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Table of Content
April 2025
Principal Consultant
Reviewed By
The global computer vision in healthcare market size is calculated at USD 2.45 billion in 2024, grew to USD 3.32 billion in 2025, and is projected to reach around USD 49.26 billion by 2034. The market is expanding at a CAGR of 35.25% between 2025 and 2034.
| Metric | Details |
| Market Size in 2024 | USD 2.45 Billion |
| Projected Market Size in 2034 | USD 49.26 Billion |
| CAGR (2025 - 2034) | 35.25% |
| Leading Region | North America |
| Market Segmentation | By Component, By Product Type, By Application, By End-User, By Region |
| Top Key Players |
Artisight, Caregility Corporation, Google, LLC, IBM Corporation, Iterative Health, KARL STORZ, Microsoft Corporation, NVIDIA Corporation, SenseTime, Viso.AI |
Computer vision (CV) is a branch of artificial intelligence (AI) that deals with understanding and interpreting the content of pictures and video streams to make effective clinical decisions. It helps healthcare professionals to quickly identify a disease, offer personalized treatments, and monitor medication usage. It is used in imaging techniques and symptom tracking to revolutionize the healthcare sector. Apart from diagnosing and monitoring, CV can train medical professionals to deal with emergencies. CV also leads to automating cell counting in the cell culture procedure.
Several factors govern market growth, including technological advancements and extended applications of CV in the healthcare sector. The rising prevalence of chronic disorders encourages patients to detect their conditions earlier. The increasing number of hospitalizations and the demand for enhanced patient care boost the market. Numerous government organizations support the installation of AI-based technologies in healthcare organizations through policies and funding.
Increasing Number of Surgeries
The major growth factor of the market is the increasing number of surgeries, due to the rising prevalence of chronic disorders and road accidents. It is estimated that more than 313 million surgeries are performed globally every year. CV technology has widespread applications in monitoring patients’ health during and after surgeries. CV technologies help surgeons to visualize a patient’s internal organs during surgeries, decreasing the potential for making errors. They help to identify internal bleeding, blocked blood arteries, and other illnesses. These technologies also provide an idea about the amount of blood required to maintain health during surgeries. Thus, CV technologies augment the decision-making process, support safer surgery, and expand access to surgical care.
Data Privacy
The major challenge of computer vision in the healthcare market is data privacy. AI-based tools in healthcare are more prone to cyberattacks, breaching security and privacy. Sensitive patient healthcare information can be leaked, limiting the adoption of computer vision in healthcare.
Personalized Treatments
The future of computer vision in the healthcare market is promising, driven by the growing demand for personalized treatments. CV technology can better understand and diagnose an individual’s illnesses and conditions. This helps healthcare professionals to provide tailored treatments, enhancing treatment outcomes. CV analyzes patient-specific medical history, imaging data, and genetic information. It is embedded in imaging tools such as MRI and CT scans, to interpret complex data and reduce manual errors. The rapidly changing demographics necessitate researchers to develop personalized medicines, reducing the administration of unnecessary therapeutics and adverse effects. Favorable government initiatives also support the development of personalized medicines.
By component, the hardware segment held a dominant presence in the computer vision in healthcare market in 2024. Advanced imaging tools are equipped with computer vision technology to enhance diagnostic accuracy. Numerous researchers are innovating current diagnostic tools, such as X-ray machines, CT scanners, and MRI machines, to improve efficiency and functionality. The advent of wearable devices also boosts the segment’s growth. Computer vision algorithms enable patient monitoring through wearable technology and sensors.
By component, the software segment is predicted to witness significant growth in the market over the forecast period. Computer vision software is predominantly used by healthcare professionals who lack suitable infrastructure in their healthcare setting. The availability of user-friendly and affordable software increases its demand. The software algorithms aid in disease detection and surgical guidance. Software also helps to manage complex clinical trial data. CV-enabled mobile apps also help providers to verify that subjects are taking the prescribed medications and following the treatment regimen.
By product type, the PC-based computer vision systems segment led the global computer vision in healthcare market in 2024. PC-based systems are widely preferred, as most of the healthcare organizations globally have computers. These systems are used for a wide range of applications, from entry-level to advanced. They can handle complex data as they have the greatest flexibility, unlike smart cameras. They can handle multiple camera inputs. Moreover, they offer greater power and speed compared to smart cameras.
By product type, the smart camera-based computer vision systems segment will gain a significant share of the market over the studied period. The demand for smart camera-based systems is growing as they do not require specific installation infrastructure. The segmental growth is attributed to the affordability, simplicity, and reliability of smart camera-based systems. Advancements in microprocessor technologies have led to the development of innovative smart cameras. Additionally, they are programmed to handle imaging algorithms and application functions.
By application, the medical imaging & diagnostics segment registered its dominance over the global computer vision in healthcare market in 2024. The primary application of computer vision in healthcare is to automate diagnosis and enhance accuracy. CV technologies can detect minor changes in the MRI and CT scan reports, allowing healthcare professionals to make effective clinical decisions. Several studies have found that CV can analyze and differentiate images with 90% accuracy. CV is not only used for early detection but also for monitoring abnormalities during patient recovery.
By application, the surgeries segment is anticipated to show lucrative growth over the coming years. The increasing number of surgeries necessitates healthcare professionals to monitor a patient’s condition during and after the surgery. CV technologies play a major role in assessing images or videos, identifying surgical phases, tools, and anomalies. The World Health Organization (WHO) reports that around 1 in every 10 patients is harmed in healthcare, and more than 3 million die due to unsafe care. CV technologies can help prevent surgical errors and drive precision.
By end-user, the healthcare providers segment held the largest share of the computer vision in healthcare market in 2024. CV technologies are most widely used by healthcare providers to improve treatment efficiency and provide tailored treatments. These technologies aid in disease prevention, surveillance, and epidemic prediction. Hence, they help providers to intervene before symptoms show up by identifying illness risk factors. CV assists in various ways, from early diagnosis to recovery monitoring. CV technologies are also used to train medical professionals, resulting in fewer errors and better health outcomes.
By end-user, the diagnostic centers segment is projected to expand notably in the market in the coming years. Diagnostic centers have favorable infrastructure and suitable capital investments to install cutting-edge CV technology. CV utilizes medical imaging data to improve illness, diagnosis, treatment, and prognosis. It facilitates picture segmentation and pattern categorization to identify the disease stage. CV also plays a vital role in quickly and accurately segmenting bones and joints, in the case of orthopedic disorders. Thus, CV can increase diagnostic accuracy and speed, saving physicians’ time.
North America dominated the global computer vision in healthcare market in 2024. The need for advanced healthcare infrastructure has led to the adoption of cutting-edge technologies, including CV. Favorable government support through initiatives and funding favors market growth. The presence of major tech players dominates the global market in North America. The increasing collaborations and mergers & acquisitions facilitate the development and adoption of CV technologies in healthcare organizations. Moreover, the growing demand for personalized treatments and the need for enhanced patient care drive the market.
It is estimated that more than 4,000 surgical errors occur annually in the U.S. The U.S. government’s “Precision Medicine Initiative” enables researchers to develop personalized medicines and encourages healthcare professionals to provide tailored treatments.
The Government of Canada launched the “Pan-Canadian AI for Health (AI4H) Guiding Principles” to guide the federal, provincial, and territorial governments to support the responsible and ethical adoption and use of AI technologies in healthcare. This will drive research and innovation, improve health systems, and lead to better health outcomes.
Asia-Pacific is anticipated to grow at the fastest rate in the computer vision in healthcare market during the forecast period. The growing awareness about computer vision technology in healthcare and its benefits favors the market. The increasing healthcare expenditure and favorable government policies boost the market. The burgeoning healthcare sector is driving the demand for the adoption of CV technologies. The rising prevalence of chronic disorders, such as cancer and cardiovascular disorders, also augments market growth.
In December 2024, China opened its first AI hospital, Robodoc Hospital, in Beijing, developed by Tsinghua University researchers, which is entirely run by robots to diagnose, treat, and monitor patients. The robotic doctors use advanced NLP, CV, and predictive analytics to deliver advanced care.
The World Economic Forum reported that the use of AI in diagnoses and healthcare provisions is being explored and funded in Japan. The Japanese government’s Society 5.0 initiative supports a technology-integrated society. The government plans to establish 10 AI-based hospitals in the near future.
Europe is expected to grow at a considerable rate in the computer vision in healthcare market in the upcoming period. The increasing investments and collaborations promote the adoption of AI-based technologies in healthcare organizations in Europe. The growing awareness of personalized medicines and the increasing number of clinical trials also govern market growth. The European government’s EU4Health program 2021-2027 aims to reinforce crisis preparedness by building stronger, more resilient, and more accessible health systems.
Germany is the third-largest medical technology market globally after the U.S. and Japan. Germany’s healthcare sector accounts for roughly 12% of Germany’s GDP, generating an economic footprint of EUR 775 billion. The German government’s “Digital Act” promotes digitalization in healthcare in the country.
The increasing healthcare expenditure contributes to market growth in the UK. The UK government spent approximately £292 billion on the current healthcare in 2023. In 2023, there were approximately 17.6 million hospital admissions in the UK, promoting the adoption of computer vision.
Roberta Schwartz, Chief Innovation Officer at Houston Methodist Hospital, commented that real-time insights fed by AI computer vision and live visuals from cameras on the ceiling help surgeons prepare and keep their caseloads on track. She also added that AI can forecast scheduling changes throughout the day and look for opportunities to improve resource productivity and team coordination to increase case volumes without compromising quality of care and decreasing the burden on perioperative staff.
By Component
By Product Type
By Application
By End-User
By Region
April 2025
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