Global AI in computer vision market size is expected to reach $207.09 billion by 2030 from $9.18 billion in 2020, growing at a CAGR of 39.60% from 2021 to 2030.
The research provides detailed information on new market dynamics, market drivers, development opportunities, and restraints that may affect the industry. It offers a thorough overview of the market segments, including information on goods, applications, and competitors. With strategic analysis, micro and macro market trend and scenario, pricing analysis, and a comprehensive description of the market circumstances in the forecast period, the AI in Computer Vision Market research study keeps a close eye on the major competitors. It is an expertly written, in-depth study that emphasises key and secondary drivers, market share, top categories, and regional analysis. The paper also examines prominent actors, significant partnerships, mergers, and acquisitions, as well as popular innovations and business practises.
Emotion AI uses computer vision technology to assess facial features and eye movements in images and videos in order to interpret people’s emotional states. Affective computing, often known as emotion AI, is a rapidly expanding topic of artificial intelligence that enables machines to interpret and analyse nonverbal cues from people including their body language, gestures, and voice tones in order to determine how they are feeling. Emotient, the world’s foremost expert in automated facial expression analysis and recognition, which Apple recently acquired, was granted a patent in May for a technique for gathering and classifying up to 100,000 facial images daily to help computers recognise various facial expressions.
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Segmentation:
By Type:
• Hardware
• Software.
By Application:
• Object Detection
• Image Classification
• Image Segmentation
• Image Restoration
• Object Tracking
• Facial Recognition
By Industry:
• Healthcare
• Automotive
• Retail
• Agriculture
• Manufacturing
• Media and Entertainment
• Others
Competitive Landscape:
• NVIDIA Corporation
• Intel Corporation
• Google LLC
• Microsoft Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• Qualcomm Technologies, Inc.
• Baidu, Inc.
• Apple Inc.
• Facebook, Inc.
• Cognex Corporation
• FLIR Systems, Inc.
• Honeywell International Inc.
• Teledyne Technologies Inc.
• Basler AG
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The goal of the branch of study known as computer vision is to make it possible for machines to comprehend and interpret visual data. In recent years, artificial intelligence (AI) has significantly improved computer vision capabilities, enabling machines to carry out a variety of previously impractical visual recognition tasks. The rise and use of AI in computer vision are being fueled by a number of key aspects. The development of machine learning methods like deep learning and neural networks, which have made it possible for computers to learn from vast quantities of data and enhance their capacity to recognise and classify images effectively in the area of AI in computer vision, is one of the key drivers.
As there is now a great number of photos and video data available for training models in the field of AI in computer vision, the availability of big data has been crucial in the development of more precise and complex computer vision systems. As a result, the field of AI in computer vision has developed more precise and advanced computer vision systems. The use of computer vision solutions to carry out activities like quality control, inspection, and surveillance in the field of AI in computer vision is also driven by the rising demand for automation across industries. In the subject of AI in computer vision, AI-based computer vision systems can carry out these tasks more quickly and precisely than humans.
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• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
