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Artificial Intelligence In Transportation Market: Segmented By Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP): By Application (Semi & Full-Autonomous, HMI, Platooning): By Offering (Hardware, Software): By Process (Signal Recognition, Object Recognition and Data Mining) Global Analysis by Market size, share & trends for 2020-2021 and forecasts to 2031
Artificial Intelligence In Transportation Market to surpass USD 29.389 billion by 2031 from USD 1950.14 billion in 2021 at a CAGR of 25.36% within the coming years, i.e., 2021-31.
Artificial Intelligence In Transportation can collect traffic information to reduce congestion and improve the preparation of public transport. Transport is influenced by traffic flow. AI will enable updated traffic patterns. Smarter traffic light procedures & real-time tracking can regulate higher and lower traffic patterns successfully. This can be applied to public transport for ideal development & routing. Artificial Intelligence is used in forecast & discovery of traffic accidents and conditions by changing traffic radars into intelligent agents using cameras, it is used in resolving switch & optimization problems, Autonomous Trucks have been started all over the world in current times Autonomous trucks will save expenses, lower emissions, and advance road safety as compared to traditional trucks with human drivers.
The rapid use of AI and machine learning technology for device innovation such as self-driving cars, parking, and lane-change assists, and smart energy systems are extremely driving the AI in transportation market. Furthermore, the rising need for advanced transportation planning, data management, driver behavior, traffic signaling, and so on are soaring the growth of the market. These significant features are, therefore, fueling the growth of AI in transportation market during the forecast period.
In July 2020, Microsoft China broadcast strategic partnership with Human Horizons, an innovative mobility company for cooperatively developing an on-board AI assistant, HiPhiGo, for Human Horizons’ premium smart all-electric vehicles, HiPhi.
Artificial Intelligence In Transportation can collect traffic information to reduce congestion and improve the preparation of public transport. Transport is influenced by traffic flow. AI will enable updated traffic patterns. Smarter traffic light procedures & real-time tracking can regulate higher and lower traffic patterns successfully. This can be applied to public transport for ideal development & routing. Artificial Intelligence is used in forecast & discovery of traffic accidents and conditions by changing traffic radars into intelligent agents using cameras, it is used in resolving switch & optimization problems, Autonomous Trucks have been started all over the world in current times Autonomous trucks will save expenses, lower emissions, and advance road safety as compared to traditional trucks with human drivers.
Artificial Intelligence in Transportation Market by Applications is segmented into Semi & Full-Autonomous, HMI, Platooning, and others. The market size of the Platooning segment is anticipated to grow at the highest CAGR during the forecast period. The rising environmental alarms, increasing fuel efficiency, stringent government regulations for emission, and concerns of traffic congestion have enhanced the growth of the truck platooning market. According to the Intelligent Transport Systems for Commercial Vehicles study by Ertico, platooning can reduce CO2 discharges by up to 16% from the trailing vehicles and up to 8% from the lead vehicle, as the trucks drive closer together at a constant speed, with less rushing and braking.
Development of autonomous vehicle
The development of autonomous vehicles is a major factor in the growth of artificial intelligence in the transportation market. AI is new technology for autonomous driving systems because it is the only technology that allows reliable, real-time credit of objects around the vehicle. Currently, there are important investments to come in the automotive industry, mainly for the optimization of autonomous driving technology.
Growth of Traffic Management
Most of the countries are using advanced technologies for vigorous traffic management that include the sensors, devices and cameras joined everywhere on the road. These devices transmit vast amount of data about the traffic details that involves improved analysis. Thus, the data collected is sent to the cloud where data is analyzed and exposed with the help of an AI-powered system. Thus, the growing need to analyze and forecast the data collected through improved traffic management will further drive the AI in transportation market.
Expensive bandwidth to power system
Artificial Intelligence-based systems are cloud-based, requiring expensive bandwidth to power the system. Moreover, it is a new technological solution that requires better training and skills, which integrated into high costs. These important challenges result in high operating costs for AI when used in transportation costs. Additionally, AI-powered machines include a variety of individual processors, relays, and other components that requires maintenance from time to time. All these factors hinder the market growth.
Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the world with the WHO declaring it a public health emergency. The global impacts of the coronavirus disease 2019 are already starting to be felt, and will significantly affect the Artificial Intelligence in the Transportation market in 2021. The outbreak of COVID-19 has brought effects on many features, like aircraft terminations; travel bans and quarantines; restaurants, cafes closed; all outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market instability; dropping business confidence, building panic among the population, and doubt about future.
Continental AG
Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis
Artificial Intelligence In Transportation Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East, and Africa. North America is estimated to contribute the largest share of the Artificial Intelligence In Transportation Market during the forecast period. Moreover, a large number of players functioning in this region also influence to drive growth of the market in North America. Asia Pacific also holds a major share of the global market. The market in the region is also projected to register the highest CAGR during the forecast period.
By Machine Learning
| Report Attribute | Details |
| Market size value in 2021 | USD 3.066 billion |
| Revenue forecast in 2031 | USD 29.389 billion |
| Growth Rate | CAGR of 25.36% from 2021 to 2031 |
| Base year for estimation | 2021 |
| Quantitative units | Revenue in USD million and CAGR from 2021 to 2031 |
| Report coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments covered | Machine Learning, Application, Offering, Process and End-user |
| Region scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa (MEA) |
| Key companies profiled |
Robert Bosch GmbH, NVIDIA Corporation, Microsoft Corporation, Volvo Group, Daimler AG, Scania Groups MAN SEPACCAR Inc., ZF Friedrichshafen AG, Valeo SA, Intel Corporation, Alphabet Inc. |
The global Artificial Intelligence In Transportation Market size was estimated at USD 1950.14 billion in 2021 and is expected to reach USD 29.389 billion by 2031.
Key players: Robert Bosch GmbH, NVIDIA Corporation, Microsoft Corporation, Volvo Group, Daimler AG, Scania Groups MAN SEPACCAR Inc., ZF Friedrichshafen AG, Valeo SA, Intel Corporation, Alphabet Inc., and other prominent players.
Deep Learning segment & Platooning Segment are anticipated to hold the largest Artificial Intelligence In Transportation Market.
Drivers: Development of autonomous vehicle and Growth of Traffic Management
Artificial Intelligence In Transportation can collect traffic information to reduce congestion and improve the preparation of public transport. Transport is influenced by traffic flow. AI will enable updated traffic patterns. Smarter traffic light procedures & real-time tracking can regulate higher and lower traffic patterns successfully.
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