市場調查報告書
商品編碼
1276712
汽車 LiDAR 傳感器全球市場規模.份額.行業趨勢分析報告:按類型.技術.車輛類型.圖像類型.應用.地區分類的展望和預測,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,汽車 LiDAR 傳感器市場規模預計將達到 53 億美元,在預測期內以 32.1% 的複合年增長率增長。
隨著自動駕駛汽車越來越受歡迎,安全和事故預防的重要性也越來越高,汽車 LiDAR 傳感器的市場正在迅速擴大。 此外,市場參與者之間不斷增加的創新,例如將傳感器技術集成到 LiDAR 點雲中,以及通過特徵提取和聚類更有效地感知障礙物,將有利於汽車 LiDAR 傳感器市場在預測期內的增長,有望帶來機遇。
COVID-19 影響分析
COVID-19 疫情將政府資金轉移到醫療保健領域,這對汽車 LiDAR 傳感器項目市場產生了重大影響。 因此,新項目的建立速度放緩。 然而,隨著全球封鎖限制的解除和大規模疫苗接種計劃的實施,汽車雷射雷達傳感器市場出現復甦跡象。 因此,車用雷射雷達傳感器市場在經歷了疫情初期銷量的大幅下滑後,有望呈現正增長態勢。
市場增長因素
自動駕駛汽車技術進步
多家 LiDAR 傳感器公司致力於通過將所有組件集成到一個芯片中來製造價格合理的 LiDAR 傳感器。 其中一些公司由政府機構資助。 此外,許多風險投資者對為自動駕駛汽車開發具有成本效益和改進的 LiDAR 傳感器的初創企業感興趣。 因此,根據其他汽車技術的趨勢,LiDAR 傳感器的成本有望逐漸下降。 因此,不斷的技術進步將擴大對汽車雷射雷達傳感器等車輛傳感器的需求和利用,推動市場增長。
車禍發生率增加
交通事故傷害會對個人及其家庭的經濟狀況產生重大影響。 與治療傷害相關的成本很高,死亡和殘疾會降低生產力。 此外,交通事故對業務的影響也很大。 道路交通事故對每個國家的經濟都有巨大的影響,據說每年損失國內生產總值的3%。 安裝在汽車上的 LiDAR 傳感器可以幫助預測輔助碰撞,甚至可以利用各種其他 ADAS 系統來控制車輛,因此其使用量將猛增,為市場創造增長機會。
市場製約因素
由於 LiDAR 傳感器的高成本,採用率下降
汽車雷射雷達目前被認為是困難且昂貴的。 設備的巨大尺寸.複雜性和成本阻礙了汽車 LiDAR 傳感器的商業化。 因此,將這些 LiDAR 集成到自動駕駛系統中有望減少潛在客戶群並提高自動駕駛系統的價格。 儘管由於技術進步,雷射雷達有望變得更便宜,但目前系統的高成本阻礙了它的採用,並限制了汽車雷射雷達傳感器的市場增長。
按類型劃分的前景
汽車 LiDAR 傳感器市場按類型分為飛行時間 (ToF) 和調頻連續波 (FMCW)。 飛行時間 (ToF) 細分市場在 2022 年的收入份額最大的汽車 LiDAR 傳感器市場佔據主導地位。 這是因為飛行時間是一種非常活躍的3D成像和掃描技術。 與結構光和立體視覺相比,飛行時間 (ToF) 技術可為 3D 成像提供速度.可靠性和能效。 由於其成本效益,ToF 技術有望看到對 3D 成像和掃描的需求增加。
技術展望
汽車 LiDAR 傳感器市場按技術分為固態和機電。 2022 年,機電部分在汽車 LiDAR 傳感器市場中佔據了相當大的收入份額。 這是因為機電式雷射雷達是汽車行業常用的一種雷射雷達系統。 這些通常被稱為第一代雷射雷達傳感器。 雷射雷達系統的傳感器利用多個移動部件來生成雷射束陣列並將其發射到目標區域。
按圖像類型的觀點
按圖像類型,汽車 LiDAR 傳感器市場分為 2D 和 3D。 到 2022 年,3D 細分市場在汽車 LiDAR 傳感器市場中佔據顯著的收入份額。 這是因為 3D 技術服務於多種行業,包括商用車.汽車.建築.農業.採礦.基礎設施檢測.無人機交付等。 3D 圖像類型允許無縫像素對齊,不會丟失數據。 它還具有高垂直和水平分辨率,並共同存儲強度和範圍以獲得最佳性能。
車型展望
汽車 LiDAR 傳感器市場按車型細分為內燃機汽車.混合動力汽車和純電動汽車。 在 2022 年的汽車 LiDAR 傳感器市場中,電池電動部分取得了可觀的增長速度。 這是因為電動汽車自動駕駛技術代表了短期.中期和長期交通的未來。 正在創建新的應用程序以實現特定用途,例如公共交通或貨物交付。 準確識別和分類車輛周圍的物體對於預測路徑和加強安全措施至關重要。
使用展望
按應用,汽車 LiDAR 傳感器市場分為半自動駕駛汽車和自動駕駛汽車。 半自動駕駛汽車領域將在 2022 年佔據最大的收入份額,推動汽車 LiDAR 傳感器市場。 這是因為在半自動駕駛車輛中,輔助人員保留對車輛操作的主要責任,同時得到 LiDAR 等各種 ADAS 功能的協助。 基於 LiDAR 的功能可以通過在轉向和控制車輛時提供預警和額外支持來加強安全措施,從而降低碰撞和事故的可能性。
區域展望
按地區劃分,對北美.歐洲.亞太地區和 LAMEA 的汽車 LiDAR 傳感器市場進行了分析。 到 2022 年,北美地區將佔據汽車 LiDAR 傳感器市場的最高收入份額。 這種增長是由於自動駕駛汽車交付對 LiDAR 傳感器的需求不斷增長。 此外,政府致力於實現淨零排放將推動對電動汽車的需求,預計這將在預測期內刺激該地區的市場增長。
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