医疗诊断影像人工智慧市场：按组件、影像技术、应用和最终用户划分－全球预测，2025-2032年

预计到 2032 年，医学影像人工智慧市场规模将达到 169.1 亿美元，复合年增长率为 28.64%。

关键市场统计数据
基准年 2024	22.5亿美元
预计年份：2025年	28.7亿美元
预测年份 2032	169.1亿美元
复合年增长率 (%)	28.64%

在医疗图像诊断领域策略性地应用人工智慧，可作为推动临床转型、加速科学研究和提高营运效率的催化剂。

人工智慧在医疗图像影像领域的应用已从充满前景的研究方向发展成为提升诊断准确性、实现工作流程自动化和支援临床决策的关键推动因素。本文将阐述为何人工智慧驱动的诊断影像解决方案不再是边缘实验，而是成为现代医疗服务体系的核心组成部分。演算法效能的提升，加上计算资源的改善和丰富的影像资料集，正在加速研究原型向临床相关工具的转化，这些工具能够辅助放射科医生、支援多学科团队并简化行政流程。

随着医疗机构面临影像处理量不断增长、人员短缺以及提供以价值为导向的诊疗结果的压力，人工智慧提供了一种切实可行的方法，可以提高影像解读的效率和一致性，同时加快诊断速度。同时，影像处理硬体、软体演算法和服务之间的整合正在催生新的经营模式，涵盖设备製造商、软体供应商和服务整合商。整合在带来更完善的端到端解决方案的同时，也凸显了互通性、资料管治和严格的临床检验的重要性。

在此背景下，相关人员必须权衡技术性能、监管合规性和临床效用。因此，人工智慧应用策略规划不仅需要技术评估，还需要营运准备、工作流程重组和相关人员参与。本执行摘要总结了技术趋势、政策影响、细分市场影响、区域动态和公司层面的策略，旨在为临床、商业和政策领域的决策提供支援。

一种新的人工智慧范式如何重塑诊断工作流程、影像解读和临床决策，从而彻底改变医疗保健运营

过去几年，医学影像的采集、处理和解读方式发生了翻天覆地的变化。其中一个根本性的变化是深度学习架构的成熟，它能够为病灶检测、量化和分诊优先排序等任务提供具有临床意义的性能。随着演算法变得更加稳健，以及对数据需求较高的演算法能够存取更大、更完善的数据集，它们正逐渐被临床接受，使临床医生能够将人工智慧的输出结果整合到诊断工作流程中，作为决策支援而非盲目得出结论。

同时，人工智慧与影像处理硬体和企业系统的整合正在改变采购和营运模式。影像设备越来越多地配备内建分析功能、订阅式软体和可选的託管服务，从而将资本支出转变为营运支出。伴随这种转变，端到端互通性的重要性日益凸显：人工智慧工具必须与影像归檔和通讯系统、电子健康记录以及报告平台无缝集成，以确保医疗服务的连续性。

另一项重要变化是监管的演变。监管机构正在製定演算法透明度、效能监控和上市后监管框架，这些框架正在影响供应商的蓝图和医疗系统的采纳策略。此外，临床医生、资料科学家和供应商之间的协作模式正逐渐成为常态，支援人工智慧模型的迭代检验和本地校准。总而言之，这些转变加速了临床整合，同时也凸显了对强而有力的管治、透明的检验和临床变更管理进行投资的必要性。

评估美国关税政策对全球医疗影像供应链、筹资策略和设备定价动态到2025年的累积影响

2025年的关税环境为整个医疗影像生态系统中的供应商、采购商和整合商带来了额外的复杂性。进口关税和跨境贸易政策的变化对供应链策略、采购决策以及影像处理硬体和软体解决方案的总体拥有成本产生了连锁反应。供应商和医疗系统正在调整筹资策略，以减轻关税引起的成本波动的影响，同时确保获得关键技术。

为应对关税压力，许多供应商正在加速推动生产製造和零件采购的多元化。在条件允许的情况下，他们会将生产转移或扩展到多个地区，以减少对单一供应走廊的依赖，并维持价格稳定。这种地理上的重新分配虽然短期内会延长供应链，但长期来看却能增强供应链的韧性。同时，采购团队也正在重新协商合约条款，以应对关税带来的各种突发情况，并确保更灵活的维护和升级安排，从而降低资本风险。

关税也会影响伙伴关係策略。供应商越来越倾向于寻求本地伙伴关係、许可协议和共同开发契约，以便进入对关税敏感的市场。对于临床营运商而言，策略性的库存管理和加强与供应商的服务关係对于确保医疗服务的执行时间和连续性至关重要。最终，儘管关税会带来短期成本和物流方面的挑战，但它们也推动了整个产业的结构调整，优先考虑供应链的韧性、本地合作和更聪明的采购框架。

关键细分洞察揭示了组件、成像技术、应用和最终用户方面的差异如何影响采用路径和解决方案策略。

了解采用模式和商业化路径需要仔细分析市场如何从组件、成像技术、应用和最终用户等维度进行细分。组件细分区分硬体、软体和服务，服务进一步细分为託管服务和专业服务。影像技术细分区分CT扫描仪、MRI系统、超音波设备和X光系统，每种设备都面临不同的整合挑战、临床工作流程和监管要求，这些都会影响人工智慧的开发重点。

应用细分揭示了人工智慧在临床领域的主要需求集中方向。心臟病学和神经病学的应用案例通常需要高时空精度，并能从专业分析中获益。最终用户细分则揭示了学术和研究机构、诊断中心以及医院和诊所在采购週期和采用驱动因素方面的差异。学术机构更倾向于早期检验和复杂的应用案例，诊断中心优先考虑吞吐量和周转时间效率，而医院和诊所则优先考虑互通性、供应商支援以及与更广泛的诊疗路径的整合。

这种细分对于供应商和医疗系统至关重要，它可以帮助供应商和医疗系统根据每个客户群的独特需求调整产品设计、服务模式和检验策略。因此，基于细分进行规划可以实现更有针对性的市场推广策略、更有针对性的临床研究和差异化的支援服务，从而提高产品被采纳的可能性和临床应用效果。

美洲、欧洲、中东和非洲以及亚太地区的区域动态和战略细微差别，塑造了采纳、监管和伙伴关係生态系统。

区域动态正显着影响人工智慧在医学影像处理领域的应用轨迹，在美洲、欧洲、中东和非洲以及亚太地区形成了不同的监管、报销和伙伴关係格局。在美洲，创新中心和早期采用者的医疗系统加速了概念验证的部署，而复杂的支付方环境则凸显了证明临床和经济价值的证据的重要性。该地区的监管路径侧重于安全性和有效性，跨境合作通常侧重于数据协调，以进行多中心检验。

在中东和非洲，复杂的监管环境既限制技术的普及，也促进技术的推广应用。欧洲不断发展的监管标准要求透明度和上市后监管，促使供应商更加重视可解释性和实际性能监控。对影像处理基础设施和策略伙伴关係的投资为中东和非洲创造了成长机会，有助于跨越传统的普及曲线，但最终的成功取决于本地能力建设和人才培养。

亚太地区基础设施快速扩张，拥有庞大的人口资料集，各国政府积极推动医疗数位化。这些因素为加速部署人工智慧影像处理解决方案创造了有利条件，但当地法规和资料主权方面的考量要求制定谨慎的合规策略。成功进入任何地区的市场都需要临床检验、监管合规以及符合当地医疗服务模式和报销实际情况的文化适应性商业化计划。

对领先的医疗技术和人工智慧公司进行竞争对手和合作伙伴层面的分析，并专注于它们的创新策略、合作模式和技术融合。

医疗图像人工智慧领域的企业层面动态反映了竞争差异化与合作生态系统的融合。新兴的先行者正在部署多管齐下的策略，结合内部演算法开发、与影像设备製造商的合作以及临床网络，以加速检验和市场准入。创新策略通常强调平台方法，支援跨模态的模组化分析，使供应商能够提供整合硬体、软体和託管服务的捆绑式解决方案。

随着人们逐渐认识到将演算法专长与临床领域知识和影像处理硬体能力相结合的价值，战略伙伴关係正变得越来越普遍。与临床机构的共同开发契约能够加快取得註释资料集的速度，并有助于进行实际效能评估；而以服务为导向的模式（尤其是託管服务）则使供应商能够提供持续的最佳化、模型维护和效能监控，从而提升长期客户价值和差异化优势。

併购和授权仍将是扩大规模的核心槓桿，尤其对于那些寻求快速获取互补技术和地理市场的公司而言更是如此。同时，注重人工智慧伦理实践、透明检验和健全的上市后监管正成为一项竞争优势，而不仅仅是监管要求。在这种环境下，拥有可靠临床证据、可扩展部署模式和强大客户支援的公司将更有利于获取价值并实现长期永续发展。

为产业领导者提供切实可行的建议，以加速安全地整合人工智慧、优化采购并增强临床和商业性价值提案。

产业领导者必须采取果断措施，将技术前景转化为持续的临床和商业性价值。首先，各机构应优先进行严格的临床检验，使性能指标与真实世界的终点和临床医生的工作流程相符，从而确保人工智慧的输出在临床诊疗中具有可操作性和可信度。投资前瞻性研究、多中心试验和部署后监测有助于赢得支付方、监管机构和临床医生的信任。

其次，企业应设计可互通的解决方案，使其与现有显像模式、医院资讯系统以及云端或本地基础设施无缝整合。互通性可减少部署摩擦，并支援在异质 IT 环境中进行可扩展部署。第三，营运准备至关重要。领导阶层必须投入资源用于临床医生培训、变更管理和持续的模式管治，以维持绩效并应对长期偏差。

第四，供应链和筹资策略必须纳入因应关税和贸易中断的紧急应变计画。第五，必须透过上市后监测，将道德和监管合规性融入产品设计，并以透明的方式报告其局限性和性能。最后，领导者应探索平衡前期前期投资、订阅和管理服务的商业模式，以协调奖励并维持长期客户关係。这些措施的共同作用，能够加速更安全医疗保健的普及，并创造可持续的竞争优势。

严谨的调查方法，说明资料来源、分析架构、检验方案和相关人员参与情况，确保了结论的实证性。

本研究综合分析采用多方法，结合了主要相关人员的参与、二级资讯来源的三角验证以及系统性的分析框架，以确保研究结果的稳健性和有效性。主要资讯来源包括对临床医生、影像技师、采购负责人和技术主管的结构化访谈，从而获得关于临床效用、营运限制和采购驱动因素的第一手观点。二手分析则利用专家同行评审文献、监管指导文件和公开的临床检验研究来支持​​研究结论并追踪临床影响的证据。

本研究采用的分析架构包括针对特定模式的评估矩阵、风险与合规性评估以及综合准备度评分，用于从技术、临床和营运层面比较各种解决方案。资料检验方案透过独立研究对报告的绩效指标进行交叉检验，并在可能的情况下考虑上市后监测机制。相关人员参与方案确保来自不同地域和医疗机构的观点得到体现，从而能够深入了解区域和最终用户差异。

为了提高透明度，调查方法文檔中详细记录了假设、纳入标准和局限性，并概述了我们如何将定性见解与定量指标结合。我们也在适当情况下进行了敏感度分析，以检验比较判断的稳健性。这种严谨的调查方法为我们结论的可信度奠定了基础，并为后续的更新和扩展提供了可复製的基础。

这是一份综合性报告，它汇集了技术、监管、商业和临床等多个学科，并重点阐述了对整个生态系统相关人员的实际意义。

总之，人工智慧正在从技术、营运和商业性层面重塑医疗图像。演算法能力的提升及其与影像处理平台的集成，催生了新的诊断工作流程并提高了效率；与此同时，监管的日趋成熟和支付方的严格审查，正促使供应商将工作重心转向透明的检验和可衡量的临床价值。组件、模式、应用和最终用户细分之间的相互作用表明，单一方法无法适用于所有市场。相反，针对学术研究中心、诊断机构和医院的具体需求量身定制的策略，才是实现持续应用的最佳途径。

从区域层面来看，市场驱动因素和监管预期各不相同，这带来了独特的机会和挑战。 2025年的关税趋势将增加供应链的复杂性，但同时也将促进更灵活的采购和本地化的伙伴关係。在企业层面，那些能够将严谨的临床证据、互通性、可扩展的服务模式和强大的上市后管治结合的组织将取得最大的成功。

最终，供应商、临床医生、支付方和监管机构需要采取协同行动，以确保人工智慧赋能的影像技术能够实际提高诊断准确性、工作流程效率和病患疗效。透过将技术创新与临床需求和强有力的管治相结合，相关人员可以充分发挥人工智慧的潜力，同时管控风险，并在不同的医疗保健系统中促进其永续应用。

目录

第一章：序言

第二章调查方法

第三章执行摘要

第四章 市场概览

第五章 市场洞察

• 人工智慧医疗图像应用中的伦理考量与偏见缓解策略
• 即时人工智慧辅助成像技术在外科手术的应用
• 利用机器学习模型根据影像资料预测患者预后
• 开发一种结合影像数据和基因组资讯的混合人工智慧系统
• 将深度学习模型整合到医疗保健领域，用于即时影像分析
• 开发一种可解释的人工智慧系统，用于透明的医学影像解读
• 拓展人工智慧在多模态成像技术与分析的应用
• 云端基础人工智慧平台在可扩展医疗影像解决方案的应用日益广泛
• 人工智慧开发者和医疗服务提供者携手合作，优化诊断影像结果
• 影响人工智慧在医学影像领域应用的监管挑战和框架

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

8. 医疗诊断成像领域人工智慧市场（按组件划分）

• 硬体
• 服务
  • 託管服务
  • 专业服务
• 软体

9. 人工智慧在医疗诊断影像技术中的市场

• CT扫描仪
• 磁振造影系统
• 超音波设备
• X射线系统

第十章 人工智慧在医疗诊断影像领域的应用市场

• 心臟病学
• 神经病学
• 肿瘤学
• 病理
• 放射科

第十一章 按最终用户分類的医疗诊断成像人工智慧市场

• 学术研究机构
• 诊断中心
• 医院和诊所

第十二章 区域医疗诊断影像人工智慧市场

• 美洲
  • 北美洲
  • 拉丁美洲
• 欧洲、中东和非洲
  • 欧洲
  • 中东
  • 非洲
• 亚太地区

第十三章 医疗诊断影像领域人工智慧市场（按群体划分）

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

第十四章 各国医疗诊断影像人工智慧市场

• 美国
• 加拿大
• 墨西哥
• 巴西
• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 中国
• 印度
• 日本
• 澳洲
• 韩国

第十五章 竞争格局

• 2024年市占率分析
• FPNV定位矩阵，2024
• 竞争分析
  • aetherAI
  • Agfa-Gevaert Group
  • Behold.ai Technologies Limited
  • Brainomix Limited
  • Butterfly Network, Inc.
  • Cancer Center.ai
  • CureMetrix, Inc.
  • Dr CADx
  • EchoNous, Inc.
  • Enlitic, Inc.
  • Fujifilm Holdings Corporation
  • GE Healthcare
  • Intelerad Medical Systems Incorporated
  • Koninklijke Philips NV
  • Nano-X Imaging Ltd.
  • Nuance Communications, Inc.
  • NVIDIA Corporation
  • RetinAI
  • Shanghai United Imaging Healthcare Co., LTD
  • Siemens Healthineers AG
  • SigTuple Technologies Private Limited.
  • Subtle Medical
  • Tempus AI, Inc
  • Volpara Health Technologies Ltd.
  • Brainminer Ltd

The Artificial Intelligence in Medical Imaging Market is projected to grow by USD 16.91 billion at a CAGR of 28.64% by 2032.

KEY MARKET STATISTICS
Base Year [2024]	USD 2.25 billion
Estimated Year [2025]	USD 2.87 billion
Forecast Year [2032]	USD 16.91 billion
CAGR (%)	28.64%

A strategic introduction that frames artificial intelligence in medical imaging as a catalyst for clinical transformation, research acceleration, and operational efficiency

Artificial intelligence in medical imaging has evolved from a promising research area into a critical enabler of diagnostic precision, workflow automation, and clinical decision support. This introduction sets the context for why AI-driven imaging solutions are no longer peripheral experiments but central components of modern care delivery. Advances in algorithmic performance, combined with improved computational resources and richer image datasets, have accelerated the translation of research prototypes into clinically relevant tools that augment radiologists, support multidisciplinary teams, and streamline administrative processes.

As care providers contend with growing imaging volumes, workforce shortages, and pressure to deliver value-based outcomes, AI offers tangible levers to enhance throughput and interpretive consistency while reducing time-to-diagnosis. At the same time, the intersection of imaging hardware, software algorithms, and services is creating new business models that span device manufacturers, software vendors, and service integrators. These convergences introduce both opportunities and complexities: while integration promises better end-to-end solutions, it also heightens the importance of interoperability, data governance, and rigorous clinical validation.

In this landscape, stakeholders must balance technical performance with regulatory compliance and clinical utility. Therefore, strategic planning for AI adoption requires not only technical appraisal but also operational readiness, workflow redesign, and stakeholder engagement. This executive summary will synthesize technological trends, policy influences, segmentation implications, regional dynamics, and company-level strategies to support informed decision-making across clinical, commercial, and policy domains.

How emerging AI paradigms are reshaping diagnostic workflows, image interpretation, and clinical decision-making across care settings with profound operational shifts

The last several years have witnessed transformative shifts that are redefining how medical images are acquired, processed, and interpreted. One fundamental change is the maturation of deep learning architectures that deliver clinically meaningful performance for tasks such as lesion detection, quantification, and triage prioritization. As algorithms become more robust and data-hungry approaches find access to larger curated datasets, clinical acceptance has increased, enabling practitioners to incorporate AI outputs into diagnostic workflows as decision support rather than black-box conclusions.

Concurrently, the integration of AI into imaging hardware and enterprise systems is changing procurement and operational models. Imaging devices are increasingly offered with embedded analytics, subscription-based software, and optional managed services that shift capital expenditures toward operational expenditure frameworks. This shift is accompanied by a growing emphasis on end-to-end interoperability: AI tools must integrate seamlessly with picture archiving and communication systems, electronic health records, and reporting platforms to preserve continuity of care.

Another pivotal shift is regulatory evolution. Regulators are developing frameworks for algorithm transparency, performance monitoring, and post-market surveillance, which in turn shapes vendor roadmaps and health system adoption strategies. Moreover, collaborative models between clinicians, data scientists, and vendors are becoming the norm, supporting iterative validation and local calibration of AI models. Taken together, these shifts accelerate clinical integration while underscoring the need for robust governance, transparent validation, and investment in clinical change management.

Evaluating the cumulative effects of United States tariff policies in 2025 on global medical imaging supply chains, procurement strategies, and device pricing dynamics

The tariff environment in 2025 has introduced additional layers of complexity for suppliers, purchasers, and integrators across the medical imaging ecosystem. Changes in import duties and cross-border trade policies have a cascading influence on supply chain strategies, sourcing decisions, and the total cost of ownership for imaging hardware and software-enabled solutions. Vendors and health systems are recalibrating procurement strategies to mitigate exposure to tariff-driven cost fluctuations while maintaining access to critical technologies.

In response to tariff pressures, many suppliers are accelerating diversification of manufacturing and component sourcing. Where feasible, production is relocated or expanded across multiple jurisdictions to reduce reliance on a single supply corridor and to preserve price stability. This geographic redistribution can lengthen supply chains in the near term while introducing resilience benefits over time. Simultaneously, procurement teams are renegotiating contract terms to reflect tariff contingencies and to secure more flexible maintenance and upgrade arrangements that limit capital risk.

Tariffs also influence partnership strategies: vendors increasingly explore local partnerships, licensing arrangements, and co-development agreements to penetrate tariff-sensitive markets. For clinical operators, strategic inventory management and stronger vendor-service relationships become essential to ensure uptime and continuity of care. Ultimately, while tariffs introduce short-term cost and logistical challenges, they are also catalyzing structural adjustments that prioritize supply chain resilience, local collaboration, and smarter procurement frameworks across the sector.

Key segmentation-driven insights revealing how component, imaging technology, application, and end-user distinctions influence adoption pathways and solution strategies

Understanding adoption patterns and commercialization pathways requires close attention to how the market is segmented along component, imaging technology, application, and end-user dimensions. Component segmentation differentiates hardware from software and services, with services further subdivided into managed and professional offerings, and this split clarifies which players derive recurring revenue versus those focused on capital equipment sales. Imaging technology segmentation distinguishes CT scanners, MRI systems, ultrasound devices, and X-ray systems, each with distinct integration challenges, clinical workflows, and regulatory expectations that influence AI development priorities.

Application segmentation reveals where clinical demand for AI is most concentrated: cardiology and neurology use cases often require high temporal and spatial fidelity and benefit from specialized analytics; oncology and radiology applications demand robust lesion detection and characterization; pathology-driven image analysis is advancing as digitization of slides accelerates. End-user segmentation highlights differing procurement cycles and adoption drivers among academic and research institutions, diagnostic centers, and hospitals and clinics. Academic centers frequently drive early validation and complex use cases, diagnostic centers emphasize throughput and turn-around time efficiencies, and hospitals and clinics prioritize interoperability, vendor support, and integration into broader care pathways.

These segmentation lenses are essential for vendors and health systems to match product design, service models, and validation strategies to the specific needs of each buyer cohort. Consequently, segmentation-aware planning enables more precise go-to-market approaches, targeted clinical studies, and differentiated support services that increase adoption likelihood and clinical impact.

Regional dynamics and strategic nuances across the Americas, Europe Middle East & Africa, and Asia-Pacific that shape adoption, regulation, and partnership ecosystems

Regional dynamics profoundly shape the trajectory of AI adoption in medical imaging, producing divergent regulatory, reimbursement, and partnership landscapes across the Americas, Europe Middle East & Africa, and Asia-Pacific. In the Americas, innovation hubs and early-adopter health systems accelerate proof-of-concept deployments, while a complex payer environment underscores the importance of evidence demonstrating clinical and economic value. Regulatory pathways in this region emphasize safety and efficacy, and cross-border collaborations often focus on data harmonization for multi-center validation.

In Europe Middle East & Africa, the regulatory mosaic introduces both constraints and incentives for adoption. Europe's evolving regulatory standards demand transparency and post-market vigilance, prompting vendors to emphasize explainability and real-world performance monitoring. In the Middle East and Africa, growth opportunities are shaped by investment in imaging infrastructure and strategic partnerships that can leapfrog traditional adoption curves, but success depends on local capacity-building and workforce training.

The Asia-Pacific region is characterized by rapid infrastructure expansion, large population-scale datasets, and proactive government initiatives to digitize healthcare. These factors create fertile ground for accelerated deployment of AI-enabled imaging solutions, though local regulatory and data sovereignty considerations necessitate careful compliance strategies. Across all regions, successful market entry combines clinical validation, regulatory alignment, and culturally attuned commercialization plans that reflect local care delivery models and reimbursement realities.

Competitive and collaborative company-level insights highlighting innovation strategies, partnership models, and technology convergence among leading medtech and AI firms

Company-level dynamics in the medical imaging AI space reflect a blend of competitive differentiation and collaborative ecosystems. Leading organizations deploy multi-pronged strategies that combine in-house algorithm development, partnerships with imaging device manufacturers, and alliances with clinical networks to accelerate validation and market reach. Innovation strategies often emphasize platform approaches that support modular analytics across modalities, enabling vendors to offer bundled solutions that integrate hardware, software, and managed services.

Strategic partnerships are increasingly common as companies recognize the value of combining algorithmic expertise with clinical domain knowledge and imaging hardware capabilities. Co-development agreements with clinical sites expedite access to annotated datasets and facilitate real-world performance assessments. Meanwhile, service-oriented models-particularly managed services-allow vendors to provide continuous optimization, model maintenance, and performance monitoring, enhancing long-term customer value and differentiation.

Mergers, acquisitions, and licensing arrangements remain a core route to scale, especially for firms seeking rapid access to complementary technologies or geographic markets. At the same time, emphasis on ethical AI practices, transparent validation, and robust post-market surveillance is becoming a competitive requirement, not just a regulatory checkbox. In this environment, companies that combine credible clinical evidence, scalable deployment models, and strong customer support will be best positioned to capture value and sustain adoption over time.

Actionable recommendations for industry leaders to accelerate safe AI integration, optimize procurement, and strengthen clinical and commercial value propositions

Industry leaders must take decisive steps to translate technological promise into sustained clinical and commercial value. First, organizations should prioritize rigorous clinical validation that aligns performance metrics with real-world endpoints and clinician workflows, thereby ensuring that AI outputs are actionable and trusted at the point of care. Investing in prospective studies, multi-center trials, and post-deployment monitoring will build credibility with payers, regulators, and clinicians alike.

Second, companies should design interoperable solutions that integrate smoothly with existing imaging modalities, hospital information systems, and cloud or on-premises infrastructures. Interoperability reduces friction during deployment and supports scalable rollouts across heterogeneous IT environments. Third, operational readiness is essential: leadership should allocate resources for clinician training, change management, and continuous model governance to maintain performance and address drift over time.

Fourth, supply chain and procurement strategies must incorporate contingency planning for tariff and trade disruptions, emphasizing diversified sourcing and local partnerships where appropriate. Fifth, ethical and regulatory compliance should be embedded from product design through post-market surveillance, with transparent reporting of limitations and performance. Finally, leaders should explore commercial models that balance upfront capital with subscription and managed services to align incentives and sustain long-term relationships with customers. Collectively, these actions will accelerate safe adoption and create durable competitive advantage.

A rigorous research methodology describing data sources, analytical frameworks, validation protocols, and stakeholder engagement used to ensure evidence-based conclusions

This research synthesis is grounded in a multi-method approach that combines primary stakeholder engagement, secondary source triangulation, and systematic analytical frameworks to ensure robustness and relevance. Primary inputs include structured interviews with clinicians, imaging technicians, procurement leaders, and technology executives, providing firsthand perspectives on clinical utility, operational constraints, and purchase drivers. Secondary analysis draws on peer-reviewed literature, regulatory guidance documents, and publicly available clinical validation studies to corroborate claims and trace evidence of clinical impact.

Analytical frameworks employed in the study include modality-specific evaluation matrices, risk and compliance assessments, and integration readiness scoring to compare solutions across technical, clinical, and operational dimensions. Data validation protocols encompass cross-verification of reported performance metrics with independent studies and examination of post-market surveillance mechanisms where available. Stakeholder engagement protocols ensure that diverse geographic and care-setting perspectives are represented, enabling a nuanced understanding of regional and end-user variations.

To enhance transparency, the methodology documents assumptions, inclusion criteria, and limitations, and it outlines how qualitative insights were synthesized with quantitative indicators. Sensitivity analyses were applied where appropriate to test the robustness of comparative judgments. This methodological rigor supports confidence in the conclusions and provides a replicable foundation for subsequent updates and extensions.

A conclusive synthesis drawing together technological, regulatory, commercial, and clinical threads to articulate practical implications for stakeholders across the ecosystem

In conclusion, artificial intelligence is reshaping medical imaging across technological, operational, and commercial dimensions. Advances in algorithmic capability and integration into imaging platforms are enabling new diagnostic workflows and efficiency gains, while regulatory maturation and payor scrutiny are redirecting vendor priorities toward transparent validation and measurable clinical value. The interplay of component, modality, application, and end-user segmentation highlights that no single approach will fit all markets; instead, tailored strategies that reflect the specific needs of academic research centers, diagnostic facilities, and hospitals yield the highest probability of sustained adoption.

Regionally, the market is characterized by differentiated adoption drivers and regulatory expectations, with each geography offering unique opportunities and constraints. Tariff dynamics in 2025 are introducing supply chain complexity but are also incentivizing more resilient procurement and localized partnerships. At the company level, the most successful organizations will be those that combine rigorous clinical evidence, interoperability, scalable service models, and strong post-market governance.

Ultimately, the path forward requires coordinated action across vendors, clinicians, payers, and regulators to ensure that AI-enabled imaging technologies deliver measurable improvements in diagnostic accuracy, workflow efficiency, and patient outcomes. By aligning technological innovation with clinical needs and robust governance, stakeholders can realize the full potential of AI while managing risk and fostering sustainable adoption across diverse healthcare systems.

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. Ethical considerations and bias mitigation strategies in AI medical imaging applications
• 5.2. Emergence of real-time AI-assisted imaging techniques in surgical procedures
• 5.3. Use of machine learning models to predict patient outcomes from imaging data
• 5.4. Development of hybrid AI systems combining imaging data with genomic information
• 5.5. Integration of deep learning models for real-time image analysis in healthcare
• 5.6. Development of explainable AI systems for transparent medical image interpretation
• 5.7. Expansion of AI applications in multi-modal imaging techniques and analytics
• 5.8. Increasing use of cloud-based AI platforms for scalable medical imaging solutions
• 5.9. Collaboration between AI developers and healthcare providers to optimize imaging outcomes
• 5.10. Regulatory challenges and frameworks shaping the deployment of AI in medical imaging

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Medical Imaging Market, by Component

• 8.1. Hardware
• 8.2. Services
  • 8.2.1. Managed Services
  • 8.2.2. Professional Services
• 8.3. Software

9. Artificial Intelligence in Medical Imaging Market, by Imaging Technology

• 9.1. CT Scanners
• 9.2. MRI Systems
• 9.3. Ultrasound Devices
• 9.4. X-ray Systems

10. Artificial Intelligence in Medical Imaging Market, by Application

• 10.1. Cardiology
• 10.2. Neurology
• 10.3. Oncology
• 10.4. Pathology
• 10.5. Radiology

11. Artificial Intelligence in Medical Imaging Market, by End-User

• 11.1. Academic & Research Institutions
• 11.2. Diagnostic Centers
• 11.3. Hospitals & Clinics

12. Artificial Intelligence in Medical Imaging Market, by Region

• 12.1. Americas
  • 12.1.1. North America
  • 12.1.2. Latin America
• 12.2. Europe, Middle East & Africa
  • 12.2.1. Europe
  • 12.2.2. Middle East
  • 12.2.3. Africa
• 12.3. Asia-Pacific

13. Artificial Intelligence in Medical Imaging Market, by Group

• 13.1. ASEAN
• 13.2. GCC
• 13.3. European Union
• 13.4. BRICS
• 13.5. G7
• 13.6. NATO

14. Artificial Intelligence in Medical Imaging Market, by Country

• 14.1. United States
• 14.2. Canada
• 14.3. Mexico
• 14.4. Brazil
• 14.5. United Kingdom
• 14.6. Germany
• 14.7. France
• 14.8. Russia
• 14.9. Italy
• 14.10. Spain
• 14.11. China
• 14.12. India
• 14.13. Japan
• 14.14. Australia
• 14.15. South Korea

15. Competitive Landscape

• 15.1. Market Share Analysis, 2024
• 15.2. FPNV Positioning Matrix, 2024
• 15.3. Competitive Analysis
  • 15.3.1. aetherAI
  • 15.3.2. Agfa-Gevaert Group
  • 15.3.3. Behold.ai Technologies Limited
  • 15.3.4. Brainomix Limited
  • 15.3.5. Butterfly Network, Inc.
  • 15.3.6. Cancer Center.ai
  • 15.3.7. CureMetrix, Inc.
  • 15.3.8. Dr CADx
  • 15.3.9. EchoNous, Inc.
  • 15.3.10. Enlitic, Inc.
  • 15.3.11. Fujifilm Holdings Corporation
  • 15.3.12. GE Healthcare
  • 15.3.13. Intelerad Medical Systems Incorporated
  • 15.3.14. Koninklijke Philips N.V.
  • 15.3.15. Nano-X Imaging Ltd.
  • 15.3.16. Nuance Communications, Inc.
  • 15.3.17. NVIDIA Corporation
  • 15.3.18. RetinAI
  • 15.3.19. Shanghai United Imaging Healthcare Co., LTD
  • 15.3.20. Siemens Healthineers AG
  • 15.3.21. SigTuple Technologies Private Limited.
  • 15.3.22. Subtle Medical
  • 15.3.23. Tempus AI, Inc
  • 15.3.24. Volpara Health Technologies Ltd.
  • 15.3.25. Brainminer Ltd

LIST OF FIGURES

• FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, 2018-2032 (USD MILLION)
• FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2024 VS 2032 (%)
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2024 VS 2032 (%)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2024 VS 2032 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 12. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 13. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 14. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 15. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 16. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 17. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 20. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 21. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 22. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 23. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 24. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 25. NATO ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 27. ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 28. ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, 2018-2024 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, 2025-2032 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HARDWARE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SOFTWARE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CT SCANNERS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY MRI SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY REGION, 2018-2024 (USD MILLION)
• TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY REGION, 2025-2032 (USD MILLION)
• TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ULTRASOUND DEVICES, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY X-RAY SYSTEMS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY CARDIOLOGY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY NEUROLOGY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ONCOLOGY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY PATHOLOGY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY REGION, 2018-2024 (USD MILLION)
• TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY REGION, 2025-2032 (USD MILLION)
• TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY RADIOLOGY, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY DIAGNOSTIC CENTERS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY HOSPITALS & CLINICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
• TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
• TABLE 119. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
• TABLE 120. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
• TABLE 121. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 122. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 123. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 124. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 125. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 126. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 127. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 128. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 129. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 130. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 131. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 132. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 133. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 134. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 135. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 136. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 137. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 138. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 139. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 140. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 141. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 142. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 143. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 144. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 145. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 146. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 147. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 148. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 149. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 150. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 151. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 152. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 153. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 154. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 155. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
• TABLE 156. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
• TABLE 157. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 158. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 159. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 160. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 161. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 162. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 163. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 164. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 165. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 166. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 167. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 168. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 169. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 170. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 171. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 172. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 173. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 174. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 175. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 176. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 177. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 178. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 179. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 180. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 181. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 182. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 183. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 184. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 185. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 186. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 187. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 188. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 189. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 190. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 191. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 192. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 193. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 194. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 195. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 196. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 197. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 198. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 199. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 200. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 201. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 202. AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 203. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 204. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 205. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 206. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 207. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 208. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 209. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 210. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 211. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 212. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 213. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 214. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 217. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 218. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 219. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 220. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 221. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 222. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 223. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 224. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 225. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 226. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 227. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 228. ASEAN ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 229. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 230. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 231. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 232. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 233. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 234. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 235. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 236. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 237. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 238. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 239. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 240. GCC ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 241. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 242. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 243. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 244. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 245. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 246. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 247. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 248. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 249. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 250. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 251. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 252. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 253. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 254. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 255. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 256. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 257. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 258. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 259. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 260. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 261. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 262. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 263. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
• TABLE 264. BRICS ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
• TABLE 265. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 266. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 267. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
• TABLE 268. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY COMPONENT, 2025-2032 (USD MILLION)
• TABLE 269. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
• TABLE 270. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
• TABLE 271. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 272. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY IMAGING TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 273. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 274. G7 ARTIFICIAL INTELLIGENCE IN MEDICAL IMAG