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Safety and Cost Reduction Drive Uptake of Artificial Intelligence in Transportation Market

Press Release   •   Jan 31, 2018 04:18 EST

QYResearchReports has recently added a new study to its repository, titled, “Global Artificial Intelligence in Transportation Market Professional Survey Report 2018.” It furnishes an in-depth analysis of the market by studying the technology and its possible impact on the transportation sector. It tries to uncover the factors that could positively and negatively impact the market, which is still in a nascent stage. It also banks upon historical and current data to understand its size and growth path going forward.

The report sets out with a description of artificial intelligence (AI) and machine learning (ML), modern sophisticated technologies, primed to disrupt almost every sector. Transportation is one of them. Using AI, one can facilitate forward-looking analysis of data which can have a considerable impact in various areas such as route optimization – think drones that collect data and transmit them to systems that process those. It is said that traffic congestion costs the trucking and cab industry losses to the tune of billions annually. Personal vehicle owners too are affected. By leveraging artificial intelligence in the transportation market, this issue can be tackled to a great extent to offset losses.

Powerful predictive algorithms mining massive volumes of data to offer actionable insights help in risk management and pricing too. They bring down operating costs and serve to up safety and security as well. In fact, artificial intelligence in transportation market is on course to make it driverless in the future. In 2016, for example, and experimental driverless truck build by Otto, which is owned by Uber, delivered beer cans numbering 50,000 after traversing 120 miles. Rare feats such as this are expected to become commonplace with the constant uptake of artificial intelligence in transportation market. It could potentially lead to complete automation of cab and truck fleets.

Get Sample Report of the Research Study at: https://www.qyresearchreports.com/sample/sample.php?rep_id=1474245&type=S

However, organizations should be careful about cyber attacks, and therefore test artificial intelligence systems adequately before adopting them. Apart from that, data, which is a key resource, must be validated and cleared of potential biases that can skew analysis and predictions.

Railways too can be transformed with artificial intelligence, particularly in nations like India and China, were it still forms the backbone of the transportation sector. Depending upon the type of product, artificial intelligence in transportation market can be broadly split into offering and data mining. Offering can be further segmented into software and hardware. Similarly, the process can be further divided into image recognition, data mining, and signal recognition.

Artificial intelligence in transportation market finds application in fully autonomous and semi-autonomous vehicles, HMI, and platooning. Geographically, North America, Europe, Southeast Asia, China, Japan, and India are some of the prominent segments in the artificial intelligence in transportation market. North America and Europe are some of the prominent regions because of the pioneering efforts by the automotive industry to leverage cutting edge technology for building a seamless transportation system. Japan and other Southeast Asian tigers too are frontrunners in adopting artificial intelligence in transportation market.

Some of the prominent players in the artificial intelligence in transportation market are Continental, Bosch, Magna, Valeo, Scania, ZF, Paccar, Daimler, Volvo, Nvidia, Intel, Alphabet, and Microsoft. The report studies their research and development efforts and experiments which are poised to lead to mainstream technologies. It also focusses on the potential revenue generation and future trajectory of the software and transport behemoths spearheading pioneering uses of artificial intelligence in the transport market.

Browse Complete Table of Content of the Report at: https://www.qyresearchreports.com/report/global-artificial-intelligence-in-transportation-market-professional-survey-report-2018.htm/toc

Table of Contents

Global Artificial Intelligence in Transportation Market Professional Survey Report 2017
1 Industry Overview of Artificial Intelligence in Transportation
1.1 Definition and Specifications of Artificial Intelligence in Transportation
1.1.1 Definition of Artificial Intelligence in Transportation
1.1.2 Specifications of Artificial Intelligence in Transportation
1.2 Classification of Artificial Intelligence in Transportation
1.2.1 Hardware
1.2.2 Software
1.3 Applications of Artificial Intelligence in Transportation
1.3.1 Semi & Full-Autonomous
1.3.2 HMI
1.3.3 Platooning

2 Manufacturing Cost Structure Analysis of Artificial Intelligence in Transportation
2.1 Raw Material and Suppliers
2.2 Manufacturing Cost Structure Analysis of Artificial Intelligence in Transportation
2.3 Manufacturing Process Analysis of Artificial Intelligence in Transportation
2.4 Industry Chain Structure of Artificial Intelligence in Transportation

3 Technical Data and Manufacturing Plants Analysis of Artificial Intelligence in Transportation
3.1 Capacity and Commercial Production Date of Global Artificial Intelligence in Transportation Major Manufacturers in 2016
3.2 Manufacturing Plants Distribution of Global Artificial Intelligence in Transportation Major Manufacturers in 2016
3.3 R&D Status and Technology Source of Global Artificial Intelligence in Transportation Major Manufacturers in 2016
3.4 Raw Materials Sources Analysis of Global Artificial Intelligence in Transportation Major Manufacturers in 2016

4 Global Artificial Intelligence in Transportation Overall Market Overview
4.1 2012-2017E Overall Market Analysis
4.2 Capacity Analysis
4.2.1 2012-2017E Global Artificial Intelligence in Transportation Capacity and Growth Rate Analysis
4.2.2 2016 Artificial Intelligence in Transportation Capacity Analysis (Company Segment)
4.3 Sales Analysis
4.3.1 2012-2017E Global Artificial Intelligence in Transportation Sales and Growth Rate Analysis
4.3.2 2016 Artificial Intelligence in Transportation Sales Analysis (Company Segment)
4.4 Sales Price Analysis
4.4.1 2012-2017E Global Artificial Intelligence in Transportation Sales Price
4.4.2 2016 Artificial Intelligence in Transportation Sales Price Analysis (Company Segment)

5 Artificial Intelligence in Transportation Regional Market Analysis
5.1 North America Artificial Intelligence in Transportation Market Analysis
5.1.1 North America Artificial Intelligence in Transportation Market Overview
5.1.2 North America 2012-2017E Artificial Intelligence in Transportation Local Supply, Import, Export, Local Consumption Analysis
5.1.3 North America 2012-2017E Artificial Intelligence in Transportation Sales Price Analysis
5.1.4 North America 2016 Artificial Intelligence in Transportation Market Share Analysis
5.2 China Artificial Intelligence in Transportation Market Analysis
5.2.1 China Artificial Intelligence in Transportation Market Overview


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