LiDAR 2022 - Focus on Automotive and Industrial

ABAX, Aeva, AEye, AGC, ams OSRAM, Aptiv, Argo AI, ASC, Audi, Aurora Innovation, Ball Aerospace, Baraja, BEA, BEAMAGINE, Beijing Surestar Technology, Benchmark, Benewake, Blickfeld, BMW, Bosch, Bridger Photonics, Carnavicom, Celestica, Cepton Technologies, Continental, Cosworth, Delphi, Denso, Draper, Eblana Photonics, Eckhardt Optics, EOLOS, Epsiline, Excelitas Technologies, Fabrinet, Faro, Fastree3D, Finisar, First Sensor AG, Fujitsu, GeoSLAM, Guangshao Technology, Hamamatsu Photonics, Harman, Hesai Photonics Technologies, Hexagon AB, Hirain, Hitronics Technologies, Hokuyo Automatic, Huawei, Hybo, Hybrid LiDAR Systems, Hypersen Technologies, Hyundai, Hyundai Mobis, Ibeo Automotive Systems, II-VI, Imuzak, Infineon Technologies AG, INFOWORKS, Innoluce BV, Innoviz Technologies, Innovusion, Insight LiDAR, Iridian Spectral Technologies, Irvine Sensors, Jabil, Jaguar, Kaarta, Koito, Konica Minolta, Kyocera, Laser Components, LeddarTech, LeiShen Intelligent System, Leonardo, Leosphere, Lexus, Livox, Lumentum, Lumibird, Luminar Technologies, Lumotive, Magna, Marelli, Meller Optics, Mercedes-Benz, METEK Meteorologische Messtechnik GmbH, Micralyne, Micro Photon Devices, Microvision, Mirada Technologies, Mirrorcle Technologies, Mitsubishi Electric Corporation, NeoPhotonics, Neuvition, Nextcore, Nikon, Ocular Robotics, OEwaves, OLEI LiDAR, Ommatidia, Omron, ON Semiconductor, Ophir, Oplatek, Oqmented, Osram, OURS Technology, Ouster, Panasonic, Phoenix LiDAR Systems, Pioneer Smart Sensing Innovations Corporation, pmdtechnologies AG, Preciseley Microtechnology, Princeton Optronics, PSSI, Quanergy Systems, Quantel Laser, Quantum Semiconductor International (QSI), Redtail LiDAR, Renesas, Riegl, RoboSense, Sanmina, Scantinel Photonics, Sense Photonics, Sick AG, SiLC Technologies, STMicroelectronics, Teledyne Optech, TeraXion, TetraVue, Topcon, Trimble, Valeo, Velodyne LiDAR, Veoneer, Volvo, Waymo, Webasto, XenomatiX, Z+F Laser, ZF Friedrichshafen AG and more.

Key Features 

• LiDAR market volume and revenue 2019 - 2027
• Analysis of LiDAR technologies for automotive
• LiDAR applications for automotive and industrial applications
• Automotive LiDAR partnership and supply chain
• LiDAR market share, by application
• LiDAR technology analysis

What's new

• Updated forecasts
• New design wins for automotive LiDAR
• Financial analysis of public LiDAR companies
• The rise of Chinese LiDAR companies

Product objectives 

1. Give an overview of LiDAR for automotive and industrial applications
2. Provide a scenario for the LiDAR dynamics in automotive and industrial applications within the dynamics of the autonomous automotive market
3. Deliver an in-depth understanding of the ecosystem & players

Available on our Yole Group All-Inclusive Automotive Package

LiDAR automotive applications continue to grow

The LiDAR market for automotive and industrial applications is expected to reach $6.3B in 2027 from $2.1B in 2021, with a 22% compound annual growth rate (CAGR) between 2022 - 2027. The automotive application will be the major driver for this growth. The automotive LiDAR market for 2027 is expected to reach $2.0B, from $38M in 2021. A total of 55 design wins have been announced since 2018. Robotic car applications will also drive the LiDAR market, with an expected value of $698M in 2027, from $120M in 2021.

LiDAR growth will not be limited to automotive applications. Various projects for smart infrastructure are going on, including for intersection monitoring and security. The LiDAR market for smart infrastructure will reach $1.1B in 2027, from $108M in 2021. Furthermore, the automation of the logistic chain is also pulling the LiDAR market. The logistic LiDAR market will reach $344M in 2027, from $92M in 2021.

This comprehensive report covers market volume and value for applications in the automotive and industrial markets, including several technology splits.

The future of LiDAR technologies

The LiDAR landscape is characterized by various technologies, both for ranging and imaging. Different optical wavelengths are also used, included both in the near infrared (NIR) and the short-wave infrared (SWIR). However, in the future, LiDAR will surely focus on a few technologies, with the remaining ones being restricted to niche applications.

Semiconductors will play an important role in this process. Similar to Moore’s law, semiconductor light emitters and photodetectors double their performance every two years. A new wave of LiDAR technology is expected to rise in the coming 5 - 10 years, including flash LiDAR that relies solely on semiconductor devices.

This report presents a complete analysis of LiDAR technologies used for ranging and imaging, automotive integration, and components used for light emission and photodetection.

The rise of the Chinese LiDAR ecosystem

Today’s LiDAR landscape for automotive and industrial applications is dominated by large corporations dedicated to topography and factory applications. These include Trimble (USA), Hexagon AB (Sweden), Sick AG (Germany), and Topcon (Japan).

New LiDAR applications in industrial and automotive applications have seen the rise of new players, including from China. Of the 55 design wins for automotive announced since 2018, half are from China and include the following LiDAR manufacturers: Hesai, RoboSense, Huawei, and Livox. China has not only developed high-quality LiDAR technology and LiDAR factories, but also a complete ecosystem including semiconductor components, software, and integrators.

This report presents the LiDAR ecosystem and market share for the numerous automotive and industrial LiDAR applications.

Glossary

Table of contents

Report’s objectives

Scope of the report

Methodologies & definition

About the authors

Companies cited

What we got right, what we got wrong

Who should be interested in this report?

3-page summary

Executive summary

Context

Market forecasts

• Automotive market
• Robotaxi market
• Industrial market

Market trends

• Automotive applications
• Industrial applications
• Defense & aerospace applications

Market share and supply chain

• Market share
• M&A and investments
• Partnerships and supply chain
• Chinese landscape

Technology trends

• Components
• Products
• Integration in ADAS vehicles
• Novel technologies
• Technology roadmaps

Technology, process and cost report

Outlook

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