Global Automotive AVM (Around View Monitoring) Market Strategic Research Report

Scope of the Report

The global Automotive AVM (Around View Monitoring) market size is predicted to grow from US$ 7,449 million in 2025 to US$ 20,386 million in 2032; it is expected to grow at a CAGR of 15.8% from 2026 to 2032.

Automotive AVM is a system that uses multiple cameras installed around a vehicle (typically located on the front and rear bumpers and side mirrors) to capture images and then stitches them together to display a bird's-eye view of the vehicle's surroundings on the central control screen. This helps drivers gain a comprehensive understanding of the vehicle's surroundings when driving at low speeds, parking, or navigating narrow roads. This system significantly improves driving safety and convenience and is widely used in mid-to-high-end models and intelligent driving assistance systems. In 2024, the pre-installation rate of automotive AVM in China approached 50%. As the technology matures, automotive AVM are penetrating from high-end models to mid-to-low-end models, leading to a rapid increase in pre-installation penetration.

As automobiles evolve from traditional transportation tools into highly intelligent, safe, and scenario-based "mobile living spaces," the demands on environmental perception and driver assistance capabilities are constantly increasing. Especially in complex urban roads, narrow parking spaces, and high-density traffic environments, reducing driving difficulty and improving safety redundancy have become crucial directions for vehicle differentiation. Against this backdrop, the automotive AVM is gradually evolving from an early auxiliary feature into a key perception system within intelligent driving and intelligent cockpit systems.

The AVM uses multiple wide-angle cameras deployed around the vehicle to collect real-time images of the surrounding environment. Through image stitching, distortion correction, and fusion algorithms, it generates a 360° surround-view image of the vehicle on the central control screen or instrument panel. This system significantly reduces blind spots for the driver, improving safety and ease of operation during low-speed driving, parking, U-turns, and navigating narrow roads. It serves as a vital visual perception interface connecting "human-vehicle-environment."

From a market demand perspective, the growth of the AVM is highly correlated with the increasing prevalence of automotive intelligence and the widespread adoption of safety features. On the one hand, the rapid increase in the production volume of new energy passenger vehicles and intelligent connected vehicles has significantly improved consumer acceptance of assisted driving and environmental perception functions. On the other hand, as regulations and the market increasingly focus on driving safety, automotive AVM is gradually penetrating from mid-to-high-end models to mainstream models. The panoramic system is no longer just a "parking tool," but an important component of the overall intelligent vehicle experience, with its installation rate and market size continuing to expand.

From a technological evolution perspective, automotive AVM is continuously upgrading towards higher resolution, greater intelligence, and system integration. Early systems mainly focused on basic image stitching and display functions, while current mainstream solutions have evolved towards high-resolution cameras, more powerful processing units, and more complex algorithm architectures. Simultaneously, Automotive AVM are deeply integrated with ADAS functions, achieving synergy with application scenarios such as automatic parking, low-speed assisted driving, transparent chassis, and obstacle recognition, providing underlying visual data support for higher levels of intelligent driving.

In terms of industry chain structure, automotive AVM exhibits obvious system integration characteristics. The upstream sector includes key components such as camera modules, image processing chips, wiring harnesses, and connectors; the midstream comprises panoramic system solution providers and integrators, responsible for algorithm development, system calibration, and functional integration; and the downstream directly connects with OEMs and integrates into vehicle platform configuration systems. During the selection process, OEMs, in addition to cost factors, place greater emphasis on system stability, image consistency, reliability under complex conditions such as night vision and rain/fog, and compatibility with the vehicle's electronic and electrical architecture.

From a regional market perspective, the European, American, and Japanese markets started earlier in driving safety and driver assistance, and have higher requirements for the imaging quality and system reliability of panoramic systems. The Chinese market, driven by the rapid growth of new energy vehicles and competition in intelligent configurations, has become one of the most active regions globally in terms of demand growth for automotive AVM. The advantages of the local supply chain in algorithm adaptation, localized development, and cost control are gradually becoming apparent, driving the rapid popularization and domestic substitution of panoramic systems.

Looking ahead, the development of the automotive AVM market will focus more on upgrading safety experience, integrating intelligent perception, and expanding scenario-based applications. In terms of safety, higher resolution, lower latency, and more stable image output will become core indicators. In terms of intelligence, automotive AVM will deeply collaborate with radar, ultrasonic sensors, and domain controllers, becoming a crucial visual foundation for multi-sensor fusion. In terms of application, AVM will expand from parking scenarios to more usage scenarios such as low-speed autonomous driving, off-road driving, and complex urban road conditions.

Overall, automotive AVM is evolving from a relatively independent auxiliary function module into a key perception system in intelligent driving and intelligent cockpit systems. Its market prospects are not based on a single functional requirement, but rather on long-term structural growth built upon the popularization of automotive intelligence, upgrades in safety features, and competition in user experience. Those who can continuously deepen their expertise in image quality, algorithm capabilities, system integration, and automotive-grade reliability are more likely to occupy a more valuable position in the future intelligent vehicle industry chain.

Key Questions Addressed in this Report

What is the 10-year outlook for the global Automotive AVM (Around View Monitoring) market?

What factors are driving Automotive AVM (Around View Monitoring) market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Automotive AVM (Around View Monitoring) market opportunities vary by end market size?

How does Automotive AVM (Around View Monitoring) break out by Type, by Application?

This report presents a comprehensive overview of the global Automotive AVM (Around View Monitoring) market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• 4 Cameras
• 6 Cameras
• Others

Segment by Chassis

• Transparent Chassis
• Non-transparent Chassis

Segment by Market

• OEM Market
• Aftermarket

Segment by Application

• Passenger Car
• Commercial Vehicles

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Automotive AVM (Around View Monitoring) 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 Passenger Car, Commercial Vehicles 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