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市场调查报告书
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1896245

人工智慧驱动的诊断和预测医学市场预测至2032年：按组件、治疗领域、数据类型、技术、应用、最终用户和地区分類的全球分析

AI Driven Diagnostics & Predictive Care Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware and Services), Disease Area, Data Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，全球人工智慧驱动的诊断和预测医学市场预计到 2025 年将达到 19.4 亿美元，到 2032 年将达到 80.1 亿美元，在预测期内的复合年增长率为 22.4%。

人工智慧驱动的诊断和预测医学是指利用人工智慧 (AI)、机器学习和进阶数据分析技术来改善疾病检测、诊断和预后。透过分析大量的临床记录、医学影像、基因组资讯和即时患者数据，人工智慧系统能够识别出有助于早期诊断和製定个人化治疗方案的模式。预测医学则专注于在症状恶化之前预测健康风险，从而实现预防性干预。这种方法以传统医疗实践为基础，并藉助数位化创新，提高了临床准确性，降低了医疗成本，改善了患者预后，并支持建立一个积极主动、数据驱动的医疗保健生态系统。

巨量资料和进阶分析

巨量资料和先进分析技术是人工智慧驱动的诊断和预测医学市场的关键驱动力。电子健康记录、医学影像资料库、基因组数据以及即时病患监测的日益普及，为人工智慧演算法的开发提供了沃土。先进的分析技术能够更快地识别模式、进行风险分层并提供临床决策支援。这些功能提高了诊断准确性，减少了人为错误，并有助于更早发现疾病，加速了其在全球医院、诊断中心和研究机构的应用。

医护人员采取谨慎态度

医疗专业人员的抵触情绪仍是限制市场成长的主要因素。许多临床医生对依赖人工智慧驱动的洞察持谨慎态度，因为他们担心临床决策的准确性、透明度和课责。对人工智慧系统缺乏了解、担心工作流程中断以及对改变长期以来既定诊断实践的抵触情绪都在减缓人工智慧的普及。此外，人工智慧模型缺乏足够的训练和可解释性，造成了信任危机，尤其是在高风险的诊断和预测性医疗应用中。

政府措施和资金筹措

政府的各项措施和资金投入为市场提供了强劲的成长机会。公共部门对数位医疗基础设施、人工智慧研究和医疗现代化领域的投资正在加速人工智慧驱动诊断技术的应用。国家层级推行的疾病早期检测、精准医疗和数据驱动型医疗策略，正鼓励医院和研究机构采用预测性医疗解决方案。津贴，政府拨款、试验计画和监管沙盒等机制，透过支持Start-Ups和成熟公司在公共医疗系统中推广人工智慧技术，进一步推动了创新。

监理不确定性

监管的不确定性对市场构成重大威胁。人工智慧检验、数据使用、临床责任和演算法透明度等方面的法规在不同地区差异显着。频繁的监管变化会增加合规成本并延缓产品核可。人工智慧辅助诊断领域责任认定方面的不明确准则为服务提供者和开发商带来法律风险。这种不确定性可能会抑制投资、减缓创新，并限制人工智慧驱动的诊断解决方案的跨境部署。

新冠疫情的影响

新冠疫情加速了人工智慧工具在快速诊断、疾病进展预测和患者分诊方面的应用，对人工智慧驱动的诊断和预测医学市场产生了积极影响。人工智慧影像分析和预测模型为不堪重负的医疗系统提供了支援。然而，这场危机也暴露了数据品质和基础设施的不足。总体而言，新冠疫情增强了人工智慧在临床环境中的接受度，并凸显了预测分析在未来医疗韧性方面的重要性。

预计在预测期内，肿瘤治疗领域将占据最大的市场份额。

由于肿瘤治疗的高度复杂性、数据密集性以及对早期癌症检测的迫切需求，预计在预测期内，肿瘤领域将占据最大的市场份额。人工智慧驱动的诊断利用影像和基因组数据来增强肿瘤识别、预测治疗反应并选择个人化治疗方案。全球癌症发生率的上升以及精准肿瘤解决方案的日益普及进一步推动了市场需求，使肿瘤领域成为人工智慧驱动的诊断和预测医学最突出的应用领域。

预计在预测期内，诊断影像领域将呈现最高的复合年增长率。

由于人工智慧影像解决方案在精准早期疾病检测方面的应用日益广泛，因此诊断影像领域预计在预测期内将实现最高成长率。先进的机器学习演算法能够提升X光、 电脑断层扫描和MRI影像的解读准确率，从而减少诊断错误并提高工作流程效率。对非侵入性快速诊断技术的需求不断增长，以及预测分析技术的整合应用，共同推动了这一领域的成长。人工智慧成像平台和云端解决方案的技术创新进一步加速了其在全球范围内的应用。

比最大的地区

预计亚太地区将在预测期内占据最大的市场份额，这主要得益于医疗基础设施的不断完善、数位医疗的日益普及以及政府对人工智慧驱动的诊断技术投入的不断增加。慢性病盛行率的上升、医院网路的不断扩展以及医学影像设施的激增将推动市场成长。此外，公共和私营部门为实现医疗系统现代化和采用预测性医疗解决方案所采取的倡议，也正在加速人工智慧的普及。该地区经济高效的医疗服务和庞大的患者群体，使其成为人工智慧整合的关键市场。

年复合成长率最高的地区

在预测期内，由于电子健康记录 (EHR) 的广泛应用和对人工智慧 (AI) 研究的大量投资，北美地区预计将实现最高的复合年增长率 (CAGR)。人们对精准医疗的高度重视、预测分析的日益融合以及强有力的资金支持，正在推动人工智慧驱动的诊断技术的快速普及。主要技术提供者的存在和丰富的临床数据将进一步促进成长。北美地区对创新、疾病早期检测和个人化医疗的重视，将加速人工智慧解决方案在医院和研究机构的应用。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧驱动的诊断和预测医学市场（按组件划分）

  • 软体
  • 硬体
    • 人工智慧成像系统
    • 穿戴式装置和物联网设备
    • 边缘人工智慧设备
  • 服务
    • 实施与集成
    • 培训和咨询
    • 支援与维护

6. 全球人工智慧驱动的诊断和预测医学市场（按疾病领域划分）

  • 肿瘤学
  • 心血管疾病
  • 神经系统疾病
  • 呼吸系统疾病
  • 糖尿病和代谢性疾病
  • 感染疾病
  • 罕见疾病

7. 全球人工智慧驱动的诊断和预测医学市场（按数据类型划分）

  • 医学影像数据
  • 电子健康纪录（EHR）
  • 基因组/体学数据
  • 穿戴式装置和远端监测数据
  • 临床记录和非结构化数据

8. 全球人工智慧驱动的诊断和预测医学市场（按技术划分）

  • 机器学习
  • 深度学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 人工智慧世代
  • 混合人工智慧模型

9. 全球人工智慧驱动的诊断和预测医学市场（按应用划分）

  • 诊断影像
  • 预测医学
    • 疾病风险预测
    • 预测患者病情恶化
    • 再入院预测
    • 治疗结果预测
  • 优化临床工作流程
  • 人口健康管理

第十章 全球人工智慧驱动的诊断和预测医学市场（按最终用户划分）

  • 医院诊所
  • 影像中心
  • 门诊治疗中心
  • 学术和研究机构
  • 医疗保险公司
  • 製药和生物技术公司

第十一章 区域人工智慧驱动的诊断与预测医学市场

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • Siemens Healthineers
  • Butterfly Network
  • GE HealthCare
  • Enlitic
  • Aidoc
  • Lunit
  • IBM Watson Health
  • Arterys
  • Philips Healthcare
  • Paige AI
  • Zebra Medical Vision
  • Qure.ai
  • Tempus
  • Freenome
  • PathAI
Product Code: SMRC32933

According to Stratistics MRC, the Global AI Driven Diagnostics & Predictive Care Market is accounted for $1.94 billion in 2025 and is expected to reach $8.01 billion by 2032 growing at a CAGR of 22.4% during the forecast period. AI Driven Diagnostics & Predictive Care refers to the use of artificial intelligence, machine learning, and advanced data analytics to improve disease detection, diagnosis, and outcome prediction. By analyzing vast volumes of clinical records, medical imaging, genomics, and real-time patient data, AI systems identify patterns that support early diagnosis and personalized treatment planning. Predictive care focuses on anticipating health risks before symptoms escalate, enabling preventive interventions. Grounded in traditional medical practice and strengthened by digital innovation, this approach enhances clinical accuracy, reduces healthcare costs, improves patient outcomes, and supports a proactive, data-driven healthcare ecosystem.

Market Dynamics:

Driver:

Big Data & Advanced Analytics

Big data and advanced analytics are the central drivers of the AI Driven Diagnostics & Predictive Care Market. The growing availability of electronic health records, medical imaging databases, genomic data, and real-time patient monitoring creates fertile ground for AI algorithms. Advanced analytics enable faster pattern recognition, risk stratification, and clinical decision support. These capabilities improve diagnostic precision, reduce human error, and allow early disease detection, accelerating adoption across hospitals, diagnostic centers, and research institutions worldwide.

Restraint:

Reluctance among Medical Practitioners

Reluctance among medical practitioners remains a key restraint to market growth. Many clinicians are cautious about relying on AI-driven insights due to concerns over accuracy, transparency, and accountability in clinical decision-making. Limited understanding of AI systems, fear of workflow disruption, and resistance to changing long-established diagnostic practices slows adoption. Additionally, lack of adequate training and explainability in AI models creates trust gaps, particularly in high-stakes diagnostic and predictive care applications.

Opportunity:

Government Initiatives & Funding

Government initiatives and funding present's strong growth opportunities for the market. Public investments in digital health infrastructure, AI research, and healthcare modernization are accelerating adoption of AI-driven diagnostics. National strategies promoting early disease detection, precision medicine, and data-driven healthcare encourage hospitals and research institutions to deploy predictive care solutions. Grants, pilot programs, and regulatory sandboxes further support innovation, enabling startups and established players to scale AI technologies across public healthcare systems.

Threat:

Regulatory Uncertainty

Regulatory uncertainty poses a significant threat to the market. Regulations governing AI validation, data usage, clinical liability, and algorithm transparency vary widely across regions. Frequent regulatory changes increase compliance costs and delay product approvals. Unclear guidelines on accountability in AI-assisted diagnosis create legal risks for providers and developers. This uncertainty can discourage investment, slow innovation, and restrict cross-border deployment of AI-driven diagnostic solutions.

Covid-19 Impact:

The COVID-19 pandemic positively influenced the AI Driven Diagnostics & Predictive Care Market by accelerating adoption of AI tools for rapid diagnosis, disease progression prediction, and patient triage. AI-powered imaging analysis and predictive models supported overwhelmed healthcare systems. However, the crisis also exposed data quality gaps and infrastructure limitations. Overall, COVID-19 strengthened acceptance of AI in clinical settings and reinforced the importance of predictive analytics for future healthcare resilience.

The oncology segment is expected to be the largest during the forecast period

The oncology segment is expected to account for the largest market share during the forecast period, due to the high complexity, data intensity, and critical need for early cancer detection. AI-driven diagnostics enhance tumor identification, treatment response prediction, and personalized therapy selection using imaging and genomic data. Rising global cancer prevalence and increasing adoption of precision oncology solutions further drive demand, making oncology the most prominent application area for AI-driven diagnostics and predictive care.

The diagnostic imaging segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the diagnostic imaging segment is predicted to witness the highest growth rate, due to increasing adoption of AI-powered imaging solutions for precise and early disease detection. Advanced machine learning algorithms enhance interpretation of X-rays, CT scans, and MRIs, reducing diagnostic errors and improving workflow efficiency. Rising demand for non-invasive, rapid diagnostic techniques, coupled with the integration of predictive analytics, fuels growth. Technological innovations in AI-enabled imaging platforms and cloud-based solutions further accelerate adoption globally.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to expanding healthcare infrastructure, growing digital health adoption, and increasing government investments in AI-driven diagnostics. Rising prevalence of chronic diseases, expanding hospital networks, and a surge in medical imaging facilities support market growth. Additionally, public and private sector initiatives to modernize healthcare systems and deploy predictive care solutions accelerate adoption. The region's cost-effective healthcare services and large patient population make it a prime market for AI integration.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to widespread electronic health record adoption, and significant AI research investments. High awareness of precision medicine, increasing integration of predictive analytics, and strong funding support drive rapid deployment of AI-driven diagnostics. The presence of leading technology providers and extensive clinical data availability further fuels growth. North America's focus on innovation, early disease detection, and personalized care ensures accelerated adoption of AI solutions across hospitals and research institutions.

Key players in the market

Some of the key players in AI Driven Diagnostics & Predictive Care Market include Siemens Healthineers, Butterfly Network, GE HealthCare, Enlitic, Aidoc, Lunit, IBM Watson Health, Arterys, Philips Healthcare, Paige AI, Zebra Medical Vision, Qure.ai, Tempus, Freenome, and PathAI.

Key Developments:

In November 2025, Siemens Healthineers introduced Syngo Carbon 2.0, an upgraded enterprise imaging platform. The launch integrates multimodal imaging data, AI-powered workflow automation, and cloud-based collaboration, designed to streamline radiology operations and improve diagnostic accuracy across global healthcare systems.

In October 2025, Siemens Healthineers expanded its collaboration with Varian and multiple oncology centers to accelerate precision therapy solutions. The joint venture integrates imaging, radiation therapy, and AI-driven planning tools, aiming to improve cancer treatment outcomes and strengthen Siemens' leadership in oncology care.

Components Covered:

  • Software
  • Hardware
  • Services

Disease Areas Covered:

  • Oncology
  • Cardiovascular Diseases
  • Neurological Disorders
  • Respiratory Diseases
  • Diabetes & Metabolic Disorders
  • Infectious Diseases
  • Rare Diseases

Data Types Covered:

  • Medical Imaging Data
  • Electronic Health Records (EHR)
  • Genomic & Omics Data
  • Wearable & Remote Monitoring Data
  • Clinical Notes & Unstructured Data

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Generative AI
  • Hybrid AI Models

Applications Covered:

  • Diagnostic Imaging
  • Predictive Care
  • Clinical Workflow Optimization
  • Population Health Management

End Users Covered:

  • Hospitals & Clinics
  • Diagnostic Imaging Centers
  • Ambulatory Care Centers
  • Academic & Research Institutes
  • Healthcare Payers
  • Pharmaceutical & Biotechnology Companies

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Driven Diagnostics & Predictive Care Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware
    • 5.3.1 AI-Enabled Imaging Systems
    • 5.3.2 Wearable & IoT Devices
    • 5.3.3 Edge AI Devices
  • 5.4 Services
    • 5.4.1 Implementation & Integration
    • 5.4.2 Training & Consulting
    • 5.4.3 Support & Maintenance

6 Global AI Driven Diagnostics & Predictive Care Market, By Disease Area

  • 6.1 Introduction
  • 6.2 Oncology
  • 6.3 Cardiovascular Diseases
  • 6.4 Neurological Disorders
  • 6.5 Respiratory Diseases
  • 6.6 Diabetes & Metabolic Disorders
  • 6.7 Infectious Diseases
  • 6.8 Rare Diseases

7 Global AI Driven Diagnostics & Predictive Care Market, By Data Type

  • 7.1 Introduction
  • 7.2 Medical Imaging Data
  • 7.3 Electronic Health Records (EHR)
  • 7.4 Genomic & Omics Data
  • 7.5 Wearable & Remote Monitoring Data
  • 7.6 Clinical Notes & Unstructured Data

8 Global AI Driven Diagnostics & Predictive Care Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
  • 8.3 Deep Learning
  • 8.4 Natural Language Processing (NLP)
  • 8.5 Computer Vision
  • 8.6 Generative AI
  • 8.7 Hybrid AI Models

9 Global AI Driven Diagnostics & Predictive Care Market, By Application

  • 9.1 Introduction
  • 9.2 Diagnostic Imaging
  • 9.3 Predictive Care
    • 9.3.1 Disease Risk Prediction
    • 9.3.2 Patient Deterioration Prediction
    • 9.3.3 Hospital Readmission Prediction
    • 9.3.4 Treatment Outcome Prediction
  • 9.4 Clinical Workflow Optimization
  • 9.5 Population Health Management

10 Global AI Driven Diagnostics & Predictive Care Market, By End User

  • 10.1 Introduction
  • 10.2 Hospitals & Clinics
  • 10.3 Diagnostic Imaging Centers
  • 10.4 Ambulatory Care Centers
  • 10.5 Academic & Research Institutes
  • 10.6 Healthcare Payers
  • 10.7 Pharmaceutical & Biotechnology Companies

11 Global AI Driven Diagnostics & Predictive Care Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Siemens Healthineers
  • 13.2 Butterfly Network
  • 13.3 GE HealthCare
  • 13.4 Enlitic
  • 13.5 Aidoc
  • 13.6 Lunit
  • 13.7 IBM Watson Health
  • 13.8 Arterys
  • 13.9 Philips Healthcare
  • 13.10 Paige AI
  • 13.11 Zebra Medical Vision
  • 13.12 Qure.ai
  • 13.13 Tempus
  • 13.14 Freenome
  • 13.15 PathAI

List of Tables

  • Table 1 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 5 Global AI Driven Diagnostics & Predictive Care Market Outlook, By AI-Enabled Imaging Systems (2024-2032) ($MN)
  • Table 6 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Wearable & IoT Devices (2024-2032) ($MN)
  • Table 7 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Edge AI Devices (2024-2032) ($MN)
  • Table 8 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Implementation & Integration (2024-2032) ($MN)
  • Table 10 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Training & Consulting (2024-2032) ($MN)
  • Table 11 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 12 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Disease Area (2024-2032) ($MN)
  • Table 13 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Oncology (2024-2032) ($MN)
  • Table 14 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Cardiovascular Diseases (2024-2032) ($MN)
  • Table 15 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Neurological Disorders (2024-2032) ($MN)
  • Table 16 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Respiratory Diseases (2024-2032) ($MN)
  • Table 17 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Diabetes & Metabolic Disorders (2024-2032) ($MN)
  • Table 18 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Infectious Diseases (2024-2032) ($MN)
  • Table 19 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Rare Diseases (2024-2032) ($MN)
  • Table 20 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 21 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Medical Imaging Data (2024-2032) ($MN)
  • Table 22 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Electronic Health Records (EHR) (2024-2032) ($MN)
  • Table 23 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Genomic & Omics Data (2024-2032) ($MN)
  • Table 24 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Wearable & Remote Monitoring Data (2024-2032) ($MN)
  • Table 25 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Clinical Notes & Unstructured Data (2024-2032) ($MN)
  • Table 26 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 28 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 29 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 30 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 31 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 32 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Hybrid AI Models (2024-2032) ($MN)
  • Table 33 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Application (2024-2032) ($MN)
  • Table 34 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Diagnostic Imaging (2024-2032) ($MN)
  • Table 35 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Predictive Care (2024-2032) ($MN)
  • Table 36 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Disease Risk Prediction (2024-2032) ($MN)
  • Table 37 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Patient Deterioration Prediction (2024-2032) ($MN)
  • Table 38 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Hospital Readmission Prediction (2024-2032) ($MN)
  • Table 39 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Treatment Outcome Prediction (2024-2032) ($MN)
  • Table 40 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Clinical Workflow Optimization (2024-2032) ($MN)
  • Table 41 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Population Health Management (2024-2032) ($MN)
  • Table 42 Global AI Driven Diagnostics & Predictive Care Market Outlook, By End User (2024-2032) ($MN)
  • Table 43 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 44 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Diagnostic Imaging Centers (2024-2032) ($MN)
  • Table 45 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Ambulatory Care Centers (2024-2032) ($MN)
  • Table 46 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Academic & Research Institutes (2024-2032) ($MN)
  • Table 47 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Healthcare Payers (2024-2032) ($MN)
  • Table 48 Global AI Driven Diagnostics & Predictive Care Market Outlook, By Pharmaceutical & Biotechnology Companies (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.