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시장보고서
상품코드
1977659
자동차용 AI 칩셋 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)Global Automotive AI Chipset Market Size, Share, Trends & Growth Analysis Report 2026-2034 |
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자동차용 AI 칩셋 시장 규모는 2025년 46억 1,000만 달러에서 2034년에는 270억 6,000만 달러에 달할 것으로 예측되며, 2026년부터 2034년까지 CAGR 21.72%로 성장할 전망입니다.
세계 자동차용 AI 칩셋 시장은 자율주행 및 커넥티드카 기술의 급속한 발전에 힘입어 강력한 성장세를 보이고 있습니다. AI 칩셋은 첨단 운전자 보조 시스템(ADAS), 차량용 인포테인먼트, V2X(차량 간 통신)에서 실시간 데이터 처리를 가능하게 합니다. 보다 안전하고 스마트한 차량에 대한 수요가 증가하면서 승용차 및 상용차 부문 전반에 걸쳐 채택이 가속화되고 있습니다. 자동차 제조사들은 성능과 안전 기능을 향상시키기 위해 AI 탑재 솔루션을 점점 더 많이 통합하고 있습니다.
주요 성장 요인으로는 딥러닝, 컴퓨터 비전, 센서 융합 기술의 발전을 꼽을 수 있습니다. 차량 안전 기준에 대한 규제 당국의 관심이 높아진 것도 제조사들의 AI 기능 탑재를 부추기고 있습니다. 전기자동차와 자율주행차에 대한 투자 확대는 고성능 칩셋에 대한 수요를 더욱 증가시키고 있습니다. 또한, 자동차 제조업체와 반도체 기업과의 제휴는 빠른 기술 혁신과 제품 개발을 촉진하고 있습니다.
향후 레벨3 이상의 자율주행차 보급이 확대됨에 따라 시장은 크게 확대될 것으로 예상됩니다. 처리 능력과 에너지 효율의 지속적인 향상으로 시스템 성능이 강화될 것입니다. 커넥티드카 기술을 도입하는 신흥 시장은 새로운 기회를 제공합니다. 디지털 전환이 자동차 산업을 변화시키는 가운데, 세계 자동차용 AI 칩셋 시장은 장기적으로 큰 잠재력을 가지고 있습니다.
목차
제1장 소개
제2장 주요 요약
제3장 시장 변수, 동향, 프레임워크
제4장 세계의 자동차용 AI 칩셋 시장 : 제품별
제5장 세계의 자동차용 AI 칩셋 시장 : 용도별
제6장 세계의 자동차용 AI 칩셋 시장 : 처리 유형별
제7장 세계의 자동차용 AI 칩셋 시장 : 차종별
제8장 세계의 자동차용 AI 칩셋 시장 : 지역별
제9장 경쟁 구도
제10장 기업 개요
KSM 26.04.06The Automotive AI Chipset Market size is expected to reach USD 27.06 Billion in 2034 from USD 4.61 Billion (2025) growing at a CAGR of 21.72% during 2026-2034.
The Global Automotive AI Chipset Market is witnessing strong growth driven by the rapid advancement of autonomous and connected vehicle technologies. AI chipsets enable real-time data processing for advanced driver assistance systems, in-vehicle infotainment, and vehicle-to-everything communication. Rising demand for safer and smarter vehicles is accelerating adoption across passenger and commercial segments. Automakers are increasingly integrating AI-powered solutions to enhance performance and safety features.
Key growth drivers include advancements in deep learning, computer vision, and sensor fusion technologies. Increasing regulatory focus on vehicle safety standards is encouraging manufacturers to incorporate AI-enabled features. Growing investments in electric and autonomous vehicles are further boosting demand for high-performance chipsets. Additionally, partnerships between automotive manufacturers and semiconductor companies are fostering rapid innovation and product development.
In the future, the market is expected to expand significantly as Level 3 and higher autonomous vehicles gain traction. Continuous improvements in processing power and energy efficiency will enhance system capabilities. Emerging markets adopting connected vehicle technologies will present new opportunities. As digital transformation reshapes the automotive industry, the Global Automotive AI Chipset Market holds substantial long-term potential.
Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:
Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.
Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.
Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.
Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.
Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.
Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.
Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.
MARKET SEGMENTATION
By Product
- GPU
- ASIC
- FPGA
- CPU
By Application
- Advanced Driver Assistance Systems
- Voice and Gesture Recognition
- Infotainment System
- Predictive Maintenance
- Autonomous Driving
- Others
By Processing Type
- Computer Vision
- Machine Learning
- Natural Language Processing
By Vehicle Type
- Passenger Vehicle
- Commercial Vehicle
COMPANIES PROFILED
- Advanced Micro Devices Inc AMD, Xilinx Inc, Graphcore Ltd, Huawei Technologies Co Ltd, IBM Corporation, Intel Corporation, NVIDIA Corporation, Micron Technology Inc, Samsung Electronics Co Ltd
- We can customise the report as per your requirements.
TABLE OF CONTENTS
Chapter 1. PREFACE
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1 Information Analysis
- 1.3.2 Market Formulation & Data Visualization
- 1.3.3 Data Validation & Publishing
- 1.4. Research Scope and Assumptions
- 1.4.1 List of Data Sources
Chapter 2. EXECUTIVE SUMMARY
- 2.1. Market Snapshot
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK
- 3.1. Market Lineage Outlook
- 3.2. Penetration & Growth Prospect Mapping
- 3.3. Value Chain Analysis
- 3.4. Regulatory Framework
- 3.4.1 Standards & Compliance
- 3.4.2 Regulatory Impact Analysis
- 3.5. Market Dynamics
- 3.5.1 Market Drivers
- 3.5.2 Market Restraints
- 3.5.3 Market Opportunities
- 3.5.4 Market Challenges
- 3.6. Porter's Five Forces Analysis
- 3.7. PESTLE Analysis
Chapter 4. GLOBAL AUTOMOTIVE AI CHIPSET MARKET: BY PRODUCT 2022-2034 (USD MN)
- 4.1. Market Analysis, Insights and Forecast Product
- 4.2. GPU Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 4.3. ASIC Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 4.4. FPGA Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 4.5. CPU Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 5. GLOBAL AUTOMOTIVE AI CHIPSET MARKET: BY APPLICATION 2022-2034 (USD MN)
- 5.1. Market Analysis, Insights and Forecast Application
- 5.2. Advanced Driver Assistance Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.3. Voice and Gesture Recognition Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.4. Infotainment System Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.5. Predictive Maintenance Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.6. Autonomous Driving Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 6. GLOBAL AUTOMOTIVE AI CHIPSET MARKET: BY PROCESSING TYPE 2022-2034 (USD MN)
- 6.1. Market Analysis, Insights and Forecast Processing Type
- 6.2. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.3. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.4. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 7. GLOBAL AUTOMOTIVE AI CHIPSET MARKET: BY VEHICLE TYPE 2022-2034 (USD MN)
- 7.1. Market Analysis, Insights and Forecast Vehicle Type
- 7.2. Passenger Vehicle Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 7.3. Commercial Vehicle Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 8. GLOBAL AUTOMOTIVE AI CHIPSET MARKET: BY REGION 2022-2034(USD MN)
- 8.1. Regional Outlook
- 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.2.1 By Product
- 8.2.2 By Application
- 8.2.3 By Processing Type
- 8.2.4 By Vehicle Type
- 8.2.5 United States
- 8.2.6 Canada
- 8.2.7 Mexico
- 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.3.1 By Product
- 8.3.2 By Application
- 8.3.3 By Processing Type
- 8.3.4 By Vehicle Type
- 8.3.5 United Kingdom
- 8.3.6 France
- 8.3.7 Germany
- 8.3.8 Italy
- 8.3.9 Russia
- 8.3.10 Rest Of Europe
- 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.4.1 By Product
- 8.4.2 By Application
- 8.4.3 By Processing Type
- 8.4.4 By Vehicle Type
- 8.4.5 India
- 8.4.6 Japan
- 8.4.7 South Korea
- 8.4.8 Australia
- 8.4.9 South East Asia
- 8.4.10 Rest Of Asia Pacific
- 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.5.1 By Product
- 8.5.2 By Application
- 8.5.3 By Processing Type
- 8.5.4 By Vehicle Type
- 8.5.5 Brazil
- 8.5.6 Argentina
- 8.5.7 Peru
- 8.5.8 Chile
- 8.5.9 South East Asia
- 8.5.10 Rest of Latin America
- 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.6.1 By Product
- 8.6.2 By Application
- 8.6.3 By Processing Type
- 8.6.4 By Vehicle Type
- 8.6.5 Saudi Arabia
- 8.6.6 UAE
- 8.6.7 Israel
- 8.6.8 South Africa
- 8.6.9 Rest of the Middle East And Africa
Chapter 9. COMPETITIVE LANDSCAPE
- 9.1. Recent Developments
- 9.2. Company Categorization
- 9.3. Supply Chain & Channel Partners (based on availability)
- 9.4. Market Share & Positioning Analysis (based on availability)
- 9.5. Vendor Landscape (based on availability)
- 9.6. Strategy Mapping
Chapter 10. COMPANY PROFILES OF GLOBAL AUTOMOTIVE AI CHIPSET INDUSTRY
- 10.1. Top Companies Market Share Analysis
- 10.2. Company Profiles
- 10.2.1 Advanced Micro Devices Inc. (AMD)
- 10.2.2 Xilinx Inc
- 10.2.3 Graphcore Ltd
- 10.2.4 Huawei Technologies Co. Ltd
- 10.2.5 IBM Corporation
- 10.2.6 Intel Corporation
- 10.2.7 NVIDIA Corporation
- 10.2.8 Micron Technology Inc
- 10.2.9 Samsung Electronics Co. Ltd
