What is the current market valuation of the US applied ai-in-autonomous-vehicles market?

The market valuation was $458.49 Million in 2024. Read More

What is the projected market valuation for the US applied ai-in-autonomous-vehicles market by 2035?

The projected valuation for 2035 is $1578.67 Million. Read More

What is the expected CAGR for the US applied ai-in-autonomous-vehicles market during the forecast period 2025 - 2035?

The expected CAGR during this period is 11.9%. Read More

Which companies are considered key players in the US applied ai-in-autonomous-vehicles market?

Key players include Waymo, Tesla, Cruise, Aurora, Mobileye, Baidu, Nuro, Zoox, and Pony.ai. Read More

What are the main components of the US applied ai-in-autonomous-vehicles market?

The main components are Hardware, Software, and Services, with valuations of $137.54 Million, $183.84 Million, and $137.11 Million respectively in 2024. Read More

How does the market segment for technology break down in the US applied ai-in-autonomous-vehicles market?

The technology segment includes Machine Learning, Natural Language Processing, Computer Vision, and Context-Aware Computing, with valuations ranging from $58.6 Million to $487.67 Million. Read More

What types of vehicles are included in the US applied ai-in-autonomous-vehicles market?

The market includes Semi-autonomous Vehicles and Fully Autonomous Vehicles, valued at $275.0 Million and $183.49 Million respectively in 2024. Read More

What vehicle types are represented in the US applied ai-in-autonomous-vehicles market?

Passenger Vehicles and Commercial Vehicles are represented, with valuations of $275.0 Million and $183.49 Million respectively in 2024. Read More

What is the expected growth trajectory for the US applied ai-in-autonomous-vehicles market?

The market is expected to grow significantly, reaching $1578.67 Million by 2035. Read More

How do the valuations of different components compare in the US applied ai-in-autonomous-vehicles market?

In 2024, Software leads with $183.84 Million, followed by Hardware at $137.54 Million and Services at $137.11 Million. Read More

US Applied AI in Autonomous Vehicles Market

ID: MRFR/ICT/13471-HCR

200 Pages

Garvit Vyas

Last Updated: April 06, 2026

US Applied AI in Autonomous Vehicles Market Research Report: By Component (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Context-Aware Computing, Others), By Type (Semi-autonomous Vehicles, Fully-autonomous Vehicles) and By Vehicle Type (Passenger Vehicle, Commercial Vehicle) - Forecast to 2035

Summary Table of Contents Segmentation Download PDF

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1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
1. 1.1 EXECUTIVE SUMMARY
  1. 1.1.1 Market Overview
  2. 1.1.2 Key Findings
  3. 1.1.3 Market Segmentation
  4. 1.1.4 Competitive Landscape
  5. 1.1.5 Challenges and Opportunities
  6. 1.1.6 Future Outlook
2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
1. 2.1 MARKET INTRODUCTION
  1. 2.1.1 Definition
  2. 2.1.2 Scope of the study
    1. 2.1.2.1 Research Objective
    2. 2.1.2.2 Assumption
    3. 2.1.2.3 Limitations
2. 2.2 RESEARCH METHODOLOGY
  1. 2.2.1 Overview
  2. 2.2.2 Data Mining
  3. 2.2.3 Secondary Research
  4. 2.2.4 Primary Research
    1. 2.2.4.1 Primary Interviews and Information Gathering Process
    2. 2.2.4.2 Breakdown of Primary Respondents
  5. 2.2.5 Forecasting Model
  6. 2.2.6 Market Size Estimation
    1. 2.2.6.1 Bottom-Up Approach
    2. 2.2.6.2 Top-Down Approach
  7. 2.2.7 Data Triangulation
  8. 2.2.8 Validation
3 SECTION III: QUALITATIVE ANALYSIS
1. 3.1 MARKET DYNAMICS
  1. 3.1.1 Overview
  2. 3.1.2 Drivers
  3. 3.1.3 Restraints
  4. 3.1.4 Opportunities
2. 3.2 MARKET FACTOR ANALYSIS
  1. 3.2.1 Value chain Analysis
  2. 3.2.2 Porter's Five Forces Analysis
    1. 3.2.2.1 Bargaining Power of Suppliers
    2. 3.2.2.2 Bargaining Power of Buyers
    3. 3.2.2.3 Threat of New Entrants
    4. 3.2.2.4 Threat of Substitutes
    5. 3.2.2.5 Intensity of Rivalry
  3. 3.2.3 COVID-19 Impact Analysis
    1. 3.2.3.1 Market Impact Analysis
    2. 3.2.3.2 Regional Impact
    3. 3.2.3.3 Opportunity and Threat Analysis
4 SECTION IV: QUANTITATIVE ANALYSIS
1. 4.1 Information and Communications Technology, BY Component (USD Million)
  1. 4.1.1 Hardware
  2. 4.1.2 Software
  3. 4.1.3 Services
2. 4.2 Information and Communications Technology, BY Technology (USD Million)
  1. 4.2.1 Machine Learning
  2. 4.2.2 Natural Language Processing
  3. 4.2.3 Computer Vision
  4. 4.2.4 Context-Aware Computing
  5. 4.2.5 Others
3. 4.3 Information and Communications Technology, BY Type (USD Million)
  1. 4.3.1 Semi-autonomous Vehicles
  2. 4.3.2 Fully Autonomous Vehicles
4. 4.4 Information and Communications Technology, BY Vehicle Type (USD Million)
  1. 4.4.1 Passenger Vehicles
  2. 4.4.2 Commercial Vehicles
5 SECTION V: COMPETITIVE ANALYSIS
1. 5.1 Competitive Landscape
  1. 5.1.1 Overview
  2. 5.1.2 Competitive Analysis
  3. 5.1.3 Market share Analysis
  4. 5.1.4 Major Growth Strategy in the Information and Communications Technology
  5. 5.1.5 Competitive Benchmarking
  6. 5.1.6 Leading Players in Terms of Number of Developments in the Information and Communications Technology
  7. 5.1.7 Key developments and growth strategies
    1. 5.1.7.1 New Product Launch/Service Deployment
    2. 5.1.7.2 Merger & Acquisitions
    3. 5.1.7.3 Joint Ventures
  8. 5.1.8 Major Players Financial Matrix
    1. 5.1.8.1 Sales and Operating Income
    2. 5.1.8.2 Major Players R&D Expenditure. 2023
2. 5.2 Company Profiles
  1. 5.2.1 Waymo (US)
    1. 5.2.1.1 Financial Overview
    2. 5.2.1.2 Products Offered
    3. 5.2.1.3 Key Developments
    4. 5.2.1.4 SWOT Analysis
    5. 5.2.1.5 Key Strategies
  2. 5.2.2 Tesla (US)
    1. 5.2.2.1 Financial Overview
    2. 5.2.2.2 Products Offered
    3. 5.2.2.3 Key Developments
    4. 5.2.2.4 SWOT Analysis
    5. 5.2.2.5 Key Strategies
  3. 5.2.3 Cruise (US)
    1. 5.2.3.1 Financial Overview
    2. 5.2.3.2 Products Offered
    3. 5.2.3.3 Key Developments
    4. 5.2.3.4 SWOT Analysis
    5. 5.2.3.5 Key Strategies
  4. 5.2.4 Aurora (US)
    1. 5.2.4.1 Financial Overview
    2. 5.2.4.2 Products Offered
    3. 5.2.4.3 Key Developments
    4. 5.2.4.4 SWOT Analysis
    5. 5.2.4.5 Key Strategies
  5. 5.2.5 Mobileye (IL)
    1. 5.2.5.1 Financial Overview
    2. 5.2.5.2 Products Offered
    3. 5.2.5.3 Key Developments
    4. 5.2.5.4 SWOT Analysis
    5. 5.2.5.5 Key Strategies
  6. 5.2.6 Baidu (CN)
    1. 5.2.6.1 Financial Overview
    2. 5.2.6.2 Products Offered
    3. 5.2.6.3 Key Developments
    4. 5.2.6.4 SWOT Analysis
    5. 5.2.6.5 Key Strategies
  7. 5.2.7 Nuro (US)
    1. 5.2.7.1 Financial Overview
    2. 5.2.7.2 Products Offered
    3. 5.2.7.3 Key Developments
    4. 5.2.7.4 SWOT Analysis
    5. 5.2.7.5 Key Strategies
  8. 5.2.8 Zoox (US)
    1. 5.2.8.1 Financial Overview
    2. 5.2.8.2 Products Offered
    3. 5.2.8.3 Key Developments
    4. 5.2.8.4 SWOT Analysis
    5. 5.2.8.5 Key Strategies
  9. 5.2.9 Pony.ai (CN)
    1. 5.2.9.1 Financial Overview
    2. 5.2.9.2 Products Offered
    3. 5.2.9.3 Key Developments
    4. 5.2.9.4 SWOT Analysis
    5. 5.2.9.5 Key Strategies
3. 5.3 Appendix
  1. 5.3.1 References
  2. 5.3.2 Related Reports
6 LIST OF FIGURES
1. 6.1 MARKET SYNOPSIS
2. 6.2 US MARKET ANALYSIS BY COMPONENT
3. 6.3 US MARKET ANALYSIS BY TECHNOLOGY
4. 6.4 US MARKET ANALYSIS BY TYPE
5. 6.5 US MARKET ANALYSIS BY VEHICLE TYPE
6. 6.6 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
7. 6.7 RESEARCH PROCESS OF MRFR
8. 6.8 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
9. 6.9 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
10. 6.10 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
11. 6.11 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY
12. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY COMPONENT, 2024 (% SHARE)
13. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY COMPONENT, 2024 TO 2035 (USD Million)
14. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE)
15. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Million)
16. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TYPE, 2024 (% SHARE)
17. 6.17 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TYPE, 2024 TO 2035 (USD Million)
18. 6.18 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY VEHICLE TYPE, 2024 (% SHARE)
19. 6.19 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY VEHICLE TYPE, 2024 TO 2035 (USD Million)
20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
7 LIST OF TABLES
1. 7.1 LIST OF ASSUMPTIONS
7.1.1
1. 7.2 US MARKET SIZE ESTIMATES; FORECAST
  1. 7.2.1 BY COMPONENT, 2025-2035 (USD Million)
  2. 7.2.2 BY TECHNOLOGY, 2025-2035 (USD Million)
  3. 7.2.3 BY TYPE, 2025-2035 (USD Million)
  4. 7.2.4 BY VEHICLE TYPE, 2025-2035 (USD Million)
2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
7.3.1
1. 7.4 ACQUISITION/PARTNERSHIP
7.4.1

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US US Applied AI in Autonomous Vehicles Market Segmentation

US Applied AI in Autonomous Vehicles Market By Component (USD Million, 2025-2035)

Hardware
Software
Services

US Applied AI in Autonomous Vehicles Market By Technology (USD Million, 2025-2035)

Machine Learning
Natural Language Processing
Computer Vision
Context-Aware Computing
Others

US Applied AI in Autonomous Vehicles Market By Type (USD Million, 2025-2035)

Semi-autonomous Vehicles
Fully Autonomous Vehicles

US Applied AI in Autonomous Vehicles Market By Vehicle Type (USD Million, 2025-2035)

Passenger Vehicles
Commercial Vehicles

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