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市場調査レポート
商品コード
1276712
自動車用LiDARセンサーの世界市場規模、シェア、産業動向分析レポート:タイプ別、技術別、車種別、画像タイプ別、用途別、地域別展望と予測、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 |
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自動車用LiDARセンサーの世界市場規模、シェア、産業動向分析レポート:タイプ別、技術別、車種別、画像タイプ別、用途別、地域別展望と予測、2023~2029年 |
出版日: 2023年04月28日
発行: KBV Research
ページ情報: 英文 294 Pages
納期: 即納可能
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自動車用LiDARセンサー市場規模は2029年までに53億米ドルに達すると予測され、予測期間中にCAGR32.1%の市場成長率で上昇すると予想されています。
自律走行車が普及し、安全性や事故防止への重要性が増すにつれ、自動車用LiDARセンサーの市場は急速に拡大しています。また、LiDAR点群にセンサー技術を統合し、特徴抽出やクラスタリングによってより効果的に障害物を感知するなど、市場関係者のイノベーションの高まりが、予測期間を通じて自動車用LiDARセンサー市場の成長に有利な機会をもたらすと予測されます。
COVID-19の影響分析
COVID-19の流行により、政府の資金がヘルスケア分野に流用され、自動車用LiDARセンサープロジェクト市場に大きな影響を与えました。その結果、新規プロジェクトの設立が鈍化しています。しかし、自動車用LiDARセンサー市場は、世界の閉鎖規制の解除や大規模なワクチン接種プログラムの実施により、回復の兆しを見せています。このため、自動車用LiDARセンサー市場は、パンデミックの初期段階で急激な売上減少に直面した後、プラス成長傾向を示すと予想されます。
市場成長要因
自律走行車技術の進歩
複数のLiDARセンサー企業が、すべてのコンポーネントを1つのチップに統合することで、手頃な価格のLiDARセンサーを作ることに専念しています。これらの企業の中には、政府機関から資金提供を受けているところもあります。さらに、多数のベンチャー投資家が、自動運転車用の費用対効果の高い改良型LiDARセンサーを開発する新興企業に関心を示しています。その結果、LiDARセンサーのコストは、他の自動車技術で見られる動向に基づき、徐々に低下していくと予想されます。したがって、絶え間ない技術進歩により、自動車用LiDARセンサーのような車両センサーのニーズと利用が広まり、市場成長を促進することになります。
自動車衝突事故の発生率の増加
交通事故による怪我は、個人とその家族の経済的な幸福に大きな影響を与える可能性があります。傷害の治療に伴う出費は大きく、死亡事故や障害によって生産性が低下する可能性があります。さらに、交通事故によるビジネスへの影響も大きいです。道路交通事故は各国の経済に大きな影響を与え、年間国内総生産の3%が失われると言われています。自動車に搭載されたLiDARセンサーは、 促進要因の衝突予知を支援し、さらに他の様々なADASシステムを利用して車両を制御することができるため、その利用は急増し、市場に成長機会をもたらすと予想されます。
市場抑制要因
LiDARセンサーの高コストによる採用の減少
自動車用LiDARは、現時点では困難で高価なものと考えられています。デバイスの巨大なサイズ、複雑さ、費用が、自動車用LiDARセンサーの商業化を妨げています。このため、これらのLiDARを自律走行システムに組み込むと、潜在的な顧客層が減少し、自律走行システムの価格が上昇すると予想されます。LiDARは技術の進歩により安価になることが予想されますが、システムのコストが高いため、現在のところその導入が妨げられ、自動車用LiDARセンサーの市場成長を制限しています。
タイプ別展望
自動車用LiDARセンサー市場は、タイプ別に飛行時間型(ToF)と周波数変調連続波型(FMCW)に分類されます。飛行時間(ToF)セグメントは、2022年に最大収益シェアで自動車用LiDARセンサー市場を独占しました。これは、飛行時間が3Dイメージングおよびスキャン技術であり、非常に活発であることに起因しています。飛行時間型(ToF)技術は、構造化光やステレオビジョンと比較して、3Dイメージングの速度、信頼性、エネルギー効率に優れています。その費用対効果の高さから、ToF技術は3Dイメージングやスキャンを目的とした依頼が増加すると予想されます。
技術の展望
自動車用LiDARセンサー市場は、技術別にソリッドステートとエレクトロメカニカルに分類されます。2022年の自動車用LiDARセンサー市場では、エレクトロメカニカルセグメントがかなりの収益シェアを調達しました。これは、エレクトロメカニカルLIDARが、自動車産業で一般的に使用されているLIDARシステムの一種であるためです。これらはしばしば第一世代のLIDARセンサーと呼ばれます。LIDARシステムのセンサーは、複数の可動部品を利用して、ターゲット領域に向けてレーザービームのアレイを生成・放電します。
画像タイプ別展望
画像タイプ別に見ると、自動車用LiDARセンサー市場は、2次元と3次元に分類されます。2022年の自動車用LiDARセンサー市場では、3次元セグメントが突出した収益シェアを獲得しています。これは、3D技術が商用車、自動車、建設、農業、鉱業、インフラ検査、UAV配送など、さまざまな産業に対応しているためです。3D画像タイプは、データの欠落がなく、シームレスなピクセルアライメントを可能にします。また、垂直方向と水平方向の解像度が高く、強度と範囲を共記憶しているため、最適なパフォーマンスを発揮します。
車種別展望
自動車用LiDARセンサー市場は、車種別に内燃機関車、ハイブリッド車、バッテリー電気自動車に分類されます。2022年の自動車用LiDARセンサー市場では、バッテリーエレクトリック分野が有望な成長率を記録しました。これは、電気自動車の自律走行技術が短期、中期、長期の輸送の未来を表しているという事実に起因しています。公共交通機関や商品の配送など、特定の用途を実現するための斬新なアプリケーションが生み出されています。車両の周囲にある物体を正確に識別・分類することは、進路の予測や安全対策の強化に不可欠です。
用途の展望
用途別に見ると、自動車用LiDARセンサー市場は、半自律走行車と自律走行車に分けられます。半自律走行車セグメントは、2022年に最大の収益シェアを獲得し、自動車用LiDARセンサー市場を牽引しました。これは、半自律走行車では、 促進要因が車両操作の主な責任を保持しながら、LiDARなどのさまざまなADAS機能によって支援されるためです。LiDARベースの機能は、早期警告や車両の操縦や制御における追加サポートを提供することで安全対策を強化し、それによって衝突や事故の可能性を低減することができます。
地域別展望
地域別に見ると、自動車用LiDARセンサー市場は、北米、欧州、アジア太平洋、LAMEAで分析されています。北米地域は、2022年の自動車用LiDARセンサー市場において最も高い収益シェアを獲得しました。この成長は、自律走行車の配送におけるLiDARセンサーのニーズが高まっていることに起因しています。さらに、政府がネットゼロエミッションの達成に注力していることから、電気自動車の需要が高まり、予測期間中の同地域の市場成長に拍車がかかると予想されます。
List of Figures
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
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