Press release
Automotive Grade AI Chip Market Is Projected to Grow At A CAGR of 22.7 % Through 2030| NVIDIA, Intel, IBM
Automotive Grade AI Chip
The Latest Released Automotive Grade AI Chip Market Research assesses the future growth potential of the Automotive Grade AI Chip market and provides information and useful statistics on market structure and size.
This report aims to provide market intelligence and strategic insights to help decision-makers make sound investment decisions and identify potential gaps and growth opportunities.
Additionally, the report identifies and analyses the changing dynamics and emerging trends along with the key drivers, challenges, opportunities and constraints in the Automotive Grade AI Chip market.
The Automotive Grade AI Chip market size is estimated to increase by USD Million at a CAGR of 22.7 % from 2023 to 2030. The report includes historic market data from 2023 to 2030.
The market value is pegged at USD Million.
The Major Players Covered in this Report:
NVIDIA Corporation (United States), Intel Corporation (United States), Advanced Micro Devices (AMD) (United States), Qualcomm Incorporated (United States), Apple Inc. (United States), Google (United States), IBM (United States), Samsung Electronics (South Korea), Huawei Technologies (China), MediaTek Inc (Taiwan), Xilinx Inc. (United States), Microchip Technology Inc. (United States), Texas Instruments (United States), Renesas Electronics Corporation (Japan), NXP Semiconductors (Netherlands), ON Semiconductor (United States)
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Definition:
An "Automotive Grade AI Chip" refers to a specialized integrated circuit (IC) or microchip designed for use in the automotive industry to support artificial intelligence (AI) and machine learning tasks within vehicles. These chips are typically tailored to meet the stringent requirements and challenges of automotive applications, which include safety, reliability, and performance.
Market Trends:
Automotive AI chips were becoming more heterogeneous, combining CPUs, GPUs, NPUs, and other specialized accelerators.
This approach allows for greater flexibility and efficiency in handling diverse AI workloads
Market Drivers:
Automotive AI chips require device drivers to interact with other hardware components in the vehicle.
These drivers serve as intermediary software that enables the AI chip to communicate with various sensors, cameras, LiDAR systems, radar devices, and other input/output devices.
Device drivers ensure that data from sensors can be processed by the AI chip and that the AI chip can send control signals to actuators and other components in the vehicle.
Market Opportunities:
The adoption of ADAS is on the rise, and AI chips play a pivotal role in enabling features like adaptive cruise control, lane-keeping assistance, automated parking, and collision avoidance.
There is a substantial opportunity for AI chip manufacturers to provide high-performance, energy-efficient chips to support these safety and convenience features.
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The titled segments and sub-section of the market are illuminated below :
In-depth analysis of Automotive Grade AI Chip market segments by Types :
Deep learning, Machine Learning, Computer Vision
Detailed analysis of Automotive Grade AI Chip market segments by Applications: Human Machine Interface, Driver Monitoring, Autonomous Driving, Identify Authentication
Major Key Players of the Market: NVIDIA Corporation (United States), Intel Corporation (United States), Advanced Micro Devices (AMD) (United States), Qualcomm Incorporated (United States), Apple Inc. (United States), Google (United States), IBM (United States), Samsung Electronics (South Korea), Huawei Technologies (China), MediaTek Inc (Taiwan), Xilinx Inc. (United States), Microchip Technology Inc. (United States), Texas Instruments (United States), Renesas Electronics Corporation (Japan), NXP Semiconductors (Netherlands), ON Semiconductor (United States)
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
Objectives of the Report:
• -To carefully analyse and forecast the size of the Automotive Grade AI Chip market by value and volume.
• -To estimate the market shares of major segments of the Automotive Grade AI Chip market.
• -To showcase the development of the Automotive Grade AI Chip market in different parts of the world.
• -To analyse and study micro-markets in terms of their contributions to the Automotive Grade AI Chip market, their prospects, and individual growth trends.
• -To offer precise and useful details about factors affecting the growth of the Automotive Grade AI Chip market.
• -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Automotive Grade AI Chip market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
The market is segmented by Global Automotive Grade AI Chip Market Breakdown by Application (Human Machine Interface, Driver Monitoring, Autonomous Driving, Identify Authentication) by By Offering (Hardware, Software) by By Component (Graphic Processing Unit (GPU), Microprocessors, Image Sensors, Biometric Scanners, Others) by By Technology (Deep learning, Machine Learning, Computer Vision) and by Geography (North America, South America, Europe, Asia Pacific, MEA).
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Key takeaways from the Automotive Grade AI Chip market report:
- Detailed consideration of Automotive Grade AI Chip market-particular drivers, Trends, constraints, Restraints, Opportunities, and major micro markets.
- Comprehensive valuation of all prospects and threats in the
- In-depth study of industry strategies for growth of the Automotive Grade AI Chip market-leading players.
- Automotive Grade AI Chip market latest innovations and major procedures.
- Favourable dip inside Vigorous high-tech and market latest trends remarkable the Market.
- Conclusive study about the growth conspiracy of Automotive Grade AI Chip market for forthcoming years.
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Major highlights from Table of Contents:
Automotive Grade AI Chip Market Study Coverage:
• It includes major manufacturers, emerging player's growth story, and major business segments of Automotive Grade AI Chip market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
• Automotive Grade AI Chip Market Executive Summary:
It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
• Automotive Grade AI Chip Market Production by Region Automotive Grade AI Chip Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in Automotive Grade AI Chip Market Report:
• Automotive Grade AI Chip Overview, Definition and Classification Market drivers and barriers
• Automotive Grade AI Chip Market Competition by Manufacturers
• Automotive Grade AI Chip Capacity, Production, Revenue (Value) by Region (2023-2029)
• Automotive Grade AI Chip Supply (Production), Consumption, Export, Import by Region (2023-2029)
• Automotive Grade AI Chip Production, Revenue (Value), Price Trend by Type {Deep learning, Machine Learning, Computer Vision}
• Automotive Grade AI Chip Market Analysis by Application {Human Machine Interface, Driver Monitoring, Autonomous Driving, Identify Authentication}
• Automotive Grade AI Chip Manufacturers Profiles/Analysis Automotive Grade AI Chip Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
• Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
Major questions answered:
• What are influencing factors driving the demand for Automotive Grade AI Chip near future?
• What is the impact analysis of various factors in the Global Automotive Grade AI Chip market growth?
• What are the recent trends in the regional market and how successful they are?
• How feasible is Automotive Grade AI Chip market for long-term investment?
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