Wednesday, 9 January 2019

Artificial Intelligence (AI) Cars and Light Trucks Market to 2017 - 2023: AMD, Apple, BMW, Bosch, Daimler AG / Mercedes-Benz, Ford, Fuji, GM, Google, Hyundai, IBM, Intel / Mobileye, Kairos, Nissan, NVIDIA, NXP, Qualcomm, Samsung

Researchmoz added Most up-to-date research on "Artificial Intelligence (AI) Cars and Light Trucks Market Size, Shares - Industry Trends, Strategies, and Forecasts, Worldwide, 2017 to 2023" to its huge collection of research reports.

As of now, every automobile company is looking to incorporate artificial intelligence in their cars for achieving heightened levels of automation. Automobile companies are striving to achieve driverless cars by making use of artificial intelligence, boosting the market for AI in cars and light trucks. The installation of AI-based systems in new cars and light trucks is increasing steadily from the past few years. All big companies are investing extensively in the research and development for achieving different levels of automation for autonomous driving by making use of artificial intelligence and sensor technologies. The use of AI and sensors help in detecting and avoiding obstacles. The demand for artificial intelligence in cars and light trucks is increasing as it helps to avoid collision, prevent accidents, lane assistance, and parking assistance. The growing disposable income of the people and thus, their increased spending or budget on luxury items is an important factor driving auto makers to develop cars that have enhanced automated features.

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The 2017 study has 826 pages, 290 tables and figures.  Worldwide markets are poised to achieve significant growth as Artificial Intelligence (AI) 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 (AI) car markets.  These cars provide performance and cater to individual preference in feature function packages and styling.

Every car maker seeks to participate in this Artificial Intelligence (AI) personal vehicle market.  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.  Together they are finding common ground to transform the personal vehicle industry.  One thing they are unlikely to transform is performance.

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 Artificial Intelligence (AI) 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.

Apple, IBM, and Google are sure to be among the significant software vendors for all the Artificial Intelligence (AI) car and light truck market participants.  IBM has a huge head start with its excellent middleware branded integrated solutions that are hardened and reliable.  Google has mindshare and early market success with its early market trials.

As automated process 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.  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 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 Artificial Intelligence (AI) car 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. 

Artificial Intelligence (AI) car and light truck commercial market shipments forecasts indicate that markets beginning to develop in 2016 will rise to $3.6 trillion by 2023.  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.

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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 Artificial Intelligence (AI) car models 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

    Daimler AG / Mercedes-Benz
    Intel / Mobileye
    Tesla Group
    Texas Instruments (TI)
    Volkswagen / Audi

Market Participants

    BAE Systems
    Boston Dynamics
    Bosch Group
    Buick Group
    Chrysler / Dodge
    Daimler AG/Mercedes-Benz
    ECA Robotics
    Elbit Systems
    Evatran Group
    Ford / Lincoln
    Fuji Heavy Industries / Subaru
    General Dynamics
    Google Artificial Intelligence (AI) Car
    GM / Cadillac
    Jaguar Land Rover
    Lockheed Martin
    Mesa Robotics
    Toyota / Lexus
    Vecna Technologies
    Volkswagen / Porsche

Key Topics

    Auto Artificial Intelligence
    Automated driving
    Automated vehicles
    Autonomous vehicles
    in-vehicle compute, Infiniti, Internet of things
    AI machine learning
    Robot Cars and Trucks
    Robot steering

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    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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