Automotive Artificial Intelligence Market Size, Share, Trends, Growth Outlook

Automotive Artificial Intelligence Market is estimated to increase at a growth rate of 27.5% CAGR over the forecast period from 2024 to 2030.

The global Automotive Artificial Intelligence Market study analyzes and forecasts the market size across 6 regions and 24 countries for diverse segments including By Offering (Hardware, Software), By Technology (Deep Learning, Machine Learning, Context-aware Computing, Computer Vision, Natural Language Processing), By Process (Signal Recognition, Image Recognition, Data Mining), By Application (Human–Machine Interface, Semi-autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, Autonomous Driving Processor Chips), By Component (Graphics processing unit (GPU), Microprocessors, Field Programmable Gate Array (FPGA), Memory and Storage systems, Image Sensors, Biometric Scanners, Others).

An Introduction to Global Automotive Artificial Intelligence Market, 2024

The Automotive Artificial Intelligence (AI) market is a transformative segment of vehicle technology, integrating AI-powered systems and algorithms to enhance vehicle autonomy, safety, and convenience. AI applications in automotive include advanced driver assistance systems (ADAS), autonomous driving technology, predictive maintenance, and personalized infotainment. With the automotive industry's focus on autonomy, connectivity, and data-driven decision-making, the demand for AI solutions continues to grow. Manufacturers in this market focus on developing AI algorithms, machine learning models, and sensor fusion technologies to enable intelligent decision-making and perception capabilities in vehicles. Moreover, advancements in AI technology, including neural networks, deep learning, and natural language processing, drive innovation, enabling vehicles to interpret complex data, anticipate driver behavior, and adapt to changing road conditions. Additionally, as vehicle designs evolve to incorporate more AI-driven features and autonomous functionalities, the Automotive AI market is poised for exponential growth and innovation, offering opportunities for collaboration, research, and development to shape the future of mobility.

Automotive Artificial Intelligence Competitive Landscape

The global Automotive Artificial Intelligence market is highly competitive with a large number of companies focusing on niche market segments. Amidst intense competitive conditions, Automotive Artificial Intelligence Companies are investing in new product launches and strengthening distribution channels. Key companies operating in the Automotive Artificial Intelligence Market Industry include- Alphabet Inc, Audi AG, Automotive Artificial Intelligence GmbH, BMW AG, Daimler AG, Didi Chuxing Technology Co. Ltd, Ford Motor Company, General Motors Company, Harman International Industries Inc, Honda Motor Co. Ltd, Hyundai Motor Corp, IBM Corp, Intel Corp, Micron Technology, Microsoft Corp, Mitsubishi Electric Corp, Motor Corp, Nvidia Corp, Qualcomm Inc, Tesla Inc, Uber Technologies Inc, Volvo Car Corp, Xilinx Inc.

Automotive Artificial Intelligence Market Trend: Advancements in Autonomous Vehicles

The automotive artificial intelligence market is witnessing a significant trend towards the advancement of autonomous vehicles. This trend is fueled by continuous technological innovations and breakthroughs in AI algorithms, sensor technologies, and computing power. The growing demand for safer and more efficient transportation solutions is driving automakers to invest heavily in AI-driven autonomous vehicle technologies. Companies are leveraging machine learning and deep learning algorithms to enhance perception, decision-making, and control systems in self-driving cars. Additionally, the increasing adoption of connected and electric vehicles is further propelling the integration of AI in automotive systems, leading to the development of smarter and more capable vehicles.

Automotive Artificial Intelligence Market Driver: Rising Focus on Driver Assistance Systems

A key driver propelling the growth of the automotive artificial intelligence market is the escalating focus on driver assistance systems. With the aim of enhancing vehicle safety and improving the overall driving experience, automakers are increasingly incorporating AI-driven technologies such as adaptive cruise control, lane-keeping assistance, collision avoidance systems, and advanced driver monitoring systems. The rising consumer demand for vehicles equipped with intelligent safety features, coupled with stringent safety regulations imposed by governing bodies, is stimulating the adoption of AI-powered driver assistance systems across the automotive industry. Moreover, the integration of AI enables vehicles to analyze real-time data from various sensors and cameras to anticipate potential hazards and assist drivers in making informed decisions, thereby reducing the risk of accidents and fatalities on the roads.

Automotive Artificial Intelligence Market Opportunity: Personalized In-Car Experience

An emerging opportunity within the automotive artificial intelligence market lies in the development of personalized in-car experiences. As AI technologies continue to evolve, there is immense potential to create tailored and intuitive interfaces that cater to the preferences and needs of individual drivers and passengers. By leveraging machine learning algorithms and data analytics, automakers can analyze behavior, preferences, and contextual data to customize in-car features such as infotainment systems, climate control, navigation, and voice assistants. Furthermore, the integration of biometric sensors and facial recognition technologies can enable vehicles to identify occupants and adjust settings accordingly, providing a seamless and personalized driving experience. Capitalizing on this opportunity not only enhances customer satisfaction and brand loyalty but also opens up new revenue streams for automotive manufacturers through subscription-based services and aftermarket upgrades.

Automotive Artificial Intelligence Market Segmentation

By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
OthersGeographical Analysis
North America (United States, Canada, Mexico)
Europe (Germany, France, United Kingdom, Spain, Italy, Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific)
South America (Brazil, Argentina, Rest of South America)
Middle East and Africa (Saudi Arabia, UAE, Rest of Middle East, South Africa, Egypt, Rest of Africa

Automotive Artificial Intelligence Companies

Alphabet Inc
Audi AG
Automotive Artificial Intelligence GmbH
BMW AG
Daimler AG
Didi Chuxing Technology Co. Ltd
Ford Motor Company
General Motors Company
Harman International Industries Inc
Honda Motor Co. Ltd
Hyundai Motor Corp
IBM Corp
Intel Corp
Micron Technology
Microsoft Corp
Mitsubishi Electric Corp
Motor Corp
Nvidia Corp
Qualcomm Inc
Tesla Inc
Uber Technologies Inc
Volvo Car Corp
Xilinx Inc
*- List not Exhaustive

TABLE OF CONTENTS

1 Introduction to 2024 Automotive Artificial Intelligence Market
1.1 Market Overview
1.2 Quick Facts
1.3 Scope/Objective of the Study
1.4 Market Definition
1.5 Countries and Regions Analyzed
1.6 Units, Currency, and Conversions
1.7 Industry Value Chain

2 Research Methodology
2.1 Market Size Estimation
2.2 Sources and Research Methodology
2.3 Data Triangulation
2.4 Assumptions and Limitations

3 Executive Summary
3.1 Global Automotive Artificial Intelligence Market Size Outlook, $ Million, 2021 to 2030
3.2 Automotive Artificial Intelligence Market Outlook by Type, $ Million, 2021 to 2030
3.3 Automotive Artificial Intelligence Market Outlook by Product, $ Million, 2021 to 2030
3.4 Automotive Artificial Intelligence Market Outlook by Application, $ Million, 2021 to 2030
3.5 Automotive Artificial Intelligence Market Outlook by Key Countries, $ Million, 2021 to 2030

4 Market Dynamics
4.1 Key Driving Forces of Automotive Artificial Intelligence Industry
4.2 Key Market Trends in Automotive Artificial Intelligence Industry
4.3 Potential Opportunities in Automotive Artificial Intelligence Industry
4.4 Key Challenges in Automotive Artificial Intelligence Industry

5 Market Factor Analysis
5.1 Value Chain Analysis
5.2 Competitive Landscape
5.2.1 Global Automotive Artificial Intelligence Market Share by Company (%), 2023
5.2.2 Product Offerings by Company
5.3 Porter’s Five Forces Analysis
5.4 Pricing Analysis and Outlook

6 Growth Outlook Across Scenarios
6.1 Growth Analysis-Case Scenario Definitions
6.2 Low Growth Scenario Forecasts
6.3 Reference Growth Scenario Forecasts
6.4 High Growth Scenario Forecasts

7 Global Automotive Artificial Intelligence Market Outlook by Segments
7.1 Automotive Artificial Intelligence Market Outlook by Segments, $ Million, 2021- 2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

8 North America Automotive Artificial Intelligence Market Analysis and Outlook To 2030
8.1 Introduction to North America Automotive Artificial Intelligence Markets in 2024
8.2 North America Automotive Artificial Intelligence Market Size Outlook by Country, 2021-2030
8.2.1 United States
8.2.2 Canada
8.2.3 Mexico
8.3 North America Automotive Artificial Intelligence Market size Outlook by Segments, 2021-2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

9 Europe Automotive Artificial Intelligence Market Analysis and Outlook To 2030
9.1 Introduction to Europe Automotive Artificial Intelligence Markets in 2024
9.2 Europe Automotive Artificial Intelligence Market Size Outlook by Country, 2021-2030
9.2.1 Germany
9.2.2 France
9.2.3 Spain
9.2.4 United Kingdom
9.2.4 Italy
9.2.5 Russia
9.2.6 Norway
9.2.7 Rest of Europe
9.3 Europe Automotive Artificial Intelligence Market Size Outlook by Segments, 2021-2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

10 Asia Pacific Automotive Artificial Intelligence Market Analysis and Outlook To 2030
10.1 Introduction to Asia Pacific Automotive Artificial Intelligence Markets in 2024
10.2 Asia Pacific Automotive Artificial Intelligence Market Size Outlook by Country, 2021-2030
10.2.1 China
10.2.2 India
10.2.3 Japan
10.2.4 South Korea
10.2.5 Indonesia
10.2.6 Malaysia
10.2.7 Australia
10.2.8 Rest of Asia Pacific
10.3 Asia Pacific Automotive Artificial Intelligence Market size Outlook by Segments, 2021-2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

11 South America Automotive Artificial Intelligence Market Analysis and Outlook To 2030
11.1 Introduction to South America Automotive Artificial Intelligence Markets in 2024
11.2 South America Automotive Artificial Intelligence Market Size Outlook by Country, 2021-2030
11.2.1 Brazil
11.2.2 Argentina
11.2.3 Rest of South America
11.3 South America Automotive Artificial Intelligence Market size Outlook by Segments, 2021-2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

12 Middle East and Africa Automotive Artificial Intelligence Market Analysis and Outlook To 2030
12.1 Introduction to Middle East and Africa Automotive Artificial Intelligence Markets in 2024
12.2 Middle East and Africa Automotive Artificial Intelligence Market Size Outlook by Country, 2021-2030
12.2.1 Saudi Arabia
12.2.2 UAE
12.2.3 Oman
12.2.4 Rest of Middle East
12.2.5 Egypt
12.2.6 Nigeria
12.2.7 South Africa
12.2.8 Rest of Africa
12.3 Middle East and Africa Automotive Artificial Intelligence Market size Outlook by Segments, 2021-2030
By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others

13 Company Profiles
13.1 Company Snapshot
13.2 SWOT Profiles
13.3 Products and Services
13.4 Recent Developments
13.5 Financial Profile
List of Companies
Alphabet Inc
Audi AG
Automotive Artificial Intelligence GmbH
BMW AG
Daimler AG
Didi Chuxing Technology Co. Ltd
Ford Motor Company
General Motors Company
Harman International Industries Inc
Honda Motor Co. Ltd
Hyundai Motor Corp
IBM Corp
Intel Corp
Micron Technology
Microsoft Corp
Mitsubishi Electric Corp
Motor Corp
Nvidia Corp
Qualcomm Inc
Tesla Inc
Uber Technologies Inc
Volvo Car Corp
Xilinx Inc

14 Appendix
14.1 Customization Offerings
14.2 Subscription Services
14.3 Related Reports
14.4 Publisher Expertise

By Offering
Hardware
Software
By Technology
Deep Learning
Machine Learning
Context- aware Computing
Computer Vision
Natural Language Processing
By Process
Signal Recognition
Image Recognition
Data Mining
By Application
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Component
Graphics processing unit (GPU)
Microprocessors
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others