查看購物車
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1969985

2026年全球人工智慧醫療影像市場報告

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個工作天內

價格
簡介目錄

近年來，人工智慧（AI）在醫學影像領域的市場規模迅速擴張。預計該市場規模將從2025年的37.9億美元成長到2026年的52.9億美元，複合年成長率（CAGR）高達39.5%。成長要素包括醫學影像檢查的增加、對更高診斷準確性的需求、放射科的擴張、影像系統的數位化以及醫療費用支出的成長。

預計未來幾年，人工智慧在醫學影像領域的市場將快速成長。到2030年，該市場規模預計將達到202.8億美元，複合年成長率（CAGR）為39.9%。預測期內的成長要素包括：人工智慧放射診斷工具的日益普及、放射科醫生短缺、對快速診斷的需求、雲成像平台的採用，以及腫瘤學和心臟病學診斷成像的成長。預測期內的關鍵趨勢包括：人工智慧輔助影像解讀、基於深度學習的影像分析、放射學工作流程自動化、即時診斷成像支援以及先進的影像重建技術。

未來幾年，慢性病盛行率的上升預計將推動人工智慧在醫學影像領域的市場擴張。慢性病是指通常持續三個月或更長時間的長期健康狀況。透過利用先進的影像分析演算法，將人工智慧應用於慢性病的醫學影像領域，將有助於提高診斷準確率、實現早期療育和個人化治療策略。這將有助於早期發現、精準表徵和有效管理慢性病，進而改善患者的治療效果。例如，根據總部位於瑞士的政府間組織－世界衛生組織（世衛組織）於2023年9月發布的數據，慢性病每年在全球造成4,100萬人死亡，佔所有死亡人數的74%。其中，心血管疾病死亡人數為1790萬，癌症死亡人數為930萬，慢性呼吸道疾病死亡人數為410萬，糖尿病死亡人數為200萬。因此，慢性病負擔的加重正在推動人工智慧在醫學影像領域的市場成長。

在醫學影像人工智慧市場中，主要企業正致力於開發雲端原生放射學作業系統等先進解決方案，以提高診斷準確性和工作流程效率。雲端原生放射學作業系統將影像資料、臨床流程和人工智慧工具整合到一個統一的平台中，實現更快、更準確的診斷。例如，2025年2月，美國公司DeepHealth發布了一個基於其DeepHealth OS系統的全新人工智慧放射資訊學和大規模篩選解決方案。該方案重點介紹了一套診斷套件，它透過一個統一的、人工智慧驅動的工作空間，整合了患者資訊、報告和視覺化工具，實現了傳統影像系統的現代化，供放射科醫生使用。該套件還包括SmartMammo，這是一款全面的乳房X光診斷SaaS解決方案，可提高癌症檢出率並增強工作流程整合。此外，該套件還支援基於人工智慧的肺癌、前列腺癌和腦部健康篩檢，加速診斷解讀速度，增強臨床信心。這些進展凸顯了DeepHealth如何為提高放射學領域的營運效率和推動精準醫療做出貢獻。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球人工智慧在醫學影像領域的市場：吸引力評分與分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 生物技術、基因組學和精準醫療
    • 數位化、雲端運算、巨量資料、網路安全
    • 物聯網、智慧基礎設施、互聯生態系統
    • 工業4.0和智慧製造
  • 主要趨勢
    • 人工智慧輔助影像診斷
    • 基於深度學習的影像分析
    • 放射科工作流程自動化
    • 即時影像診斷支持
    • 先進的影像重建技術

第5章 終端用戶產業市場分析

  • 醫院
  • 診斷影像中心
  • 放射科診所
  • 專業醫療中心
  • 學術醫療機構

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球人工智慧在醫療影像領域的市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球人工智慧市場規模、對比及成長率分析（應用於醫學影像領域）
  • 全球人工智慧市場在醫療影像領域的表現：規模與成長，2020-2025年
  • 全球人工智慧醫療影像市場預測：規模與成長，2025-2030年及2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 透過技術
  • 深度學習、自然語言處理（NLP）
  • 透過解決方案
  • 軟體工具和服務
  • 按模式
  • 電腦斷層掃描（CT）、磁振造影（MRI）、X光、超音波、核子醫學影像
  • 透過使用
  • 數位病理學、腫瘤學、心血管病學、神經病學、肺病學（呼吸系統）、乳房科（乳房X光檢查）、肝病學（消化系統）、口腔診斷等應用領域。
  • 按最終用途
  • 醫院、診斷影像中心和其他最終用戶
  • 按類型細分：深度學習
  • 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
  • 按類型進行子分割：自然語言處理 (NLP)
  • 語音辨識、文字分析、資訊擷取、臨床決策支援系統

第10章各國市場/產業指標

第11章 區域與國別分析

  • 全球人工智慧在醫療影像領域的市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
  • 全球人工智慧在醫學影像領域的市場：按國家/地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 人工智慧在醫學影像領域的市場：競爭格局和市場佔有率（2024 年）
  • 人工智慧在醫學影像領域的市場：公司估值矩陣
  • 人工智慧在醫學影像領域的市場：公司概況
    • Siemens Healthineers AG
    • GE HealthCare Technologies Inc.
    • Koninklijke Philips NV
    • Lunit Inc.
    • DeepMind

第38章 其他大型企業和創新企業

  • 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 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年人工智慧在醫學影像領域的市場展望：提供新機會的國家
  • 2030年醫療影像人工智慧市場：新興領域機會
  • 2030年人工智慧在醫學影像領域的市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
  • Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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
  • Customisation
  • Expert Consultant Support

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