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Artificial Intelligence in Transportation Global Market Report 2024

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    Report

  • 200 Pages
  • January 2024
  • Region: Global
  • The Business Research Company
  • ID: 5766907
Artificial intelligence in transportation involves the application of AI to process and predict data for travel and transportation operations, with the aim of improving efficiency. This includes the collection of traffic patterns, the minimization of road congestion, and the enhancement of public transportation schedules. Through these processes, AI contributes to optimizing logistics and reducing turnaround time.

The primary offerings in artificial intelligence in transportation are categorized into hardware and software. Hardware constitutes the physical components of a computer or its delivery mechanisms for executing software instructions. In the realm of transportation AI, hardware includes neuromorphic and von Neumann hardware. Various technologies, such as deep learning, computer vision, context awareness, and natural language processing, play a role in processes like signal recognition, object recognition, and data mining. These technologies find applications in semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, and other related areas.

The artificial intelligence in transportation market research report is one of a series of new reports that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence in transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.11 billion in 2023 to $3.71 billion in 2024 at a compound annual growth rate (CAGR) of 19.4%. The expansion observed in the historical period can be attributed to several factors, including the utilization of cameras and sensors for collision avoidance, the integration of AI for real-time information analysis, the application of high-performance computing and deep learning systems, the increased availability of big data for training AI models, and a growing emphasis on automation for enhanced safety and operational efficiency.

The artificial intelligence in transportation market size is expected to see rapid growth in the next few years. It will grow to $7.54 billion in 2028 at a compound annual growth rate (CAGR) of 19.4%. The anticipated growth in the forecast period can be attributed to various factors, including the expanding applications of AI in supply chain and logistics for improved operational efficiency, a surge in the adoption of AI for autonomous vehicle development, the integration of AI in multimodal transportation planning and coordination, increased use of AI for real-time route optimization and traffic prediction, and a rising demand for AI-driven solutions in public transportation systems. Key trends expected during this period encompass the development of AI-powered Mobility-as-a-Service (MaaS) platforms, a focus on explainable AI for transparency in decision-making processes, the use of AI for personalized and adaptive in-vehicle experiences, customization of AI solutions tailored to specific transportation modes and industries, and collaborative efforts between AI developers and transportation stakeholders.

The expanding demand for autonomous vehicles is projected to drive the growth of artificial intelligence in the transportation market. Autonomous vehicles are vehicles capable of self-driving, equipped with technologies like adaptive cruise control, active steering, GPS navigation, and various sensors to operate from point A to B. They rely on artificial intelligence for vehicle operation and collision detection. For example, an AlixPartners survey revealed that over 60% of consumers in China, France, Italy, and Germany are familiar with level 2 autonomy, where vehicles handle some driving tasks, expecting drivers to respond as needed. Additionally, more than 50% of consumers are willing to forego vehicle ownership in favor of robotaxi services. Hence, the rising demand for autonomous vehicles will spur artificial intelligence adoption in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1.5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In April 2021, Conduent Transportation, a US-based company specializing in business process services and solutions, partnered with Hayden AI to offer advanced solutions aimed at enhancing traffic safety and efficiency to cities and government organizations in the United States and globally. This collaboration merges Conduent's standing as a leading global provider of public transit and mobility solutions, encompassing traffic enforcement and infractions processing, with Hayden AI's expertise in computer vision-based real-time data collection and urban analytics. Hayden AI, a pioneer in smart traffic enforcement, brings extensive experience in leveraging computer vision technology for urban analytics.

Major companies operating in the in the artificial intelligence in transportation market report are The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2023. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the artificial intelligence in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified)).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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Table of Contents

1. Executive Summary2. Artificial Intelligence in Transportation Market Characteristics3. Artificial Intelligence in Transportation Market Trends And Strategies
4. Artificial Intelligence in Transportation Market - Macro Economic Scenario
4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market
5. Global Artificial Intelligence in Transportation Market Size and Growth
5.1. Global Artificial Intelligence in Transportation Market Drivers and Restraints
5.1.1. Drivers Of The Market
5.1.2. Restraints Of The Market
5.2. Global Artificial Intelligence in Transportation Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Artificial Intelligence in Transportation Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)
6. Artificial Intelligence in Transportation Market Segmentation
6.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Hardware
Software
6.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Deep Learning
Computer Vision
Context Awareness
Natural Language Processing
6.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Signal Recognition
Object Recognition
Data Mining
6.4. Global Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Semi Autonomous Truck
Truck Platooning
Predictive Maintenance
Precision And Mapping
Autonomous Truck
Other Applications
7. Artificial Intelligence in Transportation Market Regional And Country Analysis
7.1. Global Artificial Intelligence in Transportation Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Artificial Intelligence in Transportation Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8. Asia-Pacific Artificial Intelligence in Transportation Market
8.1. Asia-Pacific Artificial Intelligence in Transportation Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
9. China Artificial Intelligence in Transportation Market
9.1. China Artificial Intelligence in Transportation Market Overview
9.2. China Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
10. India Artificial Intelligence in Transportation Market
10.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11. Japan Artificial Intelligence in Transportation Market
11.1. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12. Australia Artificial Intelligence in Transportation Market
12.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13. Indonesia Artificial Intelligence in Transportation Market
13.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14. South Korea Artificial Intelligence in Transportation Market
14.1. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15. Western Europe Artificial Intelligence in Transportation Market
15.1. Western Europe Artificial Intelligence in Transportation Market Overview
15.2. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16. UK Artificial Intelligence in Transportation Market
16.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17. Germany Artificial Intelligence in Transportation Market
17.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18. France Artificial Intelligence in Transportation Market
18.5. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.6. France Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.7. France Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19. Italy Artificial Intelligence in Transportation Market
19.9. Italy Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.10. Italy Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.11. Italy Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20. Spain Artificial Intelligence in Transportation Market
20.13. Spain Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.14. Spain Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.15. Spain Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21. Eastern Europe Artificial Intelligence in Transportation Market
21.1. Eastern Europe Artificial Intelligence in Transportation Market Overview
21.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22. Russia Artificial Intelligence in Transportation Market
22.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23. North America Artificial Intelligence in Transportation Market
23.1. North America Artificial Intelligence in Transportation Market Overview
23.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24. USA Artificial Intelligence in Transportation Market
24.1. USA Artificial Intelligence in Transportation Market Overview
24.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25. Canada Artificial Intelligence in Transportation Market
25.1. Canada Artificial Intelligence in Transportation Market Overview
25.2. Canada Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26. South America Artificial Intelligence in Transportation Market
26.1. South America Artificial Intelligence in Transportation Market Overview
26.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27. Brazil Artificial Intelligence in Transportation Market
27.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28. Middle East Artificial Intelligence in Transportation Market
28.1. Middle East Artificial Intelligence in Transportation Market Overview
28.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29. Africa Artificial Intelligence in Transportation Market
29.1. Africa Artificial Intelligence in Transportation Market Overview
29.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
30. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles
30.1. Artificial Intelligence in Transportation Market Competitive Landscape
30.2. Artificial Intelligence in Transportation Market Company Profiles
30.2.1. The Volvo Group
30.2.1.1. Overview
30.2.1.2. Products and Services
30.2.1.3. Strategy
30.2.1.4. Financial Performance
30.2.2. Mercedes-Benz Group AG
30.2.2.1. Overview
30.2.2.2. Products and Services
30.2.2.3. Strategy
30.2.2.4. Financial Performance
30.2.3. Scania AB
30.2.3.1. Overview
30.2.3.2. Products and Services
30.2.3.3. Strategy
30.2.3.4. Financial Performance
30.2.4. Peloton Interactive Inc.
30.2. 4.1. Overview
30.2. 4.2. Products and Services
30.2. 4.3. Strategy
30.2.4.4. Financial Performance
30.2.5. Valeo SA
30.2. 5.1. Overview
30.2. 5.2. Products and Services
30.2. 5.3. Strategy
30.2.5.4. Financial Performance
31. Global Artificial Intelligence in Transportation Market Competitive Benchmarking32. Global Artificial Intelligence in Transportation Market Competitive Dashboard33. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market
34. Artificial Intelligence in Transportation Market Future Outlook and Potential Analysis
34.1 Artificial Intelligence in Transportation Market In 2028 - Countries Offering Most New Opportunities
34.2 Artificial Intelligence in Transportation Market In 2028 - Segments Offering Most New Opportunities
34.3. Artificial Intelligence in Transportation Market In 2028 - Growth Strategies
34.3.1 Market Trend Based Strategies
34.3.2 Competitor Strategies
35. Appendix
35.1. Abbreviations
35.2. Currencies
35.3. Historic And Forecast Inflation Rates
35.4. Research Inquiries
35.5. The Business Research Company
35.6. Copyright And Disclaimer

Executive Summary

Artificial Intelligence in Transportation Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in transportation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • All data from the report will also be delivered in an excel dashboard format.

Description:

Where is the largest and fastest growing market for artificial intelligence in transportation? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This report answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:
  • The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
  • The impact of higher inflation in many countries and the resulting spike in interest rates.
  • The continued but declining impact of COVID-19 on supply chains and consumption patterns.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered: 1) By Offering: Hardware; Software 2) By Machine Learning Technology: Deep Learning; Computer Vision; Context Awareness; Natural Language Processing 3) By Process: Signal Recognition; Object Recognition; Data Mining 4) By Application: Semi Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Other Applications
  • Companies Mentioned: The Volvo Group; Mercedes-Benz Group AG; Scania AB; Peloton Interactive Inc.; Valeo SA
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • The Volvo Group
  • Mercedes-Benz Group AG
  • Scania AB
  • Peloton Interactive Inc.
  • Valeo SA
  • Xevo Inc.
  • Nvidia Corporation
  • Intel Corporation
  • Robert Bosch GmbH
  • Continental AG
  • Microsoft Corporation
  • International Business Machines Corp
  • Magna International Inc.
  • ZF Friedrichshafen AG
  • Alphabet Inc.
  • Daimler AG
  • General Motors Company
  • Aptiv plc
  • Denso Corporation
  • Xilinx Inc.
  • TomTom NV
  • Harman International Industries Inc.
  • Nauto Inc.
  • FiveAI Inc.
  • Waymo LLC
  • Uber Technologies Inc.
  • Tesla Inc.
  • Mobileye NV
  • Baidu Inc.
  • AutoX Inc.
  • Ponyai Inc.
  • TuSimple Inc.
  • Aurora Innovation Inc.
  • Embark Trucks Inc.
  • Plusai Inc.

Methodology

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