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Rising Vehicle Sales Fuel Expansion of AI in Transportation Market Driving Market Acceleration in the AI in Transportation Industry, 2025
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.How Large Will the AI in Transportation Market Size By 2025?
In the past few years, the market size of AI in transportation has experienced a swift expansion. The market, valued at $3.78 billion in 2024, is projected to escalate to $4.43 billion in 2025, reflecting a compound annual growth rate (CAGR) of 17.4%. Key factors contributing to this impressive growth during the historical phase include the optimization of traffic management, the advancement of autonomous vehicles, the rising demand for intelligent public transportation, anticipative maintenance for vehicles, and an increase in smart infrastructure.
How Big Is the AI in Transportation Market Size Expected to Grow by 2029?
The AI in transportation market is predicted to witness immense growth in the years to come, increasing to "$9.31 billion in 2029 at a Compound Annual Growth Rate (CAGR) of 20.4%. The project growth in this period is due to factors such as the proliferation of electric and interconnected vehicles, the adoption of AI in city mobility, focus on smart and sustainable cities, improved safety aspects, and remote observation and control. Prominent trends expected during this forecast period include improvements in AI formulas and machine learning, government policies and regulations, progress in autonomous vehicles, predictive maintenance using AI, and integration of multiple modes.
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Which Key Market Drivers Powering AI in Transportation Market Expansion and Growth?
The AI in transportation market is expected to grow due to the rising number of vehicles. Various factors, such as population growth, economic boost, and insufficient public transportation, are contributing to the increase in vehicles on the road. AI has the potential to improve traffic, reduce bottlenecks, and cut down travel time by examining real-time traffic data and modifying signal timings and lane settings as needed. For example, a report from Statistics Canada, a Canadian national statistical body, revealed in June 2024 that the total number of registered vehicles on Canadian roads was 26.3 million in 2022, a minor increase of 0.3% from 2021. Therefore, the surge in the number of vehicles is fuelling the progress of the AI in transportation market.
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Which Fast-Growing Trends Are Poised to Disrupt the AI in Transportation Market?
Major companies within the AI in transport sector are forging strategic alliances to tap into invaluable insights and resources from other players, thereby encouraging innovation and the growth of new technologies. Collaborations allow these companies to combine their resources and expertise to create unique AI-powered transportation solutions. As an example, in October 2023, Amazon, an American E-commerce giant, joined forces with UVeye, a US-based company specializing in automated vehicle inspections, to create an AI-fueled technology named Automated Vehicle Inspection (AVI). The purpose of this technology is to examine delivery vans for issues such as tire irregularities, signs of wear on the undercarriage, and a distorted frame. Capable of conducting a comprehensive vehicle scan in mere seconds, and whilst the vehicle moves at a a speed of 5 mph, the AVI system can identify issues, rank them based on their severity, and quickly transmit the results to a computer. The goal of this technology is not only to enhance the safety standards of Amazon's delivery fleet, but also to decrease the dependency on human inspections.
What Are the Emerging Segments in the AI in Transportation Market?
The AI in transportation market covered in this report is segmented -
1) By Components: Hardware, Software
2) By Process: Signal Recognition, Object Recognition, Data Mining
3) By Technology Type: Natural Language Processing, Deep Learning, Computer Vision, Context-Awareness
4) By Application: Semi-Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Machine Human Interface, Other Applications
Subsegments:
1) By Hardware: Sensors, Cameras, LiDAR, Radar, GPS Devices
2) By Software: Traffic Management Software, Autonomous Driving Software, Route Planning Software, Fleet Management Software, Predictive Analytics Software
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Who Are the Global Leaders in the AI in Transportation Market?
Major companies operating in the AI in transportation market include Volvo AB, Mercedes-Benz Group AG, Alphabet Inc., Intel Corporation, NVIDIA Corporation, Valeo SA, ZF Friedrichshafen AG, Continental AG, Magna International Inc., Microsoft Corporation, PACCAR Inc., Robert Bosch GmbH, Scania Group, Xevo Inc., Zonar Systems Inc., Daimler AG, Waymo LLC, Tesla Inc., Uber Technologies Inc., Mobileye Global Inc., Aptiv plc, TomTom N.V., HERE Technologies, Siemens AG, Cisco Systems Inc., IBM Corporation, Cognata Ltd., Argo AI, Aurora Innovation Inc., Zoox Inc., Embark Technology Inc., TuSimple Holdings Inc., PlusAI Inc.
Which are the Top Profitable Regional Markets for the AI in Transportation Industry?
North America was the largest region in the AI in transportation market in 2024. The regions covered in the AI in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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