Automotive Artificial Intelligence Hardware - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB505240438

Publication Date:

May 1, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Semiconductors [2]

Computing & Electronics [3]

Description:

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 market for Automotive Artificial Intelligence Hardware was estimated to be worth 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
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%.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Automotive Artificial Intelligence Hardware, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Automotive Artificial Intelligence Hardware by region & country, by Type, and by Application.
The Automotive Artificial Intelligence Hardware market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automotive Artificial Intelligence Hardware.
Market Segmentation
By Company
Nvidia
Intel Corporation
Qualcomm
Micron Technology
Tesla
Horizon Robotics
Segment by Type:
Graphics processing unit (GPU)
Microprocessors (Incl. ASIC)
Field Programmable Gate Array (FPGA)
Memory and Storage systems
Image Sensors
Biometric Scanners
Others
Segment by Application
Human-Machine Interface
Semi-autonomous Driving
Autonomous Driving
Identity Authentication
Driver Monitoring
Autonomous Driving Processor Chips
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of Automotive Artificial Intelligence Hardware manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Automotive Artificial Intelligence Hardware in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Automotive Artificial Intelligence Hardware in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 Market Overview
1.1 Automotive Artificial Intelligence Hardware Product Introduction
1.2 Global Automotive Artificial Intelligence Hardware Market Size Forecast
1.3 Automotive Artificial Intelligence Hardware Market Trends & Drivers
1.3.1 Automotive Artificial Intelligence Hardware Industry Trends
1.3.2 Automotive Artificial Intelligence Hardware Market Drivers & Opportunity
1.3.3 Automotive Artificial Intelligence Hardware Market Challenges
1.3.4 Automotive Artificial Intelligence Hardware Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Automotive Artificial Intelligence Hardware Players Revenue Ranking (2023)
2.2 Global Automotive Artificial Intelligence Hardware Revenue by Company (2019-2024)
2.3 Key Companies Automotive Artificial Intelligence Hardware Manufacturing Base Distribution and Headquarters
2.4 Key Companies Automotive Artificial Intelligence Hardware Product Offered
2.5 Key Companies Time to Begin Mass Production of Automotive Artificial Intelligence Hardware
2.6 Automotive Artificial Intelligence Hardware Market Competitive Analysis
2.6.1 Automotive Artificial Intelligence Hardware Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Automotive Artificial Intelligence Hardware Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Automotive Artificial Intelligence Hardware as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Graphics processing unit (GPU)
3.1.2 Microprocessors (Incl. ASIC)
3.1.3 Field Programmable Gate Array (FPGA)
3.1.4 Memory and Storage systems
3.1.5 Image Sensors
3.1.6 Biometric Scanners
3.1.7 Others
3.2 Global Automotive Artificial Intelligence Hardware Sales Value by Type
3.2.1 Global Automotive Artificial Intelligence Hardware Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Automotive Artificial Intelligence Hardware Sales Value, by Type (2019-2030)
3.2.3 Global Automotive Artificial Intelligence Hardware Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Human-Machine Interface
4.1.2 Semi-autonomous Driving
4.1.3 Autonomous Driving
4.1.4 Identity Authentication
4.1.5 Driver Monitoring
4.1.6 Autonomous Driving Processor Chips
4.2 Global Automotive Artificial Intelligence Hardware Sales Value by Application
4.2.1 Global Automotive Artificial Intelligence Hardware Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Automotive Artificial Intelligence Hardware Sales Value, by Application (2019-2030)
4.2.3 Global Automotive Artificial Intelligence Hardware Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Automotive Artificial Intelligence Hardware Sales Value by Region
5.1.1 Global Automotive Artificial Intelligence Hardware Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Automotive Artificial Intelligence Hardware Sales Value by Region (2019-2024)
5.1.3 Global Automotive Artificial Intelligence Hardware Sales Value by Region (2025-2030)
5.1.4 Global Automotive Artificial Intelligence Hardware Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
5.2.2 North America Automotive Artificial Intelligence Hardware Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
5.3.2 Europe Automotive Artificial Intelligence Hardware Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
5.4.2 Asia Pacific Automotive Artificial Intelligence Hardware Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
5.5.2 South America Automotive Artificial Intelligence Hardware Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
5.6.2 Middle East & Africa Automotive Artificial Intelligence Hardware Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Automotive Artificial Intelligence Hardware Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Automotive Artificial Intelligence Hardware Sales Value
6.3 United States
6.3.1 United States Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.3.2 United States Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.4.2 Europe Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.5.2 China Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.5.3 China Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.6.2 Japan Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.7.2 South Korea Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.8.2 Southeast Asia Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Automotive Artificial Intelligence Hardware Sales Value, 2019-2030
6.9.2 India Automotive Artificial Intelligence Hardware Sales Value by Type (%), 2023 VS 2030
6.9.3 India Automotive Artificial Intelligence Hardware Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Nvidia
7.1.1 Nvidia Profile
7.1.2 Nvidia Main Business
7.1.3 Nvidia Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.1.4 Nvidia Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.1.5 Nvidia Recent Developments
7.2 Intel Corporation
7.2.1 Intel Corporation Profile
7.2.2 Intel Corporation Main Business
7.2.3 Intel Corporation Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.2.4 Intel Corporation Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.2.5 Intel Corporation Recent Developments
7.3 Qualcomm
7.3.1 Qualcomm Profile
7.3.2 Qualcomm Main Business
7.3.3 Qualcomm Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.3.4 Qualcomm Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.3.5 Micron Technology Recent Developments
7.4 Micron Technology
7.4.1 Micron Technology Profile
7.4.2 Micron Technology Main Business
7.4.3 Micron Technology Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.4.4 Micron Technology Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.4.5 Micron Technology Recent Developments
7.5 Tesla
7.5.1 Tesla Profile
7.5.2 Tesla Main Business
7.5.3 Tesla Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.5.4 Tesla Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.5.5 Tesla Recent Developments
7.6 Horizon Robotics
7.6.1 Horizon Robotics Profile
7.6.2 Horizon Robotics Main Business
7.6.3 Horizon Robotics Automotive Artificial Intelligence Hardware Products, Services and Solutions
7.6.4 Horizon Robotics Automotive Artificial Intelligence Hardware Revenue (US$ Million) & (2019-2024)
7.6.5 Horizon Robotics Recent Developments
8 Industry Chain Analysis
8.1 Automotive Artificial Intelligence Hardware Industrial Chain
8.2 Automotive Artificial Intelligence Hardware Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Automotive Artificial Intelligence Hardware Sales Model
8.5.2 Sales Channel
8.5.3 Automotive Artificial Intelligence Hardware Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Nvidia
Intel Corporation
Qualcomm
Micron Technology
Tesla
Horizon Robotics

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