A Long-term Investment in Artificial Intelligence in Transportation Market Will Bring Potential Growth, Attractive Valuation, Key Players Include: Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft

The emergence of autonomous trucks and industry-wide standards such as adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the artificial intelligence in transportation market. The growing demand for safety and security has created an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

The key software & Tier- I suppliers profiled in the report include Continental, Magna, Bosch, Valeo, ZF, Scania, Paccar, Volvo, Daimler, Nvidia, Alphabet, Intel, Microsoft

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The software segment is estimated to hold the largest market share of the artificial intelligence in transportation market in 2019. In recent years, major developments have occurred in AI software solutions, platforms, and related software development kits. These developments have taken place due to the need for advancement in the areas of object perception, machine translation, and object recognition. Companies such as Alphabet, Microsoft, IBM, and Intel are among the frontrunners in the development of AI software.

All these companies are acquiring or investing heavily in start-ups to maintain a strong position in the artificial intelligence in transportation market. In March 2019, Intel acquired Mobileye for approximately USD 15 billion. Software for deep learning technology has a major share in the AI in transportation market. Therefore, the need for advancement in autonomous trucks has led to a large amount of funding for various start-ups in the North American region.

The data mining segment is projected to grow at the highest rate during the forecast period from 2019 to 2024. A huge amount of data, collected from different sensors used in semi-autonomous or autonomous trucks, can be used to train the trucks to detect or recognize images, obstacles, and various scenarios one might encounter behind the wheel. Autonomous trucks have a potential of collecting more data from the outside environment and, hence, data mining will be of great importance in autonomous trucks.

The North American region is estimated to have the largest market for data mining as the trucking industry has a huge influence on its economy. Similarly, the growing demand for predictive maintenance in transportation industry would boost the growth of the data mining process in the near future.

Transportation plays a significant role in the North American economy. According to American Trucker Association, there are 8.7 million truck-related jobs in the US, and the country still faces a shortage of truck drivers. Hence, major developments related to autonomous driving of trucks are taking place in this country. Additionally, incentives and high level of funding from the government plays a major role in the development of this technology.

For instance, in 2016, the US government spent USD 4.00 billion to accelerate the acceptance of autonomous vehicles on US roads. Also, the Central North American Trade Corridor Association is planning to develop a driverless truck corridor from Mexico to Manitoba. Also, the region is home to leading technology companies such as Microsoft, Intel, and NVIDIA, which offer various AI technologies for vehicles in partnership with OEMs. Therefore, the North American region has a great potential for the growth of the artificial intelligence in transportation market.

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Table of Contents
1 Artificial Intelligence in Transportation Market Overview
2 Global Artificial Intelligence in Transportation Market Competition by Manufacturers
3 Global Artificial Intelligence in Transportation Capacity, Production, Revenue (Value) by Region (2012-2017)
4 Global Artificial Intelligence in Transportation Supply (Production), Consumption, Export, Import by Region (2012-2017)
5 Global Artificial Intelligence in Transportation Production, Revenue (Value), Price Trend by Type
6 Global Artificial Intelligence in Transportation Market Analysis by Application
7 Global Artificial Intelligence in Transportation Manufacturers Profiles/Analysis
7.1 Continental
7.1.1 Company Basic Information, Manufacturing Base, Sales Area and Its Competitors
7.1.2 Artificial Intelligence in Transportation Product Category, Application and Specification
7.1.2.1 Product A
7.1.2.2 Product B
7.1.3 Continental Artificial Intelligence in Transportation Capacity, Production, Revenue, Price and Gross Margin (2012-2017)
7.1.4 Main Business/Business Overview
8 Artificial Intelligence in Transportation Manufacturing Cost Analysis
9 Industrial Chain, Sourcing Strategy and Downstream Buyers
10 Marketing Strategy Analysis, Distributors/Traders
Continue . . .

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