Artificial Intelligence in Transportation Market

Artificial Intelligence in Transportation Market worth 10.30 Billion USD by 2030

The artificial intelligence in transportation market is valued at USD 1.00 billion in 2016 and is projected to grow at a CAGR of 17.87% during the forecast period. The base year considered for the study is 2016 and the forecast period is from 2017 to 2030. Growing demand for safety & security and increasing focus toward reducing the operating cost of transportation have triggered the growth of the artificial intelligence market for transportation.

Target audience of artificial intelligence in transportation market • Artificial intelligence hardware and software suppliers • Raw material manufacturers of artificial intelligence system components • Automotive OEMs • Artificial intelligence service/solution providers • Industry associations and connected vehicle systems manufacturers • Government’s national and regional environmental regulatory agencies or organizations • The automobile industry and related end-user industries

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Scope Of The Report Artificial Intelligence in Transportation Market, By Application • Autonomous Trucks • HMI in Trucks • Semi-Autonomous Trucks Artificial Intelligence in Transportation Market, By Machine Learning Technology • Deep Learning • Computer Vision • Context Awareness • Natural Language Processing

Key players The key software & Tier- I suppliers profiled in the report include Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden), and others.

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North America is estimated to be the leading market for artificial intelligence in transportation.

Transportation plays a significant role in the north American economy. According to American trucker association, there are 8.7 million truck-related jobs in the US, and the country still faces a shortage of truck drivers. Hence, major developments related to autonomous driving of trucks are taking place in this country. Additionally, incentives and high level of funding from the government plays a major role in the development of this technology. For instance, in 2016, the US government spent USD 4.00 billion to accelerate the acceptance of autonomous vehicles on US roads. Also, the central north american trade corridor association is planning to develop a driverless truck corridor from mexico to manitoba. Also, the region is home to leading technology companies such as microsoft (US), intel (US), and NVIDIA (US), which offer various AI technologies for vehicles in partnership with oems. Therefore, the north american region has a great potential for the growth of the artificial intelligence in transportation market.

BROWSE 76 MARKET DATA TABLES AND 53 FIGURES SPREAD THROUGH 187 PAGES AND IN-DEPTH TOC ON "ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET BY MACHINE LEARNING (DEEP LEARNING, COMPUTER VISION, CONTEXT AWARENESS, NLP), APPLICATION (SEMI & FULLAUTONOMOUS, HMI, PLATOONING), OFFERING (HARDWARE, SOFTWARE), PROCESS, AND REGION - GLOBAL FORECAST TO 2030"

This study answers several questions for the stakeholders, primarily which market segments to focus on in the next two to five years to prioritize efforts and investments.

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