The Artificial Intelligence in Transportation Market

The deep-learning concept is the major reason for adopting AI into transportation. Presently artificial intelligence is a vital aspect in the autonomous vehicle field. The way transports drive, work, think and learn is highly based on AI. The autonomous trucks and vehicles swiftly adopt artificial intelligence. There are various benefits of self-driving trucks. The few key drivers for the artificial intelligence in transportation market which are constantly increasing demand. The road accidents incidents are rising in several regions. Most of the on-road vehicles are causing these accidents. The rise in road accidents is surging the demand for AI in transportation. AI technology integrated in vehicles can save the driver from accidents. It can offer fast updates regarding roads and vital signs. AI alarms the user on accident-prone areas. The safety attributes of AI transportation are higher. The increased adoption of AI in cars can improve safety on roads. Moreover, the demand for the autonomous vehicle market is increasing highly. Autonomous cars are high end. Also, several users prefer these types of vehicles nowadays. AI is already installed in autonomous cars. From driving till vehicle maintenance, AI technology is important in autonomous vehicles. Since, the surging demand for autonomous vehicles is a vital factor for this market growth. Many autonomous vehicles utilize deep learning. Deep learning is integrated AI and machine learning. Autonomous vehicles can think, drive and learn with the help of AI. The huge demand for autonomous trucks is another propeller for this market. All these factors will result in artificial intelligence in transportation market expansion. Truck platooning will offer remarkable scope for this market. It is expected to be the prosperous segment of the market in upcoming years. The improvement in AI in the transportation market will increase truck platooning. Further, AI transportation will have various features in the upcoming years. It will allure new end users to the market. The incorporation of voice recognition, sensors, signal recognition and fusion will offer growth opportunities. The artificial intelligence in transportation market growth will be immense during the forecast period. Further, several governments are imposing strict laws concerning carbon emissions.

The artificial intelligence in transportation technology is an ideal solution. It is a technology which offers fuel efficiency and minimizes carbon emissions. The government stringent regulation will be favorable for the market growth. Additionally, the concerns about traffic are continuously increasing. The use of artificial intelligence in transportation offers efficient routes. The AI technology can direct the driver to routes which have less traffic. This remarkable range of AI transportation will create exceptional growth prospects.

The global Artificial Intelligence (AI) in Transportation Market is segregated on the basis of Application as HM in trucks, Autonomous trucks and Semi-autonomous trucks. Based on Offering the global Artificial Intelligence (AI) in Transportation Market is segmented in Hardware and Software. Based on Learning Technology the global Artificial Intelligence (AI) in Transportation Market is segmented in Natural language processing, Deep learning, Computer vision, Context-awareness. Based on Process the global Artificial Intelligence (AI) in Transportation Market is segmented in Signal recognition, Object recognition and Data Mining.

The global Artificial Intelligence (AI) in Transportation Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Artificial Intelligence (AI) in Transportation Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

NVIDIA, Alphabet, Continental, Magna, Man, Microsoft and others are among the major players in the global Artificial Intelligence (AI) in Transportation Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain. 

• In July 2020, Microsoft China declared strategic collaboration with Human Horizons, an innovative mobility company for developing together an on-board AI assistant, HiPhiGo, for Human Horizons’ exclusive smart all-electric vehicles, HiPhi. HiPhi1. The manufacture of the first product of the HiPhi brand will finish by 2020, and deliveries will begin by 2021.  
• In December 2019, Nvidia and DiDi Chuxing (DiDi), one of the world’s leading mobile transportation platform provider declared that DiDi acquired Nvidia GPUs and AI technology for creating autonomous driving and cloud computing solutions. 

The global Artificial Intelligence (AI) in Transportation Market has been segmented as below:

Artificial Intelligence (AI) in Transportation Market, By Application

• HM in trucks
• Autonomous trucks
• Semi-autonomous trucks

Artificial Intelligence (AI) in Transportation Market, By Offering

• Hardware
• Software

Artificial Intelligence (AI) in Transportation Market, By Learning Technology

• Natural language processing
• Deep learning
• Computer vision
• Context-awareness

Artificial Intelligence (AI) in Transportation Market, By Process

• Signal recognition
• Object recognition
• Data Mining

Artificial Intelligence (AI) in Transportation Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Artificial Intelligence (AI) in Transportation Market, By Company

• NVIDIA
• Alphabet
• Continental
• Magna
• Man
• Microsoft
• Nauto
• Paccar
• Peloton
• Valeo
• Xevo
• ZF
• Zonar
• Tier-I Suppliers
• Software Suppliers
• Start-Up’s
• IBM Corporation

The report covers the below scope:

• Global Artificial Intelligence (AI) in Transportation Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global Artificial Intelligence (AI) in Transportation Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Artificial Intelligence (AI) in Transportation Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Artificial Intelligence (AI) in Transportation Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Artificial Intelligence (AI) in Transportation Market share. Major industry players with significant revenue share include NVIDIA, Alphabet, Continental, Magna, Man, Microsoft and others.

Why to Buy this Report:

• Gain detailed insights on the Artificial Intelligence (AI) in Transportation industry trends
• Find complete analysis on the market status
• Identify the Artificial Intelligence (AI) in Transportation Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     Artificial Intelligence (AI) in Transportation Market, By Application

5.1.      Key Points

5.2.  HM in trucks

5.3.  Autonomous trucks

5.4.  Semi-autonomous trucks

6.    Artificial Intelligence (AI) in Transportation Market, By Offering

6.1.      Key Points

6.2. Hardware

6.3. Software

7.     Artificial Intelligence (AI) in Transportation Market, By Learning Technology

7.1.      Key Points

7.2.  Natural language processing

7.3.  Deep learning

7.4.  Computer vision

7.5.  Context-awareness

8.    Artificial Intelligence (AI) in Transportation Market, By Process

8.1.      Key Points

8.2. Signal recognition

8.3. Object recognition

8.4. Data Mining

9.    Competitive Landscape

9.1.      Introduction

9.2.     Start-up companies- Artificial Intelligence (AI) in Transportation Market

9.3.     Recent Developments

9.3.1.     Mergers & Acquisitions

9.3.2.    New Product Developments

9.3.3.    Portfolio/Production Capacity Expansions

9.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

9.3.5.     Others

10.            Company Profile

10.1.   NVIDIA

10.2.    Alphabet

10.3.    Continental

10.4.    Magna

10.5.    Man

10.6.    Microsoft

10.7.     Nauto

10.8.    Paccar

10.9.    Peloton

10.10.Valeo

10.11.  Xevo

10.12. ZF

10.13. Zonar

10.14. Tier-I Suppliers

10.15. Software Suppliers

10.16. Start-Up’s

10.17. IBM Corporation