Pune, India -- (SBWIRE) -- 08/29/2018 -- The transportation domain is beginning to apply Artificial Intelligence (AI) in mission-critical tasks for example, self-driving vehicles carrying passengers where the reliability and safety of an AI system will be under question from the general public. The compatibility of AI to transportation applications is a somewhat natural fit. Yet, as is the case with AI in many other industries, the adoption of these applications currently varies across industries and geographies.

In this Artificial Intelligence in Transportation Market research report, the analysts have employed severe primary and secondary research methods of the market which can increase the products demand in the market. This not only makes the forecasts more exact, but also helps specialists examine the market from an extensive perspective.

The rise of industry standards such as autonomous trucks and Adaptive Cruise Control (ACC), blind zone alerting and advanced driver assistance systems (ADAS) will allow AI to grow in the transportation market. Fully autonomous vehicles on trial, use AI based software and a set of hardware such as video camera, light detection and ranging (LiDAR), and RADAR sensors.

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Global Artificial Intelligence in Transportation Market is expected to grow at a CAGR of +16% during the forecast period 2018-2023

Key players
Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden)

By technology, the AI in transportation market is categorized into deep learning, computer vision, and NLP. Among these, the deep learning category is estimated to account for the largest share, as this technology is being increasingly used in various AI related applications in the development of self-driving trucks.

The report also expands on the opportunities of the developing markets of North America, Europe, Middle East & Africa, Asia Pacific and Latin America. Numerous regions, manufacturers, and types are considered to analyze the production, capacity, and revenue of the Artificial Intelligence in Transportation Market.

The research report entitled on the Artificial Intelligence in Transportation Market provides useful understandings into the trends and factors that drive this market. The opening part of this market studies comprehensively and discusses the projecting features of the market in terms of the its structure, landscape, demand factors, challenges and very significantly, the estimated market performance.

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The research report examines the market order carrying out SWOT analysis of the important players operating in the Artificial Intelligence in Transportation Market. Charts, statistics, graphs, and tables have been encompassed, to proves the information in a clear manner. This study is also examined on the geographical basis. All the important factors are provided that attracts the market towards its development.

Table of Contents:
Global Artificial Intelligence in Transportation Market Research Report 2018-2023
Chapter 1: Artificial Intelligence in Transportation Market Overview
Chapter 2: Global Economic Impact on Industry
Chapter 3: Global Market Competition by Manufacturers
Chapter 4: Global Production, Revenue (Value) by Region
Chapter 5: Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6: Global Production, Revenue (Value), Price Trend by Type
Chapter 7: Artificial Intelligence in Transportation Market Analysis by Application
Chapter 8: Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Global Artificial Intelligence in Transportation Market Forecast

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