市場調查報告書
商品編碼
1623716
醫療診斷中的人工智慧市場規模、佔有率、成長分析,按組件、按模式、按應用、按最終用途、按地區 - 行業預測,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年全球人工智慧醫療診斷市場規模為17億美元,從2024年的21億美元成長到2032年的114.4億美元,預計複合年成長率為23.6%。
由於對準確診斷的需求不斷增加、合格醫療保健專業人員的短缺以及慢性病患病率的增加,醫療診斷領域的人工智慧(AI)市場預計將顯著成長。人工智慧軟體和服務利用深度學習和先進演算法來增強診斷過程並識別危重疾病,減少診斷錯誤並減輕醫務人員的負擔。新興經濟體尚未開發的潛力以及促進創新和效率的跨行業夥伴關係關係的擴散進一步支持了市場擴張。隨著醫療保健系統擴大採用人工智慧技術,對人工智慧驅動的診斷工具的需求預計將成長,為醫療技術領域的相關人員創造巨大的商機。
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.