The Global Artificial Intelligence in Transportation Market study report is a thorough overview of the most recent strides and developments in the Artificial Intelligence in Transportation industry, using 2019 as the base year and the forecast period of 2021–2028. The study provides insightful information on the market's size, share, sales channels, distribution system, market segmentation, consumer demands, market trends, and growth prospects. The market's expansion on a national and international level is also covered in the study. In several important areas, the market's growth has been adversely impacted by supply chain disruptions and economic instability. The study examines the pandemic's current and potential effects as well as the post-pandemic market environment.
The global Artificial Intelligence in transportation market size is expected to reach USD 7,065.1 Million in 2028 and register a robust CAGR over the forecast period, according to latest analysis by Emergen Research. Steady revenue growth of the Artificial Intelligence in transportation market can be attributed to rising demand for safety and security in transportation and logistics and increasing deployment of more advanced traffic management solutions. Artificial Intelligence (AI) in transportation is used to gather traffic data to decrease traffic congestion and enhance public transport scheduling. AI helps in streamlining traffic patterns through real-time tracking and intelligent traffic light algorithms, thereby enabling smooth traffic flow, which significantly improves various aspects in transportation. Besides, AI helps in decreasing fuel consumption and exhaust emissions, which would otherwise be higher in a normal setting as a result of numerous vehicles moving slowly during a traffic jam or congestion.
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Key companies profiled in the report include:
Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE
The report offers a complete analysis of the global Artificial Intelligence in Transportation market on a global and regional scale and offers a forecast for the market for 8 years. The report provides extensive coverage of the market drivers, restraints, limitations, growth prospects, threats, opportunities, and current and emerging trends in the market. The report also offers an in-depth analysis of the market players along with their business overview, product portfolio, technological advancements, expansion plans, financial standing, and global position. It also sheds light on the collaborations in the competitive landscape, such as mergers and acquisitions, joint ventures, collaborations, product launches, brand promotions, corporate and government deals, licensing agreements, and others.
Regional analysis includes an in-depth study of the key geographical regions to gain a better understanding of the market and provide an accurate analysis. The regional analysis covers North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The regional analysis covers the analysis of key market segments, including revenue, CAGR, import/export, supply and demand ratio, production and consumption ratio, industrial chain analysis, and market dynamics in each region of the geographies.
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This report is the latest document encompassing the massive changes that took place in the Artificial Intelligence in Transportation market following the emergence. The pandemic has drastically affected the global economic landscape, thereby disrupting the operating mechanism of the Artificial Intelligence in Transportation market. The severe global crisis has prompted organizations to efficiently respond to the rapidly shifting business environment.
Process Outlook (Revenue, USD Million; 2021–2028)
- Signal Recognition
- Object Recognition
- Data Mining
Learning Technology Outlook (Revenue, USD Million; 2021–2028)
- Deep Learning
- Context Awareness
- Computer Vision
- Natural Language Processing
Application Outlook (Revenue, USD Million; 2021–2028)
- Autonomous Trucks
- HMI Trucks
- Semi-autonomous Trucks
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