AI in Transportation Market Competitive Landscape & Future Outlook

AI in Transportation Market Playbook, Growth Opportunities & Trends

The AI in transportation market size is anticipated to grow from USD 5.57 billion in 2025 to USD 35.7 billion by 2034, with a compound annual growth rate (CAGR) of 22.73% during the forecast period from 2025 to 2034.

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Introduction

The AI in transportation market is a crucial branch of the automotive and transportation industry. This industry deals in providing AI-based solutions for enhancing the transportation sector. There are several hardware components of this industry consisting of neuromorphic components and Von Neumann. It also includes various software components such as platforms and solutions. It uses different technologies including deep learning, computer vision, context awareness, natural language processing and some others. The AI in transportation finds applications in numerous sectors such as semi-autonomous truck, truck platooning, predictive maintenance, precision and mapping, autonomous truck, machine human interface and some others. The rapid developments in the AI sector have played a crucial role in the industrial expansion. This market is likely to rise significantly with the growth of the AI sector across the world.

• According to the India Brand Equity Foundation, the global AI industry size in 2021 was US$ 59.67 billion in 2021 that is expected to reach US$ 422.37 billion in 2028.

Highlights of the AI in Transportation Market

• North America held the largest share of the AI in Transportation market due to the rising cases of road accidents in U.S. and Canada.
• Asia Pacific is expected to grow with the highest CAGR due to the growing demand for autonomous vehicles along with technological advancements in automotive sector.
• The software segment dominated the market due to the rapid advancement in ADAS technology coupled with growing emphasis on developing autonomous technology.
• The autonomous truck segment led the market due to the rising development in the e-commerce sector and increasing demand for autonomous trucks in logistics sector.

AI in Transportation: Insights, Trends & Statistics

• According to the Malaysian Automotive Association, around 719160 passenger cars were sold in Malaysia in 2023.
• According to the International Trade Administration, around 3,526 passenger vehicles were manufactured in Mexico during 2023.
• According to the SMMT, around 82753 petrol vehicles were registered in UK in 2024.
• According to the International Organization of Motor Vehicle Manufacturers, around 27452301 commercial vehicles were sold in 2023.

Industry Leader Announcement

In March 2024, Christy Roadknight, the Business Unit Director of Eaton’s Mobility Group made an announcement stating that, “Pressure builds up in the gas tank when the vehicle is in electric mode, so that pressure has to be released. Also, when refueling you want to make sure the tank is depressurized to avoid spit back, Modern hybrids spend more time in electric mode so FTIV is now even more important.”

Competitive Landscape

The automotive fuel tanks market is a rapidly developing industry with the presence of several dominant players. Some of the prominent companies in this industry consists of Yachiyo Industry Co., Ltd. (Japan), Continental AG(Germany), Kautex Textron GmbH & Co. KG(Germany), TI Automotive Inc. (U.K), Magna International Inc. (Canada), YAPP Automotive Parts Co. Ltd. (China) and some others. These markets players are developing high-quality fuel tanks for automotives and adopting several strategies to maintain their dominance in this industry.

• According to the annual report of TI Fluid Systems, the revenue of the PLC segment in 2022 was 1936.70 million euros in 2022 that increased to 2084.80 million euros in 2023.

Market Segments

By Offering

• Hardware
• Neuromorphic
• Von Neumann
• Software
• Platforms
• Solutions

By Machine Learning Technology

• Deep Learning
• Computer Vision
• Context Awareness
• Natural Language Processing

By Process

• Signal Recognition
• Object Recognition
• Data Mining

By Application

• Semi Autonomous Truck
• Truck platooning
• Predictive maintenance
• Precision and mapping
• Autonomous truck
• Machine human interface
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa