Computer Vision in Healthcare Market size was valued at USD 1.3 billion in 2024 and is anticipated to reach USD 55.6 billion by the end of 2037, rising at a CAGR of 33.5% during the forecast period, i.e., 2025-2037. In 2025, the industry size of computer vision in healthcare is evaluated at USD 1.7 billion.
The computer vision in healthcare market is expanding at a rapid pace due to the increasing global demand for advanced diagnostic and monitoring tools. Computer vision technologies transform patient care through the enablement of precise, real-time analyses, from image diagnostics to surgery assistance. In April 2024, iCAD partnered with RAD-AID to deploy its ProFound AI Detection solution in low- and middle-income countries, starting with Guyana. Such initiatives that underline policymakers' belief in AI-driven computer vision tools for facilitating access to healthcare solutions because the requirement for diagnostic and therapeutic procedures is continuously on the rise across the world, especially in underserved areas.
Furthermore, the supportive policies and investments of governments in various parts of the world focus on the areas of accessibility and innovation for accelerated AI adoption in healthcare. A set of such policies includes encouraging the development of digital health infrastructure and funding research into AI technologies. Moreover, the funding associated with different AI-enabled projects in healthcare has apparently increased recently, especially in those regions where digital transformation in health is taken seriously. This governmental support is important, enhancing computer vision in health, which upgrades diagnostics, improves patient care, and routine operations for large-scale dissemination of AI-driven healthcare tools to larger masses.
Growth Drivers
Challenges
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Base Year |
2024 |
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Forecast Year |
2025-2037 |
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CAGR |
33.5% |
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Base Year Market Size (2024) |
USD 1.3 billion |
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Forecast Year Market Size (2037) |
USD 55.6 billion |
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Regional Scope |
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Component (Software, Services)
Software segment is projected to account for around 75% computer vision in healthcare market share by 2037. This dominance is propelled by the growing reliance on various solutions for image analysis, diagnostic support, and patient monitoring. For example, Landing AI announced in September 2023 the launch of the Landing AI App Space, which is a development platform that has the capability to create custom computer vision applications for healthcare. This development marks the importance of software in meeting the growing needs of the sector and gives the leading position to the software segment in the computer vision in healthcare market.
Application (Medical Imaging & Diagnosis, Surgical Assistance, Patient Identification, Remote Patient Monitoring)
By the end of 2037, medical imaging and diagnosis segment is estimated to hold over 40% computer vision in healthcare market share. The factors behind this dominance include the high demand for accurate, AI-enhanced imaging solutions. Diagnostic applications using computer vision also boost speed and precision, two factors of vital importance in detecting diseases and treatment planning. In June 2023, the University of Michigan designed HiDisc, which is a machine-learning tool used in recognizing cancer characteristics through microscope images, thereby increasing the accuracy of diagnosis. Such diagnostic innovations underline the important role computer vision will play in the advancement of medical imaging and fuel segment growth.
Our in-depth analysis of the computer vision in healthcare market includes the following segments
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Component |
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Application |
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End user |
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North America Market Analysis
By 2037, North America computer vision in healthcare market is projected to hold more than 42.5% revenue share, due to rapid technological advances and strong regulatory support for AI in healthcare. Federal initiatives and investments in AI for healthcare boost the usage of advanced computer vision solutions in diagnostic and patient monitoring applications. These factors, combined with supportive regulatory frameworks and relatively higher healthcare spending in the region, create an opportunistic computer vision in healthcare market for the players. As a result, these factors drive further adoption of applications involving computer vision in medical imaging, surgery, and patient monitoring.
The U.S. computer vision in healthcare market is driven by strong healthcare infrastructure and federal government support for AI-powered healthcare solutions. For example, AMD strengthened its AI and adaptive computing portfolio with the finalization of the acquisition of Xilinx in February 2022, further leveraging its position in the healthcare market. This acquisition represents some of the technological developments leading to the adoption of computer vision solutions in the U.S. healthcare sector, which in return propels growth in the computer vision in healthcare market.
Government initiatives to promote healthcare technology help boost the adoption of computer vision tools in Canada. Healthcare providers in the country are looking toward AI applications in patient diagnostics and monitoring. For example, in November 2023, Philips launched HealthSuite in Canada, which is a platform with computer vision algorithms to support diagnostics. The launch is well in line with the effort being set forth by Canada in innovative healthcare technologies, enough to ensure an enabling landscape for AI in healthcare.
Asia Pacific Market Analysis
Asia Pacific computer vision in healthcare market is expected to witness growth rate of around 24.5% till 2037. This expansion is due to increased technological advancements and investments in the healthcare infrastructure during the forecast period. The region is adopting AI-driven computer vision applications in healthcare to meet the growing demand for effective diagnostic tools and personalized treatment. Developed and developing countries like Japan, China, and India are investing in digital healthcare transformation. Therefore, the region has become a lucrative market for computer vision technology in healthcare.
The computer vision in healthcare market in China is also developing at a rapid pace due to huge government support for AI in the healthcare sector and massive investment in the field of medical technology. The computer vision tools are becoming widely adopted in diagnostics and patient monitoring, addressing accessibility and accuracy in healthcare. In September 2023, Ever.Ag launched a computer vision system that uses edge computing to monitor animal health, reflecting the country's larger ambition of applying AI across all sectors. This innovative approach aligns with the set goals in China healthcare framework, where through advanced applications of AI, the country works toward achieving efficient healthcare.
In India, the healthcare market is adapting to computer vision to foster better diagnostics and patient care, backed by government policies that encourage digital solutions for healthcare. With the strong push towards AI-driven diagnostics, the adoption of tools such as computer vision for early detection of diseases and telemedicine is gaining traction in India. In July 2024, Fitterfly, a digital therapeutics company based in India, partnered with Google Cloud to introduce Fitterfly Klik. This AI-powered meal tracking feature allows users to track their meals for diabetes management. Such a strategic step reflects the country's commitment to integrating AI in improving patient outcomes and preventive care.
Some of the key players in the computer vision in healthcare market are General Electric (GE), ImFusion, AltexSoft, AiCure, Encord, NVIDIA Corporation, InData Labs, Insoftex, Robovision BV., Shaip, Softengi, and Verkada Inc. These companies are well on the road to developing AI-driven solutions for improved diagnostics, surgical assistance, and patient monitoring. Major players rely on partnerships, acquisitions, and product launches as strategies to further their positions in the computer vision in healthcare market. The competitive dynamics place greater emphasis on technological innovation and the integration of AI, given that firms are keenly seeking continuous differentiation through superior capabilities and value additions to healthcare solutions.
In March 2024, Microsoft and NVIDIA announced the addition of NVIDIA's AI Enterprise software into Microsoft's Azure Machine Learning service. This launch reflects the recent trend where top firms are teaming up to offer scalable AI solutions for healthcare, targeting areas such as medical imaging and diagnostics. By combining their expertise, Microsoft and NVIDIA are addressing the healthcare industry's need for reliable and efficient AI-driven solutions that further heighten competition among the players in the computer vision in healthcare market.
Here are some leading players in the computer vision in healthcare market
Author Credits: Radhika Pawar
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