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市场调查报告书
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医疗保健人工智慧市场：按类型、应用和最终用户划分 - 全球预测 2025-2030

Artificial Intelligence in Medicine Market by Type (Hardware, Services, Software), Application (Disease Diagnosis & Identification, Patient Care, Research & Drug Invention), End User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2个工作天内

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2023年医疗保健市场人工智慧的市场规模为44.4亿美元，预计2024年将达到58.5亿美元，复合年增长率为31.97%，预计到2030年将达到309.7亿美元。

医疗保健中的人工智慧 (AI) 是一个快速发展的领域，涉及人工智慧技术的应用，以增强医疗保健服务、诊断和患者照护。该领域对人工智慧的需求凸显出其在提高准确性、个人化治疗计画、减少人为错误和简化管理流程方面的潜力。应用范围从疾病管理中的预测分析和人工智慧主导的诊断到机器人手术和虚拟健康助理，为包括医院、研究机构、诊所和生物技术公司在内的多个最终用途部门提供服务。该市场的推动因素包括医疗保健环境中资料量的增加、人工智慧演算法的进步以及医疗保健 IT 投资的增加。主要商业机会包括实施人工智慧进行早期疾病检测、增强药物发现流程以及优化医疗机构的资源分配。利用这些机会的建议包括投资人工智慧人才、促进科技和医疗保健产业之间的合作，以及优先考虑资料隐私和遵守 HIPAA 等法规结构。

主要市场统计
基准年[2023] 44.4亿美元
预计年份 [2024] 58.5亿美元
预测年份 [2030] 309.7亿美元
复合年增长率（%） 31.97%

阻碍市场成长的挑战包括资料安全问题、人工智慧整合的高昂初始成本以及缺乏管理人工智慧系统的熟练专业人员。使用人工智慧进行患者管理也存在监管和道德方面的限制，这也导致其采用速度减慢。然而，我们正在为罕见疾病研究开发人工智慧、提高人工智慧模型的可解释性以建立医疗保健专业人员之间的信任以及利用人工智慧进行个人化医疗等领域进行创新。该市场本质上是动态的，其特点是不断进步和越来越多专注于利基人工智慧医疗保健解决方案的新兴企业。跟上技术进步、培养跨部门伙伴关係以及维持强大的资料管治结构对于公司在这一竞争格局中取得成功至关重要。对精准医疗和即时健康分析的日益关注为进一步创新和市场扩张提供了肥沃的土壤。

市场动态：对医疗保健市场快速发展的人工智慧的关键市场洞察

医疗保健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，同时也能帮助企业了解消费行为及其对製造业的影响。

  • 市场驱动因素
    • 对更有效的药物发现的需求不断增加
    • 降低医疗费用的需求日益增加
    • 越来越重视实施数位转型以实现成本降低
  • 市场限制因素
    • 缺乏熟练的专业人员
  • 市场机会
    • 越来越关注人类感知人工智慧系统的开发
    • 精准医疗的重要性日益增加
  • 市场挑战
    • 人们对资料隐私的担忧日益加剧

波特五力：驾驭医疗保健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。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。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，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解医疗保健市场人工智慧的外部影响

外部宏观环境因素在塑造医疗保健市场人工智慧的绩效动态方面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，并帮助他们做出积极主动的决策。

市场占有率分析 了解医疗保健人工智慧市场的竞争格局

对医疗保健市场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、分散和整合的趋势，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 医疗保健市场人工智慧定位矩阵供应商绩效评估

FPNV 定位矩阵是评估医疗保健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商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

规划人工智慧在策略分析和医疗建议市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对医疗保健市场中的人工智慧进行策略分析至关重要。透过考虑关键资源、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环境中的挑战，利用新的商机并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：详细检视当前市场环境、主要企业的广泛资料、评估其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，评估现有领域的扩张潜力，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：重点在于有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，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、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要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
      • 对更有效药物发现的需求不断增加
      • 降低医疗费用的需求日益增加
      • 专注于实施数位转型实践，实现成本节约
    • 抑制因素
      • 缺乏熟练的专业人员
    • 机会
      • 识别人类的人工智慧系统的发展正引起越来越多的关注。
      • 精准医疗的重要性日益增加
    • 任务
      • 人们对资料隐私的担忧日益加剧
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章 医疗保健领域的人工智慧市场：按类型

  • 硬体
  • 服务
  • 软体

第七章 医疗保健领域的人工智慧市场：依应用分类

  • 疾病的诊断和鑑定
  • 患者照护
  • 研究和药物发明

第八章医疗保健中的人工智慧市场：按最终用户划分

  • 责任制医疗组织与管理式医疗组织
  • 病人
  • 付款人
  • 製药和生物技术公司
  • 提供者

第九章美洲医疗保健人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十章 亚太地区医疗保健人工智慧市场

  • 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

第十一章：欧洲、中东和非洲医疗保健领域的人工智慧市场

  • 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

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议

公司名单

  • Atomwise, Inc.
  • BenevolentAI
  • Berg LLC
  • Bioxcel Therapeutics, Inc.
  • Enlitic Inc.
  • Google LLC by Alphabet Inc.
  • InSilico Medicine
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • PathAI, Inc.
  • Recursion Pharmaceuticals, Inc.
  • Tempus Labs, Inc.
  • Verge Analytics, Inc.
Product Code: MRR-4330CC794AA4

The Artificial Intelligence in Medicine Market was valued at USD 4.44 billion in 2023, expected to reach USD 5.85 billion in 2024, and is projected to grow at a CAGR of 31.97%, to USD 30.97 billion by 2030.

Artificial Intelligence (AI) in medicine is a rapidly evolving field that involves the application of AI technologies to enhance healthcare delivery, diagnostics, and patient care. The necessity of AI in this sector is underscored by its potential to improve accuracy, personalize treatment plans, reduce human error, and streamline administrative processes. Applications range from predictive analytics in disease management and AI-driven diagnostics to robotic surgeries and virtual health assistants, serving multiple end-use sectors such as hospitals, research institutes, clinics, and biotechnology companies. The market is propelled by factors like increasing data volume in healthcare settings, advancements in AI algorithms, and growing investment in healthcare IT. Key opportunities include deploying AI for early detection of diseases, enhancing drug discovery processes, and optimizing resource allocation in healthcare facilities. Recommendations to capitalize on these opportunities involve investing in AI talent, fostering collaborations between tech and healthcare sectors, and prioritizing data privacy and compliance with regulatory frameworks like HIPAA.

KEY MARKET STATISTICS
Base Year [2023] USD 4.44 billion
Estimated Year [2024] USD 5.85 billion
Forecast Year [2030] USD 30.97 billion
CAGR (%) 31.97%

Challenges hindering market growth include concerns about data security, high initial costs of AI integration, and a shortage of skilled professionals capable of managing AI systems. Another limitation is the regulatory and ethical considerations associated with using AI for patient management, which can slow its adoption. However, innovation can be pursued in areas such as developing AI for rare disease research, enhancing interpretability of AI models to build trust among healthcare professionals, and leveraging AI for personalized medicine. The market is inherently dynamic, marked by continuous advancements and an increasing number of startups focused on niche AI healthcare solutions. Staying abreast with technological advancements, fostering cross-disciplinary partnerships, and maintaining robust data governance structures are crucial for businesses to thrive in this competitive landscape. The growing emphasis on precision medicine and real-time health analytics offers fertile ground for further innovation and market expansion.

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

The Artificial Intelligence in Medicine 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 demand to improve the efficiency of drug discovery
    • Increase in need to reduce healthcare costs
    • Increased emphasis on adoption of digital transformation practices to realize cost savings
  • Market Restraints
    • Unavailability of skilled professionals
  • Market Opportunities
    • Rising focus on developing human-aware artificial intelligence systems
    • Growing importance of precision medicine
  • Market Challenges
    • Growing concerns regarding data privacy

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Medicine 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 Medicine Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Medicine 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 Medicine Market

A detailed market share analysis in the Artificial Intelligence in Medicine 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 Medicine Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Medicine 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 Medicine Market

A strategic analysis of the Artificial Intelligence in Medicine 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 Medicine Market, highlighting leading vendors and their innovative profiles. These include Atomwise, Inc., BenevolentAI, Berg LLC, Bioxcel Therapeutics, Inc., Enlitic Inc., Google LLC by Alphabet Inc., InSilico Medicine, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, PathAI, Inc., Recursion Pharmaceuticals, Inc., Tempus Labs, Inc., and Verge Analytics, Inc..

Market Segmentation & Coverage

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

  • Based on Type, market is studied across Hardware, Services, and Software.
  • Based on Application, market is studied across Disease Diagnosis & Identification, Patient Care, and Research & Drug Invention.
  • Based on End User, market is studied across Accountable Care Organizations & Managed Care Organizations, Patients, Payers, Pharmaceutical & Biotechnology Companies, and Providers.
  • 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 demand to improve the efficiency of drug discovery
      • 5.1.1.2. Increase in need to reduce healthcare costs
      • 5.1.1.3. Increased emphasis on adoption of digital transformation practices to realize cost savings
    • 5.1.2. Restraints
      • 5.1.2.1. Unavailability of skilled professionals
    • 5.1.3. Opportunities
      • 5.1.3.1. Rising focus on developing human-aware artificial intelligence systems
      • 5.1.3.2. Growing importance of precision medicine
    • 5.1.4. Challenges
      • 5.1.4.1. Growing concerns regarding data privacy
  • 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 Medicine Market, by Type

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

7. Artificial Intelligence in Medicine Market, by Application

  • 7.1. Introduction
  • 7.2. Disease Diagnosis & Identification
  • 7.3. Patient Care
  • 7.4. Research & Drug Invention

8. Artificial Intelligence in Medicine Market, by End User

  • 8.1. Introduction
  • 8.2. Accountable Care Organizations & Managed Care Organizations
  • 8.3. Patients
  • 8.4. Payers
  • 8.5. Pharmaceutical & Biotechnology Companies
  • 8.6. Providers

9. Americas Artificial Intelligence in Medicine Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Artificial Intelligence in Medicine Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Medicine Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Atomwise, Inc.
  • 2. BenevolentAI
  • 3. Berg LLC
  • 4. Bioxcel Therapeutics, Inc.
  • 5. Enlitic Inc.
  • 6. Google LLC by Alphabet Inc.
  • 7. InSilico Medicine
  • 8. Intel Corporation
  • 9. International Business Machines Corporation
  • 10. Microsoft Corporation
  • 11. NVIDIA Corporation
  • 12. PathAI, Inc.
  • 13. Recursion Pharmaceuticals, Inc.
  • 14. Tempus Labs, Inc.
  • 15. Verge Analytics, Inc.

LIST OF FIGURES

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

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE DIAGNOSIS & IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATIENT CARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY RESEARCH & DRUG INVENTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ACCOUNTABLE CARE ORGANIZATIONS & MANAGED CARE ORGANIZATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATIENTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PAYERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 22. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 23. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 24. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 25. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 26. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 27. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 28. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 29. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 31. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 32. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 33. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 34. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 35. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 36. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 37. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 38. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 39. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 40. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 41. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 43. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 44. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 45. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 46. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 47. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 48. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 50. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 51. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 53. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 54. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 56. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 57. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 58. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 59. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 60. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 62. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 63. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 66. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 68. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 69. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 71. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 72. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 73. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 74. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 75. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 78. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 80. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 81. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 84. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 85. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 88. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 90. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 91. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 94. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 96. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 97. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 99. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 100. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 101. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 102. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 103. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 105. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 106. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 108. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 109. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 110. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 111. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 112. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 113. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 114. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 115. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 117. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 118. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 120. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 121. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 122. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 123. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 124. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 125. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 126. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 127. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 129. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 130. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 131. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 132. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 133. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 134. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 135. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 136. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 137. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 138. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 139. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 141. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 142. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 143. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 144. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 147. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 148. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 149. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, FPNV POSITIONING MATRIX, 2023