Artificial Intelligence in Transportation Market – Global Industry Analysis and Forecast (2019-2026) _ by Offering (Hardware and Software), by Machine Learning Technology (Deep Learning, NLP and Others), by Process (Signal Recognition and Others), by Application, by End User and by Geography


Artificial Intelligence in Transportation Market is expected to reach USD 6.6 Billion by 2026 from XX Billion in 2018 at a CAGR XX %.

The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region.

Artificial Intelligence in Transportation Market

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Enhanced systems are used in the transportation sector to provide real-time data along with providing more support to avoid unwanted accidents thereby boosting overall demand for artificial intelligence in the transportation sector. Factors such as growing demand for safety & security and increasing focus towards reducing the operating cost of transportation are responsible for the continuous growth of artificial intelligence market for transportation.

On the basis of machine learning technology, deep learning technology is widely used in an autonomous segment to drive, see, think, analyze and take decisions for autonomous vehicles. By application, the main focus of the Artificial Intelligence in Transportation Market is on manufacturing fully autonomous trucks.

Companies such as Scania, Volvo, and Daimler are developing and testing few fully autonomous trucks having features such as image processing, self-driving, speech recognition, and data analysis. Truck platooning is another key emerging segment. Technologies such as sensor fusion, forward collision warning, signal recognition and lane further assists and act as key drivers for truck platooning. The high cost of artificial intelligence systems, infrastructure development cost and a high cost of the advanced feature such as adaptive cruise control, blind spot detection, lane assistance, and collision warming system are some major restraints for global market affecting overall growth.

North America is projected to be the largest market for artificial intelligence in the transportation market. Rising government regulation to reduce the number of accidents in the transportation sector along with growing demand for automated control vehicles has positively affected the demand for artificial intelligence in the transportation market within North America. The Asia Pacific is expected to monitor one of the fastest growth globally with factors such as the increase in demand for automated vehicles along with rising in a number of causalities leading the government to put stringent regulations are a few major factors boosting overall growth of artificial intelligence in the transportation market.

Artificial Intelligence in Transportation Market, Key Highlights:

• Artificial Intelligence in Transportation Market analysis and forecast, in terms of volume and value.
• Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Artificial Intelligence in Transportation Market.
• Artificial Intelligence in Transportation Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided.
• Artificial Intelligence in Transportation Market strategic analysis with respect to individual growth trends, future prospects along with the contribution of various sub-market stakeholders have been considered under the scope of the study.
• Artificial Intelligence in Transportation Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.
• Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.
• Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Artificial Intelligence in Transportation market are also profiled.

Artificial Intelligence in Transportation Market,Research Methodology:

Bloomberg, Factiva, and Hoovers are some of the sites that are being referred to gain insights about Artificial Intelligence in the Transportation market. Experts from top manufacturing companies along with other stakeholders have been considered. This is done to validate and collect critical information for evaluating trends related to this market during the forecast period. Top-down and bottom-up approaches have been used to estimate the global and regional size of this market. Data triangulation techniques along with other comparative analysis are also used to calculate the exact size of the Artificial Intelligence in Transportation market globally.

Some of the major players including original equipment manufacturers (OEMs), tier-1 suppliers, and software suppliers operating in the Artificial Intelligence in Transportation market are as follows:

• Continental (Germany)
• Bosch (Germany)
• NVIDIA (US)
• Microsoft (US)
• Volvo (Sweden)
• Daimler (Germany)
• Scania (Sweden)
• Paccar (US)
• Man (Germany)
• Valeo (France)

Artificial Intelligence in Transportation Market, Key Target Audience

• Artificial intelligence hardware and software suppliers
• Automotive OEMs
• Industry associations and connected vehicle systems manufacturers
• Artificial intelligence service or solution providers
• Government’s national and regional environmental regulatory agencies or organizations
• The automobile industry and related end-user industries

Scope of the Artificial Intelligence in Transportation Market: Inquire before buying

This research report segments the artificial intelligence in the transportation market based on application, offering, machine learning technology, process, and geography.

Artificial Intelligence in Transportation Market, By Application :

• Autonomous Trucks
• HMI In Trucks
• Semi-Autonomous Trucks

Artificial Intelligence in Transportation Market, By Offering :

• Hardware
• Software

Artificial Intelligence in Transportation Market, By Machine Learning Technology :

• Deep Learning
• Computer Vision
• Context Awareness
• Natural Language Processing (NLP)

Artificial Intelligence in Transportation Market, By Process :

• Signal Recognition
• Object Recognition
• Data Mining

Artificial Intelligence in Transportation Market, By Geography:

• North America
• Europe
• Asia Pacific
• Middle East & Africa
• Latin America

Artificial Intelligence in Transportation Market, Regional Analysis:

• Breakdown of The North America Artificial Intelligence In Transportation Market
• Breakdown of The Europe Artificial Intelligence In Transportation Market
• Breakdown of The Asia Pacific Artificial Intelligence In Transportation Market
• Breakdown of The Middle East & Africa Artificial Intelligence In Transportation Market
• Breakdown of The Latin America Artificial Intelligence In Transportation Market

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Global Artificial Intelligence in Transportation Market

1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives

2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources

3. Executive Summary: Global Artificial Intelligence in Transportation Market Size, by Market Value (US$ Mn)

4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Industry Trends In Global Artificial Intelligence in Transportation Market

5. Supply Side and Demand Side Indicators

6. Global Artificial Intelligence in Transportation Market Analysis and Forecast
6.1. Global Artificial Intelligence in Transportation Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America

7. Global Artificial Intelligence in Transportation Market Analysis and Forecast, By Offering
7.1. Introduction and Definition
7.2. Key Findings
7.3. Global Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
7.4. Global Artificial Intelligence in Transportation Market Size (US$ Mn) Forecast, By Offering
7.5. Global Artificial Intelligence in Transportation Market Analysis, By Offering
7.6. Global Artificial Intelligence in Transportation Market Attractiveness Analysis, By Offering

8. Global Artificial Intelligence in Transportation Market Analysis and Forecast, By Machine Learning Technology
8.1. Introduction and Definition
8.2. Key Findings
8.3. Global Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
8.4. Global Artificial Intelligence in Transportation Market Size (US$ Mn) Forecast, By Machine Learning Technology
8.5. Global Artificial Intelligence in Transportation Market Analysis, By Machine Learning Technology
8.6. Global Artificial Intelligence in Transportation Market Attractiveness Analysis, By Machine Learning Technology

9. Global Artificial Intelligence in Transportation Market Analysis and Forecast, By Process
9.1. Introduction and Definition
9.2. Key Findings
9.3. Global Artificial Intelligence in Transportation Market Value Share Analysis, By Process
9.4. Global Artificial Intelligence in Transportation Market Size (US$ Mn) Forecast, By Process
9.5. Global Artificial Intelligence in Transportation Market Analysis, By Process
9.6. Global Artificial Intelligence in Transportation Market Attractiveness Analysis, By Process

10. Global Artificial Intelligence in Transportation Market Analysis and Forecast, by Application
10.1. Introduction and Definition
10.2. Key Findings
10.3. Global Artificial Intelligence in Transportation Market Value Share Analysis, by Application
10.4. Global Artificial Intelligence in Transportation Market Size (US$ Mn) Forecast, by Application
10.5. Global Artificial Intelligence in Transportation Market Analysis, by Application
10.6. Global Artificial Intelligence in Transportation Market Attractiveness Analysis, by Application

11. Global Artificial Intelligence in Transportation Market Analysis, by Region
11.1. Global Artificial Intelligence in Transportation Market Value Share Analysis, by Region
11.2. Global Artificial Intelligence in Transportation Market Size (US$ Mn) Forecast, by Region
11.3. Global Artificial Intelligence in Transportation Market Attractiveness Analysis, by Region

12. North America Artificial Intelligence in Transportation Market Analysis
12.1. Key Findings
12.2. North America Artificial Intelligence in Transportation Market Overview
12.3. North America Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
12.4. North America Artificial Intelligence in Transportation Market Forecast, By Offering
12.4.1. Hardware
12.4.2. Software
12.5. North America Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
12.6. North America Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
12.6.1. Deep Learning
12.6.2. Computer Vision
12.6.3. Context Awareness
12.6.4. Natural Language Processing (NLP)
12.7. North America Artificial Intelligence in Transportation Market Value Share Analysis, By Process
12.8. North America Artificial Intelligence in Transportation Market Forecast, By Process
12.8.1. Signal Recognition
12.8.2. Object Recognition
12.8.3. Data Mining
12.9. North America Artificial Intelligence in Transportation Market Value Share Analysis, by Application
12.10. North America Artificial Intelligence in Transportation Market Forecast, by Application
12.10.1. Autonomous Trucks
12.10.2. HMI In Trucks
12.10.3. Semi-Autonomous Trucks
12.11. North America Artificial Intelligence in Transportation Market Value Share Analysis, by Country
12.12. North America Artificial Intelligence in Transportation Market Forecast, by Country
12.12.1. U.S.
12.12.2. Canada
12.13. North America Artificial Intelligence in Transportation Market Analysis, by Country
12.14. U.S. Artificial Intelligence in Transportation Market Forecast, By Offering
12.14.1. Hardware
12.14.2. Software
12.15. U.S. Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
12.15.1. Deep Learning
12.15.2. Computer Vision
12.15.3. Context Awareness
12.15.4. Natural Language Processing (NLP)
12.16. U.S. Artificial Intelligence in Transportation Market Forecast, By Process
12.16.1. Signal Recognition
12.16.2. Object Recognition
12.16.3. Data Mining
12.17. U.S. Artificial Intelligence in Transportation Market Forecast, by Application
12.17.1. Autonomous Trucks
12.17.2. HMI In Trucks
12.17.3. Semi-Autonomous Trucks
12.18. Canada Artificial Intelligence in Transportation Market Forecast, By Offering
12.18.1. Hardware
12.18.2. Software
12.19. Canada Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
12.19.1. Deep Learning
12.19.2. Computer Vision
12.19.3. Context Awareness
12.19.4. Natural Language Processing (NLP)
12.20. Canada Artificial Intelligence in Transportation Market Forecast, By Process
12.20.1. Signal Recognition
12.20.2. Object Recognition
12.20.3. Data Mining
12.21. Canada Artificial Intelligence in Transportation Market Forecast, by Application
12.21.1. Autonomous Trucks
12.21.2. HMI In Trucks
12.21.3. Semi-Autonomous Trucks
12.22. North America Artificial Intelligence in Transportation Market Attractiveness Analysis
12.22.1. By Offering
12.22.2. By Machine Learning Technology
12.22.3. By Process
12.22.4. By Application
12.23. PEST Analysis
12.24. Key Trends
12.25. Key Developments

13. Europe Artificial Intelligence in Transportation Market Analysis
13.1. Key Findings
13.2. Europe Artificial Intelligence in Transportation Market Overview
13.3. Europe Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
13.4. Europe Artificial Intelligence in Transportation Market Forecast, By Offering
13.4.1. Hardware
13.4.2. Software
13.5. Europe Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
13.6. Europe Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.6.1. Deep Learning
13.6.2. Computer Vision
13.6.3. Context Awareness
13.6.4. Natural Language Processing (NLP)
13.7. Europe Artificial Intelligence in Transportation Market Value Share Analysis, By Process
13.8. Europe Artificial Intelligence in Transportation Market Forecast, By Process
13.8.1. Signal Recognition
13.8.2. Object Recognition
13.8.3. Data Mining
13.9. Europe Artificial Intelligence in Transportation Market Value Share Analysis, by Application
13.10. Europe Artificial Intelligence in Transportation Market Forecast, by Application
13.10.1. Autonomous Trucks
13.10.2. HMI In Trucks
13.10.3. Semi-Autonomous Trucks
13.11. Europe Artificial Intelligence in Transportation Market Value Share Analysis, by Country
13.12. Europe Artificial Intelligence in Transportation Market Forecast, by Country
13.12.1. Germany
13.12.2. U.K.
13.12.3. France
13.12.4. Italy
13.12.5. Spain
13.12.6. Rest of Europe
13.13. Europe Artificial Intelligence in Transportation Market Analysis, by Country
13.14. Germany Artificial Intelligence in Transportation Market Forecast, By Offering
13.14.1. Hardware
13.14.2. Software
13.15. Germany Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.15.1. Deep Learning
13.15.2. Computer Vision
13.15.3. Context Awareness
13.15.4. Natural Language Processing (NLP)
13.16. Germany Artificial Intelligence in Transportation Market Forecast, By Process
13.16.1. Signal Recognition
13.16.2. Object Recognition
13.16.3. Data Mining
13.17. Germany Artificial Intelligence in Transportation Market Forecast, by Application
13.17.1. Autonomous Trucks
13.17.2. HMI In Trucks
13.17.3. Semi-Autonomous Trucks
13.18. U.K. Artificial Intelligence in Transportation Market Forecast, By Offering
13.18.1. Hardware
13.18.2. Software
13.19. U.K. Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.19.1. Deep Learning
13.19.2. Computer Vision
13.19.3. Context Awareness
13.19.4. Natural Language Processing (NLP)
13.20. U.K. Artificial Intelligence in Transportation Market Forecast, By Process
13.20.1. Signal Recognition
13.20.2. Object Recognition
13.20.3. Data Mining
13.21. U.K. Artificial Intelligence in Transportation Market Forecast, by Application
13.21.1. Autonomous Trucks
13.21.2. HMI In Trucks
13.21.3. Semi-Autonomous Trucks
13.22. France Artificial Intelligence in Transportation Market Forecast, By Offering
13.22.1. Hardware
13.22.2. Software
13.23. France Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.23.1. Deep Learning
13.23.2. Computer Vision
13.23.3. Context Awareness
13.23.4. Natural Language Processing (NLP)
13.24. France Artificial Intelligence in Transportation Market Forecast, By Process
13.24.1. Signal Recognition
13.24.2. Object Recognition
13.24.3. Data Mining
13.25. France Artificial Intelligence in Transportation Market Forecast, by Application
13.25.1. Autonomous Trucks
13.25.2. HMI In Trucks
13.25.3. Semi-Autonomous Trucks
13.26. Italy Artificial Intelligence in Transportation Market Forecast, By Offering
13.26.1. Hardware
13.26.2. Software
13.27. Italy Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.27.1. Deep Learning
13.27.2. Computer Vision
13.27.3. Context Awareness
13.27.4. Natural Language Processing (NLP)
13.28. Italy Artificial Intelligence in Transportation Market Forecast, By Process
13.28.1. Signal Recognition
13.28.2. Object Recognition
13.28.3. Data Mining
13.29. Italy Artificial Intelligence in Transportation Market Forecast, by Application
13.29.1. Autonomous Trucks
13.29.2. HMI In Trucks
13.29.3. Semi-Autonomous Trucks
13.30. Spain Artificial Intelligence in Transportation Market Forecast, By Offering
13.30.1. Hardware
13.30.2. Software
13.31. Spain Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.31.1. Deep Learning
13.31.2. Computer Vision
13.31.3. Context Awareness
13.31.4. Natural Language Processing (NLP)
13.32. Spain Artificial Intelligence in Transportation Market Forecast, By Process
13.32.1. Signal Recognition
13.32.2. Object Recognition
13.32.3. Data Mining
13.33. Spain Artificial Intelligence in Transportation Market Forecast, by Application
13.33.1. Autonomous Trucks
13.33.2. HMI In Trucks
13.33.3. Semi-Autonomous Trucks
13.34. Rest of Europe Artificial Intelligence in Transportation Market Forecast, By Offering
13.34.1. Hardware
13.34.2. Software
13.35. Rest of Europe Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
13.35.1. Deep Learning
13.35.2. Computer Vision
13.35.3. Context Awareness
13.35.4. Natural Language Processing (NLP)
13.36. Rest of Europe Artificial Intelligence in Transportation Market Forecast, By Process
13.36.1. Signal Recognition
13.36.2. Object Recognition
13.36.3. Data Mining
13.37. Rest Of Europe Artificial Intelligence in Transportation Market Forecast, by Application
13.37.1. Autonomous Trucks
13.37.2. HMI In Trucks
13.37.3. Semi-Autonomous Trucks
13.38. Europe Artificial Intelligence in Transportation Market Attractiveness Analysis
13.38.1. By Offering
13.38.2. By Machine Learning Technology
13.38.3. By Process
13.38.4. By Application
13.39. PEST Analysis
13.40. Key Trends
13.41. Key Developments

14. Asia Pacific Artificial Intelligence in Transportation Market Analysis
14.1. Key Findings
14.2. Asia Pacific Artificial Intelligence in Transportation Market Overview
14.3. Asia Pacific Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
14.4. Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Offering
14.4.1. Hardware
14.4.2. Software
14.5. Asia Pacific Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
14.6. Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.6.1. Deep Learning
14.6.2. Computer Vision
14.6.3. Context Awareness
14.6.4. Natural Language Processing (NLP)
14.7. Asia Pacific Artificial Intelligence in Transportation Market Value Share Analysis, By Process
14.8. Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Process
14.8.1. Signal Recognition
14.8.2. Object Recognition
14.8.3. Data Mining
14.9. Asia Pacific Artificial Intelligence in Transportation Market Value Share Analysis, by Application
14.10. Asia Pacific Artificial Intelligence in Transportation Market Forecast, by Application
14.10.1. Autonomous Trucks
14.10.2. HMI In Trucks
14.10.3. Semi-Autonomous Trucks
14.11. Asia Pacific Artificial Intelligence in Transportation Market Value Share Analysis, by Country
14.12. Asia Pacific Artificial Intelligence in Transportation Market Forecast, by Country
14.12.1. China
14.12.2. India
14.12.3. Japan
14.12.4. ASEAN
14.12.5. Rest of Asia Pacific
14.13. Asia Pacific Artificial Intelligence in Transportation Market Analysis, by Country
14.14. China Artificial Intelligence in Transportation Market Forecast, By Offering
14.14.1. Hardware
14.14.2. Software
14.15. China Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.15.1. Deep Learning
14.15.2. Computer Vision
14.15.3. Context Awareness
14.15.4. Natural Language Processing (NLP)
14.16. China Artificial Intelligence in Transportation Market Forecast, By Process
14.16.1. Signal Recognition
14.16.2. Object Recognition
14.16.3. Data Mining
14.17. China Artificial Intelligence in Transportation Market Forecast, by Application
14.17.1. Autonomous Trucks
14.17.2. HMI In Trucks
14.17.3. Semi-Autonomous Trucks
14.18. India Artificial Intelligence in Transportation Market Forecast, By Offering
14.18.1. Hardware
14.18.2. Software
14.19. India Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.19.1. Deep Learning
14.19.2. Computer Vision
14.19.3. Context Awareness
14.19.4. Natural Language Processing (NLP)
14.20. India Artificial Intelligence in Transportation Market Forecast, By Process
14.20.1. Signal Recognition
14.20.2. Object Recognition
14.20.3. Data Mining
14.21. India Artificial Intelligence in Transportation Market Forecast, by Application
14.21.1. Autonomous Trucks
14.21.2. HMI In Trucks
14.21.3. Semi-Autonomous Trucks
14.22. Japan Artificial Intelligence in Transportation Market Forecast, By Offering
14.22.1. Hardware
14.22.2. Software
14.23. Japan Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.23.1. Deep Learning
14.23.2. Computer Vision
14.23.3. Context Awareness
14.23.4. Natural Language Processing (NLP)
14.24. Japan Artificial Intelligence in Transportation Market Forecast, By Process
14.24.1. Signal Recognition
14.24.2. Object Recognition
14.24.3. Data Mining
14.25. Japan Artificial Intelligence in Transportation Market Forecast, by Application
14.25.1. Autonomous Trucks
14.25.2. HMI In Trucks
14.25.3. Semi-Autonomous Trucks
14.26. ASEAN Artificial Intelligence in Transportation Market Forecast, By Offering
14.26.1. Hardware
14.26.2. Software
14.27. ASEAN Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.27.1. Deep Learning
14.27.2. Computer Vision
14.27.3. Context Awareness
14.27.4. Natural Language Processing (NLP)
14.28. ASEAN Artificial Intelligence in Transportation Market Forecast, By Process
14.28.1. Signal Recognition
14.28.2. Object Recognition
14.28.3. Data Mining
14.29. ASEAN Artificial Intelligence in Transportation Market Forecast, by Application
14.29.1. Autonomous Trucks
14.29.2. HMI In Trucks
14.29.3. Semi-Autonomous Trucks
14.30. Rest of Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Offering
14.30.1. Hardware
14.30.2. Software
14.31. Rest of Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
14.31.1. Deep Learning
14.31.2. Computer Vision
14.31.3. Context Awareness
14.31.4. Natural Language Processing (NLP)
14.32. Rest of Asia Pacific Artificial Intelligence in Transportation Market Forecast, By Process
14.32.1. Signal Recognition
14.32.2. Object Recognition
14.32.3. Data Mining
14.33. Rest of Asia Pacific Artificial Intelligence in Transportation Market Forecast, by Application
14.33.1. Autonomous Trucks
14.33.2. HMI In Trucks
14.33.3. Semi-Autonomous Trucks
14.34. Asia Pacific Artificial Intelligence in Transportation Market Attractiveness Analysis
14.34.1. By Offering
14.34.2. By Machine Learning Technology
14.34.3. By Process
14.34.4. By Application
14.35. PEST Analysis
14.36. Key Trends
14.37. Key Developments

15. Middle East & Africa Artificial Intelligence in Transportation Market Analysis
15.1. Key Findings
15.2. Middle East & Africa Artificial Intelligence in Transportation Market Overview
15.3. Middle East & Africa Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
15.4. Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Offering
15.4.1. Hardware
15.4.2. Software
15.5. Middle East & Africa Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
15.6. Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
15.6.1. Deep Learning
15.6.2. Computer Vision
15.6.3. Context Awareness
15.6.4. Natural Language Processing (NLP)
15.7. Middle East & Africa Artificial Intelligence in Transportation Market Value Share Analysis, By Process
15.8. Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Process
15.8.1. Signal Recognition
15.8.2. Object Recognition
15.8.3. Data Mining
15.9. Middle East & Africa Artificial Intelligence in Transportation Market Value Share Analysis, by Application
15.10. Middle East & Africa Artificial Intelligence in Transportation Market Forecast, by Application
15.10.1. Autonomous Trucks
15.10.2. HMI In Trucks
15.10.3. Semi-Autonomous Trucks
15.11. Middle East & Africa Artificial Intelligence in Transportation Market Value Share Analysis, by Country
15.12. Middle East & Africa Artificial Intelligence in Transportation Market Forecast, by Country
15.12.1. GCC
15.12.2. South Africa
15.12.3. Rest of Middle East & Africa
15.13. Middle East & Africa Artificial Intelligence in Transportation Market Analysis, by Country
15.14. GCC Artificial Intelligence in Transportation Market Forecast, By Offering
15.14.1. Hardware
15.14.2. Software
15.15. GCC Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
15.15.1. Deep Learning
15.15.2. Computer Vision
15.15.3. Context Awareness
15.15.4. Natural Language Processing (NLP)
15.16. GCC Artificial Intelligence in Transportation Market Forecast, By Process
15.16.1. Signal Recognition
15.16.2. Object Recognition
15.16.3. Data Mining
15.17. GCC Artificial Intelligence in Transportation Market Forecast, by Application
15.17.1. Autonomous Trucks
15.17.2. HMI In Trucks
15.17.3. Semi-Autonomous Trucks
15.18. South Africa Artificial Intelligence in Transportation Market Forecast, By Offering
15.18.1. Hardware
15.18.2. Software
15.19. South Africa Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
15.19.1. Deep Learning
15.19.2. Computer Vision
15.19.3. Context Awareness
15.19.4. Natural Language Processing (NLP)
15.20. South Africa Artificial Intelligence in Transportation Market Forecast, By Process
15.20.1. Signal Recognition
15.20.2. Object Recognition
15.20.3. Data Mining
15.21. South Africa Artificial Intelligence in Transportation Market Forecast, by Application
15.21.1. Autonomous Trucks
15.21.2. HMI In Trucks
15.21.3. Semi-Autonomous Trucks
15.22. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Offering
15.22.1. Hardware
15.22.2. Software
15.23. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
15.23.1. Deep Learning
15.23.2. Computer Vision
15.23.3. Context Awareness
15.23.4. Natural Language Processing (NLP)
15.24. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Forecast, By Process
15.24.1. Signal Recognition
15.24.2. Object Recognition
15.24.3. Data Mining
15.25. Rest of Middle East & Africa Artificial Intelligence in Transportation Market Forecast, by Application
15.25.1. Autonomous Trucks
15.25.2. HMI In Trucks
15.25.3. Semi-Autonomous Trucks
15.26. Middle East & Africa Artificial Intelligence in Transportation Market Attractiveness Analysis
15.26.1. By Offering
15.26.2. By Machine Learning Technology
15.26.3. By Process
15.26.4. By Application
15.27. PEST Analysis
15.28. Key Trends
15.29. Key Developments

16. South America Artificial Intelligence in Transportation Market Analysis
16.1. Key Findings
16.2. South America Artificial Intelligence in Transportation Market Overview
16.3. South America Artificial Intelligence in Transportation Market Value Share Analysis, By Offering
16.4. South America Artificial Intelligence in Transportation Market Forecast, By Offering
16.4.1. Hardware
16.4.2. Software
16.5. South America Artificial Intelligence in Transportation Market Value Share Analysis, By Machine Learning Technology
16.6. South America Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
16.6.1. Deep Learning
16.6.2. Computer Vision
16.6.3. Context Awareness
16.6.4. Natural Language Processing (NLP)
16.7. South America Artificial Intelligence in Transportation Market Value Share Analysis, By Process
16.8. South America Artificial Intelligence in Transportation Market Forecast, By Process
16.8.1. Signal Recognition
16.8.2. Object Recognition
16.8.3. Data Mining
16.9. South America Artificial Intelligence in Transportation Market Value Share Analysis, by Application
16.10. South America Artificial Intelligence in Transportation Market Forecast, by Application
16.10.1. Autonomous Trucks
16.10.2. HMI In Trucks
16.10.3. Semi-Autonomous Trucks

16.11. South America Artificial Intelligence in Transportation Market Value Share Analysis, by Country
16.12. South America Artificial Intelligence in Transportation Market Forecast, by Country
16.12.1. Brazil
16.12.2. Mexico
16.12.3. Rest of South America
16.13. South America Artificial Intelligence in Transportation Market Analysis, by Country
16.14. Brazil Artificial Intelligence in Transportation Market Forecast, By Offering
16.14.1. Hardware
16.14.2. Software
16.15. Brazil Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
16.15.1. Deep Learning
16.15.2. Computer Vision
16.15.3. Context Awareness
16.15.4. Natural Language Processing (NLP)
16.16. Brazil Artificial Intelligence in Transportation Market Forecast, By Process
16.16.1. Signal Recognition
16.16.2. Object Recognition
16.16.3. Data Mining
16.17. Brazil Artificial Intelligence in Transportation Market Forecast, by Application
16.17.1. Autonomous Trucks
16.17.2. HMI In Trucks
16.17.3. Semi-Autonomous Trucks
16.18. Mexico Artificial Intelligence in Transportation Market Forecast, By Offering
16.18.1. Hardware
16.18.2. Software
16.19. Mexico Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
16.19.1. Deep Learning
16.19.2. Computer Vision
16.19.3. Context Awareness
16.19.4. Natural Language Processing (NLP)
16.20. Mexico Artificial Intelligence in Transportation Market Forecast, By Process
16.20.1. Signal Recognition
16.20.2. Object Recognition
16.20.3. Data Mining
16.21. Mexico Artificial Intelligence in Transportation Market Forecast, by Application
16.21.1. Autonomous Trucks
16.21.2. HMI In Trucks
16.21.3. Semi-Autonomous Trucks
16.22. Rest of South America Artificial Intelligence in Transportation Market Forecast, By Offering
16.22.1. Hardware
16.22.2. Software
16.23. Rest of South America Artificial Intelligence in Transportation Market Forecast, By Machine Learning Technology
16.23.1. Deep Learning
16.23.2. Computer Vision
16.23.3. Context Awareness
16.23.4. Natural Language Processing (NLP)
16.24. Rest of South America Artificial Intelligence in Transportation Market Forecast, By Process
16.24.1. Signal Recognition
16.24.2. Object Recognition
16.24.3. Data Mining
16.25. Rest of South America Artificial Intelligence in Transportation Market Forecast, by Application
16.25.1. Autonomous Trucks
16.25.2. HMI In Trucks
16.25.3. Semi-Autonomous Trucks
16.26. South America Artificial Intelligence in Transportation Market Attractiveness Analysis
16.26.1. By Offering
16.26.2. By Machine Learning Technology
16.26.3. By Process
16.26.4. By Application
16.27. PEST Analysis
16.28. Key Trends
16.29. Key Developments

17. Company Profiles
17.1. Market Share Analysis, by Company
17.2. Competition Matrix
17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment
17.2.2. New Product Launches and Product Enhancements
17.2.3. Market Consolidation
17.2.3.1. M&A by Regions, Investment and Applications
17.2.3.2. M&A Key Players, Forward Integration and Backward
Integration
17.3. Company Profiles: Key Players
17.3.1. Continental
17.3.1.1. Company Overview
17.3.1.2. Financial Overview
17.3.1.3. Portfolio
17.3.1.4. Business Strategy
17.3.1.5. Recent Developments
17.3.1.6. Developing Footprint
17.3.2. Bosch
17.3.3. NVIDIA
17.3.4. Microsoft
17.3.5. Volvo
17.3.6. Daimler
17.3.7. Scania
17.3.8. Paccar
17.3.9. Man
17.3.10. Valeo
18. Primary Key Insights
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