查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
2030 年医疗保健市场人工智慧 (AI) 预测：按产品、技术、用途、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1358973

2030 年医疗保健市场人工智慧 (AI) 预测：按产品、技术、用途、最终用户和地区进行的全球分析

Artificial Intelligence in Healthcare Market Forecasts to 2030 - Global Analysis By Offering, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2023年全球人工智慧（AI）医疗保健市场规模将达到224.2亿美元，预测期内年复合成长率为45.6%，预计到2030年将达到3,110.4亿美元。

人工智慧 (AI) 涉及使用演算法和软体来分析复杂的医疗资料。人工智慧被定义为将基于人类智慧的各种功能，如推理、学习和解决问题的能力，应用于生物学、电脑科学、数学、语言学、心理学和工程学等各个领域的智慧系统。人工智慧在领域的应用正在提高医学研发的效率、创造力和成本效益。

根据 2020 年 NCBI 的一项研究，基于人工智慧的演算法在由医疗专业人员诊断为阴性的 25 名患者资料正确识别了 68% 的 COVID-19 阳性病例。

政府和私部门投资

随着製药和医疗技术公司增加人工智慧（AI）支出以发展业务，该行业预计将迅速扩张。普华永道表示，人工智慧 (AI) 有效、快速，并且以显着更低的成本执行营运任务。此外，人工智慧将协助医疗保健专业人员早期发现和诊断所有疾病。因此，该行业的大多数医疗保健提供者都在增加投资。

成本上升、资料外洩和复杂性增加

儘管人工智慧（AI）在医疗保健行业的应用较多，但其普及仍然较低。因为医疗保健提供者必须处理几个复杂的问题。人工智慧的整合可能会引入错误，并造成患者的诊断和所提供的药物之间的脱节。资料隐私问题也是领域领域人工智慧的一个障碍。许多国家都有专门的法律来保护病患的健康资讯。然而，违反这项法规可能会产生财务和法律后果。由于不道德地收集敏感资料等问题，病患资料安全风险也随之增加。因此，对病患安全和不道德资料收集的担忧日益增加，阻碍了整体市场的扩张。

开发大型且复杂的医疗资料

大型复杂资料，也称为巨量资料，包括点击流、网路和社交媒体互动、心电图 (ECG)、X 射线和脉搏血氧计等医疗设备的读数、医疗申请等申请记录，用于医疗保健领域来识别从电子健康记录(EMR)、药物、生物辨识资料等收集的资讯。在过去的年度中，随着医疗保健专业人员采用电子健康记录（EHR）、数位化检查幻灯片和高解析度放射影像，巨量资料收集和分析工具的发展变得更加复杂和广泛。 。

AI人才短缺与电子医疗软体法规标准不完善

人工智慧是一个复杂的系统，企业需要具有一定技能的人员来设计、管理和部署人工智慧系统。例如，使用人工智慧系统的个人应该熟悉深度学习、认知运算、机器学习和机器智慧等技术。然而，复製人脑行为并将人工智慧解决方案整合到现有系统中是一项艰鉅的任务，需要大量的资料处理。即使很小的错误也会导致系统故障或对预期结果产生负面影响。

新冠肺炎 (COVID-19) 影响：

在分析期间，COVID-19的影响预计将显着推动医疗保健市场的人工智慧（AI）。 AI 透过监测病毒传播来诊断 COVID-19 的能力显着增加了对基于 AI 的工具和解决方案的需求。此外，对用于分析人群流行病风险评估和捕获即时资料的电子健康记录（EHR）系统的需求不断增长，也促进了市场的扩张。

预计软体领域在预测期内将是最大的产业

在预测期内，软体领域占据了最大的市场份额，这主要是由于人工智慧驱动的软体解决方案在医疗机构、医疗保健提供者、消费者和付款人之间的快速普及。软体领域的扩张是由医疗保健产业对基于人工智慧的软体解决方案的使用增加投资所推动的。此外，这种增长与人工智慧和基于机器学习的技术在世界各地各种医疗保健应用中的越来越多的使用有关。

製药和生物技术公司领域预计在预测期内年复合成长率最高

预计製药和生物技术公司部门在预测期内将呈现良好的成长。在医疗保健领域，人工智慧（AI）被用来支援基因序列测定工作以及预测药物的有效性和安全性。该市场领域的扩张是由不同市场参与企业之间不断增加的合作伙伴关係所推动的。例如，默克公司和内华达州杨森製药公司于2020年7月共同开发了人工智慧诊断工具。该技术有助于提高对被忽视的热带疾病 (NTD)、血吸虫病和土源性蠕虫病 (STH) 的检测。

占比最大的地区：

由于 IT 基础设施的快速发展和专门从事人工智慧技术的创业项目，亚太地区预计将在整个外推期内占据最大份额。采用率的推动因素是私人投资者、创业投资和非营利组织为改善治疗结果、资料分析、安全性和降低成本而增加的投资。此外，推动亚太市场成长的主要原因之一是支持和促进医疗机构和医疗服务提供者快速采用基于人工智慧的技术的有利政府政策。

复合年复合成长率最高的地区：

由于对尖端数位技术的需求不断增长，预计北美在预测期内将实现盈利增长。北美拥有强大且发达的医疗保健、IT 和通讯基础设施，因此医疗保健领域的人工智慧 (AI) 市场正在不断扩大。该地区的医疗保健产业也得到鼓励使用尖端数位技术的政府法规的支持。北美拥有庞大的患者群。据估计，超过一半的美国患有一种或多种慢性病。因此，该地区的住院患者人数不断增加。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球医疗保健市场人工智慧（AI）：依产品分类

  • 硬体
    • 记忆
    • 通讯网路
    • 处理器
  • 软体
    • 人工智慧解决方案
    • 人工智慧平台
  • 服务

第6章全球医疗保健人工智慧 (AI) 市场：按技术分类

  • 自然语言处理
    • 图案和影像识别
    • 分类与分类
    • 语音分析
    • 其他的
  • 机器学习
    • 强化学习
    • 监督
    • 深度学习
    • 其他的
  • 电脑视觉
  • 其他的

第7章全球医疗保健市场人工智慧（AI）：按应用分类

  • 网路安全
  • 医疗保健支援机器人
  • 急诊室及手术室
  • 生活方式管理和监控
  • 药物研发
  • 医疗图像与诊断
  • 其他的

第8章全球医疗保健市场人工智慧 (AI)：按最终用户分类

  • 病人
  • 製药和生物技术公司
  • 医疗保健付款人
  • 其他的

第9章全球医疗保健市场人工智慧（AI）：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第10章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第11章公司简介

  • Alphabet Inc
  • Butterfly Network, Inc
  • Cyrcadia Health Inc
  • DeepMind Technologies Limited
  • Enlitic Inc
  • General Vision
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Next IT Corp.
  • Nuance Communications, Inc
  • NVIDIA Corporation
  • Sophia Genetics
  • Welltok Inc.
  • Zebra Medical Vision Ltd
Product Code: SMRC23941

According to Stratistics MRC, the Global Artificial Intelligence in Healthcare Market is accounted for $20.87 billion in 2023 and is expected to reach $175.00 billion by 2030 growing at a CAGR of 35.5% during the forecast period. Artificial intelligence (AI) is defined as the study of intelligent agents, i.e., any agent or tool that has the ability to comprehend and grasp its environment and, as a result, to determine the appropriate course of action to increase its chances of succeeding. AI also refers to situations in which machines can mimic the learning and problem-solving processes of the human brain.

According to the statistics published by the CI security, data breaches in the healthcare industry increased by around 36.0% in the second half of 2020. This revealed that around 21.3 million patient records were hampered.

Market Dynamics:

Driver:

Growing healthcare data

Electronic health records, medical equipment, wearable sensors, and genomics are just a few of the sources of the data explosion in the healthcare sector. This flood of data contains a wealth of insights that AI is just beginning to unlock. Moreover, AI algorithms can make predictions, find hidden patterns in this data, and assist healthcare professionals in making decisions that are supported by the best available evidence.

Restraint:

Data security and privacy issues

Data security and privacy are of utmost importance in the healthcare industry because of the sensitive patient data that is handled there. Additionally, an increased risk of data breaches, which could potentially harm patients and have legal repercussions, exists as AI systems become more dependent on access to large volumes of patient data. It's difficult to balance providing AI with access to data while maintaining strict data security protocols.

Opportunity:

Remote monitoring and telemedicine

AI facilitates the growth of telemedicine and remote patient monitoring, which have become more popular, particularly during the COVID-19 pandemic. Furthermore, AI-powered virtual healthcare platforms make it possible to manage chronic diseases, monitor symptoms, and conduct remote consultations, ensuring continuity and accessibility of care, especially for people living in rural or remote areas.

Threat:

Threats to data privacy and security

Healthcare organizations are attractive targets for cyber attacks as they gather enormous amounts of private patient data. Patient confidentiality may be violated, patient records may be compromised, and identity theft may occur as a result of data breaches and security breaches. However, to lessen these risks, it is essential to maintain strong data security procedures, encryption, and regulatory compliance.

COVID-19 Impact:

The COVID-19 pandemic has significantly altered healthcare priorities and accelerated the adoption of technology, including artificial intelligence. Increased investments in AI-driven solutions for telemedicine, vaccine development, drug discovery, and pandemic response followed the pandemic's emphasis on the value of effective healthcare delivery, remote monitoring, and quick diagnostics. Moreover, COVID-19 highlighted the potential of AI to improve healthcare resilience, data-driven decision-making, and the development of creative solutions for upcoming healthcare challenges, even though it puts a strain on healthcare resources and supply chains.

The Services segment is expected to be the largest during the forecast period

During the forecast period, it is anticipated that the services segment will hold the largest share. For the successful integration and operation of healthcare IT systems, such as electronic health records (EHRs), telemedicine platforms, and artificial intelligence applications, a wide range of services, including consulting, implementation, maintenance, and support services, are required. Additionally, services are essential for assisting healthcare providers to make the most of their technology investments, ensure regulatory compliance, and deliver high-quality patient care in an environment where healthcare is becoming more and more digitized.

The Precision Medicine segment is expected to have the highest CAGR during the forecast period

The artificial intelligence market in healthcare is seeing the highest CAGR in the precision medicine segment. Customizing medical care and interventions for each patient based on genetic make-up, way of life and unique health characteristics is known as precision medicine. The development of personalized treatment plans, advances in genomics, and the growing accessibility of patient-specific data have all contributed to the growing popularity of this strategy. Moreover, precision medicine is a focus for research, investment, and innovation in the healthcare sector because it holds the promise of more effective therapies, diminished side effects, and improved patient outcomes.

Region with largest share:

The artificial intelligence market in healthcare is anticipated to hold the largest share in the North American region, particularly the United States. Large patient populations, a thriving pharmaceutical industry, significant investments in medical research and technology, and a well-developed healthcare infrastructure are just a few examples of the factors that contribute to this dominance. Additionally, the area has also led the way in implementing healthcare IT solutions, such as telemedicine and electronic health records (EHRs), which has helped it gain market share. The continued advancements and investments in healthcare technology and services will probably maintain this region's prominence.

Region with highest CAGR:

In the global healthcare market, the Asia-Pacific region is anticipated to hold the highest CAGR. This rapid growth is caused by a number of variables, including rising healthcare costs, an aging population, an increase in the prevalence of chronic diseases, and increased access to healthcare services. Furthermore, the Asia-Pacific region is also heavily investing in healthcare infrastructure, medical technologies, and digital health solutions, making it a hub for market growth and healthcare innovation.

Key players in the market:

Some of the key players in Artificial Intelligence in Healthcare market include: Micron Technology Inc., Allscripts Healthcare Solutions, Inc., Medtronic, Enlitic Inc., Google Inc., General Vision, Inc., General Electric Company, Intel Corporation, Amazon Web Services Inc., Nuance Communications Inc., DeepMind Technologies Limited, Next IT Corporation, Koninklijke Philips N.V, Johnson & Johnson Services, Inc, Cloudmedx Inc., IBM Corporation, NVIDIA Corporation, Microsoft Corporation, Hewlett Packard Enterprise Company, Siemens Healthcare and Welltok, Inc.

Key Developments:

In May 2023, Medtronic plc, a global leader in healthcare technology, today announced it has entered into a set of definitive agreements to acquire EOFlow Co. Ltd., manufacturer of the EOPatch® device - a tubeless, wearable and fully disposable insulin delivery device. The addition of EOFlow, together with Medtronic's Meal Detection Technology™ algorithm and next-generation continuous glucose monitor, is expected to expand the company's ability to address the needs of more individuals with diabetes, no matter where they are in their treatment journey or preference for how they want their insulin delivered.

In February 2023, General Electric has signed an agreement with Iraq to set up new power plants and expand capacity at existing units in the country. The deal, which was signed between the US conglomerate and Iraq's Ministry of Electricity, also aims to maintain installed power generation and transmission infrastructure, establish new substations to relieve grid congestion and boost the connectivity between the Jordanian and Iraqi power grids, GE said on Thursday.

In January 2023, Amazon Web Services, Inc. announced its Strategic Collaboration Agreement (SCA) with Slalom, LLC to develop vertical solutions and accelerators on AWS for their customers in healthcare, life sciences, financial services, energy, and media and entertainment industries.

Offerings Covered:

  • Hardware
  • Software
  • Services
  • Other Offerings

Technologies Covered:

  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision
  • Other Technologies

Applications Covered:

  • Patient Data & Risk Analysis
  • Medical Imaging & Diagnostics
  • Precision Medicine
  • Drug Discovery
  • Lifestyle Management & Monitoring
  • Virtual Assistant
  • Wearables
  • In-patient Care & Hospital Management
  • Research
  • Emergency Room & Surgery
  • Mental Health
  • Administrative Workflow Assistants
  • Connected Machines
  • Diagnosis
  • Clinical Trials
  • Fraud Detection
  • Dosage Error Reduction
  • Healthcare Assistance Robots
  • Cybersecurity
  • Other Applications

End Users Covered:

  • Hospitals & Healthcare Providers
  • Healthcare Payers
  • Pharmaceuticals & Biotechnology Companies
  • Patients
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Artificial Intelligence in Healthcare Market, By Offering

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Processor
      • 5.2.1.1 MPU (Memory Processing Unit)
      • 5.2.1.2 GPU (Graphical Processing Unit)
      • 5.2.1.3 FPGA (Field Programmable Gate Array)
      • 5.2.1.4 ASIC
    • 5.2.2 Memory
    • 5.2.3 Network
      • 5.2.3.1 Adapter
      • 5.2.3.2 Switch
      • 5.2.3.3 Interconnect
  • 5.3 Software
    • 5.3.1 AI Platform
      • 5.3.1.1 Application Program Interface (API)
      • 5.3.1.2 Machine learning Framework
    • 5.3.2 AI Solution
      • 5.3.2.1 On-Premise
      • 5.3.2.2 Cloud
  • 5.4 Services
    • 5.4.1 Deployment and Integration
    • 5.4.2 Support & Maintenance
  • 5.5 Other Offerings

6 Global Artificial Intelligence in Healthcare Market, By Technology

  • 6.1 Introduction
  • 6.2 Machine Learning
    • 6.2.1 Deep Learning
    • 6.2.2 Supervised
    • 6.2.3 Unsupervised
    • 6.2.4 Reinforcement Learning
  • 6.3 Natural Language Processing
    • 6.3.1 IVR
    • 6.3.2 OCR
    • 6.3.3 Pattern and Image Recognition
    • 6.3.4 Auto Coding
    • 6.3.5 Classification and Categorization
    • 6.3.6 Text Analytics
    • 6.3.7 Speech Analytics
  • 6.4 Context-aware Computing
    • 6.4.1 Device Context
    • 6.4.2 User Context
    • 6.4.3 Physical Context
  • 6.5 Computer Vision
  • 6.6 Other Technology

7 Global Artificial Intelligence in Healthcare Market, By Application

  • 7.1 Introduction
  • 7.2 Patient Data & Risk Analysis
  • 7.3 Medical Imaging & Diagnostics
  • 7.4 Precision Medicine
  • 7.5 Drug Discovery
  • 7.6 Lifestyle Management & Monitoring
  • 7.7 Virtual Assistant
  • 7.8 Wearables
  • 7.9 In-patient Care & Hospital Management
  • 7.10 Research
  • 7.11 Emergency Room & Surgery
  • 7.12 Mental Health
  • 7.13 Administrative Workflow Assistants
  • 7.14 Connected Machines
  • 7.15 Diagnosis
  • 7.16 Clinical Trials
  • 7.17 Fraud Detection
  • 7.18 Dosage Error Reduction
  • 7.19 Healthcare Assistance Robots
  • 7.20 Cybersecurity
  • 7.21 Other Applications

8 Global Artificial Intelligence in Healthcare Market, By End User

  • 8.1 Introduction
  • 8.2 Hospitals & Healthcare Providers
  • 8.3 Healthcare Payers
  • 8.4 Pharmaceuticals & Biotechnology Companies
  • 8.5 Patients
  • 8.6 Other End Users

9 Global Artificial Intelligence in Healthcare Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Micron Technology Inc.
  • 11.2 Allscripts Healthcare Solutions, Inc.
  • 11.3 Medtronic
  • 11.4 Enlitic Inc.
  • 11.5 Google Inc.
  • 11.6 General Vision, Inc.
  • 11.7 General Electric Company
  • 11.8 Intel Corporation
  • 11.9 Amazon Web Services Inc.
  • 11.10 Nuance Communications Inc.
  • 11.11 DeepMind Technologies Limited
  • 11.12 Next IT Corporation
  • 11.13 Koninklijke Philips N.V
  • 11.14 Johnson & Johnson Services, Inc
  • 11.15 Cloudmedx Inc.
  • 11.16 IBM Corporation
  • 11.17 NVIDIA Corporation
  • 11.18 Microsoft Corporation
  • 11.19 Hewlett Packard Enterprise Company
  • 11.20 Siemens Healthcare
  • 11.21 Welltok, Inc.

List of Tables

  • Table 1 Global Artificial Intelligence in Healthcare Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Artificial Intelligence in Healthcare Market Outlook, By Offering (2021-2030) ($MN)
  • Table 3 Global Artificial Intelligence in Healthcare Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 4 Global Artificial Intelligence in Healthcare Market Outlook, By Processor (2021-2030) ($MN)
  • Table 5 Global Artificial Intelligence in Healthcare Market Outlook, By Memory (2021-2030) ($MN)
  • Table 6 Global Artificial Intelligence in Healthcare Market Outlook, By Network (2021-2030) ($MN)
  • Table 7 Global Artificial Intelligence in Healthcare Market Outlook, By Software (2021-2030) ($MN)
  • Table 8 Global Artificial Intelligence in Healthcare Market Outlook, By AI Platform (2021-2030) ($MN)
  • Table 9 Global Artificial Intelligence in Healthcare Market Outlook, By AI Solution (2021-2030) ($MN)
  • Table 10 Global Artificial Intelligence in Healthcare Market Outlook, By Services (2021-2030) ($MN)
  • Table 11 Global Artificial Intelligence in Healthcare Market Outlook, By Deployment and Integration (2021-2030) ($MN)
  • Table 12 Global Artificial Intelligence in Healthcare Market Outlook, By Support & Maintenance (2021-2030) ($MN)
  • Table 13 Global Artificial Intelligence in Healthcare Market Outlook, By Other Offerings (2021-2030) ($MN)
  • Table 14 Global Artificial Intelligence in Healthcare Market Outlook, By Technology (2021-2030) ($MN)
  • Table 15 Global Artificial Intelligence in Healthcare Market Outlook, By Machine Learning (2021-2030) ($MN)
  • Table 16 Global Artificial Intelligence in Healthcare Market Outlook, By Deep Learning (2021-2030) ($MN)
  • Table 17 Global Artificial Intelligence in Healthcare Market Outlook, By Supervised (2021-2030) ($MN)
  • Table 18 Global Artificial Intelligence in Healthcare Market Outlook, By Unsupervised (2021-2030) ($MN)
  • Table 19 Global Artificial Intelligence in Healthcare Market Outlook, By Reinforcement Learning (2021-2030) ($MN)
  • Table 20 Global Artificial Intelligence in Healthcare Market Outlook, By Natural Language Processing (2021-2030) ($MN)
  • Table 21 Global Artificial Intelligence in Healthcare Market Outlook, By IVR (2021-2030) ($MN)
  • Table 22 Global Artificial Intelligence in Healthcare Market Outlook, By OCR (2021-2030) ($MN)
  • Table 23 Global Artificial Intelligence in Healthcare Market Outlook, By Pattern and Image Recognition (2021-2030) ($MN)
  • Table 24 Global Artificial Intelligence in Healthcare Market Outlook, By Auto Coding (2021-2030) ($MN)
  • Table 25 Global Artificial Intelligence in Healthcare Market Outlook, By Classification and Categorization (2021-2030) ($MN)
  • Table 26 Global Artificial Intelligence in Healthcare Market Outlook, By Text Analytics (2021-2030) ($MN)
  • Table 27 Global Artificial Intelligence in Healthcare Market Outlook, By Speech Analytics (2021-2030) ($MN)
  • Table 28 Global Artificial Intelligence in Healthcare Market Outlook, By Context-aware Computing (2021-2030) ($MN)
  • Table 29 Global Artificial Intelligence in Healthcare Market Outlook, By Device Context (2021-2030) ($MN)
  • Table 30 Global Artificial Intelligence in Healthcare Market Outlook, By User Context (2021-2030) ($MN)
  • Table 31 Global Artificial Intelligence in Healthcare Market Outlook, By Physical Context (2021-2030) ($MN)
  • Table 32 Global Artificial Intelligence in Healthcare Market Outlook, By Computer Vision (2021-2030) ($MN)
  • Table 33 Global Artificial Intelligence in Healthcare Market Outlook, By Other Technology (2021-2030) ($MN)
  • Table 34 Global Artificial Intelligence in Healthcare Market Outlook, By Application (2021-2030) ($MN)
  • Table 35 Global Artificial Intelligence in Healthcare Market Outlook, By Patient Data & Risk Analysis (2021-2030) ($MN)
  • Table 36 Global Artificial Intelligence in Healthcare Market Outlook, By Medical Imaging & Diagnostics (2021-2030) ($MN)
  • Table 37 Global Artificial Intelligence in Healthcare Market Outlook, By Precision Medicine (2021-2030) ($MN)
  • Table 38 Global Artificial Intelligence in Healthcare Market Outlook, By Drug Discovery (2021-2030) ($MN)
  • Table 39 Global Artificial Intelligence in Healthcare Market Outlook, By Lifestyle Management & Monitoring (2021-2030) ($MN)
  • Table 40 Global Artificial Intelligence in Healthcare Market Outlook, By Virtual Assistant (2021-2030) ($MN)
  • Table 41 Global Artificial Intelligence in Healthcare Market Outlook, By Wearables (2021-2030) ($MN)
  • Table 42 Global Artificial Intelligence in Healthcare Market Outlook, By In-patient Care & Hospital Management (2021-2030) ($MN)
  • Table 43 Global Artificial Intelligence in Healthcare Market Outlook, By Research (2021-2030) ($MN)
  • Table 44 Global Artificial Intelligence in Healthcare Market Outlook, By Emergency Room & Surgery (2021-2030) ($MN)
  • Table 45 Global Artificial Intelligence in Healthcare Market Outlook, By Mental Health (2021-2030) ($MN)
  • Table 46 Global Artificial Intelligence in Healthcare Market Outlook, By Administrative Workflow Assistants (2021-2030) ($MN)
  • Table 47 Global Artificial Intelligence in Healthcare Market Outlook, By Connected Machines (2021-2030) ($MN)
  • Table 48 Global Artificial Intelligence in Healthcare Market Outlook, By Diagnosis (2021-2030) ($MN)
  • Table 49 Global Artificial Intelligence in Healthcare Market Outlook, By Clinical Trials (2021-2030) ($MN)
  • Table 50 Global Artificial Intelligence in Healthcare Market Outlook, By Fraud Detection (2021-2030) ($MN)
  • Table 51 Global Artificial Intelligence in Healthcare Market Outlook, By Dosage Error Reduction (2021-2030) ($MN)
  • Table 52 Global Artificial Intelligence in Healthcare Market Outlook, By Healthcare Assistance Robots (2021-2030) ($MN)
  • Table 53 Global Artificial Intelligence in Healthcare Market Outlook, By Cybersecurity (2021-2030) ($MN)
  • Table 54 Global Artificial Intelligence in Healthcare Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 55 Global Artificial Intelligence in Healthcare Market Outlook, By End User (2021-2030) ($MN)
  • Table 56 Global Artificial Intelligence in Healthcare Market Outlook, By Hospitals & Healthcare Providers (2021-2030) ($MN)
  • Table 57 Global Artificial Intelligence in Healthcare Market Outlook, By Healthcare Payers (2021-2030) ($MN)
  • Table 58 Global Artificial Intelligence in Healthcare Market Outlook, By Pharmaceuticals & Biotechnology Companies (2021-2030) ($MN)
  • Table 59 Global Artificial Intelligence in Healthcare Market Outlook, By Patients (2021-2030) ($MN)
  • Table 60 Global Artificial Intelligence in Healthcare Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.