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市场调查报告书
商品编码
1301674
医学影像中的人工智能市场 - 按技术、临床应用、模式、终端用户分类,2023-2032年全球预测Artificial Intelligence in Medical Imaging Market - By Technology, Clinical Application, Modalities, End-user, Global Forecast 2023 - 2032 |
到2032年,全球人工智能在医学成像领域的市场规模将显著扩大。医学成像中的人工智能所提供的诊断准确性和治疗计划的改善,预计将为行业增长带来有利可图的机会。人工智能算法可以快速处理和分析大量的医学图像,大大减少了图像解释所需的时间。这加快了诊断过程,使医护人员能够及时做出决定并启动适当的治疗计划,有利于市场增长。
医学成像中的整体人工智能市场是根据模式、应用、终端用途和地区来分類的。
基于模式,计算机断层扫描(CT)部分的行业规模在2022年达到2.61亿美元以上。基于人工智能的计算机断层扫描图像的准确性和精确度的提高,增加了它们的需求。人工智能算法可以快速分析大量的CT图像,并提供自动测量、注释和定量数据。这加快了诊断工作流程,使放射科医生能够更有效地审查和解释CT扫描,支持细分市场增长。
基于应用,从2023年到2032年,肺部成像部分的行业份额将以显著的复合年增长率增长。对肺部疾病早期诊断的日益关注,增加了对基于人工智能的医疗成像系统的需求。人工智能算法可以分析医学成像数据,如胸部X射线或CT扫描,以确定肺部疾病的早期迹象。通过检测指示肺部疾病的细微异常或模式,人工智能系统可以帮助早期诊断,允许及时干预和改善病人的结果,促进产品的采用。
根据最终用途,诊断中心部分的行业价值将在2032年之前积累重大收益。诊断中心中先进的基于人工智能的医疗相机的高可用性正在促进该领域的增长。此外,随着患者对先进的基于人工智能的成像模式的认识不断提高,对常规诊断程序的需求不断增加,正在进一步为该领域的增长带来有利可图的机会。诊断中心数量的增长进一步增加了基于人工智能的医疗图像采集的频率。
从区域角度来看,亚太地区人工智能在医学成像市场的份额将在2023年至2032年以超过31%的年复合增长率增长。日益增长的数字化加上快速扩张的医疗基础设施正在促进区域增长。根据IBEF,印度的医疗技术行业有可能在2030年达到500亿美元。肺癌发病率的上升进一步促进了该地区对基于人工智能的医学成像模式的需求,以进行早期疾病诊断。
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.