Automotive LiDAR Market Forecast To 2024 | Continental, Audi, BMW, Nissan, Mercedes-Benz, Tesla, Volvo, Leddertech, Quanergy, Velodyne, Luminar Technologies, Innoviz Technologies, Aptiv, Magna, Uber, ZF Group, Trilumia, Oryx Vision

Automotive LiDAR Market is expected to exceed 3 million units with a market size of over USD 3 billion by 2024. The automotive LiDAR market is propelled by increasing R&D activities for the development of autonomous vehicles. Technology giants and automakers, such as Google and GM, are working toward developing their own autonomous solutions for self-driving vehicles. Supportive government initiative and policies have further fostered the growth of the market.

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Industry Growth drivers:

1. Increasiong R&D activities for autonomous vehicles
2. Growing supply demand gap
3. Supportive governemnt initiatives and policies
4. Entry of new players in the LiDAR market
5. Rising investment in AutoTech

The mechanical LiDAR holds the majority share in the automotive LiDAR market. This growth is attributed to the widespread adoption of the technology in various advanced driver assistance system applications. The solid-state LiDAR technology has gained a lot of popularity due to its inexpensive nature and higher performance with regards to the traditional LiDAR sensors. The automakers are currently working on solid-state technology, which is expected to be commercialized by 2020.

Company profiled in this report based on Business overview, Financial data, Product landscape, Strategic outlook & SWOT analysis:

1. Argo
2. Benewake
3. Cepton
4. Continential
5. AEye
6. Hesai
7. IFM
8. Innoviz Technologies
9. LeiShen Intelligent System
10. Luminar
11. Ocular Robotics
12. Omron
13. Oryx
14. Ouster
15. Panasonic
16. Quanergy
17. Robosense
18. Sense Photonics
19. Strobe
20. Sure Star
21. Sure Star
22. Valeo
23. Velodyne
24. Xenomatix

Automotive LiDAR Market By Type

o Mechanical
o Solid-State

Automotive LiDAR Market By Vehicle
o Semi-autonomous
o Autonomous

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There has been an abrupt growth in the demand for LiDAR sensors in the automotive industry. The customers have to wait for extended durations due to the presence of a limited number of suppliers. Therefore, the existing suppliers are building production facilities to meet the growing demand for automotive LiDAR sensors. In addition, the increasing supply-demand gap has attracted new players to the market. Conventional automotive suppliers are forming partnerships or making strategic investments in the existing LiDAR suppliers to access their technology.

The high cost associated with the existing LiDAR technology has been a major factor decelerating the growth of the automotive LiDAR sensors. The technology is currently prohibitively expensive for mass production. The Solid-State LiDAR suppliers understand the need to develop low-cost, affordable LiDAR sensors for its wider adoption. They are collaborating with automakers and technology companies to reduce the prices of the LiDAR systems.

The semi-autonomous vehicle market accounted for over 40% of the total revenue in the automotive LiDAR market in 2017. The market is driven by the increasing number of automotive safety regulations across the globe. For instance, the National Highway Traffic Safety Administration (NHTSA) of the U.S. has mandated all the vehicles to be equipped with advanced driver assistance systems by 2020. This has led the automakers to incorporate various advanced driver assistance systems in their automobile. The autonomous vehicle market is anticipated to grow at a CAGR of over 35% over the forecast timeline. The LIDAR sensors allow a self-driving vehicle to generate a 3D model of its surroundings using light pulses to measure the precise distance of the objects within its vicinity.

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North America is dominating the automotive LiDAR market and accounts for over 70% of the total market. This growth can be attributed to the presence of a large number of automakers and tech giants. They have adopted various strategic initiatives to advance the automotive LIDAR technology. For instance, in 2017, LeddarTech, a provider of autonomous LiDAR solutions, partnered with Delphi, a developer of autonomous driving technology, to develop cost-effective automotive LiDAR solutions. Furthermore, the presence of a comprehensive regulatory framework has allowed various automakers to conduct tests of autonomous vehicles on public roads and freeways.

Europe’s automotive LIDAR market will grow at a CAGR of over 60% during the projected timeline. The autonomous industry in the region will grow at a very high pace due to its well-maintained transportation infrastructure and supportive government policies. For instance, in 2015, the Government of the Netherlands established a regulatory framework, which allowed the testing of autonomous vehicles on public roads. In addition, there has been a growth in the number of public-private partnerships, which is further accelerating the growth of the autonomous industry in the country.

The companies operating in the automotive LiDAR market are LeddarTech, Continental, Luminar Technologies, Aptiv, Uber, Blackmore Sensors and Analytics, Trilumia, ZF, Magna, Innoviz Technologies, Oryx Vision, BMW, Nissan, Mercedes-Benz, Volvo, RoboSense, Audi, Velodyne, and Quanergy. There has been a significant growth in the number of start-ups working on self-driving technology. These tech giants and auto manufacturers are facing a stiff competition from start-ups which are looking to capitalize on various opportunities.

The companies in the market are adopting inorganic growth strategies and conducting R&D initiatives to increase their market share. For instance, RoboSense is conducting research to develop low-cost automotive LiDAR solutions for level 4 and level 5 autonomous vehicles. The company is currently developing solid-state LiDAR solutions to eliminate the mechanical rotation of the existing LiDAR technology while improving the resolution, size, controllability, and system stability. Similarly, in 2016, Mobileye and Nissan collaborated to integrate Mobileye's Road Experience Management (REM) technology into Nissan?s semi-autonomous vehicles.

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