市场调查报告书
商品编码
1623716
医疗诊断中的人工智慧市场规模、份额、成长分析,按组件、按模式、按应用、按最终用途、按地区 - 行业预测,2025-2032 年Artificial Intelligence In Medical Diagnostics Market Size, Share, Growth Analysis, By Component (Hardware, Software), By Modality (Imaging Modalities, Diagnostic Modalities), By Application, By End Use, By Region - Industry Forecast 2025-2032 |
2023年全球人工智慧医疗诊断市场规模为17亿美元,从2024年的21亿美元成长到2032年的114.4亿美元,预计复合年增长率为23.6%。
由于对准确诊断的需求不断增加、合格医疗保健专业人员的短缺以及慢性病患病率的增加,医疗诊断领域的人工智慧(AI)市场预计将显着增长。人工智慧软体和服务利用深度学习和先进演算法来增强诊断过程并识别危重疾病,减少诊断错误并减轻医务人员的负担。新兴经济体尚未开发的潜力以及促进创新和效率的跨行业伙伴关係关係的扩散进一步支持了市场扩张。随着医疗保健系统越来越多地采用人工智慧技术,对人工智慧驱动的诊断工具的需求预计将增长,为医疗技术领域的相关人员创造巨大的商机。
Global Artificial Intelligence In Medical Diagnostics Market size was valued at USD 1.7 billion in 2023 and is poised to grow from USD 2.10 billion in 2024 to USD 11.44 billion by 2032, growing at a CAGR of 23.6% during the forecast period (2025-2032).
The market for artificial intelligence (AI) in medical diagnostics is poised for substantial growth, driven by the rising need for accurate diagnoses, a shortage of qualified healthcare professionals, and the increasing prevalence of chronic diseases. AI software and services enhance diagnostic processes by leveraging deep learning and advanced algorithms to identify critical disorders, thereby reducing diagnostic errors and alleviating the burden on medical staff. The market's expansion is further supported by the untapped potential in emerging economies and a surge in cross-industry partnerships that foster innovation and efficiency. As healthcare systems increasingly adopt AI technologies, the demand for AI-driven diagnostic tools is expected to grow, presenting significant opportunities for stakeholders in the medical technology sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Medical Diagnostics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence In Medical Diagnostics Market Segmental Analysis
Global Artificial Intelligence In Medical Diagnostics Market is segmented by component, modality, application, end use and region. Based on component, the market is segmented into hardware, software and services. Based on modality, the market is segmented into imaging modalities and diagnostic modalities. Based on application, the market is segmented into in vivo diagnostics and in vitro diagnostics. Based on end use, the market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Artificial Intelligence In Medical Diagnostics Market
The Global Artificial Intelligence in Medical Diagnostics market is significantly driven by the increasing integration of Big Data into healthcare. As digitization and advanced information systems become commonplace, a vast array of complex data is generated throughout the care delivery process. This includes diverse sources such as medical device readings, patient interactions on digital platforms, and biometric records. The past decade has seen remarkable advancements in Big Data analytics, fueled by widespread adoption of electronic health records, digitized laboratory slides, and high-resolution imaging. Furthermore, the rise of bidirectional patient portals, enabling patients to contribute data to their electronic medical records, is set to enhance the data volume in medical diagnostics, thereby intensifying the need for AI-based solutions to efficiently manage these growing data streams.
Restraints in the Global Artificial Intelligence In Medical Diagnostics Market
The Global Artificial Intelligence in Medical Diagnostics market faces a notable restraint due to the skepticism surrounding AI accuracy among medical professionals. Despite advancements in digital health that equip doctors with innovative tools for patient care, many practitioners remain hesitant to embrace these technologies. A prevailing concern is the misconception that AI could replace physicians, undermining vital human skills such as empathy and persuasion. This hesitation is compounded by fears of patients becoming overly dependent on technology, potentially neglecting essential in-person care and disrupting established doctor-patient relationships. As a result, convincing healthcare providers of the safety, efficacy, and cost-effectiveness of AI solutions becomes a challenge. Nonetheless, as awareness of the benefits of AI in medical diagnostics grows, it is likely that acceptance of these technologies will increase among doctors and radiologists in the future.
Market Trends of the Global Artificial Intelligence In Medical Diagnostics Market
The Global Artificial Intelligence in Medical Diagnostics market is witnessing a significant upward trend as developers strive to create more human-aware AI systems that align closely with human cognitive processes. Despite facing challenges in building interactive, scalable machines and automating complex components, the increasing demand for advanced diagnostic tools drives innovation. The need for efficient interpretation and presentation of machine-learning outcomes fuels ongoing research, focusing on enhancing user experience and feedback mechanisms. Moreover, as healthcare providers seek improvements in diagnostic accuracy and operational efficiency, the market for AI-powered solutions is poised for substantial growth, presenting lucrative opportunities for developers and stakeholders alike.