Artificial Intelligence in Transportation Market 2027: New Innovative Solutions to Boost Global Growth with New Technology and Key Players: Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft

Growing demand for safety & security and increasing focus toward reducing the operating cost of transportation have triggered the growth of the artificial intelligence market for transportation. The increasing government regulations for vehicle safety, growing adoption of advanced driver assistance systems (ADAS), and development of autonomous vehicles play a significant role in the growth of this market.

The ecosystem of the Artificial Intelligence in Transportation market consists of Tier I suppliers and software/service providers such as Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft

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Deep learning technology is estimated to be the largest and fastest growing segment of the Artificial Intelligence in Transportation market, by machine learning technology. The deep learning technology is widely used in the development of autonomous vehicles, which need to see, think, drive, and learn. The last step is “learn,” where deep learning will be critical for achieving fully autonomous vehicles.

Autonomous trucks are projected to be the fastest growing segment of the Artificial Intelligence in Transportation market, by application. Autonomous trucks are the major target for the application of artificial intelligence technology. Up until now, AI technology research was focusing on traffic and navigation system, but now the focus has shifted to make fully autonomous trucks. Many manufacturers such as Volvo, Scania, and Daimler are developing and testing fully autonomous trucks.
Truck platooning is projected to be the next emerging segment for the Artificial Intelligence in Transportation market. Artificial intelligence technologies such as sensor fusion, signal recognition, forward collision warning, and lane keep assist are the key drivers for truck platooning. The growing environmental concerns, increasing fuel efficiency, stringent government regulations for emission, and concerns of traffic congestion have accelerated the growth of the truck platooning market.

North America is estimated to be the largest market for Artificial Intelligence in Transportation, in terms of value. Trucks are the major contributor to the transportation sector of North America. The regulatory developments such as Compliance, Safety, and Accountability (CSA) and Hours of Service Solution (HOS) revisions are expected to drive the growth of the transportation industry in the region. Hence, the artificial intelligence transportation market is expected to see substantial growth. Also, the strong financial position of the region allows these countries to invest heavily in leading technologies in the field of Artificial Intelligence.

The research methodology used in the report involves primary and secondary sources and follows a top-down approach for data triangulation. The study involves the study of country-level regulations related to autonomous driving and analysis of different applications considered for Artificial Intelligence in Transportation (autonomous trucks, HMI in trucks, and semi-autonomous trucks). This analysis involves historical trends as well as existing penetrations by country as well as application. The analysis is projected based on various factors such as government regulations, key developments, public acceptance, level of automation in that country, and adoption rate by OEMs.

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The analysis has been discussed and validated by primary respondents, which include experts from the Artificial Intelligence in Transportation industry, AI professionals & consultants, and software & hardware suppliers. Secondary sources include associations such as Association for the Advancement of Artificial Intelligence (AAAI), European Coordinating Committee for Artificial Intelligence (ECCAI), artificial intelligence software & hardware suppliers’ websites and annual reports, and paid databases and directories such as Factiva and Bloomberg.

Objectives of the Artificial Intelligence in Transportation Market Report
• To define, segment, and forecast the Artificial Intelligence in Transportation market (2017–2030), in terms of value (USD million)
• To define, describe, and project the market, by application (autonomous trucks, HMI in trucks, and semi-autonomous trucks) at country level
• To define, describe, and project the Artificial Intelligence in Transportation market, by offering, by process, and by machine learning technology in regions, namely, Asia Oceania, Europe, North America, and the Rest of the World (RoW)
• To define, describe, and project the truck platooning market for artificial intelligence, in terms of volume (‘000 units) and value (USD million)
• To provide a detailed analysis of various forces acting in the market (drivers, restraints, opportunities, and challenges)

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