Artificial Intelligence In Transportation Market - Global Industry Analysis

Artificial Intelligence In Transportation Market – By Technology (Deep Learning, Machine Learning, Context Awareness, NLP, and Computer Vision), By Application (HMI and ADAS), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 01-Jun-2021 Category: Technology & Media Report Format : PDF Pages: 160 Report Code: ZMR-6342 Status : Published

The global Artificial Intelligence In Transportation market, which was estimated at about 1.12 (USD Billion) in 2019 and is predicted to accrue earnings worth 16.1 (USD Billion) by 2026, is set to record a CAGR of nearly over 18% during 2020-2026.

Description

The global Artificial Intelligence In Transportation market, which was estimated at about 1.12 (USD Billion) in 2019 and is predicted to accrue earnings worth 16.1 (USD Billion) by 2026, is set to record a CAGR of nearly over 18% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence In Transportation market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Billion).

Report Scope :

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

 

Artificial Intelligence in Transportation Market: Overview

AI has the ability to ease traffic jamming, lessening of time of commuter, and prompting ridesharing activities and hence it has been used in transport sector. In addition to this, transport ecosystem embedded with AI has the ability of harnessing data power, managing congestion, supporting air traffic control, and facilitating dynamic decision making activities. Massive need for user-controlled mobility solutions, intelligent transport network, and automation & safety of transport activities will drive market trends.

Artificial Intelligence in Transportation Market: Growth Factors

Escalating need for security as well as huge focus on reducing operational costs of transport activities will prompt the expansion of artificial intelligence in transportation industry over the coming years. Apart from this, humungous utility of self-driven and semi-autonomous automotive will steer growth of artificial intelligence in transportation market during the forecast timespan. Rise in the use of electric scooters, electric cars, and dockless bicycles will not only boost the transportation market growth but will pave a way for massive utilization of artificial intelligence in transportation industry over the upcoming years. Need for reducing vehicular collisions and increasing the efficiency of ADAS systems in vehicles will proliferate the business growth over the assessment timeline.  

Furthermore, requirement of controlling fuel emissions along with maintaining the speed as well as lane discipline of vehicles will spearhead the use of artificial intelligence in transportation industry. Thriving smart mobility industry and need for reducing cost of transportation for passengers as well as for firms involved in transport & logistics business will spur the market size over the ensuing years. Need to improve the traffic management operations along with need for reducing waiting time of passengers will create huge scope of growth for artificial intelligence in transportation industry. Massive necessity of improving travelling experience as well as providing comfort to passengers during travel will translate into elevated surge in utility of artificial intelligence in transportation industry in the coming decade. AI data-based models helps in accurately forecasting weather changes and its use in vehicles will help the travellers in predicting the fluctuations in climate. This will enhance the use of AI in transport services.

Global Artificial Intelligence In Transportation Market

North American Market To Witness Scalable Growth By 2026

The growth of artificial intelligence in transportation market over the assessment period is owing to strong financial status of the giant transport & logistics firms based in the countries like the U.S. In addition to this, implementation of strict government norms pertaining to road safety along with presence of giant tech firms in the sub-continent will prompt the business growth in North America over the assessment period. Apparently, rise in the sale of commercial vehicles in the U.S. will culminate into huge regional market surge over the forecast timeframe.

Key players profiled in the study include Volvo, Daimler, Scania, Bosch, Intel, and NVIDIA.

The global Artificial Intelligence In Transportation Market is segmented as follows:

By Application:

  • HMI
  • ADAS

By Technology:

  • Machine Learning
  • Computer Vision
  • Context Awareness
  • NLP
  • Deep Learning

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodulogy
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodulogy
  • Chapter 2. Executive Summary
    • 2.1. Artificial Intelligence In Transportation Market, 2016–2026 (USD Billion)
    • 2.2. Artificial Intelligence In Transportation Market: Snapshot
  • Chapter 3. Global Artificial Intelligence In Transportation Market– Industry Analysis
    • 3.1. Artificial Intelligence In Transportation Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. Escalating need for security as well as huge focus on reducing operational costs of transport activities will prompt the expansion of artificial intelligence in transportation industry over the coming years.
      • 3.2.2. Humungous utility of self-driven and semi-autonomous automotive will steer growth of artificial intelligence in transportation market during the forecast timespan.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By Application
      • 3.4.2. Market attractiveness analysis By Technulogy
  • Chapter 4. Global Artificial Intelligence In Transportation Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Artificial Intelligence In Transportation Market: company market share, 2018
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technulogy launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Artificial Intelligence In Transportation Market– Application Analysis
    • 5.1. Global Artificial Intelligence In Transportation Market overview: By Application
      • 5.1.1. Global Artificial Intelligence In Transportation Market share, By Application , 2019 and 2026
    • 5.2. HMI
      • 5.2.1. Global Artificial Intelligence In Transportation Market By HMI, 2016–2026 (USD Billion)
    • 5.3. ADAS
      • 5.3.1. Global Artificial Intelligence In Transportation Market By ADAS, 2016–2026 (USD Billion)
  • Chapter 6. Global Artificial Intelligence In Transportation Market– Technulogy Analysis
    • 6.1. Global Artificial Intelligence In Transportation Market overview: By Technulogy
      • 6.1.1. Global Artificial Intelligence In Transportation Market share, By Technulogy, 2019 and 2026
    • 6.2. Machine Learning
      • 6.2.1. Global Artificial Intelligence In Transportation Market By Machine Learning , 2016–2026 (USD Billion)
    • 6.3. Computer Vision
      • 6.3.1. Global Artificial Intelligence In Transportation Market By Computer Vision, 2016–2026 (USD Billion)
    • 6.4. NLP
      • 6.4.1. Global Artificial Intelligence In Transportation Market By NLP, 2016–2026 (USD Billion)
    • 6.5. Context Awareness
      • 6.5.1. Global Artificial Intelligence In Transportation Market By Context Awareness, 2016–2026 (USD Billion)
    • 6.6. Deep Learning
      • 6.6.1. Global Artificial Intelligence In Transportation Market By Deep Learning, 2016–2026 (USD Billion)
  • Chapter 7. Company Profiles
    • 7.1. Intel
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technulogy Portfulio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. Vulvo
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technulogy Portfulio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Daimler
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technulogy Portfulio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. Scania
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technulogy Portfulio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. Bosch
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technulogy Portfulio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. NVIDIA
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technulogy Portfulio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development

Methodology


Frequently Asked Questions

Escalating need for security as well as huge focus on reducing operational costs of transport activities will prompt the expansion of artificial intelligence in transportation industry over the coming years. Apart from this, humungous utility of self-driven and semi-autonomous automotive will steer growth of artificial intelligence in transportation market during the forecast timespan. Rise in the use of electric scooters, electric cars, and dockless bicycles will not only boost the transportation market growth but will pave a way for massive utilization of artificial intelligence in transportation industry over the upcoming years. Need for reducing vehicular collisions and increasing the efficiency of ADAS systems in vehicles will proliferate the business growth over the assessment timeline. 

Furthermore, requirement of controlling fuel emissions along with maintaining the speed as well as lane discipline of vehicles will spearhead the use of artificial intelligence in transportation industry. Thriving smart mobility industry and need for reducing cost of transportation for passengers as well as for firms involved in transport & logistics business will spur the market size over the ensuing years.  

According to Zion Market Research report, the global Artificial Intelligence In Transportation market, which was estimated at about 1.12 (USD Billion) in 2019 and is predicted to accrue earnings worth 16.1 (USD Billion) by 2026, is set to record a CAGR of nearly over 18% during 2020-2026.

North America is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to strong financial status of the giant transport & logistics firms based in the countries like the U.S. In addition to this, implementation of strict government norms pertaining to road safety along with presence of giant tech firms in the sub-continent will prompt the business growth in North America over the assessment period. Apparently, rise in the sale of commercial vehicles in the U.S. will culminate into huge regional market surge over the forecast timeframe.

 

The key players profiled in the report include are Volvo, Daimler, Scania, Bosch, Intel, and NVIDIA.

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