Artificial Intelligence in Transportation Market Top Key Players, Global Trend, Opportunities & Forecast 2020 - 2027

Posted on Mar 10 2021 1:19 PM

"Artificial Intelligence in Transportation market size was valued at USD 1,978.0 Million in 2020 and is expected to expand at a CAGR of 17.2% from 2020 to 2027. "

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.

The research methodologies used for evaluating the Artificial Intelligence in Transportation market are inventive and also provides enough evidence on the demand and supply status, production capability, import and export, supply chain management and investment feasibility.

The North America Artificial Intelligence in Transportation accounted for largest revenue share in the global Artificial Intelligence in Transportation market in 2020, which can be attributed to rising incidence of cancer, particularly among the elderly population. Furthermore, presence of major Artificial Intelligence in Transportation firms and rising investments in cancer immunotherapy is a major factor driving growth of the market in the region.

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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?

The research takes a closer look at prominent factors driving the growth rate of the prominent product categories across major geography. Furthermore, the study covers a lot of the sales, gross margin, consumption capacity, spending power and customer preference across various countries. The report offers clear indications how the Artificial Intelligence in Transportation market is expected to witness numerous exciting opportunities in the years to come. Critical aspects including the growing requirement, demand and supply status, customer preference, distribution channels and others are presented through resources such as charts, tables, and infographics.  

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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; 2021–2028)

North America

Europe

Asia Pacific

Latin America

Middle East & Africa

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Report Objectives

Examine the size of Artificial Intelligence in Transportation market based on the parameters of value and volume.

Accurately calculate the market shares, consumption, and other essential aspects of different segments of Artificial Intelligence in Transportation market.Explore the underlying dynamics of Artificial Intelligence in Transportation market.

Highlight significant trends of Artificial Intelligence in Transportation market based on factors including, production, revenue, and sales.

Extensively profile top players of Artificial Intelligence in Transportation market and showing how they compete in the industry.

Study manufacturing processes and the costs, product pricing, and various trends associated with them.

Analyze the performance of different regions and countries in Artificial Intelligence in Transportation market.

Forecast the market size and share of all segments and regions in the global landscape.

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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, 2020-2028

Chapter 3. Key Insights

Chapter 4. Artificial Intelligence in Transportation Market Segmentation & Impact Analysis

Chapter 5. Artificial Intelligence in Transportation Market By Application Insights & Trends, Revenue (USD Billion)

Chapter 6. Artificial Intelligence in Transportation Market By Sensor Type Insights & Trends Revenue (USD Billion)

Chapter 7. Artificial Intelligence in Transportation Market By Network Technology Insights & Trends, Revenue (USD Billion)

Continued…