LiDAR for Cars and Light Trucks: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

SKU ID : WGR- 12990241

Publishing Date : 29-Aug-2017

No. of pages : 566

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  • Worldwide markets are poised to achieve significant growth as LiDAR sensors for cars and light trucks permit users to implement automated driving. Fleet vehicles from Uber, Google and similar users are likely to be the early adopter groups, creating vehicles that do package delivery and ride sharing. Tesla, Mercedes, and Audi are among the vendors with a leadership position in the personal luxury vehicle artificial intelligence LiDAR car markets. These cars provide performance and cater to individual preference in feature function packages and styling.

    LIDAR stands for light detection and ranging which is remote sensing. LIDAR does not require electromagnetic radiation but it requires laser pulses that strike the object and return back to the sensor. The laser pulse measures the distance from the sensor to the object by determining the time between the release to reception of the reflected pulse.

    3D scanning market and imaging are expected to propel growth. Major technological developments include emergence of optically extended MEMS scanning mirror for low-altitude and light weight flying platforms. Long term reliability of number of key laser components drive the LiDAR market. Key components include optical coatings, optics, and diodes in vacuum and radiation environment of space.

    Every car maker seeks to participate in this Artificial Intelligence (AI) personal vehicle market leveraging LiDAR. The ability to do so depends on implementing next generation technology that is very expensive to get working. Vendors ae seeking to work together to set standards and develop shared modules that provide basic functionality. Cameras, sensors, artificial intelligence software, and LiDAR are among the modules being developed.

    Autonomous vehicle technology has the potential to institute major change in personal mobility. Autonomous cars are the next generation of manual cars, poised to provide thrust for a large replacement market. Autonomous vehicles are the base for building personal car services, particularly in large cities. Carmakers and Silicon Valley companies bring different skills to the task of building a Artificial Intelligence (AI) car. LiDAR is a significant sensor that supports autonomous operations. Autonomous vehicles transform the personal transport industry.

    Every person who owns a vehicle has a preference on performance. The Tesla has gained recognition for offering a Artificial Intelligence (AI) vehicle, but it is first and foremost a performance vehicle. This characteristic will not change as Artificial Intelligence (AI) vehicles come on the market. People like the customization of features and functions in their car.

    This customization aspect of vehicles does not get talked about much, but it is a very important part of the industry. It will not go away just because cars are run by software. From auto racing to personal preference, ever car has its own personality and its own comfort. Performance is part of the package. Every car maker seeks to participate in this Artificial Intelligence (AI) personal vehicle market with a distinctive offering. The ability to have unique appear to customers depends on implementing next generation technology in a manner that works effectively and is relatively inexpensive to implement.

    As automated process leveraging LiDAR hits the auto industry as a disruptive force, it parallels the automated piloting of the airline industry that saw significant labor savings implementation. Automated vehicle driving can be done anywhere just by connecting the car to integrated adaptive cruise control, adaptive steering and braking, and lane assist systems all working off one central processor.

    Artificial Intelligence (AI) cars and light trucks incrementally add automated process to driving leveraging the LiDAR sensor. As software is added to cars and light trucks it is done in concert with modification to the steering, breaking, and other automotive systems. Autonomous functions for vehicles are increasingly adopted.

    Change is incremental, we do not have fully functioning LiDAR navigated Artificial Intelligence (AI) cars immediately, rather, steering, collision avoidance, parking, test driving, series of camera and radar based monitoring systems, lane assist, and adaptive cruise control are being implemented, presaging rapid adoption of Artificial Intelligence (AI) cars and light trucks as the various functions mature and work in the real world.

    According to Susan Eustis, team leader for the preparation of the study, “The market for LiDAR for cars and light truck vehicles is anticipated to expand in parallel with the deployment of appropriate roadway controls funded by government programs. The large public investments for Artificial Intelligence (AI) vehicles so far has been for development of technology that works for military purposes. The extension of this type of automated system to commercial fleet vehicles will be rapid after 2019.”

    The Artificial Intelligence (AI) car designs amalgamate a group of features to represent an automated process solution. These include the hardware, the software middleware, the steering system, adaptive cruise control, numerous software applications, an integrated systems approach, and related services. Significant investments in research and development are necessary as the emerging Artificial Intelligence (AI) cars and light trucks industry builds on incremental technology roll outs.

    LiDAR for autonomous autos and small trucks /SUVs market at $13 million in 2016 is expected to reach $9.9 billion by 2023. This is in the context of a $3 trillion market for the autonomous vehicles. LiDAR represents one sensor in the autonomous navigation system. It is used to give more reliability than is available from cameras and other sensors and it compliments those capabilities. Spectacular growth is a result of various moves toward autonomous vehicles that can go across the US by themselves, provide automated navigation,, integrated braking and steering. Most auto vendors have gone beyond the testing stage to offer vehicles that have strong navigation capability.

    Safety modules are complimented by mapping vehicles that provide navigation. The Tesla and other vehicles provide driver alerts but fall sort of complete Artificial Intelligence (AI).

    Market driving forces relate primarily to the need for increased safety and personalization for autos. Car manufacturers are positioning with LiDAR sensors for cars to meet demand at the high end, and in every category of car and light truck. Many Artificial Intelligence (AI) vehicle car vendors are making automation for personal vehicles and light trucks a reality.

    Companies Profiled

    Market Leaders

    Pioneer
    Valeo
    Continental
    Velodyne
    3DEO
    MIT Lincoln Lab

    Market Participants

    3d Laser Mapping Specialists, Airborne Lidar And Imagery
    Avent Lidar Technology
    AImotive
    Alphabet, Waymo: Google
    Google / Intel Target Driverless Cars with LiDAR
    Waymo Deal with Fiat Chrysler Automobiles
    Alps Electric
    Argo AI
    Autoliv
    Beijing Beike Technology Co., Ltd (isurestar) (China)
    BMW
    Bosch Group
    Continental
    Daimler AG/Mercedes-Benz
    Delphi Automotive
    Denso
    DigitalWorld Mapping
    Eaton
    ECA LiDAR
    Faro Technologies
    Firmatek Llc
    Fiat Chrysler
    Ford
    Ford Argo AI Artificial Intelligence Company
    General Motors
    GM Investment in Lyft
    Geniarp Group
    Geniarp Group / Mosaic 3d
    Geophysical Survey Systems, Inc. (GSSI)
    GMR Group / Geokno India Pvt. Ltd. (India)
    Harris
    Here
    Honda
    Hyundai
    Infineon Technologies AG
    Intel Corporation
    Intel Buys Mobileye
    Intermap Technologies
    Knorr-Bremse Group
    Mesa LiDAR
    MIT Lincoln Lab
    MIT Agreement with Geophysical Survey Systems, Inc. (GSSI)
    Mitsubishi
    Nissan
    NVIDIA
    NXP
    Pix4D
    Pioneer
    Qualcomm
    Quantum Spatial
    (Aerometric, Inc.) (U.S.)
    Renishaw Plc
    Riegl Laser Measurement Systems GmbH (Austria)
    Riegl USA
    Scanese
    Siemens and Infineon LiDAR
    Softbank
    Softbank Arm
    Softbank Personal Brain “IBM Watson”
    Tesla
    Toyota / Lexus
    Uber
    Valeo
    Valeo Acquisition of FTE
    Vecna Technologies
    Velodyne LIDAR Sensor
    Volkswagen
    Porsche SE
    Volkswagen / Audi
    Volvo
    Visteon
    YellowScan (France)
    ZF
    ZTE

    Key Topics

    Auto Artificial Intelligence
    Automotive
    Automated driving
    Automated vehicles
    Autonomous vehicles
    in-vehicle compute, Infiniti, Internet of things
    AI machine learning
    Mobileye
    Robot Cars and Trucks
    Robot steering
    Robot braking
    Robot automotive systems
    Autonomous functions for vehicles
    Collision avoidance
    Automated parking
    Robot Parking
    Robot test driving
    Car cameras
    Car LiDAR
    Car radar
    Truck follow me systems
    Radar based monitoring systems
    Lane assist
    Adaptive cruise control

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