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醫療保健市場中的人工智慧（按類型、交付管道、疾病類別、應用、部署模式和最終用戶分類）—全球預測，2025-2030 年

Artificial Intelligence in Healthcare Market by Type, Delivery Channel, Disease Category, Application, Deployment Mode, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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預計到 2030 年，醫療保健領域的人工智慧市場將成長至 395.6 億美元，複合年成長率為 18.13%。

主要市場統計數據
基準年2024年 145.5億美元
預計2025年 170.1億美元
預測年份 2030 395.6億美元
複合年成長率（%） 18.13%

簡潔的框架展示了人工智慧將如何改變臨床護理、操作工作流程和研究途徑，但需要管治和臨床醫生的信任

人工智慧正在迅速重塑醫療保健服務、研究和管理的格局，使其能夠實現更精準的診斷、更有效率的工作流程，並開闢新的治療途徑。在臨床環境中，人工智慧主導的工具透過診斷影像中的模式識別、基因組解讀和即時病患監測，增強臨床醫師的決策能力。同時，商用應用程式正在利用人工智慧最佳化管理工作流程，簡化計費和預約安排，並實現更快的資訊搜尋和持續護理，從而縮短治療時間。先進演算法與更豐富的臨床資料集的融合，如今正使各機構能夠從概念驗證試點轉向能夠影響跨專業護理途徑的整合解決方案。

然而，將人工智慧的潛力轉化為日常實踐需要管理資料管治、互通性和臨床檢驗等複雜的交叉領域。有效的應用不僅依賴技術的穩健性，還依賴臨床醫生的信任、監管的協調以及患者預後的顯著改善。由於人工智慧模式多種多樣——從臨床決策支援系統到自然語言處理再到機器人手術——相關人員必須根據臨床準備情況、對勞動力的影響和倫理考量來評估解決方案。在此背景下，醫療保健領導者必須在快速創新與嚴格的評估框架之間取得平衡，以確保患者安全、公平應用以及與現有醫療生態系統的永續整合。

演算法精度、邊緣監控、影像分析和雲端基礎設施的進步如何重塑臨床實踐和商業性夥伴關係

醫療保健領域正在經歷變革時期，這得益於演算法能力、資料可用性和雲端原生基礎設施的進步。邊緣設備和穿戴式裝置能夠在傳統環境之外持續監測患者，從而產生適合近即時分析的高速感測器和生命徵象數據。同時，影像分析和電腦視覺技術的進步正在提昇放射學和病理學的診斷能力，從而能夠更早發現疾病並更準確地表徵疾病表現型。同時，人工智慧驅動的藥物研發平台和基因組分析正在縮短研究週期，並使標靶治療的開發更加數據主導且更具適應性。

這些技術變革伴隨著醫療保健交付和商業化的系統性變革。醫療系統正擴大與軟體和服務提供者合作，以加速整合，而支付方也越來越關注那些獎勵與檢驗的人工智慧工具相關的結果的報銷模式。臨床數據交換的互通性舉措和標準正在減少摩擦，並為多源數據整合帶來動力。因此，競爭格局正在從傳統的醫療技術和軟體供應商擴展到雲端服務供應商、專業分析公司、臨床實驗室和其他公司，每家公司都擁有自己獨特的能力。展望未來，最具影響力的創新將結合強大的臨床檢驗、無縫的工作流程整合以及對臨床醫生和患者的明確價值提案。

評估不斷變化的關稅和貿易政策如何造成供應鏈壓力、影響部署選擇並獎勵醫療人工智慧生態系統的製造業彈性

近期的關稅措施和貿易政策變化為人工智慧醫療技術的供應鏈規劃和供應商策略帶來了新的變數。影響監控設備、機器人和穿戴式裝置組件等硬體組件的關稅，可能會增加供應商和原始設備製造商的成本，並延長其採購週期。這種轉變將促使企業更加重視本地製造、多元化的供應商網路和策略性庫存規劃，以維持關鍵設備的持續供應。同時，影響資料中心硬體和網路元件的關稅可能會影響私有雲端部署和邊緣運算解決方案的經濟性，迫使企業重新評估其在公有雲、私有雲端、混合雲和本地架構之間的部署。

此外，採購團隊也擴大考慮貿易政策對供應商選擇的影響，傾向於選擇擁有韌性供應鏈和跨區域製造地的合作夥伴。法律和合規部門也必須考慮不斷變化的進出口法規，尤其是在跨司法管轄區採購醫療影像處理平台和機器人手術系統的專用組件時。因此，醫療保健組織和技術供應商正在重新調整策略採購，探索近岸外包和在岸外包方案，並將關稅敏感性分析納入合約談判，以期在最大程度上減少業務中斷的同時，確保能夠獲得關鍵的人工智慧功能。

根據類型、交付管道、資料類別、臨床應用、部署模式和最終用戶進行全面細分，以製定有針對性的採用策略

細緻的細分框架對於理解人工智慧在醫療保健領域的機會和採用途徑至關重要：硬體包括監測設備、機器人和穿戴式設備，旨在捕捉臨床訊號或協助完成程序任務；服務涵蓋諮詢服務、實施和整合服務以及維護和支援，以實現成功實施和生命週期管理；軟體涵蓋臨床決策支援系統、資料管理和分析工具、藥物發現平台、醫學源學平台和從不同語言處理的自然語言應用程式。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 人工智慧對簡化醫療管理工作流程和降低成本的影響
  • 醫療人工智慧系統中的倫理考量與資料隱私問題
  • 微創手術和復健機器人中的人工智慧應用
  • 引入人工智慧聊天機器人，用於病人參與和遠端醫療支持
  • 將人工智慧融入醫療圖像，以便及早發現異常
  • 利用自然語言處理來增強臨床文檔
  • 機器學習演算法對個人化治療計畫的影響
  • 人工智慧診斷工具的整合正在改變疾病檢測的準確性
  • 監管機構正在透過 PCCP 和上市後績效監測要求擴展自適應 AI/ML SaMD 的途徑。
  • 人工智慧衍生的數位生物標記合格使神經病學和心臟代謝試驗中的遠端終點成為可能。

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

第8章 醫療保健市場中的人工智慧（按類型）

  • 硬體
    • 監控設備
    • 機器人技術
    • 穿戴式裝置
  • 服務
    • 諮詢服務
    • 實施和整合服務
    • 維護和支援
  • 軟體
    • 臨床決策支援系統
    • 數據管理與分析
    • 藥物研發平台
    • 醫學影像平台
    • 自然語言處理應用

9. 醫療保健市場中的人工智慧（按交付管道）

  • 數位平台
  • 現場服務
  • 遠端服務

第10章 醫療保健市場中的人工智慧（依疾病類別）

  • 心血管疾病
  • 皮膚病
  • 胃腸道疾病
  • 神經系統疾病
  • 腫瘤疾病
  • 整形外科疾病
  • 呼吸系統疾病

第 11 章 醫療保健市場中的人工智慧應用

  • 管理工作流程
    • 預訂時間表
    • 帳單管理
    • 合規管理
    • 記錄管理
  • 診斷
    • 臨床試驗
    • 基因檢測
    • 病理診斷
    • 放射診斷
  • 病患監測
    • ICU監護
    • 遠端患者監護
    • 生命徵象監測
  • 治療管理
    • 最佳化藥物治療
    • 個人化醫療
    • 放射治療
    • 機器人手術

第 12 章醫療保健市場中的人工智慧（按部署模式）

  • 雲端基礎
  • 混合
  • 本地部署

第 13 章醫療保健市場中的人工智慧（按最終用戶）

  • 學術研究機構
  • 診斷中心
  • 醫院和醫療機構
  • 製藥和生物技術公司

第14章 醫療保健市場中的人工智慧（按地區）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第 15 章醫療保健市場中的人工智慧（按類別）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第 16 章 各國醫療保健市場中的人工智慧

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第17章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • GE Healthcare
    • Google, LLC by Alphabet, Inc.
    • International Business Machines Corporation
    • Koninklijke Philips NV
    • Microsoft Corporation
    • Nano-X Imaging Ltd.
    • Oracle Corporation
    • Siemens Healthineers AG
    • Amazon Web Services, Inc.
    • IQVIA Holdings Inc.
    • Salesforce, Inc.
Product Code: MRR-031BF22F9550

The Artificial Intelligence in Healthcare Market is projected to grow by USD 39.56 billion at a CAGR of 18.13% by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 14.55 billion
Estimated Year [2025] USD 17.01 billion
Forecast Year [2030] USD 39.56 billion
CAGR (%) 18.13%

A concise framing of how artificial intelligence is transforming clinical care, operational workflows, and research pathways while requiring governance and clinician trust

Artificial intelligence is rapidly reshaping the contours of healthcare delivery, research, and administration by enabling higher-precision diagnostics, more efficient workflows, and novel pathways for therapeutic discovery. In clinical settings, AI-driven tools are augmenting clinician decision-making through pattern recognition in imaging, genomic interpretation, and real-time patient monitoring. Concurrently, operational applications leverage AI to optimize administrative workflow, streamline billing and appointment scheduling, and reduce time-to-treatment by enabling faster information retrieval and continuity of care. The convergence of advanced algorithms with richer clinical data sets has allowed organizations to move from proof-of-concept pilots to integrated solutions that can influence care pathways across specialties.

However, translating AI potential into routine practice requires managing complex intersections of data governance, interoperability, and clinical validation. Effective adoption hinges not only on technological robustness but also on clinician trust, regulatory alignment, and demonstrable improvements in patient outcomes. Given the diversity of AI modalities-from clinical decision support systems to natural language processing and robotic surgery-stakeholders must evaluate solutions against clinical readiness, workforce implications, and ethical considerations. In this context, healthcare leaders must balance rapid innovation with stringent evaluative frameworks to ensure patient safety, equitable deployment, and sustainable integration within existing care ecosystems.

How advancements in algorithmic precision, edge monitoring, imaging analytics, and cloud infrastructure are reshaping clinical practice and commercial partnerships

The landscape of healthcare is undergoing transformative shifts driven by advances in algorithmic capability, data availability, and cloud-native infrastructure. Edge and wearable devices are enabling continuous patient monitoring outside traditional settings, which in turn generates high-velocity sensor and vital sign data suitable for near-real-time analytics. Simultaneously, improvements in imaging analytics and computer vision have elevated diagnostic performance for radiology and pathology, enabling earlier detection and more precise characterization of disease phenotypes. At the same time, AI-assisted drug discovery platforms and genomic analytics are compressing research timelines and making targeted therapy development more data-driven and adaptive.

These technological shifts are accompanied by systemic changes in delivery and commercialization. Health systems are increasingly partnering with software and services providers to accelerate integration, while payers show growing interest in reimbursement models that reward outcomes tied to validated AI tools. Interoperability initiatives and standards for clinical data exchange are gaining traction, lowering the friction for multi-source data synthesis. As a result, the competitive landscape is expanding beyond traditional medtech and software vendors to include cloud providers, specialty analytics firms, and clinical labs, each bringing distinct capabilities. Going forward, the most impactful innovations will be those that combine robust clinical validation with seamless workflow integration and clear value propositions for clinicians and patients.

Assessment of how evolving tariffs and trade policy create supply chain pressures, influence deployment choices, and incentivize manufacturing resilience in healthcare AI ecosystems

Recent tariff movements and changes in trade policy have introduced new variables into supply chain planning and vendor strategy for AI-enabled healthcare technologies. Tariffs that affect hardware components, such as monitoring equipment, robotics, and wearable device assemblies, can increase costs and elongate procurement cycles for providers and OEMs alike. These shifts place a premium on localized manufacturing, diversified supplier networks, and strategic inventory planning to maintain continuity of critical device availability. In parallel, tariffs that influence data center hardware and networking components can impact the economics of private cloud deployments and edge compute solutions, prompting organizations to reassess deployment modes between public cloud, private cloud, hybrid, and on-premise architectures.

Moreover, procurement teams are increasingly weighing the implications of trade policy on vendor selection, favoring partners with resilient supply chains and multi-region manufacturing footprints. Legal and compliance functions must also account for evolving import-export controls, especially where specialized components for medical imaging platforms or robotic surgery systems are sourced across jurisdictions. Consequently, healthcare organizations and technology vendors are recalibrating strategic sourcing, exploring nearshoring or onshoring options, and incorporating tariff sensitivity analyses into contractual negotiations, with the goal of minimizing operational disruption while preserving access to critical AI-enabled capabilities.

Comprehensive segmentation that delineates types, delivery channels, data categories, clinical applications, deployment modes, and end users to inform targeted adoption strategies

A nuanced segmentation framework is essential for understanding opportunities and implementation pathways across AI in healthcare. Based on Type, offerings can be categorized across Hardware, Services, and Software; hardware comprises monitoring equipment, robotics, and wearable devices designed to capture clinical signals or assist procedural tasks; services cover consulting services, deployment and integration services, and maintenance and support that enable successful implementation and lifecycle management; and software spans clinical decision support systems, data management and analysis tools, drug discovery platforms, medical imaging platforms, and natural language processing applications that extract clinical intelligence from diverse data sources.

Based on Delivery Channel, solutions are delivered through digital platforms, mobile applications, onsite services, remote services, and wearable devices, with mobile applications further segmented by operating environment into Android applications and iOS applications that determine integration and user experience considerations. Based on Organization Scale, adoption dynamics differ between large enterprises and small and medium enterprises, with larger systems often prioritizing integration at scale and SMEs emphasizing turnkey, lower-friction deployments. Based on Data Category, analytic approaches must accommodate genomic data, imaging data, semi-structured data, sensor data, structured data, and unstructured data; genomic data includes exome sequencing and whole genome sequencing datasets, while imaging data includes CT, MRI, and X-ray modalities that require specialized preprocessing and annotation workflows.

Based on Disease Category, AI applications address cardiovascular disorders, dermatological disorders, gastrointestinal disorders, neurological disorders, oncology disorders, orthopedic disorders, and respiratory disorders, each presenting unique diagnostic and therapeutic data patterns. Based on Application Area, implementations span administrative workflow, diagnostics, patient monitoring, and treatment management; administrative workflow includes appointment scheduling, billing management, compliance management, and record management, whereas diagnostics comprises clinical testing, genetic testing, pathology diagnostics, and radiology diagnostics; patient monitoring encompasses ICU monitoring, inpatient monitoring, remote patient monitoring, and vital sign monitoring; and treatment management covers drug therapy optimization, personalized medicine, radiation therapy, and robotic surgery. Based on Deployment Mode, environments are cloud-based, hybrid, and on-premise, with cloud-based options further differentiated into private cloud and public cloud to meet security and latency requirements. Finally, based on End User Type, primary adopters include diagnostic centers, hospitals, pharmaceutical companies, and research institutes, each of which demands distinct service levels, validation evidence, and regulatory documentation.

Regional dynamics and policy environments across the Americas, Europe, Middle East & Africa, and Asia-Pacific that influence adoption, validation, and commercialization strategies

Regional dynamics shape adoption pathways and regulatory expectations for AI in healthcare, with distinct drivers across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, concentrated healthcare delivery networks and established payer systems create an environment where clinical validation and reimbursement pathways can accelerate enterprise-scale deployments, while vibrant startup ecosystems and advanced research institutions drive innovation in drug discovery and imaging analytics. Cross-border collaborations and partnerships with cloud vendors are frequently leveraged to support scalability and translational research programs.

In Europe, Middle East & Africa, regulatory harmonization across certain jurisdictions and growing investment in digital health infrastructure influence deployment strategies, with an emphasis on privacy, data protection, and interoperability. Policymakers and health systems in these regions often prioritize robust governance frameworks and ethical AI use, prompting vendors to demonstrate compliance and explainability. Meanwhile, the Asia-Pacific region exhibits rapid adoption of mobile and remote monitoring solutions driven by large populations, heterogeneous care access, and strong public-private investment in health IT. Local manufacturing capacities, regulatory pathways, and regional partnerships are crucial considerations for vendors seeking to establish or expand footprints. Across regions, successful strategies balance compliance, clinical validation, and culturally appropriate patient engagement to ensure sustainable adoption and equitable benefits.

How leading firms combine clinical validation, interoperability, strategic partnerships, and service-led models to differentiate offerings and scale adoption

Leading organizations in this space are converging around differentiated strategies that combine technological depth with clinical domain expertise and regulatory acumen. Companies are investing in platform interoperability to enable integration with electronic health record systems and imaging archives, while concurrently building domain-specific models for oncology, cardiology, and neurology to accelerate clinical adoption. Strategic partnerships with academic medical centers and research institutes are common, enabling access to curated datasets, clinical validation cohorts, and real-world evidence necessary to support regulatory submissions and payer discussions. In parallel, alliances with cloud providers and systems integrators help vendors scale deployments and ensure robust data security and compliance.

Commercial strategies increasingly emphasize outcome-oriented value propositions, wherein vendors demonstrate how AI tools improve clinical workflows, reduce diagnostic variability, or enhance patient monitoring without adding clinician burden. Service models augment software and hardware offerings with consulting, deployment, and maintenance services to reduce implementation friction. Additionally, many companies are expanding their geographic footprint through localized partnerships and manufacturing arrangements to mitigate supply chain risks and comply with regional procurement requirements. Collectively, these strategic moves reflect a maturing competitive landscape in which differentiation is built on clinical validation, integration capabilities, and the ability to support complex enterprise requirements.

Actionable steps for healthcare leaders to align data governance, clinical validation, supply chain resilience, and workforce readiness for AI adoption

Industry leaders should adopt a pragmatic, evidence-driven roadmap that aligns technological investment with clinical priorities and operational constraints. First, prioritize data governance and interoperability initiatives to ensure high-quality, representative datasets and seamless integration with electronic health records and imaging systems. Next, design clinical validation studies that are pragmatic, reproducible, and embedded in care pathways so that results translate into actionable clinical adoption rather than isolated performance metrics. In procurement and supply chain planning, diversify sourcing and evaluate nearshoring options for critical hardware components while assessing the tariff sensitivities that could affect device availability and total cost of ownership.

Additionally, invest in workforce development and clinician engagement programs to build trust and fluency in AI-driven workflows; co-design interfaces with end users and pilot incrementally to gather feedback and iterate rapidly. From a security and compliance perspective, implement robust privacy preservation, auditing, and explainability features to meet regulatory expectations and support payer discussions. Consider hybrid deployment models to balance latency, control, and scalability while leveraging cloud partnerships for advanced analytics and model lifecycle management. Finally, pursue outcome-based contracts and evidence generation that demonstrate clinical and operational value, and maintain flexible commercial terms that accommodate organizational heterogeneity and evolving regulatory requirements.

A rigorous mixed-methods research approach integrating primary interviews, secondary literature, triangulation, segmentation mapping, and expert validation

This report synthesizes insights derived from a structured, methodical research approach combining primary and secondary sources, expert consultations, and iterative validation. Primary research included in-depth interviews with clinical leaders, technology executives, and supply chain managers to capture implementation realities and strategic priorities. Secondary research encompassed peer-reviewed literature, regulatory guidance documents, technical white papers, and vendor product literature to contextualize technological capabilities and evidence standards. Data triangulation techniques were used to reconcile differing perspectives and to identify consistent themes across sources.

Segmentation mapping was applied to classify technologies, delivery channels, data types, application areas, deployment modes, and end users, ensuring that analytic narratives remain aligned with real-world adoption scenarios. Qualitative analysis highlighted workflow integration challenges, clinician acceptance factors, and regulatory considerations, while thematic synthesis distilled recurring patterns around validation, interoperability, and commercialization. Validation rounds with independent subject-matter experts and clinicians refined the findings and ensured practical relevance. Constraints and limitations, including variations in regional regulatory regimes and heterogeneity in data quality, are acknowledged and factored into the interpretation of insights. Ethical considerations and data privacy protections informed the research design, and participant confidentiality was maintained throughout the study.

Synthesis of how evidence, interoperability, and cross-sector collaboration are essential to responsibly translate AI innovations into sustained clinical and operational impact

Artificial intelligence represents both a technological leap and an organizational challenge for healthcare. The most promising applications are those that demonstrably improve clinical decision-making, streamline administrative workflows, and enhance patient monitoring while aligning with regulatory and ethical frameworks. Adoption success depends on a combination of robust clinical evidence, seamless integration into clinician workflows, resilient supply chains, and forward-looking commercialization strategies. Regional regulatory differences and trade policy dynamics add layers of complexity but also create opportunities for localization and strategic partnerships.

As the ecosystem matures, stakeholders who focus on interoperable architectures, transparent validation practices, and patient-centric design will be best positioned to translate AI capabilities into measurable improvements in care delivery. Ultimately, the transition from pilot projects to sustained deployment requires sustained investment in data governance, clinician training, and outcome-oriented evidence generation. By following a disciplined, evidence-based approach and cultivating cross-sector collaborations, organizations can responsibly harness AI to deliver safer, more efficient, and more equitable healthcare.

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

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Influence of AI on streamlining healthcare administrative workflows and reducing costs
  • 5.2. Ethical considerations and data privacy challenges in healthcare AI systems
  • 5.3. AI applications in robotics for minimally invasive surgeries and rehabilitation
  • 5.4. Adoption of AI chatbots for patient engagement and telemedicine support
  • 5.5. Integration of AI in medical imaging for early detection of abnormalities
  • 5.6. Utilizing natural language processing to enhance clinical documentation
  • 5.7. Impact of machine learning algorithms on personalized treatment plans
  • 5.8. Integration of AI-powered diagnostic tools are transforming disease detection accuracy
  • 5.9. Regulators expand pathways for adaptive AI/ML SaMD with PCCPs and post-market performance monitoring requirements
  • 5.10. Qualification of AI-derived digital biomarkers enables remote endpoints for neurology and cardiometabolic trials

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Healthcare Market, by Type

  • 8.1. Hardware
    • 8.1.1. Monitoring Equipment
    • 8.1.2. Robotics
    • 8.1.3. Wearable Devices
  • 8.2. Services
    • 8.2.1. Consulting Services
    • 8.2.2. Deployment & Integration Services
    • 8.2.3. Maintenance & Support
  • 8.3. Software
    • 8.3.1. Clinical Decision Support Systems
    • 8.3.2. Data Management & Analysis
    • 8.3.3. Drug Discovery Platforms
    • 8.3.4. Medical Imaging Platforms
    • 8.3.5. Natural Language Processing Applications

9. Artificial Intelligence in Healthcare Market, by Delivery Channel

  • 9.1. Digital Platforms
  • 9.2. Onsite Services
  • 9.3. Remote Services

10. Artificial Intelligence in Healthcare Market, by Disease Category

  • 10.1. Cardiovascular Disorders
  • 10.2. Dermatological Disorders
  • 10.3. Gastrointestinal Disorders
  • 10.4. Neurological Disorders
  • 10.5. Oncology Disorders
  • 10.6. Orthopedic Disorders
  • 10.7. Respiratory Disorders

11. Artificial Intelligence in Healthcare Market, by Application

  • 11.1. Administrative Workflow
    • 11.1.1. Appointment Scheduling
    • 11.1.2. Billing Management
    • 11.1.3. Compliance Management
    • 11.1.4. Record Management
  • 11.2. Diagnostics
    • 11.2.1. Clinical Testing
    • 11.2.2. Genetic Testing
    • 11.2.3. Pathology Diagnostics
    • 11.2.4. Radiology Diagnostics
  • 11.3. Patient Monitoring
    • 11.3.1. ICU Monitoring
    • 11.3.2. Remote Patient Monitoring
    • 11.3.3. Vital Sign Monitoring
  • 11.4. Treatment Management
    • 11.4.1. Drug Therapy Optimization
    • 11.4.2. Personalized Medicine
    • 11.4.3. Radiation Therapy
    • 11.4.4. Robotic Surgery

12. Artificial Intelligence in Healthcare Market, by Deployment Mode

  • 12.1. Cloud-Based
  • 12.2. Hybrid
  • 12.3. On-Premise

13. Artificial Intelligence in Healthcare Market, by End-User

  • 13.1. Academic & Research Institutions
  • 13.2. Diagnostic Centers
  • 13.3. Hospitals & Healthcare Providers
  • 13.4. Pharmaceutical & Biotechnology Companies

14. Artificial Intelligence in Healthcare Market, by Region

  • 14.1. Americas
    • 14.1.1. North America
    • 14.1.2. Latin America
  • 14.2. Europe, Middle East & Africa
    • 14.2.1. Europe
    • 14.2.2. Middle East
    • 14.2.3. Africa
  • 14.3. Asia-Pacific

15. Artificial Intelligence in Healthcare Market, by Group

  • 15.1. ASEAN
  • 15.2. GCC
  • 15.3. European Union
  • 15.4. BRICS
  • 15.5. G7
  • 15.6. NATO

16. Artificial Intelligence in Healthcare Market, by Country

  • 16.1. United States
  • 16.2. Canada
  • 16.3. Mexico
  • 16.4. Brazil
  • 16.5. United Kingdom
  • 16.6. Germany
  • 16.7. France
  • 16.8. Russia
  • 16.9. Italy
  • 16.10. Spain
  • 16.11. China
  • 16.12. India
  • 16.13. Japan
  • 16.14. Australia
  • 16.15. South Korea

17. Competitive Landscape

  • 17.1. Market Share Analysis, 2024
  • 17.2. FPNV Positioning Matrix, 2024
  • 17.3. Competitive Analysis
    • 17.3.1. GE Healthcare
    • 17.3.2. Google, LLC by Alphabet, Inc.
    • 17.3.3. International Business Machines Corporation
    • 17.3.4. Koninklijke Philips N.V.
    • 17.3.5. Microsoft Corporation
    • 17.3.6. Nano-X Imaging Ltd.
    • 17.3.7. Oracle Corporation
    • 17.3.8. Siemens Healthineers AG
    • 17.3.9. Amazon Web Services, Inc.
    • 17.3.10. IQVIA Holdings Inc.
    • 17.3.11. Salesforce, Inc.

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TYPE, 2024 VS 2030 (%)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DELIVERY CHANNEL, 2024 VS 2030 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DELIVERY CHANNEL, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DISEASE CATEGORY, 2024 VS 2030 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DISEASE CATEGORY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 17. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 19. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 21. AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. ASEAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 25. GCC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 27. BRICS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 28. G7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 29. NATO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 31. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 32. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, 2025-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TYPE, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TYPE, 2025-2030 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MONITORING EQUIPMENT, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ROBOTICS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY WEARABLE DEVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CONSULTING SERVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DEPLOYMENT & INTEGRATION SERVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL DECISION SUPPORT SYSTEMS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DATA MANAGEMENT & ANALYSIS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY PLATFORMS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING PLATFORMS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING APPLICATIONS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DELIVERY CHANNEL, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DELIVERY CHANNEL, 2025-2030 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIGITAL PLATFORMS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONSITE SERVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE SERVICES, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DISEASE CATEGORY, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DISEASE CATEGORY, 2025-2030 (USD MILLION)
  • TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CARDIOVASCULAR DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DERMATOLOGICAL DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GASTROINTESTINAL DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY NEUROLOGICAL DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ONCOLOGY DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ORTHOPEDIC DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RESPIRATORY DISORDERS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, 2025-2030 (USD MILLION)
  • TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ADMINISTRATIVE WORKFLOW, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPOINTMENT SCHEDULING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY BILLING MANAGEMENT, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY COMPLIANCE MANAGEMENT, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RECORD MANAGEMENT, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, 2025-2030 (USD MILLION)
  • TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY DIAGNOSTICS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY CLINICAL TESTING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY GENETIC TESTING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATHOLOGY DIAGNOSTICS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY RADIOLOGY DIAGNOSTICS, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, 2025-2030 (USD MILLION)
  • TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY PATIENT MONITORING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 237. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 238. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY ICU MONITORING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 241. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 242. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 243. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 244. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 245. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 246. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REMOTE PATIENT MONITORING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 247. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 248. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 249. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 250. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 251. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 252. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY VITAL SIGN MONITORING, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 253. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 254. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 255. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 256. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 257. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 258. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, BY GROUP, 2025-2030 (USD MILLION)
  • TABLE 259. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 260. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY TREATMENT MANAGE