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市场调查报告书
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1806210

医疗保健市场中的人工智慧按组件、技术类型、部署模式、应用领域、最终用户和疾病类型划分 - 全球预测，2025 年至 2030 年

Artificial Intelligence in Medicine Market by Component, Technology Type, Deployment Mode, Application Areas, End-User, Disease Type - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 187 Pages | 商品交期: 最快1-2个工作天内

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预计医疗保健领域的人工智慧市场规模到 2024 年将达到 126.4 亿美元，到 2025 年将达到 156.2 亿美元，到 2030 年将达到 468.1 亿美元，复合年增长率为 24.37%。

主要市场统计数据
基准年2024年 126.4亿美元
预计2025年 156.2亿美元
预测年份 2030 468.1亿美元
复合年增长率（%） 24.37%

释放先进运算智慧与临床专业知识的融合，推动下一代以患者为中心的医疗保健解决方案

人工智慧将先进的计算模型与临床洞察结合，开启了医疗创新的新纪元。随着复杂演算法逐渐具备分析大量患者资料的能力，它们正在重新定义诊断路径，实现更早的疾病检测，并丰富医疗专业人员的决策流程。这种整合正在推动更广泛的变革，鼓励医院和研究中心探索如何利用人工智慧来改善患者治疗效果，同时满足日益增长的经济高效且扩充性的解决方案需求。

人工智慧代表着模式转移，它将重新定义整个医疗保健领域的诊断准确性、治疗通讯协定和业务效率。

随着人工智慧技术增强病人历程，并重塑诊疗方式，医疗保健领域正经历翻天覆地的变化。在放射学领域，智慧型影像分析平台已从实验性附加元件发展成为必不可少的决策支援工具，提高了异常检测的灵敏度并缩短了读取时间。同时，自然语言处理正在彻底改变临床文檔，从非结构化记录中提取关键的患者信息，并支持紧急护理中的即时决策。

评估关税调整对医疗设备进口的溢出效应以及美国医疗生态系统的发展动态

2025年，美国将对医疗设备和人工智慧硬体的进口关税进行修订，这将对美国医疗保健产业产生显着影响。影像系统、机器人手术平台和专用处理器的关税上调，促使供应商重新评估其供应链策略，一些供应商选择本地化组装业务，并与国内零件製造商建立长期伙伴关係关係。这种重新定位正在推动美国研发投资，增强其在边缘运算和专用人工智慧晶片设计等领域的能力。

清晰的组件应用技术部署向量和按疾病类型细分的市场，以指南策略定位

了解市场区隔的细微差别，可以揭示人工智慧投资最集中的领域以及新的商机所在。从组件来看，随着医疗保健系统寻求指导以应对复杂的实施，咨询、整合和配置服务等服务导向的产品正日益受到青睐。同时，针对特定临床功能客製化的应用软体发展势头强劲，而底层系统软体平台也在不断发展，以支援可扩展的人工智慧工作负载。

确定影响美洲、欧洲、中东和非洲以及亚太地区医疗保健领域人工智慧采用趋势的区域差异

区域差异对人工智慧的采用模式和投资重点有显着的影响。例如，在美洲，成熟的医疗保健市场拥有健全的报销框架和完善的监管路径，这加速了诊断影像中心和大型医院网路对人工智慧的采用。因此，该地区的医疗保健提供者能够大规模试用先进的决策支援工具，并改善其与现有电子健康记录系统的整合。

剖析在竞争格局中引领智慧医疗解决方案发展的创新者和策略伙伴关係

领先的科技公司和专业的医疗保健供应商正在合作，以扩大人工智慧的覆盖范围并深化其临床应用。大型云端服务供应商正在与诊断影像设备製造商合作，提供整合分析套件；而成熟的医疗设备原始设备製造商 (OEM) 则正在收购人工智慧软体新兴企业，以增强其诊断产品组合。同时，科技巨头们正在投资开放研究联盟，共同开发针对医疗保健用例优化的新型机器学习架构。

为医疗保健和技术领导者制定可操作、战术、蓝图，以利用人工智慧主导的临床和营运机会

对于寻求最大限度地发挥人工智慧在医疗保健领域潜力的行业领导者来说，采取积极主动的方法至关重要。首先，建立强大的资料管治框架，确保演算法在高品质、具代表性的资料集上进行训练，从而减少偏差并提高临床效度。同时，培养汇聚临床医生、资料科学家和监管专家的跨职能团队，可以加快部署週期并简化合规流程。

结合一手访谈和二级资讯来源的强大混合方法研究框架的详细信息，以确保全面的市场情报

本研究整合了主要和次要研究方法，以确保全面均衡的市场视角。主要资料收集包括与来自领先医疗机构、技术供应商和监管机构的相关人员进行结构化访谈，以获得关于应用障碍、投资重点和未来蓝图的第一手见解。此外，我们还对临床医生和IT决策者进行了一项调查，以了解他们对表现、可用性和长期价值的期望。

综合主要研究发现，强调人工智慧在医疗生态系统中整合的策略重要性和未来前景

本分析所获得的综合洞见，凸显了在医疗保健和人工智慧交叉领域运作的组织的若干策略必要事项。首先，清楚了解服务与软体的动态、特定技术能力、部署偏好以及疾病领域优先级，将有助于更明智地配置资源。其次，每个地区的法规环境和基础设施成熟度应为市场进入策略提供参考，以优化采用轨迹并最大限度地减少摩擦。

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章市场动态

  • 人工智慧驱动的精准药物研发流程改变个人化治疗的发展
  • 透过整合基于人工智慧的远端医疗平台提高远距离诊断的准确性
  • 人工智慧在临床和诊断应用中的采用加速
  • 利用深度学习演算法即时分析组织病理学影像以进行癌症诊断
  • 引进人工智慧增强型远端患者监护系统，用于慢性病的预防管理
  • 将人工智慧驱动的预测分析整合到医院资源管理中，以优化病患流量
  • 现实世界证据和预测分析成为人工智慧主导护理的中心
  • 机器人手术系统中采用人工智慧演算法可以提高手术精度并减少术后併发症。
  • 自然语言处理平台可以实现临床文件的自动化，减少医生的疲劳和错误。
  • 人工智慧基因组学平台透过识别新的治疗标靶加速精准肿瘤学

第六章 市场洞察

  • 波特五力分析
  • PESTEL分析

第七章 2025年美国关税的累积影响

第八章 医疗保健市场中的人工智慧（按组成部分）

  • 服务
    • 咨询服务
    • 整合和实施服务
  • 软体
    • 应用软体
    • 系统软体

第九章医疗保健市场中的人工智慧（按技术类型）

  • 电脑视觉
  • 机器学习
  • 自然语言处理
  • 机器人技术

第十章医疗保健领域的人工智慧市场（按部署模式）

  • 云端基础
  • 本地

第 11 章：医疗保健市场中的人工智慧（按应用领域）

  • 诊断
    • 医学影像
    • 病理检测
  • 药物研发
  • 治疗

第 12 章医疗保健市场中的人工智慧（按最终用户）

  • 医疗保健提供者
    • 诊所
    • 医院
  • 製药公司
  • 研究机构和学术中心

第十三章医疗保健领域的人工智慧市场（按疾病类型）

  • 心臟病学
  • 皮肤科
  • 胃肠病学
  • 神经病学
  • 妇产科
  • 肿瘤学
  • 眼科
  • 整形外科
  • 小儿科
  • 泌尿系统

14. 美国医疗保健市场人工智慧

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 阿根廷

15. 欧洲、中东和非洲地区医疗保健市场中的人工智慧

  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 南非
  • 丹麦
  • 荷兰
  • 卡达
  • 芬兰
  • 瑞典
  • 奈及利亚
  • 埃及
  • 土耳其
  • 以色列
  • 挪威
  • 波兰
  • 瑞士

16. 亚太地区医疗保健人工智慧市场

  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国
  • 印尼
  • 泰国
  • 菲律宾
  • 马来西亚
  • 新加坡
  • 越南
  • 台湾

第十七章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争分析
    • Aidoc Medical Ltd.
    • Allscripts Healthcare Solutions, Inc.
    • BenevolentAI Limited
    • Butterfly Network, Inc.
    • CloudMedx Inc.
    • Enlitic, Inc.
    • Epic Systems Corporation
    • Exscientia plc
    • Freenome Holdings, Inc.
    • GE Healthcare
    • Google LLC By Alphabet Inc.
    • HeartFlow, Inc.
    • IBM Corporation
    • Insilico Medicine, Inc.
    • Intel Corporation
    • Koninklijke Philips NV
    • Medtronic plc
    • NVIDIA Corporation
    • Owkin, Inc.
    • PathAI, Inc.
    • Qventus, Inc.
    • Recursion Pharmaceuticals, Inc.
    • Siemens Healthineers AG
    • Tempus Labs, Inc.
    • Viz.ai, Inc.
    • Zebra Medical Vision Ltd.

第十八章 研究人工智慧

第十九章 研究统计

第二十章 研究联络人

第21章 研究报导

第22章 附录

Product Code: MRR-4330CC794AA4

The Artificial Intelligence in Medicine Market was valued at USD 12.64 billion in 2024 and is projected to grow to USD 15.62 billion in 2025, with a CAGR of 24.37%, reaching USD 46.81 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 12.64 billion
Estimated Year [2025] USD 15.62 billion
Forecast Year [2030] USD 46.81 billion
CAGR (%) 24.37%

Unveiling the Convergence of Advanced Computational Intelligence and Clinical Expertise to Drive Next Generation Patient-Centric Medical Solutions

Artificial intelligence is ushering in a new era of medical innovation by merging advanced computational models with clinical acumen. As complex algorithms gain the ability to analyze vast quantities of patient data, they are redefining diagnostic pathways, enabling earlier detection of conditions, and enriching the decision-making process for healthcare professionals. This convergence has fueled a broader transformation, prompting hospitals and research centers alike to explore how AI can enhance patient outcomes while addressing the mounting demand for cost-effective, scalable solutions.

Over the past decade, breakthroughs in machine learning techniques such as convolutional neural networks and natural language processing have elevated the precision of medical imaging interpretation and automated the classification of pathological findings. Concurrently, integration with electronic health records has allowed clinicians to draw on predictive analytics that identify at-risk populations and anticipate resource needs. As a result, workflows are becoming more streamlined, with routine tasks increasingly handled by intelligent systems, freeing specialists to focus on complex clinical challenges.

Despite these advancements, significant barriers remain, including data privacy concerns, algorithmic bias, and the necessity for robust validation protocols. Bridging the gap between promising pilot studies and large-scale deployments requires rigorous testing, close collaboration between technology developers and medical practitioners, and alignment with evolving regulatory frameworks. Nevertheless, the current moment represents a watershed in which AI-driven tools are poised to move from experimental phases into everyday practice.

This executive summary provides a structured exploration of the forces reshaping the AI in medicine landscape, offering leaders a clear understanding of transformative shifts, segmentation insights, regional dynamics, corporate strategies, and actionable recommendations for sustained innovation and growth.

Charting the Paradigm Shift as Artificial Intelligence Redefines Diagnostic Accuracy Treatment Protocols and Operational Efficiency Across Healthcare

Healthcare is experiencing seismic shifts as AI-enabled technologies augment every stage of the patient journey, reshaping how diagnoses are made and treatments are administered. In radiology departments, intelligent image analysis platforms have transitioned from experimental add-ons to essential decision-support tools, delivering enhanced sensitivity in detecting anomalies and reducing interpretation times. Meanwhile, natural language processing is revolutionizing clinical documentation, extracting critical patient information from unstructured notes and enabling real-time decision-making in emergency care.

Beyond diagnostics, AI is transforming drug discovery by accelerating target identification and optimizing compound screening, heralding a shift from traditional trial-and-error approaches toward data-driven precision. Robotics augmented with machine vision have begun to assist surgeons with unprecedented dexterity, offering minimally invasive procedures that reduce patient recovery times. In parallel, telehealth services are embracing intelligent triage systems that guide virtual consultations and allocate resources according to urgency, ultimately improving access in underserved regions.

Operational efficiencies are also emerging as pivotal differentiators, with predictive maintenance algorithms ensuring that critical imaging and monitoring equipment remain online and reliable. Administrative overhead is diminishing as intelligent workflows automate claims processing and revenue cycle management. Altogether, these developments illustrate a comprehensive redefinition of care delivery models, moving toward a future in which continuous learning systems adapt to emerging clinical evidence and patient needs.

Assessing the Ripple Effects of Tariff Adjustments on Medical Device Importation and Development Dynamics within the United States Healthcare Ecosystem

The introduction of revised import tariffs for medical devices and AI-enabled hardware in 2025 is exerting notable influence on the United States healthcare industry. Increased duties on imaging systems, robotic surgical platforms, and specialized processors have led vendors to reassess supply chain strategies, with several opting to localize assembly operations and secure long-term partnerships with domestic component manufacturers. This repositioning has, in turn, spurred investment in U.S.-based research and development, bolstering capabilities in areas such as edge computing and specialized AI chip design.

Simultaneously, software providers that traditionally packaged AI solutions with imported appliances have restructured licensing agreements to decouple software from hardware, aiming to mitigate tariff impacts on end-users. Subscription-based models and cloud-hosted deployments are gaining traction, as these modalities bypass import classifications attributed to physical goods. However, organizations operating in high-acuity settings continue to weigh the trade-offs between on-premise control and cloud-based flexibility.

In addition, the anticipated cost pressures have galvanized collaborations between academic medical centers and domestic semiconductor firms to prototype next-generation AI accelerators tailored for healthcare workloads. These efforts are being reinforced by federal incentives designed to enhance critical technology manufacturing within national borders. Collectively, these shifts underscore a broader trend toward supply chain resilience and highlight the strategic importance of tariff-aware procurement planning as institutions invest in future-ready intelligence architectures.

Illuminating Distinct Market Segmentation Vectors by Component Application Technology Deployment and Disease Type to Guide Strategic Positioning

A nuanced understanding of market segments reveals where AI investments are most concentrated and where emerging opportunities lie. On the basis of component, service-oriented offerings such as consulting, integration, and deployment services are commanding attention as healthcare systems seek guidance navigating complex implementations. Concurrently, applications software tailored for specific clinical functions is experiencing robust uptake, while underlying system software platforms continue to evolve to support scalable AI workloads.

When considering technology type, computer vision engines are at the forefront of imaging diagnostics, yet machine learning frameworks remain indispensable for predictive analytics and patient risk stratification. Natural language processing modules are unlocking insights in clinical narratives and administrative documentation, whereas robotic systems-integrating haptic feedback and high-resolution imaging-are revolutionizing procedural accuracy.

Deployment preferences further shape adoption curves, with cloud-based solutions offering rapid scalability and reduced upfront investments, while on-premise implementations appeal to institutions with stringent data sovereignty and latency requirements. Across application areas, diagnostics spearhead early commercialization efforts, particularly in medical imaging and digital pathology detection, but drug discovery pipelines are increasingly leveraging deep learning to accelerate compound screening. In treatment settings, AI-driven decision support is guiding personalized therapy regimens.

End-users span from healthcare providers, both clinics and hospitals seeking operational efficiencies, to pharmaceutical companies optimizing research workflows, and academic centers advancing translational research. Finally, disease-specific platforms address cardiology, dermatology, gastroenterology, neurology, obstetrics and gynecology, oncology, ophthalmology, orthopedics, pediatrics, and urology, underscoring the breadth of AI applicability across medical specialties.

Unearthing the Regional Nuances Influencing AI Adoption Trends across the Americas Europe Middle East Africa and Asia-Pacific Healthcare Landscapes

Regional variations cast distinct influences on AI adoption patterns and investment priorities. In the Americas, for instance, mature healthcare markets are characterized by robust reimbursement frameworks and established regulatory pathways, accelerating deployments of AI in imaging centers and large hospital networks. As a result, providers in this region are able to pilot advanced decision-support tools at scale and refine integration with existing electronic health record systems.

Transitioning to Europe, the Middle East, and Africa, regulatory environments present both challenges and opportunities. Stricter data privacy regulations in parts of Europe have incentivized on-premise deployments and federated learning models, whereas emerging markets in the Middle East and Africa are exploring AI-powered telemedicine to address provider shortages. Collaborative initiatives between governments and private entities are fostering data-sharing consortia that underpin translational research.

Meanwhile, Asia-Pacific nations are demonstrating rapid growth in AI-driven healthcare as governments invest heavily in digital health infrastructure. Initiatives targeting universal health coverage are deploying intelligent triage and remote monitoring platforms, particularly in densely populated urban centers. Cross-border partnerships are also nurturing local talent development and the establishment of innovation hubs that bridge academia and industry. Taken together, these regional nuances highlight the need for tailored go-to-market strategies and regulatory navigation plans to optimize AI integration globally.

Profiling Leading Innovators and Strategic Partnerships Steering the Evolution of Intelligent Medical Solutions in a Competitive Industry Environment

Leading technology companies and specialized healthcare vendors are forging alliances to expand their AI footprints and deepen clinical impact. Major cloud service providers are collaborating with imaging device manufacturers to offer integrated analytics suites, while established medical equipment OEMs are acquiring AI software startups to enhance their diagnostic portfolios. In parallel, technology giants are investing in open research consortia to co-develop novel machine learning architectures optimized for medical use cases.

Strategic partnerships between pharmaceutical firms and AI platform developers are accelerating drug discovery and repurposing programs, leveraging predictive models to identify promising molecular targets and forecast patient responses. At the same time, academic health systems are entering licensing agreements with software vendors to commercialize algorithms validated in real-world clinical environments, closing the loop between research breakthroughs and market-ready solutions.

Smaller innovative players are differentiating through specialization, focusing on niche applications such as telepathology, robotic rehabilitation, or digital therapeutics. These companies frequently engage in pilot deployments with regional hospital networks, gathering data to refine performance and secure broader contracts. Across the competitive landscape, intellectual property portfolios and interoperability standards emerge as key differentiators, shaping which entities attract strategic investments and long-term collaborations.

Charting a Proactive Roadmap with Actionable Tactics for Healthcare and Technology Leaders to Capitalize on AI-Driven Clinical and Operational Opportunities

For industry leaders seeking to harness the full potential of AI in medical contexts, adopting a proactive stance is essential. Initially, establishing robust data governance frameworks will ensure that algorithms are trained on high-quality, representative datasets, mitigating bias and enhancing clinical validity. Concurrently, fostering cross-functional teams that bring together clinicians, data scientists, and regulatory experts will accelerate deployment cycles and streamline compliance processes.

Investment in workforce development is equally critical, as organizations must cultivate talent capable of translating complex algorithmic outputs into actionable clinical insights. Moreover, prioritizing interoperability through adherence to open standards will facilitate seamless integration with existing health IT systems, reducing implementation risk and accelerating time to value. Engaging early with regulatory agencies will clarify approval pathways and preempt compliance obstacles.

To further differentiate, leaders should pilot modular AI solutions in high-impact use cases-such as sepsis detection or automated radiology triage-and iterate based on user feedback. Simultaneously, incorporating cybersecurity safeguards will protect patient data and maintain stakeholder trust. Lastly, embedding ethical considerations throughout the development lifecycle, from algorithm design to user training, will establish a foundation for sustainable growth and societal acceptance.

Detailing a Robust Mixed-Method Research Framework Combining Primary Interviews and Secondary Data Sources to Ensure Comprehensive Market Intelligence

This research integrates both primary and secondary methodologies to ensure a comprehensive and balanced market perspective. Primary data collection involved structured interviews with executive stakeholders at leading healthcare institutions, technology vendors, and regulatory bodies, providing firsthand insights into adoption barriers, investment priorities, and future roadmaps. These conversations were complemented by surveys targeting clinicians and IT decision-makers, capturing expectations for performance, usability, and long-term value.

Secondary research included an extensive review of peer-reviewed journals, white papers, regulatory filings, and patent databases to contextualize technological maturity and identify emerging innovation clusters. Industry reports and conference proceedings were analyzed to trace partnership announcements, funding flows, and strategic alliances. Publicly available financial statements and corporate presentations furnished additional clarity around R&D spending and commercialization strategies.

Data triangulation techniques were employed to validate qualitative findings against quantitative indicators, ensuring consistency and mitigating bias. Expert panels convened at key project milestones reviewed preliminary conclusions and refined thematic frameworks. Throughout the research process, rigorous quality checks and version controls upheld methodological transparency and reproducibility.

Synthesizing Key Findings to Illuminate Strategic Imperatives and Future Prospects for Artificial Intelligence Integration in Medical Ecosystems

The collective insights gleaned from this analysis underscore several strategic imperatives for organizations operating at the intersection of healthcare and artificial intelligence. First, a clear understanding of service versus software dynamics, technology-specific capabilities, deployment preferences, and disease area priorities will enable more informed resource allocation. Second, regional regulatory environments and infrastructure maturity must inform market entry tactics to optimize adoption trajectories and minimize friction.

Corporate success will hinge on collaborative innovation models, pairing the agility of specialized AI startups with the domain expertise and scale of established healthcare and technology players. Furthermore, actionable roadmaps that balance rapid prototyping with rigorous validation will expedite time to clinical impact, delivering measurable improvements in patient outcomes and operational efficiencies. Leaders who invest in ecosystem partnerships, governance standards, and ethical guardrails will be best positioned to sustain long-term growth.

Looking ahead, emerging trends such as federated learning, multimodal AI, and personalized medicine promise to further transform care paradigms. Organizations that remain vigilant to evolving technological horizons and regulatory landscapes will unlock new value streams and shape the future of intelligent medical practice.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

  • 4.1. Introduction
  • 4.2. Market Sizing & Forecasting

5. Market Dynamics

  • 5.1. AI-driven precision drug discovery pipelines transforming personalized therapy development
  • 5.2. Integration of AI-powered telehealth platforms enhancing remote diagnostic accuracy
  • 5.3. AI adoption accelerating across clinical and diagnostic applications
  • 5.4. Leveraging deep learning algorithms for real-time analysis of histopathology images in cancer diagnostics
  • 5.5. Deploying AI-enhanced remote patient monitoring systems for proactive chronic disease management
  • 5.6. Integrating AI-driven predictive analytics into hospital resource management for optimized patient flow
  • 5.7. Real-world evidence and predictive analytics gaining traction in AI-driven care
  • 5.8. Adoption of AI algorithms in robotic surgery systems drives precision and reduces postoperative complications
  • 5.9. Natural language processing platforms automate clinical documentation to reduce physician burnout and errors
  • 5.10. AI-powered genomics platforms accelerate precision oncology by identifying novel therapeutic targets

6. Market Insights

  • 6.1. Porter's Five Forces Analysis
  • 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Artificial Intelligence in Medicine Market, by Component

  • 8.1. Introduction
  • 8.2. Services
    • 8.2.1. Consulting Services
    • 8.2.2. Integration & Deployment Services
  • 8.3. Software
    • 8.3.1. Applications Software
    • 8.3.2. System Software

9. Artificial Intelligence in Medicine Market, by Technology Type

  • 9.1. Introduction
  • 9.2. Computer Vision
  • 9.3. Machine Learning
  • 9.4. Natural Language Processing
  • 9.5. Robotics

10. Artificial Intelligence in Medicine Market, by Deployment Mode

  • 10.1. Introduction
  • 10.2. Cloud-Based
  • 10.3. On-Premise

11. Artificial Intelligence in Medicine Market, by Application Areas

  • 11.1. Introduction
  • 11.2. Diagnostics
    • 11.2.1. Medical Imaging
    • 11.2.2. Pathology Detection
  • 11.3. Drug Discovery
  • 11.4. Treatment

12. Artificial Intelligence in Medicine Market, by End-User

  • 12.1. Introduction
  • 12.2. Healthcare Providers
    • 12.2.1. Clinics
    • 12.2.2. Hospitals
  • 12.3. Pharmaceutical Companies
  • 12.4. Research Institutes & Academic Centers

13. Artificial Intelligence in Medicine Market, by Disease Type

  • 13.1. Introduction
  • 13.2. Cardiology
  • 13.3. Dermatology
  • 13.4. Gastroenterology
  • 13.5. Neurology
  • 13.6. Obstetrics & Gynecology
  • 13.7. Oncology
  • 13.8. Ophthalmology
  • 13.9. Orthopedics
  • 13.10. Pediatrics
  • 13.11. Urology

14. Americas Artificial Intelligence in Medicine Market

  • 14.1. Introduction
  • 14.2. United States
  • 14.3. Canada
  • 14.4. Mexico
  • 14.5. Brazil
  • 14.6. Argentina

15. Europe, Middle East & Africa Artificial Intelligence in Medicine Market

  • 15.1. Introduction
  • 15.2. United Kingdom
  • 15.3. Germany
  • 15.4. France
  • 15.5. Russia
  • 15.6. Italy
  • 15.7. Spain
  • 15.8. United Arab Emirates
  • 15.9. Saudi Arabia
  • 15.10. South Africa
  • 15.11. Denmark
  • 15.12. Netherlands
  • 15.13. Qatar
  • 15.14. Finland
  • 15.15. Sweden
  • 15.16. Nigeria
  • 15.17. Egypt
  • 15.18. Turkey
  • 15.19. Israel
  • 15.20. Norway
  • 15.21. Poland
  • 15.22. Switzerland

16. Asia-Pacific Artificial Intelligence in Medicine Market

  • 16.1. Introduction
  • 16.2. China
  • 16.3. India
  • 16.4. Japan
  • 16.5. Australia
  • 16.6. South Korea
  • 16.7. Indonesia
  • 16.8. Thailand
  • 16.9. Philippines
  • 16.10. Malaysia
  • 16.11. Singapore
  • 16.12. Vietnam
  • 16.13. Taiwan

17. Competitive Landscape

  • 17.1. Market Share Analysis, 2024
  • 17.2. FPNV Positioning Matrix, 2024
  • 17.3. Competitive Analysis
    • 17.3.1. Aidoc Medical Ltd.
    • 17.3.2. Allscripts Healthcare Solutions, Inc.
    • 17.3.3. BenevolentAI Limited
    • 17.3.4. Butterfly Network, Inc.
    • 17.3.5. CloudMedx Inc.
    • 17.3.6. Enlitic, Inc.
    • 17.3.7. Epic Systems Corporation
    • 17.3.8. Exscientia plc
    • 17.3.9. Freenome Holdings, Inc.
    • 17.3.10. GE Healthcare
    • 17.3.11. Google LLC By Alphabet Inc.
    • 17.3.12. HeartFlow, Inc.
    • 17.3.13. IBM Corporation
    • 17.3.14. Insilico Medicine, Inc.
    • 17.3.15. Intel Corporation
    • 17.3.16. Koninklijke Philips N.V.
    • 17.3.17. Medtronic plc
    • 17.3.18. NVIDIA Corporation
    • 17.3.19. Owkin, Inc.
    • 17.3.20. PathAI, Inc.
    • 17.3.21. Qventus, Inc.
    • 17.3.22. Recursion Pharmaceuticals, Inc.
    • 17.3.23. Siemens Healthineers AG
    • 17.3.24. Tempus Labs, Inc.
    • 17.3.25. Viz.ai, Inc.
    • 17.3.26. Zebra Medical Vision Ltd.

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET RESEARCH PROCESS
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2030 (%)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2024 VS 2030 (%)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2024 VS 2030 (%)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 25. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, FPNV POSITIONING MATRIX, 2024
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: RESEARCHAI
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: RESEARCHSTATISTICS
  • FIGURE 29. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: RESEARCHCONTACTS
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET: RESEARCHARTICLES

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, 2025-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY INTEGRATION & DEPLOYMENT SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY INTEGRATION & DEPLOYMENT SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATIONS SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATIONS SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SYSTEM SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SYSTEM SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ROBOTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CLOUD-BASED, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ON-PREMISE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY MEDICAL IMAGING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY MEDICAL IMAGING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATHOLOGY DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATHOLOGY DETECTION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TREATMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TREATMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CLINICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CLINICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HOSPITALS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY RESEARCH INSTITUTES & ACADEMIC CENTERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY RESEARCH INSTITUTES & ACADEMIC CENTERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY CARDIOLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DERMATOLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DERMATOLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY GASTROENTEROLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY GASTROENTEROLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY NEUROLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY OBSTETRICS & GYNECOLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY OBSTETRICS & GYNECOLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ONCOLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ORTHOPEDICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ORTHOPEDICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PEDIATRICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PEDIATRICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY UROLOGY, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY UROLOGY, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 93. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 94. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 95. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 96. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 97. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 98. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 99. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 100. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 101. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 102. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 103. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 104. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 105. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 106. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 107. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 108. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 109. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 110. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 111. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 112. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 113. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 114. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 115. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 116. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 117. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 118. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 119. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 120. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 121. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 122. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 123. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 124. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 125. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 126. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 127. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 128. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 129. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 130. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 131. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 132. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 133. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 134. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 135. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2018-2024 (USD MILLION)
  • TABLE 136. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2025-2030 (USD MILLION)
  • TABLE 137. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 138. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 139. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 140. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 141. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 142. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 143. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 144. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 145. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 146. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 147. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 148. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 149. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 150. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 151. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 152. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 153. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 154. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 155. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 156. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 157. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 158. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 159. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 160. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 161. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 162. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 163. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 164. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 165. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 166. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 167. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 168. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 169. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 170. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 171. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 172. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 173. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 174. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 175. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 176. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 177. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 178. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 179. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 180. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 181. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 182. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 183. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 184. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 185. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 186. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 187. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 188. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 189. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 190. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 191. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 192. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 193. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 194. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 195. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 196. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 197. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 198. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 199. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 200. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 201. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 202. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 203. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 204. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 205. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 206. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 207. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 208. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 209. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 210. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 211. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 212. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 213. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 214. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 215. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 216. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 217. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 218. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 219. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 220. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 221. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 222. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 223. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 224. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 225. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 226. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 227. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 228. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 229. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 230. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 231. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 232. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 233. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 234. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 235. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 236. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 237. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 238. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 239. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 240. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 241. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 242. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 243. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 244. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 245. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 246. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 247. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 248. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 249. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 250. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 251. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 252. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 253. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 254. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 255. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 256. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 257. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 258. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 259. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 260. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 261. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 262. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 263. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 264. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 265. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 266. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 267. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 268. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 269. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2018-2024 (USD MILLION)
  • TABLE 270. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION AREAS, 2025-2030 (USD MILLION)
  • TABLE 271. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 272. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 273. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 274. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 275. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2018-2024 (USD MILLION)
  • TABLE 276. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HEALTHCARE PROVIDERS, 2025-2030 (USD MILLION)
  • TABLE 277. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2018-2024 (USD MILLION)
  • TABLE 278. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE TYPE, 2025-2030 (USD MILLION)
  • TABLE 279. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 280. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 281. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 282. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 283. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 284. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 285. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 286. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 287. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 288. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 289. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION