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市场调查报告书
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1843637

2025年医疗图像人工智慧全球市场报告

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个工作天内

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简介目录

近年来，医疗图像领域人工智慧的市场规模呈指数级增长，从2024年的28亿美元成长到2025年的37.9亿美元，复合年增长率高达35.4%。这段历史时期的成长动力源于医学影像资料量的不断增长、对更高诊断准确性的需求不断增长、慢性病负担的日益加重、更有效率的工作流程以及不断增长的医疗支出。

预计未来几年，医疗图像市场中的人工智慧将呈指数级增长，到 2029 年将达到 144.5 亿美元，复合年增长率为 39.7%。预测期内的成长归因于与电子健康记录(EHR) 的整合、影像引导介入应用的扩展、人工智慧驱动的个人化医疗的兴起、对预防医学的日益关注以及远端医疗的全球扩张。预测期内的主要趋势包括人工智慧增强的显像模式、互通性和资料共用、法规结构的发展、产业合作的加强以及对可解释人工智慧的日益重视。

医疗图像中的人工智慧是指利用电脑演算法进行影像分析的颠覆性技术。这项人工智慧应用旨在帮助医疗专业人员诊断各种疾病。它在提高影像解读的准确性、效率和速度方面发挥关键作用，为放射科医生和医疗专业人员做出准确诊断提供宝贵的帮助。

医疗图像中人工智慧采用的主要技术包括深度学习、自然语言处理 (NLP) 和其他相关技术。深度学习是人工智慧和机器学习的一个分支，专注于训练深度神经网路基于大数据集进行预测和决策。医疗图像中的人工智慧涵盖各种模式，例如电脑断层扫描 (CT)、磁振造影(MRI)、X 光、超音波和核子医学摄影。人工智慧在医学医疗图像中的应用涵盖各个医学领域，包括数位病理学、肿瘤学、心臟病学、神经病学、肺 (呼吸系统)、乳房 (乳房 X 光摄影)、肝臟 (消化器官系统) 和口腔诊断。医疗图像中人工智慧的主要最终使用者是医院、诊断影像中心和其他医疗机构。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

这份研究报告是商业研究公司新报告系列的一部分，该系列提供了医疗图像人工智慧的市场统计数据，包括全球市场规模、区域份额、医疗图像医疗图像份额的竞争对手、医疗图像人工智慧的详细细分市场、市场趋势和商业机会，为您提供在医疗图像成像人工智慧行业取得成功所需的数据。这份医疗图像市场研究报告对该行业的当前和未来情况进行了详细的分析，为您提供了完整的观点所需的一切。

未来五年的预测成长率为39.7%，较我们先前对该市场的预测略有下降0.3%。这一下降主要源自于美国与其他国家之间关税的影响。这可能会直接影响美国，因为依赖韩国和荷兰高解析度成像晶片的人工智慧辅助放射系统的成本将上升，从而延迟诊断程序。此外，由于互惠关税以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响，这种影响也将更加广泛。

AI 在放射学领域的日益整合有望在未来推动医疗图像领域 AI 市场的发展。放射学是一个专门透过医学影像技术诊断和治疗疾病和损伤的医学领域。在该领域，AI 被广泛用于增强医学影像判读，提高放射学工作流程的效率和准确性，包括自动影像分析、电脑辅助检测以及影像重建和增强。例如，2023 年 10 月，美国非营利组织北美放射学会报告称，放射科医生的 AI 工具在当今医疗保健市场正变得司空见惯，FDA 批准的 500 多种 AI 演算法中，75% 专注于放射学，高于 2021 年的 70%。此外，2022 年 11 月，美国软体开发公司 Itransition 透露，2022 年 30% 的放射科医生在临床实践中使用 AI，20% 的诊所计划在不久的将来购置 AI 工具。因此，放射学领域对AI的日益普及将推动医疗图像领域AI市场的发展。

慢性病的流行是推动医疗图像人工智慧市场成长的关键催化剂。慢性病是指持续时间超过三个月的慢性疾病，人工智慧正越来越多地应用于医学影像诊断，以改善诊断、及时介入和製定个人化治疗方案。人工智慧促进的先进影像分析演算法的整合有助于早期发现、准确表征和有效管理慢性病，最终改善患者预后。例如，世界卫生组织 (WHO) 于 2023 年 9 月发布的统计数据强调了慢性病的全球影响，预测慢性病每年将导致 4,100 万人死亡，占所有死亡人数的 74%。这些死亡包括 1,790 万人死于心血管疾病，930 万人死于癌症，410 万人死于慢性呼吸道疾病，200 万人死于糖尿病。因此，慢性病日益流行的趋势是医疗图像人工智慧市场扩张的关键驱动力。

技术进步是推动医疗图像市场人工智慧发展的关键趋势。该领域的主要企业正积极开拓创新技术，以巩固其地位。一个显着的例子是美国医学影像处理公司 Viz.AI Inc. 于 2022 年 11 月发布的人工智慧放射诊断套件。这项尖端技术透过与医疗机构的影像存檔和通讯系统 (PACS) 无缝集成，并支援跨部门安全存取影像数据，从而简化了患者诊断流程。它还拥有一些独特的功能，例如人工智慧警报，可立即通知放射科医生疑似疾病；优先工作列表，可帮助放射科医生专注于紧急病例；以及即时通讯工具，可促进护理团队成员之间的协作。这些进步将改善患者治疗效果、节省成本并提高营运效率。

医疗图像市场人工智慧的主要企业正在建立策略伙伴关係关係，以此作为加速开发人工智慧医学影像解决方案的手段，从而提高影像品质并提供即时临床决策支援。策略伙伴关係体现了一种协作过程，在这个过程中，公司利用彼此的优势和资源，实现互利共赢。例如，2023 年 11 月，印度工程服务公司 L&T Technology Services (LTTS) 与美国科技巨头 Nvidia 伙伴关係合作。两家公司的共同目标是为内视镜医疗设备设计一个软体定义的架构，专注于使用 Gen AI (Gen AI) 增强医学影像诊断。此次合作旨在利用先进人工智慧的潜力，显着提高医学影像处理能力。

2023年1月，德国製药和生技公司拜耳集团成功收购了Blackford Analysis Ltd.，收购金额未揭露。此次策略性收购符合拜耳集团的目标，即推动以人工智慧为基础的全新医学影像诊断解决方案的开发，加速人工智慧的普及，并在医疗保健产业中获得竞争优势。 Blackford Analysis Ltd.总部位于英国，是一家专注于提供医疗图像人工智慧技术解决方案的软体公司。

医学影像中的人工智慧市场由电脑辅助诊断 (CAD)、影像分割和註释、影像重建和增强以及定量影像分析服务提供者所获得的收益组成。市场价值还包括服务供应商销售的或包含在其服务产品中的相关产品的价值。医学影像中的人工智慧还包括用于提供医疗图像影像人工智慧服务的 PET 扫描机、血管造影术机、超音波心动图机、临床决策支援系统和显像模式的销售。该市场的价值是“出厂价”，即商品製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球医疗图像人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球医疗图像人工智慧市场：成长率分析
  • 全球医疗图像市场表现：规模与成长，2019-2024
  • 全球医疗图像市场预测：规模与成长，2024-2029 年，2034 年
  • 全球医疗图像人工智慧：总潜在市场（TAM）

第六章 市场细分

  • 全球医疗图像人工智慧市场：按技术、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 深度学习
  • 自然语言处理（NLP）
  • 其他技术
  • 全球医疗图像人工智慧市场：按解决方案、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体工具
  • 服务
  • 全球医疗图像人工智慧市场：按模式、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 电脑断层扫描（CT）
  • 磁振造影（MRI）
  • X射线
  • 超音波
  • 核子造影
  • 全球医疗图像人工智慧市场：按应用、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 数位病理学
  • 肿瘤学
  • 心血管系统
  • 神经病学
  • 肺（呼吸系统）
  • 乳腺（乳房X光检查）
  • 肝臟（胃肠道）
  • 口腔诊断
  • 其他用途
  • 全球医疗图像人工智慧市场（按最终用途、性能和预测），2019-2024 年、2024-2029 年、2034 年
  • 医院
  • 诊断影像中心
  • 其他最终用户
  • 全球医疗图像人工智慧市场：细分领域、深度学习类型、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 卷积类神经网路（CNN）
  • 循环神经网路（RNN）
  • 生成对抗网路（GAN）
  • 迁移学习
  • 全球医疗图像人工智慧市场：按自然语言处理 (NLP) 细分、类型、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 语音辨识
  • 文字分析
  • 资讯撷取
  • 临床决策支援系统
  • 全球医疗图像人工智慧市场：依技术细分（其他）、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 机器学习
  • 电脑视觉
  • 影像处理演算法
  • 预测分析工具

第七章 区域和国家分析

  • 全球医疗图像人工智慧市场：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球医疗图像人工智慧市场：按国家、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 医疗图像领域的人工智慧：竞争格局
  • 医疗图像市场中的人工智慧：公司简介
    • 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：其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年医疗图像市场中的人工智慧：提供新机会的国家
  • 2029年医疗图像市场中的人工智慧：细分领域带来新机会
  • 2029年医疗图像市场中的人工智慧：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
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