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1800776

2025 年至 2033 年醫療保健市場人工智慧報告（按產品、技術、應用、最終用戶和地區）

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個工作天內

價格

2024年，全球醫療保健領域人工智慧市場規模達78億美元。展望未來， IMARC Group預計到2033年，該市場規模將達到687億美元，2025-2033年期間的複合年成長率（CAGR）為26.04%。個人化醫療需求的不斷成長、遠端患者監控設施的日益普及，以及用於分析醫學影像、檢測異常和有效預測患者預後的機器學習（ML）技術的不斷進步，是推動市場發展的主要因素。

醫療保健市場人工智慧分析：

  • 主要市場促進因素：隨著人工智慧改善醫學研究和藥物開發流程，醫療保健領域對人工智慧的需求不斷成長，這推動了市場的成長。此外，醫療保健行業產生的資料量不斷增加，包括數位電子病歷 (EHR)、醫學影像和基因組資訊，也促進了市場的成長。
  • 主要市場趨勢：機器學習技術在高效分析醫學影像、檢測異常和預測患者預後方面的不斷進步，為市場帶來了良好的前景。此外，市場對提供實證建議和治療指南，並協助醫療專業人員做出準確、明智決策的臨床決策支援系統的需求日益成長，也支撐著市場的成長。
  • 競爭格局：醫療保健市場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.
  • 地理趨勢：根據醫療保健領域人工智慧市場的動態，北美佔據了明顯的市場主導地位。北美是技術創新的中心，機器學習、深度學習和自然語言處理技術的進步推動著醫療保健領域複雜的人工智慧應用的發展。人工智慧診斷工具、預測分析和個人化醫療解決方案等技術處於領先地位。
  • 挑戰與機會：高昂的開發成本以及日益嚴重的資料隱私和安全問題阻礙了市場的成長。然而，人工智慧有潛力透過先進的影像分析、預測分析和個人化治療方案，顯著提高診斷的準確性和治療效果。

醫療保健市場人工智慧趨勢：

慢性病盛行率上升

目前，由久坐不動的生活方式（例如久坐、缺乏運動和不健康的飲食習慣）引起的慢性病發病率正在上升。這些生活方式因素導致了肥胖、糖尿病和心血管疾病等疾病的出現。例如，根據美國衛生與公眾服務部的數據，美國約有1.29億人患有至少一種嚴重的慢性病（例如心臟病、癌症、糖尿病、肥胖或高血壓）。慢性病的增加也推高了住院率，並催生了對結合人工智慧的有效治療方法的需求。醫療保健領域的人工智慧正在改善各種慢性疾病的篩檢和檢測流程。這些因素進一步對醫療保健領域人工智慧市場的預測產生了積極影響。

個人化醫療需求不斷成長

個人化醫療日益成長的需求正在推動市場成長。例如，2023年全球精準醫療市場規模達752億美元。展望未來， IMARC Group預計到2032年，該市場規模將達到1,683億美元，2024-2032年期間的複合年成長率（CAGR）為9.1%。精準醫療旨在根據個人基因、環境和生活方式等因素量身定做治療方案。人工智慧可以分析海量基因資料，並識別出能夠提供更精準、個人化治療建議的模式。預計這些因素將在未來幾年推動人工智慧在醫療保健市場的成長。

遠端病人監控

遠距病人監護使個人能夠在舒適的家中追蹤自身健康狀況，無需頻繁前往醫療機構。這減少了出行、候診室和其他醫療相關不便，從而提高了患者滿意度。它提高了醫療服務的可及性，尤其對於偏遠或醫療服務匱乏地區的患者而言，使患者無論身在何處都能聯繫醫療服務提供者並獲得高品質的照護。例如，2024 年 7 月，總部位於喬治亞州的物聯網 (IoT) 公司 KORE 和澳洲公司 mCare Digital 推出了虛擬病人監護智慧手錶 mCareWatch 241。這款手錶包含一個 SOS 按鈕，允許用戶請求緊急援助，此外還具備通話功能、GPS 追蹤、提醒功能、心率監測器、快速撥號、跌倒偵測、計步器、地理圍欄警報、非運動偵測以及行動應用程式和網頁控制面板，從而提升了醫療保健市場中人工智慧的收入。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 次要來源
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章：執行摘要

第4章：簡介

第5章：全球醫療保健人工智慧市場

  • 市場概覽
  • 市場表現
  • COVID-19的影響
  • 市場預測

第6章：市場區隔：依發行

  • 硬體
  • 軟體
  • 服務

第7章：市場區隔：依技術

  • 機器學習
  • 情境感知計算
  • 自然語言處理
  • 其他

第 8 章：市場區隔：按應用

  • 機器人輔助手術
  • 虛擬護理助理
  • 行政工作流程協助
  • 詐欺偵測
  • 減少劑量誤差
  • 臨床試驗參與者識別符
  • 初步診斷
  • 其他

第9章：市場區隔：依最終用戶

  • 醫療保健提供者
  • 製藥和生物技術公司
  • 患者
  • 其他

第10章：市場細分：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲

第 11 章：SWOT 分析

第 12 章：價值鏈分析

第 13 章：波特五力分析

第 14 章：價格指標

第 15 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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