Wednesday 18 November 2020

Global AI in Computer Vision Market 2020, Research Analysis, Industry Share, Key Company Profiles, Type, Applications, Size, Trends and Forecast To 2023

 The AI in computer vision market was valued at USD 2.37 billion in 2017 and is expected to reach USD 25.32 billion by 2023, at a CAGR of 47.54% during the forecast period. In this report, 2017 has been considered as the base year, and the forecast period is from 2018 to 2023. The objective of the report is to define, describe, and forecast the AI in computer vision market, in terms of value, on the basis of vertical, component, and geography. The major factors that are expected to be driving the AI in Computer Vison Market include growing demand for edge computing in mobile devices, increasing demand for computer vision systems in non–traditional and emerging applications and growing impact of AI in machine vision.

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The increasing demand for computer vision systems in non-traditional and emerging applications and growing demand for edge computing in mobile devices are among the factors driving the growth of the market. With the increasing labor cost in the security market and use of robotics in the healthcare industry, AI-based computer vision systems are being used for many applications. The market for AI-enabled computer vision has an increasing demand in various emerging applications such as unmanned aerial vehicles, augmented reality, missile guidance, autonomous vehicles, and others.

Hardware expected to grow at a high rate during the forecast period

The key factor driving the growth of hardware in the AI based computer vision market is the growing penetration of AI-capable processors in mobile devices, such as smartphones, drones, automotive, and consumer electronics devices.

Consumer vertical expected to hold the largest share during the forecast period

Key factors contributing to the growth of the AI in computer vision market in the consumer vertical is the addition of AI capabilities to smartphones, which will help change mainly 2 aspects: user–machine interaction and context-personalized openness. User machine interaction will improve the efficiencies between the user and their phone across text, voice, image, video, and sensors, whereas the latter will actively provide services and aggregated information across apps, content, third-party features, and native features.

AI in computer vision market in North America expected to hold the largest share in 2017

North America is expected to hold the largest market share in 2017. Startups in the US are receiving funds from various organizations to imply the AI technology in autonomous drones and other flying vehicles. The major focus is to overcome challenges faced by industrial drones in terms of reliability, safety, and autonomy. Thus, companies have come up with solutions that combine computer vision and deep learning algorithms and identify potential hazards, and speed and distance. The market for AI in computer vision in APAC is expected to grow at the highest CAGR during the forecast period and surpass North America by 2023.

Major players operating in the AI in computer vision market include NVIDIA (US), Intel (US), Qualcomm (US), Apple (US), Alphabet (US), Microsoft (US), Facebook (US), Wikitude (Austria), Xilinx (California), Basler (Germany), Teledyne Technologies (US), Cognex (US), General Electric (US), and Avigilon (Canada).

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