Global Automotive Night Vision Market - 2020-2027
|出版日期||內容資訊||英文 180 Pages
|汽車用夜視鏡的全球市場 (2020年∼2027年) Global Automotive Night Vision Market - 2020-2027|
|出版日期: 2021年04月29日||內容資訊: 英文 180 Pages||
Automotive night vision is a sensor/system that helps us stay aware of persons, vehicles, or animals that are out of reach of our headlights. Many of the newer automotive infrared systems are advanced to the point that their algorithms determine whether a hot spot ahead is living or moving to alert you of any possible danger. Moreover, night vision systems can detect objects from more than 500 feet away, but traditional headlights typically only lighten objects about 180 feet away. In addition, the stopping distance of a car can be longer than 180 feet, and a night vision system's feature can help an alert driver avoid collisions.
The global automotive night vision market is estimated to reach USD XX billion by 2027 from the recorded market size of worth USD XX billion in 2019, growing at a CAGR of XX% during the forecast period (2020-2027).
According to the European Commission (EC) for the automobile industry, nearly 50% of all accidents occur at night, and the study showed about 60% less traffic at night, which clears that a disproportionate number of accidents occur between dawn and dusk. However, other technologies that increase nighttime visibility have been shown to reduce accidents. Since technologies like adaptive headlights have helped reduce nighttime accidents, it's possible that broader adoption of night vision could have similar effects. Moreover, the growing demand for connected cars is expected to increase the automotive night vision system's market size. In addition, it is expected that there are over one billion motor vehicles in use globally. In 2019, global sales of connected cars with embedded telematics were estimated to have hit 28.48 million units.
Furthermore, the rise in demand for advanced safety systems such as ADAS in vehicles is expected to drive the night vision system market during the forecast period. An increase in vehicles' production and the rise in demand for vehicle safety with improved night vision to assist the driver's visibility are also expected to drive the night vision system market during the forecast period. Moreover, the night vision system substantially reduces the vehicle's improper vision complexity, increases safety, and reduces vehicles' collision at night, which is the essential factor in boosting the market growth. In addition, due to the adaptive front lighting system, an increase in visibility range has prompted manufacturers to focus on coupling the two systems, thereby making the vehicle safety system more efficient. This is projected to provide lucrative opportunities to the night vision system market during the forecast period.
However, it is working well for deciphering between animals and people, but it does not do much revealing a dead animal in the middle of the road or perhaps a large rock or a fallen tree. Moreover, its performance is reduced in dense or fog conditions. In addition, its initial cost is approximately USD 1500 - USD 2000, which makes it costlier.
By type, the market is segmented into passive night vision and active night vision. By component type, the market is segmented into the dual camera, amplifier, on bord display, caution ICU, intelligent night vision system and motion detection sensor. By sensor type, the market is segmented into vehicle speed sensors, daylight sensors, night vision sensors and vehicular output sensors.
Passive systems use thermal cameras that lighten the heat radiating off objects, people and animals. Active systems use infrared light sources to lighten the darkness. Both passive and active night vision systems rely on the infrared light spectrum that is invisible to the naked eye. Moreover, passive night vision relies on thermographic cameras to detect thermal radiation. Since thermographic cameras can see heat, it is easy for them to pick out the difference between a warm object like a person and a cooler object like a road.
Due to the dependence on heat emissions, passive systems tend to work very well with animals, people and other vehicles since they emit much thermal radiation. Moreover, the range of passive night vision tends to be higher than active night vision. This is due to the limited power of the light sources utilized by active systems. However, the thermographic cameras' image quality tends to be lacking compared to active systems. In addition, the passive systems have trouble picking up dead objects that are approximately the same temperature as the surrounding environment and don't work as well in warm weather since an increase in the ambient temperature.
Furthermore, active systems are more complex than passive systems because they use infrared light sources. Since the infrared band falls outside the visible spectrum, these light sources don't cause oncoming drivers to suffer from temporary night blindness like high beam headlights often do. This allows the infrared lights to illuminate objects that are much farther away than headlights can reach. Since infrared light isn't visible to the human eye, active night vision systems use unique cameras to relay additional visual data. Some systems use pulsed infrared lights, and others use a constant light source. These systems don't work very well in adverse weather conditions, like heavy hail or snow, partially blocking the infrared light source. However, active systems can provide high-contrast images of animals, vehicles and even inanimate objects.
North American dominates the automotive night vision system market due to adopting new technologies in automotive such as connected cars, IoT, and autonomous vehicles. Moreover, machine or computer vision technologies have boosted developments in object detection. In addition, by 2035, it is expected that more than 330 million units in the U.S will be connected to the internet, either in multiple ways or by embedded or via smartphone integration. At approximately 97%, the U.S. is anticipated to have the highest penetration rate of connected vehicles in 2035. The autonomous vehicle trends will also be an important area of application in the automotive night vision system market and require sophisticated night-vision systems to ensure a safe road drive.
The Asia Pacific is expected to hold the major market share for the automotive night vision system. China was valued at over USD 298 million in 2018 due to major manufacturers in the automotive sector and one of the largest markets globally. The presence of many production facilities, particularly in China, and growth in the demand for luxury cars contribute to industry growth. In addition, the country in this region has been witnessing a growing demand for luxury cars. The demand for luxury vehicles, safety features and large production is expected to drive the region's growth.
The automotive night vision market is fragmented with the presence of regional and global players. The competitive contour lies with the increase in the regional company and growing investment in upstream application. Autoliv Inc., Delphi Automotive System Inc., Denso Corporation, Robert Bosch GmbH, FLIR Systems, Magna International Inc., Valeo, HELLA KGaA Hueck & Co., Bendix Commercial Vehicles Systems, Daimler AG are the major player in the automotive market. The major players adopt several growth strategies such as product launches, acquisitions, and collaborations, contributing to the global automotive night vision market.
Autoliv is the world's fastest-growing company in night vision systems. Moreover, Autoliv's night vision system uses an infrared camera mounted in the head grille of the vehicle that senses temperature variations as sensitive as a tenth of a degree to create a highly accurate thermal image of the world in front of the vehicle. In addition, night vision helps drivers see objects three to four times distant away than vehicle headlights and improves visibility in smoke, fog and the glare of on-coming headlights. Custom algorithms identify animals and pedestrians in the path of the vehicle at night.