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2030 年醫療保健市場人工智慧 (AI) 預測：按產品、技術、用途、最終用戶和地區進行的全球分析
市場調查報告書
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1358973

2030 年醫療保健市場人工智慧 (AI) 預測：按產品、技術、用途、最終用戶和地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC預測，2023年全球人工智慧（AI）醫療保健市場規模將達到224.2億美元，預測期內年複合成長率為45.6%，預計到2030年將達到3,110.4億美元。

人工智慧 (AI) 涉及使用演算法和軟體來分析複雜的醫療資料。人工智慧被定義為將基於人類智慧的各種功能，如推理、學習和解決問題的能力，應用於生物學、電腦科學、數學、語言學、心理學和工程學等各個領域的智慧系統。人工智慧在領域的應用正在提高醫學研發的效率、創造力和成本效益。

根據 2020 年 NCBI 的一項研究，基於人工智慧的演算法在由醫療專業人員診斷為陰性的 25 名患者資料正確識別了 68% 的 COVID-19 陽性病例。

政府和私部門投資

隨著製藥和醫療技術公司增加人工智慧（AI）支出以發展業務，該行業預計將迅速擴張。普華永道表示，人工智慧 (AI) 有效、快速，並且以顯著更低的成本執行營運任務。此外，人工智慧將協助醫療保健專業人員早期發現和診斷所有疾病。因此，該行業的大多數醫療保健提供者都在增加投資。

成本上升、資料外洩和複雜性增加

儘管人工智慧（AI）在醫療保健行業的應用較多，但其普及仍然較低。因為醫療保健提供者必須處理幾個複雜的問題。人工智慧的整合可能會引入錯誤，並造成患者的診斷和所提供的藥物之間的脫節。資料隱私問題也是領域領域人工智慧的一個障礙。許多國家都有專門的法律來保護病患的健康資訊。然而，違反這項法規可能會產生財務和法律後果。由於不道德地收集敏感資料等問題，病患資料安全風險也隨之增加。因此，對病患安全和不道德資料收集的擔憂日益增加，阻礙了整體市場的擴張。

開發大型且複雜的醫療資料

大型複雜資料，也稱為巨量資料，包括點擊流、網路和社交媒體互動、心電圖 (ECG)、X光和脈搏血氧計等醫療設備的讀數、醫療申請等申請記錄，用於醫療保健領域來識別從電子健康記錄(EMR)、藥物、生物辨識資料等收集的資訊。在過去的年度中，隨著醫療保健專業人員採用電子健康記錄（EHR）、數位化檢查幻燈片和高解析度放射影像，巨量資料收集和分析工具的發展變得更加複雜和廣泛。 。

AI人才短缺與電子醫療軟體法規標準不完善

人工智慧是一個複雜的系統，企業需要具有一定技能的人員來設計、管理和部署人工智慧系統。例如，使用人工智慧系統的個人應該熟悉深度學習、認知運算、機器學習和機器智慧等技術。然而，複製人腦行為並將人工智慧解決方案整合到現有系統中是一項艱鉅的任務，需要大量的資料處理。即使很小的錯誤也會導致系統故障或對預期結果產生負面影響。

新冠肺炎 (COVID-19) 影響：

在分析期間，COVID-19的影響預計將顯著推動醫療保健市場的人工智慧（AI）。 AI 透過監測病毒傳播來診斷 COVID-19 的能力顯著增加了對基於 AI 的工具和解決方案的需求。此外，對用於分析人群流行病風險評估和捕獲即時資料的電子健康記錄（EHR）系統的需求不斷成長，也促進了市場的擴張。

預計軟體領域在預測期內將是最大的產業

在預測期內，軟體領域佔據了最大的市場佔有率，這主要是由於人工智慧驅動的軟體解決方案在醫療機構、醫療保健提供者、消費者和付款人之間的快速普及。軟體領域的擴張是由醫療保健產業對基於人工智慧的軟體解決方案的使用增加投資所推動的。此外，這種成長與人工智慧和基於機器學習的技術在世界各地各種醫療保健應用中的越來越多的使用有關。

製藥和生物技術公司領域預計在預測期內年複合成長率最高

預計製藥和生物技術公司部門在預測期內將呈現良好的成長。在醫療保健領域，人工智慧（AI）被用來支援基因序列測定工作以及預測藥物的有效性和安全性。該市場領域的擴張是由不同市場參與企業之間不斷增加的合作夥伴關係所推動的。例如，默克公司和內華達州楊森製藥公司於2020年7月共同開發了人工智慧診斷工具。該技術有助於提高對被忽視的熱帶疾病 (NTD)、血吸蟲病和土源性蠕蟲病 (STH) 的檢測。

佔比最大的地區：

由於 IT 基礎設施的快速發展和專門從事人工智慧技術的創業項目，亞太地區預計將在整個外推期內佔據最大佔有率。採用率的推動因素是私人投資者、創業投資和非營利組織為改善治療結果、資料分析、安全性和降低成本而增加的投資。此外，推動亞太市場成長的主要原因之一是支持和促進醫療機構和醫療服務提供者快速採用基於人工智慧的技術的有利政府政策。

複合年複合成長率最高的地區：

由於對尖端數位技術的需求不斷成長，預計北美在預測期內將實現盈利成長。北美擁有強大且發達的醫療保健、IT 和通訊基礎設施，因此醫療保健領域的人工智慧 (AI) 市場正在不斷擴大。該地區的醫療保健產業也得到鼓勵使用尖端數位技術的政府法規的支持。北美擁有龐大的患者群。據估計，超過一半的美國患有一種或多種慢性病。因此，該地區的住院患者人數不斷增加。

免費客製化服務：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球醫療保健市場人工智慧（AI）：依產品分類

  • 硬體
    • 記憶
    • 通訊網路
    • 處理器
  • 軟體
    • 人工智慧解決方案
    • 人工智慧平台
  • 服務

第6章 全球醫療保健人工智慧 (AI) 市場：按技術分類

  • 自然語言處理
    • 圖案和影像識別
    • 分類與分類
    • 語音分析
    • 其他
  • 機器學習
    • 強化學習
    • 監督
    • 深度學習
    • 其他
  • 電腦視覺
  • 其他

第7章 全球醫療保健市場人工智慧（AI）：按應用分類

  • 網路安全
  • 醫療保健支援機器人
  • 急診室及手術室
  • 生活方式管理和監控
  • 藥物研發
  • 醫療圖像與診斷
  • 其他

第8章 全球醫療保健市場人工智慧 (AI)：按最終用戶分類

  • 病人
  • 製藥和生物技術公司
  • 醫療保健付款人
  • 其他

第9章 全球醫療保健市場人工智慧（AI）：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第10章 進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章公司簡介

  • 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.