The Artificial Intelligence in Transportation Market analysis indicates the following key insights:

The market is expected to reach USD 6.6 billion by 2026, with a CAGR of XX%. In 2018, the market was valued at XX billion.

Key drivers of growth include a rising focus on safety and security, as well as the reduction of transportation operating costs. This leads to a growing demand for AI in the transportation sector.

Deep learning technology is widely used in autonomous vehicles to drive, analyze data, and make decisions.

The application focus is primarily on fully autonomous trucks, and companies like Scania, Volvo, and Daimler are developing and testing these vehicles.

The high cost of AI systems, infrastructure development, and advanced features like adaptive cruise control are restraints on market growth.

North America is the largest market, driven by government regulations to reduce accidents and a growing demand for automated control vehicles. The Asia Pacific region is expected to experience rapid growth, driven by the adoption of automated vehicles and government regulations.

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Market Dynamics:

The proliferation of connected devices and the advent of 5G technology are generating significant opportunities for the telecommunications industry, leading to an increased demand for telecommunications equipment cabinets and racks.

The growth of the data center construction industry is a major factor driving the global market for telecommunications equipment cabinets and racks.

High-density servers and network applications are increasingly in demand due to the need for powerful telecommunications systems.

Market Segmentation:

Application: Includes Autonomous Trucks, HMI in Trucks, and Semi-Autonomous Trucks.
Offering: Hardware and Software.
Machine Learning Technology: Deep Learning, Computer Vision, Context Awareness, Natural Language Processing (NLP).
Process: Signal Recognition, Object Recognition, Data Mining.
Geography: North America, Europe, Asia Pacific, Middle East & Africa, Latin America.
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Key Drivers:

The growth of AI is driven by factors like unlimited access to computing power and the abundance of data due to the growth in big data. The public cloud computing sector and data storage are contributing significantly to AI advancements.
Key Players:

Continental (Germany)
Bosch (Germany)
NVIDIA (US)
Microsoft (US)
Volvo (Sweden)
Daimler (Germany)
Scania (Sweden)
Paccar (US)
Man (Germany)
Valeo (France)
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Research Methodology:

Data from Bloomberg, Factiva, and Hoovers, as well as insights from top manufacturing companies and stakeholders, have been used. Top-down and bottom-up approaches have been employed to estimate the global and regional market size. Data triangulation techniques and comparative analysis were also used to calculate the exact market size.

Key Target Audience:

AI hardware and software suppliers
Automotive OEMs
Industry associations and connected vehicle systems manufacturers
AI service or solution providers
Government national and regional environmental regulatory agencies
The automobile industry and related end-user industries
This research report segments the artificial intelligence in transportation market based on application, offering, machine learning technology, process, and geography.

*Please note that XX% was used in places where specific numerical values were not provided in the original text.



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