Artificial Intelligence in Transportation Research Report

Artificial Intelligence in Transportation Research Report

Artificial Intelligence in Transportation Research Report

https://www.globenewswire.com/news-release/2026/01/29/3228772/28124/en/Artificial-Intelligence-in-Transportation-Research-Report-2026-Global-Market-Size-Trends-Opportunities-and-Forecasts-2021-2025-2026-2031.html

Publish Date: 2026-01-29 09:59:00

Source Domain: www.globenewswire.com

Dublin, Jan. 29, 2026 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Transportation Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031” has been added to ResearchAndMarkets.com’s offering.

The Global Artificial Intelligence in Transportation Market is projected to expand from USD 3.89 Billion in 2025 to USD 10.57 Billion by 2031, registering a CAGR of 18.13%.

This sector encompasses the utilization of machine learning, computer vision, and predictive analytics to enable autonomous operations, manage traffic flow, and optimize logistics.

The market is primarily driven by the urgent need for operational efficiency and the rising demand for autonomous vehicle technologies aimed at enhancing road safety. Additionally, the requirement for real-time data processing to improve supply chain operations and minimize fuel usage serves as a significant growth catalyst, distinguishing it from fleeting adoption trends.

One major hurdle hindering rapid market growth is the complexity of merging advanced AI solutions with aging infrastructure, a process often involving substantial capital costs and strict safety validation. According to SITA, nearly 45% of North American airlines designated artificial intelligence as their primary technology priority in 2024, highlighting the industry’s dedication to overcoming these modernization challenges. This statistic emphasizes the necessity of strategic resource allocation to transform traditional frameworks into intelligent, data-centric transportation networks.

Market Drivers

The rapid progression of autonomous vehicle technologies is fundamentally transforming the industry by requiring high-performance computing and neural network integration to ensure safe navigation. Technology companies and manufacturers are heavily investing in self-driving systems that use sensor fusion to analyze changing road conditions, necessitating substantial financial support to validate…

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