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市場調查報告書
商品編碼
1301674
醫學影像中的人工智慧市場 - 按技術、臨床應用、模式、終端用戶分類,2023-2032年全球預測Artificial Intelligence in Medical Imaging Market - By Technology, Clinical Application, Modalities, End-user, Global Forecast 2023 - 2032 |
到2032年,全球人工智慧在醫學成像領域的市場規模將顯著擴大。醫學成像中的人工智慧所提供的診斷準確性和治療計劃的改善,預計將為行業成長帶來有利的機會。人工智慧算法可以快速處理和分析大量的醫學圖像,大幅減少圖像解釋所需的時間。這加快了診斷過程,使醫護人員能夠及時做出決定並啟動適當的治療計劃,有利於市場成長。
醫學成像中的整體人工智慧市場是根據模式、應用、終端用途和地區來分類的。
基於模式,電腦斷層掃描(CT)部分的行業規模在2022年達到2.61億美元以上。基於人工智慧的電腦斷層掃描圖像的準確性和精確度的提高,增加了它們的需求。人工智慧算法可以快速分析大量的CT圖像,並提供自動測量、註釋和定量資料。這加快了診斷工作流程,使放射科醫生能夠更有效地審查和解釋CT掃描,支援細分市場成長。
基於應用,從2023年到2032年,肺部成像部分的行業佔有率將以顯著的年複合成長率成長。對肺部疾病早期診斷的日益關注,增加了對基於人工智慧的醫療成像系統的需求。人工智慧算法可以分析醫學成像資料,如胸部X光或CT掃描,以確定肺部疾病的早期跡象。透過檢測指示肺部疾病的細微異常或模式,人工智慧系統可以幫助早期診斷,允許及時干涉和改善病人的結果,促進產品的採用。
根據最終用途,診斷中心部分的行業價值將在2032年之前積累重大收益。診斷中心中先進的基於人工智慧的醫療相機的高可用性促進該領域的成長。此外,隨著患者對先進的基於人工智慧的成像模式的認知不斷提高,對常規診斷程序的需求不斷增加,進一步為該領域的成長帶來有利的機會。診斷中心數量的成長進一步增加了基於人工智慧的醫療圖像採集的頻率。
從區域角度來看,亞太地區人工智慧在醫學成像市場的佔有率將在2023年至2032年以超過31%的年複合成長率成長。日益成長的數位化加上快速擴張的醫療基礎設施促進區域成長。根據IBEF,印度的醫療技術行業有可能在2030年達到500億美元。肺癌發病率的上升進一步促進了該地區對基於人工智慧的醫學成像模式的需求,以進行早期疾病診斷。
Global AI in Medical Imaging Market size will expand significantly through 2032. Improved diagnostic accuracy and treatment planning provided by AI in medical imaging are expected to generate lucrative opportunities for industry growth. AI algorithms can rapidly process and analyze large volumes of medical images, significantly reducing the time required for image interpretation. This expedites the diagnostic process, allowing healthcare professionals to make timely decisions and initiate appropriate treatment plans, favoring market growth.
The overall AI in medical imaging market is divided based on modality, application, end-use, and region.
Based on the modality, the industry size from the computed tomography (CT) segment reached over USD 261 million in 2022. Improved accuracy and precision of AI-based computed tomography images have increased their demand. AI algorithms can quickly analyze large volumes of CT images and provide automated measurements, annotations, and quantitative data. This expedites the diagnostic workflow, allowing radiologists to review and interpret CT scans more efficiently, supporting segment growth.
Based on the application, industry share from the lung imaging segment will grow at a notable CAGR from 2023 to 2032. Growing focus on early diagnosis of lung diseases has increased the demand for AI-based medical imaging systems. AI algorithms can analyze medical imaging data, such as chest X-rays or CT scans, to identify early signs of lung disorders. By detecting subtle abnormalities or patterns indicative of lung diseases, AI systems can aid in early diagnosis, allowing for timely interventions and improved patient outcomes, fostering product adoption.
Based on the end-use, industry value from the diagnostic centers segment will amass significant gains through 2032. High availability of advanced AI-based medical cameras in diagnostic centers is contributing to segment growth. Moreover, the growing demand for routine diagnostic procedures, in line with rising patient awareness about advanced AI-based imaging modalities, is further generating lucrative opportunities for segment growth. Growing number of diagnostic centers has further increased the frequency of AI-based medical image acquisitions.
From the regional standpoint, Asia Pacific AI in medical imaging market share will grow at over 31% CAGR from 2023 to 2032. Growing digitalization coupled with rapidly expanding healthcare infrastructure is contributing to regional growth. As per IBEF, India's MedTech industry has the potential to reach USD 50 billion by 2030. Surging prevalence of lung cancer has further bolstered the demand for AI-based medical imaging modalities in the region for early disease diagnosis.