扩展到重型商用车和自动驾驶车辆，例如无人机和工业机器人。 5G将为汽车和交通运输业带来车联网（V2X）技术，随着MaaS（移动即服务）、智慧公车和机器人计程车等市场的成长，增加对感测器融合的需求。
  • 许多汽车製造商也开始了感测器融合开发计划，主要是为了利用竞争优势。例如，2022 年 5 月，灵活、稳健且准确的 ADAS 和 AD 感测技术提供者 LeddarTech 在特拉维夫开设了 LeddarTech 感测器融合和感知开发中心。
  • 然而，标准化是阻碍感测器融合系统发展的主要因素之一，缺乏特定的全球标准是该技术进一步发展和大规模采用的主要障碍。
  • 最近因 COVID-19 爆发而导致的全球汽车行业景气衰退不仅影响了研究市场的需求，而且鑑于大流行的后果，可能会对采用率产生中期影响。然而，从长远来看，电动和自动驾驶汽车的成长预计将支持市场成长。

感测器融合市场趋势

汽车领域日益增长的技术趋势正在推动市场成长

  • ADAS 的发展和 GPS-IMU（惯性测量单元）融合原理的广泛使用有助于解决绝对位置测量间隔内航位推算的累积误差。特斯拉的自动驾驶功能 Autopilot 是 ADAS 的一个范例，它使用从前向摄影机收集的资料来确定车辆的确切位置，并控制转向以保持车辆在高速公路上的车道中央行驶。
  • 主动车距控制巡航系统(ACC)、自动紧急煞车 (AEB) 和前方碰撞警报(FCW) 是受访市场中最有针对性的应用。例如，领先汽车製造商本田宣布计划于2022年在印度市场推出配备本田感测技术的城市混合动力车，该技术包括主动和被动安全功能。该公司表示，还将包括紧急煞车、主动车距控制巡航系统、车道偏离警报系统、车道偏离警报系统、车道维持辅助和正面碰撞警报系统等功能。
  • 对电动车的需求不断增长也有利于所研究市场的成长，因为这些车辆配备了更多感测器和先进功能。根据 IEA 估计，预计 2022 年销售的新车中约有 13% 是电动车。此外，根据ACEA提供的资料，2022年第一季欧洲纯电动车季度销量约562,280辆，2022年第二季约为560,270辆。
  • 此外，5G的出现预计将改变汽车产业的游戏规则。 5G 提供的高速连接和高覆盖密度预计将加速自动驾驶汽车的成长，为研究市场的成长创造有利的场景。

亚太地区预计将经历显着成长

  • 亚太地区是自动驾驶应用中感测器融合的领先地区之一。这是由于自动驾驶汽车的日益普及、更严格的政府法规以及全球半导体产业的主导地位日益增强。该地区还大力投资 5G，推动 C-V2X，进一步扩大自动驾驶、车联网 (V2X) 和 MaaS 市场等汽车应用。
  • 中国是全球最大的汽车製造地之一。该地区的经济成长正在影响乘用车和商用车的销售。例如，根据中国工业协会（CAAM）的数据，2022年4月，中国生产了约99.6万辆乘用车和21万辆商用车。
  • 中国在电动车和自动驾驶汽车的开发和部署方面也处于世界领先地位。例如，2022 年 12 月，中国汽车製造商百度和丰田汽车支持的新兴企业小马智行宣布，他们已获得在北京测试全自动驾驶汽车的第一张许可证。
  • 地方政府在市场开发中也扮演重要角色。例如，印度联邦道路交通部长宣布，该国计划在 2022 年之前在所有车辆上强製配备 ADAS。多家汽车製造商已经开始销售配备 ADAS 的车辆。例如，2023年1月，名爵汽车印度公司推出了搭载ADAS技术的新一代SUV Hector。据该公司称，这款SUV还将配备交通堵塞辅助系统（TJA）和自动转向指示灯等功能。这些趋势为亚太地区研究市场的成长创造了有利的前景。

感测器融合产业概况

感测器融合市场是细分的。这是一个竞争市场，有多个参与企业，但不存在主导的参与企业。然而，由于技术创新和发展，许多公司正在开拓新兴市场并增加市场占有率。主要市场参与企业包括罗伯特博世有限公司、英飞凌科技股份公司、恩智浦半导体和义法半导体。

  • 2023 年 1 月 - 汽车零件供应商采埃孚 (ZF) 宣布推出下一代摄影机「智慧摄影机 6」。新一代摄影机将各种感测器资料与影像处理模组 (IPM) 集成，以提供详细的 3D 3D 车辆视图以及复杂交通状况的识别和管理。该公司表示，这项技术将成为自动驾驶和安全系统开发的重要组成部分。
  • 2022 年 11 月 - STMicro 发布了其最新的 6 轴 IMU，融合了人工智慧和感测器融合功能。它描述了感测器融合模组和机器学习 (ML) 核心，旨在实现穿戴式装置和 AR/VR 等低功耗感测应用。

其他好处

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

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买家/消费者的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌对关係
  • 产业价值链分析
  • 技术简介
  • COVID-19 对市场的影响

第五章市场动态

  • 市场驱动因素
    • 汽车电子产品对小型化的需求不断成长
    • ADAS 系统和自动驾驶汽车的需求增加
  • 市场限制因素
    • 感测器融合系统缺乏标准化

第六章 主要市场趋势

  • 主要专利和研究活动
  • 主要和新兴应用
    • 主动车距控制巡航系统(ACC)
    • 自动紧急煞车（AEB）
    • 电子稳定控制系统（ESC）
    • 前方碰撞警报(FCW)
    • 其他的

第七章 市场区隔

  • 按车型
    • 客车
    • 轻型商用车（LCV）
    • 重型商用车（HCV）
    • 其他自动驾驶车辆
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东/非洲

第八章 竞争格局

  • 公司简介
    • Robert Bosch GmbH
    • Continental AG
    • Infineon Technologies AG
    • BASELABS GmbH
    • NXP Semiconductor
    • BASELABS GmbH
    • STMicroelectronics NV
    • Memsic Inc
    • Kionix Inc（Rohm Semiconductor）
    • TDK Corporation
    • CEVA Inc

第九章投资分析

第十章市场机会与未来趋势

简介目录
Product Code: 63871

The Sensor Fusion Market is expected to register a CAGR of 19.2% during the forecast period.

Sensor Fusion - Market - IMG1

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. The growing integration of autonomous features in automobiles is expected to drive the growth of the studied market during the forecast period.
  • According to the World Economic Forum (WEF), more than 12 million fully autonomous cars are expected to be sold annually by 2035, and autonomous vehicles will account for 25% of the global automotive market. Furthermore, according to Intel, a single autonomous vehicle can generate an average of 4 terabytes of data per day. Hence, sensor fusion solutions can play a significant role in utilizing this massive data in real time.
  • Stringent government regulations across the globe are also fuelling the demand for the studied market products. For instance, in Europe, Euro NCAP (European New Car Assessment Program) mandates the deployment of at least one driver assistance system. Countries like Japan and the United States are also adopting similar criteria in their national NCAP rules.
  • Furthermore, The rising adoption of 5G technology is further expanding the scope of sensor fusion towards heavy commercial vehicles and autonomous vehicles like drones and industrial robots. 5G will massively bring Vehicle-to-everything (V2X) technology to the automotive and transportation industry, increasing the demand for sensor fusion due to growth in the markets Mobility-as-a-Service (MaaS), smart bus, and robot taxis, among others.
  • Many automotive manufacturers are also initiating sensor fusion development programs, mainly to leverage competitive advantage. For instance, in May 2022, LeddarTech, a provider of flexible, robust, and accurate ADAS and AD sensing technology, opened LeddarTech's Sensor Fusion and Perception Development Center in Tel Aviv.
  • However, standardization is one of the major factors hindering the evolution of sensor fusion systems, as the absence of any specific global standard significantly hinders the further evolution and mass adoption of this technology.
  • The recent recession in the global automotive sector owing to the COVID-19 outbreak has not only affected the demand in the studied market but can have a mid-term impact on the adoption rate considering the after-effects of the pandemic. However, in the long term, the growth of electric and autonomous vehicles will support the studied market's growth.

Sensor Fusion Market Trends

Growing Technological Trends in Automotive Sector to Boost the Market Growth

  • The growing development in ADAS and increasing utilization of the principle of GPS-IMU (Inertial Measurement Unit) fusion is helping in solving 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 the vehicle's precise position from data collected from a forward-facing camera and controlling the steering.
  • Adaptive Cruise Control (ACC), Autonomous Emergency Braking (AEB), and Forward Collision Warning (FCW) are some of the most targeted applications in the studied market.For instance, Honda, the leading automobile manufacturer in 2022, announced their plans to launch the City Hybrid in the Indian market with Honda Sensing Tech, consisting of active and passive safety features. According to the company, it will also include features such as emergency braking, adaptive cruise control, lane departure warning system, which come with features like emergency braking, adaptive cruise control auto high beam assist, lane departure warning system, lane keep assist, and front collision warning system.
  • The growing demand for electric vehicles also favors the studied market's growth as these vehicles contain a higher number of sensors and advanced features. According to IEA estimates, about 13% of a new cars sold in 2022 were expected to be electric. Furthermore, according to data provided by ACEA, the quarterly sales of battery electric vehicles in Europe were about 562.28 and 560.27 thousand units in Q1 and Q2 2022, respectively.
  • Furthermore, the emergence of 5G is expected to be a game changer for the automobile industry as the fast connectivity, and higher coverage density offered by 5G will accelerate the growth of autonomous vehicles, creating a favorable scenario for the growth of the studied market.

Asia Pacific Region is Expected to Witness Significant Growth

  • The Asia Pacific is one of the major regions for sensor fusion in autonomous applications, owing to the growing adoption of autonomous vehicles, stringent government regulation, and increasing dominance in the global semiconductor industry. Also, the region's massive investment in 5G, along with promoting C-V2X, is further expanding the scope of automotive applications such as autonomous driving, the Vehicle-to-Everything (V2X), and the MaaS market.
  • China is one of the largest automotive manufacturing hubs in the world. The economic growth of the region has posed an impact on the sale of passenger cars and commercial vehicles. For instance, according to the China Association of Automobile Manufacturers (CAAM), in April 2022, about 996 thousand passenger vehicles and 210 thousand commercial vehicles were produced in China.
  • China also leads the world in electric and autonomous vehicle development and adoption. For instance, in December 2022, Baidu, a Chinese automobile manufacturer, and Pony.ai, a startup company backed by Toyota motors, announced that they were granted their first license to test fully autonomous vehicles in Beijing.
  • The regional government is also playing a significant role in market development. For instance, the Union Minister for Road and Highway Transport India announced that the country is planning to mandate ADAS in all cars by 2022. Several automobile manufacturers have already started to launch automobiles with ADAS. For instance, in January 2023, MG Motor India unveiled the next generation of SUVs, Hector, with ADAS technology. According to the company, the SUV will also include features such as Traffic Jam Assist (TJA) and auto turn indicators. Such trends are creating a favorable scenario for the studied market's growth in the Asia Pacific region.

Sensor Fusion Industry Overview

The sensor fusion market is fragmented. It is a highly competitive market with several players, and no dominant player is present. However, with innovation and developments, many companies are increasing their market presence by tapping new markets. Some key market players include Robert Bosch GmbH, Infineon Technologies AG, NXP Semiconductor, and STMicroelectronics NV.

  • January 2023 - Automotive supplier ZF presented its next camera generation with the Smart Camera 6. This new camera generation merges various sensor data in its Image Processing Module (IPM) to create a detailed 3D all-around vehicle view and the recognition and management of complex traffic situations. According to the company, this technology will be an important building block in developing automated driving and safety systems.
  • November 2022 - STMicro launched its latest 6-axis IMU with embedded AI and sensor fusion features. Aimed at enabling low-power sensing applications such as wearables and AR/VR, it serves up sensor fusion blocks and machine learning (ML) cores.

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 Force Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 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 Miniaturization in Automotive Electronics
    • 5.1.2 Increasing Demand for ADAS system and Autonomous Vehicle
  • 5.2 Market Restraints
    • 5.2.1 Absence of Standardization in Sensor Fusion System

6 KEY MARKET TRENDS

  • 6.1 Key Patents & 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 Type of Vehicles
    • 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 and Africa

8 COMPETITIVE LANDSCAPE

  • 8.1 Company Profiles
    • 8.1.1 Robert Bosch GmbH
    • 8.1.2 Continental AG
    • 8.1.3 Infineon Technologies AG
    • 8.1.4 BASELABS GmbH
    • 8.1.5 NXP Semiconductor
    • 8.1.6 BASELABS GmbH
    • 8.1.7 STMicroelectronics NV
    • 8.1.8 Memsic Inc
    • 8.1.9 Kionix Inc (Rohm Semiconductor)
    • 8.1.10 TDK Corporation
    • 8.1.11 CEVA Inc

9 INVESTMENT ANALYSIS

10 MARKET OPPORTUNITIES AND FUTURE TRENDS