Computer Vision in Healthcare Market – Global Overview and Forecast (2023-2029) by Type, Application, End Users, and Region

Computer Vision in Healthcare Market size was valued at US$ 10.07 Bn. in 2022 and the total Computer Vision in Healthcare revenue is expected to grow by 46.2 % from 2022 to 2029, reaching nearly US$ 143.84 Bn.
Computer Vision in Healthcare Market Overview:
The Computer vision has been used in a variety of healthcare applications to help healthcare experts to make better decisions about patient treatment. Sonography, also known as medical image analysis, creates a visual representation of specific organs and tissues to assist in diagnosis. Computer vision technology advancements are transforming the health sector. When combined with AI, the technology has the potential to disrupt the industry. Computer vision is a standard part of hospital operations. Its primary use is to aid in the analysis of medical scans. This can sometimes save a patient's life because early detection allows for treating otherwise fatal diseases. Existing computer vision solutions are proving to be effective. Rapid prototyping and three-dimensional modeling are being used to develop medical imaging modalities such as CT and MRI.To know about the Research Methodology:-Request Free Sample Report

In this report, the reason for Computer Vision in the Healthcare market's growth reasons, as well as the market's many segments (Type, Application, End Users, and Region), are discussed. Data has been given by market players, regions, and specific requirements. This market report includes a comprehensive overview of all the significant improvements presently prevailing in all market segments. Key data analysis is presented in statistics, infographics, and presentations. The study discusses the Computer Vision in the Healthcare market's Drivers, Restraints, Opportunities, and Challenges. The report helps assess the market growth drivers and determines how to use these drivers as a tool. The information also helps rectify and resolve issues related to the global Computer Vision in the Healthcare market situation.
Dynamics:
Various applications of Computer Vision

Computer vision technologies may be used to monitor the treatment of various disorders. It enables doctors to assess the many phases of a condition, examine the effect of medication, and potentially even predict the root cause of the disease. Doctors can do more work in less time with the help of computer vision. Working with computer vision saves valuable doctors' time so that they can focus on giving the best possible care to their patients. However, technology is rapidly evolving.

According to studies, computer vision is now capable of diagnosing skin cancer as effectively as a certified professional. Other types of cancer detection methods are also being developed. Image analysis may be conducted entirely by computers once they are judged dependable enough. This will be a genuinely transformative change in the industry. Computer vision may enhance both speed and accuracy by finding hidden patterns and making diagnoses with fewer mistakes.

Use of Computer Vision in Medical Fields :

The medical sector is divided into various subfields, each focusing on a different specialty. Dermatology, for example, is concerned with the skin, while cardiology is concerned with the heart and so on. Computer vision is employed differently in each sector to assist doctors in detecting early indicators of symptoms and preventing the disease.

Accurate Measurement of Blood Loss:

Computer vision is now accurate enough (more than 99 percent) to predict and measure data by processing images in great detail. Gauss Surgical has created a computer vision program that helps in the measurement of blood loss during delivery. For decades, excessive bleeding after delivery has resulted in numerous problems and the death of new mothers. This program measures blood loss so that doctors can predict when the patient's condition may become dangerous. The CV tool analyses images of surgical sponges and suction canisters used during delivery to evaluate whether the patient is in danger of excessive blood loss.

Computer Vision can Minimize False Positives:

Another possible use for computer vision systems is the reduction of false positives during the diagnostic process. The technique has the potential to minimize the amount of unnecessary surgical operations and costly treatments. A large quantity of data may be used to train computer vision algorithms to identify the smallest presence of a condition. Because of the sensory limitations of human bodies, a doctor may easily overlook them. The use of computer vision in healthcare allows for far better degrees of precision in diagnosis.

Computer Vision is also used for Tumor Detection:

Deep learning and computer vision applications have shown to be quite useful in the medical field, particularly in the accurate diagnosis of brain cancers. If left untreated, brain tumors spread swiftly to other parts of the brain and spinal cord. Medical personnel may use computer vision tools to speed up and simplify the detection process. In healthcare, computer vision techniques such as Mask-R Convolutional Neural Networks (Mask R-CNN) can help detect brain cancers, lowering the risk of human mistakes significantly.

Other benefits

These technologies lower the danger of workers' compensation and medical negligence claims by drastically enhancing the safety of medical facilities as well as the accuracy and quality of medical services. As a consequence, medical facilities' insurance costs are reduced. All the above benefits are expected to boost the market growth over the forecast period.

Drawbacks of the Computer Vision in the Healthcare Market:

There is no technology that is free from flaws and that fact is also true for computer vision systems. There is no perfect technology, and computer vision systems are no exception. To train computer vision systems, companies must have a team of highly qualified individuals who understand the distinctions between AI, Machine Learning, and Deep Learning technologies. More expertise is required to help influence the future of technology. Regular monitoring is required since a computer vision system that has a technical problem or fails might result in massive losses for businesses. As a result, businesses must have a committed team on board to monitor and assess these systems.
Computer Vision in Healthcare Market Segment Analysis:
By Type, the software segment accounted for the highest share of computer vision in the healthcare market in 2022. Software solutions digitalize healthcare and incorporate artificial intelligence allowing healthcare providers to achieve a competitive advantage despite the problems of personnel shortages and growing imaging scan volumes. This is a primary driver of market growth.

By Application, the medical imaging and diagnostics segment held the largest market share in 2020. This segment is also expected to grow the most throughout the forecast period. The benefits of adopting computer vision for medical imaging and diagnostics, such as increased quality, accuracy, and predictability, as well as early diagnosis of certain diseases, are propelling the medical imaging and diagnostics market ahead.

By End Users, the healthcare providers segment held the largest market share in 2020 and is expected to grow at the fastest rate during the forecast period. The rising usage of computer vision solutions in hospitals, as well as organizations' increased focus on creating AI and computer vision tools to improve hospital operations, are the primary reasons driving the growth of this segment.
Computer Vision in Healthcare Market Regional Insights:
North America's Computer Vision in the Healthcare market is also expected to grow the most throughout the forecast period. The increasing number of imaging procedures for illness detection, growing use of customized medicine, and growing government initiatives for the adoption of AI-based solutions in healthcare may all be related to the North American market's rapid growth.

In the Asia-Pacific region, Computer Vision in Healthcare is expected to grow owing to the increasing proportion of technology usage for illness diagnosis, and the government's increased participation in promoting AI-based platforms in the healthcare sector is driving demand in the region.

The objective of the report is to present a comprehensive analysis of the Computer Vision in the Healthcare market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants.

PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The report also helps in understanding the Computer Vision in Healthcare market dynamics, and structure by analyzing the market segments and projecting the Computer Vision in Healthcare market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Computer Vision in the Healthcare market make the report investor’s guide.
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Global Computer Vision in Healthcare Market


Report Coverage
Details


Base Year:
2022
Forecast Period:
2023-2029


Historical Data:
2018 to 2022
Market Size in 2022:
US $ 10.07 Bn


Forecast Period 2023 to 2029 CAGR:
46.2%
Market Size in 2029:
US $ 143.84 Bn


 Segments Covered:
by Type
Software
Hardware
Networks


by Application
Medical Imaging & Diagnostics
Surgeries
Detection
Other Applications


by End Users
Healthcare providers
Diagnostic centers
Academic research institutes
Others



by Region
North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina Rest of South America)
Computer Vision in Healthcare Market Key Players
1. NVIDIA Corporation
2. Microsoft
3. Intel Corporation
4. Xilinx Inc.
5. IBM
6. Google
7. Basler AG
8. Arterys
9. AiCure
10.iCAD Inc
11.International Business Corporation
12.Comofi Medtech Pvt Ltd
13.SenseTime
14.Maxicareb Healthcare Corporation
15.Thunderpod, Inc.

FAQs:

1. Which is the potential market for Computer Vision in Healthcare in terms of the region?
Ans. In the APAC region, the increasing proportion of technology usage for illness diagnosis, and the government's increased participation in promoting AI-based platforms in the healthcare sector are expected to drive the Computer Vision in the Healthcare market.

2. What is expected to drive the growth of the Computer Vision in the Healthcare market in the forecast period?
Ans. Doctors can do more work in less time with the help of computer vision. Working with computer vision saves valuable doctors' time so that they can focus on giving the best possible care to their patients.

3. What is the projected market size & growth rate of the Computer Vision in the Healthcare Market?
Ans. Computer Vision in Healthcare Market size was valued at US$ 10.07 Bn. in 2022 and the total Computer Vision in Healthcare revenue is expected to grow at 46.2 % through 2023 to 2029, reaching nearly US$ 143.84 Bn.

4. What segments are covered in the Computer Vision in Healthcare Market report?
Ans. The segments covered are Type, Application, End Users, and Region.