The global automotive image sensors market is anticipated to grow at a CAGR of 11.3% during the forecast period (2023-2030). With the growing demand for smart features in automobiles, companies are focusing on various R&D activities and portfolio expansion to stay competitive. For instance,
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• In September 2023, Sony Semiconductor Solutions Corp. (SSS) released an automotive image sensor, the IMX735, which has a pixel count of 17.4 effective megapixels. This enables high-definition capture of distant objects, which is essential for automated driving systems to accurately perceive the surrounding environment. The IMX735 also has horizontal signal output, which simplifies synchronization with mechanical scanning LiDAR. Additionally, the IMX735 has a wide dynamic range of 106 dB, which is further increased to 130 dB in dynamic range priority mode. This helps suppress highlight blowouts even in backlit conditions, which helps in more precise object capture in road environments with significant differences in brightness.
• In September 2023, OmniVision, a semiconductor company, released the OX08D10 8-megapixel CMOS image sensor with TheiaCel technology at AutoSens Brussels. According to the company, the new sensor focuses on automotive safety by providing improved resolution and image quality in exterior cameras for advanced driver assistance systems (ADAS) and autonomous driving (AD). The OX08D10 sensor combines multiple features including low-light performance, LED flicker mitigation (LFM), small size, and low power consumption. This eliminates the need for automotive OEMs to make performance or design compromises to address LED flicker.
• In October 2023, Volkswagen developed an algorithm for automotive image recognition that is inspired by quantum computing principles and outperforms classical machine learning neural networks. The algorithm was tested on a car image classification task using a full-scale implementation of a hybrid quantum ResNet model with tensor-trained hyperparameters. The results showed an advantage over the corresponding classical tabular grid search approach used with a deep neural network ResNet34. The hybrid model achieved a classification accuracy of 0.97 after 18 iterations, while the classical model achieved an accuracy of 0.92 after 75 iterations.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Application
o By Type
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- The major companies in the global Automotive Image Sensors market include Canon Inc., DENSO Corp., and Continental AG, among others.
Key questions addressed by the report.
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Automotive Image Sensors Market Report Segment
By Application
By Type
Global Automotive Image Sensors Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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