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Artificial Intelligence in Transportation Global Market Report 2022: Ukraine-Russia War Impact

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    Report

  • 175 Pages
  • December 2022
  • Region: Global
  • The Business Research Company
  • ID: 5709797
Major players in the artificial intelligence in transportation market are Volvo Cars, Mercedes-Benz Group AG, Scania AB, Peloton Interactive, Inc., Valeo, Xevo Inc, NVIDIA Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, IBM Corporation, Magna International Inc., and ZF Friedrichshafen AG.

The global artificial intelligence in transportation market is expected to grow from $2.16 billion in 2021 to $2.59 billion in 2022 at a compound annual growth rate (CAGR) of 20%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, effecting many markets across the globe. The artificial intelligence in transportation market is expected to reach $5.16 billion in 2026 at a CAGR of 18.8%.

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.

Artificial intelligence in transportation refers to using artificial intelligence to process and predict data and outcomes for travel and transportation operations. It collects traffic patterns, minimizes road congestion, and enhances public transportation schedules. This process helps in optimizing logistics and decreases turnaround time.

North America was the largest region in the artificial intelligence in transportation market in 2021. 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 and Africa.

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

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

The main types of offering in artificial intelligence in transportation are hardware and software. Hardware is the physical part of the computer or its delivery mechanisms for the software's written instructions to be stored and executed. The hardware in transportation AI includes neuromorphic and von Neumann hardware. The different technologies include deep learning, computer vision, context awareness, and natural language processing that involve various processes such as signal recognition, object recognition, and data mining. It is used in semi-autonomous truck, truck platooning, predictive maintenance, precision and mapping, autonomous truck, and other applications.

Growing demand for autonomous vehicles is expected to propel the growth of artificial intelligence in the transportation market going forward. An autonomous vehicle is a medium of transport that can drive itself in ""autopilot"" mode from a starting point to a given destination using various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation technology, lasers, and radar. Autonomous vehicles employ artificial intelligence to operate the vehicle and to sense any accidents or obstacles. For instance, according to a survey conducted by AlixPartners, a financial advisory and global consulting firm, more than 60% of consumers are aware of level 2 autonomy in China, France, Italy, and Germany. Level 2 autonomy means some driving responsibilities are carried out by the vehicle, however, it is anticipated that the driver will respond to interactions in a timely manner. Also, more than 50% of the consumers are ready to give up vehicle ownership for robotaxi services. Therefore, an increase in the growing demand for autonomous vehicles will drive artificial intelligence in the transportation market.

Technological advancements have emerged as a key trend gaining popularity in artificial intelligence in the transportation market. Major companies operating in the market are focusing on innovations of new products to strengthen their market position. For instance, in January 2022, Qualcomm, a US-based semi-conductor manufacturing company, launched Snapdragon Ride. Snapdragon Ride aims to reduce the complexity of autonomous driving and Advanced driver assistance systems by combining high-performance, power-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack to deliver a low-cost, high-energy system. It provides comprehensive tools for compiling deep neural networks (deep learning).

In April 2021, Conduent Transportation, a US-based business process services and solutions company, partnered with Hayden AI to provide cities and government organisations in the U.S. and overseas with technologically innovative solutions to improve traffic safety and efficiency. The partnership integrates Conduent's position as a top global supplier of public transit and mobility solutions, including traffic enforcement and infractions processing, with Hayden AI's experience in computer vision-based, real-time data collection and urban analytics. Hayden AI is a US-based pioneer in smart traffic enforcement.

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.

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.



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Frequently Asked Questions about the Global Artificial Intelligence in Transportation Market

What is the estimated value of the Global Artificial Intelligence in Transportation Market?

The Global Artificial Intelligence in Transportation Market was estimated to be valued at $2.59 billion in 2022.

What is the growth rate of the Global Artificial Intelligence in Transportation Market?

The growth rate of the Global Artificial Intelligence in Transportation Market is 18.8%, with an estimated value of $5.16 billion by 2026.

What is the forecasted size of the Global Artificial Intelligence in Transportation Market?

The Global Artificial Intelligence in Transportation Market is estimated to be worth $5.16 billion by 2026.

Who are the key companies in the Global Artificial Intelligence in Transportation Market?

Key companies in the Global Artificial Intelligence in Transportation Market include Volvo Cars, Mercedes, Benz Group AG, Scania AB, Peloton Interactive, Inc., Valeo, Xevo Inc., NVIDIA Corporation and Robert Bosch GmbH.

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. COVID-19 Impact On Artificial Intelligence in Transportation Market
4.2. Ukraine-Russia War Impact On Artificial Intelligence in Transportation Market
4.3. Impact Of High Inflation On Artificial Intelligence in Transportation Market
5. Artificial Intelligence in Transportation Market Size And Growth
5.1. Global Artificial Intelligence in Transportation Historic Market, 2016-2021, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Artificial Intelligence in Transportation Forecast Market, 2021-2026F, 2031F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market
6. Artificial Intelligence in Transportation Market Segmentation
6.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
  • Hardware
  • Software
6.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
  • Deep Learning
  • Conputer Vision
  • Context Awareness
  • Natural Language Processing
6.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
6.4. Global Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ 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, 2016-2021, 2021-2026F, 2031F, $ Billion
7.2. Global Artificial Intelligence in Transportation Market, Split By Country, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ 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, 2016-2021, 2021-2026F, 2031F, $ Billion
8.3. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ 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, 2016-2021, 2021-2026F, 2031F,$ Billion
9.3. China Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F,$ Billion
10. India Artificial Intelligence in Transportation Market
10.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
10.2. India Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
11. Japan Artificial Intelligence in Transportation Market
11.1. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
11.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
12. Australia Artificial Intelligence in Transportation Market
12.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
12.2. Australia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
13. Indonesia Artificial Intelligence in Transportation Market
13.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
13.2. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
14. South Korea Artificial Intelligence in Transportation Market
14.1. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
14.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ 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, 2016-2021, 2021-2026F, 2031F, $ Billion
15.3. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
16. UK Artificial Intelligence in Transportation Market
16.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
16.2. UK Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
17. Germany Artificial Intelligence in Transportation Market
17.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
17.2. Germany Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
18. France Artificial Intelligence in Transportation Market
18.1. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
18.2. France Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
19. Eastern Europe Artificial Intelligence in Transportation Market
19.1. Eastern Europe Artificial Intelligence in Transportation Market Overview
19.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
19.3. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
20. Russia Artificial Intelligence in Transportation Market
20.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
20.2. Russia Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
21. North America Artificial Intelligence in Transportation Market
21.1. North America Artificial Intelligence in Transportation Market Overview
21.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
21.3. North America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
22. USA Artificial Intelligence in Transportation Market
22.1. USA Artificial Intelligence in Transportation Market Overview
22.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
22.3. USA Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
23. South America Artificial Intelligence in Transportation Market
23.1. South America Artificial Intelligence in Transportation Market Overview
23.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
23.3. South America Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
24. Brazil Artificial Intelligence in Transportation Market
24.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
24.2. Brazil Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
25. Middle East Artificial Intelligence in Transportation Market
25.1. Middle East Artificial Intelligence in Transportation Market Overview
25.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
25.3. Middle East Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
26. Africa Artificial Intelligence in Transportation Market
26.1. Africa Artificial Intelligence in Transportation Market Overview
26.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
26.3. Africa Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2016-2021, 2021-2026F, 2031F, $ Billion
27. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles
27.1. Artificial Intelligence in Transportation Market Competitive Landscape
27.2. Artificial Intelligence in Transportation Market Company Profiles
27.2.1. Volvo Cars
27.2.1.1. Overview
27.2.1.2. Products and Services
27.2.1.3. Strategy
27.2.1.4. Financial Performance
27.2.2. Mercedes-Benz Group AG
27.2.2.1. Overview
27.2.2.2. Products and Services
27.2.2.3. Strategy
27.2.2.4. Financial Performance
27.2.3. Scania AB
27.2.3.1. Overview
27.2.3.2. Products and Services
27.2.3.3. Strategy
27.2.3.4. Financial Performance
27.2.4. Peloton Interactive, Inc.
27.2.4.1. Overview
27.2.4.2. Products and Services
27.2.4.3. Strategy
27.2.4.4. Financial Performance
27.2.5. Valeo
27.2.5.1. Overview
27.2.5.2. Products and Services
27.2.5.3. Strategy
27.2.5.4. Financial Performance
28. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market29. Artificial Intelligence in Transportation Market Future Outlook and Potential Analysis
30. Appendix
30.1. Abbreviations
30.2. Currencies
30.3. Historic And Forecast Inflation Rates
30.4. Research Inquiries
30.5. The Business Research Company
30.6. Copyright And Disclaimer

Executive Summary

Artificial Intelligence in Transportation Global Market Report 2022: Ukraine-Russia War Impact provides the strategists, marketers and senior management with the critical information they need to assess the global artificial intelligence in transportation market.

This report focuses on artificial intelligence in transportation market which is experiencing strong growth. The report gives a guide to the artificial intelligence in transportation market which will be shaping and changing our lives over the next ten years and beyond, including the markets response to the challenge of the global pandemic.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 12+ geographies.
  • Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
  • Assessment of Russia - War Impact on agriculture, energy and mineral commodities supply and their direct and indirect impact on the market analyzed in the report.
  • 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 research findings.
  • Benchmark performance against key competitors.
  • Utilize the relationships between key data sets for superior strategizing.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis

Description:

Where is the largest and fastest growing market for the 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? The Artificial Intelligence in Transportation market global 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. It places the market within the context of the wider artificial intelligence in transportation market, and compares it with other markets.
  • 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, the influence of the COVID-19 virus and forecasting its growth.
  • Our 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 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.
  • Competitive landscape 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.
  • The artificial intelligence in transportation market section of the report gives context. It compares the artificial intelligence in transportation market with other segments of the artificial intelligence in transportation market by size and growth, historic and forecast. It analyses GDP proportion, expenditure per capita, artificial intelligence in transportation indicators comparison.

Scope

Markets Covered:

1) By Offering: Hardware; Software
2) By Machine Learning Technology: Deep Learning; Conputer 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: Volvo Cars; Mercedes-Benz Group AG; Scania AB; Peloton Interactive, Inc.; Valeo

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA

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.

Companies Mentioned

A selection of companies mentioned in this report includes:

  • Volvo Cars
  • Mercedes-Benz Group AG
  • Scania AB
  • Peloton Interactive, Inc.
  • Valeo
  • Xevo Inc.
  • NVIDIA Corporation
  • Intel Corporation
  • Robert Bosch GmbH
  • Continental AG
  • Microsoft Corporation
  • IBM Corporation
  • Magna International Inc.
  • ZF Friedrichshafen AG.

Methodology

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