Global Artificial Intelligence (AI) in Automotive and Transportation Market Research Report: Forecast (2025-2030)
Artificial Intelligence (AI) in Automotive and Transportation Market - 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), By Region (North America, South America, Europe, Asia-Pacific, Middle East & Africa), By Country (U.S, Canada, Brazil, Argentina, Mexico, Germany, France, The U.K, Spain, Italy, China, India, Japan, Australia, South Korea, UAE, Saudi Arabia, South Africa), By Competitors (Continental AG, Denso Corporation, Nvidia Corporation, Intel Corporation, Harman International, AI Motive, Argo AI, Siemens, Thales Group, CarVi, Valeo, Optalert, Orbcomm Inc., Visteon Corporation), and others Read more
- ICT & Electronics
- Aug 2025
- Pages 189
- Report Format: PDF, Excel, PPT
Global Artificial Intelligence (AI) in Automotive and Transportation Market
Projected 9.97% CAGR from 2025 to 2030
Study Period
2025-2030
Market Size (2024)
5.19 Billion
Market Size (2030)
9.18 Billion
Largest Region
North America
Projected CAGR
9.97%
Leading Segments
By Technology: Deep Learning
Market Insights & Analysis: Global Artificial Intelligence (AI) in Automotive and Transportation Market (2025-30):
The Global 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. This is due to the rapidly increasing adoption & utilization of advanced technologies like artificial intelligence (AI) in the automotive transportation sector to bring operational efficiency and safety to vehicles & drivers. The mounting promotion of automated & electric vehicles (EVs) integrated with Advanced Driver Assistance Systems (ADAS) by governments of different countries worldwide to ensure vehicle safety is also projected to drive the market during the forecast period.
Besides, technologies like deep learning are swiftly gaining momentum across the automotive sector to develop autonomous vehicles with capabilities to see, think, drive, and learn. Several prominent automakers are actively developing self-driving trucks equipped with these technologies for image processing, speech recognition, and data analysis, thereby contributing substantially to the overall industry growth. In addition, autonomous vehicles, with their potential to revolutionize transportation & improve road safety, continue to be a primary driver of AI adoption in the automotive sector. Major companies, including tech giants & traditional automakers, are heavily investing in AI-driven self-driving technology. This innovation is pushing the boundaries of what's possible, with varying levels of automation from driver assistance to market growth globally.
Furthermore, innovative technologies are revolutionizing urban mobility by optimizing traffic flow, reducing congestion, and enhancing road safety. In today's increasingly urbanized world, where population density and traffic congestion are growing concerns, AI-based traffic management solutions offer a way forward. By leveraging real-time data from various sources, including sensors, cameras, and connected vehicles, these systems can make intelligent decisions to dynamically adjust traffic signals, reroute vehicles, and provide drivers with real-time navigation guidance. This results in smoother traffic flows, reduced travel times, and minimized gridlock, ultimately leading to less fuel consumption & environmental impact.
Moreover, the market for AI-driven traffic management is expanding as cities seek sustainable and efficient transportation solutions. The adoption of smart city initiatives is driving significant demand for these technologies, creating opportunities for companies specializing in AI-powered traffic management systems, data analytics, and infrastructure solutions. Furthermore, the potential for cost savings and the ability to reduce accidents make these technologies compelling for governments and municipalities. As urban populations continue to grow, AI's role in improving traffic management is poised for continued growth & innovation, making it a key driver of urban transportation evolution.
Global Artificial Intelligence (AI) in Automotive and Transportation Market Scope:
| Category | Segments |
|---|---|
| By Application | Human-Machine Interface, Driver Monitoring, Driver/ Identity Authentication, 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 |
Global Artificial Intelligence (AI) in Automotive and Transportation Market Driver:
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.
Global Artificial Intelligence (AI) in Automotive and Transportation Market Opportunity:
AI-Powered Fleet Management Creating Growth Opportunities – In the rapidly evolving landscape of the automotive & transportation industry, the segment of fleet management presents a compelling market opportunity. The integration of AI-powered solutions is reshaping the way logistics & fleet companies operate. These solutions offer numerous advantages, including route optimization, real-time monitoring of vehicle health, and heightened overall operational efficiency. By leveraging AI, fleet managers can dynamically adjust routes as per the traffic, weather, and other variables, resulting in reduced fuel costs and quicker deliveries.
Moreover, AI-driven predictive maintenance ensures that vehicles remain in peak condition, minimizing unexpected breakdowns and associated downtime. This contributes to substantial cost savings and improved customer satisfaction. As the demand for efficient, sustainable, and cost-effective transportation solutions continues to grow, AI-powered fleet management is poised to be a transformative force in the industry, offering companies a competitive edge and streamlining their operations.
Global Artificial Intelligence (AI) in Automotive and Transportation Market Challenge:
Security & Privacy Concerns – While manufacturers are integrating AI technologies, threats & concerns like data breaches, security & privacy concerns, cyber-attacks, & driver distractions, among others, are a few aspects that might restrain the Artificial Intelligence in Automotive & Transportation Market growth during the forecast period. It includes threats like glitches in the dashboard computers that allow hackers to disable vehicles or implant malware in the car system. For instance, approximately 409 cyberattacks were recorded in 2024, a spike of 38% and 60% of such attacks affected millions of assets. Thus, the adoption of AI is one of the factors that contribute to this spike; hence, these cases & possibilities are deterring the customers from adopting AI-enabled vehicles.
Global Artificial Intelligence (AI) in Automotive and Transportation Market Trend:
AI-Powered Innovations Transforming Automotive Landscape – In the ever-evolving Automotive & Transport Market, AI-powered systems have taken center stage, revolutionizing the driving experience. These advanced systems are seamlessly integrated into vehicles, enabling a new era of connectivity and convenience. From sophisticated infotainment systems that provide passengers with a wealth of entertainment and information options to advanced navigation tools that offer real-time traffic updates & optimized routes, AI is reshaping the way of interact with vehicles.
Moreover, predictive maintenance capabilities driven by AI ensure that vehicles run smoothly by proactively identifying & addressing maintenance needs, reducing downtime & operational costs. Additionally, AI facilitates vehicle-to-vehicle communication, enhancing safety & efficiency on the road by enabling cars to exchange critical information. As AI continues to permeate the automotive industry, it's not only improving our driving experience but paving the way for a smarter, safer, and more connected future in transportation.
Global Artificial Intelligence (AI) in Automotive and Transportation Market (2025-30): Segmentation Analysis
The Global Artificial Intelligence (AI) in Automotive and Transportation Market study of MarkNtel Advisors evaluates & highlights the major trends and influencing factors in each segment. It includes predictions for the period 2025–2030 at the global level. Based on the analysis, the market has been further classified as:
Based on Technology:
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
- Deep Learning
Deep Learning is anticipated to dominate the Artificial Intelligence in Automotive & Transportation Market with the largest share of around 31% during the forecast period. It is attributed primarily to its features like image, voice recognition & anomaly detection, and the human-like behavior, used mainly for voice search, sentiment analysis, motion detection, and others, thus ensuring the safety of the driver and passengers. Thus, these models are AI-based; they reduce the probability of errors, providing an efficient and fast decision-making process. Further, huge investments are made in the development and refining of deep learning solutions by leading key players, for low power consumption and improving the efficiency of fuels in vehicles, hence increasing the demand, facilitating the large market share of deep learning technology in the market worldwide.
Based on Application:
- Human Machine Interface
- Driver Monitoring
- Driver/Identity Authentication
- Autonomous Driving Processing Chips
- Intelligent Traffic Management System
Human Machine Interface (HMI) is anticipated to contribute substantially to the market growth during the forecast period, with an expected market share of 37%. It owes principally to its capabilities to inform drivers about the road or vehicle conditions, provide timely alarms & warnings, and help them make sound decisions, thereby contributing to a safer driving experience. Nevertheless, several prominent automakers are now pre-installing HMI systems in vehicles for customers to enhance their overall driving experience.
Additionally, features like reliable messaging, easier management, accuracy in testing simulations, and attaining visuals inside the engine, among others, are further promoting the utilization of AI in HMI devices, augmenting the overall growth of the Artificial Intelligence in Automotive & Transportation Market.
Global Artificial Intelligence (AI) in Automotive and Transportation Market (2025-30): Regional Projections
Geographically, the Global Artificial Intelligence (AI) in Automotive and Transportation Market expands across:
- North America
- South America
- Europe
- The Middle East and Africa
- Asia-Pacific
North America dominated the Artificial Intelligence (AI) in the Automotive & Transportation Industry with the largest share in recent years and is projected to prevail in the same trend during the forecast period, with a market share of around 40%. The countries in this region are early adopters of electric & autonomous vehicles with advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing, Context-Aware Computing, Computer Vision & Deep Learning, etc. Hence, it is witnessing a mounting utilization of AI across its automotive & transportation sectors, i.e., assisting drivers with features like voice search, image recognition, voice command, and others. Additionally, the region's robust financial base stimulated funding across leading technologies in the field of AI, thereby augmenting the North American Artificial Intelligence (AI) Industry in the automotive and transportation sector.
Global Artificial Intelligence (AI) in Automotive and Transportation Industry Recent Development:
- 2025: Continental AG announced a long-term partnership with Aurora and NVIDIA at CES 2025 to develop autonomous trucks. These next-generation vehicles will integrate NVIDIA’s DRIVE Thor–based systems with Continental’s high-performance automotive hardware, marking a significant step toward scalable, production-ready autonomous freight solutions.
- 2025: NVIDIA Corporation announced a strategic collaboration with Hyundai Motor Group to integrate NVIDIA accelerated computing, Omniverse, AI Enterprise software, and Isaac robotics across Hyundai’s manufacturing and data operations, enhancing factory automation, simulation, and digital twin capabilities for next-generation automotive production.
Gain a Competitive Edge with Our Global Artificial Intelligence (AI) in Automotive and Transportation Market Report
- Global Artificial Intelligence (AI) in Automotive and Transportation Market Report by MarkNtel Advisors provides a detailed & thorough analysis of market size & share, growth rate, competitive landscape, and key players. This comprehensive analysis helps businesses gain a holistic understanding of the market dynamics & make informed decisions.
- This report also highlights current market trends & future projections, allowing businesses to identify emerging opportunities & potential challenges. By understanding market forecasts, companies can align their strategies & stay ahead of the competition.
- Global Artificial Intelligence (AI) in Automotive and Transportation Market Report aids in assessing & mitigating risks associated with entering or operating in the market. By understanding market dynamics, regulatory frameworks, and potential challenges, businesses can develop strategies to minimize risks & optimize their operations.
*Reports Delivery Format - Market research studies from MarkNtel Advisors are offered in PDF, Excel and PowerPoint formats. Within 24 hours of the payment being successfully received, the report will be sent to your email address.
Frequently Asked Questions
- Introduction
- Product Definition
- Research Process
- Assumptions
- Market Segmentation
- Preface
- Executive Summary
- Impact of COVID-19 on Global Artificial Intelligence (AI) Market in Automotive and Transportation Market
- Global Artificial Intelligence (AI) Market in Automotive and Transportation Market Trends & Insights
- Global Artificial Intelligence (AI) Market in Automotive and Transportation Market Dynamics
- Drivers
- Challenges
- Impact Analysis
- Global Artificial Intelligence (AI) Market in Automotive and Transportation Market Hotspots & Opportunities
- Global Artificial Intelligence (AI) Market in Automotive and Transportation Market Regulations & Policy
- Global Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020- 2030F
- Market Size & Analysis
- By Revenue
- Market Share & 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
- Human-Machine Interface
- 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
- By Region
- North America
- South America
- Europe
- Middle East & Africa
- Asia-Pacific
- By Competitors
- Competition Characteristics
- Market Share & Analysis
- Competitive Metrix
- By Application
- Market Size & Analysis
- North America Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020-2030F
- Market Size & Analysis
- By Revenue
- Market Share & Analysis
- By Application
- By Vehicle Type
- By Component
- By Level of Autonomy
- By Technology
- By Country
- The US
- Canada
- Mexico
- Market Size & Analysis
- South America Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020-2030F
- Market Size & Analysis
- By Revenue
- Market Share & Analysis
- By Application
- By Vehicle Type
- By Component
- By Level of Autonomy
- By Technology
- By Country
- Brazil
- Argentina
- Others
- Market Size & Analysis
- Europe Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020-2030F
- Market Size & Analysis
- By Revenue
- Market Share & Analysis
- By Application
- By Vehicle Type
- By Level of Autonomy
- By Component
- By Technology
- By Country
- Germany
- The UK
- France
- Italy
- Spain
- Others
- Market Size & Analysis
- Middle East & Africa Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020-2030F
- Market Size & Analysis
- By Revenue
- Market Share & Analysis
- By Application
- By Vehicle Type
- By Level of Autonomy
- By Country
- UAE
- Saudi Arabia
- South Africa
- Others
- Market Size & Analysis
- Asia Pacific Artificial Intelligence (AI) Market in Automotive and Transportation Market Outlook, 2020-2030F
- Market Size & Analysis
- By Revenue
- Market Share & Analysis
- By Application
- By Vehicle Type
- By Level of Autonomy
- By Component
- By Technology
- By Country
- China
- India
- Japan
- South Korea
- Australia
- Others
- Market Size & Analysis
- Key Strategic Imperatives in Success and Growth
- Competition Outlook
- Competition Matrix
- Product Portfolio
- Target Markets
- Target End Users
- Research & Development
- Strategic Alliances
- Strategic Initiatives
- Company Profiles
- Continental AG
- Denso Corporation
- Nvidia Corporation
- Intel Corporation
- Harman International
- AI Motive
- Argo AI
- Siemens
- Thales Group
- CarVi
- Valeo
- Optalert
- Orbcomm Inc.
- Visteon Corporation
- Competition Matrix
- Disclaimer
MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:
1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.
2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.
3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.
4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making








