The Artificial Intelligence (AI) in Automotive and Transportation Market reports delivers an in-depth assessment of market size, share, and emerging trends, offering valuable insights into growth opportunities. It examines market segmentation and definitions, highlighting core components and key drivers of expansion. By applying SWOT and PESTEL analyses, the study evaluates the sector’s strengths, weaknesses, opportunities, and threats, while also considering political, economic, social, technological, environmental, and legal factors. Expert reviews of competitor strategies and recent developments provide a clearer view of regional dynamics and future market trajectories, establishing a strong foundation for strategic planning and informed investment decisions.

What will be the market size of Global Artificial Intelligence (AI) in Automotive and Transportation Market 2030?

The Artificial Intelligence (AI) in Automotive and Transportation Market size was valued at around USD 5.19 billion in 2024 and is projected to reach USD 9.18 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 9.97% during the forecast period, i.e., 2025-30.

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Who are the top companies operating in the Global Artificial Intelligence (AI) in Automotive and Transportation Market?

The report features prominent companies operating in the Artificial Intelligence (AI) in Automotive and Transportation Market and the successful strategies they have adopted. It also provides detailed insights into each company’s market share and their role in driving the industry’s growth. As per MarkNtel Advisors, top companies in Artificial Intelligence (AI) in Automotive and Transportation Market: Continental AG, Denso Corporation, Nvidia Corporation, Intel Corporation, Harman International, AI Motive, Argo AI, Siemens, Thales Group, CarVi, Valeo, Optalert, Orbcomm Inc, Visteon Corporation

What is the key factor projected to fuel growth in the Global Artificial Intelligence (AI) in Automotive and Transportation Market between 2025 and 2030?

Mounting Inclination Toward Autonomous Vehicles Driving Market Demand – With the advent of AI in automobiles, the demand for autonomous vehicles is rising substantially, owing to features like self-driving, autopilot, and automatic parking, among others, to reduce human efforts while driving. The increasing inclination of major automakers toward creating autonomous cars & driving features, and the surging number of tech companies & start-ups are forming the idea of self-driving vehicles for public transportation, ride-sharing, and personal requirements.

Prominent automakers like Tesla are the ideal example of autonomous vehicles with systems like keeping the vehicle within a lane while driving, self-parking, auto changing lanes whenever required, etc. Hence, these aspects are projected to be the major drivers for Global Artificial Intelligence (AI) in the Automotive and Transportation Market during 2025-30.

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Global Artificial Intelligence (AI) in Automotive and Transportation Market - Segmentation Analysis

• By Application (Human-Machine Interface {Central Display, Instrument Cluster, Steering Mounted Control, Head-up Display}, Driver Monitoring {Physiological Measurement, Facial Movement and Eye Detection}, Driver/ Identity Authentication {Finger, Facial and Iris, Voice}, Autonomous Driving Processing Chips, Intelligent Traffic Management System)

• By Vehicle Type (Passenger Vehicles, Light Commercial Vehicles, Heavy Trucks, Heavy Buses)

• By Component (Hardware, Software)

• By Level of Autonomy (Level 1, Level 2, Level 3, Level 4, Level 5)

• By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Deep Learning)

 How does the Global Artificial Intelligence (AI) in Automotive and Transportation Market vary across different geography?

By Region

• North America

• South America

• Europe

• The Middle East & Africa

• Asia-Pacific

 This Section cover detailed analysis of revenue, market share and growth rate, historical data (2020-23) and forecast (2025-2030) of the following segmentation and geography.

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Comprehensive Table of Contents – Global Artificial Intelligence (AI) in Automotive and Transportation Market Analysis and Forecast, 2030

1. Table 1: Introduction

2. Table 2: Executive Summary

3. Table 3: Market Regulations, Policies & Standards

4. Table 4: Artificial Intelligence (AI) in Automotive and Transportation Market Size, Share & Scope, 2020-2030

5. Table 5: Market Trends & Developments

6. Table 6: Market Dynamics (Key Drivers, and Challenges)

7. Table 7: Market Hotspots & Opportunities

8. Table 8: Market Value Chain Analysis

9. Table 9: Market Outlook, 2020-2030

10. Table 10: Market Size & Analysis by Revenues (USD Million): 

11. Table 11: Market Size & Forecast 2020-2030 by Segmentation

12. Table 12: Market Size & Forecast 2020-2030 by Geography

13. Table 13: Key Strategic Imperatives for Success & Growth

14. Table 14: Competitor Analysis of Artificial Intelligence (AI) in Automotive and Transportation Companies

Key Benefits for Industry Participants and Stakeholders

• Insight into emerging market trends and investment opportunities

• Understanding of regional market dynamics and competitive landscapes

• Data-driven forecasts to support strategic decision-making

• Access to industry benchmarks for performance evaluation

• Identification of potential risks and growth challenges

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MarkNtel Advisors is a leading consulting, data analytics, and market research firm that provides an extensive range of strategic reports on diverse industry verticals. We being a qualitative & quantitative research company, strive to deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, and individuals, among others.

We have our existence across the market for many years and have conducted multi-industry research across 80+ countries, spreading our reach across numerous regions like America, Asia-Pacific, Europe, the Middle East & Africa, etc., and many countries across the regional scale, namely, the US, India, the Netherlands, Saudi Arabia, the UAE, Brazil, and several others.

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