2025年全球診斷領域深度學習市場報告

近年來，深度學習在診斷領域的市場規模呈指數級成長，從2024年的25.6億美元成長到2025年的34.9億美元，複合年成長率高達36.1%。這一成長主要得益於以下因素：電子健康記錄病歷中醫療保健數據的可用性不斷提高；雲端基礎的診斷平台應用日益廣泛；對更快診斷週轉時間的需求不斷成長；發展中地區對經濟高效的診斷解決方案的需求不斷成長；以及深度學習在基因組學和精準診斷領域的應用日益廣泛。

預計未來幾年，深度學習在診斷領域的市場將呈指數級成長，到2029年市場規模將達到118.5億美元，複合年成長率（CAGR）高達35.8%。預測期內的成長預計將受到以下因素的驅動：對早期精準疾病檢測的需求不斷成長；慢性病和文明病的盛行率不斷上升；人工智慧醫療研發投入的增加；減少診斷錯誤和提高準確性的需求日益成長；以及數位病理學和放射學解決方案的日益普及。預測期內的主要趨勢包括：人工智慧賦能的3D影像技術的進步；人工智慧與電子健康記錄的整合；疾病檢測預測分析技術的進步；人工智慧與基因組學和多組體學資料的整合；以及自動化影像解讀技術的創新。

醫療保健數位化趨勢的日益成長預計將推動診斷領域深度學習市場的擴張。醫療保健數位化是指將數位技術整合到醫療保健系統中，以提高效率、數據管理、可近性和患者照護。這項轉變的驅動力在於管理和安全交換日益成長的患者資料的需求，從而實現更好的協作和更明智的決策。醫療保健數位化從醫學影像、電子健康記錄和連網設備等來源產生大量數據，從而催生了對診斷領域深度學習的需求。深度學習技術能夠有效率地處理這些數據，並提供比傳統方法更快、更準確的洞察。例如，英國衛生和社會保障部在2022年6月報告稱，預計所有NHS信託機構將在2025年3月前實現電子健康記錄的普及，預計到2023年12月，電子病歷的普及率將達到90%。醫療保健數位化的不斷推進正在推動診斷領域對深度學習的需求。

深度學習診斷市場的企業正在推動人工智慧解決方案，以提高診斷的準確性、速度和個人化護理。人工智慧主導的深度學習解決方案利用人工智慧和分層神經網路自動分析複雜的醫療數據，識別模式，並在最大限度減少人工干預的情況下產生高度準確的診斷結果。例如，2025年5月，美國醫療技術公司GE醫療科技宣布推出CleaRecon DL系統，旨在提高影像重建和診斷準確性。該系統透過消除條紋偽影來改善錐狀射束CT（CBCT）影像，從而為介入手術提供更清晰、更準確的影像。臨床研究表明，該技術使影像清晰度提高了98%，臨床醫生信心提高了94%。此解決方案簡化了工作流程，並支持更有效的影像導引治療，最終改善患者的治療效果。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球診斷領域的深度學習：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
• 終端用戶產業分析
• 全球診斷領域深度學習市場：成長率分析
• 全球診斷領域深度學習市場表現：規模與成長，2019-2024年
• 全球診斷領域深度學習市場預測：規模與成長，2024-2029年，2034年預測
• 全球診斷領域深度學習：潛在市場規模 (TAM)

第6章 市場細分

• 全球診斷領域深度學習市場：依組件分類，實際值及預測值，2019-2024年、2024-2029年預測值、2034年預測值
• 軟體
• 硬體
• 服務
• 全球診斷領域深度學習市場：依部署模式、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
• 雲端基礎的
• 本地部署
• 全球診斷領域深度學習市場：依應用、效能與預測分類，2019-2024年、2024-2029年預測、2034年預測
• 醫學影像
• 病理
• 基因組學
• 藥物發現
• 其他用途
• 全球診斷領域深度學習市場：依最終用戶分類，實際數據和預測數據，2019-2024年、2024-2029年預測數據、2034年預測數據
• 醫院
• 診斷實驗室
• 研究所
• 其他最終用戶
• 全球診斷領域深度學習市場：依軟體、類型、實際值及預測值細分，2019-2024年、2024-2029年預測值、2034年預測值
• 診斷影像軟體
• 病理分析軟體
• 基因組數據分析軟體
• 全球診斷領域深度學習市場：按硬體、類型、實際值和預測值分類的細分市場，2019-2024年、2024-2029年預測值、2034年預測值
• 儲存裝置
• 網路裝置
• 診斷影像設備
• 全球診斷領域深度學習市場：按服務、類型、效能和預測細分，2019-2024年、2024-2029年預測、2034年預測
• 部署和整合服務
• 培訓和教育服務
• 諮詢服務

第7章 區域和國家分析

• 全球診斷領域深度學習市場：按地區、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
• 全球診斷領域深度學習市場：國家、績效及預測，2019-2024年、2024-2029年預測、2034年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

• 診斷領域深度學習市場：競爭格局
• 診斷領域深度學習市場：公司概況
  • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Siemens Healthineers AG Overview, Products and Services, Strategy and Financial Analysis
  • Koninklijke Philips NV Overview, Products and Services, Strategy and Financial Analysis
  • GE HealthCare Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Tempus AI Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

• Qure.ai Technologies Pvt. Ltd.
• Freenome Holdings Inc.
• PathAI Inc.
• Aidoc Medical Ltd.
• Viz.ai Inc.
• SOPHiA GENETICS SA
• Lunit Inc.
• Paige.AI Inc.
• Beijing Infervision Technology Co. Ltd.
• Indica Labs Inc.
• CureMetrix Inc.
• Deep Bio Inc.
• Enlitic Inc.
• ScreenPoint Medical BV
• VUNO Inc.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

• 2029年診斷領域深度學習市場：提供新機會的國家
• 2029年診斷市場深度學習：新興細分領域蘊藏新的機會
• 2029年診斷領域深度學習市場：成長策略
  • 基於市場趨勢的策略
  • 競爭對手策略

第36章附錄

Deep learning in diagnostics refers to the application of advanced artificial intelligence techniques, particularly multi-layered neural networks, to analyze complex medical data such as images, signals, or patient records. It assists in identifying patterns, detecting diseases, predicting outcomes, and supporting clinical decision-making with higher speed and accuracy compared to traditional methods.

The primary components of deep learning in diagnostics include software, hardware, and services. Software consists of programs, instructions, or data that direct a computer or device to perform specific tasks. Deployment methods include cloud-based and on-premises solutions. Applications span medical imaging, pathology, genomics, drug discovery, and other areas, serving end users such as hospitals, diagnostic laboratories, research institutes, and others.

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 sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The deep learning in diagnostic market research report is one of a series of new reports from The Business Research Company that provides deep learning in diagnostic market statistics, including deep learning in the diagnostic industry's global market size, regional shares, competitors with deep learning in diagnostic market share, detailed deep learning in diagnostic market segments, market trends and opportunities, and any further data you may need to thrive in the deep learning in the diagnostic industry. This deep learning in diagnostic 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 deep learning in diagnostics market size has grown exponentially in recent years. It will grow from $2.56 billion in 2024 to $3.49 billion in 2025 at a compound annual growth rate (CAGR) of 36.1%. Growth in the historic period was driven by increasing availability of healthcare data from electronic health records, rising adoption of cloud-based diagnostic platforms, higher demand for faster diagnostic turnaround times, growing need for cost-effective diagnostic solutions in developing regions, and expanded use of deep learning in genomics and precision diagnostics.

The deep learning in diagnostics market size is expected to see exponential growth in the next few years. It will grow to $11.85 billion in 2029 at a compound annual growth rate (CAGR) of 35.8%. Growth in the forecast period is expected to result from rising demand for early and accurate disease detection, growing prevalence of chronic and lifestyle-related diseases, increased investment in AI healthcare research and development, stronger need to reduce diagnostic errors and improve accuracy, and greater use of digital pathology and radiology solutions. Primary trends anticipated for the forecast period include advancements in AI-powered 3D imaging, integration of AI with electronic health records, progress in predictive analytics for disease detection, incorporation of AI with genomics and multi-omics data, and innovations in automated image interpretation.

The growing trend of healthcare digitization is expected to drive the expansion of the deep learning in diagnostics market. Healthcare digitization refers to the integration of digital technologies in healthcare systems to improve efficiency, data management, accessibility, and patient care. This shift is fueled by the need to manage and securely exchange the increasing volumes of patient data, enabling better coordination and more informed decision-making. The digitization of healthcare generates vast amounts of data from sources such as medical imaging, electronic health records, and connected devices, creating a demand for deep learning in diagnostics. Deep learning technologies can process this data efficiently and deliver faster, more accurate insights than traditional methods. For example, the Department of Health and Social Care in the UK reported in June 2022 that by March 2025, all NHS trusts are expected to have implemented electronic health records, up from 90% adoption by December 2023. This rise in healthcare digitization is driving the demand for deep learning in diagnostics.

Companies in the deep learning diagnostics market are advancing AI-powered solutions to improve diagnostic accuracy, speed, and personalized care. An AI-driven deep learning solution leverages artificial intelligence and layered neural networks to automatically analyze complex medical data, identify patterns, and produce highly accurate diagnostic insights with minimal human involvement. For instance, in May 2025, GE Healthcare Technologies, a U.S.-based medical technology company, launched CleaRecon DL, designed to enhance image reconstruction and diagnostic accuracy. This system improves cone-beam CT (CBCT) images by removing streak artifacts, providing clearer and more accurate images for interventional procedures. Clinical studies have shown that the technology results in 98% clearer images and 94% improved confidence among clinicians. This solution ultimately improves patient outcomes by streamlining workflow and enabling more effective, image-guided treatments.

In November 2022, Anumana Inc., a U.S.-based AI health technology company, acquired NeuTrace Inc. for an undisclosed sum. This acquisition allows Anumana to strengthen its position in AI medical software for cardiac electrophysiology by integrating NeuTrace's EP Data Biome platform and AI-enabled electrophysiology applications into its offerings. NeuTrace specializes in AI-powered diagnostic solutions, with deep learning being a core technology for analyzing medical data such as images and signals. This partnership is expected to enhance real-time data integration and clinical decision support in the cardiac electrophysiology field.

Major players in the deep learning in diagnostics market are International Business Machines Corporation, Siemens Healthineers AG, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Tempus AI Inc., Qure.ai Technologies Pvt. Ltd., Freenome Holdings Inc., PathAI Inc., Aidoc Medical Ltd., Viz.ai Inc., SOPHiA GENETICS SA, Lunit Inc., Paige.AI Inc., Beijing Infervision Technology Co. Ltd., Indica Labs Inc., CureMetrix Inc., Deep Bio Inc., Enlitic Inc., ScreenPoint Medical B.V., VUNO Inc., Mindpeak GmbH, and Arterys Inc.

North America was the largest region in the deep learning in diagnostics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in deep learning in diagnostics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The deep learning in diagnostics market includes revenues earned by entities by providing services such as customized algorithm development services, real-time diagnostic monitoring services, genomic and biomarker analysis services, patient data integration and interpretation services, and disease risk prediction services. The market value includes the value of related goods sold by the service provider or included within the service offering. The deep learning in diagnostics market also consists of sales of graphics processing units, edge AI devices, AI-enhanced CT scanners, and ultrasound devices. 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.

Deep Learning In Diagnostics 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 deep learning in diagnostics 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 deep learning in diagnostics ? 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 deep learning in diagnostics 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 Component: Software; Hardware; Services
• 2) By Deployment Mode: Cloud-Based; On-Premises
• 3) By Application: Medical Imaging; Pathology; Genomics; Drug Discovery; Other Applications
• 4) By End-User: Hospitals; Diagnostic Laboratories; Research Institutes; Other End-Users
• Subsegments:
• 1) By Software: Diagnostic Imaging Software; Pathology Analysis Software; Genomic Data Analysis Software
• 2) By Hardware: Storage Devices; Networking Devices; Diagnostic Imaging Equipment
• 3) By Services: Deployment And Integration Services; Training And Education Services; Consulting Services
• Companies Mentioned: International Business Machines Corporation; Siemens Healthineers AG; Koninklijke Philips N.V.; GE HealthCare Technologies Inc.; Tempus AI Inc.; Qure.ai Technologies Pvt. Ltd.; Freenome Holdings Inc.; PathAI Inc.; Aidoc Medical Ltd.; Viz.ai Inc.; SOPHiA GENETICS SA; Lunit Inc.; Paige.AI Inc.; Beijing Infervision Technology Co. Ltd.; Indica Labs Inc.; CureMetrix Inc.; Deep Bio Inc.; Enlitic Inc.; ScreenPoint Medical B.V.; VUNO Inc.; Mindpeak GmbH; Arterys Inc.
• 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. Deep Learning In Diagnostics Market Characteristics

3. Deep Learning In Diagnostics Market Trends And Strategies

4. Deep Learning In Diagnostics 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 Deep Learning In Diagnostics Growth Analysis And Strategic Analysis Framework

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

6. Deep Learning In Diagnostics Market Segmentation

• 6.1. Global Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Software
• Hardware
• Services
• 6.2. Global Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud-Based
• On-Premises
• 6.3. Global Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Medical Imaging
• Pathology
• Genomics
• Drug Discovery
• Other Applications
• 6.4. Global Deep Learning In Diagnostics Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hospitals
• Diagnostic Laboratories
• Research Institutes
• Other End-Users
• 6.5. Global Deep Learning In Diagnostics Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Diagnostic Imaging Software
• Pathology Analysis Software
• Genomic Data Analysis Software
• 6.6. Global Deep Learning In Diagnostics Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Storage Devices
• Networking Devices
• Diagnostic Imaging Equipment
• 6.7. Global Deep Learning In Diagnostics Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Deployment And Integration Services
• Training And Education Services
• Consulting Services

7. Deep Learning In Diagnostics Market Regional And Country Analysis

• 7.1. Global Deep Learning In Diagnostics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Deep Learning In Diagnostics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Deep Learning In Diagnostics Market

• 8.1. Asia-Pacific Deep Learning In Diagnostics 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 Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Deep Learning In Diagnostics Market

• 9.1. China Deep Learning In Diagnostics Market Overview
• 9.2. China Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Deep Learning In Diagnostics Market

• 10.1. India Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Deep Learning In Diagnostics Market

• 11.1. Japan Deep Learning In Diagnostics Market Overview
• 11.2. Japan Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Deep Learning In Diagnostics Market

• 12.1. Australia Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Deep Learning In Diagnostics Market

• 13.1. Indonesia Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Deep Learning In Diagnostics Market

• 14.1. South Korea Deep Learning In Diagnostics Market Overview
• 14.2. South Korea Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Deep Learning In Diagnostics Market

• 15.1. Western Europe Deep Learning In Diagnostics Market Overview
• 15.2. Western Europe Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Deep Learning In Diagnostics Market

• 16.1. UK Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Deep Learning In Diagnostics Market

• 17.1. Germany Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Deep Learning In Diagnostics Market

• 18.1. France Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Deep Learning In Diagnostics Market

• 19.1. Italy Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Deep Learning In Diagnostics Market

• 20.1. Spain Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Deep Learning In Diagnostics Market

• 21.1. Eastern Europe Deep Learning In Diagnostics Market Overview
• 21.2. Eastern Europe Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Deep Learning In Diagnostics Market

• 22.1. Russia Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Deep Learning In Diagnostics Market

• 23.1. North America Deep Learning In Diagnostics Market Overview
• 23.2. North America Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Deep Learning In Diagnostics Market

• 24.1. USA Deep Learning In Diagnostics Market Overview
• 24.2. USA Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Deep Learning In Diagnostics Market

• 25.1. Canada Deep Learning In Diagnostics Market Overview
• 25.2. Canada Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Deep Learning In Diagnostics Market

• 26.1. South America Deep Learning In Diagnostics Market Overview
• 26.2. South America Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Deep Learning In Diagnostics Market

• 27.1. Brazil Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Deep Learning In Diagnostics Market

• 28.1. Middle East Deep Learning In Diagnostics Market Overview
• 28.2. Middle East Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Deep Learning In Diagnostics Market

• 29.1. Africa Deep Learning In Diagnostics Market Overview
• 29.2. Africa Deep Learning In Diagnostics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Deep Learning In Diagnostics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Deep Learning In Diagnostics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Deep Learning In Diagnostics Market Competitive Landscape And Company Profiles

• 30.1. Deep Learning In Diagnostics Market Competitive Landscape
• 30.2. Deep Learning In Diagnostics Market Company Profiles
  • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Siemens Healthineers AG Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Koninklijke Philips N.V. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. GE HealthCare Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Tempus AI Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Deep Learning In Diagnostics Market Other Major And Innovative Companies

• 31.1. Qure.ai Technologies Pvt. Ltd.
• 31.2. Freenome Holdings Inc.
• 31.3. PathAI Inc.
• 31.4. Aidoc Medical Ltd.
• 31.5. Viz.ai Inc.
• 31.6. SOPHiA GENETICS SA
• 31.7. Lunit Inc.
• 31.8. Paige.AI Inc.
• 31.9. Beijing Infervision Technology Co. Ltd.
• 31.10. Indica Labs Inc.
• 31.11. CureMetrix Inc.
• 31.12. Deep Bio Inc.
• 31.13. Enlitic Inc.
• 31.14. ScreenPoint Medical B.V.
• 31.15. VUNO Inc.

32. Global Deep Learning In Diagnostics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Deep Learning In Diagnostics Market

34. Recent Developments In The Deep Learning In Diagnostics Market

35. Deep Learning In Diagnostics Market High Potential Countries, Segments and Strategies

• 35.1 Deep Learning In Diagnostics Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Deep Learning In Diagnostics Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Deep Learning In Diagnostics 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