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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.

Furthermore, application of Porters Five Forces Analysis to determine the status of various aspects such as the capability of both the suppliers and customers, threats posed by different substitutes, the intensity of competition and promising new vendors makes the study a valuable resource. The researchers behind the market intelligence report examine the weaknesses, strengths, opportunities, and restraints expected to shape the progress of the Artificial Intelligence in Transportation market for the forecast period, 2020 to 2028. The market intelligence report includes detailed statistics on market segmentation based on product value, application, classification, and sale.

Research Methodology

Data triangulation and market breakdown

Research assumptions Research data including primary and secondary data

Primary data includes breakdown of primaries and key industry insights

Secondary data includes key data from secondary sources

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Scope of the report: Artificial Intelligence in Transportation Market

The study finds that how on certain account threats and challenges can act as a roadblock for the business. A thorough evaluation of the Artificial Intelligence in Transportation market in the light of macro-environment such as social, political, economical as well as technological environment add granularity to the overall research. In addition, the study produces real-time data on vital aspects including sales, profits, gross margin and growth prospects to show how going forward the business will witness a substantial upswing.  

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.

You Can Download Free Sample PDF Copy of Artificial Intelligence in Transportation Market at https://www.emergenresearch.com/request-sample/540

Important Points Mentioned in the Artificial Intelligence in Transportation Market Study

Manufacturing Analysis: The report initially analyzes the various segments of the market in a brief manner, which includes product types, applications, and so on. Further, the report consists of a separate section wherein an in-depth analysis of the manufacturing process has been provided which has been verified thorough primary information collected by experts of reputed industries as well as the industry analysts.

Sales and Revenue Estimation: By applying several top-down and bottom-up approaches on the previous years’ sales and revenue data as well as the present market scenario, the analysts have anticipated the market growth and size in major geographies. The report further includes an all-inclusive study on the applications and end-user industries participating in the market. Furthermore, the report provides crucial data on the regulatory policies and guidelines, as well as the macro-economic factors, that determine the evolution of the market along with predictive analysis.

Demand & Supply Assessment: The report further offers key information on the manufacturing and cost analysis, consumption ration, import/export factors, and product and service distribution.

Competitiveness: The report provides crucial data based on the company profile, product portfolio, product and service cost, potential, and sales and revenue generated by the key pioneers and other leading companies.

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Emergen Research has segmented the global Artificial Intelligence in transportation market in terms of process, learning technology, application, and region:

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 scope: – North America; Europe; Asia Pacific; Central & South America; MEA

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 2028?

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?  

Subject matter experts conducting the study also take a closer look at the products at their development stage and in the pipeline to help business owners conclude on the business strategies that can lower their cost and promise great returns or profits. Strong emphasis on new launches, acquisition and mergers, collaboration, import and export status and supply chain management empowers the business evangelists, manufacturers and business owners build a robust strategy when it comes to making an investment.

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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, 2019-2028

Chapter 3. Key Insights

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

    4.1. Artificial Intelligence in Transportation Market Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers analysis

                    4.2.2.1. The rising tissue engineering market

                    4.2.2.2. Increasing developments in nanotechnology

                    4.2.2.3. Increasing aging population

                    4.2.2.4. Growing investment in research

          4.2.3. Market restraints analysis

                    4.2.3.1. Strict medical standards

                    4.2.3.2. Stringent regulatory guidelines

    4.3. Technological Insights

    4.4. Regulatory Framework

    4.5. Porter’s Five Forces Analysis

    4.6. Competitive Metric Space Analysis

    4.7. Price trend Analysis

    4.8. Covid-19 Impact Analysis

Chapter 5. Artificial Intelligence in Transportation Market By Products Insights & Trends, Revenue (USD Million), Volume (Kilo Tons)

Chapter 6. Artificial Intelligence in Transportation Market By Types Insights & Trends, Revenue (USD Million), Volume (Kilo Tons)

Chapter 7. Artificial Intelligence in Transportation Market By Applications Insights & Trends Revenue (USD Million), Volume (Kilo Tons)

Chapter 8. Artificial Intelligence in Transportation Market By End Use Insights & Trends Revenue (USD Million), Volume (Kilo Tons)

Chapter 9. Artificial Intelligence in Transportation Market Regional Outlook

Chapter 10. Competitive Landscape

Continued…

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