Discover Top 25 Companies in Computer Vision in Healthcare: Global Share, Market Size, Revenue Report (2024–2035)
RELEASE DATE: Sep 2025 Author: Spherical InsightsRequest Free Sample Speak to Analyst
Description
According to a research report published by Spherical Insights & Consulting, the Global Computer Vision in Healthcare Market Size is projected to Grow from USD 1.77 Billion in 2024 to USD 20.80 Billion by 2035, at a CAGR of 25.11% during the forecast period 2025–2035. The market for computer vision in healthcare is being driven by various factors, including increasing adoption of AI and machine learning for medical imaging, rising demand for accurate diagnostics, growing prevalence of chronic diseases.
Introduction
The global computer vision in healthcare market entails the analysis of medical pictures and videos using computer vision technologies driven by artificial intelligence (AI) and machine learning for illness identification, therapy planning, and patient tracking. Computer vision automates the processing and interpretation of visual data from imaging modalities such as X-rays, CT scans, MRIs, and other medical imaging instruments, increasing diagnostic accuracy, lowering human error, and improving patient outcomes. Its uses include tumor identification, cancer screening, automated cell counting, health monitoring, surgical aid, mask detection, and medical teaching. The market is driven by the rising demand for early and precise diagnosis of life-threatening disorders, since prompt identification considerably increases treatment efficacy. Integration with big data technology enables predictive insights and sophisticated analytics, which improve the efficiency of healthcare services. Government initiatives, financing, and policy support for technology adoption drive expansion, while cooperation between technology suppliers and healthcare institutions broadens implementation. Furthermore, computer vision simplifies hospital operations, maximizes resource use, and enhances patient safety. As healthcare providers around the world adopt innovative solutions, demand for computer vision systems is expected to increase, allowing for faster diagnostics, improved treatment planning, and more effective healthcare service management, ultimately transforming the healthcare landscape through technology-driven efficiency and accuracy.
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Computer Vision in Healthcare Market Size & Statistics
- The Market Size for Computer Vision in Healthcare Was Estimated to be worth USD 1.77 Billion in 2024.
- The Market Size is Going to Expand at a CAGR of 25.11% between 2025 and 2035.
- The Computer Vision in Healthcare Market Size is anticipated to reach USD 20.80 Billion by 2035.
- North America is expected to generate the highest demand during the forecast period in the Computer Vision in Healthcare Market
- Europe is expected to grow the fastest during the forecast period in the Computer Vision in Healthcare Market.
Regional growth and demand
Europe is expected to grow the fastest during the forecast period in the Computer Vision in Healthcare market. Europe's computer vision in the healthcare industry is expanding as healthcare digitalization advances and the government provides significant support for AI integration. Rising demand for customized medicine, precision diagnostics, remote patient monitoring, and chronic illness management, together with investments in digital health infrastructure and artificial intelligence research, is propelling market growth.
North America is expected to generate the highest demand during the forecast period in the Computer Vision in Healthcare market. North America leads the computer vision in healthcare market, driven by advanced healthcare, IT, and telecommunications infrastructure. Favorable government policies, widespread adoption of AI technologies, and the growing prevalence of chronic diseases are increasing hospital admissions are boosting demand for digital healthcare solutions and patient data management.
Top 10 Trends in the Computer Vision in Healthcare Market
- Augmented reality
- Patient monitoring
- Telemedicine
- Artificial intelligence
- Generative AI
- IoT framework
- Real-time computing
- Analytics
- Cost reduction
- Medical education
1. Augmented reality
Augmented reality (AR) improves healthcare by superimposing digital information on real-world settings. In medical imaging and surgery, augmented reality provides surgeons with accurate visual assistance, enhancing surgical precision, training, and patient outcomes. The merging of computer vision with augmented reality allows for real-time imaging of anatomical features, decreasing mistakes and expediting complicated processes.
2. Patient monitoring
Computer vision-based patient monitoring systems monitor vital signs, movements, and behavior in real time. These devices increase patient safety by identifying anomalies, falls, and early warning signs of serious situations. Continuous, automated observation benefits hospitals and care facilities by lowering the stress on medical staff, allowing for proactive intervention and more efficient care delivery.
3. Telemedicine
Telemedicine uses computer vision to do remote diagnoses and virtual consultations. AI-powered image analysis enables physicians to assess X-rays, CT scans, and other medical data without the need for in-person visits. This trend increases accessibility, particularly in rural or disadvantaged regions, lowers hospital congestion, and provides prompt care while retaining high diagnostic accuracy.
4. Artificial intelligence
AI integration in computer vision streamlines picture processing, illness identification, and predictive diagnoses. AI improves clinical decision-making, decreases human error, and facilitates tailored treatment planning by rapidly and correctly evaluating massive datasets. AI-powered computer vision speeds up research, improves patient outcomes, and increases operational efficiency in healthcare organizations.
5. Generative AI
Generative AI in healthcare generates synthetic medical pictures, helps train computer vision models, and mimics illness development for research and diagnosis. This technology enhances algorithm accuracy, makes medical teaching easier, and allows for quick testing of diagnostic instruments. Generative AI improves computer vision applications, allowing for faster, more reliable decision-making in healthcare contexts.
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Stay informed with the latest industry insights and market trends to identify new opportunities and drive growth in the computer vision in healthcare market. To explore more in-depth trends, insights, and forecasts, please refer to our detailed report.
Top 25 Companies Leading the Computer Vision in Healthcare Market
- NVIDIA Corporation
- Microsoft
- Intel Corporation
- IBM Corporation
- Google LLC
- Basler AG
- Arterys Inc.
- AiCure
- iCAD Inc.
- SenseTime
- AltexSoft
- Encord
- General Electric (GE)
- ImFusion
- InData Labs
- Advanced Micro Devices
- Tempus AI, Inc.
- SenseTime
- AltexSoft
- Robovision BV.
- Shaip
- Softengi
- Verkada Inc.
- Zebra Medical Vision
- Caption Health
1. NVIDIA Corporation
Headquarters: Santa Clara, California, U.S.
NVIDIA creates high-performance GPUs and AI computing systems that are commonly utilized in healthcare for computer vision applications. Their technology enables medical imaging, diagnostics, and predictive analytics, allowing for faster and more accurate illness diagnosis. NVIDIA provides global assistance for hospitals, research institutes, and AI developers. Active in over 100 countries.
2. Microsoft
Headquarters: Redmond, Washington, U.S.
Microsoft offers cloud computing, artificial intelligence, and machine learning technologies for healthcare, which include computer vision in diagnostics, telemedicine, and patient monitoring. Its Azure platform enables hospitals and research institutions to implement scalable AI models for medical imaging, predictive analytics, and remote patient care. Microsoft operates in more than 130 countries.
3. INTEL CORPORATION
Headquarters: Santa Clara, California, U.S.
Intel creates CPUs, AI accelerators, and computer vision systems for healthcare applications, which enable medical image analysis, diagnostics automation, and real-time patient monitoring. The firm works with hospitals, AI developers, and research organizations throughout the world and operates in over 100 countries.
4. IBM Corporation
Headquarters: Armonk, New York, U.S.
IBM applies artificial intelligence, machine learning, and computer vision technology to healthcare analytics, medical imaging, and patient monitoring. The Watson Health platform enables early illness identification, treatment planning, and predictive diagnostics. IBM is present in more than 170 countries, driving global healthcare innovation.
5. Google LLC
Headquarters: Mountain View, California, U.S.
Google uses AI and computer vision technology in healthcare through projects like Google Health and DeepMind. Its products help doctors with medical imaging analysis, illness identification, and predictive modeling, resulting in higher diagnostic accuracy and patient outcomes. Google is operating in more than 100 countries.
Are you ready to discover more about the computer vision in healthcare market?
The report provides an in-depth analysis of the leading companies operating in the computer vision in healthcare market. It includes a comparative assessment based on their product portfolios, business overviews, geographical footprint, strategic initiatives, market segment share, and SWOT analysis. Each company is profiled using a standardized format that includes:
Company Profiles
- NVIDIA Corporation
- Business Overview
- Company Snapshot
- Products Overview
- Company Market Share Analysis
- Company Coverage Portfolio
- Financial Analysis
- Recent Developments
- Merger and Acquisitions
- SWOT Analysis
- Microsoft
- INTEL CORPORATION
- IBM Corporation
- Google LLC
- Basler AG
- Arterys Inc.
- AiCure
- iCAD Inc.
- Others.
Conclusion
The global computer vision in healthcare market is fast changing the healthcare landscape by allowing for accurate, efficient, and prompt medical diagnosis and treatment. Computer vision solutions use artificial intelligence, machine learning, and sophisticated imaging technologies to improve medical imaging analysis, early illness identification, patient monitoring, and surgical assistance. These technologies eliminate human error, streamline clinical operations, and improve patient outcomes in hospitals, research institutes, and diagnostic centers. Government efforts, greater healthcare digitalization, and growing usage of AI-powered platforms for customized medicine and chronic illness management all contribute to market development. Key firms such as NVIDIA, Microsoft, Intel, IBM, and Google are developing novel solutions and growing their global footprint to facilitate wider use of computer vision technology. Additionally, integration with telemedicine, augmented reality, and generative AI applications improves diagnosis accuracy and operational efficiency. With continuous research, technology developments, and rising healthcare demand, the computer vision market is primed for long-term worldwide growth, transforming diagnostics, treatment planning, and overall healthcare delivery.
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