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Artificial Intelligence (AI) in Automotive and Transportation Market Size, Share & Forecast Analysis to 2030

The Artificial Intelligence (AI) in Automotive and Transportation Market report by MarkNtel Advisors provides an in-depth analysis of market size, share, and growth prospects, offering valuable insights for stakeholders

Artificial Intelligence (AI) in Automotive and Transportation Market Size & Insights

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.

What are the Key DROs in the Artificial Intelligence (AI) in Automotive and Transportation Market??

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.

What are the Key Segments in the Artificial Intelligence (AI) in Automotive and Transportation Market?

The Artificial Intelligence (AI) in Automotive and Transportation is categorized into notable segments, which help in understanding the structure, dynamics, and opportunities within the market. These segments are typically based on:

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

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How does geographical analysis highlight in the Artificial Intelligence (AI) in Automotive and Transportation market?

By Region

  • North America
  • South America
  • Europe
  • Middle East & Africa
  • Asia-Pacific

Who are the Key Players 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

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Artificial Intelligence (AI) in Automotive and Transportation Market News

  • 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.

Key pillars of the research methodology include:

  • Scope & Research Design – Clearly defined objectives with tailored qualitative and quantitative methods, backed by precise timelines and budgets.
  • Sample Selection & Data Collection – Representative samples achieved through proven techniques like random and stratified sampling, supported by reliable tools such as surveys, interviews, and observations.
  • Data Analysis & Validation – Rigorous cleaning, advanced statistical modeling, and thematic analysis ensure accuracy, reliability, and minimal bias.
  • Forecasting & Finalization – Predictive modeling and time-series analysis anticipate future market behaviors, presented through insightful reports with charts, graphs, and strategic recommendations.

"Our methodology reflects the trust businesses place in us. By combining innovation with precision, we deliver not just numbers, but clarity and direction for decision-makers worldwide," said a spokesperson for MarkNtel Advisors.

Why This MarkNtel Advisors Research Report:

  • In-depth Market Analysis: Understand trends and dynamics shaping growth.
  • Segmented Insights: Target specific segments for focused strategies.
  • Geographical Performance: Assess market opportunities by geographic area.
  • Emerging Technologies: Discover advancements like AI integration.
  • Risk Identification: Pinpoint challenges to inform strategic planning.
  • Future Forecasts: Prepare for market changes with actionable projections.

Gain exclusive access to our comprehensive insights on the Future of Artificial Intelligence (AI) in Automotive and Transportation Market. With tailored licensing options, including Mini Report Pack, Excel Data Pack, Single User, Multiuser, and Enterprise Packs, our research empowers organizations to navigate dynamic market trends effectively.

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