Key technology areas to leverage for service provider solutions include AI, 5G, and IoT


DUBLIN, March 25, 2022 /PRNewswire/ — The report “Autonomous Vehicle Market by Level of Autonomy, Powertrain Type, Components and Supporting Technologies including 5G, AI and Edge Computing 2022 – 2027” has been added to from offer.

Research and Markets Logo

This report assesses the Autonomous Vehicles market, including key vendors, strategies, product and service offerings.

The report rates autonomous vehicles by level of autonomy, type of powertrain, components and supporting technologies. It also assesses the impact of key technologies in the autonomous vehicle markets such as 5G, AI, edge computing, IoT, data analytics and smart building integration.

The report provides global and regional forecasts for the Autonomous Vehicles Market, including hardware, software and services, and emerging technologies from 2021 to 2026. The report covers major consumer and commercial categories, including personal vehicles, shared vehicles (carpooling and shared vehicles/partial ownership). ) and rentals. The report also assesses autonomous control in ICE vehicles, electric vehicles and ICE/EV hybrids.

Disruption by autonomous vehicles of the automotive industry ecosystem

Autonomous vehicles are poised to invoke a revolution in the automotive industry, including public transportation systems, car rental and sharing systems, vehicle rental and ownership, industrial transportation and practices and auto insurance systems.

The magnitude of the disturbance will increase with the degree of autonomy of the vehicle, which is measured in levels ranging from zero (fully human operated) to five (fully automated system) with the evolution of levels 1 to 4 consisting of an autopilot system combined with some level of human control or intervention capability. Autonomous vehicles are expected to become the basis of transportation as a service globally.

The automotive ecosystem is also facing disruption from electric vehicles (EVs), which have transformed the economics of the supply chain at the vehicle component level as well as consumer perception of value and cycle management. of life. Improved battery cost/performance and reduced cost of powertrain components for electric vehicles will result in lower overall purchase cost that is more comparable to internal combustion engine (ICE) vehicles traditional.

The autonomous vehicle ecosystem will also be very disruptive to the consumer segment with respect to the traditional production and sales cycle. Much of this will be due to the vast amount of data produced by self-driving cars, vans and trucks. The use of AI and big data analytics will enable both real-time decision making and post-event analysis.

Autonomous Vehicle Growth Drivers and Constraints

The autonomous vehicle market will grow rapidly during the 2020s and will transform many industries, including consumer mobility, commercial transportation, industrial automation, smart cities, and transportation systems as a whole. Many factors will drive the growth and adoption of autonomous vehicles, including cost reductions, safety improvements, and incremental advances in consumer perception.

For example, the United States Department of Transportation has moved forward with a comprehensive plan on automated vehicles with the goal of establishing policies and regulations to ensure the safe and complete integration of automated driving systems into the transportation system. of surface. The plan includes concrete examples of how policies and regulations will relate to emerging applications of automated driving systems.

United States is not alone in wanting a robust autonomous vehicle market. China and South Korea are two leading companies in the Asia Pacific Region. For example, South Korea invested $1 billion in autonomous vehicle technology with a focus on technology and infrastructure development. Companies such as Hyundai and Samsung allow South Korea to more seamlessly implement vehicles with autonomous capabilities. South Korea aims to achieve commercialization of Level 4 autonomous vehicles by 2027.

In addition to overcoming public trust factors in safety, the autonomous vehicle market also focuses on key consumer benefits of autonomous vehicles, which include less expensive transportation, carpooling and co-ownership opportunities, and ultimately a reduction in outright rental and ownership of cars, vans and trucks. This is expected to have a major impact on OEMs and traditional automakers, despite market-leading automakers actively pursuing autonomous vehicle product offerings.

The juxtaposition of fully autonomous vehicles, connected drivers and passengers

Paradoxically, car manufacturers are also constantly improving their fleets to offer more connected vehicles, which provide drivers with a significantly safer, more enjoyable and more informative driving experience. However, autonomous vehicles are also connected through IoT technologies and various broadband and narrowband wireless solutions.

In the near future, the publisher predicts auto vendors will offer human occupants next-generation connected vehicle applications in autonomous vehicles that capitalize on hands-free operation and, in some cases, offer fully immersive experiences for longer journeys.

Autonomous vehicles for commercial fleets and other commercial operations

The evolution of autonomous vehicles for the fleet market will move from human-controlled fleets to machine/human-controlled fleets to fully autonomous (e.g., machine-driven) vehicles that leverage various technologies including sensors , AI, cognitive computing, geolocation, GIS. /mapping, and more. Eventually, the market will reach level 4 autonomy, which is similar to level 3, but the human behind the wheel is considered a “passenger” rather than a “driver”.

Market-leading autonomous vehicle use cases will be found primarily in business, with a focus on maritime and commercial fleets. Heavy trucking, which refers to the transport of oversized or overweight goods equipped with specialized trailers and the transport of heavy equipment, is important in this segment.

Select report results:

  • Key technology areas to leverage for service provider solutions include AI, 5G, and IoT

  • Spending on 5G-related software in support of autonomous vehicle solutions will reach $13.2 billion by 2027

  • State-of-the-art IT infrastructure and services in support of autonomous vehicles will reach $42.8 billion by 2027

  • A dedicated infrastructure for autonomous vehicles will serve as a testing ground for the economic justification of carpooling autonomous vehicles and other green technology solutions

  • Smart city market growth and innovation will be highly correlated with funding, R&D and developments in autonomous and connected vehicle technology

  • Driven by private and sovereign investments, some countries outside United States will experience surprisingly robust growth in self-driving vehicle deployments

Autonomous Systems Technology and Market Analysis

  • Autonomous vehicle technology

  • Intelligent transport and ADAS systems

  • artificial intelligence software

  • Vehicle security systems

  • Vehicle infotainment systems

  • Vehicle as a service and ride sharing services

  • Big Data Analytics and Simulation in Support of Autonomous Ecosystem

  • Usage-Based Auto Insurance

  • Opportunities and deployments in smart cities

  • Role of blockchain and cloud computing

  • Electric vehicle charging and smart building integration

  • Autonomous vehicle value chain

  • Human interactions with autonomous vehicles

  • Government regulations

  • Impact analysis of autonomous vehicles

  • Automotive Industry Strategic Partnerships

Autonomous vehicle ecosystem analysis

  • AImotive

  • Alibaba (SAIC Motors)

  • Alphabet Inc. (Waymo)

  • Inc.

  • Apple Inc.


  • Robotic Tree

  • Audi SA

  • Dawn

  • Autoliv inc.

  • Autotalks Ltd.

  • Baidu Inc. (NIO)

  • Beijing Trunk Tech Co. Ltd.

  • Blackberry QNX

  • BMW AG

  • Cisco System Inc.

  • brandy

  • wireless cohda

  • Comsignia

  • Continental SA

  • Cruise LLC

  • DAF trucks

  • Daimler AG (Mercedes Benz)

  • deep vision

  • Deep map

  • deep scale

  • DENSO Corporation

  • Didi Chuxing Technology Co.Ltd.

  • Fiat Chrysler Automobiles

  • Ford Motor Company

  • General Motors

  • GrabTaxi Holdings Pte. ltd.

  • PSA Group

  • Renault group

  • Hitachi

  • Honda Motor Company Ltd.

  • Huawei Technology Co.Ltd.

  • hyundai

  • Idriverplus

  • Innoviz Technologies

  • Innovation

  • Intel Corporation (Mobileye)


  • JaguarLand Rover

  • LeddarTech

  • Lyft Inc.

  • Magna International Inc.

  • Meta-wave

  • Microsoft Corporation

  • Powerful AI

  • Mitsubishi Motors Corporation

  • Nikola Company

  • Nissan Motor Corporation

  • Noro

  • NVIDIA Corporation

  • NXP Semiconductors AG


  • Panasonic Company

  • Porsche AG

  • prophesied

  • Robert Bosch GmbH

  • Robotics

  • Samsung Electronics Co.Ltd.

  • Scania AB

  • Telefonaktiebolaget LM Ericsson

  • Tencent

  • Tesla Inc.

  • Toshiba

  • Toyota Motor Corporation

  • Uber Technologies Inc.

  • Valeo

  • Velodyne Lidar, Inc.

  • Visteon

  • Volkswagen SA

  • Volvo Car Corporation

  • Travel

  • We drive

  • Zenitude

  • ZF Friedrichshafen

  • Zhejiang Geely Holding Group

For more information about this report visit

Media Contact:

Research and Markets
Laura Woodsenior
[email protected]

For EST office hours, call +1-917-300-0470
For USA/CAN call toll free +1-800-526-8630
For GMT office hours call +353-1-416-8900

US Fax: 646-607-1904
Fax (outside the US): +353-1-481-1716



View original content: – include-ai-5g-and-iot-301510726.html

SOURCE Research and Markets


About Author

Comments are closed.