Artificial Intelligence in Transportation Global Market Report 2024

Artificial intelligence in transportation involves the application of AI to process and predict data for travel and transportation operations, with the aim of improving efficiency. This includes the collection of traffic patterns, the minimization of road congestion, and the enhancement of public transportation schedules. Through these processes, AI contributes to optimizing logistics and reducing turnaround time.

The primary offerings in artificial intelligence in transportation are categorized into hardware and software. Hardware constitutes the physical components of a computer or its delivery mechanisms for executing software instructions. In the realm of transportation AI, hardware includes neuromorphic and von Neumann hardware. Various technologies, such as deep learning, computer vision, context awareness, and natural language processing, play a role in processes like signal recognition, object recognition, and data mining. These technologies find applications in semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, and other related areas.

The artificial intelligence in transportation market research report is one of a series of new reports that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence in transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.11 billion in 2023 to $3.71 billion in 2024 at a compound annual growth rate (CAGR) of 19.4%. The expansion observed in the historical period can be attributed to several factors, including the utilization of cameras and sensors for collision avoidance, the integration of AI for real-time information analysis, the application of high-performance computing and deep learning systems, the increased availability of big data for training AI models, and a growing emphasis on automation for enhanced safety and operational efficiency.

The artificial intelligence in transportation market size is expected to see rapid growth in the next few years. It will grow to $7.54 billion in 2028 at a compound annual growth rate (CAGR) of 19.4%. The anticipated growth in the forecast period can be attributed to various factors, including the expanding applications of AI in supply chain and logistics for improved operational efficiency, a surge in the adoption of AI for autonomous vehicle development, the integration of AI in multimodal transportation planning and coordination, increased use of AI for real-time route optimization and traffic prediction, and a rising demand for AI-driven solutions in public transportation systems. Key trends expected during this period encompass the development of AI-powered Mobility-as-a-Service (MaaS) platforms, a focus on explainable AI for transparency in decision-making processes, the use of AI for personalized and adaptive in-vehicle experiences, customization of AI solutions tailored to specific transportation modes and industries, and collaborative efforts between AI developers and transportation stakeholders.

The expanding demand for autonomous vehicles is projected to drive the growth of artificial intelligence in the transportation market. Autonomous vehicles are vehicles capable of self-driving, equipped with technologies like adaptive cruise control, active steering, GPS navigation, and various sensors to operate from point A to B. They rely on artificial intelligence for vehicle operation and collision detection. For example, an AlixPartners survey revealed that over 60% of consumers in China, France, Italy, and Germany are familiar with level 2 autonomy, where vehicles handle some driving tasks, expecting drivers to respond as needed. Additionally, more than 50% of consumers are willing to forego vehicle ownership in favor of robotaxi services. Hence, the rising demand for autonomous vehicles will spur artificial intelligence adoption in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1.5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In April 2021, Conduent Transportation, a US-based company specializing in business process services and solutions, partnered with Hayden AI to offer advanced solutions aimed at enhancing traffic safety and efficiency to cities and government organizations in the United States and globally. This collaboration merges Conduent's standing as a leading global provider of public transit and mobility solutions, encompassing traffic enforcement and infractions processing, with Hayden AI's expertise in computer vision-based real-time data collection and urban analytics. Hayden AI, a pioneer in smart traffic enforcement, brings extensive experience in leveraging computer vision technology for urban analytics.

Major companies operating in the in the artificial intelligence in transportation market report are The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2023. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the artificial intelligence in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified)).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


This product will be delivered within 3-5 business days.