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市場調查報告書

醫療AI的全球市場 (∼2026年):Covid-19的影響分析

Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, & Others), End-Use Application, End User & Region-Global Forecast to 2026

出版商 MarketsandMarkets 商品編碼 942629
出版日期 內容資訊 英文 256 Pages
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醫療AI的全球市場 (∼2026年):Covid-19的影響分析 Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, & Others), End-Use Application, End User & Region-Global Forecast to 2026
出版日期: 2020年06月09日內容資訊: 英文 256 Pages
簡介

全球醫療AI的市場在預測期間內預計將以44.9%的年複合成長率發展,從2020年的49億美元,成長到2026年的452億美元的規模。醫療保健相關資料數量的增加,資料集複雜度增加,削減醫療費的壓力,運算能力的提高,硬體設備成本低,超越產業的聯盟、合作的增加,醫療者和患者的不平衡性,即興醫療服務的必要性擴大等要素,促進該市場的成長。還有新型冠狀病毒感染疾病 (COVID-19)的疫苗及醫藥品開發的促進,全球各製藥、生物科技企業進行該技術的引進,也成為促進該市場的成長的主要原因。可是同時,對AI技術利用醫生的抵抗感和有技術的人力不足都妨礙市場進一步成長。

本報告提供全球醫療AI的市場調查,市場定義和概要,價值鏈,市場成長的各種影響因素分析,市場規模的變化、預測,提供內容、技術、用途、終端用戶、地區/主要國家等各種區分的明細,競爭環境,主要企業簡介等資料彙整。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

第5章 市場概要

  • 簡介
  • 市場動態
    • 促進因素
    • 阻礙因素
    • 市場機會
    • 課題
  • 價值鏈分析
  • 案例研究
  • COVID-19的影響

第6章 市場分析、預測:各提供種類

  • 簡介
  • 硬體設備
    • 處理器
    • 記憶體
    • 通訊網
  • 軟體
    • AI解決方案
    • AI平台
  • 服務
    • 引進、整合
    • 支援和維修

第7章 市場分析、預測:各技術

  • 簡介
  • 機器學習
    • 深度學習
    • 附監視學習
    • 強化學習
    • 無教師學習
    • 其他
  • 自然語言處理
  • 情境認知計算
  • 電腦視覺

第8章 市場分析、預測:各用途

  • 簡介
  • 患者資料與風險分析
  • 住院治療、醫院管理
  • 醫療圖像、診斷
  • 生活習慣管理、遙控病患監測
  • 虛擬助手
  • 藥物發現
  • 研究
  • 醫療支援機器人
  • 精密醫療
  • 緊急治療室、手術室
  • 穿戴式
  • 心理健康
  • 網路安全

第9章 市場分析、預測:各終端用戶

  • 簡介
  • 醫院、醫療提供者
  • 患者
  • 醫藥品、生物科技企業
  • 保險者
  • 其他

第10章 市場分析、預測:各地區、主要國家

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 印度
    • 其他
  • 其他地區
    • 南美
    • 中東、非洲

第11章 競爭情形

  • 概要
  • 企業排行榜
  • 競爭領導製圖
  • 競爭模式

第12章 企業簡介

  • 主要企業
    • NVIDIA
    • INTEL
    • IBM
    • GOOGLE
    • MICROSOFT
    • GENERAL ELECTRIC (GE) COMPANY
    • SIEMENS HEALTHINEERS (A STRATEGIC UNIT OF SIEMENS GROUP)
    • MEDTRONIC
    • MICRON TECHNOLOGY
    • AMAZON WEB SERVICES (AWS)
  • 其他的主要企業
    • JOHNSON & JOHNSON SERVICES
    • KONINKLIJKE PHILIPS
    • GENERAL VISION
  • 主要企業:各用途

第13章 附錄

目錄
Product Code: SE 5225

Title:
Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis
by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026.

"AI in healthcare market projected to grow at a CAGR of 44.9% from 2020 to 2026."

The global AI in healthcare market is expected to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026; it is projected to grow at a CAGR of 44.9% during the forecast period. The major factors driving the growth of the market are the increasing volume of healthcare data and growing complexities of datasets, the intensifying need to reduce towering healthcare costs, improving computing power and declining hardware costs, growing number of cross-industry partnerships and collaborations, and rising imbalance between health workforce and patients driving the need for improvised healthcare services.

Another major driving factor fueling the market growth currently is the adoption of this technology by multiple pharmaceutical and biotechnology companies across the world to expedite vaccine or drug development processes for COVID-19. The major restraint for the market is the reluctance among medical practitioners to adopt AI-based technologies and lack of skilled workforce.

MPU processor segment expected to hold largest share in AI in healthcare in 2020

An MPU contains all or most of the CPU functions and is the engine that goes into motion when the computer is on. A microprocessor is specially designed to perform arithmetic and logic operations that use small number-holding areas called registers. Typical microprocessor operations include adding, subtracting, comparing two numbers, and fetching numbers. These operations are the result of a set of instructions that are part of the microprocessor design.

AI in healthcare market for machine learning projected to grow at highest CAGR during forecast period

Growing adoption of deep learning in various healthcare applications, especially in the areas of medical imaging, disease diagnostics, and drug discovery, and the use of different sensors and devices to track a patient's health status in real time are supplementing the growth of the market.

Patient data & risk analysis segment to capture largest share of AI in healthcare market

The growth of the patient data & risk analysis segment is attributed to the increasing adoption of EMRs and various advantages offered by AI systems to healthcare service providers, patients, pharmaceuticals companies, and payers.

Breakdown of Profiles of Primary Participants:

  • By Company Type: Tier 1 - 40%, Tier 2 - 25%, and Tier 3 - 35%
  • By Designation: C-level Executives - 45%, Directors - 25%, and Others - 30%
  • By Region: North America - 55%, Europe - 15%, Asia Pacific (APAC)- 20%, and the Rest of the World (RoW) - 10%

Major players in the AI in healthcare market are NVIDIA Corporation (NVIDIA) (US), Intel Corporation (Intel) (US), International Business Machines Corporation (IBM) (US), Google Inc. (Google) (US), Microsoft Corporation (Microsoft) (US), Amazon Web Services (an Amazon.com, Inc. subsidiary) (AWS) (US), General Vision, Inc. (US), General Electric (GE) Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US), Johnson & Johnson Services, Inc. (Johnson & Johnson) (US), and Koninklijke Philips N.V. (Netherlands).

Research Coverage:

The AI in healthcare market has been segmented based on offering, technology, end-use application, and end user. It also provides a detailed view of the market across 4 main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the AI in healthcare market based on offering, technology, end-use application, end user, and geography.
  • This report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the AI in healthcare market.
  • The report includes illustrative segmentation, analysis, and forecast for the AI in healthcare market based on its segments and subsegments.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
      • 2.1.1.1 Key industry insights
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 List of major secondary sources
      • 2.1.2.2 Secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 Primary interviews with experts
      • 2.1.3.2 Breakdown of primaries
      • 2.1.3.3 Key data from primary sources
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Estimating market size by bottom-up approach (demand side)
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Estimating market size by top-down approach (supply side)
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS

3 EXECUTIVE SUMMARY

  • 3.1 COVID-19 IMPACT ANALYSIS: AI IN HEALTHCARE MARKET
    • 3.1.1 PRE-COVID-19 SCENARIO
    • 3.1.2 REALISTIC SCENARIO
    • 3.1.3 OPTIMISTIC SCENARIO
    • 3.1.4 PESSIMISTIC SCENARIO

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN AI IN HEALTHCARE MARKET
  • 4.2 AI IN HEALTHCARE MARKET, BY OFFERING
  • 4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
  • 4.4 EUROPE: AI IN HEALTHCARE MARKET, BY END USER AND COUNTRY
  • 4.5 AI IN HEALTHCARE MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Influx of large and complex healthcare datasets
      • 5.2.1.2 Growing need to reduce healthcare costs
      • 5.2.1.3 Improving computing power and declining hardware cost
      • 5.2.1.4 Growing number of cross-industry partnerships and collaborations
      • 5.2.1.5 Rising need for improvised healthcare services due to imbalance between health workforce and patients
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies
      • 5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Growing potential of AI-based tools for elderly care
      • 5.2.3.2 Increasing focus on developing human-aware AI systems
      • 5.2.3.3 Growing potential of AI-technology in genomics, drug discovery, and imaging & diagnostics to fight COVID-19
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of curated healthcare data
      • 5.2.4.2 Concerns regarding data privacy
      • 5.2.4.3 Lack of interoperability between AI solutions offered by different vendors
  • 5.3 VALUE CHAIN ANALYSIS
  • 5.4 CASE STUDIES
    • 5.4.1 MAYO CLINIC'S CENTER FOR INDIVIDUALIZED MEDICINE COLLABORATED WITH TEMPUS TO PERSONALIZE CANCER TREATMENT
    • 5.4.2 MICROSOFT COLLABORATED WITH CLEVELAND CLINIC TO IDENTIFY POTENTIAL AT-RISK PATIENTS UNDER ICU CARE
    • 5.4.3 NVIDIA AND MASSACHUSETTS GENERAL HOSPITAL PARTNERED TO USE ARTIFICIAL INTELLIGENCE FOR ADVANCED RADIOLOGY, PATHOLOGY, AND GENOMICS
    • 5.4.4 MICROSOFT PARTNERED WITH WEIL CORNELL MEDICINE TO DEVELOP AI-POWERED CHATBOT
    • 5.4.5 PARTNERS HEALTHCARE AND GE HEALTHCARE ENTERED INTO 10-YEAR COLLABORATION FOR INTEGRATING AI ACROSS CONTINUUM OF CARE
    • 5.4.6 ULTRONICS, ZEBRA MEDICAL VISION, AI2 INCUBATOR, AND FUJIFILM SONOSITE ARE USING AI PLATFORM FOR ENHANCING MEDICAL IMAGING ANALYSIS
    • 5.4.7 NUMEDII, 4QUANT, AND DESKTOP GENETICS TO USE AI FOR RESEARCH AND DEVELOPMENT
    • 5.4.8 NUANCE LAUNCHED DRAGON MEDICAL VIRTUAL ASSISTANT
    • 5.4.9 GE HEALTHCARE LAUNCHED COMMAND CENTER FOR EMERGENCY ROOMS AND SURGERIES
    • 5.4.10 AISERVE OFFERS AI WEARABLE FOR BLIND AND PARTIALLY SIGHTED
  • 5.5 IMPACT OF COVID-19 ON AI IN HEALTHCARE MARKET

6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING

  • 6.1 INTRODUCTION
  • 6.2 HARDWARE
    • 6.2.1 PROCESSOR
      • 6.2.1.1 MPU
      • 6.2.1.2 GPU
      • 6.2.1.3 FPGA
      • 6.2.1.4 ASIC
    • 6.2.2 MEMORY
      • 6.2.2.1 High-bandwidth memory is being developed and deployed for AI applications, independent of its computing architecture
    • 6.2.3 NETWORK
      • 6.2.3.1 NVIDIA (US) and Intel (US) are key providers of network interconnect adapters for AI applications
  • 6.3 SOFTWARE
    • 6.3.1 AI SOLUTIONS
      • 6.3.1.1 On-premises
        • 6.3.1.1.1 Data-sensitive enterprises prefer advanced on-premises NLP and ML tools for use in AI solutions
      • 6.3.1.2 Cloud
        • 6.3.1.2.1 Cloud provides additional flexibility for business operations and real-time deployment ease to companies that are implementing real-time analytics
    • 6.3.2 AI PLATFORM
      • 6.3.2.1 Machine learning framework
        • 6.3.2.1.1 Major tech companies such as Google, IBM, and Microsoft are developing and offering ML frameworks
      • 6.3.2.2 Application program interface (API)
        • 6.3.2.2.1 APIs are used during programming of graphical user interface (GUI) components
  • 6.4 SERVICES
    • 6.4.1 DEPLOYMENT & INTEGRATION
      • 6.4.1.1 Need for deployment and integration services for AI hardware and software solutions is supplementing growth of this segment
    • 6.4.2 SUPPORT & MAINTENANCE
      • 6.4.2.1 Maintenance services are required to keep the performance of systems at an acceptable standard

7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
  • 7.2 MACHINE LEARNING
    • 7.2.1 DEEP LEARNING
      • 7.2.1.1 Deep learning enables machines to build hierarchical representations
    • 7.2.2 SUPERVISED LEARNING
      • 7.2.2.1 Classification and regression are major segments of supervised learning
    • 7.2.3 REINFORCEMENT LEARNING
      • 7.2.3.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of systems
    • 7.2.4 UNSUPERVISED LEARNING
      • 7.2.4.1 Unsupervised learning includes clustering methods consisting of algorithms with unlabeled training data
    • 7.2.5 OTHERS
  • 7.3 NATURAL LANGUAGE PROCESSING
    • 7.3.1 NLP IS WIDELY USED BY CLINICAL AND RESEARCH COMMUNITY IN HEALTHCARE
  • 7.4 CONTEXT-AWARE COMPUTING
    • 7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED GROWTH OF CONTEXT-AWARE COMPUTING
  • 7.5 COMPUTER VISION
    • 7.5.1 COMPUTER VISION TECHNOLOGY HAS SHOWN SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY

8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USE APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 PATIENT DATA AND RISK ANALYSIS
    • 8.2.1 GROWTH IN HEALTHCARE DATA HAS ESCALATED USE OF PATIENT DATA AND RISK ANALYSIS SOLUTIONS
  • 8.3 INPATIENT CARE & HOSPITAL MANAGEMENT
    • 8.3.1 DEMAND TO REDUCE OPERATIONAL COST IN HOSPITALS TO GENERATE DEMAND FOR AI-BASED INPATIENT CARE AND HOSPITAL MANAGEMENT SOLUTIONS
  • 8.4 MEDICAL IMAGING & DIAGNOSTICS
    • 8.4.1 GROWTH IN MEDICAL IMAGING DATA HAS PROPELLED USE OF AI IN MEDICAL IMAGING AND DIAGNOSTICS APPLICATION
  • 8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING
    • 8.5.1 AI SOLUTIONS FOR LIFESTYLE MANAGEMENT AND MONITORING HELP PATIENTS IN MAKING HEALTHIER LIFESTYLE CHANGES
  • 8.6 VIRTUAL ASSISTANTS
    • 8.6.1 INCREASING DEMAND TO IMPROVE FOLLOW-UP CARE, ESPECIALLY FOR PATIENTS WITH CHRONIC DISEASES, IS DRIVING GROWTH OF VIRTUAL ASSISTANTS SEGMENT
  • 8.7 DRUG DISCOVERY
    • 8.7.1 AI IS EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY
  • 8.8 RESEARCH
    • 8.8.1 USE OF AI ALGORITHMS BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING DRIVES ADOPTION OF AI IN RESEARCH
  • 8.9 HEALTHCARE ASSISTANCE ROBOTS
    • 8.9.1 HEALTHCARE ASSISTANCE ROBOTS HAVE BEEN ADOPTED IN SEVERAL AREAS THAT DIRECTLY AFFECT PATIENT CARE
  • 8.10 PRECISION MEDICINE
    • 8.10.1 AI IS EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE
  • 8.11 EMERGENCY ROOM & SURGERY
    • 8.11.1 LIMITED WORKFORCE IN EMERGENCY ROOMS AND DEMAND TO SUPPORT CLINICIANS WITH SURGICAL DATA TO DRIVE GROWTH OF AI IN EMERGENCY ROOM AND SURGERY
  • 8.12 WEARABLES
    • 8.12.1 WEARABLE DEVICES ARE CLINICALLY USEFUL FOR IMPROVING REAL-TIME MONITORING OF PATIENTS
  • 8.13 MENTAL HEALTH
    • 8.13.1 GLOBAL INCREASE IN MENTAL DISORDERS IS KEY SUPPORTING FACTOR FOR GROWING USE OF AI IN MENTAL HEALTH APPLICATION
  • 8.14 CYBERSECURITY
    • 8.14.1 AI IN HEALTHCARE CYBERSECURITY IS BECOMING CRITICAL FOR PROTECTING ONSITE SYSTEMS

9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

  • 9.1 INTRODUCTION
  • 9.2 HOSPITALS AND HEALTHCARE PROVIDERS
    • 9.2.1 AI CAN BE UTILIZED TO PREDICT AND PREVENT READMISSIONS, AND IMPROVE OPERATIONS OF HOSPITALS AND CARE PROVIDERS
  • 9.3 PATIENTS
    • 9.3.1 SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF AI AMONG PATIENTS
  • 9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES
    • 9.4.1 APPLICATIONS SUCH AS DRUG DISCOVERY, PRECISION MEDICINE, AND RESEARCH ARE EXPECTED TO DRIVE USE OF AI BY PHARMACEUTICALS AND BIOTECHNOLOGY COMPANIES
  • 9.5 HEALTHCARE PAYERS
    • 9.5.1 HEALTHCARE PAYERS USE AI TOOLS MAINLY FOR MANAGING RISKS, IDENTIFYING CLAIMS TRENDS, AND MAXIMIZING PAYMENT ACCURACY
  • 9.6 OTHERS
    • 9.6.1 PATIENT DATA AND RISK ANALYSIS, AND HEALTHCARE ASSISTANCE ROBOTS TO DRIVE USE OF AI BY ACOS AND MCOS

10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 US
      • 10.2.1.1 High healthcare spending to complement the growth of AI in the US
    • 10.2.2 CANADA
      • 10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada to propel AI in healthcare market
    • 10.2.3 MEXICO
      • 10.2.3.1 AI-enabled devices for the healthcare sector have been gaining traction in Mexico
  • 10.3 EUROPE
    • 10.3.1 GERMANY
      • 10.3.1.1 Government initiatives to expedite AI development supporting AI in healthcare market growth in Germany
    • 10.3.2 UK
      • 10.3.2.1 Adoption of AI in drug discovery space is fueling growth of AI in healthcare market in UK
    • 10.3.3 FRANCE
      • 10.3.3.1 Government endeavors to develop healthcare IT in France is likely to support AI in healthcare market
    • 10.3.4 ITALY
      • 10.3.4.1 Development of electronic health records and aging population is driving market growth in Italy
    • 10.3.5 SPAIN
      • 10.3.5.1 Growing awareness of AI in Spain is favoring AI in healthcare market growth
    • 10.3.6 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 CHINA
      • 10.4.1.1 Concrete government measures to accelerate AI development is fueling AI in healthcare market growth in China
    • 10.4.2 JAPAN
      • 10.4.2.1 AI application to expedite drug discovery is motivating growth of AI in healthcare market in Japan
    • 10.4.3 SOUTH KOREA
      • 10.4.3.1 Quality healthcare services and rapid expansion of medical insurance coverage is motivating growth of AI in healthcare market in South Korea
    • 10.4.4 INDIA
      • 10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives supporting growth of AI in healthcare market in India
    • 10.4.5 REST OF ASIA PACIFIC
  • 10.5 REST OF THE WORLD
    • 10.5.1 SOUTH AMERICA
      • 10.5.1.1 Heavy investment in healthcare IT is driving growth of market in South America
    • 10.5.2 MIDDLE EAST AND AFRICA
      • 10.5.2.1 Growing healthcare expenditure in Middle East and North Africa is fostering growth of AI in healthcare market

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 RANKING OF PLAYERS, 2019
  • 11.3 COMPETITIVE LEADERSHIP MAPPING
    • 11.3.1 VISIONARY LEADERS
    • 11.3.2 DYNAMIC DIFFERENTIATORS
    • 11.3.3 INNOVATORS
    • 11.3.4 EMERGING COMPANIES
  • 11.4 COMPETITIVE SCENARIO
    • 11.4.1 PRODUCT DEVELOPMENTS AND LAUNCHES
    • 11.4.2 COLLABORATIONS, PARTNERSHIPS, AND STRATEGIC ALLIANCES
    • 11.4.3 ACQUISITIONS & JOINT VENTURES

12 COMPANY PROFILES (Business overview, Products offered, Recent developments, SWOT analysis & MnM View)*

  • 12.1 KEY PLAYERS
    • 12.1.1 NVIDIA
    • 12.1.2 INTEL
    • 12.1.3 IBM
    • 12.1.4 GOOGLE
    • 12.1.5 MICROSOFT
    • 12.1.6 GENERAL ELECTRIC (GE) COMPANY
    • 12.1.7 SIEMENS HEALTHINEERS (A STRATEGIC UNIT OF SIEMENS GROUP)
    • 12.1.8 MEDTRONIC
    • 12.1.9 MICRON TECHNOLOGY
    • 12.1.10 AMAZON WEB SERVICES (AWS)
  • 12.2 RIGHT TO WIN
  • 12.3 OTHER MAJOR COMPANIES
    • 12.3.1 JOHNSON & JOHNSON SERVICES
    • 12.3.2 KONINKLIJKE PHILIPS
    • 12.3.3 GENERAL VISION
  • 12.4 COMPANY PROFILES, BY APPLICATION
    • 12.4.1 PATIENT DATA & RISK ANALYSIS
      • 12.4.1.1 CloudMedx
      • 12.4.1.2 Oncora medical
      • 12.4.1.3 Anju life sciences software
      • 12.4.1.4 CareSkore
      • 12.4.1.5 Linguamatics
    • 12.4.2 MEDICAL IMAGING & DIAGNOSTICS
      • 12.4.2.1 Enlitic
      • 12.4.2.2 Lunit
      • 12.4.2.3 CureMetrix
      • 12.4.2.4 Qure.ai
      • 12.4.2.5 ContextVision
      • 12.4.2.6 Caption health
      • 12.4.2.7 Butterfly networks
      • 12.4.2.8 Imagia cybernetics
    • 12.4.3 PRECISION MEDICINE
      • 12.4.3.1 Precision health AI
      • 12.4.3.2 Cota
      • 12.4.3.3 FDNA
    • 12.4.4 DRUG DISCOVERY
      • 12.4.4.1 Recursion pharmaceuticals
      • 12.4.4.2 Atomwise
      • 12.4.4.3 Deep genomics
      • 12.4.4.4 Cloud pharmaceuticals
    • 12.4.5 LIFESTYLE MANAGEMENT & MONITORING
      • 12.4.5.1 Welltok
      • 12.4.5.2 Vitagene
      • 12.4.5.3 Lucina health
    • 12.4.6 VIRTUAL ASSISTANTS
      • 12.4.6.1 Next IT (A verint systems company)
      • 12.4.6.2 Babylon
      • 12.4.6.3 MDLIVE
    • 12.4.7 WEARABLES
      • 12.4.7.1 Magnea
      • 12.4.7.2 PhysIQ
      • 12.4.7.3 Cyrcadia health
    • 12.4.8 EMERGENCY ROOM & SURGERY
      • 12.4.8.1 Caresyntax
      • 12.4.8.2 Gauss surgical
      • 12.4.8.3 Perceive 3D
      • 12.4.8.4 MaxQ AI
    • 12.4.9 INPATIENT CARE & HOSPITAL MANAGEMENT
      • 12.4.9.1 Qventus
      • 12.4.9.2 WorkFusion
    • 12.4.10 RESEARCH
      • 12.4.10.1 iCarbonX
      • 12.4.10.2 Desktop genetics
    • 12.4.11 CYBERSECURITY
      • 12.4.11.1 Darktrace
      • 12.4.11.2 Cylance
      • 12.4.11.3 LexisNexis risk solutions
      • 12.4.11.4 Securonix
    • 12.4.12 MENTAL HEALTH
      • 12.4.12.1 Ginger.io
      • 12.4.12.2 X2AI
      • 12.4.12.3 BioBeats
    • 12.4.13 HEALTHCARE ASSISTANCE ROBOTS
      • 12.4.13.1 Pillo
      • 12.4.13.2 Catalia health

*Details on Business overview, Products offered, Recent developments, SWOT analysis & MnM View might not be captured in case of unlisted companies.

13 APPENDIX

  • 13.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 13.2 DISCUSSION GUIDE
  • 13.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4 AVAILABLE CUSTOMIZATIONS
  • 13.5 RELATED REPORTS
  • 13.6 AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1 AI IN HEALTHCARE MARKET, BY OFFERING, 2017-2026 (USD MILLION)
  • TABLE 2 AI IN HEALTHCARE MARKET, BY HARDWARE, 2017-2026 (USD MILLION)
  • TABLE 3 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 4 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2017-2026 (USD MILLION)
  • TABLE 5 AI IN HEALTHCARE MARKET, BY SOFTWARE, 2017-2026 (USD MILLION)
  • TABLE 6 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 7 AI IN HEALTHCARE MARKET FOR SOLUTION, BY DEPLOYMENT, 2017-2026 (USD MILLION)
  • TABLE 8 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY PLATFORM, 2017-2026 (USD MILLION)
  • TABLE 9 AI IN HEALTHCARE MARKET, BY SERVICES, 2017-2026 (USD MILLION)
  • TABLE 10 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 11 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2017-2026 (USD MILLION)
  • TABLE 12 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING, BY TYPE, 2017-2026 (USD MILLION)
  • TABLE 13 AI IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, BY TYPE, 2017-2026 (USD MILLION)
  • TABLE 14 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2017-2026 (USD MILLION)
  • TABLE 15 AI IN HEALTHCARE MARKET, BY END-USE APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 16 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 17 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 18 AI IN HEALTHCARE MARKET FOR INPATIENT CARE & HOSPITAL MANAGEMENT, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 19 AI IN HEALTHCARE MARKET FOR INPATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 20 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 21 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 22 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 23 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 24 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 25 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANTS, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 26 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 27 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 28 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 29 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 30 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 31 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 32 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 33 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 34 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 35 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 36 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 37 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 38 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 39 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 40 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 41 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 42 AI IN HEALTHCARE MARKET, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 43 AI IN HEALTHCARE MARKET FOR HOSPITAL AND HEALTHCARE PROVIDERS, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 44 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 45 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 46 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 47 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 48 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 49 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 50 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 51 AI IN HEALTHCARE MARKET FOR PATIENTS IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 52 AI IN HEALTHCARE MARKET FOR PATIENTS IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 53 AI IN HEALTHCARE MARKET FOR PATIENTS IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 54 AI IN HEALTHCARE MARKET FOR PATIENTS IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 55 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 56 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 57 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 58 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 59 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 60 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 61 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 62 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 63 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 64 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 65 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 66 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 67 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 68 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 69 AI IN HEALTHCARE MARKET FOR OTHERS IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 70 AI IN HEALTHCARE MARKET FOR OTHERS IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 71 AI IN HEALTHCARE MARKET FOR OTHERS IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 72 AI IN HEALTHCARE MARKET FOR OTHERS IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 73 AI IN HEALTHCARE MARKET, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 74 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 75 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 76 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY OFFERING, 2017-2026 (USD MILLION)
  • TABLE 77 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 78 AI IN HEALTHCARE MARKET IN US, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 79 AI IN HEALTHCARE MARKET IN CANADA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 80 AI IN HEALTHCARE MARKET IN MEXICO, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 81 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 82 AI IN HEALTHCARE MARKET IN EUROPE, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 83 AI IN HEALTHCARE MARKET IN EUROPE, BY OFFERING, 2017-2026 (USD MILLION)
  • TABLE 84 AI IN HEALTHCARE MARKET IN EUROPE, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 85 AI IN HEALTHCARE MARKET IN GERMANY, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 86 AI IN HEALTHCARE MARKET IN UK, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 87 AI IN HEALTHCARE MARKET IN FRANCE, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 88 AI IN HEALTHCARE MARKET IN ITALY, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 89 AI IN HEALTHCARE MARKET IN SPAIN, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 90 AI IN HEALTHCARE MARKET IN REST OF EUROPE, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 91 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 2017-2026 (USD MILLION)
  • TABLE 92 AI IN HEALTHCARE MARKET IN APAC, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 93 AI IN HEALTHCARE MARKET IN APAC, BY OFFERING, 2017-2026 (USD MILLION)
  • TABLE 94 AI IN HEALTHCARE MARKET IN APAC, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 95 AI IN HEALTHCARE MARKET IN CHINA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 96 AI IN HEALTHCARE MARKET IN JAPAN, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 97 AI IN HEALTHCARE MARKET IN SOUTH KOREA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 98 AI IN HEALTHCARE MARKET IN INDIA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 99 AI IN HEALTHCARE MARKET IN REST OF ASIA PACIFIC, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 100 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2017-2026 (USD MILLION)
  • TABLE 101 AI IN HEALTHCARE MARKET IN ROW, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 102 AI IN HEALTHCARE MARKET IN ROW, BY OFFERING, 2017-2026 (USD MILLION)
  • TABLE 103 AI IN HEALTHCARE MARKET IN ROW, BY APPLICATION, 2017-2026 (USD MILLION)
  • TABLE 104 AI IN HEALTHCARE MARKET IN SOUTH AMERICA, BY END USER, 2017-2026 (USD MILLION)
  • TABLE 105 AI IN HEALTHCARE MARKET IN MIDDLE EAST & AFRICA, BY END USER, 2017-2026 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESEARCH DESIGN
  • FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE)-REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS
  • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE)-ILLUSTRATION OF REVENUE ESTIMATION OF COMPANIES FROM SALES OF AI IN HEALTHCARE OFFERING
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3-BOTTOM-UP (DEMAND SIDE) ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET, BY END USER
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 7 DATA TRIANGULATION
  • FIGURE 8 ASSUMPTIONS FOR THE RESEARCH STUDY
  • FIGURE 9 AI IN HEALTHCARE MARKET, BY OFFERING, 2020 VS. 2026 (USD MILLION)
  • FIGURE 10 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2020 VS. 2026 (USD MILLION)
  • FIGURE 11 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2017-2026 (USD MILLION)
  • FIGURE 12 AI IN HEALTHCARE MARKET, BY APPLICATION, 2020 VS. 2026 (USD MILLION)
  • FIGURE 13 AI IN HEALTHCARE MARKET, BY END USER, 2020 VS. 2026 (USD MILLION)
  • FIGURE 14 AI IN HEALTHCARE MARKET, BY REGION, 2020
  • FIGURE 15 ANALYZING AI IN HEALTHCARE MARKET SCENARIOS
  • FIGURE 16 AVAILABILITY OF BIG DATA IN HEALTHCARE AND INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES ARE MAJOR FACTORS DRIVING MARKET GROWTH
  • FIGURE 17 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
  • FIGURE 18 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2020 TO 2026
  • FIGURE 19 GERMANY EXPECTED TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2020 IN EUROPE
  • FIGURE 20 US TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2020
  • FIGURE 21 INCREASINGLY LARGE AND COMPLEX DATASETS AND GROWING DEMAND TO REDUCE HEALTHCARE COSTS ARE DRIVING MARKET GROWTH
  • FIGURE 22 TYPES OF HEALTHCARE BREACHES REPORTED TO US DEPARTMENT OF HEALTH AND HUMAN SERVICES (2018 TO 2020)
  • FIGURE 23 AI IN HEALTHCARE MARKET VALUE CHAIN IN 2019
  • FIGURE 24 SOFTWARE TO HOLD LARGEST SIZE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
  • FIGURE 25 AI IN HEALTHCARE PROCESSOR MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 26 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR SOFTWARE DURING FORECAST PERIOD
  • FIGURE 27 MACHINE LEARNING TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
  • FIGURE 28 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SIZE OF AI IN HEALTHCARE MARKET IN 2026
  • FIGURE 29 NORTH AMERICA TO LEAD LIFESTYLE MANAGEMENT & MONITORING APPLICATION DURING FORECAST PERIOD
  • FIGURE 30 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR RESEARCH DURING FORECAST PERIOD
  • FIGURE 31 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY APPLICATION IN 2020
  • FIGURE 32 HOSPITAL AND HEALTHCARE PROVIDERS TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2020 AND 2026
  • FIGURE 33 VIRTUAL ASSISTANTS APPLICATION TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR PATIENTS DURING FORECAST PERIOD
  • FIGURE 34 MEDICAL IMAGING & DIAGNOSTICS APPLICATION TO WITNESS HIGHEST CAGR IN AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES DURING FORECAST PERIOD
  • FIGURE 35 CYBERSECURITY APPLICATION TO HOLD LARGER SHARE OF AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS DURING FORECAST PERIOD
  • FIGURE 36 CHINA AND US ARE EMERGING AS NEW HOTSPOTS FOR AI IN HEALTHCARE MARKET
  • FIGURE 37 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 NORTH AMERICA: SNAPSHOT OF AI IN HEALTHCARE MARKET
  • FIGURE 39 NORTH AMERICA AI IN HEALTHCARE MARKET FOR SERVICE OFFERINGS TO CAPTURE HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 EUROPE: SNAPSHOT OF AI IN HEALTHCARE MARKET
  • FIGURE 41 HOSPITALS & PROVIDERS SEGMENT TO HOLD LARGEST SHARE OF EUROPEAN AI IN HEALTHCARE MARKET IN 2020
  • FIGURE 42 APAC: SNAPSHOT OF AI IN HEALTHCARE MARKET
  • FIGURE 43 SERVICE OFFERINGS TO WITNESS HIGHEST CAGR IN APAC AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
  • FIGURE 44 ROW: SNAPSHOT OF AI IN HEALTHCARE MARKET
  • FIGURE 45 HOSPITALS & PROVIDERS TO BE LARGEST END USER SEGMENT IN ROW AI IN HEALTHCARE MARKET IN 2020
  • FIGURE 46 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN HEALTHCARE MARKET FROM 2017 TO MID-2020
  • FIGURE 47 RANKING OF KEY COMPANIES IN AI IN HEALTHCARE MARKET (2019)
  • FIGURE 48 AI IN HEALTHCARE MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019
  • FIGURE 49 COLLABORATIONS, PARTNERSHIPS, AND STRATEGIC ALLIANCES WAS THE KEY STRATEGY ADOPTED BY MARKET PLAYERS FROM JANUARY 2017 TO MARCH 2020
  • FIGURE 50 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 51 INTEL: COMPANY SNAPSHOT
  • FIGURE 52 IBM: COMPANY SNAPSHOT
  • FIGURE 53 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 54 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 55 GE: COMPANY SNAPSHOT
  • FIGURE 56 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT
  • FIGURE 57 MEDTRONIC: COMPANY SNAPSHOT
  • FIGURE 58 MICRON TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 59 AWS: COMPANY SNAPSHOT