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市场调查报告书
商品编码
1467572

2024-2032 年医疗保健市场人工智慧报告（按产品、技术、应用、最终用户和地区划分）

Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End-User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 145 Pages | 商品交期: 2-3个工作天内

价格

IMARC Group年，全球人工智慧医疗保健市场规模达到61亿美元。对个人化药物的需求不断增长、远端患者监测设施的日益普及，以及用于分析医学影像、检测异常和有效预测患者结果的机器学习(ML) 技术的不断进步，是推动市场发展的一些主要因素。

医疗保健中的人工智慧（AI）是应用智慧演算法和计算模型来分析复杂的医疗资料、辅助诊断和治疗并支援医疗保健决策过程。它涵盖各种人工智慧技术，包括机器学习 (ML)、自然语言处理 (NLP)、电脑视觉和专家系统。它分析大量患者资料，包括电子健康记录 (EHR)、医学影像和基因组资料，以识别模式并做出预测。它有助于早期疾病检测、个人化治疗计划和临床决策支援。此外，它可以根据资料分析提供有价值的见解和建议，帮助医疗保健专业人员做出基于证据的决策。

目前，医疗保健领域对人工智慧的需求不断增加，因为它改善了医学研究和药物开发流程，正在推动市场的成长。除此之外，医疗保健产业产生的资料量不断增加，包括数位电子病历、医学影像和基因组讯息，也促进了市场的成长。此外，用于有效分析医学影像、检测异常和预测患者结果的机器学习技术的不断进步也带来了良好的市场前景。除此之外，对临床决策支援系统的需求不断增长，这些系统提供基于证据的建议和治疗指南，并帮助医疗保健专业人员做出准确和明智的决策，这正在支持市场的成长。此外，许多国家的管理机构不断实施促进人工智慧在医疗保健领域采用的政策和激励措施，这也促进了市场的成长。

医疗保健市场趋势/驱动因素中的人工智慧：

个人化药物需求不断成长

个人化药物是根据个人的独特特征（例如遗传、生活方式和病史）量身定制的。透过考虑这些因素，与传统的一刀切的方法相比，个人化药物在治疗特定疾病方面具有更有效的潜力。除此之外，个人化药物旨在根据每个患者的特定特征提供有针对性的治疗，从而实现更准确的诊断和量身定制的治疗。此外，人工智慧在个人化药物开发中的整合正在提高製程的准确性。它还有助于识别特定的生物标记物，旨在根据每位患者的特定特征提供有针对性的治疗，从而实现更准确的诊断和量身定制的治疗。

远距患者监护日益普及

远端患者监控使个人能够在舒适的家中追踪他们的健康状况，从而无需频繁前往医疗机构。这限制了旅行、候诊室和其他与医疗保健相关的不便，从而提高了患者满意度。它提高了医疗保健的可及性，特别是对于那些偏远或服务欠缺地区的人来说，使患者能够与医疗保健提供者联繫并获得高品质的护理，无论他们身在何处。透过采用与人工智慧 (AI) 整合的医疗设备进行即时监控，使医疗保健提供者能够及时发现患者健康状况的任何异常或偏差。医疗保健领域的人工智慧透过提高流程的有效性和效率，在远端患者监控中发挥着至关重要的作用。

群众中慢性疾病的发生率增加

目前，由于久坐、体力活动减少和不健康的饮食习惯等不活跃的生活方式引起的慢性病盛行率上升。这些生活方式因素导致肥胖、糖尿病和心血管疾病等疾病的出现。此外，不良的饮食选择，包括过量食用加工食品、含糖饮料和饱和脂肪含量高的食物，也会导致慢性疾病的发生。慢性病的增加也推动了住院率的上升，以及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过程和检测。它还帮助医疗保健专业人员做出正确的决定和准确的诊断。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：医疗保健市场中的全球人工智慧

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：依产品分类

  • 硬体
    • 市场走向
    • 市场预测
  • 软体
    • 市场走向
    • 市场预测
  • 服务
    • 市场走向
    • 市场预测

第 7 章：市场区隔：依技术

  • 机器学习
    • 市场走向
    • 市场预测
  • 上下文感知计算
    • 市场走向
    • 市场预测
  • 自然语言处理
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 8 章：市场区隔：按应用

  • 机器人辅助手术
    • 市场走向
    • 市场预测
  • 虚拟护理助理
    • 市场走向
    • 市场预测
  • 行政工作流程协助
    • 市场走向
    • 市场预测
  • 诈欺识别
    • 市场走向
    • 市场预测
  • 减少剂量错误
    • 市场走向
    • 市场预测
  • 临床试验参与者识别符
    • 市场走向
    • 市场预测
  • 初步诊断
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 9 章：市场区隔：按最终用户

  • 医疗保健机构
    • 市场走向
    • 市场预测
  • 製药和生物技术公司
    • 市场走向
    • 市场预测
  • 患者
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 10 章：市场区隔：按地区

  • 北美洲
    • 美国
      • 市场走向
      • 市场预测
    • 加拿大
      • 市场走向
      • 市场预测
  • 亚太地区
    • 中国
      • 市场走向
      • 市场预测
    • 日本
      • 市场走向
      • 市场预测
    • 印度
      • 市场走向
      • 市场预测
    • 韩国
      • 市场走向
      • 市场预测
    • 澳洲
      • 市场走向
      • 市场预测
    • 印尼
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 欧洲
    • 德国
      • 市场走向
      • 市场预测
    • 法国
      • 市场走向
      • 市场预测
    • 英国
      • 市场走向
      • 市场预测
    • 义大利
      • 市场走向
      • 市场预测
    • 西班牙
      • 市场走向
      • 市场预测
    • 俄罗斯
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 拉丁美洲
    • 巴西
      • 市场走向
      • 市场预测
    • 墨西哥
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 中东和非洲
    • 市场走向
    • 市场细分：按国家/地区
    • 市场预测

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

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: SR112024A2079

The global artificial intelligence in healthcare market size reached US$ 6.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 57.2 Billion by 2032, exhibiting a growth rate (CAGR) of 27.4% during 2024-2032. 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 (AI) in healthcare is the application of intelligent algorithms and computational models to analyze complex medical data, assist in diagnosis and treatment, and support healthcare decision-making processes. It encompasses various AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It analyzes large volumes of patient data, including electronic health records (EHR), medical images, and genomic data, to identify patterns and make predictions. It aids in early disease detection, personalized treatment planning, and clinical decision support. Furthermore, it can assist healthcare professionals in making evidence-based decisions by providing valuable insights and recommendations based on data analysis.

At present, 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. In addition, 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. Additionally, the rising implementation of policies and incentives by governing agencies of numerous countries to promote the adoption of AI in healthcare is bolstering the growth of the market.

Artificial Intelligence in Healthcare Market Trends/Drivers:

Rising demand for personalized medications

Personalized medications are tailored to the unique characteristics of individuals, such as genetics, lifestyle, and medical history. By considering these factors, personalized medications possess the potential to be more effective in treating specific conditions compared to traditional one-size-fits-all approaches. Besides this, personalized medications aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies. In addition, the integration of AI in the development of personalized medication is improving the accuracy of the process. It is also helping in identifying specific biomarkers that aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies.

Increasing popularity of 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. Real-time monitoring by employing medical devices integrated with artificial intelligence (AI) enables healthcare providers to promptly detect any abnormalities or deviations in patient health. AI in healthcare plays a crucial role in remote patient monitoring by enhancing the effectiveness and efficiency of the process.

Increasing occurrence of chronic disorders among the masses

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. In addition, poor dietary choices involving excessive consumption of processed foods, sugary drinks, and foods high in saturated fats also contribute to the development of chronic ailments. 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. It is also assisting healthcare professionals to make the correct decision and accurate diagnoses.

Artificial Intelligence in Healthcare Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence in healthcare market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on offering, technology, application, and end-user.

Breakup by Offering:

Hardware

Software

Services

Software dominates the market

The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware, software, and services. According to the report, software represented the largest segment.

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

A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, context aware computing, natural language processing, and others. According to the report, machine learning accounted for the largest market share.

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 detailed breakup and analysis of the market based on the application have also been provided in the report. This includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to the report, clinical trial participant identifier accounted for the largest market share.

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.

Robot-assisted surgery, also known as robotic surgery, refers to a surgical technique that utilizes robotic systems to aid surgeons in performing complex procedures with enhanced precision, dexterity, and control. It involves the use of robotic arms, specialized instruments, and a computer console operated by a surgeon.

Breakup by End-User:

Healthcare Providers

Pharmaceutical and Biotechnology Companies

Patients

Others

Pharmaceutical and biotechnology companies hold the maximum share in the market

A detailed breakup and analysis of the market based on the end-user have also been provided in the report. This includes healthcare providers, pharmaceutical and biotechnology companies, patients, and others. According to the report, pharmaceutical and biotechnology companies accounted for the largest market share.

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.

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.

Asia Pacific is estimated to expand further in this domain due to the rising construction of various hospitals, clinics, and nursing homes to provide quality healthcare services. Apart from this, increasing healthcare expenditures among the masses is propelling the market growth.

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.

Recent Developments:

In March 2023, Medtronic plc announced a strategic collaboration with Cosmo Pharmaceutical and Nvidia Corporation to deliver the GI Genius(TM) intelligent endoscopy module - the first FDA-cleared, AI-assisted colonoscopy tool to help physicians detect polyps that can lead to colorectal cancer.

In March 2023, Nvidia Corporation announced the launch of an expanded set of generative AI cloud services for customizing AI foundation models to accelerate the production of novel proteins and therapeutics.

In November 2022, Nuance Communications Inc. announced a partnership with Nvidia Corporation for bringing medical imaging AI models directly into clinical settings and improving patient care solutions.

Key Questions Answered in This Report

  • 1. What was the size of the global artificial intelligence in healthcare market in 2023?
  • 2. What is the expected growth rate of the global artificial intelligence in healthcare market during 2024-2032?
  • 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 US$), 2018-2023
  • Figure 3: Global: Artificial Intelligence in Healthcare Market: Breakup by Offering (in %), 2023
  • Figure 4: Global: Artificial Intelligence in Healthcare Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Artificial Intelligence in Healthcare Market: Breakup by Application (in %), 2023
  • Figure 6: Global: Artificial Intelligence in Healthcare Market: Breakup by End-User (in %), 2023
  • Figure 7: Global: Artificial Intelligence in Healthcare Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 9: Global: Artificial Intelligence in Healthcare (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Artificial Intelligence in Healthcare (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Artificial Intelligence in Healthcare (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Artificial Intelligence in Healthcare (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Artificial Intelligence in Healthcare (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Artificial Intelligence in Healthcare (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Artificial Intelligence in Healthcare (Machine Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Artificial Intelligence in Healthcare (Machine Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Artificial Intelligence in Healthcare (Context Aware Computing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Artificial Intelligence in Healthcare (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Artificial Intelligence in Healthcare (Robot-Assisted Surgery) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Artificial Intelligence in Healthcare (Virtual Nursing Assistant) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Artificial Intelligence in Healthcare (Administrative Workflow Assistance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Artificial Intelligence in Healthcare (Fraud Detection) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Artificial Intelligence in Healthcare (Dosage Error Reduction) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Artificial Intelligence in Healthcare (Clinical Trial Participant Identifier) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Artificial Intelligence in Healthcare (Preliminary Diagnosis) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Global: Artificial Intelligence in Healthcare (Healthcare Providers) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Global: Artificial Intelligence in Healthcare (Pharmaceutical and Biotechnology Companies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Global: Artificial Intelligence in Healthcare (Patients) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Global: Artificial Intelligence in Healthcare (Patients) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Global: Artificial Intelligence in Healthcare (Others) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Global: Artificial Intelligence in Healthcare (Others) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: North America: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: North America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: United States: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: United States: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Canada: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Canada: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Asia Pacific: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Asia Pacific: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: China: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: China: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Japan: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Japan: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: India: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: India: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: South Korea: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: South Korea: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Australia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Australia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Indonesia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Indonesia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Europe: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Europe: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Germany: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Germany: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: France: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: France: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: United Kingdom: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: United Kingdom: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Italy: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Italy: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Spain: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Spain: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Russia: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Russia: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Latin America: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Latin America: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 87: Brazil: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 88: Brazil: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 89: Mexico: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 90: Mexico: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 91: Others: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 92: Others: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 93: Middle East and Africa: Artificial Intelligence in Healthcare Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 94: Middle East and Africa: Artificial Intelligence in Healthcare Market: Breakup by Country (in %), 2023
  • Figure 95: Middle East and Africa: Artificial Intelligence in Healthcare Market Forecast: Sales Value (in Million US$), 2024-2032
  • 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, 2023 and 2032
  • Table 2: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Offering (in Million US$), 2024-2032
  • Table 3: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 4: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 5: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by End-User (in Million US$), 2024-2032
  • Table 6: Global: Artificial Intelligence in Healthcare Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Artificial Intelligence in Healthcare Market Structure
  • Table 8: Global: Artificial Intelligence in Healthcare Market: Key Players