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1843637

2025年醫療圖像人工智慧全球市場報告

AI In Medical Imaging Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，醫療圖像領域人工智慧的市場規模呈指數級成長，從2024年的28億美元成長到2025年的37.9億美元，複合年成長率高達35.4%。這段歷史時期的成長動力源於醫學影像資料量的不斷成長、對更高診斷準確性的需求不斷成長、慢性病負擔的日益加重、更有效率的工作流程以及不斷成長的醫療支出。

預計未來幾年，醫療圖像市場中的人工智慧將呈指數級成長，到 2029 年將達到 144.5 億美元，複合年成長率為 39.7%。預測期內的成長歸因於與電子健康記錄(EHR) 的整合、影像引導介入應用的擴展、人工智慧驅動的個人化醫療的興起、對預防醫學的日益關注以及遠端醫療的全球擴張。預測期內的主要趨勢包括人工智慧增強的顯像模式、互通性和資料共用、法規結構的發展、產業合作的加強以及對可解釋人工智慧的日益重視。

醫療圖像中的人工智慧是指利用電腦演算法進行影像分析的顛覆性技術。這項人工智慧應用旨在幫助醫療專業人員診斷各種疾病。它在提高影像解讀的準確性、效率和速度方面發揮關鍵作用，為放射科醫生和醫療專業人員做出準確診斷提供寶貴的幫助。

醫療圖像中人工智慧採用的主要技術包括深度學習、自然語言處理 (NLP) 和其他相關技術。深度學習是人工智慧和機器學習的一個分支，專注於訓練深度神經網路基於巨量資料集進行預測和決策。醫療圖像中的人工智慧涵蓋各種模式，例如電腦斷層掃描 (CT)、磁振造影(MRI)、X 光、超音波和核子醫學攝影。人工智慧在醫學醫療圖像中的應用涵蓋各個醫學領域，包括數位病理學、腫瘤學、心臟病學、神經病學、肺 (呼吸系統)、乳房 (乳房 X 光攝影)、肝臟 (消化器官系統) 和口腔診斷。醫療圖像中人工智慧的主要最終使用者是醫院、診斷影像中心和其他醫療機構。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

這份研究報告是商業研究公司新報告系列的一部分，該系列提供了醫療圖像人工智慧的市場統計數據，包括全球市場規模、區域佔有率、醫療圖像醫療圖像佔有率的競爭對手、醫療圖像人工智慧的詳細細分市場、市場趨勢和商業機會，為您提供在醫療圖像成像人工智慧行業取得成功所需的數據。這份醫療圖像市場研究報告對該行業的當前和未來情況進行了詳細的分析，為您提供了完整的觀點所需的一切。

未來五年的預測成長率為39.7%，較我們先前對該市場的預測略有下降0.3%。這一下降主要源自於美國與其他國家之間關稅的影響。這可能會直接影響美國，因為依賴韓國和荷蘭高解析度成像晶片的人工智慧輔助放射系統的成本將上升，從而延遲診斷程序。此外，由於互惠關稅以及貿易緊張局勢和限制措施加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

AI 在放射學領域的日益整合有望在未來推動醫療圖像領域 AI 市場的發展。放射學是一個專門透過醫學影像技術診斷和治療疾病和損傷的醫學領域。在該領域，AI 被廣泛用於增強醫學影像判讀，提高放射學工作流程的效率和準確性，包括自動影像分析、電腦輔助檢測以及影像重建和增強。例如，2023 年 10 月，美國非營利組織北美放射學會報告稱，放射科醫生的 AI 工具在當今醫療保健市場正變得司空見慣，FDA 批准的 500 多種 AI 演算法中，75% 專注於放射學，高於 2021 年的 70%。此外，2022 年 11 月，美國軟體開發公司 Itransition 透露，2022 年 30% 的放射科醫生在臨床實踐中使用 AI，20% 的診所計劃在不久的將來購置 AI 工具。因此，放射學領域對AI的日益普及將推動醫療圖像領域AI市場的發展。

慢性病的流行是推動醫療圖像人工智慧市場成長的關鍵催化劑。慢性病是指持續時間超過三個月的慢性疾病，人工智慧正擴大應用於醫學影像診斷，以改善診斷、及時介入和製定個人化治療方案。人工智慧促進的先進影像分析演算法的整合有助於早期發現、準確表徵和有效管理慢性病，最終改善患者預後。例如，世界衛生組織 (WHO) 於 2023 年 9 月發布的統計數據強調了慢性病的全球影響，預測慢性病每年將導致 4,100 萬人死亡，佔所有死亡人數的 74%。這些死亡包括 1,790 萬人死於心血管疾病，930 萬人死於癌症，410 萬人死於慢性呼吸道疾病，200 萬人死於糖尿病。因此，慢性病日益流行的趨勢是醫療圖像人工智慧市場擴張的關鍵驅動力。

技術進步是推動醫療圖像市場人工智慧發展的關鍵趨勢。該領域的主要企業正積極開拓創新技術，以鞏固其地位。一個顯著的例子是美國醫學影像處理公司 Viz.AI Inc. 於 2022 年 11 月發布的人工智慧放射診斷套件。這項尖端技術透過與醫療機構的影像存檔和通訊系統 (PACS) 無縫整合，並支援跨部門安全存取影像數據，從而簡化了患者診斷流程。它還擁有一些獨特的功能，例如人工智慧警報，可立即通知放射科醫生疑似疾病；優先工作列表，可幫助放射科醫生專注於緊急病例；以及即時通訊工具，可促進護理團隊成員之間的協作。這些進步將改善患者治療效果、節省成本並提高營運效率。

醫療圖像市場人工智慧的主要企業正在建立策略夥伴關係關係，以此作為加速開發人工智慧醫學影像解決方案的手段，從而提高影像品質並提供即時臨床決策支援。策略夥伴關係體現了一種協作過程，在這個過程中，公司利用彼此的優勢和資源，實現互利共贏。例如，2023 年 11 月，印度工程服務公司 L&T Technology Services (LTTS) 與美國科技巨頭 Nvidia 夥伴關係合作。兩家公司的共同目標是為內視鏡醫療設備設計一個軟體定義的架構，專注於使用 Gen AI (Gen AI) 增強醫學影像診斷。此次合作旨在利用先進人工智慧的潛力，顯著提高醫學影像處理能力。

2023年1月，德國製藥和生技公司拜耳集團成功收購了Blackford Analysis Ltd.，收購金額未揭露。此次策略性收購符合拜耳集團的目標，即推動以人工智慧為基礎的全新醫學影像診斷解決方案的開發，加速人工智慧的普及，並在醫療保健產業中獲得競爭優勢。 Blackford Analysis Ltd.總部位於英國，是一家專注於提供醫療圖像人工智慧技術解決方案的軟體公司。

醫學影像中的人工智慧市場由電腦輔助診斷 (CAD)、影像分割和註釋、影像重建和增強以及定量影像分析服務提供者所獲得的收益組成。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關產品的價值。醫學影像中的人工智慧還包括用於提供醫療圖像影像人工智慧服務的 PET 掃描機、血管造影術機、超音波心動圖機、臨床決策支援系統和顯像模式的銷售。該市場的價值是“出廠價”，即商品製造商或生產商向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品製造商銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球醫療圖像人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球醫療圖像人工智慧市場：成長率分析
  • 全球醫療圖像市場表現：規模與成長，2019-2024
  • 全球醫療圖像市場預測：規模與成長，2024-2029 年，2034 年
  • 全球醫療圖像人工智慧：總潛在市場（TAM）

第6章 市場細分

  • 全球醫療圖像人工智慧市場：按技術、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 深度學習
  • 自然語言處理（NLP）
  • 其他技術
  • 全球醫療圖像人工智慧市場：按解決方案、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體工具
  • 服務
  • 全球醫療圖像人工智慧市場：按模式、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 電腦斷層掃描（CT）
  • 磁振造影（MRI）
  • X光
  • 超音波
  • 核子造影
  • 全球醫療圖像人工智慧市場：按應用、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 數位病理學
  • 腫瘤學
  • 心血管系統
  • 神經病學
  • 肺（呼吸系統）
  • 乳腺（乳房X光檢查）
  • 肝臟（胃腸道）
  • 口腔診斷
  • 其他用途
  • 全球醫療圖像人工智慧市場（按最終用途、性能和預測），2019-2024 年、2024-2029 年、2034 年
  • 醫院
  • 診斷影像中心
  • 其他最終用戶
  • 全球醫療圖像人工智慧市場：細分領域、深度學習類型、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 卷積類神經網路（CNN）
  • 循環神經網路（RNN）
  • 生成對抗網路（GAN）
  • 遷移學習
  • 全球醫療圖像人工智慧市場：按自然語言處理 (NLP) 細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 語音辨識
  • 文字分析
  • 資訊擷取
  • 臨床決策支援系統
  • 全球醫療圖像人工智慧市場：依技術細分（其他）、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 機器學習
  • 電腦視覺
  • 影像處理演算法
  • 預測分析工具

第7章 區域和國家分析

  • 全球醫療圖像人工智慧市場：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球醫療圖像人工智慧市場：按國家、表現和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 醫療圖像領域的人工智慧：競爭格局
  • 醫療圖像市場中的人工智慧：公司簡介
    • Alphabet Inc Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Sanofi Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Merative
  • Medtronic plc
  • Nvidia Corporation
  • Siemens Healthineers AG
  • Koninklijke Philips NV
  • Stryker
  • GE HealthCare Technologies Inc.
  • Lunit Inc.
  • DeepMind
  • Viz.ai Inc.
  • Aidoc
  • AZmed
  • Digital Diagnostics Inc.
  • Butterfly Network Inc.
  • Cleerly

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年醫療圖像市場中的人工智慧：提供新機會的國家
  • 2029年醫療圖像市場中的人工智慧：細分領域帶來新機會
  • 2029年醫療圖像市場中的人工智慧：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
Product Code: r24639u

AI in medical imaging refers to the utilization of disruptive technology that employs computer algorithms for image analysis. This application of artificial intelligence is designed to support healthcare professionals in the diagnosis of a diverse range of medical conditions. It plays a crucial role in enhancing the accuracy, efficiency, and speed of image interpretation, providing valuable assistance to radiologists and healthcare practitioners in making accurate diagnoses.

The primary types of technologies employed in AI in medical imaging include deep learning, natural language processing (NLP), and other related technologies. Deep learning, a subfield of artificial intelligence and machine learning, focuses on training deep neural networks to learn and make predictions or decisions based on extensive datasets. AI in medical imaging encompasses a range of modalities, including computed tomography (CT) scans, magnetic resonance imaging (MRI), X-rays, ultrasound, and nuclear imaging. The applications of AI in medical imaging span various medical fields such as digital pathology, oncology, cardiovascular, neurology, lung (respiratory system), breast (mammography), liver (GI), oral diagnostics, and more. The primary end-users of AI in medical imaging are hospitals, diagnostic imaging centers, and other healthcare facilities.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in medical imaging market research report is one of a series of new reports from The Business Research Company that provides AI in medical imaging market statistics, including AI in medical imaging industry global market size, regional shares, competitors with AI in medical imaging market share, detailed AI in medical imaging market segments, market trends and opportunities, and any further data you may need to thrive in the AI in medical imaging industry. This AI in medical imaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in medical imaging market size has grown exponentially in recent years. It will grow from $2.8 billion in 2024 to $3.79 billion in 2025 at a compound annual growth rate (CAGR) of 35.4%. The growth in the historic period can be attributed to increased volume of medical imaging data, increased demand for improved diagnostic accuracy, growing burden of chronic diseases, enhanced workflow efficiency, increased healthcare expenditure.

The ai in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $14.45 billion in 2029 at a compound annual growth rate (CAGR) of 39.7%. The growth in the forecast period can be attributed to integration with electronic health records (EHR), growing application in image-guided interventions, emergence of ai-powered personalized medicine, increased focus on preventive healthcare, global expansion of telemedicine. Major trends in the forecast period include enhanced imaging modalities with ai, interoperability and data sharing, regulatory framework development, increased industry collaboration, growing emphasis on explainable AI.

The forecast of 39.7% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by increasing costs for AI-assisted radiology systems, which rely on high-resolution imaging chips from South Korea and the Netherlands, delaying diagnostic procedures. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing integration of AI in radiology is anticipated to boost the AI in medical imaging market in the future. Radiology is the medical specialty dedicated to diagnosing and treating diseases and injuries through medical imaging techniques. In this field, AI is extensively utilized to enhance the interpretation of medical images and improve the efficiency and accuracy of radiological workflows, including automated image analysis, computer-aided detection, and image reconstruction and enhancement. For example, in October 2023, the Radiological Society of North America, a US-based non-profit organization, reported that AI tools for radiologists are becoming commonplace in today's healthcare market, with 75% of over 500 FDA-cleared AI algorithms focused on radiology, an increase from 70% in 2021. Additionally, in November 2022, Itransition, a US-based software development firm, found that 30 percent of radiologists were using AI in their clinical practices in 2022, while 20 percent of practices planned to acquire AI tools in the near future. Therefore, the growing adoption of AI in radiology is set to drive the AI in medical imaging market.

The escalating prevalence of chronic diseases stands as a significant catalyst driving the growth trajectory of the AI in medical imaging market. Chronic diseases, persistent medical conditions lasting three months or longer, are increasingly utilizing AI within medical imaging for improved diagnostics, timely interventions, and tailored treatment plans. The integration of advanced image analysis algorithms facilitated by AI aids in early detection, precise characterization, and efficient management of chronic conditions, ultimately aiming for enhanced patient outcomes. For instance, statistics from the World Health Organization (WHO) in September 2023 underscore the global impact of chronic diseases, contributing to 41 million annual deaths, constituting 74% of all fatalities. This includes 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2.0 million from diabetes. Consequently, the rising incidence of chronic diseases serves as a significant impetus driving the expansion of the AI in medical imaging market.

Advancements in technology stand as pivotal trends making strides within the AI in medical imaging market. Prominent entities in this market segment are actively pioneering innovative technologies to fortify their standing. A notable example is the launch, in November 2022, by Viz.AI Inc., a US-based medical imaging firm, of its AI-powered radiology suite. This cutting-edge technology seamlessly integrates into healthcare organizations' Picture Archiving and Communication Systems (PACS), enabling secure access to imaging data across departments, thereby streamlining patient diagnoses. It boasts distinctive features, including AI-driven alerts that instantaneously notify radiologists of suspected diseases, prioritized worklists aiding radiologists in focusing on urgent cases, and real-time communication tools facilitating collaboration among care team members. This advancement yields improvements in patient outcomes, cost reduction, and enhanced operational efficiency.

Significant players within the AI in medical imaging market are embracing strategic partnerships as a vehicle to expedite the development of AI-powered medical imaging solutions, aiming to bolster image quality and offer real-time clinical decision-making support. Strategic partnerships embody a collaborative process wherein companies leverage each other's strengths and resources, culminating in mutual benefits and success. For instance, in November 2023, L&T Technology Services (LTTS), an India-based engineering services company, forged a partnership with Nvidia Corporation, a US-based technology giant. Their joint objective is to engineer software-defined architectures tailored for endoscopy-oriented medical devices, with a focus on augmenting medical imaging using Generation AI (Gen AI). This collaboration aims to harness the potential of advanced AI to significantly enhance medical imaging capabilities.

In January 2023, Bayer AG, a German pharmaceutical and biotechnology company, successfully acquired Blackford Analysis Ltd. for an undisclosed amount. This strategic acquisition was driven by Bayer AG's objective to advance the development of new AI-powered solutions for medical imaging, with the aim of accelerating the adoption of AI and gaining a competitive edge in the healthcare industry. Blackford Analysis Ltd., based in the UK, is a software company specializing in providing technological solutions for AI in medical imaging.

Major companies operating in the AI in medical imaging market include Alphabet Inc, Microsoft Corporation, The International Business Machines Corporation, Sanofi, Oracle Corporation, Merative, Medtronic plc, Nvidia Corporation, Siemens Healthineers AG, Koninklijke Philips NV, Stryker, GE HealthCare Technologies Inc., Lunit Inc., DeepMind, Viz.AI inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Butterfly Network, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CloudMedX, CellmatiQ GmbH, Mediwhale, dentalXrai GmbH

North America was the largest region in the AI In medical imaging market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in medical imaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in the medical imaging market consists of revenues earned by entities by providing computer-aided diagnosis (CAD), image segmentation and annotation, image reconstruction and enhancement, and quantitative image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the medical imaging market also includes sales of PET scan machines, angiography devices, echocardiogram devices, clinical decision support systems, and imaging modalities which are used in providing AI in medical imaging services. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Medical Imaging Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in medical imaging market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in medical imaging ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in medical imaging market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Technology: Deep Learning; Natural Language Processing (NLP); Other Technologies
  • 2) By Solution: Software Tools; Services
  • 3) By Modality: Computed Tomography (CT) Scan; Magnetic Resonance Imaging (MRI); X-Rays; Ultrasound; Nuclear Imaging
  • 4) By Application: Digital Pathology; Oncology; Cardiovascular; Neurology; Lung (Respiratory System); Breast (Mammography); Liver (GI); Oral Diagnostics; Other Applications
  • 5) By End-Use: Hospitals; Diagnostic Imaging Centers; Other End-Users
  • Subsegments:
  • 1) By Deep Learning: Convolutional Neural Networks (CNNs); Recurrent Neural Networks (RNNs); Generative Adversarial Networks (GANs); Transfer Learning
  • 2) By Natural Language Processing (NLP): Speech Recognition; Text Analytics; Information Extraction; Clinical Decision Support Systems
  • 3) By Other Technologies: Machine Learning; Computer Vision; Image Processing Algorithms; Predictive Analytics Tools
  • Companies Mentioned: Alphabet Inc; Microsoft Corporation; The International Business Machines Corporation; Sanofi; Oracle Corporation; Merative; Medtronic plc; Nvidia Corporation; Siemens Healthineers AG; Koninklijke Philips NV; Stryker; GE HealthCare Technologies Inc.; Lunit Inc.; DeepMind; Viz.ai Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Butterfly Network; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CloudMedX; CellmatiQ GmbH; Mediwhale; dentalXrai GmbH
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Medical Imaging Market Characteristics

3. AI In Medical Imaging Market Trends And Strategies

4. AI In Medical Imaging Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI In Medical Imaging Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI In Medical Imaging PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI In Medical Imaging Market Growth Rate Analysis
  • 5.4. Global AI In Medical Imaging Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI In Medical Imaging Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI In Medical Imaging Total Addressable Market (TAM)

6. AI In Medical Imaging Market Segmentation

  • 6.1. Global AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning
  • Natural Language Processing (NLP)
  • Other Technologies
  • 6.2. Global AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software Tools
  • Services
  • 6.3. Global AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Computed Tomography (CT) Scan
  • Magnetic Resonance Imaging (MRI)
  • X-Rays
  • Ultrasound
  • Nuclear Imaging
  • 6.4. Global AI In Medical Imaging Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Digital Pathology
  • Oncology
  • Cardiovascular
  • Neurology
  • Lung (Respiratory System)
  • Breast (Mammography)
  • Liver (GI)
  • Oral Diagnostics
  • Other Applications
  • 6.5. Global AI In Medical Imaging Market, Segmentation By End-Use, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hospitals
  • Diagnostic Imaging Centers
  • Other End-Users
  • 6.6. Global AI In Medical Imaging Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Generative Adversarial Networks (GANs)
  • Transfer Learning
  • 6.7. Global AI In Medical Imaging Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Speech Recognition
  • Text Analytics
  • Information Extraction
  • Clinical Decision Support Systems
  • 6.8. Global AI In Medical Imaging Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Computer Vision
  • Image Processing Algorithms
  • Predictive Analytics Tools

7. AI In Medical Imaging Market Regional And Country Analysis

  • 7.1. Global AI In Medical Imaging Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Medical Imaging Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Medical Imaging Market

  • 8.1. Asia-Pacific AI In Medical Imaging Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Medical Imaging Market

  • 9.1. China AI In Medical Imaging Market Overview
  • 9.2. China AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Medical Imaging Market

  • 10.1. India AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Medical Imaging Market

  • 11.1. Japan AI In Medical Imaging Market Overview
  • 11.2. Japan AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Medical Imaging Market

  • 12.1. Australia AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Medical Imaging Market

  • 13.1. Indonesia AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Medical Imaging Market

  • 14.1. South Korea AI In Medical Imaging Market Overview
  • 14.2. South Korea AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Medical Imaging Market

  • 15.1. Western Europe AI In Medical Imaging Market Overview
  • 15.2. Western Europe AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Medical Imaging Market

  • 16.1. UK AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Medical Imaging Market

  • 17.1. Germany AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Medical Imaging Market

  • 18.1. France AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Medical Imaging Market

  • 19.1. Italy AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Medical Imaging Market

  • 20.1. Spain AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Medical Imaging Market

  • 21.1. Eastern Europe AI In Medical Imaging Market Overview
  • 21.2. Eastern Europe AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Medical Imaging Market

  • 22.1. Russia AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Medical Imaging Market

  • 23.1. North America AI In Medical Imaging Market Overview
  • 23.2. North America AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Medical Imaging Market

  • 24.1. USA AI In Medical Imaging Market Overview
  • 24.2. USA AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Medical Imaging Market

  • 25.1. Canada AI In Medical Imaging Market Overview
  • 25.2. Canada AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Medical Imaging Market

  • 26.1. South America AI In Medical Imaging Market Overview
  • 26.2. South America AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Medical Imaging Market

  • 27.1. Brazil AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Medical Imaging Market

  • 28.1. Middle East AI In Medical Imaging Market Overview
  • 28.2. Middle East AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Medical Imaging Market

  • 29.1. Africa AI In Medical Imaging Market Overview
  • 29.2. Africa AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Medical Imaging Market Competitive Landscape And Company Profiles

  • 30.1. AI In Medical Imaging Market Competitive Landscape
  • 30.2. AI In Medical Imaging Market Company Profiles
    • 30.2.1. Alphabet Inc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Sanofi Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis

31. AI In Medical Imaging Market Other Major And Innovative Companies

  • 31.1. Merative
  • 31.2. Medtronic plc
  • 31.3. Nvidia Corporation
  • 31.4. Siemens Healthineers AG
  • 31.5. Koninklijke Philips NV
  • 31.6. Stryker
  • 31.7. GE HealthCare Technologies Inc.
  • 31.8. Lunit Inc.
  • 31.9. DeepMind
  • 31.10. Viz.ai Inc.
  • 31.11. Aidoc
  • 31.12. AZmed
  • 31.13. Digital Diagnostics Inc.
  • 31.14. Butterfly Network Inc.
  • 31.15. Cleerly

32. Global AI In Medical Imaging Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Medical Imaging Market

34. Recent Developments In The AI In Medical Imaging Market

35. AI In Medical Imaging Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Medical Imaging Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Medical Imaging Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Medical Imaging Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer