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Global Automotive Grade Smart Automotive Computing Chip Market Research Report 2024
Synopsis
Automotive grade smart automotive computing chip is a type of semiconductor device that is designed to perform high-performance computing, artificial intelligence, and multimedia functions for advanced driver assistance systems (ADAS) and autonomous vehicles (AVs). These chips are built using leading chip manufacturing processes to maximize feature integration, performance, and power efficiency. They also support various wireless communication technologies, such as 5G, Wi-Fi, Bluetooth, and GNSS navigation, to enable connected and intelligent mobility services. Some examples of automotive grade smart automotive computing chips are:
Kneron KL530: This chip supports Vision Transformers (ViT), a new class of deep learning architecture that can achieve more accurate image detection and reduced processing time than traditional Convolutional Neural Networks (CNN). It also has a 4-bit data processor that can process more frames per second and reduce data processing time by up to 66%. It can detect more apertures within any given time, so things like facial recognition can be sped up by up to half a second. It also has an image system processor that enables blind spot detection, classification, distance measuring and hazard recognition.
MediaTek Dimensity Auto: This is a range of new automotive solutions that feature scalable AI multi-processor equipped with both deep learning accelerator (MDLA) and vision processing unit (MVPU), MediaTek MiraVision smart display technology that supports multiple displays and up to 8K 120Hz screens in HDR, a dedicated DSP for microphone audio processing, full suite of entertainment streaming and decoding, fast sub-1s boot time, cutting-edge automotive communication technologies based on 3GPP open standards, including MediaTek 5G NTN, V2X, and 5G RedCap, Wi-Fi 7 equipped with MediaTek’s unique hardware networking accelerator, comprehensive GNSS coverage for more accurate positioning2.
Qualcomm Snapdragon Cockpit: This platform provides a comprehensive architecture for bringing connected and intelligent experiences to the modern vehicle, including in-car virtual assistance, contextual safety use cases, advanced audio, graphics, and multimedia. It also supports various connectivity solutions, such as 5G NR cellular vehicle-to-everything (C-V2X), Wi-Fi 6E/6/5/4/3/2/1 with dual-band simultaneous (DBS), Bluetooth 5.2 with aptX Adaptive audio technology.
Global Automotive Grade Smart Automotive Computing Chip market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automotive Grade Smart Automotive Computing Chip market research.
Key manufacturers engaged in the Automotive Grade Smart Automotive Computing Chip industry include Qualcomm, MediaTek, Kneron, Infineon, NXP Semiconductors, Renesas Electronics, Texas Instruments Incorporated, STMicroelectronics and Bosch, etc. Among those manufacturers, the top 3 players guaranteed % supply worldwide in 2022.
For production bases, global Automotive Grade Smart Automotive Computing Chip production is dominated by and . The two regions contributed to % production share globally in 2022.
When refers to consumption region, % volume of Automotive Grade Smart Automotive Computing Chip were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Automotive Grade Smart Automotive Computing Chip market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automotive Grade Smart Automotive Computing Chip market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Qualcomm
MediaTek
Kneron
Infineon
NXP Semiconductors
Renesas Electronics
Texas Instruments Incorporated
STMicroelectronics
Bosch
Continental
Xilinx
Segment by Type
Radar Sensors
Vision Processor
Network Processor
Others
Segment by Application
Commercial Vehicles
Passenger Vehicles
Production by Region
North America
Europe
China
Japan
South Korea
Consumption 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, Middle East & Africa
Mexico
Brazil
Turkey
GCC Countries
The Automotive Grade Smart Automotive Computing Chip report covers below items:
Chapter 1: Product Basic Information (Definition, type and application)
Chapter 2: Manufacturers’ Competition Patterns
Chapter 3: Production Region Distribution and Analysis
Chapter 4: Country Level Sales Analysis
Chapter 5: Product Type Analysis
Chapter 6: Product Application Analysis
Chapter 7: Manufacturers’ Outline
Chapter 8: Industry Chain, Market Channel and Customer Analysis
Chapter 9: Market Opportunities and Challenges
Chapter 10: Market Conclusions
Chapter 11: Research Methodology and Data Source
Automotive grade smart automotive computing chip is a type of semiconductor device that is designed to perform high-performance computing, artificial intelligence, and multimedia functions for advanced driver assistance systems (ADAS) and autonomous vehicles (AVs). These chips are built using leading chip manufacturing processes to maximize feature integration, performance, and power efficiency. They also support various wireless communication technologies, such as 5G, Wi-Fi, Bluetooth, and GNSS navigation, to enable connected and intelligent mobility services. Some examples of automotive grade smart automotive computing chips are:
Kneron KL530: This chip supports Vision Transformers (ViT), a new class of deep learning architecture that can achieve more accurate image detection and reduced processing time than traditional Convolutional Neural Networks (CNN). It also has a 4-bit data processor that can process more frames per second and reduce data processing time by up to 66%. It can detect more apertures within any given time, so things like facial recognition can be sped up by up to half a second. It also has an image system processor that enables blind spot detection, classification, distance measuring and hazard recognition.
MediaTek Dimensity Auto: This is a range of new automotive solutions that feature scalable AI multi-processor equipped with both deep learning accelerator (MDLA) and vision processing unit (MVPU), MediaTek MiraVision smart display technology that supports multiple displays and up to 8K 120Hz screens in HDR, a dedicated DSP for microphone audio processing, full suite of entertainment streaming and decoding, fast sub-1s boot time, cutting-edge automotive communication technologies based on 3GPP open standards, including MediaTek 5G NTN, V2X, and 5G RedCap, Wi-Fi 7 equipped with MediaTek’s unique hardware networking accelerator, comprehensive GNSS coverage for more accurate positioning2.
Qualcomm Snapdragon Cockpit: This platform provides a comprehensive architecture for bringing connected and intelligent experiences to the modern vehicle, including in-car virtual assistance, contextual safety use cases, advanced audio, graphics, and multimedia. It also supports various connectivity solutions, such as 5G NR cellular vehicle-to-everything (C-V2X), Wi-Fi 6E/6/5/4/3/2/1 with dual-band simultaneous (DBS), Bluetooth 5.2 with aptX Adaptive audio technology.
Global Automotive Grade Smart Automotive Computing Chip market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automotive Grade Smart Automotive Computing Chip market research.
Key manufacturers engaged in the Automotive Grade Smart Automotive Computing Chip industry include Qualcomm, MediaTek, Kneron, Infineon, NXP Semiconductors, Renesas Electronics, Texas Instruments Incorporated, STMicroelectronics and Bosch, etc. Among those manufacturers, the top 3 players guaranteed % supply worldwide in 2022.
For production bases, global Automotive Grade Smart Automotive Computing Chip production is dominated by and . The two regions contributed to % production share globally in 2022.
When refers to consumption region, % volume of Automotive Grade Smart Automotive Computing Chip were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Automotive Grade Smart Automotive Computing Chip market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automotive Grade Smart Automotive Computing Chip market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Qualcomm
MediaTek
Kneron
Infineon
NXP Semiconductors
Renesas Electronics
Texas Instruments Incorporated
STMicroelectronics
Bosch
Continental
Xilinx
Segment by Type
Radar Sensors
Vision Processor
Network Processor
Others
Segment by Application
Commercial Vehicles
Passenger Vehicles
Production by Region
North America
Europe
China
Japan
South Korea
Consumption 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, Middle East & Africa
Mexico
Brazil
Turkey
GCC Countries
The Automotive Grade Smart Automotive Computing Chip report covers below items:
Chapter 1: Product Basic Information (Definition, type and application)
Chapter 2: Manufacturers’ Competition Patterns
Chapter 3: Production Region Distribution and Analysis
Chapter 4: Country Level Sales Analysis
Chapter 5: Product Type Analysis
Chapter 6: Product Application Analysis
Chapter 7: Manufacturers’ Outline
Chapter 8: Industry Chain, Market Channel and Customer Analysis
Chapter 9: Market Opportunities and Challenges
Chapter 10: Market Conclusions
Chapter 11: Research Methodology and Data Source
Index1 Automotive Grade Smart Automotive Computing Chip Market Overview
1.1 Product Definition
1.2 Automotive Grade Smart Automotive Computing Chip Segment by Type
1.2.1 Global Automotive Grade Smart Automotive Computing Chip Market Value Growth Rate Analysis by Type 2022 VS 2029
1.2.2 Radar Sensors
1.2.3 Vision Processor
1.2.4 Network Processor
1.2.5 Others
1.3 Automotive Grade Smart Automotive Computing Chip Segment by Application
1.3.1 Global Automotive Grade Smart Automotive Computing Chip Market Value Growth Rate Analysis by Application: 2022 VS 2029
1.3.2 Commercial Vehicles
1.3.3 Passenger Vehicles
1.4 Global Market Growth Prospects
1.4.1 Global Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
1.4.2 Global Automotive Grade Smart Automotive Computing Chip Production Capacity Estimates and Forecasts (2018-2029)
1.4.3 Global Automotive Grade Smart Automotive Computing Chip Production Estimates and Forecasts (2018-2029)
1.4.4 Global Automotive Grade Smart Automotive Computing Chip Market Average Price Estimates and Forecasts (2018-2029)
1.5 Assumptions and Limitations
2 Market Competition by Manufacturers
2.1 Global Automotive Grade Smart Automotive Computing Chip Production Market Share by Manufacturers (2018-2023)
2.2 Global Automotive Grade Smart Automotive Computing Chip Production Value Market Share by Manufacturers (2018-2023)
2.3 Global Key Players of Automotive Grade Smart Automotive Computing Chip, Industry Ranking, 2021 VS 2022 VS 2023
2.4 Global Automotive Grade Smart Automotive Computing Chip Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.5 Global Automotive Grade Smart Automotive Computing Chip Average Price by Manufacturers (2018-2023)
2.6 Global Key Manufacturers of Automotive Grade Smart Automotive Computing Chip, Manufacturing Base Distribution and Headquarters
2.7 Global Key Manufacturers of Automotive Grade Smart Automotive Computing Chip, Product Offered and Application
2.8 Global Key Manufacturers of Automotive Grade Smart Automotive Computing Chip, Date of Enter into This Industry
2.9 Automotive Grade Smart Automotive Computing Chip Market Competitive Situation and Trends
2.9.1 Automotive Grade Smart Automotive Computing Chip Market Concentration Rate
2.9.2 Global 5 and 10 Largest Automotive Grade Smart Automotive Computing Chip Players Market Share by Revenue
2.10 Mergers & Acquisitions, Expansion
3 Automotive Grade Smart Automotive Computing Chip Production by Region
3.1 Global Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.2 Global Automotive Grade Smart Automotive Computing Chip Production Value by Region (2018-2029)
3.2.1 Global Automotive Grade Smart Automotive Computing Chip Production Value Market Share by Region (2018-2023)
3.2.2 Global Forecasted Production Value of Automotive Grade Smart Automotive Computing Chip by Region (2024-2029)
3.3 Global Automotive Grade Smart Automotive Computing Chip Production Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
3.4 Global Automotive Grade Smart Automotive Computing Chip Production by Region (2018-2029)
3.4.1 Global Automotive Grade Smart Automotive Computing Chip Production Market Share by Region (2018-2023)
3.4.2 Global Forecasted Production of Automotive Grade Smart Automotive Computing Chip by Region (2024-2029)
3.5 Global Automotive Grade Smart Automotive Computing Chip Market Price Analysis by Region (2018-2023)
3.6 Global Automotive Grade Smart Automotive Computing Chip Production and Value, Year-over-Year Growth
3.6.1 North America Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
3.6.2 Europe Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
3.6.3 China Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
3.6.4 Japan Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
3.6.5 South Korea Automotive Grade Smart Automotive Computing Chip Production Value Estimates and Forecasts (2018-2029)
4 Automotive Grade Smart Automotive Computing Chip Consumption by Region
4.1 Global Automotive Grade Smart Automotive Computing Chip Consumption Estimates and Forecasts by Region: 2018 VS 2022 VS 2029
4.2 Global Automotive Grade Smart Automotive Computing Chip Consumption by Region (2018-2029)
4.2.1 Global Automotive Grade Smart Automotive Computing Chip Consumption by Region (2018-2023)
4.2.2 Global Automotive Grade Smart Automotive Computing Chip Forecasted Consumption by Region (2024-2029)
4.3 North America
4.3.1 North America Automotive Grade Smart Automotive Computing Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.3.2 North America Automotive Grade Smart Automotive Computing Chip Consumption by Country (2018-2029)
4.3.3 United States
4.3.4 Canada
4.4 Europe
4.4.1 Europe Automotive Grade Smart Automotive Computing Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.4.2 Europe Automotive Grade Smart Automotive Computing Chip Consumption by Country (2018-2029)
4.4.3 Germany
4.4.4 France
4.4.5 U.K.
4.4.6 Italy
4.4.7 Russia
4.5 Asia Pacific
4.5.1 Asia Pacific Automotive Grade Smart Automotive Computing Chip Consumption Growth Rate by Region: 2018 VS 2022 VS 2029
4.5.2 Asia Pacific Automotive Grade Smart Automotive Computing Chip Consumption by Region (2018-2029)
4.5.3 China
4.5.4 Japan
4.5.5 South Korea
4.5.6 China Taiwan
4.5.7 Southeast Asia
4.5.8 India
4.6 Latin America, Middle East & Africa
4.6.1 Latin America, Middle East & Africa Automotive Grade Smart Automotive Computing Chip Consumption Growth Rate by Country: 2018 VS 2022 VS 2029
4.6.2 Latin America, Middle East & Africa Automotive Grade Smart Automotive Computing Chip Consumption by Country (2018-2029)
4.6.3 Mexico
4.6.4 Brazil
4.6.5 Turkey
4.6.6 GCC Countries
5 Segment by Type
5.1 Global Automotive Grade Smart Automotive Computing Chip Production by Type (2018-2029)
5.1.1 Global Automotive Grade Smart Automotive Computing Chip Production by Type (2018-2023)
5.1.2 Global Automotive Grade Smart Automotive Computing Chip Production by Type (2024-2029)
5.1.3 Global Automotive Grade Smart Automotive Computing Chip Production Market Share by Type (2018-2029)
5.2 Global Automotive Grade Smart Automotive Computing Chip Production Value by Type (2018-2029)
5.2.1 Global Automotive Grade Smart Automotive Computing Chip Production Value by Type (2018-2023)
5.2.2 Global Automotive Grade Smart Automotive Computing Chip Production Value by Type (2024-2029)
5.2.3 Global Automotive Grade Smart Automotive Computing Chip Production Value Market Share by Type (2018-2029)
5.3 Global Automotive Grade Smart Automotive Computing Chip Price by Type (2018-2029)
6 Segment by Application
6.1 Global Automotive Grade Smart Automotive Computing Chip Production by Application (2018-2029)
6.1.1 Global Automotive Grade Smart Automotive Computing Chip Production by Application (2018-2023)
6.1.2 Global Automotive Grade Smart Automotive Computing Chip Production by Application (2024-2029)
6.1.3 Global Automotive Grade Smart Automotive Computing Chip Production Market Share by Application (2018-2029)
6.2 Global Automotive Grade Smart Automotive Computing Chip Production Value by Application (2018-2029)
6.2.1 Global Automotive Grade Smart Automotive Computing Chip Production Value by Application (2018-2023)
6.2.2 Global Automotive Grade Smart Automotive Computing Chip Production Value by Application (2024-2029)
6.2.3 Global Automotive Grade Smart Automotive Computing Chip Production Value Market Share by Application (2018-2029)
6.3 Global Automotive Grade Smart Automotive Computing Chip Price by Application (2018-2029)
7 Key Companies Profiled
7.1 Qualcomm
7.1.1 Qualcomm Automotive Grade Smart Automotive Computing Chip Corporation Information
7.1.2 Qualcomm Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.1.3 Qualcomm Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.1.4 Qualcomm Main Business and Markets Served
7.1.5 Qualcomm Recent Developments/Updates
7.2 MediaTek
7.2.1 MediaTek Automotive Grade Smart Automotive Computing Chip Corporation Information
7.2.2 MediaTek Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.2.3 MediaTek Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.2.4 MediaTek Main Business and Markets Served
7.2.5 MediaTek Recent Developments/Updates
7.3 Kneron
7.3.1 Kneron Automotive Grade Smart Automotive Computing Chip Corporation Information
7.3.2 Kneron Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.3.3 Kneron Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.3.4 Kneron Main Business and Markets Served
7.3.5 Kneron Recent Developments/Updates
7.4 Infineon
7.4.1 Infineon Automotive Grade Smart Automotive Computing Chip Corporation Information
7.4.2 Infineon Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.4.3 Infineon Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.4.4 Infineon Main Business and Markets Served
7.4.5 Infineon Recent Developments/Updates
7.5 NXP Semiconductors
7.5.1 NXP Semiconductors Automotive Grade Smart Automotive Computing Chip Corporation Information
7.5.2 NXP Semiconductors Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.5.3 NXP Semiconductors Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.5.4 NXP Semiconductors Main Business and Markets Served
7.5.5 NXP Semiconductors Recent Developments/Updates
7.6 Renesas Electronics
7.6.1 Renesas Electronics Automotive Grade Smart Automotive Computing Chip Corporation Information
7.6.2 Renesas Electronics Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.6.3 Renesas Electronics Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.6.4 Renesas Electronics Main Business and Markets Served
7.6.5 Renesas Electronics Recent Developments/Updates
7.7 Texas Instruments Incorporated
7.7.1 Texas Instruments Incorporated Automotive Grade Smart Automotive Computing Chip Corporation Information
7.7.2 Texas Instruments Incorporated Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.7.3 Texas Instruments Incorporated Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.7.4 Texas Instruments Incorporated Main Business and Markets Served
7.7.5 Texas Instruments Incorporated Recent Developments/Updates
7.8 STMicroelectronics
7.8.1 STMicroelectronics Automotive Grade Smart Automotive Computing Chip Corporation Information
7.8.2 STMicroelectronics Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.8.3 STMicroelectronics Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.8.4 STMicroelectronics Main Business and Markets Served
7.7.5 STMicroelectronics Recent Developments/Updates
7.9 Bosch
7.9.1 Bosch Automotive Grade Smart Automotive Computing Chip Corporation Information
7.9.2 Bosch Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.9.3 Bosch Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.9.4 Bosch Main Business and Markets Served
7.9.5 Bosch Recent Developments/Updates
7.10 Continental
7.10.1 Continental Automotive Grade Smart Automotive Computing Chip Corporation Information
7.10.2 Continental Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.10.3 Continental Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.10.4 Continental Main Business and Markets Served
7.10.5 Continental Recent Developments/Updates
7.11 Xilinx
7.11.1 Xilinx Automotive Grade Smart Automotive Computing Chip Corporation Information
7.11.2 Xilinx Automotive Grade Smart Automotive Computing Chip Product Portfolio
7.11.3 Xilinx Automotive Grade Smart Automotive Computing Chip Production, Value, Price and Gross Margin (2018-2023)
7.11.4 Xilinx Main Business and Markets Served
7.11.5 Xilinx Recent Developments/Updates
8 Industry Chain and Sales Channels Analysis
8.1 Automotive Grade Smart Automotive Computing Chip Industry Chain Analysis
8.2 Automotive Grade Smart Automotive Computing Chip Key Raw Materials
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.3 Automotive Grade Smart Automotive Computing Chip Production Mode & Process
8.4 Automotive Grade Smart Automotive Computing Chip Sales and Marketing
8.4.1 Automotive Grade Smart Automotive Computing Chip Sales Channels
8.4.2 Automotive Grade Smart Automotive Computing Chip Distributors
8.5 Automotive Grade Smart Automotive Computing Chip Customers
9 Automotive Grade Smart Automotive Computing Chip Market Dynamics
9.1 Automotive Grade Smart Automotive Computing Chip Industry Trends
9.2 Automotive Grade Smart Automotive Computing Chip Market Drivers
9.3 Automotive Grade Smart Automotive Computing Chip Market Challenges
9.4 Automotive Grade Smart Automotive Computing Chip Market Restraints
10 Research Finding and Conclusion
11 Methodology and Data Source
11.1 Methodology/Research Approach
11.1.1 Research Programs/Design
11.1.2 Market Size Estimation
11.1.3 Market Breakdown and Data Triangulation
11.2 Data Source
11.2.1 Secondary Sources
11.2.2 Primary Sources
11.3 Author List
11.4 Disclaimer
Published By : QY Research
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