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市場調查報告書
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1806210

醫療保健市場中的人工智慧按組件、技術類型、部署模式、應用領域、最終用戶和疾病類型分類 - 全球預測，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個工作天內

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預計醫療保健領域的人工智慧市場規模到 2024 年將達到 126.4 億美元，到 2025 年將達到 156.2 億美元，到 2030 年將達到 468.1 億美元，複合年成長率為 24.37%。

主要市場統計數據
基準年2024年 126.4億美元
預計2025年 156.2億美元
預測年份 2030 468.1億美元
複合年成長率（%） 24.37%

釋放先進運算智慧與臨床專業知識的融合，推動下一代以患者為中心的醫療保健解決方案

人工智慧將先進的計算模型與臨床洞察結合，開啟了醫療創新的新紀元。隨著複雜演算法逐漸具備分析大量患者資料的能力，它們正在重新定義診斷路徑，實現更早的疾病檢測，並豐富醫療專業人員的決策流程。這種整合正在推動更廣泛的變革，鼓勵醫院和研究中心探索如何利用人工智慧來改善患者治療效果，同時滿足日益成長的經濟高效且擴充性的解決方案需求。

人工智慧代表著模式轉移，它將重新定義整個醫療保健領域的診斷準確性、治療通訊協定和業務效率。

隨著人工智慧技術增強病人歷程，並重塑診療方式，醫療保健領域正經歷翻天覆地的變化。在放射學領域，智慧型影像分析平台已從實驗性附加元件發展成為必不可少的決策支援工具，提高了異常檢測的靈敏度並縮短了讀取時間。同時，自然語言處理正在徹底改變臨床文檔，從非結構化記錄中提取關鍵的患者資訊，並支持緊急護理中的即時決策。

評估關稅調整對醫療設備進口的溢出效應以及美國醫療生態系統的發展動態

2025年，美國將對醫療設備和人工智慧硬體的進口關稅進行修訂，這將對美國醫療保健產業產生顯著影響。影像系統、機器人手術平台和專用處理器的關稅上調，促使供應商重新評估其供應鏈策略，一些供應商選擇本地化組裝業務，並與國內零件製造商建立長期夥伴關係關係。這種重新定位正在推動美國研發投資，增強其在邊緣運算和專用人工智慧晶片設計等領域的能力。

清晰的組件應用技術部署向量和按疾病類型細分的市場，以指南策略定位

了解市場區隔的細微差別，可以揭示人工智慧投資最集中的領域以及新的商機所在。從組件來看，隨著醫療保健系統尋求指導以應對複雜的實施，諮詢、整合和配置服務等服務導向的產品正日益受到青睞。同時，針對特定臨床功能客製化的應用軟體發展勢頭強勁，而底層系統軟體平台也在不斷發展，以支援可擴展的人工智慧工作負載。

確定影響美洲、歐洲、中東和非洲以及亞太地區醫療保健領域人工智慧採用趨勢的區域差異

區域差異對人工智慧的採用模式和投資重點有顯著的影響。例如，在美洲，成熟的醫療保健市場擁有健全的報銷框架和完善的監管路徑，這加速了診斷影像中心和大型醫院網路對人工智慧的採用。因此，該地區的醫療保健提供者能夠大規模試用先進的決策支援工具，並改善其與現有電子健康記錄系統的整合。

剖析在競爭格局中引領智慧醫療解決方案發展的創新者和策略夥伴關係

領先的科技公司和專業的醫療保健供應商正在合作，以擴大人工智慧的覆蓋範圍並深化其臨床應用。大型雲端服務供應商正在與診斷影像設備製造商合作，提供整合分析套件；而成熟的醫療設備原始設備製造商 (OEM) 則正在收購人工智慧軟體新興企業，以增強其診斷產品組合。同時，科技巨頭們正在投資開放研究聯盟，共同開發針對醫療保健用例最佳化的新型機器學習架構。

為醫療保健和技術領導者制定可操作、戰術、藍圖，以利用人工智慧主導的臨床和營運機會

對於尋求最大限度地發揮人工智慧在醫療保健領域潛力的行業領導者來說，採取積極主動的方法至關重要。首先，建立強大的資料管治框架，確保演算法在高品質、具代表性的資料集上進行訓練，從而減少偏差並提高臨床效度。同時，培養匯聚臨床醫生、資料科學家和監管專家的跨職能團隊，可以加快部署週期並簡化合規流程。

結合一手訪談和二級資訊來源的強大混合方法研究框架的詳細資訊，以確保全面的市場情報

本研究整合了主要和次要研究方法，以確保全面均衡的市場視角。主要資料收集包括與來自領先醫療機構、技術供應商和監管機構的相關人員進行結構化訪談，以獲得關於應用障礙、投資重點和未來藍圖的第一手見解。此外，我們還對臨床醫生和IT決策者進行了一項調查，以了解他們對表現、可用性和長期價值的期望。

綜合主要研究發現，強調人工智慧在醫療生態系統中整合的策略重要性和未來前景

本分析所獲得的綜合洞見，凸顯了在醫療保健和人工智慧交叉領域運作的組織的若干策略必要事項。首先，清楚了解服務與軟體的動態、特定技術能力、部署偏好以及疾病領域優先級，將有助於更明智地配置資源。其次，每個地區的法規環境和基礎設施成熟度應為市場進入策略提供參考，以最佳化採用軌跡並最大限度地減少摩擦。

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章市場動態

  • 人工智慧驅動的精準藥物研發流程改變個人化治療的發展
  • 透過整合基於人工智慧的遠端醫療平台提高遠距離診斷的準確性
  • 人工智慧在臨床和診斷應用中的採用加速
  • 利用深度學習演算法即時分析組織病理學影像以進行癌症診斷
  • 引進人工智慧增強型遠端患者監護系統，用於慢性病的預防管理
  • 將人工智慧驅動的預測分析整合到醫院資源管理中，以最佳化病患流量
  • 現實世界證據和預測分析成為人工智慧主導護理的中心
  • 機器人手術系統中採用人工智慧演算法可以提高手術精度並減少術後併發症。
  • 自然語言處理平台可以實現臨床文件的自動化，減少醫生的疲勞和錯誤。
  • 人工智慧基因組學平台透過識別新的治療標靶加速精準腫瘤學

第6章 市場洞察

  • 波特五力分析
  • PESTEL分析

第7章 2025年美國關稅的累積影響

第8章 醫療保健市場中的人工智慧（按組成部分）

  • 服務
    • 諮詢服務
    • 整合和實施服務
  • 軟體
    • 應用軟體
    • 系統軟體

第9章醫療保健市場中的人工智慧（按技術類型）

  • 電腦視覺
  • 機器學習
  • 自然語言處理
  • 機器人技術

第10章醫療保健領域的人工智慧市場（按部署模式）

  • 雲端基礎
  • 本地

第 11 章：醫療保健市場中的人工智慧（按應用領域）

  • 診斷
    • 醫學影像
    • 病理檢測
  • 藥物研發
  • 治療

第 12 章醫療保健市場中的人工智慧（按最終用戶）

  • 醫療保健提供者
    • 診所
    • 醫院
  • 製藥公司
  • 研究機構和學術中心

第13章醫療保健領域的人工智慧市場（按疾病類型）

  • 心臟病學
  • 皮膚科
  • 胃腸病學
  • 神經病學
  • 婦產科
  • 腫瘤學
  • 眼科
  • 整形外科
  • 小兒科
  • 泌尿系統

14. 美國醫療保健市場人工智慧

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 阿根廷

15. 歐洲、中東和非洲地區醫療保健市場中的人工智慧

  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 南非
  • 丹麥
  • 荷蘭
  • 卡達
  • 芬蘭
  • 瑞典
  • 奈及利亞
  • 埃及
  • 土耳其
  • 以色列
  • 挪威
  • 波蘭
  • 瑞士

16. 亞太地區醫療保健人工智慧市場

  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • 印尼
  • 泰國
  • 菲律賓
  • 馬來西亞
  • 新加坡
  • 越南
  • 台灣

第17章競爭格局

  • 2024年市場佔有率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • 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18章 研究人工智慧

第19章 研究統計

第20章 研究聯絡人

第21章 研究報導

第22章 附錄

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