차량내용 레이더 반도체 시장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2025-2034년)

The Global Automotive Radar Semiconductors Market was valued at USD 2.9 billion in 2024 and is estimated to grow at a CAGR of 12.4% to reach USD 9.3 billion by 2034.

The steady expansion of this market is attributed to the widespread implementation of advanced driver assistance systems (ADAS) and the growing presence of autonomous driving technologies. Radar semiconductors are a core component of these systems, allowing for functions like adaptive cruise control, lane-keeping, obstacle detection, and collision mitigation. As electrification and connectivity advance in the auto industry, these chips are increasingly critical for enabling real-time safety responses. The market continues to evolve alongside broader semiconductor advancements, with emphasis on performance, reliability, and supply chain resilience. Strong support from regulatory bodies worldwide for safety enhancements in vehicles is also accelerating semiconductor integration. With the automotive ecosystem shifting rapidly toward smart mobility, radar ICs and modules are becoming essential for enabling smarter and safer driving environments. As semiconductor R&D efforts grow, these components are expected to dominate the automotive electronics landscape, particularly in radar-powered systems designed to enhance vehicle awareness, control, and decision-making.

The transceiver chips (MMICs) segment led the market with a 34% share in 2024, due to their pivotal role in transmitting and receiving radar signals. These chips are widely deployed across both long-range and short-range radar systems and offer the high-frequency precision necessary for detecting vehicles, pedestrians, and road hazards. Their superior performance and reliability continue to drive adoption across ADAS and autonomous platforms. As vehicle automation scales globally, demand for these radar transceivers is projected to remain strong.

The 77 GHz radar band segment is forecasted to grow at a 13.6% CAGR through 2034. This frequency band is preferred for long-range radar due to its ability to deliver higher resolution and longer detection range, which is crucial for applications such as forward collision warning, highway driving assistance, and adaptive cruise systems. It has become a staple in both luxury and mid-tier vehicles seeking enhanced driver assistance features.

China Automotive Radar Semiconductors Market generated USD 1.19 billion in 2024. With rapid development in intelligent transportation systems, China is leading the way in automotive radar adoption. Strong governmental support for safety standards and EV promotion has significantly boosted radar IC deployment across vehicle categories. The growing presence of both global and domestic automakers has further strengthened demand for high-performance radar semiconductor solutions in the region.

Key players active in the Automotive Radar Semiconductors Market are STMicroelectronics, Renesas Electronics, Analog Devices (ADI), Infineon Technologies, Texas Instruments (TI), Qorvo, Uhnder, NXP Semiconductors, Vayyar Imaging, and Arbe Robotics. Companies in the Automotive Radar Semiconductors Market are adopting aggressive strategies to stay competitive, including high investment in research and development to enhance chip performance, reduce power consumption, and enable integration with next-gen vehicle systems. Partnerships with automakers and tier-1 suppliers are also key for aligning radar IC design with ADAS and autonomous vehicle requirements. Leading players are expanding production capacity to meet growing demand while diversifying their product portfolios to cater to a range of applications from short-range radar to full-stack autonomous systems.

Table of Contents

Chapter 1 Methodology

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Component
  • 2.2.3 Frequency band
  • 2.2.4 Range
  • 2.2.5 Integration level
  • 2.2.6 Application
• 2.3 TAM Analysis, 2025-2034
• 2.4 CXO perspectives: Strategic imperatives
  • 2.4.1 Executive decision points
  • 2.4.2 Critical success factors
• 2.5 Future outlook
• 2.6 Strategic recommendations
  • 2.6.1 Supply chain diversification strategy
  • 2.6.2 Product portfolio enhancement
  • 2.6.3 Partnership and alliance opportunities
  • 2.6.4 Cost management and pricing strategy

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier landscape
  • 3.1.2 Profit margin analysis
  • 3.1.3 Cost structure
  • 3.1.4 Value addition at each stage
  • 3.1.5 Factor affecting the value chain
  • 3.1.6 Disruptions
• 3.2 Value chain analysis
  • 3.2.1 Upstream value chain
  • 3.2.2 Midstream value chain
  • 3.2.3 Downstream value chain
• 3.3 Industry impact forces
  • 3.3.1 Growth drivers
    • 3.3.1.1 Increasing ADAS adoption
    • 3.3.1.2 Growth of autonomous vehicles
    • 3.3.1.3 Compact and integrated design
    • 3.3.1.4 Increasing vehicle electrification
  • 3.3.2 Industry pitfalls and challenges
    • 3.3.2.1 High development and production costs
    • 3.3.2.2 Technical challenges in harsh environments
    • 3.3.2.3 Supply chain disruptions
    • 3.3.2.4 Cybersecurity concerns
  • 3.3.3 Market opportunities
    • 3.3.3.1 Expansion in emerging markets
    • 3.3.3.2 Integration with ai and sensor fusion
    • 3.3.3.3 Government incentives and safety regulations
    • 3.3.3.4 Adoption in commercial and fleet vehicles
• 3.4 Growth potential analysis
• 3.5 Regulatory landscape
  • 3.5.1 UNECE regulation no. 152 - advanced emergency braking systems (AEBS)
  • 3.5.2 Eu general safety regulation
  • 3.5.3 US federal motor vehicle safety standards (FMVSS)
  • 3.5.4 China miit intelligent and connected vehicle guidelines 2024
  • 3.5.5 Japan mlit autonomous driving safety framework
• 3.6 Porter's analysis
• 3.7 PESTEL analysis
• 3.8 Future trends
• 3.9 Technology and Innovation landscape
  • 3.9.1 Current technologies
    • 3.9.1.1 77 ghz and 79 ghz mmwave radar technology
    • 3.9.1.2 4d imaging radar
    • 3.9.1.3 CMOS and SiGe-based radar socs
  • 3.9.2 Emerging technologies
    • 3.9.2.1 Digital beamforming radar
    • 3.9.2.2 AI-powered radar signal processing
    • 3.9.2.3 Radar-vision sensor fusion Socs
• 3.10 Price trends
  • 3.10.1 By product
  • 3.10.2 By region
• 3.11 Patent analysis
• 3.12 Cost breakdown analysis
• 3.13 Sustainability and environmental aspects
  • 3.13.1 Sustainable practices
  • 3.13.2 Waste reduction strategies
  • 3.13.3 Energy efficiency in production
  • 3.13.4 Eco-friendly Initiatives
  • 3.13.5 Carbon footprint considerations
• 3.14 Vehicle System Integration & Sensor Fusion
  • 3.14.1 Multi-sensor architecture complexity
  • 3.14.2 Radar-camera fusion challenges
  • 3.14.3 Radar-LiDAR integration strategies
  • 3.14.4 ECU integration & processing requirements
  • 3.14.5 Real-time data fusion algorithms
• 3.15 ADAS Application Performance Optimization
  • 3.15.1 Application-specific radar requirements
  • 3.15.2 Range vs resolution trade-offs
  • 3.15.3 Angular resolution enhancement needs
  • 3.15.4 Velocity measurement accuracy
  • 3.15.5 Multi-target detection capabilities
• 3.16 Radar Chip Design & Manufacturing Challenges
  • 3.16.1 Silicon process technology selection
  • 3.16.2 RF circuit design complexity
  • 3.16.3 Antenna-in-package integration
  • 3.16.4 Thermal management solutions
  • 3.16.5 Power consumption optimization
• 3.17 Automotive Supply Chain & Qualification
  • 3.17.1 Automotive-grade component qualification
  • 3.17.2 AEC-Q100 compliance requirements
  • 3.17.3 Long-term supply assurance
  • 3.17.4 Supply chain risk mitigation
• 3.18 Software-Hardware Co-Design Evolution
  • 3.18.1 Software-defined radar architecture
  • 3.18.2 Configurable signal processing
  • 3.18.3 Over-the-air update capabilities
  • 3.18.4 AI algorithm integration
• 3.19 Automotive Safety Standards Compliance
  • 3.19.1 ISO 26262 functional safety requirements
  • 3.19.2 ASIL rating & risk assessment
  • 3.19.3 Safety case development
  • 3.19.4 Hazard analysis & risk assessment (HARA)
• 3.20 Environmental & Operational Challenges
  • 3.20.1 Weather condition performance
  • 3.20.2 Interference mitigation strategies
  • 3.20.3 Multi-path reflection handling
  • 3.20.4 Urban canyon performance
  • 3.20.5 Temperature variation compensation
• 3.21 Cost Optimization & Value Engineering
  • 3.21.1 Chip architecture cost analysis
  • 3.21.2 Integration level vs cost trade-offs
  • 3.21.3 Volume production economics
  • 3.21.4 Total system cost optimization

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis, 2024
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 Latin America
  • 4.2.5 Middle East Africa
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic outlook matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New Product Launches
  • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn, Units)

• 5.1 Key trends
• 5.2 Hardware
  • 5.2.1 RF Front-End & Antennas
  • 5.2.2 Signal Processors
  • 5.2.3 Sensor Packaging & Modules
• 5.3 Software
  • 5.3.1 Signal Processing Software
  • 5.3.2 Sensor Fusion & AI Software
  • 5.3.3 Calibration & Testing Software
• 5.4 Services

Chapter 6 Market Estimates & Forecast, By Frequency Band, 2021 - 2034 ($Mn, Units)

• 6.1 Key trends
• 6.2 24 GHz
• 6.3 77 GHz
• 6.4 79 GHz

Chapter 7 Market Estimates & Forecast, By Range, 2021 - 2034 ($Mn, Units)

• 7.1 Key trends
• 7.2 Short-Range Radar (SRR)
• 7.3 Medium-Range Radar (MRR)
• 7.4 Long-Range Radar (LRR)
• 7.5 Imaging Radar

Chapter 8 Market Estimates & Forecast, By Integration level, 2021 - 2034 ($Mn, Units)

• 8.1 Key trends
• 8.2 Transceiver-Only Radar-on-Chip
• 8.3 Complete Radar SoC (System-on-Chip)
• 8.4 Digital/Imaging Radar Chips

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn, Units)

• 9.1 Key trends
• 9.2 ADAS Safety Systems
  • 9.2.1 Blind-spot detection (BSD)
  • 9.2.2 Autonomous emergency braking (AEB)
  • 9.2.3 Adaptive cruise control (ACC)
  • 9.2.4 Collision avoidance
• 9.3 Autonomous Driving Functions
  • 9.3.1 Highway autopilot
  • 9.3.2 Urban automated driving
  • 9.3.3 Sensor fusion
• 9.4 In cabin solution
• 9.5 EV specific solutions

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Russia
  • 10.3.7 Nordics
  • 10.3.8 Poland
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Vietnam
  • 10.4.7 Singapore
  • 10.4.8 Indonesia
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 South Africa
  • 10.6.2 Saudi Arabia
  • 10.6.3 UAE

Chapter 11 Company Profiles

• 11.1 Global players
  • 11.1.1 Texas Instruments
  • 11.1.2 NXP Semiconductors
  • 11.1.3 Infineon Technologies
  • 11.1.4 Analog Devices
  • 11.1.5 STMicroelectronics
  • 11.1.6 Renesas Electronics
  • 11.1.7 Qualcomm Technologies
  • 11.1.8 Broadcom
• 11.2 Regional players
  • 11.2.1 Continental
  • 11.2.2 Robert Bosch
  • 11.2.3 Denso
  • 11.2.4 Aptiv
  • 11.2.5 Valeo
  • 11.2.6 Magna International
  • 11.2.7 ZF Friedrichshafen
  • 11.2.8 Veoneer (Arriver)
• 11.3 Emerging players and disruptors
  • 11.3.1 Arbe Robotics
  • 11.3.2 Oculii Corp (Ambarella)
  • 11.3.3 Uhnder
  • 11.3.4 Steradian Semiconductors
  • 11.3.5 Echodyne
  • 11.3.6 Metawave
  • 11.3.7 Ainstein AI
  • 11.3.8 RFISee
  • 11.3.9 Vayyar Imaging