マーケットレポート詳細
ヘルスケア向けAI（人工知能）市場：用途別、製品別2029年予測
Artificial Intelligence (AI) in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Application (Medical Imaging & Diagnostics, Patient Data & Risk Analysis), End User & Region - Global Forecast to 2029
- 出版元：MarketsandMarkets
出版元について - 発行年：2024年 2月
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【レポート紹介】
ヘルスケア向けAI（人工知能）の世界市場規模は2024年で209億ドル、2029年に1484億ドル、市場の平均年成長率は48.1%にて増加すると見込まれています。
レポートはヘルスケア向けAI（人工知能）の世界市場について2029年までの市場予測データ(金額US$)を掲載しています。同市場をさまざまな区分で細分化し、そのセグメント市場ごとの市場予測（製品別市場、技術別市場、等）を中心に構成されています。また競合状況、主要企業情報（12社）、ケーススタディ分析、ファイブフォース分析なども加味し、ヘルスケア向けAI（人工知能）市場の動向および今後成長性を詳細にレポートしています。
【レポート構成概要】
◆ヘルスケア向けAI（人工知能）市場の世界市場予測2020-2029年
・市場規模(US$)
◆製品別、市場-2029年
ハードウェア
・プロセッサ
-MPU、GPU
-GPU
- FPGA
- ASIC
・メモリー
・ネットワーク
ソフトウェア
・AIソリューション
-オンプレミス
-クラウド
・AIプラットフォーム
-機械学習フレームワーク
-アプリケーションプログラミングインタフェース（API）
サービス
・デプロイメント、インテグレーション
・サポート、メインテナンス
※(市場規模US$)
※プロセッサについては数量データ(Units)掲載
◆技術別、市場-2029年
機械学習
・ディープラーニング
・教師あり学習
・強化学習
・教師なし学習
・その他
自然言語処理
・自動音声応答（IVR）
・光学文字認識（OCR）
・パターン、画像認識
・オートコーディング
・分類、カテゴリー化
・テキスト分析
・音声分析
コンテキストアウェアコンピューティング
・デバイスコンテクスト
・ユーザーコンテクスト
・フィジカルコンテクスト
コンピュータービジョン
※(市場規模US$)
◆用途別、市場-2029年
・特許データ、リスク分析
・入院患者ケア、病院マネジメント
・医用画像、診断
・ライフスタイルマネジメント、遠隔患者モニタリング
・バーチャルアシスタント
・創薬
・研究
・ヘルスケアアシスタントロボット
・精密医療
・緊急治療室、手術室
・ウェアラブル
・メンタルヘルス
・サイバーセキュリティ
※(市場規模US$)
◆エンドユーザー別、市場-2029年
・病院、医療機関
・患者
・医薬品、バイオテクノロジー企業
・医療費負担者
・その他
※(市場規模US$)
◆主要国地域別市場-2029年
北米
・米国、カナダ、メキシコ
欧州
・英国、ドイツ、フランス
・イタリア、スペイン
・その他欧州
アジア太平洋
・日本、中国
・韓国、インド
・その他アジア太平洋
その他地域
・南米
・GCC諸国
・その他中東アフリカ
※地域別に製品大分類別、用途別、エンドユーザー別の細分化データ掲載
※国別にエンドユーザー別の細分化データ掲載、詳細は目次参照
◆市場分析
・市場ダイナミクス
・平均価格分析
・エコシステムマッピング
・技術分析
・特許分析
・貿易分析
・ケーススタディ分析
・ファイブフォース分析
・主要なシェアホルダーと購買基準
・競合状況
・市場シェア分析
◆ヘルスケア向けAI（人工知能）市場の主要企業プロフィール動向
・KONINKLIJKE PHILIPS NV
・MICROSOFT
・SIEMENS HEALTHINEERS AG
・INTEL CORPORATION
・NVIDIA CORPORATION
・GOOGLE INC
・GE HEALTHCARE
・MEDTRONIC
・MICRON TECHNOLOGY, INC
・AMAZONCOM, INC
・ORACLE
・JOHNSON & JOHNSON SERVICES, INC
その他企業
・MERATIVE
・GENERAL VISION INC
・CLOUDMEDX
・ONCORA MEDICAL
・ENLITIC, INC
・LUNIT INC
・QUREAI
・TEMPUS
・COTA
・FDNA INC
・RECURSION
・ATOMWISE INC
・VIRGIN PULSE
・BABYLON HEALTHCARE SERVICES LTD
・MDLIVE (EVERNORTH GROUP)
・STRYKER
・QVENTUS
・SWEETCH
・SIRONA MEDICAL, INC
・GINGER
・BIOBEAT
【レポート詳細目次、データ項目一覧は当ページ下を参照ください】
Table of Contents (英文詳細目次）
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE 46
1.3.1 MARKETS COVERED 46
1.3.2 REGIONAL SCOPE
1.3.3 YEARS CONSIDERED 47
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS 48
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
1.9 IMPACT OF RECESSION
・ FIGURE 1 GDP GROWTH PROJECTION DATA FOR MAJOR ECONOMIES, 2021–2023
1.10 GDP GROWTH PROJECTION UNTIL 2024 FOR MAJOR ECONOMIES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
・ FIGURE 2 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 LIST OF MAJOR SECONDARY SOURCES
2.1.1.2 KEY DATA FROM SECONDARY SOURCES
2.1.2 PRIMARY DATA
2.1.2.1 LIST OF KEY INTERVIEW PARTICIPANTS
2.1.2.2 KEY DATA FROM PRIMARY SOURCES
2.1.2.3 KEY INDUSTRY INSIGHTS
2.1.2.4 BREAKDOWN OF PRIMARIES
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
・ FIGURE 3 RESEARCH FLOW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE ESTIMATION
・ FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED BY COMPANIES FROM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 APPROACH TO ESTIMATE MARKET SIZE USING BOTTOM-UP ANALYSIS (DEMAND SIDE)
・ FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
・ FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH (DEMAND SIDE): REVENUE GENERATED FROM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
2.2.2 TOP-DOWN APPROACH 60
2.2.2.1 APPROACH TO ESTIMATE MARKET SIZE USING TOP-DOWN ANALYSIS (SUPPLY SIDE)
・ FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.3 DATA TRIANGULATION
・ FIGURE 8 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
2.6 PARAMETERS CONSIDERED TO ANALYZE RECESSION IMPACT ON STUDIED MARKET
2.7 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
・ FIGURE 9 SOFTWARE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2029
・ FIGURE 10 MACHINE LEARNING SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
・ FIGURE 11 PATIENTS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
・ FIGURE 12 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
・ FIGURE 13 NORTH AMERICA ACCOUNTED FOR LARGEST MARKET SHARE OF GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN 2023
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN HEALTHCARE MARKET
・ FIGURE 14 INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES TO CREATE LUCRATIVE OPPORTUNITIES FOR MARKET PLAYERS
4.2 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
・ FIGURE 15 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
4.3 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
・ FIGURE 16 MACHINE LEARNING TECHNOLOGY TO COMMAND MARKET FROM 2023 TO 2029
4.4 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
・ FIGURE 17 HOSPITALS & HEALTHCARE PROVIDERS SEGMENT TO LEAD MARKET THROUGHOUT FORECAST PERIOD
4.5 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
・ FIGURE 18 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO REGISTER HIGHEST GROWTH DURING FORECAST PERIOD
4.6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY
・ FIGURE 19 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN MEXICO TO GROW AT HIGHEST CAGR FROM 2024 TO 2029
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
・ FIGURE 20 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
・ FIGURE 21 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: DRIVERS AND THEIR IMPACT
5.2.1.1 EXPONENTIAL GROWTH IN DATA VOLUME AND COMPLEXITY DUE TO SURGING ADOPTION OF DIGITAL TECHNOLOGIES
5.2.1.2 SIGNIFICANT COST PRESSURE ON HEALTHCARE SERVICE PROVIDERS WITH INCREASING PREVALENCE OF CHRONIC DISEASES
5.2.1.3 RAPID PROLIFERATION OF AI IN HEALTHCARE SECTOR
5.2.1.4 GROWING NEED FOR IMPROVISED HEALTHCARE SERVICES
5.2.2 RESTRAINTS
・ FIGURE 22 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESTRAINTS AND THEIR IMPACT
5.2.2.1 RELUCTANCE AMONG MEDICAL PRACTITIONERS TO ADOPT AI-BASED TECHNOLOGIES
5.2.2.2 SHORTAGE OF SKILLED AI PROFESSIONALS HANDLING AI-POWERED SOLUTIONS 77
5.2.2.3 LACK OF STANDARDIZED FRAMEWORKS FOR AL AND ML TECHNOLOGIES
5.2.3 OPPORTUNITIES
・ FIGURE 23 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: OPPORTUNITIES AND THEIR IMPACT
5.2.3.1 INCREASING USE OF AI-POWERED SOLUTIONS IN ELDERLY CARE
5.2.3.2 INCREASING FOCUS ON DEVELOPING HUMAN-AWARE AI SYSTEMS
5.2.3.3 RISING USE OF TECHNOLOGY IN PHARMACEUTICALS INDUSTRY
5.2.3.4 STRATEGIC PARTNERSHIPS AND COLLABORATIONS AMONG HEALTHCARE COMPANIES AND AI TECHNOLOGY PROVIDERS
5.2.4 CHALLENGES
・ FIGURE 24 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: CHALLENGES AND THEIR IMPACT
5.2.4.1 INACCURATE PREDICTIONS DUE TO SCARCITY OF HIGH-QUALITY HEALTHCARE DATA
5.2.4.2 CONCERNS REGARDING DATA PRIVACY
・ FIGURE 25 DATA BREACHES IN HEALTHCARE SECTOR, 2019–2023
5.2.4.3 LACK OF INTEROPERABILITY BETWEEN AI SOLUTIONS OFFERED BY DIFFERENT VENDORS
・ FIGURE 26 CHALLENGES ASSOCIATED WITH HEALTHCARE DATA INTEROPERABILITY
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
・ FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.4 PRICING ANALYSIS
5.4.1 AVERAGE SELLING PRICE (ASP) TREND OF COMPONENTS OFFERED BY KEY PLAYERS, 2020–2029
・ FIGURE 28 AVERAGE SELLING PRICE (ASP) OF PROCESSOR COMPONENTS OFFERED BY KEY PLAYERS
・ TABLE 1 AVERAGE SELLING PRICE (ASP) OF PROCESSOR COMPONENTS OFFERED BY KEY PLAYERS
5.4.2 AVERAGE SELLING PRICE (ASP) TREND OF PROCESSOR COMPONENTS, BY REGION, 2020–2029
・ FIGURE 29 AVERAGE SELLING PRICE (ASP) TREND OF PROCESSOR COMPONENTS, BY REGION, 2020–2029
5.5 VALUE CHAIN ANALYSIS
・ FIGURE 30 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM MAPPING
・ FIGURE 31 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: ECOSYSTEM MAPPING
・ TABLE 2 COMPANIES AND THEIR ROLES IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE ECOSYSTEM
5.7 TECHNOLOGY ANALYSIS
5.7.1 CLOUD COMPUTING 91
5.7.2 CLOUD GPU
5.7.3 GENERATIVE AI
5.7.4 CLOUD-BASED PACS 92
5.7.5 MULTI-CLOUD
5.8 PATENT ANALYSIS
・ TABLE 3 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: INNOVATIONS AND PATENT REGISTRATIONS
・ FIGURE 32 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: PATENTS GRANTED, 2013–2023
・ FIGURE 33 TOP 10 PATENT OWNERS IN LAST 10 YEARS, 2013–2023
・ TABLE 4 TOP PATENT OWNERS IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN LAST 10 YEARS
5.9 TRADE ANALYSIS
・ FIGURE 34 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2018–2022 (USD MILLION)
・ FIGURE 35 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2018–2022 (USD MILLION)
5.10 KEY CONFERENCES AND EVENTS, 2024–2025
・ TABLE 5 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: LIST OF CONFERENCES AND EVENTS, 2024–2025
5.11 CASE STUDY ANALYSIS
5.11.1 BIOBEAT LAUNCHED HOME-BASED REMOTE PATIENT MONITORING KIT DURING PEAK WAVE OF COVID-19
5.11.2 MICROSOFT COLLABORATED WITH CLEVELAND CLINIC TO APPLY PREDICTIVE AND ADVANCED ANALYTICS TO IDENTIFY POTENTIAL AT-RISK PATIENTS UNDER ICU CARE
5.11.3 TGEN COLLABORATED WITH INTEL CORPORATION AND DELL TECHNOLOGIES TO ASSIST PHYSICIANS AND RESEARCHERS ACCELERATE DIAGNOSIS AND TREATMENT AT LOWER COST
5.11.4 INSILICO DEVELOPED ML-POWERED TOOLS FOR DRUG IDENTIFICATION AND CHEMISTRY42 FOR NOVEL COMPOUND DESIGN 103
5.11.5 GE HEALTHCARE IMPROVED PATIENT OUTCOMES BY REDUCING WORKFLOW PROCESSING TIME USING MEDICAL IMAGING DATA
5.12 TARIFFS, STANDARDS, AND REGULATORY LANDSCAPE
・ TABLE 6 MFN TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY US, 2022
・ TABLE 7 MFN TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY CHINA, 2022
・ TABLE 8 MFN TARIFF FOR HS CODE 854231-COMPLIANT PRODUCTS EXPORTED BY GERMANY, 2022
5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
・ TABLE 9 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
・ TABLE 10 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
・ TABLE 11 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
・ TABLE 12 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.12.2 STANDARDS
5.12.2.1 ISO 22399:2020
5.12.2.2 IEC 62366:2015
5.12.2.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT (HIPAA)
5.12.2.4 EU GENERAL DATA PROTECTION REGULATION (GDPR)
5.12.2.5 FAST HEALTHCARE INTEROPERABILITY RESOURCES (HL7 FHIR)
5.12.2.6 MEDICAL DEVICE REGULATION
5.12.2.7 WORLD HEALTH ORGANIZATION ARTIFICIAL INTELLIGENCE FOR HEALTH GUIDE
5.12.2.8 ALGORITHMIC JUSTICE LEAGUE FRAMEWORK FOR ASSESSING AI IN HEALTHCARE 111
5.12.3 GOVERNMENT REGULATIONS
5.12.3.1 US
5.12.3.2 EUROPE
5.12.3.3 CHINA
5.12.3.4 JAPAN
5.12.3.5 INDIA
5.13 PORTER’S FIVE FORCES ANALYSIS
・ TABLE 13 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS
・ FIGURE 36 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS 114
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
・ FIGURE 37 INFLUENCE OF KEY STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
・ TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
5.14.2 BUYING CRITERIA
・ FIGURE 38 KEY BUYING CRITERIA FOR TOP THREE END USERS
・ TABLE 15 KEY BUYING CRITERIA FOR TOP THREE END USERS
6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
6.1 INTRODUCTION
・ FIGURE 39 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
・ FIGURE 40 SOFTWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
・ TABLE 16 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
・ TABLE 17 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
6.2 HARDWARE
・ TABLE 18 HARDWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 19 HARDWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
・ TABLE 20 HARDWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 21 HARDWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
6.2.1 PROCESSOR
6.2.1.1 NEED FOR REAL-TIME PROCESSING OF PATIENT DATA TO BOOST DEMAND
・ TABLE 22 PROCESSOR: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (MILLION UNITS)
・ TABLE 23 PROCESSOR: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (MILLION UNITS)
・ TABLE 24 PROCESSOR: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 25 PROCESSOR: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
6.2.1.2 MPUS/CPUS
・ TABLE 26 CASE STUDY: PHILIPS COLLABORATED WITH INTEL CORPORATION TO OPTIMIZE AI INFERENCING HEALTHCARE WORKLOADS ON INTEL XEON SCALABLE PROCESSORS USING OPENVINO TOOLKIT
6.2.1.3 GPUS
・ TABLE 27 CASE STUDY: DEEPPHARMA PLATFORM, OFFERED BY INSILICO, EQUIPPED WITH ADVANCED DEEP LEARNING TECHNIQUES, HELPS ANALYZE MULTI-OMICS DATA AND TISSUE-SPECIFIC PATHWAY ACTIVATION PROFILES
6.2.1.4 FPGAS
・ TABLE 28 CASE STUDY: INTEL CORPORATION, IN COLLABORATION WITH BROAD INSTITUTE, DEVELOPED BIGSTACK* 2.0 TO MEET EVOLVING DEMANDS OF GENOMICS RESEARCH
6.2.1.5 ASICS
6.2.2 MEMORY
6.2.2.1 INCREASING DEMAND FOR REAL-TIME MEDICAL IMAGE ANALYSIS AND DIAGNOSIS SUPPORT SYSTEMS TO DRIVE MARKET
・ TABLE 29 CASE STUDY: HUAWEI ASSISTED TOULOUSE UNIVERSITY HOSPITAL WITH OCEANSTOR ALL-FLASH SOLUTION THAT OFFERS LOW LATENCY AND SIMPLIFIED OPERATIONS AND MAINTENANCE MANAGEMENT
6.2.3 NETWORK
6.2.3.1 GROWING NEED FOR REMOTE PATIENT MONITORING AND PRECISION MEDICINE TO FOSTER SEGMENTAL GROWTH
・ TABLE 30 NETWORK: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 31 NETWORK: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
6.3 SOFTWARE
・ TABLE 32 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 33 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
・ TABLE 34 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 35 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
6.3.1 AI SOLUTION
6.3.1.1 INTEGRATION OF NON-PROCEDURAL LANGUAGES INTO AI SOLUTIONS TO ACCELERATE SEGMENTAL GROWTH
・ TABLE 36 CASE STUDY: COGNIZANT LEVERAGED AZURE PLATFORM OF MICROSOFT AND DEVELOPED RESOLV, THAT EMPLOYS NATURAL LANGUAGE PROCESSING TO PROVIDE REAL-TIME RESPONSE TO ANALYTICAL QUERIES
・ TABLE 37 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
・ TABLE 38 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
6.3.1.2 ON-PREMISES
・ TABLE 39 CASE STUDY: GE HEALTHCARE ENHANCED ON-PREMISES CAPABILITY WITH SCYLLADB’S PROJECT ALTERNATOR
6.3.1.3 CLOUD
・ TABLE 40 CASE STUDY: TAKEDA COLLABORATED WITH DELOITTE TO EMPLOY DEEP MINER TOOLKIT FOR RAPID DEVELOPMENT AND TESTING OF PREDICTIVE MODELS
6.3.2 AI PLATFORM
6.3.2.1 INCREASING APPLICATIONS IN DEVELOPMENT OF TOOLKITS FOR HEALTHCARE SOLUTIONS TO DRIVE MARKET
・ TABLE 41 CASE STUDY: CAYUGA MEDICAL CENTER SOUGHT SIMPLE CDI SOFTWARE SOLUTION TO IMPROVE WORKFLOWS AND REDUCE COSTS 135
・ TABLE 42 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 43 SOFTWARE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2024–2029 (USD MILLION)
6.3.2.2 MACHINE LEARNING FRAMEWORK
6.3.2.3 APPLICATION PROGRAM INTERFACE
6.4 SERVICES
・ TABLE 44 SERVICES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 45 SERVICES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
・ TABLE 46 SERVICES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 47 SERVICES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
6.4.1 DEPLOYMENT & INTEGRATION
6.4.1.1 ENHANCED PATIENT CARE ALONG WITH STREAMLINES WORKFLOWS TO DRIVE DEMAND
6.4.2 SUPPORT & MAINTENANCE
6.4.2.1 NEED TO EVALUATE PERFORMANCE AND MAINTAIN OPERATIONAL STABILITY TO DRIVE MARKET
7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
・ FIGURE 41 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
・ FIGURE 42 MACHINE LEARNING TECHNOLOGY TO LEAD MARKET DURING FORECAST PERIOD
・ TABLE 48 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
・ TABLE 49 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
7.2 MACHINE LEARNING
・ TABLE 50 CASE STUDY: IN COLLABORATION WITH INTEL AND APOQLAR, THEBLUE.AI INTRODUCED BLUW.GDPR. EQUIPPED WITH ML ALGORITHMS ACCELERATED BY OPENVINO TOOLKIT
・ TABLE 51 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 52 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
7.2.1 DEEP LEARNING
7.2.1.1 RISING APPLICATIONS IN VOICE RECOGNITION, FRAUD DETECTION, AND RECOMMENDATION ENGINES TO DRIVE MARKET
・ TABLE 53 WINNING HEALTH TECHNOLOGY INTRODUCED AI MEDICAL IMAGING SOLUTION BASED ON AMAX DEEP LEARNING ALL-IN-ONE TO REDUCE OVERALL MODEL INFERENCE TIME FROM OVER 0.5 HOURS TO LESS THAN 2 MINUTES FOR AI-AIDED DIAGNOSTIC IMAGING OF PULMONARY NODULES
7.2.2 SUPERVISED LEARNING
7.2.2.1 CONTRIBUTION TO CLINICAL DECISION-MAKING AND ENHANCING PERSONALIZED MEDICATIONS TO BOOST DEMAND
7.2.3 REINFORCEMENT LEARNING
7.2.3.1 ENHANCED DIAGNOSTIC ACCURACY IN MEDICAL IMAGING ANALYSIS TO FUEL MARKET GROWTH
7.2.4 UNSUPERVISED LEARNING
7.2.4.1 ABILITY TO UNCOVER HIDDEN PATTERNS AND HANDLE UNLABELED DATA CHALLENGES TO BOOST DEMAND
7.2.5 OTHERS
7.3 NATURAL LANGUAGE PROCESSING
・ TABLE 54 CASE STUDY: MARUTI TECHLABS ASSISTED UKHEALTH WITH ML MODEL FOR AUTOMATIC DATA EXTRACTION AND CLASSIFICATION
・ TABLE 55 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 56 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
7.3.1 IVR
7.3.1.1 ENHANCED OPERATIONAL EFFICIENCY AND OPTIMIZED CLINICAL SUPPORT TO DRIVE MARKET
7.3.2 OCR
7.3.2.1 REDUCED ERRORS IN DATA ENTRY AND STREAMLINED ADMINISTRATIVE PROCESSES TO SPUR DEMAND
7.3.3 PATTERN AND IMAGE RECOGNITION
7.3.3.1 OPTIMIZED THERAPEUTIC OUTCOMES AND DEVELOPMENT OF PERSONAL MEDICATION TO FOSTER SEGMENTAL GROWTH
7.3.4 AUTO CODING
7.3.4.1 CONTRIBUTION TO COST-SAVING AND OPTIMIZATION OF CODING PROCESSES TO DRIVE MARKET
7.3.5 CLASSIFICATION AND CATEGORIZATION
7.3.5.1 ACCURATE PREDICTION OF DISEASE OUTCOMES TO BOOST DEMAND
7.3.6 TEXT ANALYTICS
7.3.6.1 SIGNIFICANT CONTRIBUTION TO DRUG DISCOVERY BY EXAMINING EXTENSIVE DATASETS OF SCIENTIFIC LITERATURE TO BOOST DEMAND
7.3.7 SPEECH ANALYTICS 153
7.3.7.1 CONTRIBUTION TO SENTIMENT ANALYSIS BY ASSESSING TONE OF PATIENT CONVERSATIONS TO BOOST DEMAND
7.4 CONTEXT-AWARE COMPUTING
・ TABLE 57 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2020–2023 (USD MILLION)
・ TABLE 58 CONTEXT-AWARE COMPUTING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
7.4.1 DEVICE CONTEXT
7.4.1.1 ABILITY TO OFFER COMPREHENSIVE VIEW OF PATIENT DATA TO BOOST DEMAND 154
7.4.2 USER CONTEXT
7.4.2.1 BETTER PREDICTIVE ANALYSIS FOR DISEASE PREVENTION TO FOSTER SEGMENTAL GROWTH
7.4.3 PHYSICAL CONTEXT 155
7.4.3.1 ABILITY TO ADDRESS INDIVIDUALIZED NEEDS BASED ON SURROUNDING ENVIRONMENT TO BOOST MARKET
7.5 COMPUTER VISION
7.5.1 ENHANCED PRECISION WITH 3D VISUALIZATIONS AND PERSONALIZED PROCEDURES TO FOSTER SEGMENTAL GROWTH
・ TABLE 59 CASE STUDY: PUNKTUM COLLABORATED WITH MAYO CLINIC TO DEVELOP CUTTING-EDGE DEEP LEARNING-BASED MODEL FOCUSED ON COMPUTER VISION FOR ACCURATE CLASSIFICATION OF ISCHEMIC STROKE ORIGINS 157
8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
8.1 INTRODUCTION
・ FIGURE 43 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
・ FIGURE 44 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2029
・ TABLE 60 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 61 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
8.2 PATIENT DATA & RISK ANALYSIS
8.2.1 CONVERGENCE OF ML AND NLP TO OFFER LUCRATIVE GROWTH OPPORTUNITIES FOR PLAYERS
・ TABLE 62 CASE STUDY: MAYO CLINIC PARTNERED WITH GOOGLE TO IMPLEMENT AI MODELS AND ENHANCE PATIENT CARE
・ TABLE 63 PATIENT DATA & RISK ANALYSIS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 64 PATIENT DATA & RISK ANALYSIS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 65 PATIENT DATA & RISK ANALYSIS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 66 PATIENT DATA & RISK ANALYSIS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.3 IN-PATIENT CARE & HOSPITAL MANAGEMENT
8.3.1 EASE OF PATIENT SCHEDULING WITH CHATBOTS AND VIRTUAL ASSISTANTS TO DRIVE MARKET
・ TABLE 67 CASE STUDY: PROMINENT MULTISPECIALTY HOSPITAL EMPLOYED ADOBE XD TO PREVENT RESOURCE WASTAGE AND ENHANCE EFFICIENCY
・ TABLE 68 IN-PATIENT CARE & HOSPITAL MANAGEMENT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 69 IN-PATIENT CARE & HOSPITAL MANAGEMENT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 70 IN-PATIENT CARE & HOSPITAL MANAGEMENT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 71 IN-PATIENT CARE & HOSPITAL MANAGEMENT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.4 MEDICAL IMAGING & DIAGNOSTICS
8.4.1 ACCESSIBILITY IN MEDICAL IMAGING AND WORKFLOW OPTIMIZATION TO FOSTER SEGMENTAL GROWTH
・ TABLE 72 CASE STUDY: PHILIPS TRANSFORMED HEALTHCARE WITH AWS-POWERED AI SOLUTIONS
・ TABLE 73 MEDICAL IMAGING & DIAGNOSTICS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 74 MEDICAL IMAGING & DIAGNOSTICS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 75 MEDICAL IMAGING & DIAGNOSTICS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 76 MEDICAL IMAGING & DIAGNOSTICS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING
8.5.1 ENHANCED PATIENT COMPLIANCE THROUGH BEHAVIORAL ANALYSIS TO BOOST DEMAND
・ TABLE 77 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 78 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 79 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 80 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.6 VIRTUAL ASSISTANTS
8.6.1 ABILITY TO OFFER SIMPLIFIED COMPLEX MEDICAL INFORMATION TO DRIVE MARKET
・ TABLE 81 CASE STUDY: OSF COLLABORATED WITH GYANT TO IMPLEMENT CLARE, AI VIRTUAL CARE NAVIGATION ASSISTANT, BOOSTING DIGITAL HEALTH TRANSFORMATION
・ TABLE 82 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 83 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 84 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 85 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.7 DRUG DISCOVERY
8.7.1 ACCELERATED IDENTIFICATION OF POTENTIAL DRUG CANDIDATES TO BOOST DEMAND
・ TABLE 86 CASE STUDY: AZOTHBIO UTILIZED RESCALE’S PLATFORM TO ENHANCE R&D AGILITY
・ TABLE 87 DRUG DISCOVERY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 88 DRUG DISCOVERY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 89 DRUG DISCOVERY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 90 DRUG DISCOVERY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.8 RESEARCH
8.8.1 GROWING IMPORTANCE IN ANALYSIS OF SEQUENCE AND FUNCTIONAL PATTERNS FROM SEQUENCE DATABASES TO ACCELERATE DEMAND
・ TABLE 91 RESEARCH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 92 RESEARCH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 93 RESEARCH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 94 RESEARCH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.9 HEALTHCARE ASSISTANCE ROBOTS
8.9.1 USE TO REVOLUTIONIZE PATIENT CARE BY STREAMLINING TASKS AND ENABLING REAL-TIME DATA ANALYSIS AND ENHANCE HEALTHCARE EXPERIENCES TO DRIVE MARKET
・ TABLE 95 HEALTHCARE ASSISTANCE ROBOTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 96 HEALTHCARE ASSISTANCE ROBOTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 97 HEALTHCARE ASSISTANCE ROBOTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 98 HEALTHCARE ASSISTANCE ROBOTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.10 PRECISION MEDICINES
8.10.1 PERSONALIZED HEALTHCARE BY STREAMLINING CLINICAL TRIALS TO ACCELERATE DEMAND
・ TABLE 99 PRECISION MEDICINE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 100 PRECISION MEDICINE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 101 PRECISION MEDICINE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 182
・ TABLE 102 PRECISION MEDICINE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 182
8.11 EMERGENCY ROOMS & SURGERIES
8.11.1 QUICK IDENTIFICATION OF LIFE-THREATENING PATHOLOGIES TO FOSTER SEGMENTAL GROWTH
・ TABLE 103 EMERGENCY ROOMS & SURGERIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 104 EMERGENCY ROOMS & SURGERIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 105 EMERGENCY ROOMS & SURGERIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 106 EMERGENCY ROOMS & SURGERIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.12 WEARABLES 184
8.12.1 PERSONALIZED TREATMENT STRATEGIES AND REAL-TIME INSIGHTS TO BOOST DEMAND
・ TABLE 107 CASE STUDY: KENSCI COLLABORATED WITH MICROSOFT TO ASSIST US NATIONAL GOVERNMENT IN IDENTIFYING PATIENTS WITH COPD
・ TABLE 108 WEARABLES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 109 WEARABLES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 110 WEARABLES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 111 WEARABLES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
8.13 MENTAL HEALTH
8.13.1 PRESSING NEED TO DETECT DEPRESSION AND IDENTIFY SUICIDE RISKS THROUGH TEXT ANALYSIS TO DRIVE MARKET
・ TABLE 112 MENTAL HEALTH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 113 MENTAL HEALTH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 114 MENTAL HEALTH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 187
・ TABLE 115 MENTAL HEALTH: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 188
8.14 CYBERSECURITY
8.14.1 PREVENTION OF INFILTRATION ATTEMPTS AND ENHANCED SPEED OF THREAT DETECTION TO BOOST DEMAND
・ TABLE 116 CASE STUDY: SNORKEL FLOW CREATED HIGH-ACCURACY ML MODELS TO OVERCOME HAND-LABELING CHALLENGES
・ TABLE 117 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 118 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 119 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 190
・ TABLE 120 CYBERSECURITY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 190
9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
9.1 INTRODUCTION
・ FIGURE 45 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
・ FIGURE 46 HOSPITALS & HEALTHCARE PROVIDERS TO HOLD LARGEST MARKET SHARE IN 2029
・ TABLE 121 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 122 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
9.2 HOSPITALS & HEALTHCARE PROVIDERS
9.2.1 INCREASING USE IN MINING MEDICAL DATA AND STUDYING GENOMICS-BASED DATA FOR PERSONALIZED MEDICINE TO BOOST MARKET GROWTH
・ TABLE 123 CASE STUDY: UNIVERSITY COLLEGE LONDON, KING’S COLLEGE LONDON, AND NATIONAL HEALTH SERVICE COLLABORATION RESULTED IN DEVELOPMENT OF COGSTACK, THAT REVOLUTIONIZED HEALTHCARE DATA UTILIZATION
・ TABLE 124 HOSPITALS & HEALTHCARE PROVIDERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 125 HOSPITALS & HEALTHCARE PROVIDERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 126 HOSPITALS & HEALTHCARE PROVIDERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 127 HOSPITALS & HEALTHCARE PROVIDERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
9.3 PATIENTS
9.3.1 RISE IN USE OF AI IN MENTAL HEALTH SUPPORT APPLICATIONS THROUGH CHATBOTS AND VIRTUAL THERAPISTS TO BOOST MARKET GROWTH
・ TABLE 128 CASE STUDY: COGNIZANT PARTNERED WITH ONE OF CLIENTS TO ENHANCE CALLER SELF-SERVICE AND IMPROVE MEMBER EXPERIENCE METRICS
・ TABLE 129 PATIENTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 130 PATIENTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 131 PATIENTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 132 PATIENTS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES
9.4.1 GROWING PARTNERSHIPS AMONG PLAYERS TO OFFER LUCRATIVE GROWTH OPPORTUNITIES TO PLAYERS
・ TABLE 133 CASE STUDY: AZURE MACHINE LEARNING-BASED INTELLIGENT SYSTEM ASSISTED LEADING PHARMA COMPANY TO AUTO-CLASSIFY PRODUCTS INTO MARKET-RELATED CATEGORIES THAT BOOSTED OPERATIONAL EFFICIENCY
・ TABLE 134 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 135 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 136 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 137 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
9.5 HEALTHCARE PAYERS
9.5.1 FAST AND ACCURATE CLAIM PROCESSING AND ENHANCED FRAUD DETECTION BENEFITS TO BOOST DEMAND
・ TABLE 138 HEALTHCARE PAYERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 139 HEALTHCARE PAYERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 140 HEALTHCARE PAYERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 141 HEALTHCARE PAYERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
9.6 OTHERS
・ TABLE 142 OTHERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 143 OTHERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 144 OTHERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 145 OTHERS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION
10.1 INTRODUCTION
・ FIGURE 47 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
・ TABLE 146 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 147 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: RECESSION IMPACT
・ FIGURE 48 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SNAPSHOT
・ FIGURE 49 US TO DOMINATE NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN 2029
・ TABLE 148 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2023 (USD MILLION) 214
・ TABLE 149 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 214
・ TABLE 150 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2023 (USD MILLION) 214
・ TABLE 151 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2024–2029 (USD MILLION) 214
・ TABLE 152 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 153 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 154 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 216
・ TABLE 155 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 216
10.2.2 US
10.2.2.1 HIGH HEALTHCARE SPENDING IN US TO DRIVE MARKET
・ TABLE 156 US: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 157 US: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.2.3 CANADA
10.2.3.1 GOVERNMENT-LED INITIATIVES TO SUPPORT DEPLOYMENT OF AI IN HEALTHCARE SECTOR TO BOOST DEMAND
・ TABLE 158 CANADA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 159 CANADA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.2.4 MEXICO
10.2.4.1 INCREASING PRIVATE SECTOR INVESTMENTS IN AI HEALTHCARE TECHNOLOGIES TO DRIVE MARKET
・ TABLE 160 MEXICO: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 161 MEXICO: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3 EUROPE
10.3.1 EUROPE: RECESSION IMPACT
・ FIGURE 50 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SNAPSHOT
・ FIGURE 51 REST OF EUROPE TO EXHIBIT HIGHEST CAGR IN EUROPEAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET DURING FORECAST PERIOD
・ TABLE 162 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
・ TABLE 163 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
・ TABLE 164 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
・ TABLE 165 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
・ TABLE 166 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 167 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 168 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 169 EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.2 GERMANY
10.3.2.1 RISING HEALTHCARE DATA GENERATION TO DRIVE MARKET
・ TABLE 170 GERMANY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 171 GERMANY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.3 UK
10.3.3.1 TARGETED TREATMENT WITH INCREASED SUCCESS RATES TO FUEL MARKET GROWTH
・ TABLE 172 UK: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 173 UK: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.4 FRANCE
10.3.4.1 FOCUS ON TELEMEDICINE AND CHRONIC DISEASE MANAGEMENT TO DRIVE MARKET
・ TABLE 174 FRANCE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 175 FRANCE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.5 ITALY
10.3.5.1 RISING GERIATRIC POPULATION TO DRIVE MARKET
・ TABLE 176 ITALY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 177 ITALY: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.6 SPAIN
10.3.6.1 GROWING PARTNERSHIPS BETWEEN TECHNOLOGY FIRMS AND HEALTHCARE PROVIDERS TO BOOST DEMAND
・ TABLE 178 SPAIN: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 179 SPAIN: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.3.7 REST OF EUROPE
・ TABLE 180 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 235
・ TABLE 181 REST OF EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 235
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: RECESSION IMPACT
・ FIGURE 52 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SNAPSHOT
・ FIGURE 53 CHINA TO EXHIBIT HIGHEST CAGR IN ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET DURING FORECAST PERIOD
・ TABLE 182 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
・ TABLE 183 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
・ TABLE 184 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
・ TABLE 185 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
・ TABLE 186 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 187 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 188 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 189 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.4.2 CHINA
10.4.2.1 GOVERNMENT-LED MEASURES TO EXPEDITE INTEGRATION OF AI INTO HEALTHCARE SECTOR TO DRIVE MARKET
・ TABLE 190 CHINA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 191 CHINA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.4.3 JAPAN
10.4.3.1 INCREASING NUMBER OF AI-DRIVEN START-UPS MANUFACTURING DIAGNOSTIC AND THERAPEUTIC TOOLS TO FUEL MARKET GROWTH
・ TABLE 192 JAPAN: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 193 JAPAN: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.4.4 SOUTH KOREA
10.4.4.1 INCREASING INCIDENCE OF CANCER TO DRIVE MARKET
・ TABLE 194 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 195 SOUTH KOREA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.4.5 INDIA
10.4.5.1 DEVELOPING IT INFRASTRUCTURE AND AI-FRIENDLY GOVERNMENT INITIATIVES TO SPUR MARKET GROWTH
・ TABLE 196 INDIA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 197 INDIA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.4.6 REST OF ASIA PACIFIC
・ TABLE 198 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 248
・ TABLE 199 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 249
10.5 ROW
10.5.1 ROW: RECESSION IMPACT
・ FIGURE 54 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SNAPSHOT
・ FIGURE 55 SOUTH AMERICA TO DOMINATE ROW MARKET IN 2029
・ TABLE 200 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2023 (USD MILLION)
・ TABLE 201 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2024–2029 (USD MILLION)
・ TABLE 202 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
・ TABLE 203 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
・ TABLE 204 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
・ TABLE 205 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
・ TABLE 206 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 207 ROW: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.5.2 SOUTH AMERICA
10.5.2.1 HIGH INVESTMENTS IN HEALTHCARE IT TO DRIVE MARKET
・ TABLE 208 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION) 255
・ TABLE 209 SOUTH AMERICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION) 255
10.5.3 GCC
10.5.3.1 RISING FOCUS ON TECHNOLOGICAL ADVANCEMENTS IN HEALTHCARE SECTOR TO DRIVE MARKET
・ TABLE 210 GCC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 211 GCC: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
10.5.4 REST OF MIDDLE EAST & AFRICA
10.5.4.1 GROWING INVESTMENTS IN INFORMATION AND COMMUNICATION TECHNOLOGIES TO BOOST DEMAND
・ TABLE 212 REST OF MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2023 (USD MILLION)
・ TABLE 213 REST OF MEA: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2024–2029 (USD MILLION)
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 STRATEGIES ADOPTED BY MAJOR PLAYERS, 2020–2023
・ TABLE 214 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS, 2020–2023
11.3 REVENUE ANALYSIS, 2019–2023
・ FIGURE 56 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2023
・ FIGURE 57 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SHARE ANALYSIS, 2023
・ TABLE 215 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SHARE ANALYSIS, 2023
11.5 COMPANY EVALUATION MATRIX, 2023
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
・ FIGURE 58 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: COMPANY EVALUATION MATRIX, 2023
11.5.5 COMPANY FOOTPRINT
・ TABLE 216 OVERALL COMPANY FOOTPRINT
・ TABLE 217 COMPANY OFFERING FOOTPRINT 266
・ TABLE 218 COMPANY END USER FOOTPRINT 267
・ TABLE 219 COMPANY REGION FOOTPRINT
11.6 START-UP/SMALL AND MEDIUM-SIZED ENTERPRISE (SME) EVALUATION MATRIX, 2023
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
・ FIGURE 59 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: START-UP/SME EVALUATION MATRIX, 2023
・ TABLE 220 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: LIST OF KEY START-UPS/SMES
11.6.5 COMPETITIVE BENCHMARKING
・ TABLE 221 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
11.7 COMPETITIVE SCENARIOS AND TRENDS
11.7.1 PRODUCT LAUNCHES
・ TABLE 222 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: PRODUCT LAUNCHES, 2020 - 2023
11.7.2 DEALS
・ TABLE 223 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: DEALS, 2020 - 2023
12 COMPANY PROFILES
12.1 KEY PLAYERS 275
(BUSINESS OVERVIEW, PRODUCTS /SOLUTIONS/SERVICES OFFERED, RECENT DEVELOPMENTS, PRODUCT LAUNCHES, MNM VIEW, KEY STRENGTHS/RIGHT TO WIN, STRATEGIC CHOICES MADE, AND WEAKNESSES AND COMPETITIVE THREATS)*
12.1.1 KONINKLIJKE PHILIPS N.V.
・ TABLE 224 KONINKLIJKE PHILIPS N.V.: COMPANY OVERVIEW
・ FIGURE 60 KONINKLIJKE PHILIPS N.V.: COMPANY SNAPSHOT
・ TABLE 225 KONINKLIJKE PHILIPS N.V.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 226 KONINKLIJKE PHILIPS N.V.: PRODUCT LAUNCHES
・ TABLE 227 KONINKLIJKE PHILIPS N.V.: DEALS
・ TABLE 228 KONINKLIJKE PHILIPS N.V.: OTHERS
12.1.2 MICROSOFT
・ TABLE 229 MICROSOFT: COMPANY OVERVIEW 284
・ FIGURE 61 MICROSOFT: COMPANY SNAPSHOT 285
・ TABLE 230 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 231 MICROSOFT: PRODUCT LAUNCHES 286
・ TABLE 232 MICROSOFT: DEALS
・ TABLE 233 MICROSOFT: OTHERS
12.1.3 SIEMENS HEALTHINEERS AG
・ TABLE 234 SIEMENS HEALTHINEERS AG: COMPANY OVERVIEW
・ FIGURE 62 SIEMENS HEALTHINEERS AG: COMPANY SNAPSHOT
・ TABLE 235 SIEMENS HEALTHINEERS AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 236 SIEMENS HEALTHINEERS AG: PRODUCT LAUNCHES
・ TABLE 237 SIEMENS HEALTHINEERS AG: DEALS
・ TABLE 238 SIEMENS HEALTHINEERS AG: OTHERS
12.1.4 INTEL CORPORATION
・ TABLE 239 INTEL CORPORATION: COMPANY OVERVIEW
・ FIGURE 63 INTEL CORPORATION: COMPANY SNAPSHOT
・ TABLE 240 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 241 INTEL CORPORATION: PRODUCT LAUNCHES
・ TABLE 242 INTEL CORPORATION: DEALS
・ TABLE 243 INTEL CORPORATION: OTHERS
12.1.5 NVIDIA CORPORATION
・ TABLE 244 NVIDIA CORPORATION: COMPANY OVERVIEW
・ FIGURE 64 NVIDIA CORPORATION: COMPANY SNAPSHOT
・ TABLE 245 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 246 NVIDIA CORPORATION: PRODUCT LAUNCHES
・ TABLE 247 NVIDIA CORPORATION: DEALS
・ TABLE 248 NVIDIA CORPORATION: OTHERS 311
12.1.6 GOOGLE INC.
・ TABLE 249 GOOGLE INC.: COMPANY OVERVIEW
・ FIGURE 65 GOOGLE INC.: COMPANY SNAPSHOT
・ TABLE 250 GOOGLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 251 GOOGLE INC.: PRODUCT LAUNCHES
・ TABLE 252 GOOGLE INC.: DEALS
・ TABLE 253 GOOGLE INC.: OTHERS
12.1.7 GE HEALTHCARE
・ TABLE 254 GE HEALTHCARE: COMPANY OVERVIEW
・ FIGURE 66 GE HEALTHCARE: COMPANY SNAPSHOT
・ TABLE 255 GE HEALTHCARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 256 GE HEALTHCARE: PRODUCT LAUNCHES
・ TABLE 257 GE HEALTHCARE: DEALS
12.1.8 MEDTRONIC
・ TABLE 258 MEDTRONIC: COMPANY OVERVIEW 323
・ FIGURE 67 MEDTRONIC: COMPANY SNAPSHOT 324
・ TABLE 259 MEDTRONIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 260 MEDTRONIC: DEALS
12.1.9 MICRON TECHNOLOGY, INC.
・ TABLE 261 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
・ FIGURE 68 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
・ TABLE 262 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 263 MICRON TECHNOLOGY, INC: .PRODUCT LAUNCHES
・ TABLE 264 MICRON TECHNOLOGY, INC.: DEALS
12.1.10 AMAZON.COM, INC.
・ TABLE 265 AMAZON.COM, INC.: COMPANY OVERVIEW
・ FIGURE 69 AMAZON.COM, INC.: COMPANY SNAPSHOT
・ TABLE 266 AMAZON.COM, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 267 AMAZON.COM, INC.: PRODUCT LAUNCHES
・ TABLE 268 AMAZON.COM, INC.: DEALS
12.1.11 ORACLE
・ TABLE 269 ORACLE: COMPANY OVERVIEW
・ FIGURE 70 ORACLE: COMPANY SNAPSHOT
・ TABLE 270 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 271 ORACLE: PRODUCT LAUNCHES
・ TABLE 272 ORACLE: DEALS
12.1.12 JOHNSON & JOHNSON SERVICES, INC.
・ TABLE 273 JOHNSON & JOHNSON SERVICES, INC.: COMPANY OVERVIEW
・ FIGURE 71 JOHNSON & JOHNSON SERVICES, INC.: COMPANY SNAPSHOT
・ TABLE 274 JOHNSON & JOHNSON SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
・ TABLE 275 JOHNSON & JOHNSON SERVICES, INC.: DEALS
12.2 OTHER PLAYERS
12.2.1 MERATIVE
12.2.2 GENERAL VISION INC.
12.2.3 CLOUDMEDX
12.2.4 ONCORA MEDICAL
12.2.5 ENLITIC, INC.
12.2.6 LUNIT INC.
12.2.7 QURE.AI
12.2.8 TEMPUS
12.2.9 COTA
12.2.10 FDNA INC.
12.2.11 RECURSION
12.2.12 ATOMWISE INC.
12.2.13 VIRGIN PULSE
12.2.14 BABYLON HEALTHCARE SERVICES LTD
12.2.15 MDLIVE (EVERNORTH GROUP)
12.2.16 STRYKER
12.2.17 QVENTUS
12.2.18 SWEETCH
12.2.19 SIRONA MEDICAL, INC.
12.2.20 GINGER
12.2.21 BIOBEAT
*DETAILS ON BUSINESS OVERVIEW, PRODUCTS /SOLUTIONS/SERVICES OFFERED, RECENT DEVELOPMENTS, PRODUCT LAUNCHES, MNM VIEW, KEY STRENGTHS/RIGHT TO WIN, STRATEGIC CHOICES MADE, AND WEAKNESSES AND COMPETITIVE THREATS MIGHT NOT BE CAPTURED IN CASE OF UNLISTED COMPANIES.
13 APPENDIX