Computer Vision in Healthcare Market

• In April 2024, iCAD partnered with RAD-AID to enhance breast cancer detection utilizing the Al technology in underserved regions and low- and middle-income countries (LMICs).
• In March 2024, Microsoft and NVIDIA have broadened their longstanding collaboration with robust new integrations that harness cutting-edge NVIDIA generative Al and Omniverse technologies across Microsoft Azure, Azure Al services, Microsoft Fabric, and Microsoft 365
• In February 2022, Advanced Micro Devices acquired Xilinx. This acquisition established the forefront leader in high- performance and adaptive computing, with a significantly expanded scale and the most formidable portfolio of leadership computing, graphics, and adaptive SoC products in the industry.

In this report, the Computer Vision in Healthcare Market has been segmented by Products and Services, Application, End User and Geography.

Computer Vision in Healthcare Market, Segmentation By Products and Services

The Computer Vision in Healthcare Market has been segmented by Products and Services into Hardware - Processors, Memory Devices & Networks, Software - Cloud-Based and On-Premises, Services

Hospital-Based Laboratories

Hospital-based laboratories dominate with around 45% of the global clinical laboratory test market share. Positioned within hospital facilities, these labs provide an extensive range of diagnostic services, enabling rapid result delivery. Their integration with patient care teams and access to comprehensive medical records ensures more precise and efficient diagnoses.

Central or independent laboratories capture nearly 35% of the market, favored for their large-scale testing capacity and cost-effectiveness. Serving multiple clinics and hospitals, they offer advanced diagnostic capabilities that smaller labs often cannot provide. Their reliance on automation and specialized technology enhances result accuracy and operational efficiency.

Physician office-based laboratories account for about 15% of the industry. Situated within medical practices, these labs deliver quick and on-site test results, improving patient satisfaction and care efficiency. By eliminating delays associated with external lab referrals, they support faster treatment decisions and better patient outcomes.

Other facilities, including retail clinic laboratories, contribute roughly 5% to the market. Retail clinics have emerged as convenient, affordable testing hubs, often located within pharmacies or community spaces. Their accessibility, extended service hours, and walk-in availability make them an appealing choice for preventive and routine diagnostics.

Computer Vision in Healthcare Market, Segmentation by Application

The Computer Vision in Healthcare Market has been segmented by Application into Medical Imaging And Diagnostics, Others and Surgeries.

Computer Vision in Healthcare Market, Segmentation by End User

The Computer Vision in Healthcare Market has been segmented by End User into Healthcare Providers, Diagnostic Center and Others.

Healthcare Providers

With nearly 60% market share, healthcare providers are the largest adopters of computer vision in healthcare. These institutions utilize AI-powered imaging and monitoring solutions to boost diagnostic accuracy, guide complex surgeries, and streamline patient care. Integration of computer vision into clinical workflows enhances both efficiency and patient outcomes.

Representing about 30% of the market, diagnostic centers rely heavily on computer vision for faster and more accurate image interpretation. From X-rays and MRIs to CT scans, these centers use AI-driven tools to detect anomalies quickly, reduce manual workload, and improve diagnostic consistency.

Covering approximately 10% of the market, the “Others” category includes research institutions, universities, and telehealth service providers. They deploy computer vision technologies for advanced medical research, AI model training, and remote diagnostics — pushing innovation while expanding care to remote and underserved communities.

Computer Vision in Healthcare Market, Segmentation by Geography

In this report, the Computer Vision in Healthcare Market has been segmented by Geography into five regions; North America, Europe, Asia Pacific, Middle East and Africa and Latin America.

Computer Vision in Healthcare Market Share (%), by Geographical Region.

Holding nearly 38% of the global Computer Vision in Healthcare Market, North America remains a leader due to its robust healthcare infrastructure and rapid adoption of AI-powered diagnostics. Strategic R&D investments, supportive regulatory frameworks, and the presence of major industry leaders continue to drive market expansion.

Accounting for around 27% of the market, Europe is witnessing steady growth through increased telemedicine integration and government-backed digital health policies. Leading economies like Germany, the UK, and France are at the forefront of using AI-driven imaging for enhanced patient outcomes.

With a market share of approximately 22% and the highest projected CAGR of over 14%, Asia Pacific is emerging as a global growth hub. Rising healthcare investments, expanding patient bases, and rapid adoption of AI-enabled diagnostics in China, Japan, and India are fueling this surge.

Representing nearly 7% of the global market, Middle East and Africa are progressing with increased healthcare automation and digital transformation initiatives. Gulf nations are accelerating AI adoption in medical imaging, while African countries are steadily upgrading healthcare capabilities.

Contributing about 6% to the global market, Latin America is expanding its AI healthcare footprint, led by Brazil and Mexico. Rising private healthcare investments and growing reliance on AI-enhanced diagnostics are improving both accessibility and accuracy across the region.