Global Artificial Intelligence (AI) in Transportation Market Size Study & Forecast, by Machine Learning, Application, Offering, Process and Regional Forecasts 2025-2035

Description

The Global Artificial Intelligence (AI) in Transportation Market was valued at approximately USD 3.73 billion in 2024 and is poised to expand at an impressive CAGR of 17.87% over the forecast period from 2025 to 2035. As the transport and mobility landscape transforms under the pressure of digital disruption and sustainability imperatives, AI has taken center stage, reinventing how vehicles operate, interact, and deliver value. From enabling real-time data analysis and autonomous decision-making to optimizing routing and fleet operations, AI technologies like computer vision, deep learning, NLP, and context awareness are forging a smarter, more responsive transportation ecosystem. With connected infrastructure and rising investments in mobility-as-a-service, AI is fast becoming the backbone of next-generation transport networks.

The surging adoption of semi and fully autonomous vehicles, along with human-machine interface (HMI) systems, has accelerated the demand for AI-driven solutions. AI helps vehicles learn from their environment, adapt to dynamic road scenarios, and interact with passengers through voice or gesture commands. Additionally, platooning-where a group of vehicles communicates with each other using AI for fuel efficiency and reduced emissions-is emerging as a transformative application. As governments incentivize intelligent mobility and logistics providers seek to reduce operational costs, AI-based hardware and software offerings are finding strong foothold across the transportation value chain. However, the market still faces resistance due to regulatory ambiguity, integration complexities, and safety validation challenges.

Regionally, North America dominates the global AI in transportation market due to a mature autonomous vehicle ecosystem, favorable regulatory frameworks, and strong technology penetration across logistics, trucking, and passenger mobility. The U.S. leads in R&D, patent filing, and commercialization of AI-powered driving systems. Europe is following closely, driven by its smart city initiatives, automotive innovation clusters, and a focus on sustainability. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by urbanization, massive infrastructure investments, and the aggressive push toward electrification and AI integration in countries like China, Japan, and South Korea. As regional governments implement smart transportation mandates, the demand for AI technologies is expected to multiply exponentially.

Major market player included in this report are:

NVIDIA Corporation
Tesla, Inc.
Microsoft Corporation
Intel Corporation
IBM Corporation
Alphabet Inc. (Google LLC)
Amazon Web Services, Inc.
Aptiv PLC
Uber Technologies, Inc.
Denso Corporation
Volvo Group
Robert Bosch GmbH
Continental AG
Baidu, Inc.
ZF Friedrichshafen AG

Global Artificial Intelligence (AI) in Transportation Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Machine Learning:

Deep Learning
Computer Vision
Context Awareness
Natural Language Processing (NLP)

By Application:

Semi & Full-Autonomous
Human-Machine Interface (HMI)
Platooning

By Offering:

Hardware
Software

By Process:

Process (Single level - detailed info not provided)

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Artificial Intelligence in Transportation Market Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Transportation Market Forces Analysis

3.1. Market Forces Shaping the Global AI in Transportation Market (2024-2035)
3.2. Drivers
- 3.2.1. Escalating Demand for Autonomous Mobility
- 3.2.2. Proliferation of Connected Infrastructure
3.3. Restraints
- 3.3.1. Regulatory Ambiguity and Safety Validation
- 3.3.2. High Integration and Validation Costs
3.4. Opportunities
- 3.4.1. Synergies with Smart City Initiatives
- 3.4.2. Expansion of Mobility-as-a-Service (MaaS)

Chapter 4. Global AI in Transportation Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's Five Forces Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis and Trends 2025
4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Transportation Market Size & Forecasts by Machine Learning 2025-2035

5.1. Market Overview
5.2. Deep Learning
- 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.2.2. Market Size Analysis by Region, 2025-2035
5.3. Computer Vision
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis by Region, 2025-2035
5.4. Context Awareness
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.4.2. Market Size Analysis by Region, 2025-2035
5.5. Natural Language Processing (NLP)
- 5.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.5.2. Market Size Analysis by Region, 2025-2035

Chapter 6. Global AI in Transportation Market Size & Forecasts by Application 2025-2035

6.1. Market Overview
6.2. Semi & Full-Autonomous
- 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.2.2. Market Size Analysis by Region, 2025-2035
6.3. Human-Machine Interface (HMI)
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis by Region, 2025-2035
6.4. Platooning
- 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.4.2. Market Size Analysis by Region, 2025-2035

Chapter 7. Global AI in Transportation Market Size & Forecasts by Offering 2025-2035

7.1. Market Overview
7.2. Hardware
- 7.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.2.2. Market Size Analysis by Region, 2025-2035
7.3. Software
- 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.3.2. Market Size Analysis by Region, 2025-2035

Chapter 8. Global AI in Transportation Market Size & Forecasts by Process 2025-2035

8.1. Market Overview
8.2. Process (Overview)
- 8.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.2.2. Market Size Analysis by Region, 2025-2035

Chapter 9. Global AI in Transportation Market Size & Forecasts by Region 2025-2035

9.1. Regional Market Snapshot
9.2. Top Leading & Emerging Countries
9.3. North America AI in Transportation Market
- 9.3.1. U.S. AI in Transportation Market
  - 9.3.1.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.3.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.3.2. Canada AI in Transportation Market
  - 9.3.2.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.3.2.2. Application Breakdown Size & Forecasts, 2025-2035
9.4. Europe AI in Transportation Market
- 9.4.1. UK AI in Transportation Market
  - 9.4.1.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.2. Germany AI in Transportation Market
  - 9.4.2.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.3. France AI in Transportation Market
  - 9.4.3.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.3.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.4. Spain AI in Transportation Market
  - 9.4.4.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.4.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.5. Italy AI in Transportation Market
  - 9.4.5.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.5.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.6. Rest of Europe AI in Transportation Market
  - 9.4.6.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.4.6.2. Application Breakdown Size & Forecasts, 2025-2035
9.5. Asia Pacific AI in Transportation Market
- 9.5.1. China AI in Transportation Market
  - 9.5.1.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.2. India AI in Transportation Market
  - 9.5.2.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.3. Japan AI in Transportation Market
  - 9.5.3.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.3.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.4. Australia AI in Transportation Market
  - 9.5.4.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.4.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.5. South Korea AI in Transportation Market
  - 9.5.5.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.5.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.6. Rest of Asia Pacific AI in Transportation Market
  - 9.5.6.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.5.6.2. Application Breakdown Size & Forecasts, 2025-2035
9.6. Latin America AI in Transportation Market
- 9.6.1. Brazil AI in Transportation Market
  - 9.6.1.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.6.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.6.2. Mexico AI in Transportation Market
  - 9.6.2.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.6.2.2. Application Breakdown Size & Forecasts, 2025-2035
9.7. Middle East & Africa AI in Transportation Market
- 9.7.1. UAE AI in Transportation Market
  - 9.7.1.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.7.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.7.2. Saudi Arabia AI in Transportation Market
  - 9.7.2.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.7.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.7.3. South Africa AI in Transportation Market
  - 9.7.3.1. ML Breakdown Size & Forecasts, 2025-2035
  - 9.7.3.2. Application Breakdown Size & Forecasts, 2025-2035

Chapter 10. Competitive Intelligence

10.1. Top Market Strategies
10.2. NVIDIA Corporation
- 10.2.1. Company Overview
- 10.2.2. Key Executives
- 10.2.3. Company Snapshot
- 10.2.4. Financial Performance (Subject to Data Availability)
- 10.2.5. Product/Services Portfolio
- 10.2.6. Recent Development
- 10.2.7. Market Strategies
- 10.2.8. SWOT Analysis
10.3. Tesla, Inc.
10.4. Microsoft Corporation
10.5. Intel Corporation
10.6. IBM Corporation
10.7. Alphabet Inc. (Google LLC)
10.8. Amazon Web Services, Inc.
10.9. Aptiv PLC
10.10. Uber Technologies, Inc.
10.11. Denso Corporation
10.12. Volvo Group
10.13. Robert Bosch GmbH
10.14. Continental AG
10.15. Baidu, Inc.
10.16. ZF Friedrichshafen AG