
The global Automotive Artificial Intelligence Hardware market size was valued at USD 4320.4 million in 2023 and is forecast to a readjusted size of USD 19550 million by 2030 with a CAGR of 24.1% during review period.
Automotive Artificial Intelligence (AI) hardware refers to the physical components that are used to enable AI algorithms and machine learning models to process and analyze data related to the environment and operation of a vehicle. These hardware components are designed to help vehicles perform tasks autonomously or semi-autonomously by processing large amounts of data in real-time.
Some examples of automotive AI hardware include sensors such as cameras, radar, lidar, and ultrasonic sensors that collect data about the vehicle's environment. Processors such as CPUs from Intel and Nvidia are used to analyze the data collected by these sensors and make decisions based on it. Memory is used to temporarily store data, allowing processors to access it quickly. Communication modules enable vehicles to communicate with other vehicles and infrastructure, such as traffic lights and road signs. Finally, power management units are responsible for managing the power supply to the vehicle's components, ensuring that they receive the right amount of power at the right time.
The top 5 suppliers of Automotive Artificial Intelligence Hardware (AHI) worldwide are Nvidia, Intel Corporation, Qualcomm, Micron Technology, Tesla, and Horizon Robotics. Nvidia is the largest player. From the sales side, the main sales markets are North America, Europe, Asia Pacific, South America, the Middle East and Africa, with Asia Pacific being the largest sales market, followed by North America and Europe. In terms of type, GPUs occupy a significant market position with a share of about 30%. In terms of their applications, human-machine interface, autonomous driving processor chips and semi-autonomous driving are the main application areas, with autonomous driving processor chips accounting for about 40%.
The report includes an overview of the development of the Automotive Artificial Intelligence Hardware industry chain, the market status of Human-Machine Interface (Graphics processing unit (GPU), Microprocessors (Incl. ASIC)), Semi-autonomous Driving (Graphics processing unit (GPU), Microprocessors (Incl. ASIC)), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Automotive Artificial Intelligence Hardware.
Regionally, the report analyzes the Automotive Artificial Intelligence Hardware markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Automotive Artificial Intelligence Hardware market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Automotive Artificial Intelligence Hardware market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Automotive Artificial Intelligence Hardware industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Graphics processing unit (GPU), Microprocessors (Incl. ASIC)).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Automotive Artificial Intelligence Hardware market.
Regional Analysis: The report involves examining the Automotive Artificial Intelligence Hardware market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Automotive Artificial Intelligence Hardware market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Automotive Artificial Intelligence Hardware:
Company Analysis: Report covers individual Automotive Artificial Intelligence Hardware players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Automotive Artificial Intelligence Hardware This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Human-Machine Interface, Semi-autonomous Driving).
Technology Analysis: Report covers specific technologies relevant to Automotive Artificial Intelligence Hardware. It assesses the current state, advancements, and potential future developments in Automotive Artificial Intelligence Hardware areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Automotive Artificial Intelligence Hardware market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Automotive Artificial Intelligence Hardware market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Graphics processing unit (GPU)
Microprocessors (Incl. ASIC)
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others
Market segment by Application
Human-Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
Market segment by players, this report covers
Nvidia
Intel Corporation
Qualcomm
Micron Technology
Tesla
Horizon Robotics
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Automotive Artificial Intelligence Hardware product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Automotive Artificial Intelligence Hardware, with revenue, gross margin and global market share of Automotive Artificial Intelligence Hardware from 2019 to 2024.
Chapter 3, the Automotive Artificial Intelligence Hardware competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Automotive Artificial Intelligence Hardware market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Automotive Artificial Intelligence Hardware.
Chapter 13, to describe Automotive Artificial Intelligence Hardware research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope of Automotive Artificial Intelligence Hardware
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Automotive Artificial Intelligence Hardware by Type
1.3.1 Overview: Global Automotive Artificial Intelligence Hardware Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Automotive Artificial Intelligence Hardware Consumption Value Market Share by Type in 2023
1.3.3 Graphics processing unit (GPU)
1.3.4 Microprocessors (Incl. ASIC)
1.3.5 Field Programmable Gate Array (FPGA)
1.3.6 Memory and Storage systems
1.3.7 Image Sensors
1.3.8 Biometric Scanners
1.3.9 Others
1.4 Global Automotive Artificial Intelligence Hardware Market by Application
1.4.1 Overview: Global Automotive Artificial Intelligence Hardware Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Human-Machine Interface
1.4.3 Semi-autonomous Driving
1.4.4 Autonomous Driving
1.4.5 Identity Authentication
1.4.6 Driver Monitoring
1.4.7 Autonomous Driving Processor Chips
1.5 Global Automotive Artificial Intelligence Hardware Market Size & Forecast
1.6 Global Automotive Artificial Intelligence Hardware Market Size and Forecast by Region
1.6.1 Global Automotive Artificial Intelligence Hardware Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Automotive Artificial Intelligence Hardware Market Size by Region, (2019-2030)
1.6.3 North America Automotive Artificial Intelligence Hardware Market Size and Prospect (2019-2030)
1.6.4 Europe Automotive Artificial Intelligence Hardware Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Automotive Artificial Intelligence Hardware Market Size and Prospect (2019-2030)
1.6.6 South America Automotive Artificial Intelligence Hardware Market Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Automotive Artificial Intelligence Hardware Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 Nvidia
2.1.1 Nvidia Details
2.1.2 Nvidia Major Business
2.1.3 Nvidia Automotive Artificial Intelligence Hardware Product and Solutions
2.1.4 Nvidia Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 Nvidia Recent Developments and Future Plans
2.2 Intel Corporation
2.2.1 Intel Corporation Details
2.2.2 Intel Corporation Major Business
2.2.3 Intel Corporation Automotive Artificial Intelligence Hardware Product and Solutions
2.2.4 Intel Corporation Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 Intel Corporation Recent Developments and Future Plans
2.3 Qualcomm
2.3.1 Qualcomm Details
2.3.2 Qualcomm Major Business
2.3.3 Qualcomm Automotive Artificial Intelligence Hardware Product and Solutions
2.3.4 Qualcomm Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 Qualcomm Recent Developments and Future Plans
2.4 Micron Technology
2.4.1 Micron Technology Details
2.4.2 Micron Technology Major Business
2.4.3 Micron Technology Automotive Artificial Intelligence Hardware Product and Solutions
2.4.4 Micron Technology Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Micron Technology Recent Developments and Future Plans
2.5 Tesla
2.5.1 Tesla Details
2.5.2 Tesla Major Business
2.5.3 Tesla Automotive Artificial Intelligence Hardware Product and Solutions
2.5.4 Tesla Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 Tesla Recent Developments and Future Plans
2.6 Horizon Robotics
2.6.1 Horizon Robotics Details
2.6.2 Horizon Robotics Major Business
2.6.3 Horizon Robotics Automotive Artificial Intelligence Hardware Product and Solutions
2.6.4 Horizon Robotics Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 Horizon Robotics Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Automotive Artificial Intelligence Hardware Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of Automotive Artificial Intelligence Hardware by Company Revenue
3.2.2 Top 3 Automotive Artificial Intelligence Hardware Players Market Share in 2023
3.2.3 Top 6 Automotive Artificial Intelligence Hardware Players Market Share in 2023
3.3 Automotive Artificial Intelligence Hardware Market: Overall Company Footprint Analysis
3.3.1 Automotive Artificial Intelligence Hardware Market: Region Footprint
3.3.2 Automotive Artificial Intelligence Hardware Market: Company Product Type Footprint
3.3.3 Automotive Artificial Intelligence Hardware Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Automotive Artificial Intelligence Hardware Consumption Value and Market Share by Type (2019-2024)
4.2 Global Automotive Artificial Intelligence Hardware Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global Automotive Artificial Intelligence Hardware Consumption Value Market Share by Application (2019-2024)
5.2 Global Automotive Artificial Intelligence Hardware Market Forecast by Application (2025-2030)
6 North America
6.1 North America Automotive Artificial Intelligence Hardware Consumption Value by Type (2019-2030)
6.2 North America Automotive Artificial Intelligence Hardware Consumption Value by Application (2019-2030)
6.3 North America Automotive Artificial Intelligence Hardware Market Size by Country
6.3.1 North America Automotive Artificial Intelligence Hardware Consumption Value by Country (2019-2030)
6.3.2 United States Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
6.3.3 Canada Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
6.3.4 Mexico Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe Automotive Artificial Intelligence Hardware Consumption Value by Type (2019-2030)
7.2 Europe Automotive Artificial Intelligence Hardware Consumption Value by Application (2019-2030)
7.3 Europe Automotive Artificial Intelligence Hardware Market Size by Country
7.3.1 Europe Automotive Artificial Intelligence Hardware Consumption Value by Country (2019-2030)
7.3.2 Germany Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
7.3.3 France Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
7.3.4 United Kingdom Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
7.3.5 Russia Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
7.3.6 Italy Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Automotive Artificial Intelligence Hardware Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Automotive Artificial Intelligence Hardware Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Automotive Artificial Intelligence Hardware Market Size by Region
8.3.1 Asia-Pacific Automotive Artificial Intelligence Hardware Consumption Value by Region (2019-2030)
8.3.2 China Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8.3.3 Japan Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8.3.4 South Korea Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8.3.5 India Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
8.3.7 Australia Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
9 South America
9.1 South America Automotive Artificial Intelligence Hardware Consumption Value by Type (2019-2030)
9.2 South America Automotive Artificial Intelligence Hardware Consumption Value by Application (2019-2030)
9.3 South America Automotive Artificial Intelligence Hardware Market Size by Country
9.3.1 South America Automotive Artificial Intelligence Hardware Consumption Value by Country (2019-2030)
9.3.2 Brazil Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
9.3.3 Argentina Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Automotive Artificial Intelligence Hardware Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Automotive Artificial Intelligence Hardware Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Automotive Artificial Intelligence Hardware Market Size by Country
10.3.1 Middle East & Africa Automotive Artificial Intelligence Hardware Consumption Value by Country (2019-2030)
10.3.2 Turkey Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
10.3.4 UAE Automotive Artificial Intelligence Hardware Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 Automotive Artificial Intelligence Hardware Market Drivers
11.2 Automotive Artificial Intelligence Hardware Market Restraints
11.3 Automotive Artificial Intelligence Hardware Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Automotive Artificial Intelligence Hardware Industry Chain
12.2 Automotive Artificial Intelligence Hardware Upstream Analysis
12.3 Automotive Artificial Intelligence Hardware Midstream Analysis
12.4 Automotive Artificial Intelligence Hardware Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Nvidia
Intel Corporation
Qualcomm
Micron Technology
Tesla
Horizon Robotics
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