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2026年全球人工智慧医疗影像市场报告

AI In Medical Imaging Global Market Report 2026
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，人工智慧（AI）在医学影像领域的市场规模迅速扩张。预计该市场规模将从2025年的37.9亿美元成长到2026年的52.9亿美元，复合年增长率（CAGR）高达39.5%。成长要素包括医学影像检查的增加、对更高诊断准确性的需求、放射科的扩张、影像系统的数位化以及医疗费用支出的增长。

预计未来几年，人工智慧在医学影像领域的市场将快速成长。到2030年，该市场规模预计将达到202.8亿美元，复合年增长率（CAGR）为39.9%。预测期内的成长要素包括：人工智慧放射诊断工具的日益普及、放射科医生短缺、对快速诊断的需求、云成像平台的采用，以及肿瘤学和心臟病学诊断成像的增长。预测期内的关键趋势包括：人工智慧辅助影像解读、基于深度学习的影像分析、放射学工作流程自动化、即时诊断成像支援以及先进的影像重建技术。

未来几年，慢性病盛行率的上升预计将推动人工智慧在医学影像领域的市场扩张。慢性病是指通常持续三个月或更长时间的长期健康状况。透过利用先进的影像分析演算法，将人工智慧应用于慢性病的医学影像领域，将有助于提高诊断准确率、实现早期疗育和个人化治疗策略。这将有助于早期发现、精准表征和有效管理慢性病，进而改善患者的治疗效果。例如，根据总部位于瑞士的政府间组织－世界卫生组织（世卫组织）于2023年9月发布的数据，慢性病每年在全球造成4,100万人死亡，占所有死亡人数的74%。其中，心血管疾病死亡人数为1790万，癌症死亡人数为930万，慢性呼吸道疾病死亡人数为410万，糖尿病死亡人数为200万。因此，慢性病负担的加重正在推动人工智慧在医学影像领域的市场成长。

在医学影像人工智慧市场中，主要企业正致力于开发云端原生放射学作业系统等先进解决方案，以提高诊断准确性和工作流程效率。云端原生放射学作业系统将影像资料、临床流程和人工智慧工具整合到一个统一的平台中，实现更快、更准确的诊断。例如，2025年2月，美国公司DeepHealth发布了一个基于其DeepHealth OS系统的全新人工智慧放射资讯学和大规模筛选解决方案。该方案重点介绍了一套诊断套件，它透过一个统一的、人工智慧驱动的工作空间，整合了患者资讯、报告和视觉化工具，实现了传统影像系统的现代化，供放射科医生使用。该套件还包括SmartMammo，这是一款全面的乳房X光诊断SaaS解决方案，可提高癌症检出率并增强工作流程整合。此外，该套件还支援基于人工智慧的肺癌、前列腺癌和脑部健康筛检，加速诊断解读速度，增强临床信心。这些进展凸显了DeepHealth如何为提高放射学领域的营运效率和推动精准医疗做出贡献。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球人工智慧在医学影像领域的市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 生物技术、基因组学和精准医疗
    • 数位化、云端运算、巨量资料、网路安全
    • 物联网、智慧基础设施、互联生态系统
    • 工业4.0和智慧製造
  • 主要趋势
    • 人工智慧辅助影像诊断
    • 基于深度学习的影像分析
    • 放射科工作流程自动化
    • 即时影像诊断支持
    • 先进的影像重建技术

第五章 终端用户产业市场分析

  • 医院
  • 诊断影像中心
  • 放射科诊所
  • 专业医疗中心
  • 学术医疗机构

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球人工智慧在医疗影像领域的市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧市场规模、对比及成长率分析（应用于医学影像领域）
  • 全球人工智慧市场在医疗影像领域的表现：规模与成长，2020-2025年
  • 全球人工智慧医疗影像市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 透过技术
  • 深度学习、自然语言处理（NLP）
  • 透过解决方案
  • 软体工具和服务
  • 按模式
  • 电脑断层扫描（CT）、磁振造影（MRI）、X光、超音波、核子医学影像
  • 透过使用
  • 数位病理学、肿瘤学、心血管病学、神经病学、肺病学（呼吸系统）、乳房科（乳房X光检查）、肝病学（消化系统）、口腔诊断等应用领域。
  • 按最终用途
  • 医院、诊断影像中心和其他最终用户
  • 按类型细分：深度学习
  • 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
  • 按类型进行子分割：自然语言处理 (NLP)
  • 语音辨识、文字分析、资讯撷取、临床决策支援系统

第十章各国市场/产业指标

第十一章 区域与国别分析

  • 全球人工智慧在医疗影像领域的市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球人工智慧在医学影像领域的市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 人工智慧在医学影像领域的市场：竞争格局和市场份额（2024 年）
  • 人工智慧在医学影像领域的市场：公司估值矩阵
  • 人工智慧在医学影像领域的市场：公司概况
    • Siemens Healthineers AG
    • GE HealthCare Technologies Inc.
    • Koninklijke Philips NV
    • Lunit Inc.
    • DeepMind

第38章 其他大型企业和创新企业

  • Viz.AI Inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CellmatiQ GmbH, Mediwhale

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧在医学影像领域的市场展望：提供新机会的国家
  • 2030年医疗影像人工智慧市场：新兴领域机会
  • 2030年人工智慧在医学影像领域的市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT3MAMIE01_G26Q1

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.

Tariffs have impacted the AI in medical imaging market by increasing prices of imported imaging scanners, processors, and hardware accelerators. These effects are prominent in ct, mri, and x-ray modalities across hospitals and imaging centers. Asia pacific and europe are more affected due to dependence on cross-border equipment supply. Rising costs have pushed providers toward software-centric AI imaging solutions. This transition has improved accessibility and long-term cost efficiency.

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 a 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 $3.79 billion in 2025 to $5.29 billion in 2026 at a compound annual growth rate (CAGR) of 39.5%. The growth in the historic period can be attributed to rising medical imaging procedures, need for diagnostic accuracy, growth of radiology departments, digitization of imaging systems, increased healthcare spending.

The AI in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $20.28 billion in 2030 at a compound annual growth rate (CAGR) of 39.9%. The growth in the forecast period can be attributed to expansion of ai-enabled radiology tools, shortage of radiologists, demand for faster diagnosis, adoption of cloud imaging platforms, growth of oncology and cardiology imaging. Major trends in the forecast period include ai-assisted image interpretation, deep learning-based imaging analysis, workflow automation in radiology, real-time imaging decision support, advanced image reconstruction techniques.

The rising prevalence of chronic diseases is anticipated to drive the expansion of the AI in medical imaging market in the coming years. Chronic diseases are long-term health conditions that typically last for three months or longer. The application of AI in medical imaging for chronic conditions supports improved diagnostics, early intervention, and personalized treatment strategies by utilizing advanced image analysis algorithms, enabling early identification, precise characterization, and effective management of chronic illnesses to enhance patient outcomes. For instance, in September 2023, according to the World Health Organization (WHO), a Switzerland-based intergovernmental organization, chronic diseases were responsible for 41 million deaths globally each year, representing 74% of total deaths. This total included 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. Hence, the increasing burden of chronic diseases is fueling the growth of the AI in medical imaging market.

Major companies operating in the AI in medical imaging market are concentrating on developing advanced solutions such as cloud-native radiology operating systems to improve diagnostic precision and workflow efficiency. A cloud-native radiology operating system combines imaging data, clinical processes, and AI tools into a single integrated platform that enables faster and more accurate diagnoses. For instance, in February 2025, DeepHealth, a US-based company, introduced new AI-enabled radiology informatics and population screening solutions powered by its DeepHealth OS system. This launch featured the Diagnostic Suite, which modernizes conventional imaging systems through a unified AI-driven workspace that integrates patient information, reporting, and visualization tools for radiologists. It also included SmartMammo, a comprehensive diagnostic SaaS solution for mammography that boosts cancer detection rates and enhances workflow integration. The suite further supports AI-based screening for lung, prostate, and brain health, enabling quicker diagnostic interpretation and stronger clinical confidence. These developments highlight how DeepHealth is improving operational efficiency and advancing precision care across radiology practices.

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 are Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; Mediwhale

North America was the largest region in the AI in medical imaging market in 2025. 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, South East Asia, 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, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Technology: Deep Learning; Natural Language Processing (NLP)
  • 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
  • Companies Mentioned: Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; Mediwhale
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. AI In Medical Imaging Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global AI In Medical Imaging Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. AI In Medical Imaging Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global AI In Medical Imaging Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Biotechnology, Genomics & Precision Medicine
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Ai-Assisted Image Interpretation
    • 4.2.2 Deep Learning-Based Imaging Analysis
    • 4.2.3 Workflow Automation In Radiology
    • 4.2.4 Real-Time Imaging Decision Support
    • 4.2.5 Advanced Image Reconstruction Techniques

5. AI In Medical Imaging Market Analysis Of End Use Industries

  • 5.1 Hospitals
  • 5.2 Diagnostic Imaging Centers
  • 5.3 Radiology Clinics
  • 5.4 Specialty Care Centers
  • 5.5 Academic Medical Institutions

6. AI In Medical Imaging Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global AI In Medical Imaging Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global AI In Medical Imaging PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global AI In Medical Imaging Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global AI In Medical Imaging Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global AI In Medical Imaging Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global AI In Medical Imaging Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. AI In Medical Imaging Market Segmentation

  • 9.1. Global AI In Medical Imaging Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Deep Learning, Natural Language Processing (NLP)
  • 9.2. Global AI In Medical Imaging Market, Segmentation By Solution, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software Tools, Services
  • 9.3. Global AI In Medical Imaging Market, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
  • 9.4. Global AI In Medical Imaging Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
  • 9.5. Global AI In Medical Imaging Market, Segmentation By End-Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hospitals, Diagnostic Imaging Centers, Other End-Users
  • 9.6. Global AI In Medical Imaging Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning
  • 9.7. Global AI In Medical Imaging Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support Systems

10. AI In Medical Imaging Market, Industry Metrics By Country

  • 10.1. Global AI In Medical Imaging Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global AI In Medical Imaging Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. AI In Medical Imaging Market Regional And Country Analysis

  • 11.1. Global AI In Medical Imaging Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global AI In Medical Imaging Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific AI In Medical Imaging Market

  • 12.1. 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
  • 12.2. Asia-Pacific AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China AI In Medical Imaging Market

  • 13.1. China AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India AI In Medical Imaging Market

  • 14.1. India AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan AI In Medical Imaging Market

  • 15.1. Japan AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia AI In Medical Imaging Market

  • 16.1. Australia AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia AI In Medical Imaging Market

  • 17.1. Indonesia AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea AI In Medical Imaging Market

  • 18.1. South Korea AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan AI In Medical Imaging Market

  • 19.1. Taiwan AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia AI In Medical Imaging Market

  • 20.1. South East Asia 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
  • 20.2. South East Asia AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe AI In Medical Imaging Market

  • 21.1. Western Europe 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
  • 21.2. Western Europe AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK AI In Medical Imaging Market

  • 22.1. UK AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany AI In Medical Imaging Market

  • 23.1. Germany AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France AI In Medical Imaging Market

  • 24.1. France AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy AI In Medical Imaging Market

  • 25.1. Italy AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain AI In Medical Imaging Market

  • 26.1. Spain AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe AI In Medical Imaging Market

  • 27.1. Eastern Europe 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
  • 27.2. Eastern Europe AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia AI In Medical Imaging Market

  • 28.1. Russia AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America AI In Medical Imaging Market

  • 29.1. North America 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
  • 29.2. North America AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA AI In Medical Imaging Market

  • 30.1. USA AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada AI In Medical Imaging Market

  • 31.1. Canada AI In Medical Imaging Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America AI In Medical Imaging Market

  • 32.1. South America 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
  • 32.2. South America AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil AI In Medical Imaging Market

  • 33.1. Brazil AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East AI In Medical Imaging Market

  • 34.1. Middle East 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
  • 34.2. Middle East AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa AI In Medical Imaging Market

  • 35.1. Africa 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
  • 35.2. Africa AI In Medical Imaging Market, Segmentation By Technology, Segmentation By Solution, Segmentation By Modality, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. AI In Medical Imaging Market Regulatory and Investment Landscape

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

  • 37.1. AI In Medical Imaging Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. AI In Medical Imaging Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. AI In Medical Imaging Market Company Profiles
    • 37.3.1. Siemens Healthineers AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. GE HealthCare Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Koninklijke Philips NV Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Lunit Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. DeepMind Overview, Products and Services, Strategy and Financial Analysis

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

  • Viz.AI Inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CellmatiQ GmbH, Mediwhale

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

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

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

  • 41.1. AI In Medical Imaging Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. AI In Medical Imaging Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. AI In Medical Imaging Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer