Artificial Intelligence in Transportation Market, By Offering (Hardware and Software), By Machine Learning Technology (Deep Learning, Computer Vision, Context Awareness, Natural Language Processing), By Application (Autonomous Trucks, HMI in Trucks, Semi-

Artificial intelligence (AI) is being increasingly used across various industries to carry out complex tasks efficiently. AI is used in widespread applications in transportation sector ranging logistics and supply chain management to autonomous vehicles. AI helps to optimize routing and fleet management for logistics companies. Self-driving cars using computer vision and other AI techniques can revolutionize transportation. With vehicle and infrastructure data, AI models are being used for predictive maintenance of vehicles and infrastructure.

Market Dynamics:

Global artificial intelligence in transportation market growth is driven by rising demand for optimization of logistics and supply chain operations. AI-based fleet management and predictive analytics are helping companies to lower costs and improve efficiencies. Furthermore, development of AI techniques such as deep learning and their application in computer vision for autonomous vehicles can offer market growth opportunity. However, concerns around safety, data privacy, and the lack of regulations for self-driving vehicles can hamper its adoption. Lack of infrastructure in many countries to support autonomous technologies can also hamper the market growth. Rising trend of leveraging AI capabilities for predictive maintenance to achieve savings on transportation assets can offer market growth opportunities.

Key features of the study:

• This report provides in-depth analysis of the global artificial intelligence in transportation market, and provides market size (US$ Billion) and compound annual growth rate (CAGR%) for the forecast period (2025–2032), considering 2024 as the base year.
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
• It profiles key players in the global artificial intelligence in transportation market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies.
• Key companies covered as a part of this study include Peloton, Paccar, Scania, Valeo, Xevo, ZF, Zonar, Nvidia Corporation, Siemens Mobility, NEC Corporation, Microsoft Corporation, IBM Corporation, Robert Bosch GmbH, Continental AG, Volvo Group.
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
• Global artificial intelligence in transportation market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
• Stakeholders would have ease in decision-making through various strategy matrices used in analysing the global artificial intelligence in transportation market.

• By Offering
• Hardware
• Software
• By Machine Learning Technology
• Deep Learning
• Computer Vision
• Context Awareness
• Natural Language Processing (NLP)
• By Application
• Autonomous Trucks
• HMI in Trucks
• Semi-Autonomous Trucks
• By Regional
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa
• Key Players Insights
• Peloton
• Paccar
• Scania
• Valeo
• Xevo
• ZF
• Zonar
• Nvidia Corporation
• Siemens Mobility
• NEC Corporation
• Microsoft Corporation
• IBM Corporation
• Robert Bosch GmbH
• Continental AG
• Volvo Group