The Computer Vision AI Camera Market is being driven by Proliferation of smart city initiatives and public safety mandates
The Computer Vision AI Camera Market is expected to grow at a CAGR of 26.8% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 5326.5 million. The computer vision AI camera market is experiencing a significant shift from cloud-based processing to edge-based or on-device artificial intelligence. This transition represents a fundamental restructuring of data processing architecture, driven by the need for reduced latency, increased data privacy, decreased bandwidth consumption, and increased operational autonomy. Edge AI involves performing intricate deep learning computations directly on the camera or a nearby edge server, rather than sending massive volumes of raw video data to a distant cloud for analysis. North America, with its robust semiconductor industry and substantial investments in autonomous systems and smart retail, is leading the way in the development and implementation of advanced edge AI chipsets. This trend towards edge computing is transforming the computer vision AI camera market, offering substantial benefits.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
251 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 26.8% |
Market growth 2025-2029 |
USD 5326.5 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
25.8 |
Key countries |
US, China, India, Germany, Japan, Canada, UK, France, South Korea, and Australia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The Computer Vision AI Camera Market encompasses various applications such as visual object tracking, scene understanding, semantic segmentation, instance segmentation, panoptic segmentation, object classification, image retrieval, and pattern recognition. Additionally, it includes image enhancement, noise reduction, and image restoration for improved image quality. Furthermore, it supports advanced features like image compression, video stabilization, motion detection, activity recognition, event detection, anomaly detection, human-computer interaction, augmented reality, virtual reality, robotics vision, medical imaging, industrial automation, traffic monitoring, security systems, and autonomous vehicles.
The Computer Vision AI Camera Market is a significant segment of the global Technology Hardware, Storage, and Peripherals Market, encompassing object detection algorithms, image recognition software, and deep learning models within the broader IT industry. According to Technavio, this market is driven by the increasing volume, velocity, veracity, and variety (4Vs) of data, primarily fueling the demand for advanced data storage solutions. As part of the global Technology Hardware, Storage, and Peripherals Market, this sector includes manufacturers of cellular phones, personal computers, servers, electronic computer components, and peripherals, as well as data storage components, motherboards, audio and video cards, monitors, keyboards, printers, and other peripherals. Technavio's market analysis calculates the market size based on the revenue generated from the sales of these hardware devices, equipment, and components. The growth of the global Technology Hardware, Storage, and Peripherals Market is expected to be influenced by factors such as the escalating need for data storage solutions due to the expanding data ecosystem.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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