市場調查報告書
商品編碼
1481285
醫學影像分析軟體市場規模- 按軟體類型(整合、獨立)、模式(斷層掃描、超音波、放射線照相)、影像類型、應用(骨科、牙科、神經病學、心臟病學)、最終用戶和預測,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 |
由於人工智慧在全球的日益普及,醫學影像分析軟體市場規模預計在 2024 年至 2032 年間以 7% 的複合年成長率成長。影像分析軟體中的人工智慧演算法有助於提高診斷準確性、自動化影像解釋並實現高效的資料分析。例如,2023 年12 月,GE HealthCare 推出了一款新的人工智慧MRI 系統,該系統具有高效能,能夠達到患者舒適度的基準,並突出當前人工智慧和深度學習驅動的技術,以協助更快、更精確的掃描。醫療保健提供者正在利用此類人工智慧驅動的軟體進行 MRI、CT 和超音波等先進影像模式,以改善疾病檢測和治療計劃。人工智慧檢測細微異常、預測疾病進展和協助個人化醫療的能力正在推動市場成長。
醫學影像分析軟體產業分為軟體類型、模式、影像類型、應用程式、最終用戶和區域。
根據軟體類型,由於其靈活性和易用性,獨立細分市場的市場規模預計從2024 年到2032 年將實現7.3% 的複合年成長率,使醫療保健專業人員能夠在不依賴額外平台或系統的情況下分析醫學影像。醫療機構擴大採用獨立影像分析軟體,因為它在各種成像模式(例如 MRI、CT 和 X 光)中具有多功能性。此外,基於人工智慧的圖像解釋和 3D 視覺化等軟體功能的進步將推動該細分市場的成長。
在應用方面,神經病學領域的醫學影像分析軟體市場預計在2024年至2032年間將成長7.5%。 、阿茲海默症和中風。專注於神經病學的軟體提供了專門的工具,用於準確的大腦繪圖、病變檢測和大腦結構的定量分析。神經系統疾病盛行率的上升以及對精確診斷工具的需求不斷增加也將推動該細分市場的擴張。
從地區來看,由於該地區醫療保健基礎設施的不斷發展以及對先進醫學成像技術的需求不斷成長,亞太地區醫學影像分析軟體市場預計在 2024 年至 2032 年間呈現 7.2% 的複合年成長率。中國、日本和印度等主要國家正大力投資醫療保健 IT 解決方案,推動影像分析軟體的採用。慢性病的日益普及和人口老化進一步增加了對準確診斷工具的需求。此外,一些公司和政府正在採取措施促進醫療保健數位化,並推動基於人工智慧的解決方案在該地區的採用。
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.