Market Executive Summary

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 global Automotive Artificial Intelligence Hardware market size was US$ 4198.8 million in 2023 and is forecast to a readjusted size of US$ 21270 million by 2030 with a CAGR of 25.2% during the forecast period 2024-2030.

Fully considering the economic change by this health crisis, Graphics processing unit (GPU) accounting for % of the Automotive Artificial Intelligence Hardware global market in 2023, is projected to value US$ million by 2030, growing at a revised ?GR from 2024 to 2030. While Human-Machine Interface segment is altered to an ?GR throughout this forecast period.

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 market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Automotive Artificial Intelligence Hardware market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Automotive Artificial Intelligence Hardware market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Automotive Artificial Intelligence Hardware market. Readers of the report can become informed about current and future trends of the global Automotive Artificial Intelligence Hardware market and how they will impact market growth during the forecast period.

Market Segmentation

Global Automotive Artificial Intelligence Hardware Companies Covered

Nvidia, Intel Corporation, Qualcomm, Micron Technology, Tesla, Horizon Robotics

Global Automotive Artificial Intelligence Hardware Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Automotive Artificial Intelligence Hardware 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

Global Automotive Artificial Intelligence Hardware Market, Segment by Application

Human-Machine Interface

Semi-autonomous Driving

Autonomous Driving

Identity Authentication

Driver Monitoring

Autonomous Driving Processor Chips

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.

Chapter 2: Revenue of Automotive Artificial Intelligence Hardware in global and regional level.

Chapter 3: Detailed analysis of Automotive Artificial Intelligence Hardware companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America (US & Canada) by type, by application and by country, revenue for each segment.

Chapter 7: Europe by type, by application and by country, revenue for each segment.

Chapter 8: Asia Pacific by type, by application and by region, revenue for each segment.

Chapter 9: Latin America by type, by application and by country, revenue for each segment.

Chapter 10: Middle East and Africa, by type, by application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Automotive Artificial Intelligence Hardware revenue, gross margin, and recent development, etc.

Chapter 12: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 13: Research Findings and Conclusion