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How the Pandemic is impacting the AI In Computer Vision Market 2021 – Global Industry Analysis with Forecast To 2027
AI In Computer Vision Market Size By Type( Hardware, Software), By Application (Healthcare, Automotive, Agriculture, Others) Forecast 2020-2025
AI In Computer Vision Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2020-2025. Increasing adoption of artificial intelligence in various business verticals, growing demand for mobile edge computing and rising usage of electronic devices are contributing to the growth of the AI in the computer vision market
AI In Computer Vision Market is valued at USD 4.90 Billion in 2018 and expected to reach USD 70.80 Billion by 2025 with a CAGR of 45.46% over the forecast period.
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AI In Computer Vision Companies:
AI In Computer Vision market report covers prominent players are,
Qualcomm Technologies, Inc.
Allied Vision Technologies GmbH
Computer vision is a branch of automation and computer science that allows the perception of machine vision and develops methods for creating systems that gel information from images. It is an interdisciplinary technical field that deals with how computers can increase high-level understanding from digital images or video. Computer vision is a field of artificial intelligence that sequences computers to interpret and understand the visual world. Machines can exactly recognize and locate objects then react to what they “see” using digital images from cameras, videos, and deep learning models. Computer vision is used in controlling processes of industrial robots, in navigations for autonomous vehicles, detecting events, organization information, medical image analysis, automatic inspection in manufacturing processes and Human-computer interactions. Computer vision is closely linked with artificial intelligence, as it provides human vision to a computer. However, a major part of artificial intelligence deals with systems or machines that can perform mechanical work and actions.
AI In Computer Vision Market Segmentation –
By Type: Hardware, Software
By Application: Healthcare, Automotive, Agriculture, Others
Regional & Country Analysis:
North America, U.S., Mexico, Canada , Europe, UK, France, Germany, Italy , Asia Pacific, China, Japan, India, Southeast Asia, South America, Brazil, Argentina, Columbia, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa
AI In Computer Vision Market Regional Analysis –
North America is dominating the AI In Computer Vision market with the potential rate due to owing to the adoption of machine vision across various industries vertical majorly the manufacturing and automotive. According to the International Trade Administration (ITA), The United States has one of the largest automotive markets in the world. In 2018, U.S. light vehicle sales reached 17.2 million units, the fourth straight year in which sales reached or surpassed 17 million units. Generally, the United States is the world’s second-largest market for vehicle sales and production. Additionally, the automotive industry is also at the forefront of innovation. New R&D initiatives are transforming the industry to better respond to the opportunities of the 21st century. According to Auto Alliance, of the $105 billion spent on R&D globally, almost a fifth ($18 billion) is spent in the United States.
The Asia pacific is expected to emerge as the fastest-growing regional market over the forecast period due to the rising demand for advancement in medical care services in the Asia Pacific market is rapidly increasing the use and adoption of computer vision for accurate and quick medical reports, radiology and, or measuring the blood lost during surgeries, majorly during C-section procedures. According to Healthcare Predictions In Asia-Pacific report, Demand for healthcare in the Asia-Pacific region is growing rapidly. This is especially true given its rising aging population (the number of elderly people in Asia by 2030 will increase by 200 million, or 71 percent) and as governments continue to roll out ambitious universal health coverage schemes. However, Governments and healthcare organizations need constant acceleration in the pace of Asia’s healthcare transformation to address the “silver tsunami” and wide socioeconomic inequality.
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