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:
Market Penetration: It presents comprehensive information on the market provided by key players.
Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
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.
Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
What is the market size and forecast of the Artificial Intelligence in Transportation Market?
Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Transportation Market?
What are the technology trends and regulatory frameworks in the Artificial Intelligence in Transportation Market?
What is the market share of the leading vendors in the Artificial Intelligence in Transportation Market?
Which modes and strategic moves are suitable for entering the Artificial Intelligence in Transportation Market?
Note: PDF & Excel + Online Access - 1 Year
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