市场调查报告书
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1481285
医学影像分析软体市场规模- 按软体类型(整合、独立)、模式(断层扫描、超音波、放射线照相)、影像类型、应用(骨科、牙科、神经病学、心臟病学)、最终用户和预测,2024 - 2032Medical Image Analysis Software Market Size - By Software Type (Integrated, Standalone), Modality (Tomography, Ultrasound, Radiographic), Imaging Type, Application (Orthopedics, Dental, Neurology, Cardiology), End-user & Forecast, 2024 - 2032 |
由于人工智慧在全球的日益普及,医学影像分析软体市场规模预计在 2024 年至 2032 年间以 7% 的复合年增长率增长。影像分析软体中的人工智慧演算法有助于提高诊断准确性、自动化影像解释并实现高效的资料分析。例如,2023 年12 月,GE HealthCare 推出了一款新的人工智慧MRI 系统,该系统具有高效能,能够达到患者舒适度的基准,并突出当前人工智慧和深度学习驱动的技术,以协助更快、更精确的扫描。医疗保健提供者正在利用此类人工智慧驱动的软体进行 MRI、CT 和超音波等先进影像模式,以改善疾病检测和治疗计划。人工智慧检测细微异常、预测疾病进展和协助个人化医疗的能力正在推动市场成长。
医学影像分析软体产业分为软体类型、模式、影像类型、应用程式、最终用户和区域。
根据软体类型,由于其灵活性和易用性,独立细分市场的市场规模预计从2024 年到2032 年将实现7.3% 的复合年增长率,使医疗保健专业人员能够在不依赖额外平台或系统的情况下分析医学影像。医疗机构越来越多地采用独立影像分析软体,因为它在各种成像模式(例如 MRI、CT 和 X 光)中具有多功能性。此外,基于人工智慧的图像解释和 3D 视觉化等软体功能的进步将推动该细分市场的成长。
在应用方面,神经病学领域的医学影像分析软体市场预计在2024年至2032年间将成长7.5%。 、阿兹海默症和中风。专注于神经病学的软体提供了专门的工具,用于准确的大脑绘图、病变检测和大脑结构的定量分析。神经系统疾病盛行率的上升以及对精确诊断工具的需求不断增加也将推动该细分市场的扩张。
从地区来看,由于该地区医疗保健基础设施的不断发展以及对先进医学成像技术的需求不断增长,亚太地区医学影像分析软体市场预计在 2024 年至 2032 年间呈现 7.2% 的复合年增长率。中国、日本和印度等主要国家正大力投资医疗保健 IT 解决方案,推动影像分析软体的采用。慢性病的日益普及和人口老化进一步增加了对准确诊断工具的需求。此外,一些公司和政府正在采取措施促进医疗保健数位化,并推动基于人工智慧的解决方案在该地区的采用。
Medical Image Analysis Software Market size is poised to grow at 7% CAGR between 2024 and 2032, attributed to the growing adoption of AI worldwide. AI algorithms in image analysis software help enhance diagnostic accuracy, automate image interpretation, and enable efficient data analysis. For instance, in December 2023, GE HealthCare launched a new AI-enabled MRI system for enabling high performance to bore the benchmark for patient comfort and highlight current AI and deep learning-driven technologies to assist quicker and more precise scans. Healthcare providers are leveraging such AI-powered software for advanced imaging modalities like MRI, CT, and ultrasound to improve disease detection and treatment planning. The ability of AI to detect subtle abnormalities, predict disease progression, and assist in personalized medicine is driving the market growth.
The medical image analysis software industry is segmented into software type, modality, imaging type, application, end-user, and region.
Based on software type, the market size from the standalone segment is anticipated to attain 7.3% CAGR from 2024-2032 owing to its flexibility and ease of use, allowing healthcare professionals to analyze medical images without relying on additional platforms or systems. Healthcare facilities are increasingly adopting standalone image analysis software for its versatility in various imaging modalities, such as MRI, CT, and X-ray. Additionally, advancements in software capabilities, such as AI-based image interpretation and 3D visualization will propel the segment growth.
In terms of application, the medical image analysis software market from the neurology segment is projected to witness 7.5% growth rate between 2024 and 2032. Advanced image analysis software plays a crucial role in the diagnosis and treatment planning of neurological disorders, such as brain tumors, Alzheimer's disease, and stroke. Neurology-focused software offers specialized tools for accurate brain mapping, lesion detection, and quantitative analysis of brain structures. The rising prevalence of neurological conditions and the increasing demand for precise diagnostic tools will also fuel the segment expansion.
Regionally, the Asia Pacific medical image analysis software market is set to exhibit 7.2% CAGR between 2024 and 2032 driven by the increasing healthcare infrastructure development and the rising demand for advanced medical imaging technologies across the region. Major countries like China, Japan, and India are investing heavily in healthcare IT solutions, driving the adoption of image analysis software. The growing prevalence of chronic diseases and the aging population are further boosting the demand for accurate diagnostic tools. Additionally, several companies and governments are taking initiatives to promote digitization in healthcare and drive the adoption of AI-based solutions in the region.