Artificial Intelligence in Transportation Market Size, Share, By Offering (Software, Hardware, and Others), Technology (Machine Learning, Computer Vision, Natural Language Processing, Deep Learning, and Others), Application (Traffic Management, Autonomous Vehicles, Truck Platooning, Predictive Maintenance, HMI, and Others), End-User (Automotive, Transportation, Industrial Automation & Manufacturing, Logistics & Supply Chain, E-commerce and Retail, and Others) Region - Trends, Analysis, and Forecast till 2035

By region, the artificial intelligence in transportation market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. 

North America: Due to the region's strong economic growth, rising demand for driverless cars, and intelligent infrastructure, North America now holds a leading position in the AI transportation market. Smart infrastructure, which makes mobility easier and more efficient, and traffic management technologies are two of their main growth drivers.  As real-time traffic monitoring and predictive maintenance have increased the overall safety and transportation efficiency, the automotive and commercial sectors have increased their investments in artificial intelligence (AI) in transportation.   

Asia Pacific: Certain growing factors, such as technological advancement in autonomous vehicles, implementing smart city infrastructure projects, logistics optimization, the Asia-Pacific region has seen the rapid growth in current market for AI in transportation. Major countries such as South Korea, China and Japan are currently leading in Asia-Pacific region regarding AI technology inclination for transportation. The development and implementation of autonomous vehicles, better logistics, lower transportation costs, the introduction of safety-equipped government regulations, investments in cutting-edge technologies by organizations that are boosting AI in the region's transportation market, and smart city initiatives are some of the major growth drivers.

Europe: Compared to the other regions, Europe has seen a significant growth in adopting AI in transportation. This technological growth has been assisted by factors such as General AI strategies and regulations which support integration of technology and transport sector and enable applications such as autonomous and semi-autonomous domains and Mobility as a Service (MaaS) to further push the agenda of efficient and safer transport facilities. Furthermore, the EU has a plan and programs, such as the Strategic Transport Research and Innovation Agenda (STRIA) and the Digital Europe Program (DIGITAL) to advance the goals of smart and sustainable mobility in the transportation industry.