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(Transportation-News.com, March 02, 2019 ) The Global Artificial Intelligence in Transportation Industry report provides key information about the industry, including invaluable facts and figures, expert opinions, and the latest developments across the globe. Not only does the report cover a holistic view of the industry from a global standpoint, but it also covers individual regions and their development. The Global Artificial Intelligence in Transportation Industry report showcases the latest trends in the global and regional markets on all critical parameters which include technology, supplies, capacity, production, profit, price, and competition. The key players covered in the report provide a detailed analysis of the competition and their developments in the Global Artificial Intelligence in Transportation Industry. Accurate forecasts and expert opinion from credible sources, and the recent R&D development in the industry is also a mainstay of the Artificial Intelligence in Transportation Market report.
The global Artificial Intelligence in Transportation market is valued at XX million US$ in 2018 is expected to reach XX million US$ by the end of 2025, growing at a CAGR of XX% during 2019-2025.
This report focuses on Artificial Intelligence in Transportation volume and value at global level, regional level and company level. From a global perspective, this report represents overall Artificial Intelligence in Transportation market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
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The following manufacturers are covered:
• Continental
• Magna
• Bosch
• Valeo
• ZF
• Scania
• Paccar
• Volvo
• Daimler
• Nvidia
• Alphabet
• Intel
• Microsoft
Segment by Type:
by Offering
• Hardware
• Software
by Process
• Data Mining
• Image Recognition
• Signal Recognition
Segment by Application:
• Semi & Full-Autonomous
• HMI
• Platooning
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The report also focuses on the significance of industry chain analysis and all variables, both upstream and downstream. These include equipment and raw materials, client surveys, marketing channels, and industry trends and proposals. Other significant information covering consumption, key regions and distributors, and raw material suppliers are also a covered in this report.
Finally, the Artificial Intelligence in Transportation Market report ends with a detailed SWOT analysis of the market, investment feasibility and returns, and development trends and forecasts. As with every report on Orbis Research, the Artificial Intelligence in Transportation Industry is the holy grail of information which serious knowledge seekers can benefit from. The report which is the result of ultimate dedication of pedigree professionals has a wealth of information which can benefit anyone, irrespective of their commercial or academic interest.
Key Points from TOC:
Chapter One: Artificial Intelligence in Transportation Market Overview
Chapter Two: Global Artificial Intelligence in Transportation Market Competition by Manufacturers
2.1 Global Artificial Intelligence in Transportation Production Market Share by Manufacturers (2014-2019)
2.2 Global Artificial Intelligence in Transportation Revenue Share by Manufacturers (2014-2019)
2.3 Global Artificial Intelligence in Transportation Average Price by Manufacturers (2014-2019)
2.4 Manufacturers Artificial Intelligence in Transportation Production Sites, Area Served, Product Types
2.5 Artificial Intelligence in Transportation Market Competitive Situation and Trends
2.5.1 Artificial Intelligence in Transportation Market Concentration Rate
2.5.2 Artificial Intelligence in Transportation Market Share of Top 3 and Top 5 Manufacturers
2.5.3 Mergers & Acquisitions, Expansion
Chapter Three: Global Artificial Intelligence in Transportation Production Market Share by Regions
Chapter Four: Global Artificial Intelligence in Transportation Consumption by Regions
Chapter Five: Global Artificial Intelligence in Transportation Production, Revenue, Price Trend by Type
Chapter Six: Global Artificial Intelligence in Transportation Market Analysis by Applications
Chapter Seven: Company Profiles and Key Figures in Artificial Intelligence in Transportation Business
7.1 Continental
7.1.1 Continental Artificial Intelligence in Transportation Production Sites and Area Served
7.1.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.1.3 Continental Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.1.4 Main Business and Markets Served
7.2 Magna
7.2.1 Magna Artificial Intelligence in Transportation Production Sites and Area Served
7.2.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.2.3 Magna Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.2.4 Main Business and Markets Served
7.3 Bosch
7.3.1 Bosch Artificial Intelligence in Transportation Production Sites and Area Served
7.3.2 Artificial Intelligence in Transportation Product Introduction, Application and Specification
7.3.3 Bosch Artificial Intelligence in Transportation Production, Revenue, Price and Gross Margin (2014-2019)
7.3.4 Main Business and Markets Served
Continued…
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