查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1604675

医疗诊断市场中的人工智慧：按组件、技术、应用和最终用户划分 - 2025-2030 年全球预测

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个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

人工智慧在医疗诊断市场的价值在2023年为21亿美元，预计到2024年将达到25.3亿美元，复合年增长率为21.23%，预计到2030年将达到80.8亿美元。

人工智慧 (AI) 在医疗保健诊断中的范围包括使用近似人类认知的演算法和软体来分析、解释和理解复杂的医疗资料。该领域需要人工智慧，因为它有可能显着提高诊断过程的速度和准确性，减少医疗错误，并简化医院和诊所的业务。该技术的应用包括影像分析、个人化医疗、预测分析和常规临床任务的自动化。最终用户包括希望提高业务效率和改善患者治疗效果的医院、诊断实验室和研究机构。

主要市场统计
基准年[2023] 21亿美元
预计年份 [2024] 25.3亿美元
预测年份 [2030] 80.8亿美元
复合年增长率（%） 21.23%

市场成长是由慢性病的流行、医疗资料的增加以及人工智慧技术的进步等因素所推动的。医疗保健提供者也投入了大量资金来整合人工智慧驱动的工具，利用巨量资料进行智慧决策。高科技公司和医疗保健提供者之间存在伙伴关係开发自订人工智慧解决方案的潜在机会。投资基于云端基础的人工智慧解决方案并扩展新兴市场的人工智慧功能可以带来巨大的商业价值。抓住这些机会的建议包括注重协作创新和开发可扩展的人工智慧解决方案来解决资料隐私问题。

然而，市场面临人工智慧整合高成本、资料隐私问题以及标准化监管需求等限制。挑战包括有效训练人工智慧模型所需的大型资料集以及人工智慧实施中现有的技能差距。为了应对这些挑战，公司可以投资于培训计划和合作研究计划。非常适合创新和研究的领域包括开发用于罕见疾病诊断的人工智慧系统、开发可解释的人工智慧以实现透明的医疗决策以及促进平台之间无缝资料交换的互通性。 。市场竞争激烈，技术进步迅速，消费者对更个人化和高效的诊断护理的期望不断变化，因此持续创新和敏捷性以保持市场相关性至关重要。

市场动态：对医疗诊断市场快速发展的人工智慧的关键市场洞察

医疗诊断领域的人工智慧市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 医学研究领域更采用人工智慧
    • 更多采用先进的疾病诊断解决方案
    • 针对老年人的基于人工智慧的工具和软体的潜力不断增长
  • 市场限制因素
    • 医疗保健行业缺乏经过培训的人工智慧专业人员和专业知识
  • 市场机会
    • 政府和私营部门加速对人工智慧的投资
    • 政府对基于人工智慧的医疗诊断工具的核准激增
  • 市场问题
    • 对健康资料隐私和监管合规指南的担忧

波特五力：引领医疗诊断人工智慧市场的策略工具

波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架描述了评估公司竞争和探索策略机会的清晰方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点，避免潜在的挑战，确保更强大的市场地位。

PESTLE分析：了解医疗诊断市场人工智慧的外部影响

外部宏观环境因素在塑造医疗诊断市场人工智慧的绩效动态发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析：了解医疗诊断人工智慧市场的竞争格局

对医疗诊断市场中人工智慧的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、细分和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵：医疗诊断市场人工智慧供应商绩效评估

FPNV 定位矩阵是评估医疗诊断市场人工智慧供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议：规划医疗诊断市场人工智慧的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对医疗诊断市场中的人工智慧进行策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争格局中的挑战，利用新的商机并取得长期成功。

该报告对涵盖关键焦点细分市场的市场进行了全面分析。

1.市场渗透率：对当前市场环境的详细审查，主要企业的广泛资料，评估他们在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有细分市场的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5.产品开发与创新：重点关注可望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策。

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品和地区提供最佳投资机会？

3.塑造市场的关键技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 医学研究领域更采用人工智慧
      • 更多采用先进的疾病诊断解决方案
      • 扩大以人工智慧为基础的工具和软体对老年人的潜力
    • 抑制因素
      • 医疗行业缺乏经过培训的人工智慧专业人员和专业知识
    • 机会
      • 政府和私营部门加速对人工智慧的投资
      • 政府增加对基于人工智慧的医疗诊断工具的核准
    • 任务
      • 对医疗资料隐私和监管合规指南的担忧
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 法律
    • 环境

第六章医疗诊断中的人工智慧市场：按组成部分

  • 介绍
  • 硬体
  • 服务
  • 软体

第七章医疗诊断中的人工智慧市场：依技术分类

  • 介绍
  • 电脑视觉
  • 上下文感知计算
  • 机器学习
  • 自然语言处理

第八章医疗诊断中的人工智慧市场：按应用分类

  • 介绍
  • 心臟病学
  • 胸部和肺部扫描
  • 神经病学
  • 肿瘤学
  • 病理
  • 放射科

第九章医疗诊断中的人工智慧市场：按最终用户划分

  • 介绍
  • 学术机构/研究中心
  • 诊断中心
  • 医院

第十章美洲医疗诊断人工智慧市场

  • 介绍
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章亚太地区医疗诊断人工智慧市场

  • 介绍
  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十二章：欧洲、中东和非洲医疗诊断领域的人工智慧市场

  • 介绍
  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • Vuno 获得人工智慧医学影像分析技术美国专利
    • CLIRNET 推出印度首个人工智慧医师助理 (AiDA)
    • 英国政府投资 1,600 万英镑发展人工智慧医疗技术，协助加速诊断速度
    • 飞利浦在 ECR 推出人工智慧驱动的整合诊断
    • 微软在越南签署首个人工智慧医疗保健伙伴关係关係
    • 拜耳收购英国医学影像人工智慧开发商 Blackford
    • AI 医学影像Start-UpsQritive 最新资金筹措750 万美元
    • 梅奥诊所扩大人工智慧诊断领域的伙伴关係
    • 贝克曼库尔特收购人工智慧公司，为急诊部提供证据驱动的临床决策支持
    • RadNet 的癌症检测演算法已获得 FDA 批准
  • 战略分析和建议

公司名单

  • 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