Global Artificial Intelligence in Transportation Market

Global Artificial Intelligence in Transportation Market was valued at USD 1.85 billion in 2018 which is expected to reach USD 4.8 billion by 2030 at a CAGR 17.3%.

Artificial intelligence technology is the computer operated task which involves human intelligence such as solving complex problem solving, and decision making. Global artificial intelligence in transportation market is exponentially growing due to government rules and regulations for vehicle safety and security and implementation of enhanced driver assistance systems.

 

Market Drivers

Increase in technological advancements in transportation industry is expected to drive the global artificial intelligence in transportation market growth. For instance, in May 2019, Sweden had launched world’s first driverless truck called a T-Pod. T-Pod reduces the operating cost. Furthermore, increase in demand for convenience and safety is the opportunity for OEMs to develop artificial intelligence systems which is expected to propel the growth of global artificial intelligence in transportation market. Moreover, the development of autonomous vehicles for transportation will have the positive impact on growth of global artificial intelligence in transportation market.

 

Market Restraints

However, high cost of artificial intelligence systems and high infrastructure cost are the major challenges for the growth of artificial intelligence in transportation market. Also, machine learning is data driven and cyber security and data privacy will affect the global artificial intelligence in transportation market growth.

Market Segmentation

Global Artificial Intelligence in Transportation Market is segmented into offering such as Hardware, and Software, by technology such as Computer Vision, NLP, and Deep Learning. Further, Global Artificial Intelligence in Transportation Market is segmented into process such as Signal Recognition, and Data Mining.

Also, Global Artificial Intelligence in Transportation Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

Market Key Players

Various key players are discussed in this report such as Daimler, Scania, Paccar, Man, Volvo, Continental, Magna, Bosch, Valeo, and ZF.

Market Taxonomy

  • By Offering Hardware Software
  • By Technology Computer Vision NLP Deep Learning
  • By Process Signal Recognition Data Mining
  • By Region North America Latin America Europe Asia Pacific Middles East & Africa

 

Key Questions Addressed by the Report

  • What are the Key Opportunities in Artificial Intelligence in Transportation Market?
  • What will be the growth rate from 2019 to 2030?
  • Which segment/region will have highest growth?
  • What are the factors that will impact/drive the Market?
  • What is the competitive Landscape in the Industry?
  • What is the role of key players in the value chain?
  • What are the strategies adopted by key players?

Global Artificial Intelligence in Transportation Market

1. Executive Summary

1.1. Market Taxonomy

 

2. Global Artificial Intelligence in Transportation Market Demand (in Value or Size in US$ Mn) Analysis and Forecast

 

3.  Market Background

3.1. Forecast Factor

3.2. Market Dynamics

3.2.1. Drivers

3.2.2. Challenges

3.2.3. Trends

 

4. Global Artificial Intelligence in Transportation Market Snapshot

 

5. Global Artificial Intelligence in Transportation Market Analysis, By Offering

5.1. Y-o-Y Growth Comparison, By Offering

5.2. Global Artificial Intelligence in Transportation Market Share Analysis, By Offering

5.3. Global Artificial Intelligence in Transportation Market Size and Forecast, By Offering

5.3.1 Hardware

 5.3.2 Software

 

6. Global Artificial Intelligence in Transportation Market Analysis, By Technology

6.1. Y-o-Y Growth Comparison, By Technology

6.2. Global Artificial Intelligence in Transportation Market Share Analysis, By Technology

6.3. Global Artificial Intelligence in Transportation Market Size and Forecast, By Technology

 6.3.1 Computer Vision

   6.3.2 NLP

6.3.3Deep Learning

 

7. Global Artificial Intelligence in Transportation Market Analysis, By Process

7.1. Y-o-Y Growth Comparison, By Process

7.2. Global Artificial Intelligence in Transportation Market Share Analysis, By Process

7.3. Global Artificial Intelligence in Transportation Market Size and Forecast, By Process

  7.3.1Signal Recognition

  7.3.2 Data Mining

 

8. Global Artificial Intelligence in Transportation Market Analysis, By Region

8.1. Y-o-Y Growth Comparison, By Region

8.2. Global Artificial Intelligence in Transportation Market Share Analysis, By Region

 

9. North America Artificial Intelligence in Transportation Market Analysis and Forecast (2017-2030)

9.1 Introduction

9.2 North America Artificial Intelligence in Transportation Market Analysis, By Offering

9.3 North America Artificial Intelligence in Transportation Market Analysis, By Technology

9.4 North America Artificial Intelligence in Transportation Market Analysis, By Process

9.5 North America Artificial Intelligence in Transportation Market Analysis, By Country

9.5.1USA

9.5.2 Canada

9.5.3 Mexico

 

10. Europe Artificial Intelligence in Transportation Market Analysis and Forecast (2017-2030)

10.1 Introduction

10.2 Europe Artificial Intelligence in Transportation Market Analysis, By Offering

10.3 Europe Artificial Intelligence in Transportation Market Analysis, By Technology

10.4 Europe Artificial Intelligence in Transportation Market Analysis, By Process

10.5 Europe Artificial Intelligence in Transportation Market Analysis, By Country

10.5 .1Germany

10.5 .2 France

10.5 .3 UK

10.5 .4 Rest of Europe

 

11. Asia Pacific Artificial Intelligence in Transportation Market Analysis and Forecast (2017-2030)

11.1 Introduction

11.2 Asia Pacific Artificial Intelligence in Transportation Market Analysis, By Offering

11.3Asia Pacific Artificial Intelligence in Transportation Market Analysis, By Technology

11.3Asia Pacific Artificial Intelligence in Transportation Market Analysis, By Process

11.4 Asia Pacific Artificial Intelligence in Transportation Market Analysis, By Country

11.4.1China

11.4.2 India

11.4.3 Japan

11.4.4 Rest of Asia Pacific

 

12. Latin America Artificial Intelligence in Transportation Market Analysis and Forecast (2017-2030)

12.1 Introduction

12.2 Latin America Artificial Intelligence in Transportation Market Analysis, By Offering

12.3Latin America Artificial Intelligence in Transportation Market Analysis, By Technology

12.4Latin America Artificial Intelligence in Transportation Market Analysis, By Process

 

13. Middle East & Africa Artificial Intelligence in Transportation Market Analysis and Forecast (2017-2030)

13.1 Introduction

13.2 Middle East & Africa Artificial Intelligence in Transportation Market Analysis, By Offering

13.3Middle East & Africa Artificial Intelligence in Transportation Market Analysis, By Technology

13.4Middle East & Africa Artificial Intelligence in Transportation Market Analysis, By Process

 

14. Competition Analysis

14.1 Competition Dashboard

14.2Market Share Analysis of Top Vendors

14.3 Key Development Strategies

 

15. Company Profiles

15.1 Daimler

15.1.1 Overview

15.1.2  Offerings

15.1.3 Key Financial

15.1.4 Business Segment & Geographic Overview

15.1.5 Key Market Developments

 15.1.6 Key Strategies

15.2 Scania

15.3 Paccar

15.4 Man

15.5 Volvo

15.6 Continental

15.7 Magna

15.8 Bosch

15.9 Valeo

15.10 ZF