Artificial Intelligence in Transportation Market 2018: Key Vendors Analysis, Future Growth, Business Prospects, Growing Technologies and Forecast to 2025
Orbisresearch.com published “Artificial Intelligence in Transportation Market” from its database. The report includes a discussion of the key vendors operating in this market. The report also provides an extensive research and detailed analysis of the present market along with future outlook.
Dallas, United States – May 2, 2018 /MarketersMedia/ —
Global Artificial Intelligence in Transportation Market 2018-2025:
In our aim to provide our erudite clients with the best research material with absolute in-depth information of the market, our new report on Global Artificial Intelligence in Transportation Market is confident in meeting their needs and expectations. The 2018 market research report on Global Artificial Intelligence in Transportation Market is an in-depth study and analysis of the market by our industry experts with unparalleled domain knowledge. The report will shed light on many critical points and trends of the industry which are useful for our esteemed clients. The report covers a vast expanse of information including an overview, comprehensive analysis, definitions and classifications, applications, and expert opinions, among others. With the extent of information filled in the report, the presentation and style of the Global Artificial Intelligence in Transportation Market report is a noteworthy.
The global Artificial Intelligence in Transportation market is valued at xx million US$ in 2017 and is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx.x % between 2018 and 2025.
The major manufacturers covered in this report
• Continental
• Magna
• Bosch
• Valeo
• ZF
• Scania
• Paccar
• Volvo
• Daimler
• Nvidia
• Alphabet
• Intel
• Microsoft
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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.
On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
by Offering
• Hardware
• Software
by Process
• Data Mining
• Image Recognition
• Signal Recognition
On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including
• 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.
Some Points from TOC:
Chapter One: Artificial Intelligence in Transportation Market Overview
1.5 Global Artificial Intelligence in Transportation Market by Region (2013-2025)
1.5.1 Global Artificial Intelligence in Transportation Market Size (Value) and CAGR (%) Comparison by Region (2013-2025)
1.5.2 North America Status and Prospect (2013-2025)
1.5.3 Europe Status and Prospect (2013-2025)
1.5.4 China Status and Prospect (2013-2025)
1.5.5 Japan Status and Prospect (2013-2025)
1.5.6 South Korea Status and Prospect (2013-2025)
1.5.7 India Status and Prospect (2013-2025)
1.6 Global Market Size (Value) of Artificial Intelligence in Transportation (2013-2025)
1.6.1 Global Artificial Intelligence in Transportation Revenue Status and Outlook (2013-2025)
1.6.2 Global Artificial Intelligence in Transportation Capacity, Production Status and Outlook (2013-2025)
Chapter Two: Global Artificial Intelligence in Transportation Market Competition by Manufacturers
2.1 Global Artificial Intelligence in Transportation Capacity, Production and Share by Manufacturers (2013-2018)
2.1.1 Global Artificial Intelligence in Transportation Capacity and Share by Manufacturers (2013-2018)
2.1.2 Global Artificial Intelligence in Transportation Production and Share by Manufacturers (2013-2018)
2.2 Global Artificial Intelligence in Transportation Revenue and Share by Manufacturers (2013-2018)
2.3 Global Artificial Intelligence in Transportation Average Price by Manufacturers (2013-2018)
2.4 Manufacturers Artificial Intelligence in Transportation Manufacturing Base Distribution, Sales Area and Product Type
Chapter Three: Global Artificial Intelligence in Transportation Capacity, Production, Revenue (Value) by Region (2013-2018)
3.1 Global Artificial Intelligence in Transportation Capacity and Market Share by Region (2013-2018)
3.2 Global Artificial Intelligence in Transportation Production and Market Share by Region (2013-2018)
3.3 Global Artificial Intelligence in Transportation Revenue (Value) and Market Share by Region (2013-2018)
3.4 Global Artificial Intelligence in Transportation Capacity, Production, Revenue, Price and Gross Margin (2013-2018)
3.5 North America Artificial Intelligence in Transportation Capacity, Production, Revenue, Price and Gross Margin (2013-2018)
3.6 Europe Artificial Intelligence in Transportation Capacity, Production, Revenue, Price and Gross Margin (2013-2018)
3.7 China Artificial Intelligence in Transportation Capacity, Production, Revenue, Price and Gross Margin (2013-2018)
Chapter Four: Global Artificial Intelligence in Transportation Supply (Production), Consumption, Export, Import by Region (2013-2018)
4.1 Global Artificial Intelligence in Transportation Consumption by Region (2013-2018)
4.2 North America Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
4.3 Europe Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
4.4 China Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
4.5 Japan Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
4.6 South Korea Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
4.7 India Artificial Intelligence in Transportation Production, Consumption, Export, Import (2013-2018)
Continued…
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