AI Integration in Computer Vision Market to Grow at a CAGR of 45.3% by 2028


Posted April 4, 2023 by avinashgogawale14

The AI in Computer Vision Market is anticipated to reach a value of USD 17.2 billion in 2023 and USD 45.7 billion by 2028, with a CAGR of 21.5%.

 
By 2026, the demand for computer vision systems in developing applications, quality inspection and automation needs, and government measures to assist industrial automation and AI integration will all contribute to the considerable growth of the global AI in Computer Vision Market. Components, machine learning models, functions, applications, and end-use industries are used to segment the market. However, over the forecast period, security issues with cloud-based image processing and analytics could provide a significant barrier to the industry. Security and surveillance as well as consumer electronics are two end-use sectors anticipated to fuel market expansion.

NVIDIA Corporation (US), Intel Corporation (US), Microsoft (US), IBM Corporation (US), Qualcomm Technologies Inc. (US), Advanced Micro Devices, Inc (US), Alphabet, Inc. (US), Amazon (US), Basler AG (Germany), Hailo (US), and Groq, Inc. (US). The other company profiles included in the scope are Sighthound, Inc. (US), Neurala, Inc. (US), Datagen (Israel), Graphcore (UK), Groopic (US), Ultraleap (US), Algolux (US), Athena Security (US), Snorkel AI (US), Vizseek (US), Robotic Vision Technologies (US), AMP Robotics (US), CureMetrix (US), and Creative Virtual (UK) are among the many players in the AI in computer vision market.

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Computer vision is one of the fields where artificial intelligence (AI) is making considerable progress and changing several sectors. Using algorithms and deep learning models, computer vision entails the interpretation and analysis of visual data from photos and videos. Computer vision is getting increasingly complex and precise with the aid of AI, and it is used in a variety of fields, including security, healthcare, automotive, and retail. The increasing need for AI-powered solutions in a variety of applications, including autonomous vehicles, facial recognition, and medical picture analysis, is driving the expansion of the computer vision market. Computer vision is becoming more accurate and effective as a result of the addition of AI, and this advancement is a major force for innovation in a variety of fields.

One of the key elements propelling the development of AI in computer vision is the growing use of deep learning techniques. Comparing deep learning models to conventional computer vision algorithms, significant increases in accuracy and performance have been seen. Deep learning enables computer vision systems to learn from massive volumes of data, improving both the accuracy and speed of object detection and recognition. This has opened up new opportunities for AI-powered computer vision solutions, including sophisticated facial recognition technology and self-driving cars. The application of computer vision technology in different industries has increased as a result of the integration of deep learning in computer vision, which has unlocked a new level of precision and efficiency.

The growth of AI in computer vision is being driven by the expansion of data availability. The amount of data accessible for training AI-powered computer vision systems has significantly increased as a result of the widespread use of smartphones and other visual data-capture devices. This makes it simpler for companies to create and use AI-powered computer vision solutions, together with improvements in cloud computing and big data analytics. Companies are able to create more complex and accurate computer vision models that can recognise and interpret visual input more quickly and accurately thanks to the increasing availability of data. There are more opportunities than ever for businesses to develop and implement AI-powered computer vision solutions in a variety of sectors, including healthcare, automotive, and security. This is thanks to improvements in cloud computing and big data analytics as well as the growing availability of data.

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The expansion of AI in computer vision is being driven by the rising demand for automation across a number of industries. Automation of traditionally manual operations, such quality control in manufacturing and security surveillance, can be aided by AI-powered computer vision technologies. Organizations may see improved efficiency, accuracy, and cost savings as a result of this. Organizations may expedite their processes, lower human error, and boost overall productivity by integrating AI with computer vision. AI-powered computer vision solutions are being used more and more in a variety of sectors, including manufacturing, retail, and healthcare. The market is expanding as a result of the rising need for automation and the possible cost savings brought on by the use of AI-powered computer vision solutions.

Increasing use of AI computer vision in autonomous systems

New and creative applications are emerging as a result of the expanding usage of AI computer vision in autonomous systems, such as self-driving cars, drones, and robots. These systems can observe and comprehend their environs because to AI computer vision technology, which enables them to decide what to do and how to do it. The creation of self-driving cars depends heavily on AI computer vision. In-car cameras and sensors provide data that AI systems can process to recognise items such as people, other cars, road signs, and traffic signals in real-time. This eliminates the need for human intervention while driving and enables the car to make decisions about how to respond to its surroundings. The incorporation of AI computer vision in autonomous systems is creating new opportunities for automation and innovation across a range of sectors, including manufacturing, agriculture, and transportation. The market is expanding because to the growing application of AI computer vision in autonomous systems, which is anticipated to have a substantial impact on the direction of automation and robotics in the future.

AI in the computer vision market in North America to hold the highest market share during the forecast period

The market for artificial intelligence (AI) in the area of computer vision is anticipated to be dominated by North America, according to a forecast period research. Entrepreneurs in the United States are receiving financing from a number of organisations to conduct research on AI technology, particularly for autonomous drones and other aerial vehicles, with the goal of resolving issues with industrial drones' dependability, safety, and autonomy. The development of this field is also being actively aided by computer vision programmes in US universities and research facilities. These programmes are resulting in the creation of solutions that combine computer vision and deep learning algorithms to detect potential dangers and extend the life of industrial drones.

News Covered:

https://www.globenewswire.com/en/news-release/2023/02/24/2615196/0/en/AI-and-Computer-Vision-A-Powerful-Combination-for-Growth-in-the-Coming-Years.html

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Last Updated April 4, 2023