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1604675

醫療診斷市場中的人工智慧：按組件、技術、應用和最終用戶分類 - 2025-2030 年全球預測

Artificial Intelligence in Healthcare Diagnosis Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Application, End-user - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 184 Pages | 商品交期: 最快1-2個工作天內

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人工智慧在醫療診斷市場的價值在2023年為21億美元，預計到2024年將達到25.3億美元，複合年成長率為21.23%，預計到2030年將達到80.8億美元。

人工智慧 (AI) 在醫療保健診斷中的範圍包括使用近似人類認知的演算法和軟體來分析、解釋和理解複雜的醫療資料。該領域需要人工智慧，因為它有可能顯著提高診斷過程的速度和準確性，減少醫療錯誤，並簡化醫院和診所的業務。該技術的應用包括影像分析、個人化醫療、預測分析和常規臨床任務的自動化。最終用戶包括希望提高業務效率和改善患者治療效果的醫院、診斷實驗室和研究機構。

主要市場統計
基準年[2023] 21億美元
預計年份 [2024] 25.3億美元
預測年份 [2030] 80.8億美元
複合年成長率（%） 21.23%

市場成長是由慢性病的流行、醫療資料的增加以及人工智慧技術的進步等因素所推動的。醫療保健提供者也投入了大量資金來整合人工智慧驅動的工具，利用巨量資料進行智慧決策。高科技公司和醫療保健提供者之間存在夥伴關係開發自訂人工智慧解決方案的潛在機會。投資基於雲端基礎的人工智慧解決方案並擴展新興市場的人工智慧功能可以帶來巨大的商業價值。抓住這些機會的建議包括注重協作創新和開發可擴展的人工智慧解決方案來解決資料隱私問題。

然而，市場面臨人工智慧整合高成本、資料隱私問題以及標準化監管需求等限制。挑戰包括有效訓練人工智慧模型所需的大型資料集以及人工智慧實施中現有的技能差距。為了應對這些挑戰，公司可以投資於培訓計劃和合作研究計劃。非常適合創新和研究的領域包括開發用於罕見疾病診斷的人工智慧系統、開發可解釋的人工智慧以實現透明的醫療決策以及促進平台之間無縫資料交換的互通性。 。市場競爭激烈，技術進步迅速，消費者對更個人化和高效的診斷護理的期望不斷變化，因此持續創新和敏捷性以保持市場相關性至關重要。

市場動態：對醫療診斷市場快速發展的人工智慧的關鍵市場洞察

醫療診斷領域的人工智慧市場正因供需的動態交互作用而轉變。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助消費行為及其對製造業的影響。

  • 市場促進因素
    • 醫學研究領域更採用人工智慧
    • 更多採用先進的疾病診斷解決方案
    • 針對老年人的基於人工智慧的工具和軟體的潛力不斷成長
  • 市場限制因素
    • 醫療保健行業缺乏經過培訓的人工智慧專業人員和專業知識
  • 市場機會
    • 政府和私營部門加速對人工智慧的投資
    • 政府對基於人工智慧的醫療診斷工具的核准激增
  • 市場問題
    • 對健康資料隱私和監管合規指南的擔憂

波特五力：引領醫療診斷人工智慧市場的策略工具

波特的五力框架是了解市場競爭格局的重要工具。波特的五力框架描述了評估公司競爭和探索策略機會的清晰方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點，避免潛在的挑戰，確保更強大的市場地位。

PESTLE分析：了解醫療診斷市場人工智慧的外部影響

外部宏觀環境因素在塑造醫療診斷市場人工智慧的績效動態發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析：了解醫療診斷人工智慧市場的競爭格局

對醫療診斷市場中人工智慧的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、細分和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣：醫療診斷市場人工智慧供應商績效評估

FPNV 定位矩陣是評估醫療診斷市場人工智慧供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議：規劃醫療診斷市場人工智慧的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對醫療診斷市場中的人工智慧進行策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭格局中的挑戰，利用新的商機並取得長期成功。

該報告對涵蓋關鍵焦點細分市場的市場進行了全面分析。

1.市場滲透率：對當前市場環境的詳細審查，主要企業的廣泛資料，評估他們在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有細分市場的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5.產品開發與創新：重點關注可望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策。

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品和地區提供最佳投資機會？

3.塑造市場的關鍵技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 醫學研究領域更採用人工智慧
      • 更多採用先進的疾病診斷解決方案
      • 擴大以人工智慧為基礎的工具和軟體對老年人的潛力
    • 抑制因素
      • 醫療行業缺乏經過培訓的人工智慧專業人員和專業知識
    • 機會
      • 政府和私營部門加速對人工智慧的投資
      • 政府增加對基於人工智慧的醫療診斷工具的核准
    • 任務
      • 對醫療資料隱私和監管合規指南的擔憂
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

第6章醫療診斷中的人工智慧市場：按組成部分

  • 介紹
  • 硬體
  • 服務
  • 軟體

第7章醫療診斷中的人工智慧市場：依技術分類

  • 介紹
  • 電腦視覺
  • 上下文感知計算
  • 機器學習
  • 自然語言處理

第8章醫療診斷中的人工智慧市場：按應用分類

  • 介紹
  • 心臟病學
  • 胸部和肺部掃描
  • 神經病學
  • 腫瘤學
  • 病理
  • 放射科

第9章醫療診斷中的人工智慧市場：按最終用戶分類

  • 介紹
  • 學術機構/研究中心
  • 診斷中心
  • 醫院

第10章美洲醫療診斷人工智慧市場

  • 介紹
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第11章亞太地區醫療診斷人工智慧市場

  • 介紹
  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第12章：歐洲、中東和非洲醫療診斷領域的人工智慧市場

  • 介紹
  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • Vuno 獲得人工智慧醫學影像分析技術美國專利
    • CLIRNET 推出印度首個人工智慧醫師助理 (AiDA)
    • 英國政府投資 1,600 萬英鎊發展人工智慧醫療技術，協助加速診斷速度
    • 飛利浦在 ECR 推出人工智慧驅動的整合診斷
    • 微軟在越南簽署首個人工智慧醫療保健夥伴關係關係
    • 拜耳收購英國醫學影像人工智慧開發商 Blackford
    • AI 醫學影像Start-UpsQritive 最新資金籌措750 萬美元
    • 梅奧診所擴大人工智慧診斷領域的夥伴關係
    • 貝克曼庫爾特收購人工智慧公司，為急診部提供證據驅動的臨床決策支持
    • RadNet 的癌症檢測演算法已獲得 FDA 批准
  • 戰略分析和建議

公司名單

  • Accenture PLC
  • Advanced Micro Devices, Inc
  • Aidence BV
  • Aidoc Medical Ltd.
  • Amazon Web Services, Inc.
  • Apixo, Inc.
  • Appinventiv Technologies Pvt. Ltd.
  • Arterys Inc.
  • Butterfly Network, Inc.
  • Caption Health, Inc.
  • CloudMedx Inc.
  • Day Zero Diagnostics Inc.
  • Digital Diagnostics Inc.
  • EchoNous Inc.
  • Enlitic, Inc
  • GE HealthCare Technologies Inc.
  • Google LLC
  • HeartFlow, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Koninkliike Philips NV
  • Lunit Inc.
  • Medtronic PLC
  • Microsoft Corporation
  • Nano-X Imaging Ltd.
  • NovaSignal Corporation
  • Nvidia Corporation
  • Prognos Health Inc.
  • Siemens Healthcare Private Limited
  • SolutionChamps Technologies Pvt. Ltd.
  • Sophia Genetics SA
Product Code: MRR-4103B31E04F5

The Artificial Intelligence in Healthcare Diagnosis Market was valued at USD 2.10 billion in 2023, expected to reach USD 2.53 billion in 2024, and is projected to grow at a CAGR of 21.23%, to USD 8.08 billion by 2030.

The scope of artificial intelligence (AI) in healthcare diagnosis encompasses the use of algorithms and software to approximate human cognition in the analysis, interpretation, and comprehension of complicated medical data. AI is necessary in this field due to its potential to substantially improve the speed and accuracy of diagnostic processes, reduce medical errors, and streamline operations in hospitals and clinics. This technology finds applications in imaging analysis, personalized medicine, predictive analytics, and automating routine clinical tasks. End-users include hospitals, diagnostic laboratories, and research institutions, aiming for increased operational efficiency and enhanced patient outcomes.

KEY MARKET STATISTICS
Base Year [2023] USD 2.10 billion
Estimated Year [2024] USD 2.53 billion
Forecast Year [2030] USD 8.08 billion
CAGR (%) 21.23%

Market growth is driven by factors such as the rising prevalence of chronic diseases, increasing healthcare data, and advancements in AI technology. The growing investment by healthcare providers to integrate AI-driven tools to leverage big data for intelligent decision-making is also significant. Potential opportunities exist in partnerships between tech companies and healthcare providers to develop custom AI solutions. Investment in cloud-based AI solutions and expanding AI capabilities in emerging markets could provide substantial business value. A recommendation to seize these opportunities includes focusing on collaborative innovation and developing scalable AI solutions that address data privacy concerns.

However, the market faces limitations such as the high cost of AI integration, data privacy issues, and the need for standardized regulations. Challenges include the requirement for large datasets to train AI models effectively and the existing skills gap in AI implementation. To navigate these challenges, businesses can invest in training programs and collaborative research initiatives. The best areas for innovation and research include developing AI systems for rare diseases diagnosis, advancing explainable AI for transparent healthcare decision-making, and creating interoperable systems that facilitate seamless data exchange across platforms. The market is competitive, marked by rapid technological advancements and evolving consumer expectations for more personalized and efficient diagnostic care, demanding constant innovation and an agile approach to maintaining market relevance.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Healthcare Diagnosis Market

The Artificial Intelligence in Healthcare Diagnosis Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Rising adoption of artificial intelligence in healthcare research areas
    • Increasing adoption of advanced disease diagnostic solutions
    • Growing potential for AI-based tools and software for the geriatric population
  • Market Restraints
    • Shortage of trained professionals and expertise in artificial intelligence for the medical industry
  • Market Opportunities
    • Accelerating investments by government and private sectors in artificial intelligence
    • Proliferation in government approvals for AI-based healthcare diagnosis tools
  • Market Challenges
    • Concern regarding medical data privacy and the guidelines for regulatory compliance

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Healthcare Diagnosis Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Healthcare Diagnosis Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Healthcare Diagnosis Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Healthcare Diagnosis Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Healthcare Diagnosis Market

A detailed market share analysis in the Artificial Intelligence in Healthcare Diagnosis Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Healthcare Diagnosis Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Healthcare Diagnosis Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Healthcare Diagnosis Market

A strategic analysis of the Artificial Intelligence in Healthcare Diagnosis Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Healthcare Diagnosis Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Component, market is studied across Hardware, Services, and Software.
  • Based on Technology, market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.
  • Based on Application, market is studied across Cardiology, Chest & Lung Scanning, Neurology, Oncology, Pathology, and Radiology.
  • Based on End-user, market is studied across Academic Institutions & Research Center, Diagnostic Center, and Hospitals.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Rising adoption of artificial intelligence in healthcare research areas
      • 5.1.1.2. Increasing adoption of advanced disease diagnostic solutions
      • 5.1.1.3. Growing potential for AI-based tools and software for the geriatric population
    • 5.1.2. Restraints
      • 5.1.2.1. Shortage of trained professionals and expertise in artificial intelligence for the medical industry
    • 5.1.3. Opportunities
      • 5.1.3.1. Accelerating investments by government and private sectors in artificial intelligence
      • 5.1.3.2. Proliferation in government approvals for AI-based healthcare diagnosis tools
    • 5.1.4. Challenges
      • 5.1.4.1. Concern regarding medical data privacy and the guidelines for regulatory compliance
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Healthcare Diagnosis Market, by Component

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Services
  • 6.4. Software

7. Artificial Intelligence in Healthcare Diagnosis Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Context-Aware Computing
  • 7.4. Machine Learning
  • 7.5. Natural Language Processing

8. Artificial Intelligence in Healthcare Diagnosis Market, by Application

  • 8.1. Introduction
  • 8.2. Cardiology
  • 8.3. Chest & Lung Scanning
  • 8.4. Neurology
  • 8.5. Oncology
  • 8.6. Pathology
  • 8.7. Radiology

9. Artificial Intelligence in Healthcare Diagnosis Market, by End-user

  • 9.1. Introduction
  • 9.2. Academic Institutions & Research Center
  • 9.3. Diagnostic Center
  • 9.4. Hospitals

10. Americas Artificial Intelligence in Healthcare Diagnosis Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Artificial Intelligence in Healthcare Diagnosis Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Healthcare Diagnosis Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Vuno Gets US Patent for AI Medical Image Analysis Technology
    • 13.3.2. CLIRNET Launches India's First AI-Powered Doctor's Assistant (AiDA)
    • 13.3.3. UK Government Invests GBP 16 Million in AI Healthcare Technologies to Help Speed Up Diagnostics
    • 13.3.4. Philips Highlights AI-Powered Integrated Diagnostics at ECR
    • 13.3.5. Microsoft Signs First AI Healthcare Partnership in Vietnam
    • 13.3.6. Bayer Acquires British Medical Imaging AI Developer Blackford
    • 13.3.7. AI Medical Imaging Startup Qritive Raises USD 7.5 Million in Latest Funding
    • 13.3.8. Mayo Clinic Expands Artificial Intelligence-Enabled Diagnostics Partnership
    • 13.3.9. Beckman Coulter Acquires Artificial Intelligence Company Providing Evidence-Based Clinical Decision Support for Emergency Departments
    • 13.3.10. RadNet Receives FDA Clearance for Cancer Detection Algorithms
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Accenture PLC
  • 2. Advanced Micro Devices, Inc
  • 3. Aidence B.V.
  • 4. Aidoc Medical Ltd.
  • 5. Amazon Web Services, Inc.
  • 6. Apixo, Inc.
  • 7. Appinventiv Technologies Pvt. Ltd.
  • 8. Arterys Inc.
  • 9. Butterfly Network, Inc.
  • 10. Caption Health, Inc.
  • 11. CloudMedx Inc.
  • 12. Day Zero Diagnostics Inc.
  • 13. Digital Diagnostics Inc.
  • 14. EchoNous Inc.
  • 15. Enlitic, Inc
  • 16. GE HealthCare Technologies Inc.
  • 17. Google LLC
  • 18. HeartFlow, Inc.
  • 19. Intel Corporation
  • 20. International Business Machines Corporation
  • 21. Koninkliike Philips N.V.
  • 22. Lunit Inc.
  • 23. Medtronic PLC
  • 24. Microsoft Corporation
  • 25. Nano-X Imaging Ltd.
  • 26. NovaSignal Corporation
  • 27. Nvidia Corporation
  • 28. Prognos Health Inc.
  • 29. Siemens Healthcare Private Limited
  • 30. SolutionChamps Technologies Pvt. Ltd.
  • 31. Sophia Genetics S A

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET RESEARCH PROCESS
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CONTEXT-AWARE COMPUTING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CHEST & LUNG SCANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY RADIOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY ACADEMIC INSTITUTIONS & RESEARCH CENTER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY DIAGNOSTIC CENTER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 32. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 45. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 57. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 61. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 62. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 63. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 66. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 67. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 70. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 71. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 73. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 74. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 75. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 78. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 79. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 82. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 83. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 85. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 86. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 87. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 90. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 94. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 95. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 98. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 99. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 102. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 103. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 105. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 106. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 107. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 110. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 111. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 112. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 114. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 115. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 116. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 118. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 119. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 120. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 122. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 123. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 124. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 127. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 128. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 130. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 131. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 132. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 134. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 135. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 136. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 138. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 139. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 140. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 143. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 144. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 146. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 147. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 148. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 150. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 151. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 152. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 154. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 155. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 156. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 158. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 159. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 160. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 162. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 163. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 164. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 166. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 167. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 171. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 172. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 175. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 176. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 178. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 179. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 180. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 182. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 183. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 184. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 186. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 187. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 194. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 195. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 196. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET, FPNV POSITIONING MATRIX, 2023