到2030年，医疗保健市场的人工智能（AI）价值将达到1106.1亿美元，复合年增长率为38.6% MarketsandMarkets™-动脉网

Artificial Intelligence (AI) in Healthcare Market worth US$110.61 billion by 2030 with 38.6% CAGR | MarketsandMarkets™

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DELRAY BEACH, Fla.

佛罗里达州德尔雷海滩

，

May 9, 2025

2025年5月9日

/PRNewswire/ -- The global

/PRNewswire/ -- 全球

Artificial Intelligence (AI) in Healthcare Market

医疗保健市场中的人工智能（AI）

, valued at

，价值

US$14.92 billion

149.2亿美元

in 2024, is forecasted to grow at a robust CAGR of 38.6%, reaching

在2024年，预计将以38.6%的强劲复合年增长率增长，达到

US$21.66 billion

216.6亿美元

in 2025 and an impressive

2025年，而且令人印象深刻的是

US$110.61billion

1106.1亿美元

by 2030. The growing incidence of chronic diseases, linked with an increasing geriatric population, puts substantial financial pressure on healthcare providers. There is a rising need for the early detection of conditions such as dementia and cardiovascular disorders. This can be done by analysing imaging data to recognize patterns, which helps create personalized treatment plans. .

到2030年，慢性病的发病率不断上升，加之老年人口的增加，给医疗服务提供者带来了巨大的财务压力。对于痴呆症和心血管疾病等疾病的早期检测需求日益增长。这可以通过分析影像数据来识别模式，从而有助于制定个性化的治疗方案。

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Artificial Intelligence (AI) in Healthcare Market

医疗保健市场中的人工智能（AI）

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61 - 数字

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By tools,

通过工具，

the Artificial Intelligence (AI) in healthcare market for machine learning has been bifurcated into deep learning, supervised learning, reinforcement learning, unsupervised learning, and other machine learning technologies. The deep learning segment accounted for the largest share of the Artificial Intelligence (AI) in healthcare market in 2024.

医疗保健市场中用于机器学习的人工智能（AI）已分为深度学习、监督学习、强化学习、无监督学习和其他机器学习技术。深度学习部分在2024年占据了医疗保健市场中人工智能（AI）的最大份额。

The capability to process vast amounts of unstructured medical data, such as electronic health records (HER), imaging, and genomics, allows accurate disease diagnosis and prediction. The integration of deep learning into healthcare is significantly boosting the AI in healthcare market, leading to substantial investments in diagnostic tools and predictive analytics.

处理大量非结构化医疗数据（如电子健康记录 (HER)、影像和基因组学）的能力可以实现准确的疾病诊断和预测。深度学习在医疗保健领域的整合正在显著推动医疗保健市场的人工智能发展，导致诊断工具和预测分析方面的大量投资。

As computational power and data availability continue to increase, deep learning is set to unlock further advancements, solidifying its position as a key enabler of next-generation healthcare technologies..

随着计算能力的提升和数据可用性的增加，深度学习将迎来更多进展，进一步巩固其作为下一代医疗技术关键推动者的重要地位。

By end user,

按最终用户，

the AI in healthcare market is segmented into healthcare providers, healthcare payers, patients, and other end users. In 2024, healthcare providers accounted for the largest share of the AI in healthcare market. The large share of this end-user segment can be attributed to the increasing budgets of hospitals to improve the quality of care provided and reduce the cost of care..

医疗保健市场中的人工智能按医疗服务提供者、医疗支付者、患者和其他最终用户进行细分。2024年，医疗服务提供者占据了医疗保健市场中人工智能的最大份额。这一最终用户细分市场的较大份额可归因于医院不断增加预算以提高护理质量并降低护理成本。

By geography,

按地理，

the Artificial Intelligence (AI) in healthcare market is segmented into five main regions:

医疗保健市场中的人工智能（AI）分为五个主要地区：

North America

北美

，

Europe

欧洲

，

Asia Pacific

亚太地区

，

Latin America

拉丁美洲

, and the

，以及

Middle East

中东地区

Africa

非洲

. The

。这个

Asia Pacific

亚太地区

region is projected to see a substantial growth rate during the forecast period. The

该地区在预测期内预计将出现显著的增长率。

Asia Pacific

亚太地区

(APAC) region is experiencing substantial growth in adopting AI technologies within the healthcare sector, driven by a combination of demographic shifts, technological advancements, and increased investments in innovation. The rising elderly population in the region is a key factor, with the proportion of individuals aged 65 years and above increasing significantly.

亚太地区（APAC）在医疗保健领域采用人工智能技术方面正经历显著增长，这一趋势受到人口结构变化、技术进步以及对创新投资增加的共同推动。该地区老年人口的增加是一个关键因素，65岁及以上人口的比例显著上升。

The demand for advanced healthcare solutions has surged as the aging population faces chronic and age-related conditions, necessitating efficient diagnostic, monitoring, and treatment tools. AI technologies are being integrated into various healthcare applications, including predictive analytics, telemedicine, medical imaging, and patient management systems.

随着老龄化人口面临慢性病和与年龄相关的疾病，对先进医疗解决方案的需求激增，这使得高效的诊断、监测和治疗工具成为必要。人工智能技术正被整合到各种医疗应用中，包括预测分析、远程医疗、医学影像和患者管理系统。

These innovations aim to address gaps in healthcare access, improve diagnostic accuracy, and streamline operations across the region..

这些创新旨在解决医疗保健获取方面的差距，提高诊断准确性，并简化整个地区的运营。

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The prominent players operating in the Artificial Intelligence (AI) in healthcare market include Koninklijke Philips N.V. (

在医疗保健市场的人工智能（AI）领域中，主要的参与者包括皇家飞利浦电子公司（Koninklijke Philips N.V.）。

Netherlands

荷兰

), Microsoft Corporation (US), Siemens Healthineers AG (

），微软公司（美国），西门子医疗集团（

Germany

德国

), NVIDIA Corporation (US), Epic Systems Corporation (US), GE Healthcare (US), Medtronic (US), Oracle (US), Veradigm LLC (US), Merative (IBM) (US), Google (US), Cognizant (US), Johnson & Johnson (US), Amazon Web Services, Inc. (US), among others. These companies adopted strategies such as product launches, product updates, expansions, partnerships, collaborations, mergers, and acquisitions to strengthen their market presence in the Artificial Intelligence (AI) in healthcare market..

），英伟达公司（美国）、Epic Systems公司（美国）、GE医疗（美国）、美敦力（美国）、甲骨文（美国）、Veradigm LLC（美国）、Merative（IBM）（美国）、谷歌（美国）、高知特（美国）、强生（美国）、亚马逊网络服务公司（美国）等。这些公司采用了产品发布、产品更新、扩展、合作伙伴关系、协作、并购等策略，以加强其在医疗保健领域的人工智能（AI）市场中的地位。

Koninklijke Philips N.V. (

皇家飞利浦公司 (

Netherlands

荷兰

)

Koninklijke Philips N.V. is a leading player in the AI in the healthcare market. The company utilizes AI to deliver innovative tools across various areas, including diagnostic imaging, patient monitoring, and precision medicine. Its advanced AI-driven platforms, such as the Philips HealthSuite, facilitate the integration and analysis of extensive clinical data, which supports personalized treatment plans and improves patient outcomes.

皇家飞利浦公司是医疗保健市场中人工智能领域的领先者。该公司利用人工智能在诊断成像、患者监测和精准医疗等多个领域提供创新工具。其先进的AI驱动平台（如飞利浦HealthSuite）有助于整合和分析大量临床数据，支持个性化治疗方案并改善患者预后。

Philips focuses on organic and inorganic growth strategies to expand its market presence..

飞利浦专注于有机和无机增长战略以扩大其市场影响力。

Strategic partnerships in high-potential markets and collaborations have been the key growth strategies of the company over the years. For example, in

多年来，公司在高潜力市场的战略合作伙伴关系和合作一直是公司增长战略的关键。例如，在

February 2025

2025年2月

, Philips partnered with Medtronic to educate and train cardiologists and radiologists in

，飞利浦与美敦力合作，教育和培训心脏病学家和放射科医生在

India

印度

on advanced imaging techniques for structural heart diseases. This partnership aims to upskill 300+ clinicians in multi-modality imaging such as echocardiography (echo) and Magnetic Resonance Imaging (MRI), especially for End-Stage Renal Disease (ESRD) patients. In

关于结构性心脏病的先进成像技术。该合作旨在提升300多名临床医生在多模式成像技术方面的能力，例如超声心动图（echo）和磁共振成像（MRI），特别是针对终末期肾病（ESRD）患者。在

November 2023

2023年11月

, Philips and NYU Langone Health partnered to focus on patient safety and outcomes. This partnership integrated innovative health technologies, including digital pathology, clinical informatics, and AI-enabled diagnostics, enabling real-time collaboration among clinicians. The company also focuses on winning contracts across several companies in the healthcare space.

Philips与纽约大学朗格尼健康中心合作，重点关注患者安全和治疗效果。这项合作融合了创新的健康技术，包括数字病理学、临床信息学和人工智能诊断，使临床医生能够实时协作。该公司还专注于赢得医疗领域多家公司的合同。

This helps the company expand its footprint. For instance, in .

这有助于公司扩大其业务范围。例如，在。

September 2022

2022年9月

, Philips and Mandaya Royal Hospital Puri (MRHP) in

，飞利浦和曼达亚皇家医院普里（MRHP）在

Jakarta

雅加达

underwent a digital transformation in a strategic partnership, enhancing patient-centered care and healthcare services.

在战略合作中经历了数字化转型，提升了以患者为中心的护理和医疗服务。

Microsoft

微软

Corporation (US):

公司（美国）：

Microsoft Corporation is one of the leading providers of software & tools that include advanced AI capabilities in healthcare to improve patient outcomes, streamline operations, and drive innovation. Its Azure-based AI solutions support distinct applications such as medical imaging, genomics, and precision medicine.

微软公司是提供软件和工具的领先供应商之一，这些软件和工具在医疗保健领域包含先进的人工智能功能，用于改善患者预后、简化操作并推动创新。其基于 Azure 的人工智能解决方案支持多种应用，例如医学影像、基因组学和精准医学。

The company also provides healthcare-specific AI models through its Azure AI Model Catalog, which is constructed to support hospitals and research institutions in building and deploying tailored AI solutions proficiently. Moreover, the integration of Nuance's AI-powered clinical and diagnostic tools encourages its capacity to support healthcare providers in decision-making and care delivery.

该公司还通过其 Azure AI 模型目录提供针对医疗保健的 AI 模型，该目录旨在帮助医院和研究机构高效构建和部署定制的 AI 解决方案。此外，Nuance 的 AI 驱动临床和诊断工具的集成进一步增强了其支持医疗机构进行决策和护理交付的能力。

The company continuously brings AI capabilities to the platforms in large-scale customer models. For instance, in .

公司不断在大规模客户模型的平台上引入人工智能能力。例如，在。

March 2025

2025年3月

, the company launched Microsoft Dragon Copilot, the first unified voice AI assistant in the healthcare industry that enables clinicians to streamline clinical documentation, surface information, and automate tasks.

，该公司推出了微软龙副驾，这是医疗保健行业的第一个统一语音人工智能助手，使临床医生能够简化临床文档、呈现信息并自动执行任务。

Microsoft Corporation has invested significantly in R&D, which has improved its product portfolio and position in the AI market. Machine Learning (ML), deep learning, Natural Language Processing (NLP), and speech processing are the key focus areas of the company in the AI in healthcare market. The company continuously invests in a series of services and computational biology projects, including research support tools for next-generation precision healthcare, genomics, immunomics, CRISPR, and cellular and molecular biologics.

微软公司在研发方面投入了大量资金，这使其产品组合和在人工智能市场的地位得到了提升。机器学习（ML）、深度学习、自然语言处理（NLP）和语音处理是该公司在医疗保健领域人工智能市场的重点聚焦领域。公司持续投资于一系列服务和计算生物学项目，包括支持下一代精准医疗、基因组学、免疫组学、CRISPR 以及细胞和分子生物学的研究工具。

It has a strong global presence, with key operations supported through its Azure cloud infrastructure across regions like .

它在全球范围内拥有强大的影响力，其关键业务通过其Azure云基础设施在各个地区得到支持，如。

North America

北美

，

Europe

欧洲

，

Asia-Pacific

亚太地区

, and the

，以及

Middle East

中东地区

。

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医疗保健分析市场

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