Global Automotive Artificial Intelligence Hardware Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Automotive Artificial Intelligence Hardware market size was valued at US$ 6985 million in 2024 and is forecast to a readjusted size of USD 31990 million by 2031 with a CAGR of 24.6% 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 vehicles 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 vehicles 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%.
This report is a detailed and comprehensive analysis for global Automotive Artificial Intelligence Hardware market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Automotive Artificial Intelligence Hardware market size and forecasts, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Automotive Artificial Intelligence Hardware
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Automotive Artificial Intelligence Hardware market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Nvidia, Intel Corporation, Qualcomm, Micron Technology, Tesla, Horizon Robotics, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Automotive Artificial Intelligence Hardware market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
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 and Rest of Asia-Pacific)
South America (Brazil, 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 2020 to 2025.
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 by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
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 2020 to 2025.and Automotive Artificial Intelligence Hardware market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, 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.
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 vehicles 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 vehicles 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%.
This report is a detailed and comprehensive analysis for global Automotive Artificial Intelligence Hardware market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Automotive Artificial Intelligence Hardware market size and forecasts, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Automotive Artificial Intelligence Hardware market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Automotive Artificial Intelligence Hardware
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Automotive Artificial Intelligence Hardware market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Nvidia, Intel Corporation, Qualcomm, Micron Technology, Tesla, Horizon Robotics, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Automotive Artificial Intelligence Hardware market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
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 and Rest of Asia-Pacific)
South America (Brazil, 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 2020 to 2025.
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 by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
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 2020 to 2025.and Automotive Artificial Intelligence Hardware market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, 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.
Table of Contents
84 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
