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Global Artificial Intelligence in Transportation Market was valued at USD 1.85 billion in 2018 which is expected to reach USD 4.8 billion by 2027 at a CAGR 17.3%.

Artificial intelligence technology is the computer operated task which involves human intelligence such as solving complex problem solving, and decision making. Global artificial intelligence in transportation market is exponentially growing due to government rules and regulations for vehicle safety and security and implementation of enhanced driver assistance systems.

However, high cost of artificial intelligence systems and high infrastructure cost are the major challenges for the growth of artificial intelligence in transportation market. Also, machine learning is data driven and cyber security and data privacy will affect the global artificial intelligence in transportation market growth.

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Market Segmentation
Global Artificial Intelligence in Transportation Market is segmented into offering such as Hardware, and Software, by technology such as Computer Vision, NLP, and Deep Learning. Further, Global Artificial Intelligence in Transportation Market is segmented into process such as Signal Recognition, and Data Mining.

Also, Global Artificial Intelligence in Transportation Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

Market Key Players
Various key players are discussed in this report such as Daimler, Scania, Paccar, Man, Volvo, Continental, Magna, Bosch, Valeo, and ZF.

Market Taxonomy

By Offering
• Hardware
• Software

By Technology
• Computer Vision
• NLP
• Deep Learning

By Process
• Signal Recognition
• Data Mining

By Region
• North America
• Latin America
• Europe
• Asia Pacific
• Middles East & Africa

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