Automotive Imaging Market Size and Share
Automotive Imaging Market Analysis by Mordor Intelligence
The automotive imaging market reached USD 5.7 billion in 2025 and is forecast to rise to USD 8.4 billion by 2030, translating into an 8.06% CAGR. This growth comes as vehicle platforms evolve into software-defined systems that depend on cameras, LiDAR and imaging radar for perception across all driving modes. Momentum is strongest where New Car Assessment Programme (NCAP) protocols, automatic emergency braking (AEB) requirements and over-the-air (OTA) cybersecurity rules converge, compelling automakers to add more high-resolution cameras and depth sensors per vehicle. Cost breakthroughs in stacked single-photon avalanche diode (SPAD) time-of-flight (ToF) components, together with 8-Mpixel high-dynamic-range (HDR) CMOS imagers, lower the entry barrier for mass-market models. At the same time, robotaxi pilots, particularly in North America and China, validate >12-camera reference designs that will eventually cascade into passenger cars. Technology suppliers respond by integrating AI image-signal-processing blocks directly on-sensor, cutting latency by 30% while reducing printed-circuit-board footprint and power budgets.
Key Report Takeaways
- By product type, CMOS image sensors held 38.6% of automotive imaging market share in 2024 and remain the revenue anchor.
- By product type, solid-state LiDAR is advancing at a 29.4% CAGR to 2030, giving it the fastest growth trajectory in the automotive imaging market.
- By vehicle type, the passenger-car segment generated 63.2% of 2024 revenue, whereas robotaxis and shuttles are projected to expand at a 38.7% CAGR through 2030.
- By level of automation, SAE L2 accounted for 46.0% of deployments in 2024; SAE L4+ solutions are forecast to post a 35.2% CAGR over the period.
- By application, rear-view cameras represented 28.4% of the automotive imaging market size in 2024, while in-cabin monitoring leads growth at a 27.1% CAGR.
- By imaging technology, 2-D CMOS retained 44.1% of the automotive imaging market size in 2024; 4-D radar is set to grow at 24.3% CAGR.
- Geographically, Asia-Pacific commanded 42.0% of 2024 revenue and is expected to progress at an 11.4% CAGR to 2030.
Global Automotive Imaging Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Heightened NCAP-driven multi-camera mandates | 2.10% | Global, with early gains in EU, US, China | Medium term (2-4 years) |
| Cost-down of stacked SPAD ToF sensors below US$50 | 1.80% | APAC core, spill-over to North America | Short term (≤ 2 years) |
| Rapid shift to 8-Mpixel HDR image sensors in ADAS | 1.50% | Global, with concentration in premium segments | Medium term (2-4 years) |
| Robotaxi pilots triggering >12-camera architectures | 2.30% | North America, China, select EU cities | Long term (≥ 4 years) |
| Cyber-secure OTA update regulations (UNECE R156) | 1.20% | EU, Japan, South Korea, expanding globally | Short term (≤ 2 years) |
| Integrated AI ISP reducing latency by 30% | 1.70% | Global, with early adoption in APAC | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Heightened NCAP-driven Multi-camera Mandates
Evolving NCAP rules require broader camera coverage for higher safety ratings. The US National Highway Traffic Safety Administration ruled that all light vehicles must feature AEB by September 2029, pushing automakers to add forward, side and rear imaging units for pedestrian detection. Euro NCAP’s 2026 protocol introduces enhanced vulnerable-road-user assessments, encouraging high-dynamic-range sensors able to operate in varied lighting. China NCAP 2024 implements similar multi-camera benchmarks with added emphasis on night-vision capability, further lifting demand for thermal imaging. Together, these standards turn multi-camera arrays into foundational safety infrastructure rather than premium options. Suppliers that deliver AEC-Q-qualified 8-Mpixel sensors stand to benefit as OEMs converge on four- to six-camera baselines for all trims of future model years. [1]National Highway Traffic Safety Administration, “Final Rule: Automatic Emergency Braking Systems for Light Vehicles,” nhtsa.gov
Cost-down of Stacked SPAD ToF Sensors Below USD 50
Sony’s IMX479 stacked SPAD depth sensor exemplifies how manufacturing scale drives solid-state LiDAR costs below USD 50, unlocking depth perception for mid-tier vehicles. SPAD arrays now achieve 37% photon-detection efficiency at 300 m range, meeting ISO 26262 redundancy guidelines without mechanical scanning. Automakers leverage the economic crossover to deploy hybrid camera-LiDAR bundles that mitigate corner-case failures and improve automatic emergency braking performance. Industry trackers anticipate SPAD-based ToF penetration to exceed 40% of global new-vehicle programs by 2027, compared with under 5% in 2024, confirming the cost inflection as a key growth catalyst for the automotive imaging market. [2]Sony Semiconductor Solutions, “Sony Semiconductor Solutions to Release Stacked SPAD Depth Sensor for Automotive LiDAR Applications,” sony-semicon.com
Rapid Shift to 8-Mpixel HDR Image Sensors in ADAS
Sony’s ISX038 CMOS imager outputs RAW and YUV streams simultaneously and delivers 106 dB dynamic range, enabling single-camera modules to replace multiple lower-resolution devices. OEMs such as Subaru embed 8-Mpixel sensors in next-generation EyeSight systems to classify objects beyond 200 m while keeping ASIL-C compliance. Higher resolution improves long-range object identification, which is critical for highway-speed AEB and adaptive cruise control. The accelerated migration toward 8-Mpixel architectures therefore raises average sensor selling prices and deepens semiconductor content per vehicle, directly lifting the automotive imaging market.
Robotaxi Pilots Triggering >12-camera Architectures
Waymo’s Jaguar I-Pace robotaxi integrates 51 sensors, including multi-spectral cameras for full 360-degree perception. Tesla is commercializing a camera-only robotaxi concept that relies on high-performance AI processors to extract depth cues, shaping supplier roadmaps toward higher resolution and global-shutter designs. The technical proof points created by robotaxi fleets orient consumer-vehicle programs toward similar topologies, reinforcing the long-term pull for complex imaging suites in the automotive imaging market.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Persistent thermal management issues in 120°C engine bays | -1.40% | Global, with severity in hot climates | Medium term (2-4 years) |
| L4 regulatory ambiguity delaying high-volume LiDAR take-rate | -2.10% | North America, EU regulatory zones | Long term (≥ 4 years) |
| Silicon supply crunch for BSI pixels <2 µm | -1.80% | Global, concentrated in advanced nodes | Short term (≤ 2 years) |
| Radar–camera fusion IP litigation risk | -0.90% | North America, EU legal jurisdictions | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Persistent Thermal Management Issues in 120 °C Engine Bays
Cameras mounted near radiators or exhaust manifolds face temperature cycling from -40 °C to +125 °C, compromising alignment and accelerating component aging. Samsung Electro-Mechanics is readying weather-proof modules with lens heating and hydrophobic coatings, but these counter-measures inflate bill-of-materials cost. STMicroelectronics’ VG6640 sensor extends operation to +125 °C, yet sustained exposure still erodes signal-to-noise margins. Thermal stress therefore hinders free placement of forward-facing cameras and limits uptake in certain vehicle segments, tempering growth for the automotive imaging market.
L4 Regulatory Ambiguity Delaying High-Volume LiDAR Take-rate
UNECE Working Party 29 has yet to finalize cohesive Level 4 frameworks, leaving OEMs uncertain about the sensor redundancy they must certify. The lack of clarity compels program engineers to qualify different sensor stacks for Europe, North America and China, slowing purchasing commitments that could drive LiDAR cost curves downward. Even market leader Hesai, which holds 37% global automotive LiDAR share, notes that heterogeneous rules complicate global platform scaling. Until uniform homologation paths emerge, mainstream brands will favor mature camera-radar suites and delay high-volume LiDAR integration, shaving percentage points off the automotive imaging market CAGR.
Segment Analysis
By Product Type: CMOS Sensors Drive Volume While LiDAR Captures Growth
CMOS image sensors accounted for 38.6% of 2024 revenue and set the cadence for the automotive imaging market size because nearly every vehicle grade depends on at least one CMOS-based camera. Sony aims to lift its automotive share to 43% by fiscal 2026 on the strength of stacked-sensor roadmaps and stable wafer supply contracts. Increasing frame rates and HDR levels allow a single 8-Mpixel module to replace multiple VGA units, cutting harness weight while raising content value. The segment also benefits from cost-optimized wafer stacking that integrates AI ISP blocks, shortening development cycles for Tier 1 modules.
Solid-state LiDAR, in contrast, contributed a modest revenue base in 2024 but demonstrates a 29.4% CAGR through 2030, the fastest across product categories in the automotive imaging market. Vendors such as Luminar deliver 4-fold performance gains and 50% cost reductions in one product turn, shrinking housing dimensions to fit behind windshield blackouts. Mass-market adoption accelerates when OEMs pair LiDAR with existing camera suites for higher NCAP ratings, unlocking advanced hands-free features. The combination of volume CMOS shipments and high-growth LiDAR pulls supporting segments—vision processors, ToF sensors and camera-module assemblies—up the value chain.
Note: Segment shares of all individual segments available upon report purchase
By Vehicle Type: Passenger Cars Dominate While Robotaxis Drive Innovation
Passenger cars generated 63.2% of automotive imaging market demand in 2024, anchored by global AEB mandates that compel inclusion of rear-view and forward-facing cameras. Typical C-segment sedans now ship with eight imagers; mid-cycle refreshes slated for 2027 already blueprint for twelve. Rising trim penetration for 360-degree surround-view cameras further elevates average sensor counts, sustaining high wafer utilization at foundry partners.
Robotaxis and shuttles, albeit smaller in unit terms, carry a 38.7% CAGR that outpaces every other vehicle category. Fleet operators insist on redundant camera-LiDAR-radar stacks exceeding 50 sensors to meet no-driver fallback requirements. These reference designs validate megapixel-grade thermal imagers, 4-D radar and multi-camera synchronization networks that later flow into premium passenger vehicles. The technology spillover feeds cross-segment scalability, cementing the automotive imaging market as a beneficiary of autonomous mobility trials.
By Level of Automation: L2 Systems Dominate Current Deployments
SAE Level 2 systems held 46.0% share in 2024, supported by widespread consumer acceptance and straightforward homologation. Standard feature packs bundle adaptive cruise control, lane-keep assist and traffic-sign recognition—functionality that relies on three to five cameras and keeps unit prices attractive. Continuous software updates boost perceived value without altering the hardware bill, ensuring recurring demand for mid-tier imagers.
Level 4+ prototypes, though limited in volume, are forecast to advance at 35.2% CAGR and exert strong influence on sensor-suite specifications. Automakers developing hands-off cruising or urban chauffeur features need low-latency imaging pipelines and long-range LiDAR redundancy. As regulatory frameworks settle, the automotive imaging market will see an uptick in dual-LiDAR front-facing configurations and multi-camera fail-operational topologies that originated in robotaxi pilots.
Note: Segment shares of all individual segments available upon report purchase
By Application: Rear-View Cameras Provide Foundation While In-Cabin Monitoring Accelerates
Rear-view cameras formed the largest application group at 28.4% of 2024 revenue after becoming mandatory in the United States, Canada, EU and China. Commoditized VGA sensors and economies of scale curb unit pricing, yet global volumes keep the segment robust. Greater differentiation now occurs in lens cleaning, thermal durability and miniaturization, pushing suppliers to integrate micro-heaters and water-repellent coatings directly into housings.
Driver and occupant monitoring systems deliver the steepest expansion, posting a 27.1% CAGR as Level 2+ regulation requires continuous driver gaze tracking. Near-infrared global-shutter sensors with RGB-IR pixel architectures acquire accurate eye-closure metrics even under sunglass occlusion. Automakers combine these imagers with time-of-flight depth cameras to classify occupants, deploy smart airbags and enable hands-off verification for conditional automation. As user-experience designers add gaze-based HMI interactions, in-cabin monitoring becomes a strategic revenue lever, bolstering the automotive imaging market.
Geography Analysis
Asia-Pacific led with 42.0% of 2024 revenue and an 11.4% CAGR outlook, anchored by China’s aggressive electrification targets and LiDAR scale. Hesai alone captured 37% global LiDAR shipments, extending from robotaxis into premium EVs. Japanese suppliers add momentum; Sony seeks 43% of global automotive CMOS share by 2026 as domestic OEMs expand camera counts. South Korea contributes through Samsung Electro-Mechanics’ weather-proof modules, mitigating regional hot-climate challenges. These developments ensure a continuous pull for sensor wafers, modules and AI processors throughout the region. [3]Hesai Group, “Hesai Tops the Global Automotive LiDAR Ranking for the Third Consecutive Year,” hesaitech.com
North America remains the second-largest market due to early autonomous pilot programs and firm NHTSA timelines for AEB deployment. High-power compute availability and a robust software ecosystem accelerate the adoption of camera-centric ADAS across both passenger cars and robotaxi fleets. Regional suppliers secure long-term allocation of 8-Mpixel sensors, minimizing exposure to potential supply disruptions.
Europe sustains strong demand, propelled by Euro NCAP’s 2026 scoring model that weights pedestrian and cyclist protection heavily. German premium brands incorporate multi-modal sensor fusion to defend market positioning, fostering uptake of 4-D radar and thermal imagers. Middle East and Africa, although nascent, mimic European regulation over time, while South America catches up as local safety agencies tighten crash-avoidance criteria. Across all territories, regulated safety performance underpins the automotive imaging market’s resilience to macroeconomic cycles.
Competitive Landscape
The competitive field exhibits moderate concentration: the five largest suppliers—Sony, ON Semi, OmniVision, Samsung and Bosch—collectively account for roughly 55% of 2024 revenue. Sony capitalizes on wafer-stacking IP to achieve high margins on 8-Mpixel HDR parts. ON Semi secures guaranteed demand by aligning with DENSO in a strategic share purchase arrangement that locks in capacity for ADAS programs. [4]onsemi, “onsemi and DENSO Collaborate for a Strengthened Relationship,” onsemi.com
Partnerships now shape differentiation. Volkswagen teams with Valeo and Mobileye to embed a centralized Surround ADAS platform that fuses 360-degree cameras with imaging radar for Level 2+ features. Continental spins off its Automotive unit as Aumovio to focus investment on software-defined mobility and sensor innovation. Meanwhile, Valeo collaborates with Teledyne FLIR to introduce thermal imaging modules addressing Euro NCAP night-time pedestrian tests.
Emerging LiDAR companies concentrate on cost, size and power. Luminar’s Halo sensor achieves 4-fold range improvement and 3-fold housing reduction, priming the architecture for windshield integration. Innoviz and RoboSense chase similar integration metrics, targeting sub-USD 500 bill-of-materials for volume projects. The dynamic tensions between incumbent CMOS leaders and LiDAR disruptors sustain technological diversity within the automotive imaging market.
Automotive Imaging Industry Leaders
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Sony Group Corporation
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ON Semiconductor Corporation
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OmniVision Technologies, Inc.
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Continental AG (ADAS & Sensor BU)
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Samsung Electronics Co., Ltd.
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- April 2025: Continental unveiled the Aumovio brand following the spin-off of its Automotive Group to sharpen focus on software-defined vehicles.
- March 2025: Volkswagen partnered with Valeo and Mobileye to deploy a Surround ADAS suite in next-generation MQB models.
- January 2025: Sony Semiconductor Solutions launched the IMX479 stacked dToF SPAD depth sensor for automotive LiDAR, offering 520 pixels at 300 m range and 37% photon-detection efficiency.
- January 2025: Luminar showcased the Halo LiDAR sensor at CES 2025, claiming 4× performance and 3× size reduction versus prior architecture.
Global Automotive Imaging Market Report Scope
The major factors driving the growth of the automotive imaging market are an increase in the number of cars, an increase in the use of ADAS, and an increase in the trend of autonomous cars throughout the world. Companies involved in the production of these sensors spend more money on R&D, which opens up new market potential.
Global Automotive Imaging Market is segmented By Type of Product (CMOS Image Sensors, Camera Modules, Vision Processors, LiDAR, Radar) and by Geography.
| CMOS Image Sensors |
| Camera Modules |
| Vision Processors / ISP |
| LiDAR Units |
| Radar Sensors |
| Passenger Cars |
| Light Commercial Vehicles |
| Heavy Commercial Vehicles |
| Robotaxis and Shuttles |
| SAE L0-L1 |
| SAE L2 |
| SAE L2+ |
| SAE L3 |
| SAE L4+ |
| Rear View |
| 360-Surround |
| Forward ADAS |
| Night-Vision & Side-Mirror Replacement |
| In-Cabin Driver/Occupant Monitoring |
| Dashboard / Event Data |
| 2-D CMOS |
| 3-D ToF / Structured Light |
| Mechanical LiDAR |
| Solid-State LiDAR |
| 4-D Imaging Radar |
| North America | United States |
| Canada | |
| Mexico | |
| Europe | United Kingdom |
| Germany | |
| France | |
| Italy | |
| Rest of Europe | |
| Asia-Pacific | China |
| Japan | |
| India | |
| South Korea | |
| Rest of Asia-Pacific | |
| Middle East | Israel |
| Saudi Arabia | |
| United Arab Emirates | |
| Turkey | |
| Rest of Middle East | |
| Africa | South Africa |
| Egypt | |
| Rest of Africa | |
| South America | Brazil |
| Argentina | |
| Rest of South America |
| By Product Type | CMOS Image Sensors | |
| Camera Modules | ||
| Vision Processors / ISP | ||
| LiDAR Units | ||
| Radar Sensors | ||
| By Vehicle Type | Passenger Cars | |
| Light Commercial Vehicles | ||
| Heavy Commercial Vehicles | ||
| Robotaxis and Shuttles | ||
| By Level of Automation | SAE L0-L1 | |
| SAE L2 | ||
| SAE L2+ | ||
| SAE L3 | ||
| SAE L4+ | ||
| By Application | Rear View | |
| 360-Surround | ||
| Forward ADAS | ||
| Night-Vision & Side-Mirror Replacement | ||
| In-Cabin Driver/Occupant Monitoring | ||
| Dashboard / Event Data | ||
| By Imaging Technology | 2-D CMOS | |
| 3-D ToF / Structured Light | ||
| Mechanical LiDAR | ||
| Solid-State LiDAR | ||
| 4-D Imaging Radar | ||
| By Geography | North America | United States |
| Canada | ||
| Mexico | ||
| Europe | United Kingdom | |
| Germany | ||
| France | ||
| Italy | ||
| Rest of Europe | ||
| Asia-Pacific | China | |
| Japan | ||
| India | ||
| South Korea | ||
| Rest of Asia-Pacific | ||
| Middle East | Israel | |
| Saudi Arabia | ||
| United Arab Emirates | ||
| Turkey | ||
| Rest of Middle East | ||
| Africa | South Africa | |
| Egypt | ||
| Rest of Africa | ||
| South America | Brazil | |
| Argentina | ||
| Rest of South America | ||
Key Questions Answered in the Report
What is the current size of the automotive imaging market?
The automotive imaging market was valued at USD 5.7 billion in 2025 and is projected to reach USD 8.4 billion by 2030.
Which product segment grows fastest within the automotive imaging market?
Solid-state LiDAR registers the highest growth, expanding at a 29.4% CAGR through 2030 as costs fall below USD 50 per unit.
Why are 8-Mpixel sensors important for advanced driver assistance systems?
They offer extended detection range beyond 200 m and 106 dB dynamic range, enabling single-camera modules to support highway-speed AEB and adaptive cruise control.
How many cameras does a typical robotaxi use?
Leading robotaxi platforms integrate more than 12 cameras, with some designs exceeding 50 sensors when including LiDAR, radar and ultrasonic devices.
Which region leads the automotive imaging market?
Asia-Pacific leads with 42.0% revenue share in 2024 and shows the fastest growth at an 11.4% CAGR through 2030.
What are the main restraints on market growth?
High engine-bay temperatures that degrade sensors and regulatory ambiguity around Level 4 autonomy slow high-volume LiDAR adoption.
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