The study methodologies used to examine the Artificial Intelligence in Transportation market for the forecast period, 2020 - 2027 further classifies the industry by type, geography, end-use and end-user to add more precision and bring to light factors responsible for augmenting business development.

Vancouver, BC -- (SBWire) -- 03/09/2021 --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.

Significant driving forces shaping the future of the Artificial Intelligence in Transportation market for the forecast period 2020 - 2027 find a special mention in the study and are backed by a real-time statistics. Thorough segmentation of the industry by type, application, classification, and geography works as an impetus towards increasing the sale figures and boosting business prospects alongside the hindrances that often restrict the industry's growth. In addition, bifurcation of the market on the basis of consumption volume, customer preference, end-user, and production capacity is explained through important resources including but not limited to charts, graphic images, and tables.

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Here are the questions we answer...
What are the future opportunities in store for the vendors operating in the Artificial Intelligence in Transportation market?
What does the competitive landscape look like?
Which emerging technologies are believed to impact the Artificial Intelligence in Transportation market performance?
What are the key trends and dynamics?
Which regulations that will impact the industry?
Which segment will offer the most opportunity for growth between 2020 and 2027?
Where will most developments take place in the long term?
Who are the most prominent vendors and how much market share do they occupy?
What are the latest technologies or discoveries influencing the Artificial Intelligence in Transportation market growth worldwide?

Market Segments
The global Artificial Intelligence in Transportation market has been categorized based on the product type, application, and region. Our expert analysts undertake a thorough assessment of all of the segments included in the report and analyze them based on their market share, revenue, market growth rate, and other vital factors. The segmentation allows the interested parties to determine sectors in the global Artificial Intelligence in Transportation market with high growth prospects and understand the growth strategies adopted by leading segments during the forecast period.

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Some Key Highlights in the Report
In October 2020, Daimler Trucks entered into a partnership agreement with Waymo for deployment of autonomous SAE L4 technology. The partnership is intended to combine the automated driver technology of Waymo with a cutting-edge version of Freightliner Cascadia of Daimler for autonomous driving.
Signal recognition segment accounted for largest revenue share in 2020. Signal recognition and processing is used in intelligent transportation systems, which comprise technologies deployed in roadways and vehicles for management and enhancement of traffic flow. Signal recognition-based systems are used for detection of vehicles as they approach an intersection, thereby enabling traffic control systems to regulate traffic lights when needed.
Computer vision finds widespread use in traffic management systems. It aids in maintaining a steady traffic flow, leading to fewer congestions. Computer vision is also used in smart cities in the functioning of ambient light detectors in streetlights.
The Artificial Intelligence in transportation market in Asia Pacific is expected to register the fastest revenue growth rate as compared to other regional markets over the forecast period, owing to rapid growth of the transportation sector, rising sales of heavy commercial vehicles, and increasing use of AI in transportation, traffic management, and logistics.
Major companies operating in the Artificial Intelligence in transportation market include Daimler AG, Continental AG, Robert Bosch GmbH, VOLVO, PACCAR Inc., Magna International Inc., ZF Friedrichshafen AG, Scania AB, Valeo, and MAN SE.
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

Regional Outlook (Revenue: USD Billion; Volume: Million MT; 2017-2027)
North America
Europe
Asia Pacific
Latin America
MEA

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Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. Artificial Intelligence in Transportation Market Segmentation & Impact Analysis
Chapter 5. Artificial Intelligence in Transportation Market By Technology Insights & Trends, Revenue (USD Billion) (Million MT)
Chapter 6. Artificial Intelligence in Transportation Market By End-Use Verticals Insights & Trends Revenue (USD Billion) (Million MT)
Chapter 7. Artificial Intelligence in Transportation Market Regional Outlook
Continued…