Global Computer Vision in Healthcare Market is Valued at USD 458.8 Million in 2020 and Expected to Reach USD 6428.9 Million by 2027 With the CAGR Of 45.81% Over the Forecast Period.
Global Computer Vision in Healthcare Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2021-2027. rising demand for computer vision systems in the healthcare industry, supportive government initiatives to increase the adoption of AI-based technologies and rising advancement in technologies are expected to drive the growth of the Global Computer Vision in Healthcare Market.
Computer vision is today helping an expanding number of specialists to all the more likely analyze their patients, monitor the development of infections, and prescribe the right medicines. The technology not just assists clinical professionals with saving time on routine undertakings and gives more time to the patients. The computer vision utilizes algorithms for processing images with the aim of making faster and more accurate diagnoses more than a physician. Computer vision technique has been utilized in different surgery and therapy of some diseases. Nowadays, three-dimensional (3D) modeling and rapid prototyping technologies have focused on the development of medical imaging modalities, which include CT and MRI. Moreover, the computer system in healthcare helps to transfer the tedious tasks and the time consumed for the same to machines which enables the physician to focus on better patient care.
It also helps in cost-cutting. Machine learning, artificial neural network and deep learning are being utilized that will bring about expanding the capacities of computer vision in duplicating human vision, it will likewise make it conceivable to address such complexity in creating AI frameworks for recognizing visual information. Also, with appearances in deep learning techniques, this technology has got more versatile at the acknowledgment of pattern than that of the human visual cognitive system.
The COVID-19 pandemic has additionally opened numerous opportunities for computer vision systems to battle the current epidemic as several big and small techs new businesses are working for control, mitigation, and prevention of the infection. Support of government authorities and number of organization to develop a computer based technologies drive the market growth over the forecast period. During COVID-19 pandemic, research and development activities also rapidly increased.
Global computer vision in healthcare market is segmented on the basis of product & service, application, end-user and region & country level. On the basis of product & service, the computer vision in healthcare market is classified in hardware, software and services. On the basis of application, the market is classified as medical imaging & diagnostics, surgeries, and others. On the basis of end user, the computer vision in healthcare market is classified as healthcare providers, diagnostic centers, and others.
Some major key players for global computer vision in healthcare market report cover prominent players like NVIDIA Corporation, Microsoft, Intel Corporation, Xilinx Inc., IBM, Google, Basler AG, Arterys, AiCure, and iCAD Inc. and other.
By Product & Service:
By Application:
By End-User:
The regions covered in this global computer vision in healthcare market report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level, the market of computer vision in healthcare is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, Middle East Asia (UAE, Saudi Arabia, Egypt) GCC, Africa, etc.
On March 10th, 2021; Kepler Vision Technologies has announced the launch of its Kepler Night Nurse Edge Box (KNN). The new device utilizes deep learning and computer vision technology to investigate live video transfers and recognize if customers need care. The technology aims to update staff accordingly and increment the security of patients around night time, while additionally saving staff time and permitting care works to focus on giving better quality care. KNN can detect both falls and when patients are in physical distress, consequently alerting staff when they need help. The product replaces current sensor system like bed mats, movement sensors and other sensor devices, including pieces of jewelry and bracelets and permits staff to promptly react to patients and dispose of false alarms.
Rising Demand for Computer Vision Systems in the Healthcare Industry, Supportive Government Initiatives to Increase the Adoption of AI-Based Technologies and Rising Advancement in Technologies Drive the Market Growth
One of the major factors driving the growth of global computer vision in healthcare market is due to rising demand for computer vision systems in the healthcare industry. For instance; According to the World Economic Forum, 85 million jobs will be replaced by machines with AI by the year 2025. In addition, the growth of global computer vision in healthcare market is due to supportive government initiatives to increase the adoption of AI-based technologies. For instance; Alibaba's research institute Damo Academy, has developed a algorithm that helps in the diagnosis and detection of new Covid cases with the help of a chest Computed Tomography (CT) examine. The AI model that is utilized in the framework is trained with some example information of around 5,000 positive Covid cases.
Furthermore, growing advancement in technologies is also supplementing the growth of global computer vision in healthcare market. For instance; in July 2019, Keyence Corporation of America launched the world's first 4K super high precision microscope, the VHX-7000. This has been set apart as the 5th era of the digital microscope product offering. This flexible system joins the capacities of various microscopes: stereoscope, measuring, metallurgical and entry-level SEM. The system shows pictures in 4K Ultra HD, giving the most exact pictures. It likewise has in-demand like high NA lenses up to 0.9 and automated inspection.
However, unwillingness of medical practitioners to adopt AI-based technologies and lack of awareness & technical knowledge may hinder the growth of global computer vision in healthcare market. In spite of that, growing awareness associated totechnological advancements and its adoption in the healthcare industry can offer more opportunities for the further growth of the global computer vision in healthcare market.
Report Analysis | Details |
---|---|
Historical data | 2015 - 2020 |
Forecast Period | 2021 - 2027 |
Market Size in 2020: | USD 458.8 Million |
Base year considered | 2020 |
Forecast Period CAGR %: | 45.81% |
Market Size Expected in 2027: | USD 6428.9 Million |
Tables, Charts & Figures: | 175 |
Pages | 200 |
Key Players/Companies | NVIDIA Corporation, Microsoft, Intel Corporation, Xilinx Inc., IBM, Google, Basler AG, Arterys, AiCure, and iCAD Inc. and other. |
Segments Covered | By Product & Service, By Application, By End-User |
Regional 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 the Middle East and Africa |
North America is expected to dominate the growth global computer vision in healthcare market due to the growing government initiatives for the adoption of AI-based solutions in healthcare, technological advancements and collaboration of different organization to develop technology in healthcare sector in this region. For example; In 2018, NVIDIA partnered with King's College London, an innovator in clinical research. King's College London is Europe's first clinical partner to adopt NVIDIA DGX-2 and the NVIDIA Clara stage. King's College sent NVIDIA AI answers for reevaluate the practice of radiology and pathology in a journey to all the more likely serve 8 million patients in the UK's National Health Service. Asia Pacific is expected to show a fastest growth in the global computer vision in healthcare market owing to the increasing demand for diagnostic processes for disease diagnosis, technological developments and increasing number of players in this region.
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