Medical Image Analysis Software Market Assessment, By Software Type [Integrated Software, Stand-alone Software], By Modality [Tomography, Ultrasound Imaging, Radiographic Imaging, Combined Modalities, Mammography], By Imaging Type [2D Imaging, 3D Imaging,

Medical Image Analysis Software Market Assessment, By Software Type [Integrated Software, Stand-alone Software], By Modality [Tomography, Ultrasound Imaging, Radiographic Imaging, Combined Modalities, Mammography], By Imaging Type [2D Imaging, 3D Imaging, 4D Imaging], By Application [Orthopedic, Dental, Neurology, Cardiology, Oncology, Obstetrics and Gynecology, Mammography, Urology and Nephrology], By End-user [Hospitals, Diagnostic Centers, Ambulatory Surgical Centers, Others], By Region, Opportunities and Forecast, 2017-2031F

Global medical image analysis software market is projected to witness a CAGR of 7.6% during the forecast period 2024-2031F, growing from USD 3.67 billion in 2023 to USD 6.59 billion in 2031F. Medical image analysis software is in high demand as the medical imaging and diagnostics market grows rapidly. Healthcare professionals, especially radiologists, are recognizing the potential of computer-based diagnostic analysis, driving a boost in the demand for such software.

The images generated by various diagnostics modalities need to be analyzed further for clinical investigation, human error or ignorance sometimes may lead to wrong diagnoses and adverse clinical outcomes. Medical image analysis software combined with the expertise of healthcare professionals brings out the best clinical outcomes. The growing global disease burden increases diagnostic requirements and subsequently drives the growth of the global medical image analysis software market. Technical advancements in software services and medical imaging devices along with the integration of artificial intelligence and machine learning in software algorithms have significantly helped in the growth of the market. However, lack of funds for sophisticated instrumentation and software purchase due to their high pricing is one of the major constraints for market development. Lack of skilled professionals to handle the analysis and interpret proper clinical outcomes is another challenge for the market expansion.

In May 2023, GE HealthCare announced US FDA 510(k) approval of Precision DL, a novel deep learning-based image processing software. It is included in the growing portfolio of GE HealthCare’s Effortless Recon DL. Precision. This AI-based technology is integrated with the company’s fastest-ever-selling PET/CT, Omni Legend. Omni Legend already enhances the sensitivity of prior digital scanners and impressive small lesion detectability, enabling faster scan times. The availability of both Omni Legend and Precision DL, marks third generation sensitivity era of PET/CT scans.

Growing Demand for Precision Diagnostics

The demand for diagnostic services and products is significantly rising under the influence of growing disease burden, rising geriatric population, growing demand for rapid diagnostics, and many more factors. The incidence and prevalence rate of chronic diseases have risen significantly in recent years marking the rise in medical imaging procedures being performed. The rising population of elders globally subsequently contributes to the higher number of medical imaging tests being performed. The rise in lifestyle-associated diseases further drives the market.

For instance, as per Diagnostic Imaging Dataset Statistical Release, published by NHS England in May 2023, around 43.4 million imaging tests were performed in England in a year between February 2022 to January 2023. Out of these, 3.41 million imaging tests were performed in January 2023, which constitutes Plain Radiography (X-ray-1.65 million), followed by Diagnostic Ultrasonography (0.81 million), Computerized Axial Tomography (CT Scan, 0.52 million), and Magnetic Resonance Imaging (MRI, 0.31 million).

Technical Advances in Medical Imaging

Medical imaging witnessed several advances in recent years such as advanced signal processing, sensor fusion, artificial intelligence, and deep learning, to enhance accuracy and precision in diagnoses. The image analysis software is being enabled to integrate AI and machine learning algorithms for better clinical investigations. The evolution in cloud-based software has enabled low-cost operation and extended the flexibility and reliability of medical image analysis software. Manufacturers are constantly evolving with innovative solutions to enhance market growth.

For instance, in March 2024, Radical Imaging LLC announced the launch of its new product, FlexView which is a professionally supported, cloud-based universal medical imaging viewer, based on Open Health Imaging Foundation framework. The software is of commercial grade and can be incorporated easily into any medical imaging system, providing the capabilities of viewing and analyzing for almost all type of medical image or workflow. The cloud-based feature enables the workflow from anywhere without the need of installing any software and up-front investment or IT support. Radical Imaging is collaborating with AWS HealthImaging, NVIDIA, and Medicai, to ensure FlexView to be the most versatile and highest-performing cloud-based medical imaging software in the market.

Dominance of Integrated Software Segment

The integrated software segment is anticipated to hold the dominant position in the market with the highest value share and CAGR. The integrated software is extensively preferred over standalone software due to its wide array of advantages which includes reduction in efforts of manual data entry, improved communication between instruments and operator, reduction in reliance over tech department for assistance, and several other reasons. As multiple systems require more data handling and updating, it can be minimized by using integrated software. It enhances the automation in workflow by avoiding separate handling of devices. Thus, service providers are actively innovating new software and a variety of integrations in medical imaging instruments.

Cardiology to Lead Amongst the Applications

The share of cardiology segment based on application, is anticipated to dominate the global medical image analysis software market during the assessment period. It is due to high incidence of cardiology disorders occurring these days, owing to improper food habits, smoking, and drinking, and congenital reasons. The leading market region, North America, has a very high prevalence rate of cardiac conditions, and market players are introducing various AI-enabled diagnostic solutions to predict and diagnose underlying causes of cardiac disease. For instance, in June 2023, GE HealthCare launched a novel technology that cuts MRI heart scans by up to 83%. GE HealthCare is handling the limitations of cardiac magnetic resonance imaging (MRI) testing through its novel deep learning-based product ‘Sonic DL’. The proposed technology is expected to scan up to 12 times faster than currently available means of examinations.

Asia-Pacific to be the Fastest Growing Region

With the presence of fastest growing economies, Asia-Pacific is anticipated to grow at a very fast pace with highest CAGR during the forecast period, owing to higher rate of adoption for medical imaging and associated software along with AI integration. The growing awareness about the efficacy of these products and solutions further boosts their demand in the market. Developing healthcare infrastructure and diagnostics facilities and rising disposable income of individuals in the region are chief reasons for faster growth rate of the region.

For instance, in September 2023, Fujitsu Limited and iSurgery Co., Ltd. announced a field trial from October 2023 to March 2025 for their “bone health promotion project” under their collaboration with the Department of Orthopaedic Surgery at Jikei University School of Medicine. The initiative aims to assess the feasibility of utilizing chest radiographs for bone assessments and evaluate the impact on Fujitsu employees' health attitudes and behaviors. During the trial, the project team will employ iSurgery's AI medical device, and the Chest Bone Indicator, which is a medical image analysis software to analyze bone health from chest radiographs and communicate the examination results to Fujitsu Group employees. Recommendations for further evaluation by medical specialists will be made based on these assessments.

Future Market Scenario

The future of medical image analysis software market comes with advancements driven by artificial intelligence and deep learning algorithms. These technologies have significantly enhanced the accuracy and efficiency of medical image analysis, thus, enabling rapid and accurate detection of abnormalities across various imaging modalities such as MRI, PET, ultrasound, X-rays, CT scans, and more. AI-based diagnostic tools speed up the interpretation of complex images and enhance early disease detection, leading to better clinical outcomes. Deep learning models, particularly convolutional neural networks (CNNs), play a crucial role in automating and accurately analyzing intricate imaging data, revolutionizing medical image analysis. For instance, in April 2023, Medical artificial intelligence solution provider Vuno received the US patent for its AI-based medical image analysis technology which contains VUNO Med chest CT AI (VUNO Med -Lung CT AI and VUNO Med DeepBrain (VUNO Med-Deep Brain). The patent is approved under the title “method of assisting visualization of lesions in medical images and a device using them.”

Key Players Landscape and Outlook

The medical image analysis software market includes some of the well-established global players and tons of local players and startups present in the market scenario to cater to the market needs. These firms are employing strategic product developments, collaborations, and other market tactics to expand their offerings and cater to the growing market needs.

In December 2023, AiOne Healthcare Technologies Ltd announced a strategic partnership with DeepTek.ai, which is a leading United States-based AI technology company. The collaboration aims to launch DeepTek’s AI-powered medical imaging analysis software to the United Kingdom market, further, enhancing diagnostic accuracy and workflow for healthcare professionals. DeepTek.ai is a medical imaging AI company involved in the development of AI-powered solutions for radiologists. Augmento is DeepTek’s flagship product, which is a US FDA Cleared AI-powered radiology orchestration platform. Augmento is capable of automating routine tasks, streamlining workflow, and providing real-time insights to radiologists. The platform has been proven to enhance diagnostic accuracy by up to 20% and reduce turnaround time by up to 50%.

In January 2024, GE HealthCare announced an agreement to acquire MIM Software. MIM Software is a global leader providing medical imaging analysis and artificial intelligence (AI) solutions for various practice of radiation oncology, diagnostic imaging, molecular radiotherapy, and urology at healthcare settings such as hospitals, specialty clinics, imaging centers, and research organizations. GE HealthCare aims to utilize MIM Software’s imaging analytics and digital workflow capabilities to accelerate innovation and differentiate its solutions across various care areas for the benefit of patients and healthcare systems globally.