Artificial Intelligence in Transportation Market size is expected to reach US$ 5.99 Bn. by 2029 from US$ 1.84 Bn. in 2021, at a CAGR of 15.9% during the forecast period. The report focuses on the Artificial Intelligence in Transportationmarket value at the top regions and countries of the world, which shows a regional development, including market size, share, revenue, and much more across the globe. The report has covered, capacity, production value, cost/profit, and supply/demand by statistical analysis. A brief analysis of drivers, restraints, opportunities, and challenges in the market is also covered with examples by region. To make the most of the opportunities, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments. It also has covered the analysis of key player’s growth strategies, micro and macro analysis of markets, key developments, and key trends in the market.To Know About The Research Methodology :- Request Free Sample Report
Artificial Intelligence in Transportation Market Dynamics:
The development of autonomous vehicles is a key driving factor for the growth of AI in the transportation market. Now, significant investments are coming in the automotive industry, specifically for the optimization of the self-driving technology, by major vehicle original equipment manufacturers (OEM). Thus, the development of autonomous vehicles integrated with smart features is expected to boost the growth of the market, globally. Autonomous taxis have already started operating in Tokyo. According to the manufacturers of autonomous taxis, the technology will outcome in reduced cost for taxi services, which can help increase the public transportation modes in remote areas.Also, US logistics are embracing autonomous trucks to gain numerous benefits from them. According tothe MMR report, 70% of goods are transported via trucks globally. A majority of companies are still running their pilot projects, motivated to make self-driving vehicles sound and safe for passengers. As the technology grows, self-driving vehicles will gain more confidence and become mainstream in the consumer realm. The most exciting and innovative AI application in transportation is a drone taxi. Pilotless helicopters present a unique solution to fight carbon emissions, eliminate traffic congestion, and reduce the need for costly infrastructure construction plans. On the other hand, the AI-based systems are majorly cloud-based which needs expensive bandwidth to provide power to the system. Also, this is a new technology solution that requires superior training and skills which experience high cost. These significant challenges lead to the high operating cost of AI while using in transportation. The AI-operated machines include a network of individual processers, relays, and other components which need time-to-time maintenance and replacement, and a large amount of energy to operate which leads to the high cost of operation. These challenges adverselyinfluence the growth of artificial intelligence in the transportation market.Artificial Intelligence in Transportation Market Segment Analysis:
By application, the AI in the transportation market is segmented into Autonomous Trucks, HMI in Trucks, and Semi-Autonomoustrucks. Among these, Autonomous Trucks held the largest market share in the global market in 2021. This is mainly because the growing development in the trucking industry is further improving the demand for autonomous trucks. Moreover, the growth of the logistics industry in the US for the transportation of goods is driving the need for autonomous trucks. The deployment of autonomous trucks will also result in lowering the maintenance and administration expenses to about 45%. HMI is expected to holda larger market share of xx% in the AI transportation market by 2029. This growth is mainly attributed to its higher penetration of HMI in trucks compared to advanced driver-assistance systems (ADAS) systems. Based on offering, the AI in the transportation market is segmented into Hardware and Software. The hardware segment is further sub-segmented into Neuromorphic and Von Neumann. And Software segment is further sub-segmented into Platforms and Solutions. Among these,the software segmentheld the larger market share in the AI in transportation market in 2021, because of the increasing use of software as a service platform (such as the Microsoft Azure) in human-machine interface (HMI) applications.Artificial Intelligence in Transportation Market Regional Insights:
North America dominated the AI in the transportation market followed by Europe and Asia-Pacific respectively. The use of automated cars and the growing integration of self-driving vehicles onto the US roadways are highly accelerating the growth of the market in North America. Also, the US transportation and logistics industry is highly driving the spread of AI-based self-driving trucks for reduced operational costs. Asia-Pacific is expected to grow at the highestCAGR of xx% during the forecast period (2021-2029). It is mainly because of the highest sale of trucks in Asia-Pacific and the growing use of AI in transportation in developing countries such as Japan and China. Japan is expected to be the fastest-growing country in the AI in the transportation market during the forecast period. In the growing Japanese truck market, companies are finding new revenue streams by integrating AI-enabled features in trucks, which is further supporting the growth of AI in the transportation market in Asia-Pacific. The objective of the report is to present a comprehensive analysis of the Global Artificial Intelligence in Transportation Market to the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding the Global Artificial Intelligence in Transportation Market dynamics, structure by analyzing the market segments and project the Global Artificial Intelligence in Transportation Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Global Artificial Intelligence in Transportation Market make the report investor’s guide.Artificial Intelligence in the Transportation Market Scope: Inquire before buying
Global Artificial Intelligence in the Transportation Market Report Coverage Details Base Year: 2021 Forecast Period: 2022-2029 Historical Data: 2017 to 2021 Market Size in 2021: US $ 1.84 Bn. Forecast Period 2022 to 2029 CAGR: 15.9% Market Size in 2029: US $ 5.99 Bn. Segments Covered: by Application • Autonomous Trucks • HMI in Trucks • Semi-Autonomous Trucks by Offering • Hardware • Neuromorphic • Von Neumann • Software • Platforms • Solutions by Machine Learning Technology • Deep Learning • Computer Vision • Context Awareness • Natural Language Processing by Process • Signal Recognition • Object Recognition • Data Mining Artificial Intelligence in Transportation Market, by Region
• North America • Europe • Asia Pacific • Middle East & Africa • South AmericaArtificial Intelligence in Transportation Market Key Players
• Volvo • Daimler • Scania • Bosch • Intel • NVIDIA • Alphabet • Continental • Magna • Man • Microsoft • Nauto • Paccar • Peloton • Valeo • Xevo • ZF • Zonar • Tier-I Suppliers • Software Suppliers • Start-Up’s • IBM Corporation Frequently Asked Questions: 1. Which region has the largest share in Global Artificial Intelligence in Transportation Market? Ans: Asia-Pacific region held the highest share in 2021. 2. What is the growth rate of Global Artificial Intelligence in Transportation Market? Ans: The Global Artificial Intelligence in Transportation Market is growing at a CAGR of 15.9% during forecasting period 2022-2029. 3. What is scope of the Global Artificial Intelligence in Transportation market report? Ans: Global Artificial Intelligence in Transportation Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Artificial Intelligence in Transportation market? Ans: The important key players in the Global Artificial Intelligence in Transportation Market are – Volvo, Daimler, Scania, Bosch, Intel, NVIDIA, Alphabet, Continental, Magna, Man, Microsoft, Nauto, Paccar, Peloton, Valeo, Xevo, ZF, Zonar, Tier-I Suppliers, Software Suppliers, Start-Up’s, and IBM Corporation 5. What is the study period of this market? Ans: The Global Artificial Intelligence in Transportation Market is studied from 2021 to 2029.
Global Artificial Intelligence in Transportation Market
1. Preface 1.1. Market Definition and Key Research Objectives 1.2. Research Highlights 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$ Bn) 3.1. Global Market Segmentation 3.2. Global Market Segmentation Share Analysis, 2021 3.2.1. Global 3.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 3.3. Geographical Snapshot of the Artificial Intelligence in Transportation Market 3.4. Geographical Snapshot of the Artificial Intelligence in Transportation Market, By Manufacturer share 4. Global Artificial Intelligence in Transportation Market Overview, 2021-2029 4.1. Market Dynamics 4.1.1. Drivers 4.1.1.1. Global 4.1.1.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.2. Restraints 4.1.2.1. Global 4.1.2.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.3. Opportunities 4.1.3.1. Global 4.1.3.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.4. Challenges 4.1.4.1. Global 4.1.4.2. By Region (North America, Europe, Asia Pacific, South America, Middle East Africa) 4.1.5. Industry Trends and Emerging Technologies 4.1.6. Porters Five Forces Analysis 4.1.6.1. Threat of New Entrants 4.1.6.2. Bargaining Power of Buyers/Consumers 4.1.6.3. Bargaining Power of Suppliers 4.1.6.4. Threat of Substitute Products 4.1.6.5. Intensity of Competitive Rivalry 4.1.7. Value Chain Analysis 4.1.8. Technological Roadmap 4.1.9. Regulatory landscape 4.1.10. Impact of the Covid-19 Pandemic on the Global Artificial Intelligence in Transportation Market 5. Supply Side and Demand Side Indicators 6. Global Artificial Intelligence in Transportation Market Analysis and Forecast, 2021-2029 6.1. Global Artificial Intelligence in Transportation Market Size & Y-o-Y Growth Analysis. 7. Global Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 7.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 7.1.1. Autonomous Trucks 7.1.2. HMI in Trucks 7.1.3. Semi-Autonomous Trucks 7.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 7.2.1. Hardware 7.2.1.1. Neuromorphic 7.2.1.2. Von Neumann 7.2.2. Software 7.2.2.1. Platforms 7.2.2.2. Solutions 7.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 7.3.1. Deep Learning 7.3.2. Computer Vision 7.3.3. Context Awareness 7.3.4. Natural Language Processing 7.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 7.4.1. Signal Recognition 7.4.2. Object Recognition 7.4.3. Data Mining 8. Global Artificial Intelligence in Transportation Market Analysis and Forecasts, By Region 8.1. Market Size (Value) Estimates & Forecast By Region, 2021-2029 8.1.1. North America 8.1.2. Europe 8.1.3. Asia-Pacific 8.1.4. Middle East & Africa 8.1.5. South America 9. North America Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 9.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 9.1.1. Autonomous Trucks 9.1.2. HMI in Trucks 9.1.3. Semi-Autonomous Trucks 9.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 9.2.1. Hardware 9.2.1.1. Neuromorphic 9.2.1.2. Von Neumann 9.2.2. Software 9.2.2.1. Platforms 9.2.2.2. Solutions 9.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 9.3.1. Deep Learning 9.3.2. Computer Vision 9.3.3. Context Awareness 9.3.4. Natural Language Processing 9.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 9.4.1. Signal Recognition 9.4.2. Object Recognition 9.4.3. Data Mining 10. North America Artificial Intelligence in Transportation Market Analysis and Forecasts, By Country 10.1. Market Size (Value) Estimates & Forecast By Country, 2021-2029 10.1.1. US 10.1.2. Canada 10.1.3. Mexico 11. U.S. Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 11.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 11.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 11.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 11.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 12. Canada Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 12.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 12.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 12.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 12.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 13. Mexico Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 13.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 13.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 13.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 13.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 14. Europe Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 14.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 14.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 14.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 14.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 15. Europe Artificial Intelligence in Transportation Market Analysis and Forecasts, By Country 15.1. Market Size (Value) Estimates & Forecast By Country, 2021-2029 15.1.1. U.K 15.1.2. France 15.1.3. Germany 15.1.4. Italy 15.1.5. Spain 15.1.6. Sweden 15.1.7. CIS Countries 15.1.8. Rest of Europe 16. U.K. Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 16.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 16.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 16.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 16.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 17. France Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 17.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 17.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 17.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 17.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 18. Germany Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 18.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 18.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 18.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 18.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 19. Italy Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 19.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 19.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 19.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 19.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 20. Spain Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 20.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 20.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 20.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 20.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 21. Sweden Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 21.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 21.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 21.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 21.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 22. CIS Countries Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 22.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 22.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 22.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 22.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 23. Rest of Europe Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 23.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 23.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 23.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 23.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 24. Asia Pacific Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 24.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 24.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 24.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 24.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 25. Asia Pacific Artificial Intelligence in Transportation Market Analysis and Forecasts, by Country 25.1. Market Size (Value) Estimates & Forecast By Country, 2021-2029 25.1.1. China 25.1.2. India 25.1.3. Japan 25.1.4. South Korea 25.1.5. Australia 25.1.6. ASEAN 25.1.7. Rest of Asia Pacific 26. China Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 26.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 26.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 26.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 26.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 27. India Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 27.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 27.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 27.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 27.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 28. Japan Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 28.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 28.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 28.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 28.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 29. South Korea Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 29.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 29.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 29.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 29.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 30. Australia Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 30.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 30.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 30.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 30.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 31. ASEAN Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 31.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 31.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 31.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 31.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 32. Rest of Asia Pacific Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 32.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 32.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 32.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 32.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 33. Middle East Africa Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 33.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 33.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 33.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 33.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 34. Middle East Africa Artificial Intelligence in Transportation Market Analysis and Forecasts, by Country 34.1. Market Size (Value) Estimates & Forecast by Country, 2021-2029 34.1.1. South Africa 34.1.2. GCC Countries 34.1.3. Egypt 34.1.4. Nigeria 34.1.5. Rest of ME&A 35. South Africa Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 35.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 35.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 35.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 35.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 36. GCC Countries Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 36.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 36.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 36.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 36.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 37. Egypt Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 37.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 37.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 37.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 37.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 38. Nigeria Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 38.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 38.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 38.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 38.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 39. Rest of ME&A Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 39.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 39.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 39.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 39.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 40. South America Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 40.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 40.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 40.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 40.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 41. South America Artificial Intelligence in Transportation Market Analysis and Forecasts, by Country 41.1. Market Size (Value) Estimates & Forecast by Country, 2021-2029 41.1.1. Brazil 41.1.2. Argentina 41.1.3. Rest of South America 42. Brazil Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 42.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 42.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 42.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 42.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 43. Argentina Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 43.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 43.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 43.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 43.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 44. Rest of South America Artificial Intelligence in Transportation Market Analysis and Forecasts, 2021-2029 44.1. Market Size (Value) Estimates & Forecast By Application, 2021-2029 44.2. Market Size (Value) Estimates & Forecast By Offering, 2021-2029 44.3. Market Size (Value) Estimates & Forecast By Machine Learning Technology, 2021-2029 44.4. Market Size (Value) Estimates & Forecast By Process, 2021-2029 45. Competitive Landscape 45.1. Geographic Footprint of Major Players in the Global Artificial Intelligence in Transportation Market 45.2. Competition Matrix 45.2.1. Competitive Benchmarking of Key Players By Price, Presence, Market Share, Applications and R&D Investment 45.2.2. New Product Launches and Product Enhancements 45.2.3. Market Consolidation 45.2.3.1. M&A by Regions, Investment and Verticals 45.2.3.2. M&A, Forward Integration and Backward Integration 45.2.3.3. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements 45.3. Company Profile: Key Players 45.3.1. Volvo 45.3.1.1. Company Overview 45.3.1.2. Financial Overview 45.3.1.3. Geographic Footprint 45.3.1.4. Product Portfolio 45.3.1.5. Business Strategy 45.3.1.6. Recent Developments 45.3.2. Daimler 45.3.3. Scania 45.3.4. Bosch 45.3.5. Intel 45.3.6. NVIDIA 45.3.7. Alphabet 45.3.8. Continental 45.3.9. Magna 45.3.10. Man 45.3.11. Microsoft 45.3.12. Nauto 45.3.13. Paccar 45.3.14. Peloton 45.3.15. Valeo 45.3.16. Xevo 45.3.17. ZF 45.3.18. Zonar 45.3.19. Tier-I Suppliers 45.3.20. Software Suppliers 45.3.21. Start-Up’s 45.3.22. IBM Corporation 46. Primary Key Insights