Computer Vision in Healthcare Market Analysis
Based on the component, the market is classified into software and services. The software segment has asserted its dominance in the global market by securing a significant share and experiencing growth of 34.6% between 2024 – 2032.
- Software solutions play a significant role in powering computer vision algorithms, image processing, and data analysis for various applications. With the growing advancements in machine learning and AI, healthcare providers are increasingly relying on software platforms to interpret medical images, assist in diagnostics, and optimize patient care workflows.
- Cloud-based software solutions have gained traction due to their scalability, accessibility, and cost-effectiveness. These platforms offer healthcare providers the ability to analyze and assist healthcare professional in diagnostics and streamline workflows even remotely. Thus, software solutions offering flexibility, scalability, and compatibility with existing healthcare IT infrastructure will increase the adoption, thereby fostering the market.
Based on the application, computer vision in healthcare market is classified into medical imaging & diagnosis, surgical assistance, patient identification, remote patient monitoring, and other applications. The medical imaging & diagnosis segment held the largest market share of 42.0% in 2023.
- AI in medical imaging has marked remarkable progress owing to its accuracy, aiding in the detection and diagnosis of diverse conditions. For instance, in June 2023, University of Michigan and Michigan Medicine researchers collaborated to develop a novel computer vision learning method ‘HiDisc’ for cancer diagnosis. This tool employed AI and machine learning to scrutinize microscopy images, recognizing typical cancerous tumor characteristics. Such collaboration coupled with growing advancement in the AI field especially in healthcare sector has led a remarkable growth in the market.
Based on the end-user, the computer vision in healthcare market is categorized into hospitals & clinics, diagnostic centers, academic research institutes, and other end-users. The hospitals & clinics segment is expected to reach USD 6.6 billion by 2032.
- Hospitals and clinics increasingly adopt computer vision technologies to integrate with their existing healthcare systems, enhancing diagnostic processes, patient care, and workflow efficiency. They utilize computer vision extensively in diagnostic imaging and pathology, where algorithms assist in interpreting medical images and pathology slides, aiding in more accurate diagnoses. Also, the technology facilitates early detection, personalized treatment planning, and patient health monitoring, leading to better outcomes and proactive healthcare approaches.
North America is projected to maintain its lead in the global computer vision in healthcare market, anticipated to show CAGR of 34% to reach USD 6 billion by 2032.
- North America exhibited a strong inclination towards advanced digital technologies, driven by its well-developed healthcare, IT, and telecommunications infrastructure, which has propelled the growth of computer vision in the healthcare market. Also, favorable government policies actively encourage the integration of digital and innovative technologies, including AI in the healthcare sector.
- Thus, adoption of latest technology in the healthcare sector along with presence of key players in the region will boost the market growth.