Computer Vision in Healthcare Market Size, Share and Trends 2024 to 2034

Computer Vision in Healthcare Market Size and Forecast 2024 to 2034

The global computer vision in healthcare market size is projected to be worth around USD 53.01 billion by 2034 from USD 2.60 billion in 2024, at a CAGR of 35.21% from 2024 to 2034. The North America computer vision in healthcare market size reached USD 710 million in 2023. Increasing demand for personalized treatments is driving the growth of computer vision in healthcare market.

Computer Vision in Healthcare Market Key Takeaways

• North America dominated the computer vision in healthcare market with the largest market share of 37% in 2023.
• Asia Pacific is expected to witness significant growth in the market during the forecast period.
• By component, the software segment held the highest share of the global market in 2023.
• By application, the medical imaging & diagnosis segment led the global market in 2023.
• By end-user, the hospitals & clinics segment held the largest share of the market in 2023 and is expected to maintain its position during the forecast period.

U.S. Computer Vision in Healthcare Market Size and Growth 2024 to 2034

The U.S. computer vision in healthcare market size was exhibited at USD 530 million in 2023 and is projected to be worth around USD 14,910 million by 2034, poised to grow at a CAGR of 35.43% from 2024 to 2034.

North America dominated the computer vision in healthcare market in 2023 owing to the early adoption of technologies into the various end-use sectors, and healthcare is one of the well-developed industries in the regional countries that are contributing to the growth of the market. The increasing cases of severe chronic illnesses like cardiovascular diseases, asthma, cancer, diabetes, and others are driving the demand for enhanced technologically advanced diagnostics and treatment procedures that drive the growth of the market. Additionally, the rising adaptation of artificial intelligence, machine learning, deep learning, and other advanced technologies into healthcare services is driving the growth of computer vision in the healthcare market in the region.

Asia Pacific is expected to witness significant growth in the computer vision in healthcare market during the forecast period. The growth of the market is attributed to the rising investment in the development of healthcare sectors in regional countries like India, China, and Japan, and the continuously evolving population of the region is driving the demand for the healthcare industry. The rising penetration of chronic illness in the elderly population and the rising cases of cancer, tumors, and other severe diseases in the population are driving the growth of computer vision in the healthcare market in the region.

Market Overview

Computer vision technologies are the recent technology in artificial intelligence that works to revolutionize human and machine partners. The healthcare industry is one of the significant areas in which computer vision is rising. Computer vision is a highly developed technology that is transforming the services in the healthcare industry. Computer vision uses technological advancements like artificial intelligence algorithms with optical cameras and sensors.

Computer vision is transforming the medical industry, aiming to help medical professionals and doctors rapidly identify and diagnose diseases, provide personalized treatment for patients, provide accurate diagnoses, predict health outcomes, and monitor medication use. The integration of AI into healthcare enhances the speed of physicians and increases value-based care. Thus, the rising integration of technologies into the healthcare sector is driving the growth of the computer vision in healthcare market.

Computer Vision in Healthcare Market Growth Factors

• The increasing demand for an efficient healthcare industry due to the rising cases of chronic illness drives the demand for a technologically integrated healthcare system that drives the growth of the computer vision in healthcare market.
• The rising investment in the implementation of technological advancements in diagnosis and the rising government intervention in technological advancements in healthcare are driving the growth of the computer vision in healthcare market.
• The rising adoption of artificial intelligence into the healthcare sector for enhanced medical services, diagnostics accuracy, customized medical services, and others drives the growth of the computer vision in healthcare market.
• The continuous evolution of healthcare technologies, such as artificial intelligence and machine learning, into computer vision is contributing to the expansion of the healthcare industry.
• Computer vision in healthcare provides accuracy in medical diagnoses; it helps minimize false positives by bringing precision to medical diagnosis and reduces surgical procedures and costly therapies.
• The further investment in the research and development program into the development and innovations in the new technologies in the healthcare sector is driving the growth of the computer vision in healthcare market.

Application of AI in Computer Vision

AI is having a profound effect on computer vision in healthcare market by increasing computer vision capabilities for more precise diagnosis and tailored treatment based on personal health history of the individuals. AI can be helpful in medical imaging. AI-based computer vision algorithms are able to analyze X-rays, CT-scans and MRIs with accuracy by identifying patterns in it and anomalies presence in the data. Such early detection of the disease can help in life-threatening diseases like cancers and lead to better treatment plans.

Furthermore, in surgical process, time is crucial hence, AI models can assist with real- time data analysis for images which helps surgeons for better visualization improving precision and reduce risks associated with it.

Additionally, AI models are being used to predict skin conditions with the help of images for accuracy, for quick decisions to treat the exacerbating skin conditions.

• In august 2023, Google health launched its AI-powered computer vision technology in number of hospitals across the UK. This technology is specifically designed to analyze early detection for the breast cancer based upon the symptoms shown by female patients.

Market Scope

Market Dynamics

Driver

Rising adoption of computer vision in cancer detection

Computer vision is leveraging artificial intelligence and machine learning into the healthcare sector for early detection and diagnosis of disease, personalized treatment, and accuracy in the treatment, which is driving the growth of computer vision. Computer vision is rapidly evolving in the early detection of cancer and its diagnosis. AI and machine learning are used in medical imaging to monitor and detect the growth of tissues.

Computer vision is trained on the large database, which makes it efficient in detection and categorization tasks and helps in identifying the abnormalities in the tissues and polyps and detecting whether the tumor is malignant or benign. Computer vision helps doctors to early scan the signs of cancer. The rising cases of types of cases in the population, such as the rise in skin cancer and breast cancer, are driving the demand for technologically advanced diagnostics procedures that drive the growth of the computer vision in healthcare market.

Restraint

Lack of awareness

The lack of awareness of computer vision and medical imaging in healthcare in rural areas and the higher cost of medical procedures due to the integration of technologies like artificial intelligence, machine learning, and others that increase the cost of the procedure is restraining the growth of the computer vision in healthcare market.

Opportunity

Advancements in computer visions

The rising advancements in computer vision, such as 3D computer vision, are driving the opportunities in the market’s growth. 3D computer vision includes multiple cameras that are used to capture the various angles of light sensors and objects to measure the time of light reflection. 3D visualization helps in the accurate treatment and diagnosis of the disease. 3D imaging helps medical professionals to make more informed and accurate decisions for the patient’s treatment.

Additionally, the rise in automation in healthcare services helps enhance the accuracy of treatment with the speed and cost reduction in the services, and the rising integration of AI, machine learning, and other technologies in healthcare is driving growth opportunities in the computer vision in healthcare market growth.

Component Insights

The software segment held the highest share of the global computer vision in healthcare market in 2023. The growth of the segment is attributed to the rising adoption of computer vision software in healthcare to enhance disease identification and diagnosis, improve treatment accuracy, and customize medicinal care. Computer vision software works in the different sectors of healthcare, such as patient monitoring, medical education, medical imaging, better image analysis, cancer detection, hospital hygiene, tumor detection, abnormality detection in radiology, diagnosis assistance, Oxipit, hospital management, cancer detection, surgical procedures, early diseases diagnosis, blood loss measurement, and timely detection of underlying medical solutions.

Cloud-based software solutions are seeing significant growth in the computer vision in healthcare market. The rising adoption of cloud-based software solutions is attributed to their higher accessibility, scalability, and cost-effectiveness. This type of software helps analyze and assist healthcare professionals in maintaining diagnostics remotely. The increased compatibility, flexibility, and scalability of the cloud-based software solutions drives the demand for the cloud-based software solutions.

Application Insights

The medical imaging & diagnosis segment led the global computer vision in healthcare market in 2023. The growth of the segment is attributed to the rising implementation of medical imaging and diagnosis in modern healthcare facilities due to its higher accuracy and valuable insights that aim to help healthcare professionals detect and diagnose diseases. The rising adaptation of computer vision into medical imaging and diagnosis is fostering the growth of medical imaging in the healthcare sector.

Medical imaging mainly consists of non-invasive imagery technologies that take medical images of the different parts of the body. There are several benefits associated with medical imaging. The integration of AI into medical imaging helps in identifying and early detection of diseases, and early detection helps in the timely diagnosis of diseases before the full development of diseases. Medical imaging is AI that helps in detecting various abnormalities like cancer, tumors, strokes, pneumonia, COVID-19, and others.

• 43.4 million imaging tests are reported in England between February 2022 to January 2023. 3.41 million images were reported in January 2023.
• In January 2023, X-ray plain radiography accounted for 1.65 million, Computerized Axial Tomography (CT Scan, 0.52 million), Diagnostic Ultrasonography (Ultrasound, 0.81 million), and Magnetic Resonance Imaging

End-user Insights

The hospitals & clinics segment held the largest share of the computer vision in healthcare market in 2023 and is expected to maintain its position during the forecast period. The growth of the segment is attributed to the rising adoption of hospitals and clinics for the treatment and diagnosis of various diseases due to the higher availability of skilled and trained healthcare professionals and the presence of technologically advanced diagnostics machines.

Computer vision is highly adopted by pathologies, and clinical facilities are driving the growth of healthcare facilities. The rising investment by public and private firms for the development of healthcare facilities like hospitals and clinics is further driving the installation of various technologies in diagnostics procedures that contribute to the growth of the market.

Computer Vision in Healthcare Market Companies

• AltexSoft
• AiCure
• Encord
• General Electric (GE)
• ImFusion
• InData Labs
• Insoftex
• NVIDIA Corporation
• Robovision BV.
• Shaip
• Softengi
• Verkada Inc.

Recent Developments

• In May 2024, Microsoft and the digital pathology collaboration, the University of Washington, and Providence health network are planning to ease the challenges with the full-scale AI implementation in the field of cancer diagnostics.
• In March 2024, Siemens Healthineers introduced the Cinematic Reality app designed for the Apple Vision Pro that allows users such as medical students, surgeons, and patients to view immersive and captured interactive holograms of the human body through medical scanning in the real environment.
• In September 2023, Landing AI, a leading player in the computer vision cloud platform, introduces the Landing AI App Space, a new range of applications that are used by the developers to create their own customized Landing AI-based computer vision solutions.
• In February 2024, Sharp HealthCare, a San Diego-based healthcare group, launched the Spatial Computing Center of Excellence, it’s a Prebys education and innovation center that works on the development of an Apple Vision Pro augmented reality headset to increase the process of patient care.
• In October 2024, a group or organization, including the King Khalid Eye Specialist Hospital (KKESH), the Saudi Authority for Data and Artificial Intelligence (SDAIA), the Saudi Company for Artificial Intelligence (SCAI), and Lean Business Services announced the launch of ‘Eyenai,’ the first AI-based ophthalmic solution developed by the Saudi AI engineers and experts in the field.
• In September 2023, Ever.Ag, a leading provider of software solutions in the agriculture sector, has launched a revolutionary system that uses edge computing and computer vision to provide 24/7 monitoring to the calving cows.

Segments Covered in the Report

By Component

• Software
• On-premise
• Cloud-based
• Services

By Application

• Medical Image & Diagnosis
• Surgical Assistance
• Patient’s Identification
• Remote Patient Monitoring

By End-user

• Hospital & Clinics
• Diagnostics Centers
• Academic Research Institutes
• Other End-Users

By Geography

• North America
• Asia Pacific
• Europe
• Latin America
• Middle East & Africa