Global Automotive Artificial Intelligence Hardware Market Growth (Status and Outlook) 2025-2031

Publication ID:

LPI04254217

Publication Date:

April 22, 2025

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Semiconductors [2]

Manufacturing (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

The global Automotive Artificial Intelligence Hardware market size is predicted to grow from US$ 8145 million in 2025 to US$ 32730 million in 2031; it is expected to grow at a CAGR of 26.1% from 2025 to 2031.
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 鈥淎utomotive Artificial Intelligence Hardware Industry Forecast鈥� looks at past sales and reviews total world Automotive Artificial Intelligence Hardware sales in 2024, providing a comprehensive analysis by region and market sector of projected Automotive Artificial Intelligence Hardware sales for 2025 through 2031. With Automotive Artificial Intelligence Hardware sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Automotive Artificial Intelligence Hardware industry.
This Insight Report provides a comprehensive analysis of the global Automotive Artificial Intelligence Hardware landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Automotive Artificial Intelligence Hardware portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Automotive Artificial Intelligence Hardware market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Automotive Artificial Intelligence Hardware and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Automotive Artificial Intelligence Hardware.
This report presents a comprehensive overview, market shares, and growth opportunities of Automotive Artificial Intelligence Hardware market by product type, application, key players and key regions and countries.
Segmentation by Type:
Graphics processing unit (GPU)
Microprocessors (Incl. ASIC)
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others
Segmentation by Application:
Human-Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Nvidia
Intel Corporation
Qualcomm
Micron Technology
Tesla
Horizon Robotics

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Automotive Artificial Intelligence Hardware Market Size (2020-2031)
2.1.2 Automotive Artificial Intelligence Hardware Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Automotive Artificial Intelligence Hardware by Country/Region (2020, 2024 & 2031)
2.2 Automotive Artificial Intelligence Hardware Segment by Type
2.2.1 Graphics processing unit (GPU)
2.2.2 Microprocessors (Incl. ASIC)
2.2.3 Field Programmable Gate Array (FPGA)
2.2.4 Memory and Storage systems
2.2.5 Image Sensors
2.2.6 Biometric Scanners
2.2.7 Others
2.3 Automotive Artificial Intelligence Hardware Market Size by Type
2.3.1 Automotive Artificial Intelligence Hardware Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Automotive Artificial Intelligence Hardware Market Size Market Share by Type (2020-2025)
2.4 Automotive Artificial Intelligence Hardware Segment by Application
2.4.1 Human-Machine Interface
2.4.2 Semi-autonomous Driving
2.4.3 Autonomous Driving
2.4.4 Identity Authentication
2.4.5 Driver Monitoring
2.4.6 Autonomous Driving Processor Chips
2.5 Automotive Artificial Intelligence Hardware Market Size by Application
2.5.1 Automotive Artificial Intelligence Hardware Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Automotive Artificial Intelligence Hardware Market Size Market Share by Application (2020-2025)
3 Automotive Artificial Intelligence Hardware Market Size by Player
3.1 Automotive Artificial Intelligence Hardware Market Size Market Share by Player
3.1.1 Global Automotive Artificial Intelligence Hardware Revenue by Player (2020-2025)
3.1.2 Global Automotive Artificial Intelligence Hardware Revenue Market Share by Player (2020-2025)
3.2 Global Automotive Artificial Intelligence Hardware Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Automotive Artificial Intelligence Hardware by Region
4.1 Automotive Artificial Intelligence Hardware Market Size by Region (2020-2025)
4.2 Global Automotive Artificial Intelligence Hardware Annual Revenue by Country/Region (2020-2025)
4.3 Americas Automotive Artificial Intelligence Hardware Market Size Growth (2020-2025)
4.4 APAC Automotive Artificial Intelligence Hardware Market Size Growth (2020-2025)
4.5 Europe Automotive Artificial Intelligence Hardware Market Size Growth (2020-2025)
4.6 Middle East & Africa Automotive Artificial Intelligence Hardware Market Size Growth (2020-2025)
5 Americas
5.1 Americas Automotive Artificial Intelligence Hardware Market Size by Country (2020-2025)
5.2 Americas Automotive Artificial Intelligence Hardware Market Size by Type (2020-2025)
5.3 Americas Automotive Artificial Intelligence Hardware Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Automotive Artificial Intelligence Hardware Market Size by Region (2020-2025)
6.2 APAC Automotive Artificial Intelligence Hardware Market Size by Type (2020-2025)
6.3 APAC Automotive Artificial Intelligence Hardware Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Automotive Artificial Intelligence Hardware Market Size by Country (2020-2025)
7.2 Europe Automotive Artificial Intelligence Hardware Market Size by Type (2020-2025)
7.3 Europe Automotive Artificial Intelligence Hardware Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Automotive Artificial Intelligence Hardware by Region (2020-2025)
8.2 Middle East & Africa Automotive Artificial Intelligence Hardware Market Size by Type (2020-2025)
8.3 Middle East & Africa Automotive Artificial Intelligence Hardware Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Automotive Artificial Intelligence Hardware Market Forecast
10.1 Global Automotive Artificial Intelligence Hardware Forecast by Region (2026-2031)
10.1.1 Global Automotive Artificial Intelligence Hardware Forecast by Region (2026-2031)
10.1.2 Americas Automotive Artificial Intelligence Hardware Forecast
10.1.3 APAC Automotive Artificial Intelligence Hardware Forecast
10.1.4 Europe Automotive Artificial Intelligence Hardware Forecast
10.1.5 Middle East & Africa Automotive Artificial Intelligence Hardware Forecast
10.2 Americas Automotive Artificial Intelligence Hardware Forecast by Country (2026-2031)
10.2.1 United States Market Automotive Artificial Intelligence Hardware Forecast
10.2.2 Canada Market Automotive Artificial Intelligence Hardware Forecast
10.2.3 Mexico Market Automotive Artificial Intelligence Hardware Forecast
10.2.4 Brazil Market Automotive Artificial Intelligence Hardware Forecast
10.3 APAC Automotive Artificial Intelligence Hardware Forecast by Region (2026-2031)
10.3.1 China Automotive Artificial Intelligence Hardware Market Forecast
10.3.2 Japan Market Automotive Artificial Intelligence Hardware Forecast
10.3.3 Korea Market Automotive Artificial Intelligence Hardware Forecast
10.3.4 Southeast Asia Market Automotive Artificial Intelligence Hardware Forecast
10.3.5 India Market Automotive Artificial Intelligence Hardware Forecast
10.3.6 Australia Market Automotive Artificial Intelligence Hardware Forecast
10.4 Europe Automotive Artificial Intelligence Hardware Forecast by Country (2026-2031)
10.4.1 Germany Market Automotive Artificial Intelligence Hardware Forecast
10.4.2 France Market Automotive Artificial Intelligence Hardware Forecast
10.4.3 UK Market Automotive Artificial Intelligence Hardware Forecast
10.4.4 Italy Market Automotive Artificial Intelligence Hardware Forecast
10.4.5 Russia Market Automotive Artificial Intelligence Hardware Forecast
10.5 Middle East & Africa Automotive Artificial Intelligence Hardware Forecast by Region (2026-2031)
10.5.1 Egypt Market Automotive Artificial Intelligence Hardware Forecast
10.5.2 South Africa Market Automotive Artificial Intelligence Hardware Forecast
10.5.3 Israel Market Automotive Artificial Intelligence Hardware Forecast
10.5.4 Turkey Market Automotive Artificial Intelligence Hardware Forecast
10.6 Global Automotive Artificial Intelligence Hardware Forecast by Type (2026-2031)
10.7 Global Automotive Artificial Intelligence Hardware Forecast by Application (2026-2031)
10.7.1 GCC Countries Market Automotive Artificial Intelligence Hardware Forecast
11 Key Players Analysis
11.1 Nvidia
11.1.1 Nvidia Company Information
11.1.2 Nvidia Automotive Artificial Intelligence Hardware Product Offered
11.1.3 Nvidia Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 Nvidia Main Business Overview
11.1.5 Nvidia Latest Developments
11.2 Intel Corporation
11.2.1 Intel Corporation Company Information
11.2.2 Intel Corporation Automotive Artificial Intelligence Hardware Product Offered
11.2.3 Intel Corporation Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 Intel Corporation Main Business Overview
11.2.5 Intel Corporation Latest Developments
11.3 Qualcomm
11.3.1 Qualcomm Company Information
11.3.2 Qualcomm Automotive Artificial Intelligence Hardware Product Offered
11.3.3 Qualcomm Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 Qualcomm Main Business Overview
11.3.5 Qualcomm Latest Developments
11.4 Micron Technology
11.4.1 Micron Technology Company Information
11.4.2 Micron Technology Automotive Artificial Intelligence Hardware Product Offered
11.4.3 Micron Technology Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 Micron Technology Main Business Overview
11.4.5 Micron Technology Latest Developments
11.5 Tesla
11.5.1 Tesla Company Information
11.5.2 Tesla Automotive Artificial Intelligence Hardware Product Offered
11.5.3 Tesla Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 Tesla Main Business Overview
11.5.5 Tesla Latest Developments
11.6 Horizon Robotics
11.6.1 Horizon Robotics Company Information
11.6.2 Horizon Robotics Automotive Artificial Intelligence Hardware Product Offered
11.6.3 Horizon Robotics Automotive Artificial Intelligence Hardware Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 Horizon Robotics Main Business Overview
11.6.5 Horizon Robotics Latest Developments
12 Research Findings and Conclusion

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