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醫療診斷影像人工智慧市場：按組件、影像技術、應用和最終用戶分類－全球預測，2025-2032年

Artificial Intelligence in Medical Imaging Market by Component, Imaging Technology, Application, End-User - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 191 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，醫學影像人工智慧市場規模將達到 169.1 億美元，複合年成長率為 28.64%。

關鍵市場統計數據
基準年 2024 22.5億美元
預計年份：2025年 28.7億美元
預測年份 2032 169.1億美元
複合年成長率 (%) 28.64%

在醫療圖像診斷領域策略性地應用人工智慧，可作為推動臨床轉型、加速科學研究和提高營運效率的催化劑。

人工智慧在醫療圖像影像領域的應用已從充滿前景的研究方向發展成為提升診斷準確性、實現工作流程自動化和支援臨床決策的關鍵推動因素。本文將闡述為何人工智慧驅動的診斷影像解決方案不再是邊緣實驗，而是成為現代醫療服務體系的核心組成部分。演算法效能的提升，加上計算資源的改善和豐富的影像資料集，正在加速研究原型向臨床相關工具的轉化，這些工具能夠輔助放射科醫生、支援多學科團隊並簡化行政流程。

隨著醫療機構面臨影像處理量不斷成長、人員短缺以及提供以價值為導向的診療結果的壓力，人工智慧提供了一種切實可行的方法，可以提高影像解讀的效率和一致性，同時加快診斷速度。同時，影像處理硬體、軟體演算法和服務之間的整合正在催生新的經營模式，涵蓋設備製造商、軟體供應商和服務整合商。整合在帶來更完善的端到端解決方案的同時，也凸顯了互通性、資料管治和嚴格的臨床檢驗的重要性。

在此背景下，相關人員必須權衡技術性能、監管合規性和臨床效用。因此，人工智慧應用策略規劃不僅需要技術評估，還需要營運準備、工作流程重組和相關人員參與。本執行摘要總結了技術趨勢、政策影響、細分市場影響、區域動態和公司層面的策略，旨在為臨床、商業和政策領域的決策提供支援。

一種新的人工智慧範式如何重塑診斷工作流程、影像解讀和臨床決策，從而徹底改變醫療保健營運

過去幾年，醫學影像的採集、處理和解讀方式發生了翻天覆地的變化。其中一個根本性的變化是深度學習架構的成熟，它能夠為病灶檢測、量化和分診優先排序等任務提供具有臨床意義的性能。隨著演算法變得更加穩健，以及對數據需求較高的演算法能夠存取更大、更完善的資料集，它們正逐漸被臨床接受，使臨床醫生能夠將人工智慧的輸出結果整合到診斷工作流程中，作為決策支援而非盲目得出結論。

同時，人工智慧與影像處理硬體和企業系統的整合正在改變採購和營運模式。影像設備擴大配備內建分析功能、訂閱式軟體和可選的託管服務，從而將資本支出轉變為營運支出。伴隨這種轉變，端到端互通性的重要性日益凸顯：人工智慧工具必須與影像歸檔和通訊系統、電子健康記錄以及報告平台無縫整合，以確保醫療服務的連續性。

另一項重要變化是監管的演變。監管機構正在製定演算法透明度、效能監控和上市後監管框架，這些框架正在影響供應商的藍圖和醫療系統的採納策略。此外，臨床醫生、資料科學家和供應商之間的協作模式正逐漸成為常態，支援人工智慧模型的迭代檢驗和本地校準。總而言之，這些轉變加速了臨床整合，同時也凸顯了對強而有力的管治、透明的檢驗和臨床變更管理進行投資的必要性。

評估美國關稅政策對全球醫療影像供應鏈、籌資策略和設備定價動態到2025年的累積影響

2025年的關稅環境為整個醫療影像生態系統中的供應商、採購商和整合商帶來了額外的複雜性。進口關稅和跨境貿易政策的變化對供應鏈策略、採購決策以及影像處理硬體和軟體解決方案的總體擁有成本產生了連鎖反應。供應商和醫療系統正在調整籌資策略，以減輕關稅引起的成本波動的影響，同時確保獲得關鍵技術。

為應對關稅壓力，許多供應商正在加速推動生產製造和零件採購的多元化。在條件允許的情況下，他們會將生產轉移或擴展到多個地區，以減少對單一供應走廊的依賴，並維持價格穩定。這種地理上的重新分配雖然短期內會延長供應鏈，但長期來看卻能增強供應鏈的韌性。同時，採購團隊也正在重新協商合約條款，以應對關稅帶來的各種突發情況，並確保更靈活的維護和升級安排，從而降低資本風險。

關稅也會影響夥伴關係策略。供應商越來越傾向於尋求本地夥伴關係、許可協議和共同開發契約，以便進入對關稅敏感的市場。對於臨床營運商而言，策略性的庫存管理和加強與供應商的服務關係對於確保醫療服務的執行時間和連續性至關重要。最終，儘管關稅會帶來短期成本和物流方面的挑戰，但它們也推動了整個產業的結構調整，優先考慮供應鏈的韌性、本地合作和更聰明的採購框架。

關鍵細分洞察揭示了組件、成像技術、應用和最終用戶方面的差異如何影響採用路徑和解決方案策略。

了解採用模式和商業化路徑需要仔細分析市場如何從組件、成像技術、應用和最終用戶等維度進行細分。組件細分區分硬體、軟體和服務，服務進一步細分為託管服務和專業服務。影像技術細分區分CT掃描儀、MRI系統、超音波設備和X光系統，每種設備都面臨不同的整合挑戰、臨床工作流程和監管要求，這些都會影響人工智慧的開發重點。

應用細分揭示了人工智慧在臨床領域的主要需求集中方向。心臟病學和神經病學的應用案例通常需要高時空精度，並能從專業分析中獲益。最終用戶細分則揭示了學術和研究機構、診斷中心以及醫院和診所在採購週期和採用促進因素方面的差異。學術機構更傾向於早期檢驗和複雜的應用案例，診斷中心優先考慮吞吐量和周轉時間效率，而醫院和診所則優先考慮互通性、供應商支援以及與更廣泛的診療路徑的整合。

這種細分對於供應商和醫療系統至關重要，它可以幫助供應商和醫療系統根據每個客戶群的獨特需求調整產品設計、服務模式和檢驗策略。因此，基於細分進行規劃可以實現更有針對性的市場推廣策略、更有針對性的臨床研究和差異化的支援服務，從而提高產品被採納的可能性和臨床應用效果。

美洲、歐洲、中東和非洲以及亞太地區的區域動態和戰略細微差別，塑造了採納、監管和夥伴關係生態系統。

區域動態正顯著影響人工智慧在醫學影像處理領域的應用軌跡，在美洲、歐洲、中東和非洲以及亞太地區形成了不同的監管、報銷和夥伴關係格局。在美洲，創新中心和早期採用者的醫療系統加速了概念驗證的部署，而複雜的支付方環境則凸顯了證明臨床和經濟價值的證據的重要性。該地區的監管路徑側重於安全性和有效性，跨境合作通常側重於數據協調，以進行多中心檢驗。

在中東和非洲，複雜的監管環境既限制技術的普及，也促進技術的推廣應用。歐洲不斷發展的監管標準要求透明度和上市後監管，促使供應商更加重視可解釋性和實際性能監控。對影像處理基礎設施和策略夥伴關係的投資為中東和非洲創造了成長機遇，有助於跨越傳統的普及曲線，但最終的成功取決於本地能力建設和人才培養。

亞太地區基礎設施快速擴張，擁有龐大的人口資料集，各國政府積極推動醫療數位化。這些因素為加速部署人工智慧影像處理解決方案創造了有利條件，但當地法規和資料主權方面的考量要求制定謹慎的合規策略。成功進入任何地區的市場都需要臨床檢驗、監管合規以及符合當地醫療服務模式和報銷實際情況的文化適應性商業化計劃。

對領先的醫療技術和人工智慧公司進行競爭對手和合作夥伴層面的分析，並專注於它們的創新策略、合作模式和技術融合。

醫療圖像人工智慧領域的企業層面動態反映了競爭差異化與合作生態系統的融合。新興的先行者正在部署多管齊下的策略，結合內部演算法開發、與影像設備製造商的合作以及臨床網路，以加速檢驗和市場准入。創新策略通常強調平台方法，支援跨模態的模組化分析，使供應商能夠提供整合硬體、軟體和託管服務的捆綁式解決方案。

隨著人們逐漸認知到將演算法專長與臨床領域知識和影像處理硬體能力相結合的價值，戰略夥伴關係正變得越來越普遍。與臨床機構的共同開發契約能夠加快取得註釋資料集的速度，並有助於進行實際效能評估；而以服務為導向的模式（尤其是託管服務）則使供應商能夠提供持續的最佳化、模型維護和效能監控，從而提升長期客戶價值和差異化優勢。

併購和授權仍將是擴大規模的核心槓桿，尤其對於那些尋求快速獲取互補技術和地理市場的公司而言更是如此。同時，注重人工智慧倫理實踐、透明檢驗和健全的上市後監管正成為一項競爭優勢，而不僅僅是監管要求。在這種環境下，擁有可靠臨床證據、可擴展部署模式和強大客戶支援的公司將更有利於獲取價值並實現長期永續發展。

為產業領導者提供切實可行的建議，以加速安全地整合人工智慧、最佳化採購並增強臨床和商業性價值提案。

產業領導者必須採取果斷措施，將技術前景轉化為持續的臨床和商業性價值。首先，各機構應優先進行嚴格的臨床檢驗，使性能指標與真實世界的終點和臨床醫生的工作流程相符，從而確保人工智慧的輸出在臨床診療中具有可操作性和可信度。投資前瞻性研究、多中心試驗和部署後監測有助於贏得支付方、監管機構和臨床醫生的信任。

其次，企業應設計可互通的解決方案，使其與現有顯像模式、醫院資訊系統以及雲端或本地基礎設施無縫整合。互通性可減少部署摩擦，並支援在異質 IT 環境中進行可擴展部署。第三，營運準備至關重要。領導階層必須投入資源用於臨床醫生培訓、變更管理和持續的模式管治，以維持績效並應對長期偏差。

第四，供應鏈和籌資策略必須納入因應關稅和貿易中斷的緊急應變計畫。第五，必須透過上市後監測，將道德和監管合規性融入產品設計，並以透明的方式報告其局限性和性能。最後，領導者應探索平衡前期前期投資、訂閱和管理服務的商業模式，以協調獎勵並維持長期客戶關係。這些措施的共同作用，能夠加速更安全醫療保健的普及，並創造永續的競爭優勢。

嚴謹的調查方法，說明資料來源、分析架構、檢驗方案和相關人員參與情況，確保了結論的實證性。

本研究綜合分析採用多方法，結合了主要相關人員的參與、二級資訊來源的三角驗證以及系統性的分析框架，以確保研究結果的穩健性和有效性。主要資訊來源包括對臨床醫生、影像技師、採購負責人和技術主管的結構化訪談，從而獲得關於臨床效用、營運限制和採購促進因素的第一手觀點。二手分析則利用專家同行評審文獻、監管指導文件和公開的臨床檢驗研究來支持​​研究結論並追蹤臨床影響的證據。

本研究採用的分析架構包括針對特定模式的評估矩陣、風險與合規性評估以及綜合準備度評分，用於從技術、臨床和營運層面比較各種解決方案。資料檢驗方案透過獨立研究對報告的績效指標進行交叉檢驗，並在可能的情況下考慮上市後監測機制。相關人員參與方案確保來自不同地域和醫療機構的觀點得到體現，從而能夠深入了解區域和最終用戶差異。

為了提高透明度，調查方法文檔中詳細記錄了假設、納入標準和局限性，並概述了我們如何將定性見解與定量指標結合。我們也在適當情況下進行了敏感度分析，以檢驗比較判斷的穩健性。這種嚴謹的調查方法為我們結論的可信度奠定了基礎，並為後續的更新和擴展提供了可複製的基礎。

這是一份綜合性報告，它匯集了技術、監管、商業和臨床等多個學科，並重點闡述了對整個生態系統相關人員的實際意義。

總之，人工智慧正在從技術、營運和商業性層面重塑醫療圖像。演算法能力的提升及其與影像處理平台的整合，催生了新的診斷工作流程並提高了效率；與此同時，監管的日趨成熟和支付方的嚴格審查，正促使供應商將工作重心轉向透明的檢驗和可衡量的臨床價值。組件、模式、應用和最終用戶細分之間的相互作用表明，單一方法無法適用於所有市場。相反，針對學術研究中心、診斷機構和醫院的具體需求量身定做的策略，才是實現持續應用的最佳途徑。

從區域層面來看，市場促進因素和監管預期各不相同，這帶來了獨特的機會和挑戰。 2025年的關稅趨勢將增加供應鏈的複雜性，但同時也將促進更靈活的採購和本地化的夥伴關係。在企業層面，那些能夠將嚴謹的臨床證據、互通性、可擴展的服務模式和強大的上市後管治結合的組織將取得最大的成功。

最終，供應商、臨床醫生、支付方和監管機構需要採取協同行動，以確保人工智慧賦能的影像技術能夠實際提高診斷準確性、工作流程效率和病患療效。透過將技術創新與臨床需求和強力的管治相結合，相關人員可以充分發揮人工智慧的潛力，同時管控風險，並在不同的醫療保健系統中促進其永續應用。

目錄

第1章：序言

第2章調查方法

第3章執行摘要

第4章 市場概覽

第5章 市場洞察

  • 人工智慧醫療圖像應用中的倫理考量與偏見緩解策略
  • 即時人工智慧輔助成像技術在外科手術的應用
  • 利用機器學習模型根據影像資料預測患者預後
  • 開發一種結合影像數據和基因組資訊的混合人工智慧系統
  • 將深度學習模型整合到醫療保健領域，用於即時影像分析
  • 開發一種可解釋的人工智慧系統，用於透明的醫學影像解讀
  • 拓展人工智慧在多模態成像技術與分析的應用
  • 雲端基礎人工智慧平台在可擴展醫療影像解決方案的應用日益廣泛
  • 人工智慧開發者和醫療服務提供者攜手合作，最佳化診斷影像結果
  • 影響人工智慧在醫學影像領域應用的監管挑戰和框架

第6章：美國關稅的累積影響，2025年

第7章：人工智慧的累積影響，2025年

8. 醫療診斷成像領域人工智慧市場（按組件分類）

  • 硬體
  • 服務
    • 託管服務
    • 專業服務
  • 軟體

9. 人工智慧在醫療診斷影像技術中的市場

  • CT掃描儀
  • 磁振造影系統
  • 超音波設備
  • X光系統

第10章 人工智慧在醫療診斷影像領域的應用市場

  • 心臟病學
  • 神經病學
  • 腫瘤學
  • 病理
  • 放射科

第11章 按最終用戶分類的醫療診斷成像人工智慧市場

  • 學術研究機構
  • 診斷中心
  • 醫院和診所

第12章 區域醫療診斷影像人工智慧市場

  • 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13章 醫療診斷影像領域人工智慧市場（按群體分類）

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

第14章 各國醫療診斷影像人工智慧市場

  • 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15章 競爭格局

  • 2024年市佔率分析
  • FPNV定位矩陣，2024
  • 競爭分析
    • 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
Product Code: MRR-221461476A09

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