Wilmington, Delaware, United States, Transparency Market Research, Inc. , Oct. 08, 2024 (GLOBE NEWSWIRE) -- The global artificial intelligence (AI) market in automotive is estimated to thrive at a CAGR of 15.6% from 2024 to 2034. Transparency Market Research projects that the overall sales revenue for artificial intelligence (AI) market in automotive (자동차 인공지능(AI) 시장) is estimated to reach US$ 13.0 billion by the end of 2034.
A significant driver is the rise of edge computing in automotive AI applications. Edge computing enables data processing closer to the source, reducing latency and enhancing real-time decision-making capabilities in autonomous vehicles and connected cars.
The emergence of AI-powered cybersecurity solutions is gaining traction in the automotive sector. As vehicles become more connected and autonomous, the threat landscape expands, necessitating robust cybersecurity measures to protect against potential cyberattacks and data breaches.
The integration of AI in automotive design and manufacturing processes is streamlining product development and improving operational efficiency. AI-driven design tools and simulation software optimize vehicle performance, reduce time to market, and minimize manufacturing defects, driving cost savings and enhancing product quality.
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Artificial Intelligence (AI) Market in Automotive: Competitive Landscape
In the fiercely competitive artificial intelligence (AI) market in automotive, industry leaders such as NVIDIA, Intel, and Alphabet's Waymo drive innovation with advanced AI solutions.
These companies specialize in developing AI-powered systems for autonomous driving, vehicle connectivity, and predictive maintenance. Emerging players like Mobileye and Argo AI challenge incumbents with specialized expertise in computer vision and machine learning algorithms.
Traditional automotive manufacturers such as Toyota and BMW are investing heavily in AI research and development to integrate intelligent features into their vehicles. The competitive landscape continually evolves as companies vie for dominance in shaping the future of automotive AI technology. Some prominent players are as follows:
- Waymo
- Tesla Inc.
- NVIDIA Corporation
- Intel Corporation
- Bosch Group
- Mobileye
- Aptiv PLC
- Daimler AG
- Ford Motor Company
- General Motors Company
- Toyota Motor Corporation
- BMW Group
- Audi AG
- Continental AG
- Uber Technologies Inc.
- Volvo Cars
- ZF Friedrichshafen AG
- Valeo SA
- Hyundai Motor Company
- Baidu Inc.
Product Portfolio
- Waymo, a subsidiary of Alphabet Inc., pioneers autonomous driving technology. Their self-driving vehicles utilize advanced sensors and AI algorithms to navigate roads safely, offering a glimpse into the future of transportation.
- Tesla, Inc. revolutionizes the automotive industry with electric vehicles, solar energy solutions, and energy storage products. Their innovative technology and sustainable approach redefine mobility and energy consumption worldwide.
Key Findings of the Market Report
- SUVs lead the AI market in automotive due to their popularity and demand for advanced safety, connectivity, and autonomous driving features.
- Computer vision emerges as the leading technology type segment in the AI market in automotive, enabling advanced perception and recognition capabilities in vehicles.
- Processors emerge as the leading component type segment in the AI market in automotive, driving advancements in computational power and efficiency.
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Artificial Intelligence (AI) Market in Automotive Growth Drivers & Trends
- Increasing demand for autonomous vehicles and connected car technologies drives growth in the AI market for automotive applications.
- Technological advancements in machine learning and computer vision enable enhanced vehicle safety and performance.
- Collaborations between automakers and tech companies accelerate AI integration in vehicles.
- Growing emphasis on predictive maintenance and vehicle analytics fosters AI adoption in automotive manufacturing and operations.
- Regulatory initiatives and government support for AI research and development propel innovation and market expansion in the automotive sector.
Global Artificial Intelligence (AI) Market in Automotive: Regional Profile
- North America leads the charge, boasting a robust ecosystem of AI startups, tech giants, and automotive manufacturers. Silicon Valley serves as the epicenter of AI innovation, with companies like NVIDIA, Tesla, and Alphabet's Waymo driving advancements in autonomous driving technology.
- Partnerships between automakers and tech firms accelerate AI integration in vehicles, positioning North America as a frontrunner in shaping the future of automotive AI.
- Europe showcases a rich heritage of automotive engineering excellence, with companies like BMW, Daimler, and Volkswagen embracing AI to enhance vehicle performance and safety.
- Collaborations between European automakers and AI startups foster innovation in areas such as predictive maintenance and intelligent manufacturing, bolstering Europe's position as a key player in automotive AI development.
- In Asia Pacific, rapid urbanization and technological innovation fuel the adoption of AI in automotive applications. Companies like Toyota, Hyundai, and Baidu lead the region's AI initiatives, leveraging AI-driven solutions for autonomous vehicles, smart mobility, and connected car technologies.
- Government support for AI research and development further accelerates market growth, making Asia Pacific a dynamic hub for automotive AI innovation.
Artificial Intelligence (AI) Market in Automotive: Key Segments
By Vehicle Type
- Passenger Cars
- Hatchback
- Sedan
- SUVs
- Light Commercial Vehicles
- Heavy Duty Trucks
- Buses and Coaches
- Off-road Vehicles
- Agriculture Equipment
- Industrial Equipment
- Construction and Mining Equipment
By Technology Type
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Natural Language Processing (NLP)
- Computer Vision
- Speech Recognition
- Others
By Component Type
- Hardware
- Sensors
- Processors
- Graphic Processing Units
- Others
- Software
- Services
By Level of Autonomy
- Level 1: Driver Assistance
- Level 2: Partial Automation
- Level 3: Conditional Automation
- Level 4: High Automation
- Level 5: Full Automation
By Application
- Autonomous Driving
- Predictive Maintenance
- Driver Assistance Systems
- In-car Personal Assistants
- Natural Language Processing (NLP) for Voice Recognition
- Computer Vision for Object Detection and Recognition
- Virtual Assistants for Infotainment Systems
- AI-based Navigation Systems
- Vehicle-to-Everything (V2X) Communication
- Others
By End User
- OEM
- Fleet Operators
- Mobility Service Providers
- Others
By Region
- North America
- Europe
- Asia Pacific
- South America
- Middle East & Africa
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