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.
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Artificial Intelligence in Transportation Market estimated to grow at a CAGR of +17% during forecast period
A complete analysis of the Artificial Intelligence in Transportation market is been done in this intelligence report. It includes the investigations done of the past progress, present ongoing market scenarios and future prospects.
In this particular market report an accurate data of the products, strategies and market shares of leading companies are mentioned clearly.
Companies Profiled in this report includes, Continental AG, Bosch, Microsoft, NVIDIA, Volvo, Daimler, SCANIA
In recent years, major developments have occurred in AI software solutions, platforms, and related software development kits.
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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.
As leading companies take efforts to maintain their dominance in the global Artificial Intelligence in Transportation market, the right way to do so is by adopting new technologies and strategies. The report highlights major technological developments and changing trends adopted by key companies over a period of time.
Key companies operating in the global Artificial Intelligence in Transportation market are profiled by considering factors such as capacity production, products/services, applications, cost, gross, and revenue.
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Reason to Access Artificial Intelligence in Transportation Market Research Report:
Artificial Intelligence in Transportation market is segmented on the basis of various parameters. The factors which are impacting the market’s growth are studied in detail.
The report also presents a overall weaknesses which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period. Besides this, profiles of some of the leading players operating and encouraging in the growth of the global market are included in the study.
Additionally, using SWOT analysis, markets weaknesses and strengths are analyzed. It also helps the report provide insights into the opportunities and threats that these companies may face during the forecast period.
Table of Contents
Global Artificial Intelligence in Transportation Market Research Report 2017
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 Global 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 Market Forecast
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