表紙
市場調查報告書

醫療保健AI(人工智能)的全球市場預測

Global Artificial Intelligence in Healthcare Market Forecast 2020-2028

出版商 Inkwood Research 商品編碼 560792
出版日期 內容資訊 英文 205 Pages
商品交期: 2-3個工作天內
價格
醫療保健AI(人工智能)的全球市場預測 Global Artificial Intelligence in Healthcare Market Forecast 2020-2028
出版日期: 2020年04月13日內容資訊: 英文 205 Pages
簡介

全球醫療保健AI(人工智能)市場在2020年∼2028年間,預測將以38.05%的年複合成長率發展。由於醫療巨量資料的崛起,遺傳基因領域中AI的應用擴大,臨床決策相關檢驗的個體化醫療的登場,AI有效利用的即時監測等預計促進這個市場成長。

本報告提供全球醫療保健AI(人工智能)市場調查,市場概要,各產業結構,產品、技術、終端用戶、用途、地區的市場規模的變化與預測,市場成長要素及阻礙因素分析,課題,市場佔有率,競爭情形,主要企業的簡介等全面性資訊。

目錄

第1章 調查範圍與方法調查手法

  • 調查目的
  • 調查範圍
  • 調查手法
  • 前提與限制

第2章 摘要整理

  • 市場規模與預測
  • 市場概要

第3章 市場動態

  • 醫療保健AI的開發
  • 市場定義
  • 主要的成長要素
    • 醫療巨量資料的崛起
    • 臨床決策相關實驗上個體化醫療的登場
    • 遺傳基因領域中AI的應用擴大
    • AI有效利用的即時監測
    • 醫療保健穿戴式設備的監測的重要性
  • 主要的阻礙因素
    • AI技術的引進的延遲
    • 醫療軟體的不明確的法規指南
    • 資料安全的維持相關課題
    • 在醫療保健領域可利用的資料的不足

第4章 市場分析

  • 主要的投資洞察
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
  • 商機矩陣
  • 業者情勢
  • 價值鏈分析
    • 資料倉儲
    • AI(人工智能)分析
    • 軟體開發
  • 主要的購買標準
    • 用途
    • 技術
    • 現有基礎設施的整合性
  • 法律規範

第5章 醫療保健AI(人工智能)市場:各產品

  • 硬體設備
  • 軟體
  • 服務

第6章 醫療保健AI(人工智能)市場:各技術

  • 深度學習
  • 查詢方法
  • 自然語言處理
  • 情境感知流程

第7章 醫療保健AI(人工智能)市場:各終端用戶

  • ACOS、MCOS
  • 患者
  • 保險者
  • 製藥、生物科技企業
  • 醫療提供者

第8章 醫療保健AI(人工智能)市場:各用途

  • 即時監測
  • 精密醫療
  • 個人健康、護理輔助
  • 藥物研發、醫藥品開發
  • 機器人支援下邊術
  • 管理工作流程支援
  • 臨床試驗
  • 診斷、臨床決策支援
  • 其他

第9章 醫療保健AI(人工智能)市場:各地區

  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 俄羅斯
    • 比利時
    • 波蘭
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印尼
    • 泰國
    • 越南
    • 澳洲和紐西蘭
    • 其他
  • 其他地區
    • 南美
    • 中東、非洲

第10章 企業簡介

  • DEEP GENOMICS INC
  • ENLITIC INC
  • GE HEALTHCARE
  • GENERAL VISION INC
  • GOOGLE
  • IBM CORPORATION
  • ICARBONX
  • INTEL CORPORATION
  • MICROSOFT CORPORATION
  • NEXT IT CORPORATION
  • NVIDIA CORPORATION
  • ONCORA MEDICAL
  • RECURSION PHARMACEUTICALS INC
  • STRYKER CORPORATION
  • WELLTOK INC

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: 7808

KEY FINDINGS:

The global artificial intelligence in healthcare market is set to register growth, projecting a CAGR of 38.05% during the forecast period, 2020-2028. The prominent drivers of market growth are estimated to be the rising big data in the healthcare industry, the growing use of AI in genetics, the emergence of personalized medicine in tests for clinical decision making, along with the creation of a real-time monitoring system due to AI.

MARKET INSIGHTS:

The utilization of AI in healthcare entails the use of software and algorithms for estimating the human perception for analyzing complex medical data, along with the relationship between treatments or prevention techniques and patient outcomes. The growing demand for real-time monitoring system is one of the key aspects propelling the growth of the global artificial intelligence in healthcare market. The real-time monitoring devices like health monitoring devices or indicators track real-time health data of patients, which is increasing the demand for AI in healthcare. The devices also drive the relevancy of data interpretation and aid in reducing the time the patients spend in piecing data output. In healthcare, the devices help in detecting and preventing undesirable patient outputs. The growing number of mobile devices integrated with artificial intelligence assists in the prediction of future outcomes with regard to health, which further benefits market growth.

Medical practitioners are reluctant to adopt AI-based technologies, and this is restraining the growth of the market. The reluctance is because of the lack of data that identifies healthcare decisions. Also, from a diagnostics point of view, AI systems fare less in terms of efficiency in comparison to conventional methods. The companies in the market are competing against each other by providing the same characteristics and similar prices. The competitive rivalry is projected to be high during the forecast period.

REGIONAL INSIGHTS:

The geographical segmentation of the global artificial intelligence in healthcare market includes the analysis of Europe, North America, Asia Pacific, and the rest of the world. Inkwood Research estimates the Asia Pacific region to be the fastest-growing region by the end of the forecast period. The invention of new technologies, the presence of countries like China, Japan, Australia, and India, and the thriving artificial intelligence market, are the factors propelling the growth of the market.

COMPETITIVE INSIGHTS:

Some of the prominent companies operating in the market are Enlitic Inc, Next IT Corporation, Recursion, Welltok, GE Healthcare, Microsoft Corporation, etc.

Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

TABLE OF CONTENTS

1. RESEARCH SCOPE & METHODOLOGY

  • 1.1. STUDY OBJECTIVES
  • 1.2. SCOPE OF STUDY
  • 1.3. METHODOLOGY
  • 1.4. ASSUMPTIONS & LIMITATIONS

2. EXECUTIVE SUMMARY

  • 2.1. MARKET SIZE & ESTIMATES
  • 2.2. MARKET OVERVIEW

3. MARKET DYNAMICS

  • 3.1. DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE
  • 3.2. MARKET DEFINITION
  • 3.3. KEY DRIVERS
    • 3.3.1. RISE OF BIG DATA IN HEALTHCARE INDUSTRY
    • 3.3.2. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION MAKING
    • 3.3.3. INCREASING USE OF AI IN GENETICS
    • 3.3.4. AI CREATING A REAL-TIME MONITORING SYSTEM
    • 3.3.5. HEALTHCARE WEARABLES PLAYING AN IMPORTANT ROLE IN MONITORING
  • 3.4. KEY RESTRAINTS
    • 3.4.1. SLOW ADOPTION OF AI BASED TECHNOLOGIES
    • 3.4.2. AMBIGUOUS REGULATORY GUIDELINES FOR MEDICAL SOFTWARE
    • 3.4.3. CHALLENGE TO MAINTAIN DATA SECURITY
    • 3.4.4. LACK OF USABLE DATA IN HEALTHCARE

4. KEY ANALYTICS

  • 4.1. KEY INVESTMENT INSIGHTS
  • 4.2. PORTER'S FIVE FORCE ANALYSIS
    • 4.2.1. BUYER POWER
    • 4.2.2. SUPPLIER POWER
    • 4.2.3. SUBSTITUTION
    • 4.2.4. NEW ENTRANTS
    • 4.2.5. INDUSTRY RIVALRY
  • 4.3. OPPORTUNITY MATRIX
  • 4.4. VENDOR LANDSCAPE
  • 4.5. VALUE CHAIN ANALYSIS
    • 4.5.1. DATA WAREHOUSE
    • 4.5.2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
    • 4.5.3. SOFTWARE DEVELOPMENT
  • 4.6. KEY BUYING CRITERIA
    • 4.6.1. APPLICATION
    • 4.6.2. TECHNOLOGY
    • 4.6.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
  • 4.7. REGULATORY FRAMEWORK

5. MARKET BY OFFERINGS

  • 5.1. HARDWARE
  • 5.2. SOFTWARE
  • 5.3. SERVICES

6. MARKET BY TECHNOLOGY

  • 6.1. DEEP LEARNING
  • 6.2. QUERYING METHOD
  • 6.3. NATURAL LANGUAGE PROCESSING
  • 6.4. CONTEXT AWARE PROCESSING

7. MARKET BY END-USER

  • 7.1. ACOS AND MCOS
  • 7.2. PATIENTS
  • 7.3. PAYERS
  • 7.4. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
  • 7.5. PROVIDERS

8. MARKET BY APPLICATION

  • 8.1. REAL-TIME MONITORING
  • 8.2. PRECISION MEDICINE
  • 8.3. PERSONAL HEALTH AND NURSING ASSISTANTS
  • 8.4. DRUG DEVELOPMENT AND DISCOVERY
  • 8.5. ROBOT-ASSISTED SURGERY
  • 8.6. ADMINISTRATIVE WORKFLOW ASSISTANCE
  • 8.7. CLINICAL TRIALS
  • 8.8. DIAGNOSTIC AND CLINICAL DECISION SUPPORT
  • 8.9. OTHERS

9. GEOGRAPHICAL ANALYSIS

  • 9.1. NORTH AMERICA
    • 9.1.1. UNITED STATES
    • 9.1.2. CANADA
  • 9.2. EUROPE
    • 9.2.1. UNITED KINGDOM
    • 9.2.2. GERMANY
    • 9.2.3. FRANCE
    • 9.2.4. ITALY
    • 9.2.5. RUSSIA
    • 9.2.6. BELGIUM
    • 9.2.7. POLAND
    • 9.2.8. REST OF EUROPE
  • 9.3. ASIA PACIFIC
    • 9.3.1. CHINA
    • 9.3.2. JAPAN
    • 9.3.3. INDIA
    • 9.3.4. SOUTH KOREA
    • 9.3.5. INDONESIA
    • 9.3.6. THAILAND
    • 9.3.7. VIETNAM
    • 9.3.8. AUSTRALIA & NEW ZEALAND
    • 9.3.9. REST OF ASIA PACIFIC
  • 9.4. REST OF WORLD
    • 9.4.1. LATIN AMERICA
    • 9.4.2. MIDDLE EAST & AFRICA

10. COMPANY PROFILES

  • 10.1. DEEP GENOMICS INC
  • 10.2. ENLITIC INC
  • 10.3. GE HEALTHCARE
  • 10.4. GENERAL VISION INC
  • 10.5. GOOGLE
  • 10.6. IBM CORPORATION
  • 10.7. ICARBONX
  • 10.8. INTEL CORPORATION
  • 10.9. MICROSOFT CORPORATION
  • 10.10. NEXT IT CORPORATION
  • 10.11. NVIDIA CORPORATION
  • 10.12. ONCORA MEDICAL
  • 10.13. RECURSION PHARMACEUTICALS INC
  • 10.14. STRYKER CORPORATION
  • 10.15. WELLTOK INC

LIST OF TABLES

  • TABLE 1: MARKET SNAPSHOT - ARTIFICIAL INTELLIGENCE IN HEALTHCARE
  • TABLE 2: REGULATORY FRAMEWORK
  • TABLE 3: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERINGS, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 4: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERINGS, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 5: GLOBAL HARDWARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 6: GLOBAL HARDWARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 7: GLOBAL SOFTWARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 8: GLOBAL SOFTWARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 9: GLOBAL SERVICES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 10: GLOBAL SERVICES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 11: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 12: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 13: GLOBAL DEEP LEARNING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 14: GLOBAL DEEP LEARNING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 15: GLOBAL QUERYING METHOD MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 16: GLOBAL QUERYING METHOD MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 17: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 18: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 19: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 20: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 21: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 22: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 23: GLOBAL ACOS AND MCOS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 24: GLOBAL ACOS AND MCOS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 25: GLOBAL PATIENTS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 26: GLOBAL PATIENTS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 27: GLOBAL PAYERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 28: GLOBAL PAYERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 29: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 30: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 31: GLOBAL PROVIDERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 32: GLOBAL PROVIDERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 33: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 34: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 35: GLOBAL REAL-TIME MONITORING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 36: GLOBAL REAL-TIME MONITORING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 37: GLOBAL PRECISION MEDICINE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 38: GLOBAL PRECISION MEDICINE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 39: GLOBAL PERSONAL HEALTH AND NURSING ASSISTANTS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 40: GLOBAL PERSONAL HEALTH AND NURSING ASSISTANTS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 41: GLOBAL DRUG DEVELOPMENT AND DISCOVERY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 42: GLOBAL DRUG DEVELOPMENT AND DISCOVERY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 43: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 44: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 45: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 46: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 47: GLOBAL CLINICAL TRIALS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 48: GLOBAL CLINICAL TRIALS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 49: GLOBAL DIAGNOSTIC AND CLINICAL DECISION SUPPORT MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 50: GLOBAL DIAGNOSTIC AND CLINICAL DECISION SUPPORT MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 51: GLOBAL OTHERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 52: GLOBAL OTHERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 53: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 54: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY GEOGRAPHY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 55: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 56: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 57: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 58: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 59: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 60: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
  • TABLE 61: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
  • TABLE 62: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

LIST OF FIGURES

  • FIGURE 1: TIMELINE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE
  • FIGURE 2: WORLDWIDE INTERNET USAGE IN MILLIONS & PER 100 INHABITANTS (2001-2019)
  • FIGURE 3: WORLDWIDE HEALTHCARE IOT DEVICE INSTALLATIONS
  • FIGURE 4: KEY INVESTMENT INSIGHTS
  • FIGURE 5: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 6: OPPORTUNITY MATRIX
  • FIGURE 7: VENDOR LANDSCAPE
  • FIGURE 8: VALUE CHAIN ANALYSIS OF AI IN HEALTHCARE MARKET
  • FIGURE 9: KEY BUYING CRITERIA
  • FIGURE 10: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERINGS, IN 2019
  • FIGURE 11: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY HARDWARE, 2020-2028 (IN $ MILLION)
  • FIGURE 12: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY SOFTWARE, 2020-2028 (IN $ MILLION)
  • FIGURE 13: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY SERVICES, 2020-2028 (IN $ MILLION)
  • FIGURE 14: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY TECHNOLOGY, IN 2019
  • FIGURE 15: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DEEP LEARNING, 2020-2028 (IN $ MILLION)
  • FIGURE 16: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY QUERYING METHOD, 2020-2028 (IN $ MILLION)
  • FIGURE 17: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2020-2028 (IN $ MILLION)
  • FIGURE 18: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2020-2028 (IN $ MILLION)
  • FIGURE 19: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019
  • FIGURE 20: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2020-2028 (IN $ MILLION)
  • FIGURE 21: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PATIENTS, 2020-2028 (IN $ MILLION)
  • FIGURE 22: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PAYERS, 2020-2028 (IN $ MILLION)
  • FIGURE 23: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2020-2028 (IN $ MILLION)
  • FIGURE 24: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PROVIDERS, 2020-2028 (IN $ MILLION)
  • FIGURE 25: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2019
  • FIGURE 26: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REAL-TIME MONITORING, 2020-2028 (IN $ MILLION)
  • FIGURE 27: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PRECISION MEDICINE, 2020-2028 (IN $ MILLION)
  • FIGURE 28: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PERSONAL HEALTH AND NURSING ASSISTANTS, 2020-2028 (IN $ MILLION)
  • FIGURE 29: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DRUG DEVELOPMENT AND DISCOVERY, 2020-2028 (IN $ MILLION)
  • FIGURE 30: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2020-2028 (IN $ MILLION)
  • FIGURE 31: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2020-2028 (IN $ MILLION)
  • FIGURE 32: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY CLINICAL TRIALS, 2020-2028 (IN $ MILLION)
  • FIGURE 33: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DIAGNOSTIC AND CLINICAL DECISION SUPPORT, 2020-2028 (IN $ MILLION)
  • FIGURE 34: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OTHERS, 2020-2028 (IN $ MILLION)
  • FIGURE 35: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 36: UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 37: CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 38: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 39: UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 40: GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 41: FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 42: ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 43: RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 44: BELGIUM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 45: POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 46: REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 47: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 48: CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 49: JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 50: INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 51: SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 52: INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 53: THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 54: VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 55: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 56: REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION
  • FIGURE 57: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
  • FIGURE 58: LATIN AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)
  • FIGURE 59: MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)