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市场调查报告书
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1800776

2025 年至 2033 年医疗保健市场人工智慧报告（按产品、技术、应用、最终用户和地区）

Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End-User, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 140 Pages | 商品交期: 2-3个工作天内

价格

2024年，全球医疗保健领域人工智慧市场规模达78亿美元。展望未来， IMARC Group预计到2033年，该市场规模将达到687亿美元，2025-2033年期间的复合年增长率（CAGR）为26.04%。个人化医疗需求的不断增长、远端患者监控设施的日益普及，以及用于分析医学影像、检测异常和有效预测患者预后的机器学习（ML）技术的不断进步，是推动市场发展的主要因素。

医疗保健市场人工智慧分析：

  • 主要市场驱动因素：随着人工智慧改善医学研究和药物开发流程，医疗保健领域对人工智慧的需求不断增长，这推动了市场的成长。此外，医疗保健行业产生的资料量不断增加，包括数位电子病历 (EHR)、医学影像和基因组信息，也促进了市场的成长。
  • 主要市场趋势：机器学习技术在高效分析医学影像、检测异常和预测患者预后方面的不断进步，为市场带来了良好的前景。此外，市场对提供实证建议和治疗指南，并协助医疗专业人员做出准确、明智决策的临床决策支援系统的需求日益增长，也支撑着市场的成长。
  • 竞争格局：医疗保健市场中的一些知名人工智慧公司包括 Amazon Web Services Inc.、Cloudmedx Inc.、DeepMind、Enlitic Inc.、General Vision Inc.、Google Inc.、International Business Machines、iCarbonX、Intel Corporation、Medtronic、Micron Technology Inc.、Microsoft Corporation、Next It Corporation、Nuance.
  • 地理趋势：根据医疗保健领域人工智慧市场的动态，北美占据了明显的市场主导地位。北美是技术创新的中心，机器学习、深度学习和自然语言处理技术的进步推动着医疗保健领域复杂的人工智慧应用的发展。人工智慧诊断工具、预测分析和个人化医疗解决方案等技术处于领先地位。
  • 挑战与机会：高昂的开发成本以及日益严重的资料隐私和安全问题阻碍了市场的成长。然而，人工智慧有潜力透过先进的影像分析、预测分析和个人化治疗方案，显着提高诊断的准确性和治疗效果。

医疗保健市场人工智慧趋势：

慢性病盛行率上升

目前，由久坐不动的生活方式（例如久坐、缺乏运动和不健康的饮食习惯）引起的慢性病发病率正在上升。这些生活方式因素导致了肥胖、糖尿病和心血管疾病等疾病的出现。例如，根据美国卫生与公众服务部的数据，美国约有1.29亿人患有至少一种严重的慢性病（例如心臟病、癌症、糖尿病、肥胖或高血压）。慢性病的增加也推高了住院率，并催生了对结合人工智慧的有效治疗方法的需求。医疗保健领域的人工智慧正在改善各种慢性疾病的筛检和检测流程。这些因素进一步对医疗保健领域人工智慧市场的预测产生了积极影响。

个人化医疗需求不断成长

个人化医疗日益增长的需求正在推动市场成长。例如，2023年全球精准医疗市场规模达752亿美元。展望未来， IMARC Group预计到2032年，该市场规模将达到1,683亿美元，2024-2032年期间的复合年增长率（CAGR）为9.1%。精准医疗旨在根据个人基因、环境和生活方式等因素量身定制治疗方案。人工智慧可以分析海量基因资料，并识别出能够提供更精准、个人化治疗建议的模式。预计这些因素将在未来几年推动人工智慧在医疗保健市场的成长。

远端病人监控

远距病人监护使个人能够在舒适的家中追踪自身健康状况，无需频繁前往医疗机构。这减少了出行、候诊室和其他医疗相关不便，从而提高了患者满意度。它提高了医疗服务的可及性，尤其对于偏远或医疗服务匮乏地区的患者而言，使患者无论身在何处都能联繫医疗服务提供者并获得高品质的照护。例如，2024 年 7 月，总部位于乔治亚州的物联网 (IoT) 公司 KORE 和澳洲公司 mCare Digital 推出了虚拟病人监护智慧手錶 mCareWatch 241。这款手錶包含一个 SOS 按钮，允许用户请求紧急援助，此外还具备通话功能、GPS 追踪、提醒功能、心率监测器、快速拨号、跌倒侦测、计步器、地理围栏警报、非运动侦测以及行动应用程式和网页控制面板，从而提升了医疗保健市场中人工智慧的收入。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

第五章：全球医疗保健人工智慧市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场区隔：依发行

  • 硬体
  • 软体
  • 服务

第七章：市场区隔：依技术

  • 机器学习
  • 情境感知计算
  • 自然语言处理
  • 其他的

第 8 章：市场区隔：按应用

  • 机器人辅助手术
  • 虚拟护理助理
  • 行政工作流程协助
  • 诈欺侦测
  • 减少剂量误差
  • 临床试验参与者识别符
  • 初步诊断
  • 其他的

第九章：市场区隔：依最终用户

  • 医疗保健提供者
  • 製药和生物技术公司
  • 患者
  • 其他的

第十章：市场细分：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲

第 11 章：SWOT 分析

第 12 章：价值链分析

第 13 章：波特五力分析

第 14 章：价格指标

第 15 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon Web Services Inc.
    • Cloudmedx Inc.
    • DeepMind
    • Enlitic Inc.
    • General Vision Inc.
    • Google Inc.
    • International Business Machines
    • iCarbonX
    • Intel Corporation
    • Medtronic
    • Micron Technology Inc.
    • Microsoft Corporation
    • Next It Corporation
    • Nuance Communications Inc.
    • Nvidia Corporation
    • Siemens Healthcare
    • Welltok Inc.
Product Code: SR112025A2079

The global artificial intelligence in healthcare market size reached USD 7.8 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 68.7 Billion by 2033, exhibiting a growth rate (CAGR) of 26.04% during 2025-2033. The growing demand for personalized medications, rising popularity of remote patient monitoring facilities, and increasing advancements in machine learning (ML) techniques for analyzing medical images, detecting anomalies, and predicting patient outcomes efficiently are some of the major factors propelling the market.

Artificial Intelligence in Healthcare Market Analysis:

  • Major Market Drivers: The increasing demand for AI in healthcare as it improves medical research and drug development processes is impelling the growth of the market. Besides this, the rising amount of data generated in the healthcare industry, including digital EHR, medical images, and genomic information, is contributing to the growth of the market.
  • Key Market Trends: The growing advancements in ML techniques for efficiently analyzing medical images, detecting anomalies, and predicting patient outcomes are offering a favorable market outlook. Apart from this, the increasing demand for clinical decision support systems that offer evidence-based recommendations and treatment guidelines and assist healthcare professionals in making accurate and informed decisions is supporting the growth of the market.
  • Competitive Landscape: Some of the prominent artificial intelligence in healthcare market companies include Amazon Web Services Inc., Cloudmedx Inc., DeepMind, Enlitic Inc., General Vision Inc., Google Inc., International Business Machines, iCarbonX, Intel Corporation, Medtronic, Micron Technology Inc., Microsoft Corporation, Next It Corporation, Nuance Communications Inc., Nvidia Corporation, Siemens Healthcare, and Welltok Inc., among many others.
  • Geographical Trends: According to the artificial intelligence in healthcare market dynamics, North America exhibits a clear dominance in the market. North America is a hub for technological innovation, with advancements in machine learning, deep learning, and natural language processing driving the development of sophisticated AI applications in healthcare. Technologies such as AI-powered diagnostic tools, predictive analytics, and personalized medicine solutions are at the forefront.
  • Challenges and Opportunities: High development costs and the rising data privacy and security issues are hampering the market's growth. However, AI has the potential to significantly improve diagnostic accuracy and treatment outcomes through advanced image analysis, predictive analytics, and personalized treatment plans.

Artificial Intelligence in Healthcare Market Trends:

Rising Prevalence of Chronic Illnesses

Presently, there is a rise in the prevalence of chronic illnesses caused by inactive lifestyles, such as prolonged sitting, decreased physical activity, and unhealthy eating habits. These lifestyle factors contribute to the emergence of conditions like obesity, diabetes, and cardiovascular diseases. For instance, according to the U.S. Department of Health and Human Services, around 129 million people in the United States have at least one significant chronic disease (for example, heart disease, cancer, diabetes, obesity, or hypertension). The increase in chronic diseases is also driving hospitalization rates and the demand for effective treatment methods by incorporating AI. AI in healthcare is improving the screening process and detection of various chronic disorders. These factors further positively influence artificial intelligence in healthcare market forecast.

Growing Demand for Personalized Medicines

The growing demand for personalized medicine is driving the market's growth. For instance, the global precision medicine market size reached US$ 75.2 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 168.3 Billion by 2032, exhibiting a growth rate (CAGR) of 9.1% during 2024-2032. Precision medicine aims to tailor treatments based on individual genetic, environmental, and lifestyle factors. AI can analyze vast amounts of genetic data and identify patterns that lead to more accurate and personalized treatment recommendations. These factors are expected to propel artificial intelligence in healthcare market growth in the coming years.

Remote Patient Monitoring

Remote patient monitoring enables individuals to track their health from the comfort of their own homes, eliminating the need for frequent trips to healthcare facilities. This limits the inconvenience of travel, waiting rooms, and other healthcare-related inconveniences, leading to improved patient satisfaction. It enhances healthcare accessibility, particularly for those in remote or underserved areas, allowing patients to connect with healthcare providers and receive high-quality care regardless of their location. For instance, in July 2024, KORE, a Georgia-based Internet of Things (IoT) firm, and Australian company mCare Digital unveiled the mCareWatch 241, a virtual patient monitoring smartwatch. The watch includes an SOS button that allows users to request emergency assistance, call capabilities, GPS tracking, reminders, a heart rate monitor, speed dialing, fall detection, a pedometer, a geo-fence alarm, non-movement detection, and a mobile app and web dashboard, and thereby boosting the artificial intelligence in healthcare market revenue.

Global Artificial Intelligence in Healthcare Industry Segmentation:

Breakup by Offering:

  • Hardware
  • Software
  • Services

Software dominates the market

According to the artificial intelligence in healthcare market outlook, software associated with AI in healthcare comprises electronic health record (EHR) systems, imaging analysis software, clinical decision support systems (CDSS), and natural language processing (NPL) tools. They digitally store and manage patient health records and analyze and extract valuable insights from the vast amount of patient data, facilitating decision-making, personalized treatment planning, and clinical research. They utilize computer vision and machine learning (ML) algorithms to assist radiologists in detecting abnormalities, making diagnoses, and providing quantitative measurements. They can extract relevant information, classify and categorize text, and enable voice-to-text transcription. They also enable continuous monitoring of vital signs, activity levels, and other health parameters to predict health deterioration and alert healthcare providers in real-time.

Breakup by Technology:

  • Machine Learning
  • Context Aware Computing
  • Natural Language Processing
  • Others

Machine learning holds the largest share in the market

Machine learning (ML) algorithms are employed to analyze patient data, such as electronic health records (EHR), medical imaging, and genetic information, to assist in disease diagnosis and prognosis. These algorithms identify patterns, classify diseases, and predict patient outcomes, aiding healthcare professionals in making accurate and timely decisions. They are capable of detecting abnormalities, segmenting organs and tumors, and assisting radiologists in interpreting images. ML-based image analysis improves diagnostic accuracy, reduces interpretation time, and enhances early detection of diseases. ML models also predict patient outcomes by analyzing large datasets, including clinical records, genomic data, and lifestyle factors. Furthermore, they can analyze EHR to uncover valuable insights, such as disease trends, treatment patterns, and population health indicators.

Breakup by Application:

  • Robot-Assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

Clinical trial participant identifier holds the biggest share in the market

A clinical trial participant identifier is assigned to individuals enrolled in a clinical trial to protect their privacy and confidentiality. It is used instead of personal identifying information (such as name or social security number) to ensure anonymity and protect the identity of participants. It helps ensure data integrity and security in clinical trials. By using identifiers instead of personal information, the potential for data errors or inconsistencies due to human error or data entry mistakes is reduced. It also helps protect sensitive information from being inadvertently disclosed or misused.

Breakup by End-User:

  • Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Patients
  • Others

Pharmaceutical and biotechnology companies hold the maximum share in the market

Pharmaceutical and biotechnology companies are embracing the use of AI due to its transformative potential across various aspects of their operations. AI offers unprecedented opportunities to revolutionize drug discovery and development processes by leveraging data-driven approaches and computational modeling. Through AI algorithms, these companies can analyze vast amounts of biological and chemical data to identify potential drug targets, predict drug activity, and optimize drug design, significantly speeding up the traditionally time-consuming and expensive drug development pipeline. Additionally, AI enables precision medicine by leveraging patient data, genomics, and clinical records to develop personalized treatment approaches. AI algorithms can identify biomarkers or genetic variations associated with disease susceptibility and treatment response, allowing for targeted therapies and patient subgroup identification.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America exhibits a clear dominance, accounting for the largest artificial intelligence in healthcare market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America held the biggest market share since the region has an efficient medical infrastructure. Moreover, the rising occurrence of various chronic disorders among the masses is contributing to the growth of the market. For instance, in 2018, more than half (51.8%) of adults had at least one of ten diagnosed chronic conditions (arthritis, cancer, chronic obstructive pulmonary disease, coronary heart disease, current asthma, diabetes, hepatitis, hypertension, stroke, and weak or failing kidneys), while 27.2% of U.S. adults had multiple chronic conditions. Another contributing aspect is the growing adoption of robust technology infrastructure, including advanced computing capabilities, cloud computing resources, and data storage capacities in the healthcare sector.

Competitive Landscape:

Key market players are investing in research operations to improve their AI capabilities. They are also allocating significant resources to develop new algorithms, models, and platforms that can enhance the accuracy, efficiency, and effectiveness of AI applications in healthcare. Top companies are expanding and diversifying their product portfolios to meet evolving market needs. They are also developing and launching new AI-powered solutions and platforms for various healthcare domains, including diagnostic imaging, clinical decision support, remote patient monitoring, genomics, and drug discovery. Leading companies are focusing on strategic partnerships and collaborations to enhance their market reach, access new customer segments, and leverage complementary technologies.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • Amazon Web Services Inc.
  • Cloudmedx Inc.
  • DeepMind
  • Enlitic Inc.
  • General Vision Inc.
  • Google Inc.
  • International Business Machines
  • iCarbonX
  • Intel Corporation
  • Medtronic
  • Micron Technology Inc.
  • Microsoft Corporation
  • Next It Corporation
  • Nuance Communications Inc.
  • Nvidia Corporation
  • Siemens Healthcare
  • Welltok Inc.

Key Questions Answered in This Report

  • 1.What was the size of the global artificial intelligence in healthcare market in 2024?
  • 2.What is the expected growth rate of the global artificial intelligence in healthcare market during 2025-2033?
  • 3.What has been the impact of COVID-19 on the global artificial intelligence in healthcare market?
  • 4.What are the key factors driving the global artificial intelligence in healthcare market?
  • 5.What is the breakup of the global artificial intelligence in healthcare market based on the offering?
  • 6.What is the breakup of the global artificial intelligence in healthcare market based on the technology?
  • 7.What is the breakup of the global artificial intelligence in healthcare market based on the application?
  • 8.What is the breakup of the global artificial intelligence in healthcare market based on the end-user?
  • 9.What are the key regions in the global artificial intelligence in healthcare market?
  • 10.Who are the key players/companies in the global artificial intelligence in healthcare market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence in Healthcare Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 Machine Learning
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Context Aware Computing
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Natural Language Processing
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Others
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Robot-Assisted Surgery
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Virtual Nursing Assistant
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Administrative Workflow Assistance
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Fraud Detection
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Dosage Error Reduction
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Clinical Trial Participant Identifier
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Preliminary Diagnosis
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Others
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast

9 Market Breakup by End-User

  • 9.1 Healthcare Providers
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Pharmaceutical and Biotechnology Companies
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Patients
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Others
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Indicators

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Amazon Web Services Inc.
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
    • 15.3.2 Cloudmedx Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 DeepMind
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
    • 15.3.4 Enlitic Inc.
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 General Vision Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
    • 15.3.6 Google Inc.
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 SWOT Analysis
    • 15.3.7 International Business Machines
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 iCarbonX
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
    • 15.3.9 Intel Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Medtronic
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Micron Technology Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 Financials
      • 15.3.11.4 SWOT Analysis
    • 15.3.12 Microsoft Corporation
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 Next It Corporation
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
    • 15.3.14 Nuance Communications Inc.
      • 15.3.14.1 Company Overview
      • 15.3.14.2 Product Portfolio
      • 15.3.14.3 Financials
      • 15.3.14.4 SWOT Analysis
    • 15.3.15 Nvidia Corporation
      • 15.3.15.1 Company Overview
      • 15.3.15.2 Product Portfolio
      • 15.3.15.3 Financials
      • 15.3.15.4 SWOT Analysis
    • 15.3.16 Siemens Healthcare
      • 15.3.16.1 Company Overview
      • 15.3.16.2 Product Portfolio
      • 15.3.16.3 Financials
      • 15.3.16.4 SWOT Analysis
    • 15.3.17 Welltok Inc.
      • 15.3.17.1 Company Overview
      • 15.3.17.2 Product Portfolio

List of Figures

  • Figure 1: Global: Artificial Intelligence in Healthcare Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence in Healthcare Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Artificial Intelligence in Healthcare Market: Breakup by Offering (in %), 2024
  • Figure 4: Global: Artificial Intelligence in Healthcare Market: Breakup by Technology (in %), 2024
  • Figure 5: Global: Artificial Intelligence in Healthcare Market: Breakup by Application (in %), 2024
  • Figure 6: Global: Artificial Intelligence in Healthcare Market: Breakup by End-User (in %), 2024
  • Figure 7: Global: Artificial Intelligence in Healthcare Market: Breakup by Region (in %), 2024
  • Figure 8: Global: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 9: Global: Artificial Intelligence in Healthcare (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 10: Global: Artificial Intelligence in Healthcare (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 11: Global: Artificial Intelligence in Healthcare (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Artificial Intelligence in Healthcare (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Artificial Intelligence in Healthcare (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Artificial Intelligence in Healthcare (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Artificial Intelligence in Healthcare (Machine Learning) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Artificial Intelligence in Healthcare (Machine Learning) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: Global: Artificial Intelligence in Healthcare (Patients) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: Global: Artificial Intelligence in Healthcare (Patients) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: North America: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: North America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: United States: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: United States: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: Canada: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: Canada: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: Asia Pacific: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: Asia Pacific: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: China: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: China: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: Japan: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: Japan: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: India: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: India: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: South Korea: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: South Korea: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: Australia: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: Australia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: Indonesia: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: Indonesia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: Europe: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: Europe: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: Germany: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: Germany: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: France: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: France: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: United Kingdom: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: United Kingdom: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Italy: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: Italy: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Spain: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 80: Spain: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 81: Russia: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 82: Russia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 83: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 84: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 85: Latin America: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 86: Latin America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 87: Brazil: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 88: Brazil: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 89: Mexico: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 90: Mexico: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 91: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 92: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 93: Middle East and Africa: Artificial Intelligence in Healthcare Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 94: Middle East and Africa: Artificial Intelligence in Healthcare Market: Breakup by Country (in %), 2024
  • Figure 95: Middle East and Africa: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 96: Global: Artificial Intelligence in Healthcare Industry: SWOT Analysis
  • Figure 97: Global: Artificial Intelligence in Healthcare Industry: Value Chain Analysis
  • Figure 98: Global: Artificial Intelligence in Healthcare Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence in Healthcare Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Offering (in Million USD), 2025-2033
  • Table 3: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Technology (in Million USD), 2025-2033
  • Table 4: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 5: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by End-User (in Million USD), 2025-2033
  • Table 6: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 7: Global: Artificial Intelligence in Healthcare Market Structure
  • Table 8: Global: Artificial Intelligence in Healthcare Market: Key Players