Global AI in Computer Vision report from Global Insight Services is the single authoritative source of intelligence on AI in Computer Vision market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
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MARKET SEGMENTS
The AI in the computer vision market is segmented by function, application, end-use, and region. By function, the market is divided into inference and training. Based on application, it is bifurcated into industrial, and non-industrial. Based on end-use, the market is classified into automotive, consumer electronics, healthcare, retail, security and surveillance, agriculture, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and the Rest of the World.
KEY PLAYERS
The global AI in the computer vision market includes players such as Nvidia, Intel Corporation, IBM Corporation, Microsoft Corporation, Google, Facebook, Amazon Web Services, Athena Security, Creative Virtual, Oculus, and others.
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KEY TRENDS
Some of the key trends in AI in Computer Vision technology include object detection and recognition, image classification, and video analysis. Object detection and recognition involve the ability to identify and locate objects in an image or video.
This can be done using a variety of methods such as template matching, edge detection, or deep learning. Image classification is the process of assigning a label or class to an image.
KEY DRIVERS
The key drivers of AI in the Computer Vision market are as follows:
- Increased demand for computer vision in various industry verticals: Computer vision is being increasingly used in various industry verticals such as automotive, retail, healthcare, and manufacturing for applications such as object detection, facial recognition, and image classification.
- Technological advancements in computer vision: There have been various technological advancements in computer vision in recent years, which have resulted in improved accuracy and performance of computer vision systems.
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