Global Artificial Intelligence in Transportation Market Overview:
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.
- Increasing Demand for Safe and On Time Movement of Goods and Cargo
- Minimizes Operational Cost as well as Increases Efficiency of the Vehicles
- Upsurging Strategic Alliances with other key players to Gain Competitive Edge
- Introduction to Advanced Driver Assistance Systems
- Expensive Artificially Intelligent Systems
- Growth of AI in Transportation in Concentrated to Giant Manufacturers Only
- Increasing Adoption of Highly Automated Trucks
- Adoption of AI may Reduce Driver Fatigue and Avoid Potential Accidents
- Skilled Workforce is required
- Data Privacy and Cyber Security
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). Analyst at AdvanceMarketAnalytics see United States and European Players to retain maximum share of Global Artificial Intelligence in Transportation market by 2024. Considering Market by Technology, the sub-segment i.e. Deep Learning will boost the Artificial Intelligence in Transportation market. Considering Market by Process, the sub-segment i.e. Data Mining will boost the Artificial Intelligence in Transportation market. Considering Market by Offering, the sub-segment i.e. Hardware will boost the Artificial Intelligence in Transportation 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-Standard's anti-vibration business in France and its joint venture in India.
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.
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 “unreasonable restrictions” on the rollout of self-driving cars.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be provided prior to purchase
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Artificial Intelligence in Transportation market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Artificial Intelligence in Transportation market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Artificial Intelligence Hardware and Software Suppliers, Artificial Intelligence in Transportation Software & Solution Providers, Automotive OEMs, Raw Material Manufacturers, Research Organizations and Consulting Companies, Research Institutes, Industry Associations, Market Research and Consulting Firm and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.