The global computer vision in healthcare market was valued at USD 2,692.5 million in 2024 and is projected to expand at a compound annual growth rate (CAGR) of 32.7% from 2025 to 2030, reaching an estimated USD 15,600.8 million by 2030. Continuous advancements in machine learning technologies—particularly computer vision—are expected to significantly transform healthcare by enabling more efficient diagnostic and treatment processes and improving overall patient care outcomes.

Market growth is primarily driven by the increasing demand for computer vision systems across healthcare applications, supportive government initiatives encouraging AI adoption, integration of big data into healthcare practices, and the growing use of computer vision in precision medicine. Together, these factors are expected to fuel robust market expansion. Artificial intelligence continues to reshape multiple industries, including healthcare, where it is enhancing diagnostic accuracy and improving patient treatment outcomes worldwide.

Key Market Trends & Insights

  • North America accounted for the largest revenue share of 35.1% in 2024, maintaining its dominance in the global computer vision in healthcare market.
  • The U.S. led the North American market and held the highest revenue share in 2024.
  • By component, the software segment dominated the market with a 45.3% revenue share in 2024.
  • By end use, healthcare providers emerged as the leading segment, accounting for 54.7% of total revenue in 2024.
  • The diagnostic centers segment is anticipated to witness the fastest growth, registering a CAGR of 35.3% from 2025 to 2030.

Market Size & Forecast

  • 2024 Market Size: USD 2,692.5 million
  • 2030 Projected Market Size: USD 15,600.8 million
  • CAGR (2025–2030): 32.7%
  • Largest Regional Market (2024): North America

Computer vision technologies add a high degree of precision to medical diagnostics, helping reduce false positives and minimizing the need for unnecessary surgical procedures and expensive therapies. By leveraging advanced algorithms trained on extensive datasets, these systems can detect subtle signs of disease that may be missed by human clinicians due to natural sensory limitations. Ongoing technological advancements suggest that diagnostic accuracy using computer vision could approach near-perfect precision.

In addition, healthcare professionals increasingly rely on computer vision to analyze health and fitness metrics, enabling patients to make faster and more informed medical decisions. In modern clinical environments, computer vision is used to measure blood loss during surgeries—particularly cesarean sections—allowing for timely interventions during critical situations. The technology is also applied to assess body fat percentage using images captured by standard cameras, highlighting its versatility and expanding role in comprehensive healthcare assessments.

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Key Computer Vision in Healthcare Company Insights

Leading companies are actively strengthening their market presence through product launches, technological developments, expansions, mergers and acquisitions, strategic partnerships, and collaborations. These initiatives are aimed at enhancing market penetration and reinforcing competitive positioning.

  • NVIDIA continues to advance computing and artificial intelligence by delivering high-performance GPUs and AI platforms that support innovations in medical imaging analysis, disease detection, and drug discovery. Through dedicated healthcare AI solutions and collaborations with medical institutions, NVIDIA is accelerating the adoption of computer vision technologies across the healthcare sector.
  • Intel remains at the forefront of computing innovation, offering advanced processors and AI technologies that enable efficient processing and analysis of complex medical images. Its hardware and software platforms support faster and more accurate diagnostics, helping healthcare organizations improve patient outcomes and operational efficiency through continuous innovation and strategic collaborations.

Key Computer Vision in Healthcare Companies

The following companies represent the leading players in the computer vision in healthcare market and collectively influence industry trends:

  • NVIDIA Corporation
  • Microsoft
  • Intel Corporation
  • IBM Corporation
  • Google LLC
  • Basler AG
  • Tempus AI, Inc.
  • AiCure
  • iCAD, Inc.
  • SenseTime

Conclusion

In conclusion, the global computer vision in healthcare market is poised for rapid growth, driven by strong technological advancements, increasing AI adoption, and expanding applications across diagnostics, surgery, and patient monitoring. With substantial investments from leading technology providers and strong support from healthcare institutions and governments, computer vision is expected to play a critical role in shaping the future of healthcare delivery. As accuracy, efficiency, and patient outcomes continue to improve, the market is set to witness sustained expansion through 2030.

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