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醫療保健人工智慧市場：按類型、應用和最終用戶分類 - 全球預測 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個工作天內

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2023年醫療保健市場人工智慧的市場規模為44.4億美元，預計2024年將達到58.5億美元，複合年成長率為31.97%，預計到2030年將達到309.7億美元。

醫療保健中的人工智慧 (AI) 是一個快速發展的領域，涉及人工智慧技術的應用，以增強醫療保健服務、診斷和患者照護。該領域對人工智慧的需求凸顯出其在提高準確性、個人化治療計畫、減少人為錯誤和簡化管理流程方面的潛力。應用範圍從疾病管理中的預測分析和人工智慧主導的診斷到機器人手術和虛擬健康助理，為包括醫院、研究機構、診所和生物技術公司在內的多個最終用途部門提供服務。該市場的推動因素包括醫療保健環境中資料量的增加、人工智慧演算法的進步以及醫療保健 IT 投資的增加。主要商業機會包括實施人工智慧進行早期疾病檢測、增強藥物發現流程以及最佳化醫療機構的資源分配。利用這些機會的建議包括投資人工智慧人才、促進科技和醫療保健產業之間的合作，以及優先考慮資料隱私和遵守 HIPAA 等法規結構。

主要市場統計
基準年[2023] 44.4億美元
預計年份 [2024] 58.5億美元
預測年份 [2030] 309.7億美元
複合年成長率（%） 31.97%

阻礙市場成長的挑戰包括資料安全問題、人工智慧整合的高昂初始成本以及缺乏管理人工智慧系統的熟練專業人員。使用人工智慧進行患者管理也存在監管和道德方面的限制，這也導致其採用速度減慢。然而，我們正在為罕見疾病研究開發人工智慧、提高人工智慧模型的可解釋性以建立醫療保健專業人員之間的信任以及利用人工智慧進行個人化醫療等領域進行創新。該市場本質上是動態的，其特點是不斷進步和越來越多專注於利基人工智慧醫療保健解決方案的新興企業。跟上技術進步、培養跨部門夥伴關係以及維持強大的資料管治結構對於公司在這一競爭格局中取得成功至關重要。對精準醫療和即時健康分析的日益關注為進一步創新和市場擴張提供了肥沃的土壤。

市場動態：對醫療保健市場快速發展的人工智慧的關鍵市場洞察

醫療保健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，同時也能幫助企業了解消費行為及其對製造業的影響。

  • 市場促進因素
    • 對更有效的藥物發現的需求不斷增加
    • 降低醫療費用的需求日益增加
    • 越來越重視實施數位轉型以實現成本降低
  • 市場限制因素
    • 缺乏熟練的專業人員
  • 市場機會
    • 越來越關注人類感知人工智慧系統的開發
    • 精準醫療的重要性日益增加
  • 市場挑戰
    • 人們對資料隱私的擔憂日益加劇

波特五力：駕馭醫療保健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。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。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，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解醫療保健市場人工智慧的外部影響

外部宏觀環境因素在塑造醫療保健市場人工智慧的績效動態方面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，並幫助他們做出積極主動的決策。

市場佔有率分析 了解醫療保健人工智慧市場的競爭格局

對醫療保健市場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、分散和整合的趨勢，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 醫療保健市場人工智慧定位矩陣供應商績效評估

FPNV 定位矩陣是評估醫療保健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商務策略和產品滿意度評估供應商，從而做出與其目標相符的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

規劃人工智慧在策略分析和醫療建議市場的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對醫療保健市場中的人工智慧進行策略分析至關重要。透過考慮關鍵資源、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環境中的挑戰，利用新的商機並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其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，評估現有領域的擴張潛力，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：重點在於有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，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、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要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
      • 對更有效藥物發現的需求不斷增加
      • 降低醫療費用的需求日益增加
      • 專注於實施數位轉型實踐，實現成本節約
    • 抑制因素
      • 缺乏熟練的專業人員
    • 機會
      • 識別人類的人工智慧系統的發展正引起越來越多的關注。
      • 精準醫療的重要性日益增加
    • 任務
      • 人們對資料隱私的擔憂日益加劇
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章 醫療保健領域的人工智慧市場：按類型

  • 硬體
  • 服務
  • 軟體

第7章 醫療保健領域的人工智慧市場：依應用分類

  • 疾病的診斷和鑑定
  • 患者照護
  • 研究和藥物發明

第8章醫療保健中的人工智慧市場：按最終用戶分類

  • 責任制醫療組織與管理式醫療組織
  • 病人
  • 付款人
  • 製藥和生物技術公司
  • 提供者

第9章美洲醫療保健人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章 亞太地區醫療保健人工智慧市場

  • 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11章：歐洲、中東和非洲醫療保健領域的人工智慧市場

  • 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12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
  • 戰略分析和建議

公司名單

  • 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