Global Artificial Intelligence in Transportation Market, By Offering (Hardware and Software), By Machine Learning (Deep Learning, Computer Vision, Context Awareness, NLP), By Application (Semi & Full-Autonomous, HMI, Platooning), By Process (Data Mining, Image Recognition and Signal Recognition) By Company and By Geography, Forecast & Opportunities, 2027

  • Industry : ICT
  • Pages : NA
  • Published Date : NA
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Summary

Report Description

Global Artificial Intelligence in Transportation Market is expected to grow at double-digit CAGR of over 17% in value terms owing to growing adoption of advanced driver assistance systems, government stringent regulation for vehicle safety and growing technical advancements in vehicles like autonomous vehicles. Based on machine learning technology of the artificial intelligence in transportation market, the Deep learning technology holds the largest market share in 2021 and is expected to maintain its dominance over the next five years as well. Moreover, North America region is estimated to be the largest market for the artificial intelligence in transportation market as the region is the major contributor in advance technology sector and is investing majorly on the research and development sector.

Some of the leading players in the Global Artificial Intelligence in Transportation market are Volvo, Daimler, Man, Paccar, Scania, Bosch, Magna, Continental, Valeo, ZF, Intel, Microsoft, Alphabet etc

Objective of the Study:

  • To analyse and forecast the market size of Artificial Intelligence in Transportation, in terms of value.
  • To classify and forecast global Artificial Intelligence in Transportation based on offering, machine learning technology, application, process and regional distribution.
  • To identify drivers and challenges for global Artificial Intelligence in Transportation.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global Artificial Intelligence in Transportation.
  • To conduct the pricing analysis for Artificial Intelligence in Transportation.
  • To identify and analyse the profile of leading players involved in the manufacturing of global Artificial Intelligence in Transportation.

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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of collaboration solution and service vendors across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the solution and service vendors which could not be identified due to the limitations of secondary research. TechSci Research analysed the service offerings, distribution channels and presence of all major collaboration solution and service vendors across the globe.

TechSci Research calculated the market size of Global Artificial Intelligence in Transportation using a bottom-up approach, where data for various end user industries and its application across various product types were recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analysing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company website, news articles, press releases, company annual reports, investor presentations and financial reports were also used by TechSci Research.

Key Target Audience:

  • Artificial Intelligence in Transportation Software & Solution Providers
  • Automotive OEMs
  • Raw material manufacturers
  • Artificial intelligence hardware and software suppliers
  • Research organizations and consulting companies.
  • Research Institutes
  • Industry associations
  • Market research and consulting firm.

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as collaboration solution and service vendors, distributors and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Attribute

Details

Base Year

2021

Historical Data

2017 – 2020

Estimated Year

2022

Forecast Period

2023 – 2027

Quantitative Units

Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F

Report coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments covered

·         Offering

·         Machine Learning Technology

·         Application

·         Process

Regional scope

North America; Europe; Asia Pacific; South America; Middle East & Africa

Country scope

United States, Mexico, Canada, China, India, Japan, South Korea, Australia, Singapore; Malaysia; Germany, France, United Kingdom, Spain, Italy, South Africa, UAE, Saudi Arabia, Qatar; Brazil, Argentina, Colombia;

Key companies profiled

Volvo, Daimler, Man, Paccar, Scania, Bosch, Magna, Continental, Valeo, ZF, Intel, Microsoft, Alphabet.

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Report Scope:

In this report, Global Artificial Intelligence in Transportation market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Market, By Offering:
    • Hardware
    • Software
  • Market, By Machine Learning Technology:
    • Deep Learning
    • Computer Vision
    • Context Awareness
    • NLP
  • Market, By Application:
    • Semi & Full-Autonomous
    • HMI
    • Platooning
  • Market, By Process:
    • Data Mining
    • Image Recognition
    • Signal Recognition
  • Market, by Region:
    • Asia Pacific

§  China

§  India 

§  Japan

§  South Korea

      • Australia
      • Singapore
      • Malaysia
    • Europe & CIS

§  France

§  Germany

§  United Kingdom

§  Italy

§  Spain

    • North America

§  United States

§  Mexico

§  Canada

    • South America

§  Brazil

§  Argentina

§  Colombia

    • Middle East and Africa

§  South Africa

§  Saudi Arabia

§  UAE

§  Qatar

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in Artificial Intelligence in Transportation.

Available Customizations:

With the given market data, TechSci Research offers customizations according the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Profit Margin Analysis

  • Profit margin analysis in case of direct and indirect sales channel.

It is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]  

Table of content

1.    Product Overview

2.    Research Methodology

3.    Executive Summary

4.    Voice of Customers

5.    Impact of COVID-19 on Global Artificial Intelligence in Transportation Market

6.    Global Artificial Intelligence in Transportation Market Outlook

6.1.  Market Size & Forecast

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Offering (Hardware and Software)

6.2.2.     By Machine Learning Technology (Deep Learning, Computer Vision, Context Awareness, NLP)

6.2.3.     By Application (Semi & Full-Autonomous, HMI, Platooning)

6.2.4.     By Process (Data Mining, Image Recognition and Signal Recognition)

6.2.5.     By Company

6.2.6.     By Region

6.3.  Market Attractiveness Index

7.    Asia-Pacific Artificial Intelligence in Transportation Market Outlook

7.1.  Market Size & Forecast

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Machine Learning Technology

7.2.2.     By Process

7.2.3.     By Application

7.2.4.     By Country

7.3.  Market Attractiveness Index

7.4.  Asia-Pacific: Country Analysis

7.4.1.     China Artificial Intelligence in Transportation Market Outlook

7.4.1.1.         Market Size & Forecast

7.4.1.1.1.             By Value

7.4.1.2.         Market Share & Forecast

7.4.1.2.1.             By Machine Learning Technology

7.4.1.2.2.             By Application

7.4.2.     India Artificial Intelligence in Transportation Market Outlook

7.4.2.1.         Market Size & Forecast

7.4.2.1.1.             By Value

7.4.2.2.         Market Share & Forecast

7.4.2.2.1.             By Machine Learning Technology

7.4.2.2.2.             By Application

7.4.3.     Japan Artificial Intelligence in Transportation Market Outlook

7.4.3.1.         Market Size & Forecast

7.4.3.1.1.             By Value

7.4.3.2.         Market Share & Forecast

7.4.3.2.1.             By Machine Learning Technology

7.4.3.2.2.             By Application

7.4.4.     South Korea Artificial Intelligence in Transportation Market Outlook

7.4.4.1.         Market Size & Forecast

7.4.4.1.1.             By Value

7.4.4.2.         Market Share & Forecast

7.4.4.2.1.             By Machine Learning Technology

7.4.4.2.2.             By Application

7.4.5.     Australia Artificial Intelligence in Transportation Market Outlook

7.4.5.1.         Market Size & Forecast

7.4.5.1.1.             By Value

7.4.5.2.         Market Share & Forecast

7.4.5.2.1.             By Machine Learning Technology

7.4.5.2.2.             By Application

7.4.6.     Singapore Artificial Intelligence in Transportation Market Outlook

7.4.6.1.         Market Size & Forecast

7.4.6.1.1.             By Value

7.4.6.2.         Market Share & Forecast

7.4.6.2.1.             By Machine Learning Technology

7.4.6.2.2.             By Application

7.4.7.     Malaysia Artificial Intelligence in Transportation Market Outlook

7.4.7.1.         Market Size & Forecast

7.4.7.1.1.             By Value

7.4.7.2.         Market Share & Forecast

7.4.7.2.1.             By Machine Learning Technology

7.4.7.2.2.             By Application

8.    Europe & CIS Artificial Intelligence in Transportation Market Outlook

8.1.  Market Size & Forecast

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Machine Learning

8.2.2.     By Process

8.2.3.     By Application

8.2.4.     By Country

8.3.  Market Attractiveness Index

8.4.  Europe: Country Analysis

8.4.1.     France Artificial Intelligence in Transportation Market Outlook

8.4.1.1.         Market Size & Forecast

8.4.1.1.1.             By Value

8.4.1.2.         Market Share & Forecast

8.4.1.2.1.             By Machine Learning Technology

8.4.1.2.2.             By Application

8.4.2.     Germany Artificial Intelligence in Transportation Market Outlook

8.4.2.1.         Market Size & Forecast

8.4.2.1.1.             By Value

8.4.2.2.         Market Share & Forecast

8.4.2.2.1.             By Machine Learning Technology

8.4.2.2.2.             By Application

8.4.3.     United Kingdom Artificial Intelligence in Transportation Market Outlook

8.4.3.1.         Market Size & Forecast

8.4.3.1.1.             By Value

8.4.3.2.         Market Share & Forecast

8.4.3.2.1.             By Machine Learning Technology

8.4.3.2.2.             By Application

8.4.4.     Italy Artificial Intelligence in Transportation Market Outlook

8.4.4.1.         Market Size & Forecast

8.4.4.1.1.             By Value

8.4.4.2.         Market Share & Forecast

8.4.4.2.1.             By Machine Learning Technology

8.4.4.2.2.             By Application

8.4.5.     Spain Artificial Intelligence in Transportation Market Outlook

8.4.5.1.         Market Size & Forecast

8.4.5.1.1.             By Value

8.4.5.2.         Market Share & Forecast

8.4.5.2.1.             By Machine Learning Technology

8.4.5.2.2.             By Application

9.    North America Artificial Intelligence in Transportation Market Outlook

9.1.  Market Size & Forecast

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Machine Learning

9.2.2.     By Process

9.2.3.     By Application

9.2.4.     By Country

9.3.  Market Attractiveness Index

9.4.  North America: Country Analysis

9.4.1.     United States Artificial Intelligence in Transportation Market Outlook

9.4.1.1.         Market Size & Forecast

9.4.1.1.1.             By Value

9.4.1.2.         Market Share & Forecast

9.4.1.2.1.             By Machine Learning Technology

9.4.1.2.2.             By Application

9.4.2.     Mexico Artificial Intelligence in Transportation Market Outlook

9.4.2.1.         Market Size & Forecast

9.4.2.1.1.             By Value

9.4.2.2.         Market Share & Forecast

9.4.2.2.1.             By Machine Learning Technology

9.4.2.2.2.             By Application

9.4.3.     Canada Artificial Intelligence in Transportation Market Outlook

9.4.3.1.         Market Size & Forecast

9.4.3.1.1.             By Value

9.4.3.2.         Market Share & Forecast

9.4.3.2.1.             By Machine Learning Technology

9.4.3.2.2.             By Application

10.  South America Artificial Intelligence in Transportation Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Machine Learning

10.2.2.  By Process

10.2.3.  By Application

10.2.4.  By Country

10.3.              Market Attractiveness Index

10.4.              South America: Country Analysis

10.4.1.  Brazil Artificial Intelligence in Transportation Market Outlook

10.4.1.1.      Market Size & Forecast

10.4.1.1.1.           By Value

10.4.1.2.      Market Share & Forecast

10.4.1.2.1.           By Machine Learning Technology

10.4.1.2.2.           By Application

10.4.2.  Argentina Artificial Intelligence in Transportation Market Outlook

10.4.2.1.      Market Size & Forecast

10.4.2.1.1.           By Value

10.4.2.2.      Market Share & Forecast

10.4.2.2.1.           By Machine Learning Technology

10.4.2.2.2.           By Application

10.4.3.  Colombia Artificial Intelligence in Transportation Market Outlook

10.4.3.1.      Market Size & Forecast

10.4.3.1.1.           By Value

10.4.3.2.      Market Share & Forecast

10.4.3.2.1.           By Machine Learning Technology

10.4.3.2.2.           By Application

11.  Middle East and Africa Artificial Intelligence in Transportation Market Outlook

11.1.              Market Size & Forecast

11.1.1.  By Value

11.2.              Market Share & Forecast

11.2.1.  By Machine Learning

11.2.2.  By Process

11.2.3.  By Application

11.2.4.  By Country

11.3.              Market Attractiveness Index

11.4.              MEA: Country Analysis

11.4.1.  South Africa Artificial Intelligence in Transportation Market Outlook

11.4.1.1.      Market Size & Forecast

11.4.1.1.1.           By Value

11.4.1.2.      Market Share & Forecast

11.4.1.2.1.           By Machine Learning Technology

11.4.1.2.2.           By Application

11.4.2.  Saudi Arabia Artificial Intelligence in Transportation Market Outlook

11.4.2.1.      Market Size & Forecast

11.4.2.1.1.           By Value

11.4.2.2.      Market Share & Forecast

11.4.2.2.1.           By Machine Learning Technology

11.4.2.2.2.           By Application

11.4.3.  UAE Artificial Intelligence in Transportation Market Outlook

11.4.3.1.      Market Size & Forecast

11.4.3.1.1.           By Value

11.4.3.2.      Market Share & Forecast

11.4.3.2.1.           By Machine Learning Technology

11.4.3.2.2.           By Application

11.4.4.  Qatar Artificial Intelligence in Transportation Market Outlook

11.4.4.1.      Market Size & Forecast

11.4.4.1.1.           By Value

11.4.4.2.      Market Share & Forecast

11.4.4.2.1.           By Machine Learning Technology

11.4.4.2.2.           By Application

12.  Market Dynamics

12.1.              Drivers

12.2.              Challenges

13.  Market Trends & Developments

14.  Supply Chain Analysis

15.  Policy & Regulatory

16.  Competitive Landscape

17. Strategic Recommendations

Figures and Tables

Frequently asked questions

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2017-2027 is the forecast period in the market report

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The base year for the report is 2021

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Key players operating the market include Volvo, Daimler, Man, Paccar, Scania, Bosch, Magna, Continental, Valeo, ZF, Intel, Microsoft, Alphabet.

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Based on offering, market is segmented into hardware and software.

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