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

Publisher 360iResearch
Published Jan 15, 2024
Length 191 Pages
SKU # IRE18418559

Description

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


The Artificial Intelligence in Transportation Market size was estimated at USD 2.25 billion in 2023 and expected to reach USD 2.52 billion in 2024, at a CAGR 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?


    Note: PDF & Excel + Online Access - 1 Year

    • Table of Contents

    191 Pages
    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
    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

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