Artificial Intelligence in Transportation Market: Getting Back To Growth | Nvidia, Intel, Alphabet

Artificial Intelligence in Transportation Market Comprehensive Study is an expert and top to bottom investigation on the momentum condition of the worldwide Artificial Intelligence in Transportation industry with an attention on the Global market. The report gives key insights available status of the Artificial Intelligence in Transportation producers and is an important wellspring of direction and course for organizations and people keen on the business. By and large, the report gives an inside and out understanding of 2020-2025 worldwide Artificial Intelligence in Transportation Market covering extremely significant parameters.

Key Players in This Report Include,
Some of the key players profiled in the report are Microsoft Corporation (United States), IBM Corporation (United States), Continental (Germany), Alphabet Inc. (United States), Intel Corporation (United States), Magna (Canada), Robert Bosch GmbH (Germany), Nvidia Corporation (United States), Valeo SA (France) and ZF Friedrichshafen AG (Germany). The Players having a strong hold in the market are Alphabet ,Inc. Microsoft Corporation, IBM, and Intel Corporation. Additionally, following companies can also be profiled that are part of our coverage like Scania (Sweden), Paccar (United States), Volvo (Sweden) and Daimler (Germany).

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Brief Summary of Artificial Intelligence in Transportation:
Transportation industry is evolving significantly in terms of automations. The automated vehicles requires machine intelligence that is artificial intelligence which refers to computer operated tasks which otherwise have required human intelligence such as decision making and visual perception. Transportation is a vital application area for artificial intelligence, involving the use computer vision, decision making and natural language processing (NLP) technologies. Fully Automated vehicles use AI based systems with the set of hardware such as Lidar, RADAR sensors, Video Cameras and many others. Thus, such a wide scope applications will lead to increase the demand for AI in transportation in forecasting years.

Market Drivers
• Increasing Demand for Safe and On Time Movement of Goods and Cargo
• Minimizes Operational Cost as well as Increases Efficiency of the Vehicles

Market Trend
• Upsurging Strategic Alliances with other key players to Gain Competitive Edge
• Introduction to Advanced Driver Assistance Systems

Restraints
• Expensive Artificially Intelligent Systems
• Growth of AI in Transportation in Concentrated to Giant Manufacturers Only

Opportunities
• Increasing Adoption of Highly Automated Trucks
• Adoption of AI may Reduce Driver Fatigue and Avoid Potential Accidents

Challenges
• Skilled Workforce is required
• Data Privacy and Cyber Security

The Global Artificial Intelligence in Transportation Market segments and Market Data Break Down are illuminated below: by Application (Semi & Full-Autonomous, HMI, Platooning), Technology (Deep Learning, Computer Vision, Context Awareness, NLP), Process (Data Mining, Image Recognition, Signal Recognition), Offering (Hardware, Software)

This research report represents a 360-degree overview of the competitive landscape of the Global Artificial Intelligence in Transportation Market. Furthermore, it offers massive data relating to recent trends, technological, advancements, tools, and methodologies. The research report analyzes the Global Artificial Intelligence in Transportation Market in a detailed and concise manner for better insights into the businesses.

Regions Covered in the Artificial Intelligence in Transportation Market:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

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The research study has taken the help of graphical presentation techniques such as infographics, charts, tables, and pictures. It provides guidelines for both established players and new entrants in the Global Artificial Intelligence in Transportation Market.

The detailed elaboration of the Global Artificial Intelligence in Transportation Market has been provided by applying industry analysis techniques such as SWOT and Porter’s five-technique. Collectively, this research report offers a reliable evaluation of the global market to present the overall framework of businesses.

Attractions of the Artificial Intelligence in Transportation Market Report:
• The report provides granular level information about the market size, regional market share, historic market (2014-2018) and forecast (2019-2025)
• The report covers in-detail insights about the competitor’s overview, company share analysis, key market developments, and their key strategies
• The report outlines drivers, restraints, unmet needs, and trends that are currently affecting the market
• The report tracks recent innovations, key developments and start-up’s details that are actively working in the market
• The report provides plethora of information about market entry strategies, regulatory framework and reimbursement scenario

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Key Points Covered in the Table of Content:
Chapter 1 to explain Introduction, market review, market risk and opportunities, market driving force, product scope of Artificial Intelligence in Transportation Market;
Chapter 2 to inspect the leading manufacturers (Cost Structure, Raw Material) with sales Analysis, revenue Analysis, and price Analysis of Artificial Intelligence in Transportation Market;
Chapter 3 to show the focused circumstance among the best producers, with deals, income, and Artificial Intelligence in Transportation market share 2020;
Chapter 4 to display the regional analysis of Global Artificial Intelligence in Transportation Market with revenue and sales of an industry, from 2020 to 2022;
Chapter 5, 6, 7 to analyze the key countries (United States, China, Europe, Japan, Korea & Taiwan), with sales, revenue and market share in key regions;
Chapter 8 and 9 to exhibit International and Regional Marketing Type Analysis, Supply Chain Analysis, Trade Type Analysis;
Chapter 10 and 11 to analyze the market by product type and application/end users (industry sales, share, and growth rate) from 2020 to 2026
Chapter 12 to show Artificial Intelligence in Transportation Market forecast by regions, forecast by type and forecast by application with revenue and sales, from 2020 to 2025;
Chapter 13, 14 & 15 to specify Research Findings and Conclusion, Appendix, methodology and data source of Artificial Intelligence in Transportation market buyers, merchants, dealers, sales channel.

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Artificial Intelligence in Transportation Market research provides answers to the following key questions:
• What is the expected growth rate of the Artificial Intelligence in Transportation Market?
• What will be the Artificial Intelligence in Transportation Market size for the forecast period, 2020 – 2026?
• What are the main driving forces responsible for changing the Artificial Intelligence in Transportation Market trajectory?
• Who are the big suppliers that dominate the Artificial Intelligence in Transportation Market across different regions? Which are their wins to stay ahead in the competition?
• What are the Artificial Intelligence in Transportation Market trends business owners can rely upon in the coming years?
• What are the threats and challenges expected to restrict the progress of the Artificial Intelligence in Transportation Market across different countries?

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