市场调查报告书
商品编码
1276712
汽车 LiDAR 传感器全球市场规模.份额.行业趋势分析报告:按类型.技术.车辆类型.图像类型.应用.地区分类的展望和预测,2023-2029 年Global Automotive LiDAR Sensors Market Size, Share & Industry Trends Analysis Report By Type, By Technology (Solid-state, and Electro-mechanical), By Vehicle Type, By Image Type, By Application, By Regional Outlook and Forecast, 2023 - 2029 |
到 2029 年,汽车 LiDAR 传感器市场规模预计将达到 53 亿美元,在预测期内以 32.1% 的复合年增长率增长。
随着自动驾驶汽车越来越受欢迎,安全和事故预防的重要性也越来越高,汽车 LiDAR 传感器的市场正在迅速扩大。 此外,市场参与者之间不断增加的创新,例如将传感器技术集成到 LiDAR 点云中,以及通过特征提取和聚类更有效地感知障碍物,将有利于汽车 LiDAR 传感器市场在预测期内的增长,有望带来机遇。
COVID-19 影响分析
COVID-19 疫情将政府资金转移到医疗保健领域,这对汽车 LiDAR 传感器项目市场产生了重大影响。 因此,新项目的建立速度放缓。 然而,随着全球封锁限制的解除和大规模疫苗接种计划的实施,汽车雷射雷达传感器市场出现復苏迹象。 因此,车用雷射雷达传感器市场在经历了疫情初期销量的大幅下滑后,有望呈现正增长态势。
市场增长因素
自动驾驶汽车技术进步
多家 LiDAR 传感器公司致力于通过将所有组件集成到一个芯片中来製造价格合理的 LiDAR 传感器。 其中一些公司由政府机构资助。 此外,许多风险投资者对为自动驾驶汽车开发具有成本效益和改进的 LiDAR 传感器的初创企业感兴趣。 因此,根据其他汽车技术的趋势,LiDAR 传感器的成本有望逐渐下降。 因此,不断的技术进步将扩大对汽车雷射雷达传感器等车辆传感器的需求和利用,推动市场增长。
车祸发生率增加
交通事故伤害会对个人及其家庭的经济状况产生重大影响。 与治疗伤害相关的成本很高,死亡和残疾会降低生产力。 此外,交通事故对业务的影响也很大。 道路交通事故对每个国家的经济都有巨大的影响,据说每年损失国内生产总值的3%。 安装在汽车上的 LiDAR 传感器可以帮助预测辅助碰撞,甚至可以利用各种其他 ADAS 系统来控制车辆,因此其使用量将猛增,为市场创造增长机会。
市场製约因素
由于 LiDAR 传感器的高成本,采用率下降
汽车雷射雷达目前被认为是困难且昂贵的。 设备的巨大尺寸.复杂性和成本阻碍了汽车 LiDAR 传感器的商业化。 因此,将这些 LiDAR 集成到自动驾驶系统中有望减少潜在客户群并提高自动驾驶系统的价格。 儘管由于技术进步,雷射雷达有望变得更便宜,但目前系统的高成本阻碍了它的采用,并限制了汽车雷射雷达传感器的市场增长。
按类型划分的前景
汽车 LiDAR 传感器市场按类型分为飞行时间 (ToF) 和调频连续波 (FMCW)。 飞行时间 (ToF) 细分市场在 2022 年的收入份额最大的汽车 LiDAR 传感器市场占据主导地位。 这是因为飞行时间是一种非常活跃的3D成像和扫描技术。 与结构光和立体视觉相比,飞行时间 (ToF) 技术可为 3D 成像提供速度.可靠性和能效。 由于其成本效益,ToF 技术有望看到对 3D 成像和扫描的需求增加。
技术展望
汽车 LiDAR 传感器市场按技术分为固态和机电。 2022 年,机电部分在汽车 LiDAR 传感器市场中占据了相当大的收入份额。 这是因为机电式雷射雷达是汽车行业常用的一种雷射雷达系统。 这些通常被称为第一代雷射雷达传感器。 雷射雷达系统的传感器利用多个移动部件来生成雷射束阵列并将其发射到目标区域。
按图像类型的观点
按图像类型,汽车 LiDAR 传感器市场分为 2D 和 3D。 到 2022 年,3D 细分市场在汽车 LiDAR 传感器市场中占据显着的收入份额。 这是因为 3D 技术服务于多种行业,包括商用车.汽车.建筑.农业.采矿.基础设施检测.无人机交付等。 3D 图像类型允许无缝像素对齐,不会丢失数据。 它还具有高垂直和水平分辨率,并共同存储强度和范围以获得最佳性能。
车型展望
汽车 LiDAR 传感器市场按车型细分为内燃机汽车.混合动力汽车和纯电动汽车。 在 2022 年的汽车 LiDAR 传感器市场中,电池电动部分取得了可观的增长速度。 这是因为电动汽车自动驾驶技术代表了短期.中期和长期交通的未来。 正在创建新的应用程序以实现特定用途,例如公共交通或货物交付。 准确识别和分类车辆周围的物体对于预测路径和加强安全措施至关重要。
使用展望
按应用,汽车 LiDAR 传感器市场分为半自动驾驶汽车和自动驾驶汽车。 半自动驾驶汽车领域将在 2022 年占据最大的收入份额,推动汽车 LiDAR 传感器市场。 这是因为在半自动驾驶车辆中,辅助人员保留对车辆操作的主要责任,同时得到 LiDAR 等各种 ADAS 功能的协助。 基于 LiDAR 的功能可以通过在转向和控制车辆时提供预警和额外支持来加强安全措施,从而降低碰撞和事故的可能性。
区域展望
按地区划分,对北美.欧洲.亚太地区和 LAMEA 的汽车 LiDAR 传感器市场进行了分析。 到 2022 年,北美地区将占据汽车 LiDAR 传感器市场的最高收入份额。 这种增长是由于自动驾驶汽车交付对 LiDAR 传感器的需求不断增长。 此外,政府致力于实现净零排放将推动对电动汽车的需求,预计这将在预测期内刺激该地区的市场增长。
The Global Automotive LiDAR Sensors Market size is expected to reach $5.3 billion by 2029, rising at a market growth of 32.1% CAGR during the forecast period.
Light Detection and Ranging is known as LiDAR, and in the automotive sector, most vehicles employ it to navigate areas in real-time. Sonar and LiDAR are similar to each other. In order to comprehend its surroundings, it fires pulsed laser waves in all directions. It measures the depth of an item using laser rays. Any object within a 60-meter radius can be checked for proximity using this device. In order to navigate the environment, it may make a 3D map of the area.
This characteristic is crucial for driverless vehicles. LiDAR technology has significant advantages for Level 3 (semi-autonomous) and Level 4 (autonomous) vehicle automation. The majority of automakers engaged in autonomous car development employ LiDAR technology. LiDAR provides autonomous vehicles with the ability to "see" by producing and analyzing millions of data points in real time, creating a precise map of the continuously shifting environment around the vehicle for secure navigation.
As autonomous vehicles acquire popularity and grow more and more critical for safety and accident prevention, the market for automotive LiDAR sensors is growing swiftly. Additionally, a rise in market players' innovations-such as the integration of sensor technology into LiDAR point clouds via feature extraction and clustering to sense the barriers more effectively-is anticipated to open up lucrative opportunities for the growth of the automotive LiDAR sensors market throughout the projected period.
COVID-19 Impact Analysis
The COVID-19 pandemic has caused a diversion of government funding towards the healthcare sector, which has significantly impacted the market for automotive LiDAR sensor projects. As a result, the establishment of new projects has slowed down. However, The automotive LiDAR sensors market has shown signs of recovery following the lifting of lockdown restrictions and the implementation of large-scale vaccination programs globally. Therefore, it is expected that the market for automotive LiDAR sensors will experience a positive growth trend after facing a sharp reduction in sales during the starting phase of the pandemic.
Market Growth Factors
The advancements in autonomous vehicle technology
Several LiDAR sensor companies are dedicated to creating affordable LiDAR sensors by integrating all components onto a single chip. Some of these companies have received funding from government agencies. In addition, numerous venture investors are showing interest in startups developing cost-effective and improved LiDAR sensors for self-driving cars. As a result, the cost of LiDAR sensors is expected to decrease gradually, based on the trend observed in other automotive technologies. Hence, due to the constant technological advancement, the wider need and utilization of vehicle sensors like automotive LiDAR sensors will propel the market growth.
The increasing incidence of automobile collisions
Road traffic injuries can substantially impact the financial well-being of individuals and their families. The expenses associated with treating injuries can be significant, and fatalities or disabilities can decrease productivity. Furthermore, there is also a significant impact on business resulting from these injuries. Road traffic injuries significantly impact nations' economies, resulting in a loss of 3% of their yearly gross domestic product. As LiDAR sensors in vehicles can aid the driver in detecting collision beforehand and, furthermore, get the vehicle under control with the utilization of various other ADAS systems, their utilization is expected to surge and thereby provide growth opportunities for the market.
Market Restraining Factors
The high cost of the LiDAR sensors decreasing their adoption
Automotive LiDARs are thought to be difficult and expensive at the moment. The massive size, complexity, and expense of the devices hamper the commercialization of automobile LiDAR sensors. Due to this, the pool of potential customers is anticipated to shrink as a result of the integration of these LiDARs into an autonomous system, which will increase the sticker price of the autonomous system. Even though LiDAR is anticipated to become less expensive as technology advances, the high cost of the system is currently preventing its adoption and limiting the market growth for automotive LiDAR sensors.
Type Outlook
Based on type, the automotive LiDAR sensors market is segmented into time of flight (ToF) and frequency-modulated-continuous-wave (FMCW). The time of flight (ToF) segment dominated the automotive LiDAR sensors market with maximum revenue share in 2022. This is due to the fact that time of flight is a 3D imaging and scanning technology that is highly active. Time-of-Flight (ToF) technology offers superior speed, reliability, and energy efficiency for 3D imaging compared to structured light and stereo vision. Due to its cost-effectiveness, ToF technology is anticipated to experience an increase in requests for 3D imaging and scanning purposes.
Technology Outlook
On the basis of technology, the automotive LiDAR sensors market is divided into solid-state and electro-mechanical. The electro-mechanical segment procured a substantial revenue share in the automotive LiDAR sensors market in 2022. This is because electro-mechanical LIDARs are a type of LIDAR system that is commonly used in the automotive industry. They are often referred to as first-generation LIDAR sensors. The LIDAR system sensors utilize multiple moving parts to generate and discharge an array of laser beams toward the target region.
Image Type Outlook
By image type, the automotive LiDAR sensors market is classified into 2 dimensional and 3 dimensional. The 3 dimensional segment garnered a prominent revenue share in the automotive LiDAR sensors market in 2022. This is because 3D technology caters to various industries such as commercial vehicles, automotive, construction, agriculture, mining, infrastructure inspection, UAV delivery, and more. The 3D image type allows a seamless pixel alignment with no missing data. They offer a high vertical and horizontal resolution with co-registered intensity and range for optimal performance.
Vehicle Type Outlook
Based on the vehicle type, the automotive LiDAR sensors market is bifurcated into internal combustion engine (ICE), hybrid and battery electric. The battery electric segment recorded a promising growth rate in the automotive LiDAR sensors market in 2022. This is owing to the fact that autonomous vehicle technology in electric vehicles represents the future of transportation in the short, medium, and long term. Novel applications are being created to enable public transportation, delivery of goods, and other specific applications. Accurately identifying and categorizing objects within the vehicle's surroundings is crucial for predicting paths and enhancing safety measures.
Application Outlook
On the basis of application, the automotive LiDAR sensors market is divided into semi-autonomous vehicles and autonomous vehicles. The semi-autonomous vehicles segment led the automotive LiDAR sensors market by generating the maximum revenue share in 2022. This is because, in semi-autonomous vehicles, the driver retains the primary responsibility of operating the vehicle while being assisted by a range of ADAS features such as LiDAR. LiDAR-based features can enhance safety measures by offering early warnings and additional support in steering or controlling vehicles, thereby reducing the likelihood of crashes and accidents.
Regional Outlook
Region-wise, the automotive LiDAR sensors market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region generated the highest revenue share in the automotive LiDAR sensors market in 2022. The growth is attributed to the rising need for LiDAR sensors in autonomous vehicle delivery. Furthermore, the government's focus on achieving net zero emissions is expected to drive the demand for electric vehicles, thereby fueling market growth in the region during the forecasted period.
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Texas Instruments, Inc. is the forerunner in the Automotive LiDAR Sensors Market. Companies such as Robert Bosch GmbH, LeddarTech Inc., and Continental AG are some of the key innovators in Automotive LiDAR Sensors Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Robert Bosch GmbH, Continental AG, Denso Corporation, Ouster, Inc., HELLA GmbH & Co. KGaA, First Sensor AG (TE Connectivity Ltd.), Texas Instruments, Inc., KUBOTA Corporation, Quanergy Systems, Inc. and LeddarTech Inc.
Recent Strategies Deployed in Automotive LiDAR Sensors Market
Product Launches and Expansions:
Jan-2023: Quanergy Systems, Inc. launched its new LiDAR-based mantrap physical security solution. This 3D solution is for the market which is hyper-accurate and not easy to defeat. It would help to overcome the tailgating problems faced by mantraps.
Aug-2022: Quanergy Systems Inc. released its new product named M1 Edge PoE LiDAR sensor, based on M1 Edge technology. This sensor is appropriate for any environment where threats come from small or from places that are hard to reach, it has alerting capabilities and allows smart awareness for applications that need simple object detection.
May-2022: LeddarTech launched its new product named LeddarSteer, which is designed for tier 1-2 automotive suppliers & LiDAR smart sensor developers. It helps them by providing them with multiple LiDAR applications, Automotive-grade solid-state technology, and software-control on-the-fly adjustment.
Jan-2022: LeddarTech released its new LeddarEcho™ LiDAR Simulation Software in collaboration with dSPACE, a leading provider of validation and simulation solutions. This software has been released for Tier-1 sensor and perception system developers. It provides an automotive front LiDAR sensor model for hardware-in-the-loop (HiL) & software-in-the-loop (SiL) applications by using dSPACE's sensor-realistic simulator AURELION, which emulates the LiDAR sensor's operation.
Nov-2021: Continental AG launched its new LiDAR sensor named HFL110 solid-state 3D Flash LiDAR sensor. Released as a Series Production Product (SOP), this new automotive-grade short sensor with 3D Global Shutter would initiate Continental's next generation of high-resolution automotive-grade LiDAR sensors in series production and would also enhance the company's Automated Driving (AD), environmental sensor portfolio.
Nov-2021: Quanergy Systems, Inc. released its new M1 Edge™ 2D LiDAR sensors which are paired with Quanergy's QORTEX Aware™ perception software. These IP67-resistant sensors lower the cost of ownership and perform reliably in any harsh weather condition, providing a mean time between failure up to 60000 hours. These new M1 Edge™ 2D LiDAR sensors use M1 Edge integrated hardware & software solutions that automatically interpret, analyze and collect LIDAR point cloud data.
Apr-2021: LeddarTech released its new product named Leddar™ Sight, which is a 2D solid-state LiDAR sensor. The sensor is robust, cost-effective, comes with various FoV options, with rapidly integrating features, and is available in volumes to customers, resellers, and system integrators, with all these properties & features it delivers us a precise detection along with measurement capabilities for indoor & outdoor applications like collision avoidance, autonomous driving, etc.
Partnerships, Collaborations and Agreements:
Jan-2023: Continental AG entered into a partnership with Ambarella, Inc., a company engaged in the business of designing semiconductors. This partnership aimed to develop end-to-end hardware & software solutions using Artificial Intelligence (AI) which would be scalable and used for assisted and automated driving (AD).
Jan-2023: DENSO entered into a partnership with AMD, an American company engaged in designing and developing computer processors and graphics technologies. This partnership would help DENSO in developing its next-generation lidar platform with the help using of AMD's multi-processor SoC, which is highly scalable, performance-oriented, and programmable silicon. This silicon will help in complex image processing in DENSO's lidar sensor architecture.
Sep-2022: Quanergy Systems, Inc. entered into a partnership with Fabrinet, a company engaged in advanced precision optical and electronic manufacturing services. This partnership would enable Quanergy Systems, Inc. to deliver more efficiency to customers and expand its global manufacturing by using Fabrinet's global supply chain, reliability testing, and in-house failure analysis.
Jan-2021: DENSO entered into a partnership with Aeva, a provider of lidar technology solutions. Both companies would work together to advance Frequency Modulated Continuous Wave (FMCW) LiDAR, a solution that measures depth, reflectivity, and velocity and provides it to the vehicle market. This all would help to develop advanced perception and sensing systems.
Acquisitions and Mergers:
Apr-2022: Bosch took over a British company named Five AI, which develops autonomous vehicle software. This acquisition would help Bosch to enhance its software development for safe automated driving by supporting the company's data from its fleet which would further help in creating advanced testing conditions or scenarios.
Geographical Expansions:
Jun-2021: Velodyne Lidar, Inc expanded its geographic footprint with the launch of its new India Design Center in Bangalore. This new center will further work with Velodyne's San Jose, Calif.-based engineering team to build customer-focused solutions which will strengthen velodyne's growth strategy to drive continuous innovation in lidar sensor and software solutions.
Market Segments covered in the Report:
By Type
By Technology
By Vehicle Type
By Image Type
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures