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Global Artificial Intelligence in Transportation Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context Awareness, Deep Learning), Application - Forecast 2024-2030

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    Report

  • 191 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 5887749
UP TO OFF until Dec 31st 2024
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The Artificial Intelligence in Transportation Market size was estimated at USD 2.25 billion in 2023, USD 2.52 billion in 2024, and is expected to grow at a CAGR of 13.67% to reach USD 5.52 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Transportation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Transportation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Transportation Market, highlighting leading vendors and their innovative profiles. These include AB Volvo, Aptiv Global Operations Limited, Aurora Innovation Inc., Baidu Apoll, Bosch Security Systems, LLC., Continental AG, Embark Trucks, Inc., Innoviz Technologies Ltd., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Nuro, Inc., NVIDIA Corporation, PlusAI, Inc., Pony.ai, Inc., Scania CV AB by Volkswagen Group, The Mercedes-Benz Group AG, TuSimple, Waymo LLC, and ZF Friedrichshafen AG.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Transportation Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
    • Services
    • Software
  • Technology
    • Computer Vision
    • Context Awareness
    • Deep Learning
    • Natural Language Processing
  • Application
    • Automated License Plate Recognition
    • Computer Vision-Powered Parking Management
    • Pedestrian Detection
    • Road Condition Monitoring
    • Self-driving Vehicles
    • Traffic Detection
    • Traffic Flow Analysis
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Artificial Intelligence in Transportation Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Transportation Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Transportation Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Transportation Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Transportation Market?

Please note: For this report, the purchase of an Enterprise license allows up to ten worldwide users of an organization access to the report

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With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.

This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Transportation Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Surging adoption of autonomous vehicles worldwide
5.1.1.2. Growing demand for enhanced transportation solutions
5.1.1.3. Government initiatives to encourage the adoption of advanced technologies in transportation
5.1.2. Restraints
5.1.2.1. High initial investment and implementation cost of AI-based transportation solutions
5.1.3. Opportunities
5.1.3.1. Adoption of AI-powered predictive maintenance in transportation
5.1.3.2. Emerging use in public transportation systems
5.1.4. Challenges
5.1.4.1. Interoperability and compatibility issues in AI-based transportation solutions
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in Transportation Market, by Component
6.1. Introduction
6.2. Hardware
6.3. Services
6.4. Software
7. Artificial Intelligence in Transportation Market, by Technology
7.1. Introduction
7.2. Computer Vision
7.3. Context Awareness
7.4. Deep Learning
7.5. Natural Language Processing
8. Artificial Intelligence in Transportation Market, by Application
8.1. Introduction
8.2. Automated License Plate Recognition
8.3. Computer Vision-Powered Parking Management
8.4. Pedestrian Detection
8.5. Road Condition Monitoring
8.6. Self-driving Vehicles
8.7. Traffic Detection
8.8. Traffic Flow Analysis
9. Americas Artificial Intelligence in Transportation Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Artificial Intelligence in Transportation Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Artificial Intelligence in Transportation Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player
13. Competitive Portfolio
13.1. Key Company Profiles
13.1.1. AB Volvo
13.1.2. Aptiv Global Operations Limited
13.1.3. Aurora Innovation Inc.
13.1.4. Baidu Apoll
13.1.5. Bosch Security Systems, LLC.
13.1.6. Continental AG
13.1.7. Embark Trucks, Inc.
13.1.8. Innoviz Technologies Ltd.
13.1.9. Intel Corporation
13.1.10. International Business Machines Corporation
13.1.11. Microsoft Corporation
13.1.12. Nuro, Inc.
13.1.13. NVIDIA Corporation
13.1.14. PlusAI, Inc.
13.1.15. Pony.ai, Inc.
13.1.16. Scania CV AB by Volkswagen Group
13.1.17. The Mercedes-Benz Group AG
13.1.18. TuSimple
13.1.19. Waymo LLC
13.1.20. ZF Friedrichshafen AG
13.2. Key Product Portfolio
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2023 VS 2030
FIGURE 3. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET DYNAMICS
FIGURE 7. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 10. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 12. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 22. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SHARE, BY KEY PLAYER, 2023

Companies Mentioned

  • AB Volvo
  • Aptiv Global Operations Limited
  • Aurora Innovation Inc.
  • Baidu Apoll
  • Bosch Security Systems, LLC.
  • Continental AG
  • Embark Trucks, Inc.
  • Innoviz Technologies Ltd.
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Nuro, Inc.
  • NVIDIA Corporation
  • PlusAI, Inc.
  • Pony.ai, Inc.
  • Scania CV AB by Volkswagen Group
  • The Mercedes-Benz Group AG
  • TuSimple
  • Waymo LLC
  • ZF Friedrichshafen AG

Methodology

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Table Information