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市场调查报告书
商品编码
1800776
2025 年至 2033 年医疗保健市场人工智慧报告(按产品、技术、应用、最终用户和地区)Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End-User, and Region 2025-2033 |
2024年,全球医疗保健领域人工智慧市场规模达78亿美元。展望未来, IMARC Group预计到2033年,该市场规模将达到687亿美元,2025-2033年期间的复合年增长率(CAGR)为26.04%。个人化医疗需求的不断增长、远端患者监控设施的日益普及,以及用于分析医学影像、检测异常和有效预测患者预后的机器学习(ML)技术的不断进步,是推动市场发展的主要因素。
慢性病盛行率上升
目前,由久坐不动的生活方式(例如久坐、缺乏运动和不健康的饮食习惯)引起的慢性病发病率正在上升。这些生活方式因素导致了肥胖、糖尿病和心血管疾病等疾病的出现。例如,根据美国卫生与公众服务部的数据,美国约有1.29亿人患有至少一种严重的慢性病(例如心臟病、癌症、糖尿病、肥胖或高血压)。慢性病的增加也推高了住院率,并催生了对结合人工智慧的有效治疗方法的需求。医疗保健领域的人工智慧正在改善各种慢性疾病的筛检和检测流程。这些因素进一步对医疗保健领域人工智慧市场的预测产生了积极影响。
个人化医疗需求不断成长
个人化医疗日益增长的需求正在推动市场成长。例如,2023年全球精准医疗市场规模达752亿美元。展望未来, IMARC Group预计到2032年,该市场规模将达到1,683亿美元,2024-2032年期间的复合年增长率(CAGR)为9.1%。精准医疗旨在根据个人基因、环境和生活方式等因素量身定制治疗方案。人工智慧可以分析海量基因资料,并识别出能够提供更精准、个人化治疗建议的模式。预计这些因素将在未来几年推动人工智慧在医疗保健市场的成长。
远端病人监控
远距病人监护使个人能够在舒适的家中追踪自身健康状况,无需频繁前往医疗机构。这减少了出行、候诊室和其他医疗相关不便,从而提高了患者满意度。它提高了医疗服务的可及性,尤其对于偏远或医疗服务匮乏地区的患者而言,使患者无论身在何处都能联繫医疗服务提供者并获得高品质的照护。例如,2024 年 7 月,总部位于乔治亚州的物联网 (IoT) 公司 KORE 和澳洲公司 mCare Digital 推出了虚拟病人监护智慧手錶 mCareWatch 241。这款手錶包含一个 SOS 按钮,允许用户请求紧急援助,此外还具备通话功能、GPS 追踪、提醒功能、心率监测器、快速拨号、跌倒侦测、计步器、地理围栏警报、非运动侦测以及行动应用程式和网页控制面板,从而提升了医疗保健市场中人工智慧的收入。
The global artificial intelligence in healthcare market size reached USD 7.8 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 68.7 Billion by 2033, exhibiting a growth rate (CAGR) of 26.04% during 2025-2033. The growing demand for personalized medications, rising popularity of remote patient monitoring facilities, and increasing advancements in machine learning (ML) techniques for analyzing medical images, detecting anomalies, and predicting patient outcomes efficiently are some of the major factors propelling the market.
Rising Prevalence of Chronic Illnesses
Presently, there is a rise in the prevalence of chronic illnesses caused by inactive lifestyles, such as prolonged sitting, decreased physical activity, and unhealthy eating habits. These lifestyle factors contribute to the emergence of conditions like obesity, diabetes, and cardiovascular diseases. For instance, according to the U.S. Department of Health and Human Services, around 129 million people in the United States have at least one significant chronic disease (for example, heart disease, cancer, diabetes, obesity, or hypertension). The increase in chronic diseases is also driving hospitalization rates and the demand for effective treatment methods by incorporating AI. AI in healthcare is improving the screening process and detection of various chronic disorders. These factors further positively influence artificial intelligence in healthcare market forecast.
Growing Demand for Personalized Medicines
The growing demand for personalized medicine is driving the market's growth. For instance, the global precision medicine market size reached US$ 75.2 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 168.3 Billion by 2032, exhibiting a growth rate (CAGR) of 9.1% during 2024-2032. Precision medicine aims to tailor treatments based on individual genetic, environmental, and lifestyle factors. AI can analyze vast amounts of genetic data and identify patterns that lead to more accurate and personalized treatment recommendations. These factors are expected to propel artificial intelligence in healthcare market growth in the coming years.
Remote Patient Monitoring
Remote patient monitoring enables individuals to track their health from the comfort of their own homes, eliminating the need for frequent trips to healthcare facilities. This limits the inconvenience of travel, waiting rooms, and other healthcare-related inconveniences, leading to improved patient satisfaction. It enhances healthcare accessibility, particularly for those in remote or underserved areas, allowing patients to connect with healthcare providers and receive high-quality care regardless of their location. For instance, in July 2024, KORE, a Georgia-based Internet of Things (IoT) firm, and Australian company mCare Digital unveiled the mCareWatch 241, a virtual patient monitoring smartwatch. The watch includes an SOS button that allows users to request emergency assistance, call capabilities, GPS tracking, reminders, a heart rate monitor, speed dialing, fall detection, a pedometer, a geo-fence alarm, non-movement detection, and a mobile app and web dashboard, and thereby boosting the artificial intelligence in healthcare market revenue.
Software dominates the market
According to the artificial intelligence in healthcare market outlook, software associated with AI in healthcare comprises electronic health record (EHR) systems, imaging analysis software, clinical decision support systems (CDSS), and natural language processing (NPL) tools. They digitally store and manage patient health records and analyze and extract valuable insights from the vast amount of patient data, facilitating decision-making, personalized treatment planning, and clinical research. They utilize computer vision and machine learning (ML) algorithms to assist radiologists in detecting abnormalities, making diagnoses, and providing quantitative measurements. They can extract relevant information, classify and categorize text, and enable voice-to-text transcription. They also enable continuous monitoring of vital signs, activity levels, and other health parameters to predict health deterioration and alert healthcare providers in real-time.
Machine learning holds the largest share in the market
Machine learning (ML) algorithms are employed to analyze patient data, such as electronic health records (EHR), medical imaging, and genetic information, to assist in disease diagnosis and prognosis. These algorithms identify patterns, classify diseases, and predict patient outcomes, aiding healthcare professionals in making accurate and timely decisions. They are capable of detecting abnormalities, segmenting organs and tumors, and assisting radiologists in interpreting images. ML-based image analysis improves diagnostic accuracy, reduces interpretation time, and enhances early detection of diseases. ML models also predict patient outcomes by analyzing large datasets, including clinical records, genomic data, and lifestyle factors. Furthermore, they can analyze EHR to uncover valuable insights, such as disease trends, treatment patterns, and population health indicators.
Clinical trial participant identifier holds the biggest share in the market
A clinical trial participant identifier is assigned to individuals enrolled in a clinical trial to protect their privacy and confidentiality. It is used instead of personal identifying information (such as name or social security number) to ensure anonymity and protect the identity of participants. It helps ensure data integrity and security in clinical trials. By using identifiers instead of personal information, the potential for data errors or inconsistencies due to human error or data entry mistakes is reduced. It also helps protect sensitive information from being inadvertently disclosed or misused.
Pharmaceutical and biotechnology companies hold the maximum share in the market
Pharmaceutical and biotechnology companies are embracing the use of AI due to its transformative potential across various aspects of their operations. AI offers unprecedented opportunities to revolutionize drug discovery and development processes by leveraging data-driven approaches and computational modeling. Through AI algorithms, these companies can analyze vast amounts of biological and chemical data to identify potential drug targets, predict drug activity, and optimize drug design, significantly speeding up the traditionally time-consuming and expensive drug development pipeline. Additionally, AI enables precision medicine by leveraging patient data, genomics, and clinical records to develop personalized treatment approaches. AI algorithms can identify biomarkers or genetic variations associated with disease susceptibility and treatment response, allowing for targeted therapies and patient subgroup identification.
North America exhibits a clear dominance, accounting for the largest artificial intelligence in healthcare market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
North America held the biggest market share since the region has an efficient medical infrastructure. Moreover, the rising occurrence of various chronic disorders among the masses is contributing to the growth of the market. For instance, in 2018, more than half (51.8%) of adults had at least one of ten diagnosed chronic conditions (arthritis, cancer, chronic obstructive pulmonary disease, coronary heart disease, current asthma, diabetes, hepatitis, hypertension, stroke, and weak or failing kidneys), while 27.2% of U.S. adults had multiple chronic conditions. Another contributing aspect is the growing adoption of robust technology infrastructure, including advanced computing capabilities, cloud computing resources, and data storage capacities in the healthcare sector.
Key market players are investing in research operations to improve their AI capabilities. They are also allocating significant resources to develop new algorithms, models, and platforms that can enhance the accuracy, efficiency, and effectiveness of AI applications in healthcare. Top companies are expanding and diversifying their product portfolios to meet evolving market needs. They are also developing and launching new AI-powered solutions and platforms for various healthcare domains, including diagnostic imaging, clinical decision support, remote patient monitoring, genomics, and drug discovery. Leading companies are focusing on strategic partnerships and collaborations to enhance their market reach, access new customer segments, and leverage complementary technologies.