Global Millimeter-wave Radar Chips Market Strategic Research Report
By Type: 24GHz, 60GHz, 76–81GHz, Others
By Application: Automotive – Exterior ADAS, Automotive – In-cabin Sensing, Industrial/Infrastructure/Robotics, Consumer & Smart Home, Others
Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America
Key Players: Infineon, NXP, Texas Instruments, Asahi Kasei Microdevices (AKM), Socionext, Acconeer, KaiKuTeK (JMicron Technology), Calterah, Possumic Technology, AirTouch (Shanghai) Intelligent Technology, Iclegend Micro, SGR Semiconductors, ifLabel
Overview
Scope of the Report
The global Millimeter-wave Radar Chips market size is predicted to grow from US$ 2,631 million in 2025 to US$ 7,420 million in 2032; it is expected to grow at a CAGR of 14.3% from 2026 to 2032.
Millimeter-wave radar chips are sensing semiconductors that integrate high-frequency RF, analog front end, ADC, digital signal processing and automotive or industrial interfaces into a single chip or chipset. Their core function is to extract range, velocity, azimuth and elevation information from reflected electromagnetic waves. Most products use FMCW architecture. Automotive exterior sensing is concentrated in the 76–81GHz band, while in-cabin, industrial and consumer sensing commonly uses 60GHz; 24GHz remains mainly in legacy and selected low-cost systems. Key parameters include frequency band, available bandwidth, Tx/Rx channel count, detection range, angular resolution, power consumption, operating temperature and functional-safety capability. Typical bandwidth is 4–5GHz, enabling centimeter-level range resolution. Mainstream automotive SoCs are usually 3T4R or 4T4R, while high-resolution imaging radar platforms are moving toward 8T8R, 24T24R, 32T32R and larger virtual arrays. Long-range front radar usually covers 200–300 meters, and premium high-resolution platforms can approach the 400-meter class. Automotive-grade devices commonly target -40°C to 125/140°C operation, with more integrated devices moving toward higher junction-temperature design margins.
The technology roadmap of millimeter-wave radar chips has shifted from basic ranging and velocity sensing to high-resolution spatial perception. The first phase was based on SiGe or RFCMOS RF front ends paired with external processors. The second phase moved toward RFCMOS single-chip SoCs integrating PLL, transmitter, receiver, baseband, ADC, DSP/MCU, hardware accelerator and vehicle interfaces. The third phase is imaging radar chipsets, using MIMO, cascading, on-chip calibration, interference mitigation, low phase noise, consistent RF packaging and dedicated radar processors to generate denser point clouds. Packaging and antenna integration are now core differentiation points. AiP, AoP, LoP and waveguide interfaces reduce RF routing loss, improve repeatability and shrink radar-module size. On the algorithm side, the stack is moving from FFT, CFAR, DoA estimation, clustering and tracking toward raw-signal AI, semantic point clouds, occupancy grids, object classification and sensor fusion. As a result, millimeter-wave radar chips are taking on more edge-perception workloads.
Demand for millimeter-wave radar chips is led by automotive production programs and is expanding into industrial sensing, robotics, smart spaces and health-related monitoring. Automotive use cases include front radar, corner radar, rear radar, parking radar, door radar, in-cabin vital-sign sensing and child-presence detection. The demand drivers are AEB, ACC, BSD, LCA, NOA, highway pilot and L2+/L3 automated-driving functions. Non-automotive applications emphasize privacy, all-weather operation and low-light robustness, covering smart lighting, presence sensing, fall detection, security monitoring, industrial collision avoidance, level measurement, traffic monitoring and mobile-robot obstacle avoidance. The supply chain includes EDA/IP, RF CMOS process, SiGe process, foundry capacity, OSAT, antenna materials, low-loss PCB/substrate, high-frequency test equipment, radar chips, radar modules, embedded algorithms, Tier-1s, OEMs and industrial or IoT device makers. Major chip vendors include Texas Instruments, NXP, Infineon, STMicroelectronics, Renesas, Calterah, Uhnder, Arbe and Vayyar, while system and module participants include Bosch, Continental, ZF, HELLA, Denso, Aptiv and multiple China-based automotive electronics suppliers.
The industry is currently at the intersection of automotive scale-up, imaging-radar upgrade and category expansion into in-cabin and industrial sensing. Texas Instruments is reinforcing high-integration 76–81GHz automotive radar SoCs and 60GHz in-cabin radar with edge AI. NXP covers corner radar, long-range radar and imaging radar through 77GHz RFCMOS transceivers, radar processors and radar SoCs. Infineon continues to expand low-power 60GHz radar for IoT and in-cabin sensing. In 2026, NXP introduced an 8T8R highly integrated automotive radar transceiver, paired with its next-generation radar processor for high-resolution production platforms. HELLA’s ForWave7HD high-resolution radar uses an architecture of up to 32 transmit and 32 receive channels, targets detection up to the 400-meter class, and is scheduled for its first customer program in mid-2028 with an order value in the several-hundred-million-euro range. In China, Calterah's cumulative mmWave radar SoC shipments exceeded 30 million Pcs by the end of the first quarter of 2026, with more than 300 production vehicle models using its chips; its over-RMB1 billion Series E financing and IPO tutoring process in 2026 also moved millimeter-wave radar chips further from technology substitution into capital-market validation.
The growth logic of millimeter-wave radar chips is moving from higher radar fitment per vehicle to higher sensing value per radar, higher chip integration and broader application boundaries. In automotive, 4D imaging radar is migrating from premium models toward mainstream programs. Vehicle configurations are expanding from one front radar plus four corner radars toward denser corner coverage, in-cabin sensing, door-zone sensing and short-range parking perception. Premium platforms will emphasize fusion with cameras, lidar and centralized compute, while mainstream platforms will focus on cost, power, BOM simplification and functional-safety consistency. Technically, millimeter-wave radar chips will continue to evolve toward higher channel counts, on-chip calibration, lower phase noise, stronger interference mitigation, AI acceleration, ASIL-B/ASIL-D alignment, cybersecurity and OTA configurability. Non-automotive growth will come from 60GHz presence sensing, elderly care, smart buildings, industrial safety and robotics, where customers are fragmented, algorithms are scenario-specific, certification pressure is lower than automotive, and product cycles are faster. Competitive advantage is no longer defined by RF specifications alone; it is increasingly defined by the integrated capability of chip, package, antenna, algorithm, toolchain and automotive-grade mass production.
Key Questions Addressed in this Report
What is the 10-year outlook for the global Millimeter-wave Radar Chips market?
What factors are driving Millimeter-wave Radar Chips market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Millimeter-wave Radar Chips market opportunities vary by end market size?
How does Millimeter-wave Radar Chips break out by Frequency, by Application?
This report presents a comprehensive overview of the global Millimeter-wave Radar Chips market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.
Segment by Frequency
- 24GHz
- 60GHz
- 76–81GHz
- Others
Segment by Packaging
- Single-chip
- SoC
Segment by Functional Range
- Long-range
- Mid-range
- Short-range
Segment by Dimension
- 2D
- 3D
- 4D
Segment by Application
- Automotive – Exterior ADAS
- Automotive – In-cabin Sensing
- Industrial/Infrastructure/Robotics
- Consumer & Smart Home
- Others
Who Can Use This Report?
This report is written for decision-makers who need a clear, data-backed view of the global Millimeter-wave Radar Chips market:
- Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
- Distributors, channel partners and end users in Automotive – Exterior ADAS, Automotive – In-cabin Sensing, Industrial/Infrastructure/Robotics evaluating demand and sourcing options
- Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
- Government agencies, industry associations and research institutions tracking industry developments and policy impact
Market snapshot
Global Millimeter-wave Radar Chips Market Strategic Research Report snapshot, 2025–2032
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.Segments covered in this report
Table of contents
01Executive Summary
02Industry Overview & Forecast
- 2.1.1 Market Definition and Scope
- 2.1.2 Market Size and Growth Forecast
- 2.1.3 Volume Analysis
- 2.1.4 Segment Outlook by Type
- 2.1.5 Segment Outlook by Application
- 2.1.6 Regional Outlook
- 2.1.7 Structural Developments Shaping the Forecast
- 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
- 3.1 Market Segmentation by Type
- 3.1.1 Market by Type Overview
- 3.1.2 24GHz
- 3.1.3 60GHz
- 3.1.4 76–81GHz
- 3.1.5 Others
- 3.1.6 Volume Analysis
04Market Segmentation by Application
- 4.1 Market Segmentation by Application
- 4.1.1 Market by Application Overview
- 4.1.2 Automotive – Exterior ADAS
- 4.1.3 Automotive – In-cabin Sensing
- 4.1.4 Industrial/Infrastructure/Robotics
- 4.1.5 Consumer & Smart Home
- 4.1.6 Others
- 4.1.7 Volume Analysis
05Regional Market Forecast
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
06Country-Level Market Forecast
- 6.1 Asia Pacific
- 6.1.1 China
- 6.1.2 Japan
- 6.1.3 Korea
- 6.1.4 Southeast Asia
- 6.1.5 India
- 6.1.6 Australia
- 6.1.7 Rest of Asia Pacific
- 6.2 North America
- 6.2.1 United States
- 6.2.2 Canada
- 6.2.3 Mexico
- 6.2.4 Rest of North America
- 6.3 Europe
- 6.3.1 Germany
- 6.3.2 France
- 6.3.3 UK
- 6.3.4 Italy
- 6.3.5 Russia
- 6.3.6 Rest of Europe
- 6.4 Middle East & Africa
- 6.4.1 Egypt
- 6.4.2 South Africa
- 6.4.3 Israel
- 6.4.4 Turkey
- 6.4.5 GCC Countries
- 6.4.6 Rest of Middle East & Africa
- 6.5 Latin America
- 6.5.1 Brazil
- 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
- 7.1 Growth Drivers & Inhibitors
- 7.1.1 Section Overview
- 7.1.2 Growth Drivers
- 7.1.3 Growth Inhibitors
- 7.1.4 Driver and Inhibitor Impact Assessment
- 7.1.5 Analyst Perspective
08Key Company Profiles
- 8.1 Infineon
- 8.1.1 Company Overview
- 8.1.2 Key Products & Segments
- 8.1.3 Financial Performance (2023–2025)
- 8.1.4 Business Strategy
- 8.1.5 SWOT Analysis
- 8.1.6 Strategic Implications (2026–2032)
- 8.2 NXP
- 8.2.1 Company Overview
- 8.2.2 Key Products & Segments
- 8.2.3 Financial Performance (2023–2025)
- 8.2.4 Business Strategy
- 8.2.5 SWOT Analysis
- 8.2.6 Strategic Implications (2026–2032)
- 8.3 Texas Instruments
- 8.3.1 Company Overview
- 8.3.2 Key Products & Segments
- 8.3.3 Financial Performance (2023–2025)
- 8.3.4 Business Strategy
- 8.3.5 SWOT Analysis
- 8.3.6 Strategic Implications (2026–2032)
- 8.4 Asahi Kasei Microdevices (AKM)
- 8.4.1 Company Overview
- 8.4.2 Key Products & Segments
- 8.4.3 Financial Performance (2023–2025)
- 8.4.4 Business Strategy
- 8.4.5 SWOT Analysis
- 8.4.6 Strategic Implications (2026–2032)
- 8.5 Socionext
- 8.5.1 Company Overview
- 8.5.2 Key Products & Segments
- 8.5.3 Financial Performance (2023–2025)
- 8.5.4 Business Strategy
- 8.5.5 SWOT Analysis
- 8.5.6 Strategic Implications (2026–2032)
- 8.6 Acconeer
- 8.6.1 Company Overview
- 8.6.2 Key Products & Segments
- 8.6.3 Financial Performance (2023–2025)
- 8.6.4 Business Strategy
- 8.6.5 SWOT Analysis
- 8.6.6 Strategic Implications (2026–2032)
- 8.7 KaiKuTeK (JMicron Technology)
- 8.7.1 Company Overview
- 8.7.2 Key Products & Segments
- 8.7.3 Financial Performance (2023–2025)
- 8.7.4 Business Strategy
- 8.7.5 SWOT Analysis
- 8.7.6 Strategic Implications (2026–2032)
- 8.8 Calterah
- 8.8.1 Company Overview
- 8.8.2 Key Products & Segments
- 8.8.3 Financial Performance (2023–2025)
- 8.8.4 Business Strategy
- 8.8.5 SWOT Analysis
- 8.8.6 Strategic Implications (2026–2032)
- 8.9 Possumic Technology
- 8.9.1 Company Overview
- 8.9.2 Key Products & Segments
- 8.9.3 Financial Performance (2023–2025)
- 8.9.4 Business Strategy
- 8.9.5 SWOT Analysis
- 8.9.6 Strategic Implications (2026–2032)
- 8.10 AirTouch (Shanghai) Intelligent Technology
- 8.10.1 Company Overview
- 8.10.2 Key Products & Segments
- 8.10.3 Financial Performance (2023–2025)
- 8.10.4 Business Strategy
- 8.10.5 SWOT Analysis
- 8.10.6 Strategic Implications (2026–2032)
- 8.11 Iclegend Micro
- 8.11.1 Company Overview
- 8.11.2 Key Products & Segments
- 8.11.3 Financial Performance (2023–2025)
- 8.11.4 Business Strategy
- 8.11.5 SWOT Analysis
- 8.11.6 Strategic Implications (2026–2032)
- 8.12 SGR Semiconductors
- 8.12.1 Company Overview
- 8.12.2 Key Products & Segments
- 8.12.3 Financial Performance (2023–2025)
- 8.12.4 Business Strategy
- 8.12.5 SWOT Analysis
- 8.12.6 Strategic Implications (2026–2032)
- 8.13 ifLabel
- 8.13.1 Company Overview
- 8.13.2 Key Products & Segments
- 8.13.3 Financial Performance (2023–2025)
- 8.13.4 Business Strategy
- 8.13.5 SWOT Analysis
- 8.13.6 Strategic Implications (2026–2032)
09Competitive Landscape
- 9.1 Competitive Landscape Overview
- 9.2 Competitive Intensity Assessment
- 9.3 Key Player Strategies & Positioning
- 9.4 Competitive Dynamics & Strategic Outlook
- 9.4.1 Emerging Competitive Threats
- 9.4.2 Consolidation vs. Fragmentation Outlook
- 9.4.3 Competitive Response Matrix
- 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
- 10.1 Threat of New Entrants
- 10.2 Bargaining Power of Buyers
- 10.3 Bargaining Power of Suppliers
- 10.4 Threat of Substitutes
- 10.5 Competitive Rivalry
11PESTLE Analysis
- 11.1 Political
- 11.2 Economic
- 11.3 Social and Demographic
- 11.4 Technological
- 11.5 Legal and Regulatory
- 11.6 Environmental
- 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
- 13.1 Future Trends & Outlook
- 13.1.1 Trend Summary and Commercial Maturity Assessment
- 13.1.2 Technology and Innovation Trends
- 13.1.3 Long-Term Market Outlook
- 13.1.4 Investment & M&A Activity Outlook
- 13.1.5 Overall Outlook Assessment
Frequently asked questions
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Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.
CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.
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