Market Trends of Automotive Night Vision System Industry
This section covers the major market trends shaping the Automotive Night Vision System Market according to our research experts:
Far Infrared Segment Expected to Grow Significantly During the Forecast Period
Night vision sensor systems are becoming more common in vehicles. Different methods using infrared sensors are suggested in the literature to detect cars in far-infrared (FIR) images. However, these systems still have low vehicle detection rates, and their performances may be enhanced. Images from cameras with infrared are expected to improve the driver's perception under low-light conditions. The main drawback of this system is that it cannot display the images at the right time to avoid distracting the driver from road traffic.
Currently, many road accidents occur during times of low visibility, such as at night. However, most existing automobile algorithms and detection systems are focused on daylight vehicle detection with visible spectrum cameras. Studies are going on regarding night-time vehicle and vehicle lamp detection. Still, these detections are generally affected by different factors, like rain, low illumination, and camera exposure time.
- In May 2021, FLIR Systems announced the availability of its first European thermal imaging regional dataset and the third in a series of thermal imaging datasets for machine vision testing. Designed to help researchers, developers, and auto manufacturers enhance and accelerate work on safety, advanced driver assistance systems (ADAS), automatic emergency braking (AEB), an autonomous vehicle (AV) systems, the dataset features thousands of annotated thermal images of daytime, night-time and various weather scenarios from six cities across Europe.
- In April 2021, South Korea's Hanwha Systems Co., Ltd. announced that it would participate in a consortium for developing night vision cameras for autonomous driving vehicles. The consortium is led by erae AMS Co., Ltd., a South Korean electrical component supplier. It aims to develop 3D fusion cameras by 2025 by combining daylight and thermal imaging.
Asia-Pacific Region Anticipated to Grow at Significant Level During the Forecast Period
Asia-Pacific dominated the market and is expected to witness the same trend in the coming years, followed by Europe and North America. China is the leader in the automotive industry in every aspect, whether it is the sales or production of vehicles. The country's growing demand for luxury vehicles contributes significantly to the night vision system market.
- The Chinese market for electric vehicles is swiftly growing, and China holds more than half of the electric vehicle market share globally. In 2021, around 2.9 million battery electric vehicles will be sold in China, an increase of 162 percent compared to 2020. In the same year(2021), about 603,000 plug-in hybrid cars were sold in China, an increase of 140 percent compared to the previous year (2020).
The demand for more ADAS functions in electric cars, such as night vision systems, is also growing with the electric car market. Several key players operating in the market are designing strategies in this regard. The market is also witnessing the launch of the latest models with advanced night vision systems. For instance,
- In April 2021, South Korea's Hanwha Systems Co., Ltd. (Hanwha Systems) announced that it would participate in a consortium for developing night vision cameras for autonomous driving vehicles. The consortium is led by erea AMS Co. Ltd, a South Korean electrical component supplier. It aims to create 3D fusion cameras by 2025 by combining daylight and thermal imaging. Hanwha Systems plans to apply its intelligent thermal imaging engine module technology, Quantum Red, released in 2020, to develop XGA-class (1024 x 768 pixels) night vision system.
- In December 2020, the VOYAH brand of Dongfeng Motor Corporation (Dongfeng Motor) revealed VOYAH FREE, a mid to large-sized intelligent electric SUV, in Shenzhen. The active night vision system used in the vehicle supports 150-meter distant vision and AI recognition warning.
