Global Computer-Aided Imaging Market Size To Grow At 16.13% CAGR From 2024 to 2030

Global Computer-Aided Imaging Market Size (2024 - 2030)

As per our research report, Global Computer-Aided Imaging Market size is estimated to be growing at a CAGR of 16.13% from 2024 to 2030.

The Global Computer-Aided Imaging (CAI) market is experiencing rapid growth. This expansion is propelled by various factors, including the increasing prevalence of chronic diseases such as cancer, heart disease, and stroke, driving the need for accurate and efficient medical imaging procedures that CAI can enhance. The rising demand for more advanced CAI solutions, characterized by increased accuracy, speed, and user-friendliness, is a response to the imperative for improved patient outcomes and the escalating costs of healthcare. Additionally, a growing awareness of the importance of early cancer detection is fueling demand for CAI in cancer screening programs. The accessibility of CAI procedures through health insurance coverage is further contributing to market growth. Despite a temporary setback due to the impact of the COVID-19 pandemic on elective medical procedures, the CAI market is poised to rebound in the coming years as healthcare providers resume normal operations, emphasizing the crucial role of CAI in advancing patient care.

Siemens Healthineers achieved a significant milestone in March 2022 with the FDA approval of its AI-powered mammography system, Mammomat Revelation with AI. This innovative system integrates artificial intelligence to elevate image quality and detect subtle abnormalities, potentially leading to enhanced breast cancer detection rates. The approval marks a pivotal moment in Siemens Healthineers' contribution to advanced healthcare technology. With this FDA endorsement, the estimated market share for the AI-powered mammography system is anticipated to reach $0.5 billion, reflecting both the technological advancement and the potential positive impact on breast cancer diagnosis and patient outcomes.

The burgeoning interest in AI-powered Computer-Aided Imaging (CAI) technology is underscored by the noteworthy milestone of venture capital investment reaching $750 million in 2022. This substantial investment reflects a significant commitment to the development and innovation within the AI-powered CAI startup sector. The infusion of capital is serving to propel the advancement of new CAI solutions, marking a transformative phase in the evolution of this technology. With an estimated market share of $0.1 billion, this robust investment signals a promising trajectory for the growth and influence of AI-powered CAI startups in reshaping the landscape of imaging and diagnostics.

In a strategic collaboration announced in November 2021, GE Healthcare, a prominent global player in medical imaging solutions, joined forces with Optellum, a leader in AI decision support for early lung cancer diagnosis and optimal treatment. This partnership aims to advance precision diagnosis and treatment strategies for lung cancer. By leveraging GE Healthcare's expertise in medical imaging solutions and Optellum's cutting-edge AI technologies, the collaboration underscores a shared commitment to enhancing the accuracy and efficacy of lung cancer diagnostics. This alliance represents a significant step forward in the pursuit of innovative approaches to improve patient outcomes in the field of lung cancer diagnosis and treatment.


  • In the Computer-Aided Imaging Market, Mammography commands the largest segment with a substantial 40% market share, owing to its pivotal role in breast imaging and cancer screenings. Concurrently, Tomosynthesis emerges as the fastest-growing segment, holding 20% market share, driven by its technological advancements in providing three-dimensional breast images. The increasing adoption of tomosynthesis by healthcare professionals, seeking enhanced diagnostic capabilities, positions it as a key player shaping the market's evolution.

  • In the competitive landscape of the Computer-Aided Imaging Market, Siemens Healthineers and GE Healthcare emerge as the top two key players, collectively dominating a substantial portion of the market. Siemens Healthineers leads with a 20% market share, contributing significantly to the total market influence at 52.63%. Following closely, GE Healthcare holds an 18% market share, contributing 47.37% to the overall market share. These industry giants play pivotal roles in shaping the market dynamics, with Siemens Healthineers particularly exerting a notable impact, underscoring the competitive nature of the Computer-Aided Imaging Market.

  • Based on the conducted research, it is anticipated that cloud-based Computer-Aided Imaging (CAI) solutions could capture a substantial market share, potentially reaching up to 30% by 2025. This accelerated growth is propelled by various factors, including the convenience of global accessibility, scalability adaptable to healthcare organizations of all sizes, cost-effectiveness by eliminating the need for substantial hardware and software investments, enhanced security managed by experienced IT professionals, and the facilitation of compliance with regulatory requirements. Cloud-based CAI solutions emerge as a promising technology poised to revolutionize the medical field, with ongoing advancements expected to drive widespread adoption across healthcare organizations in the foreseeable future.

  • Mobile Computer-Aided Imaging (CAI) applications are catalyzing a transformative shift in healthcare by granting clinicians real-time access to image analysis tools directly at the point of care. This innovation enables immediate interpretation of medical images, facilitating faster diagnoses and more informed treatment decisions. The growing prevalence of mobile CAI applications empowers healthcare professionals to deliver timely and effective care, enhancing overall patient outcomes. This accessibility and immediacy in image analysis contribute significantly to the evolving landscape of healthcare, streamlining diagnostic processes and improving the efficiency of medical interventions.


By Imaging Modality:

  • Mammography

  • Tomosynthesis

  • X-Ray Imaging

  • Magnetic Resonance Imaging

  • Nuclear Medicine Imaging

  • Computed Tomography

  • Ultrasound Imaging

  • Others

By Application:

  • Oncology

    • Breast Cancer

    • Lung Cancer

    • Colon/ Rectal Cancer

    • Prostate Cancer

    • Liver Cancer

    • Bone Cancer

  • Neurological

  • Musculoskeletal

  • Cardiovascular

By End-User:

  • Hospitals

  • Diagnostic Centers

  • Research Centers

By Region

    • North America

    • Europe

    • Asia Pacific

    • Middle East and Africa

    • South America

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