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Automotive Night Vision Systems (ANVS)
»óǰÄÚµå : 1513859
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2024³â 07¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 188 Pages
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Global Automotive Night Vision Systems (ANVS) Market to Reach US$8.8 Billion by 2030

The global market for Automotive Night Vision Systems (ANVS) estimated at US$3.1 Billion in the year 2023, is expected to reach US$8.8 Billion by 2030, growing at a CAGR of 16.0% over the analysis period 2023-2030. Passive ANVS, one of the segments analyzed in the report, is expected to record a 10.4% CAGR and reach US$3.9 Billion by the end of the analysis period. Growth in the Active ANVS segment is estimated at 22.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$824.7 Million While China is Forecast to Grow at 15.0% CAGR

The Automotive Night Vision Systems (ANVS) market in the U.S. is estimated at US$824.7 Million in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$1.3 Billion by the year 2030 trailing a CAGR of 15.0% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 13.7% and 14.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.6% CAGR.

Automotive Night Vision Systems (ANVS) - Key Trends and Drivers Summarized

Automotive night vision systems (ANVS) have evolved significantly to enhance driver awareness in low-light conditions, thereby making roads safer by detecting otherwise invisible hazards. These systems use thermographic cameras, infrared lights, and heads-up displays to extend a driver's visibility beyond the reach of standard headlights. By identifying potential hazards such as pedestrians, animals, and other vehicles, night vision systems aim to prevent accidents and improve overall road safety. Statistics reveal that nearly 50% of accidents occur at night despite lower traffic volumes, highlighting the potential impact of night vision systems on improving nighttime driving safety. Passive night vision systems utilize thermographic cameras to detect thermal radiation emitted by objects, excelling in identifying living beings and vehicles. However, they struggle with inanimate objects in warm weather. Active night vision systems, on the other hand, use infrared light sources to illuminate darkness and reveal objects far beyond the reach of standard headlights, although their performance can be hindered by adverse weather conditions like snow and hail.

The display of night vision data to drivers has also advanced over time. Initially, heads-up displays (HUDs) projected information onto the windshield directly in the driver's line of sight, but modern implementations often use LCD screens mounted on the dashboard, providing clear visual data without distracting the driver. Dash cams equipped with night vision capabilities have become essential for ensuring driving safety and security, especially in low-light conditions. These cams dramatically improve visibility by capturing more details in dimly lit environments, proving crucial for recording clear footage at night or in poorly lit areas, which is often when accidents and other incidents occur. This feature enhances legal and insurance processes by providing clear evidence and acts as a deterrent to potential thieves and vandals. Furthermore, advanced night vision features in some dash cams, such as Super Night Vision, utilize a combination of sensors, lenses, and software algorithms to enhance image brightness, contrast, and clarity, capturing detailed footage even in pitch-black environments.

The growth of automotive night vision systems is driven by several key factors. Enhanced sensor technology continuously improves infrared and thermal imaging sensors, increasing the effectiveness of night vision systems. Integration with advanced driver assistance systems (ADAS) like automatic emergency braking and lane departure warning enhances overall vehicle safety. The use of artificial intelligence (AI) and machine learning enhances object detection and classification, making night vision systems more reliable and efficient. The incorporation of ANVS in luxury and high-end vehicles sets a precedent for safety and innovation, driving interest and adoption in other vehicle segments. Additionally, ANVS are becoming popular in commercial and fleet vehicles for improving driver safety during nighttime operations, reducing accident rates and associated costs. The adoption of ANVS in military and special-purpose vehicles underscores their importance in mission-critical operations, influencing broader market adoption. Increased consumer demand for safety features, growing awareness of nighttime driving risks, and a preference for technological innovation are further propelling the adoption of ANVS. Stricter government safety regulations, incentives for advanced safety technologies, and support for autonomous vehicle development also promote the inclusion of ANVS in new vehicle models. The decreasing costs of technology, collaborations between automakers and technology companies, continuous R&D investment, and development of multi-functional systems enhance the value proposition of ANVS, ensuring their continuous growth and adoption in the automotive industry.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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