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.
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Latest added Global Artificial Intelligence in Transportation Market research study by AMA Research offers detailed outlook and elaborates market review till 2026. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study 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), ZF Friedrichshafen AG (Germany) etc. The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.
This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Artificial Intelligence in Transportation Market research report include SWOT analysis.
- Upsurging Strategic Alliances with other key players to Gain Competitive Edge
- Introduction to Advanced Driver Assistance Systems
- Skilled Workforce is required
- Data Privacy and Cyber Security
- Increasing Adoption of Highly Automated Trucks
- Adoption of AI may Reduce Driver Fatigue and Avoid Potential Accidents
Market Growth Drivers:
- Increasing Demand for Safe and On Time Movement of Goods and Cargo
- Minimizes Operational Cost as well as Increases Efficiency of the Vehicles
The Global Artificial Intelligence in Transportation 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)
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In the year 2017, 33 US states were introduced legislation related to self-driven vehicles. Since 2012, over 40 states and Washington DC have considered legislation on driverless vehicles, and 22 states have passed laws. In addition to this, the Self Drive Act was passed by the US House of Representatives in April 2018, which restricts states bodies and municipalities from placing â€œunreasonable restrictions on the rollout of self-driving cars.
In March 2017, Intel Corporation has acquired Mobileye for around 15 billion USD. That offers software for deep learning technology, furthermore it has a major share in the global AI in transportation market. Therefore, the increasing demand for advancement in autonomous trucks has managed a large amount of funding for various start-ups in the global market.
November 02nd, 2018, Continental AG has announced an agreement to acquire Cooper-Standard Automotive Inc.’s anti-vibration systems business for 265.5 million. The announced agreement also includes a binding offer for substantially through all of Cooper-St
The regional analysis of Global Artificial Intelligence in Transportation Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2021-2026.
Strategic Points Covered in Table of Content of Global Artificial Intelligence in Transportation Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Transportation market
Chapter 2: Exclusive Summary – the basic information of the Artificial Intelligence in Transportation Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence in Transportation
Chapter 4: Presenting the Artificial Intelligence in Transportation Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Transportation market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2026)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Artificial Intelligence in Transportation Market is a valuable source of guidance for individuals and companies.
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