DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Global Automotive LiDAR Market, Analysis & Forecast - 2017 to 2026 (Focus on Different LiDAR Type and Technology Level)" report to their offering.
Market value for automotive LiDAR for the year 2016 was estimated to be $65 million.
The global automotive LiDAR market is at an initial development stage, however, is expected to experience an exponential growth rate in the future due to increase in number of automated vehicles, superior performance of LiDARs in comparison to other sensors and rising concerns for improving road safety. The high growth potential of automotive LiDAR market is attracting several industry players to strengthen their market positions through strategies such as mergers & acquisitions and collaborations and agreements, among others.
LiDARs find widespread usage in different levels of automation, the different level of vehicle automation include level 2 (partial automation), level 3 (conditional automation), level 4 (high automation) and level 5 (fully autonomous). For lower levels of automation single LiDAR is integrated in the automated system, in the other hand due to greater amount of data required in high end automation levels multiple LiDARs are integrated in vehicles.
Key Topics Covered:
1 Research Scope & Methodology
2 Market Dynamics
3 Competitive Landscape
4 Global Automotive LiDAR Market Analysis and Forecast
5 Global Automotive LiDAR Market by LiDAR Type
6 Global Automotive LiDAR Market by Technology Level
7 Global Automotive LiDAR Vehicle Market by Geography
8 Company Profiles
- Benewake Co., Ltd.
- Continental AG
- Garmin Ltd.
- GeoDigital International Inc.
- IBEO Automotive Systems GmBH
- Innoviz Technologies
- Osram Licht AG
- Phantom Intelligence Inc.
- Princeton Lightwave Inc.
- Quanergy Systems Inc.
- SensL Technologies Ltd
- Sensata Technologies, Inc.
- TriLumina, Corp.
- Velodyne Lidar
For more information about this report visit http://www.researchandmarkets.com/research/hsdsmk/global_automotive