表紙:遠隔医療:新興技術・地域別準備・市場予測:2021年~2025年
市場調査レポート
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1005587

遠隔医療:新興技術・地域別準備・市場予測:2021年~2025年

Telemedicine: Emerging Technologies, Regional Readiness & Market Forecasts 2021-2025

出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

価格
価格表記: GBPを日本円(税抜)に換算
本日の銀行送金レート: 1GBP=153.58円
遠隔医療:新興技術・地域別準備・市場予測:2021年~2025年
出版日: 2021年05月10日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、急成長中の遠隔医療市場に関する最先端の分析を提供します。遠隔医療の将来に拍車をかけているテクノロジーと、主要促進要因に関する戦略的考察を提供するとともに、世界の遠隔医療の採用、イノベーション、ダイナミクスの程度について評価します。

レポートには、以下が含まれます。

  • 詳細戦略・予測 (PDF)
  • 5年間の詳細データ・予測 (PDF)
  • エグゼクティブサマリー・主な調査結果 (PDF)
  • オンラインデータプラットフォームの利用 (12ヶ月間)

目次

詳細戦略・競合

第1章 遠隔医療:技術概要・市場力学

  • イントロダクション
  • 定義・調査範囲
  • EHR (電子カルテ)
  • eICU
  • 医療用チャットボット
  • 遠隔患者モニタリング
  • 手術用ロボット
  • 遠隔医療相談

第2章 遠隔医療:地域別準備・国別分析

  • イントロダクション
  • 地域別準備指数
  • 地域別分析

第3章 遠隔医療:競合情勢

  • イントロダクション
  • ベンダー評価
  • ベンダープロファイル
    • Adherium
    • Amwell
    • Babylon Health
    • Cerner
    • Cisco
    • Epic
    • GYANT
    • Intuitive Surgical
    • Kareo
    • Medtronic
    • my mhealth
    • Philips Healthcare
    • QliqSOFT
    • Teladoc
    • WeDoctor

詳細データ・予測

第1章 EHR:市場予測

  • イントロダクション
  • 予測手法
  • 市場予測

第2章 eICU:市場予測

  • イントロダクション
  • 予測調査手法
  • 市場予測

第3章 医療用チャットボット:市場予測

  • イントロダクション
  • 予測手法
  • 市場予測

第4章 遠隔患者モニタリング:市場予測

  • イントロダクション
  • 予測手法
  • リモート患者モニタリング:市場の概要
  • 心臓モニタリング:市場予測
  • 糖尿病のモニタリング:市場予測

第5章 手術用ロボット:市場予測

  • イントロダクション
  • 予測手法
  • 市場予測

第6章 遠隔医療相談:市場予測

  • イントロダクション
  • 予測手法
  • 市場予測
目次

Juniper Research's latest “Telemedicine ” report offers a cutting-edge analysis of the fast-growing telemedicine market; providing strategic insights into the technologies and key drivers that are spurring the future of telemedicine, as well as appraising the extent of global telemedicine adoption, innovation, and dynamics.

This essential guide covers a wide variety of market segments:

  • EHRs (Electronic Health Records)
  • eICUs
  • Healthcare Chatbots
  • Remote Monitoring
  • Surgical Robotics
  • Teleconsultations

This research suite includes:

  • Deep Dive Strategy & Competition (PDF)
  • 5-year Deep Dive Data & Forecasting (PDF)
  • Executive Summary & Core Findings (PDF)
  • 12 Months' Access to harvest Online Data Platform

KEY FEATURES

  • Market Dynamics: An incisive analysis of the major drivers and challenges shaping the adoption and development of telemedicine technologies, covering:
    • Technological innovations that are enhancing the value of telemedicine
    • Key issues vendors must address if widespread adoption of telemedicine is to be achieved
  • Regional Readiness Analysis: An all-encompassing exploration of global telemedicine adoption at individual country levels, covering:
    • Healthcare initiatives and population health pressures that are driving telemedicine adoption
    • Social, regulatory, and technical factors that are helping (or hindering) telemedicine adoption as well as any changes that occurred as a result of the COVID-19 pandemic
  • Competitive Landscape: An in-depth assessment of the key players offering telemedicine solutions and products, covering:
    • Strengths and weaknesses of these players' business models
    • Industry experiences and assets that are collectively supporting adoption of their telemedicine services and products by different healthcare providers, markets, and/or regions
  • Benchmark Industry Forecasts: Our forecasts for telemedicine market size and growth, including:
    • Number of People with an EHR
    • Total Capital & Operational Spend by Healthcare Businesses on EHRs
    • Net Cost Savings for Healthcare Businesses Using EHRs
    • Number of eICU Beds
    • Total Capital & Operational Spend by Healthcare Businesses on eICUs
    • Number of Successful Healthcare Chatbot Interactions
    • Total Time Saved for People Using Healthcare Chatbots
    • Total Time Saved for Healthcare Businesses Using Healthcare Chatbots
    • Total Cost Savings for Healthcare Businesses Using Healthcare Chatbots
    • Number of Patients with Chronic Conditions that Are Adopting Remote Monitoring
    • Total Annual Revenue from All Remote Monitored Patients
    • Number of Deployed Surgical Robotics Units
    • Total Capital & Operational Spend on Surgical Robotics
    • Number of People Adopting Teleconsultation Services
    • Number of Teleconsultations Performed
    • Total Annual Spend on Teleconsultation Services
    • Total Cost Savings by Patients Using Teleconsultation Services over In-person Healthcare
  • Juniper Research Leaderboard: 15 players offering telemedicine solutions and products compared, scored, and positioned on the Juniper Research Leaderboard, including:
    • Adherium
    • Amwell
    • Babylon Health
    • Cerner
    • Cisco
    • Epic
    • GYANT
    • Intuitive Surgical
    • Kareo
    • Medtronic
    • my mhealth
    • Philips Healthcare
    • QliqSOFT
    • Teladoc
    • WeDoctor

KEY QUESTIONS

  • 1. What are the key technologies in the telemedicine space and how might these evolve?
  • 2. What are the specific telemedicine trends, drivers, and challenges impacting the telemedicine market?
  • 3. How has COVID-19 affected the adoption and regulation of telemedicine?
  • 4. What is the global extent of telemedicine adoption and how does this vary between regions?
  • 5. Who are the key movers, shakers, and vendors in the telemedicine space?

COMPANIES REFERENCED

  • Interviewed: Vida Health.
  • Included in the Juniper Research Leaderboard: Adherium, Amwell, Babylon Health, Cerner, Cisco, Epic, Gyant, Intuitive Surgical, Kareo, Medtronic, my mhealth, Philips Healthcare, QliqSOFT, Teladoc, WeDoctor.
  • Mentioned: AbleVets, ACRRM (Australian College of Rural and Remote Medicine), Advance Medical, AIA, Aligned Telehealth, AMA (Australian Medical Association), Amazon, Apple, AstraZeneca, Avant Mutual, Avenu Medical, Banner Health, BioIntelliSense, BioTelemetry, Blackstone Life Sciences, Bookdoc, Breezometer, Capsule Technologies, Carestream Health, Cedars-Sinai Medical Center, Central Administration of the Health System, Centrillion Technologies, China International Exchange and Promotion Association for Medical and Healthcare, CHRISTUS Health, CIHR (Canadian Institutes of Health Research), Cleveland Clinic, Cloudbreak Health, CMS (Centers for Medicare & Medicaid Services), COMPACCS (Committee on Manpower for Pulmonary and Critical Care Societies), Companion Medical, CompuGroup Medical, Computer Motion, CPSI, CQC (Care Quality Commission), CWHA (CommonWell Health Alliance), DEA (Drug Enforcement Administration), Dexcom, DHCE (Digital Health Center of Excellence), DHHS (Department of Health and Human Services), Digital Surgery, DocsApp, DoctorBase, ECCO Health, eConsult, Elligo Health Research, Facebook, FDA (Food and Drug Administration), Federal Compulsory Medical Insurance Fund, Florida Blue, Foxconn, German Medical Association, GMC (General Medical Council), Golub Capital, Google, Greenspring, GSK, Hackensack Meridian Health, HGE Health, Humana, idsMED, Indiana University Kelley School of Business, Innovate UK , Instituto Mexicano del Seguro Social, Intact Vascular, Intel, Japanese Medical Association, John Hancock, John Hopkins Hospital, Kantar Group, Kyruus, Livongo, Madrid Medical Association, Mazor, Médaviz, Medcare, MédecinDirect, Medicrea, MGMA (Medical Group Management Association) , Microsoft, Ministry of Health, Ministry of Health, Labour, and Welfare, MLK Community Healthcare, Monaghan, Montreux, National TeleHealth Center, NHC (National Health Commission), NHS (National Health Service), NHSA (National Healthcare Security Administration), NICE (National Institute for Health and Care Excellence), NTT, Nuance, OMC (Organización Médical Colegial), ONC (Office of the National Coordinator for Health Information), Orpheus Medical, Ping An Good Doctor, Planet Innovation, Practo, Public Investment Fund of Saudi Arabia, RACGP (Royal Australian College of General Practitioners), RamSoft, RDAA (Rural Doctors Association of Australia), Royal Wolverhampton NHS Trust, Schölly Fiberoptic, Sehha, Servico Nacional de Saude, Siriraj Hospital, Skype, SpaceX, State Secretariat for Digitalisation and Artificial Intelligence, Stimgenics, Stripes, Tampa General Hospital, The National Labor Alliance, The Rural Broadband Association, Tyto Care, UC Davis Medical Center, UnitedHealthcare, University of Washington, US Army Medical Research and Development Command, US Congressional Budget Office, US Department of Veterans Affairs, US Health Resources & Services Administration, Virginia Department of Behavioral Health and Developmental Services, WeChat, WELL Health, Westinghouse Electric Corporation, WhatsApp, Wing Venture Capital, Xealth, Zipnosis, Zoom.

DATA & INTERACTIVE FORECAST

Juniper Research's “Telemedicine ” forecast suite includes:

  • 5-year benchmark forecasts for:
    • Number of Patients Using Telemedicine
    • Number of Devices Deployed
    • Total Capital Spend
    • Total Operational Spend
    • Time Savings for Patients
    • Time Savings for Healthcare Businesses
    • Cost Savings for Healthcare Businesses (Gross & Net)
  • Data splits for 8 key global regions and 19 select countries:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • France
    • Germany
    • India
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Portugal
    • Saudi Arabia
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Access to the full set of forecast data of 135 tables and over 18,300 datapoints
  • Interactive Excel Scenario tool allowing users to manipulate Juniper Research's data for 32 different metrics

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side-by-side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Deep Dive Strategy & Competition

1. Telemedicine: Technology Overview & Market Dynamics

  • 1.1 Introduction
  • 1.2 Definitions & Research Scope
  • 1.3 EHRs (Electronic Health Records)
    • 1.3.1 Market Drivers
      • i. Increased Efficiency & Cost Savings for Providers
      • ii. Improved Standard of Patient Care
      • iii. Increasing Popularity of Voice Assistants
      • iv. Integration with Wearables
    • 1.3.2 Market Constraints
      • i. Interoperability with Other EHR Systems
      • ii. Resistance by Physicians
  • 1.4 eICUs
    • 1.4.1 Market Drivers
      • i. Improved Standard of Patient Care
      • ii. Financial Benefits for Providers
      • iii. Advantages of Predictive AI
    • 1.4.2 Market Constraints
      • i. Significant Costs & Technical Infrastructure
  • 1.5 Healthcare Chatbots
    • 1.5.1 Market Drivers
      • i. Improved Provider Efficiency & Patient Care
      • ii. Cost Savings & Increased Revenue
      • iii. Brand Identity & Personalisation
    • 1.5.2 Market Constraints
      • i. Suitability of AI as a Diagnostic Tool
      • ii. Complexity & the Uncanny Valley
  • 1.6 Remote Patient Monitoring
    • 1.6.1 Market Drivers
      • i. Increased Provider Efficiency
      • ii. Improved Standard of Patient Care
      • iii. Provision of Healthcare to Underrepresented & Vulnerable Populations
    • 1.6.2 Market Constraints
      • i. Difficulty of Obtaining Reimbursement
      • ii. Accessibility Requirements
  • 1.7 Surgical Robotics
    • 1.7.1 Market Drivers
      • i. Reduced Surgical Complications & Healing Time
      • ii. Untapped Potential of AI
      • iii. Increased Access to Surgical Care
    • 1.7.2 Market Constraints
      • i. High-level of Capital & Operational Costs
      • ii. Requirements for Technical Infrastructure
  • 1.8 Teleconsultations
    • 1.8.1 Market Drivers
      • i. Improved Standard of Patient Care
      • ii. Provision of Healthcare to Underrepresented & Vulnerable Populations
      • iii. Reduced Healthcare Costs
    • 1.8.2 Market Constraints
      • i. Accessibility & Affordability

2. Telemedicine: Regional Readiness & Country Analysis

  • 2.1 Introduction
  • 2.2 Regional Readiness Index
    • 2.2.1 Scoring Criteria
      • Table 2.1: Scoring Criteria for Telemedicine Regional Readiness Index 2021
      • Table 2.2: Telemedicine Regional Readiness Index Scoring Summary 2021
      • Figure 2.3: Telemedicine Regional Readiness Index 2021
      • Figure & Table 2.4: Telemedicine Regional Readiness Index Positioning
  • 2.3 Regional Analysis
    • 2.3.1 North America
      • i. US
        • Table 2.5: Key Health Metrics - US
        • Table 2.6: Telemedicine Implementation Ranking - US
      • ii. Canada
        • Table 2.7: Key Health Metrics - Canada
        • Table 2.8: Telemedicine Implementation Ranking - Canada
    • 2.3.2 Latin America
      • i. Brazil
        • Table 2.9: Key Health Metrics - Brazil
        • Table 2.10: Telemedicine Implementation Ranking - Brazil
      • ii. Mexico
        • Table 2.11: Key Health Metrics - Mexico
        • Table 2.12: Telemedicine Implementation Ranking - Mexico
    • 2.3.3 Europe
      • i. Denmark
        • Table 2.13: Key Health Metrics - Denmark
        • Table 2.14: Telemedicine Implementation Ranking - Denmark
      • ii. France
        • Table 2.15: Key Health Metrics - France
        • Table 2.16: Telemedicine Implementation Ranking - France
      • iii. Germany
        • Table 2.17: Key Health Metrics - Germany
        • Table 2.18: Telemedicine Implementation Ranking - Germany
      • iv. The Netherlands
        • Table 2.19: Key Health Metrics - The Netherlands
        • Table 2.20: Telemedicine Implementation Ranking - The Netherlands
      • v. Norway
        • Table 2.21: Key Health Metrics - Norway
        • Table 2.22: Telemedicine Implementation Ranking - Norway
      • vi. Portugal
        • Table 2.23: Key Health Metrics - Portugal
        • Table 2.24: Telemedicine Implementation Ranking - Portugal
      • vii. Russia
        • Table 2.25: Key Health Metrics - Russia
        • Table 2.26: Telemedicine Implementation Ranking - Russia
      • viii. Spain
        • Table 2.27: Key Health Metrics - Spain
        • Table 2.28: Telemedicine Implementation Ranking - Spain
      • ix. Sweden
        • Table 2.29: Key Health Metrics - Sweden
        • Table 2.30: Telemedicine Implementation Ranking - Sweden
      • x. UK
        • Table 2.31: Key Health Metrics - UK
        • Table 2.32: Telemedicine Implementation Ranking - UK
    • 2.3.4 Far East & China
      • i. China
        • Table 2.33: Key Health Metrics - China
        • Table 2.34: Telemedicine Implementation Ranking - China
      • ii. Japan
        • Table 2.35: Key Health Metrics - Japan
        • Table 2.36: Telemedicine Implementation Ranking - Japan
      • iii. South Korea
        • Table 2.37: Key Health Metrics - South Korea
        • Table 2.38: Telemedicine Implementation Ranking - South Korea
    • 2.3.5 Indian Subcontinent
      • i. India
        • Table 2.39: Key Health Metrics - India
        • Table 2.40: Telemedicine Implementation Ranking - India
    • 2.3.6 Rest of Asia Pacific
      • i. Australia
        • Table 2.41: Key Health Metrics - Australia
        • Table 2.42: Telemedicine Implementation Ranking - Australia
    • 2.3.7 Africa & Middle East
      • i. Saudi Arabia
        • Table 2.43: Key Health Metrics - Saudi Arabia
        • Table 2.44: Telemedicine Implementation Ranking - Saudi Arabia

3. Telemedicine: Competitive Landscape

  • 3.1 Introduction
  • 3.2 Vendor Assessment
    • 3.2.1 Vendor Assessment Criteria
      • Table 3.1: Capability Assessment Criteria for Telemedicine Vendors
      • Figure 3.2: Juniper Research Leaderboard for Telemedicine Vendors
      • Table 3.3: Juniper Research Leaderboard Scoring Matrix: Capability & Capacity vs Product & Position
    • 3.2.2 Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 3.2.3 Limitations & Interpretation
  • 3.3 Vendor Profiles
    • 3.3.1 Adherium
      • i. Corporate
        • Table 3.4: Adherium Financial Snapshot ($m), FY 2018-2020 (FYE 30 June)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.5: Hailie Sensors, App, and Patient Portal
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.2 Amwell
      • i. Corporate
        • Figure 3.6: Amwell Financial Snapshot ($m), FY 2018-2020 (FYE 31 Dec)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.7: Amwell C760 and C500 Telemedicine Carts
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.3 Babylon Health
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.4 Cerner
      • i. Corporate
        • Table 3.8: Cerner Financial Snapshot ($m), FY 2018-2020 (FYE 31 December)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.5 Cisco
      • i. Corporate
        • Table 3.9: Cisco Financial Snapshot ($m), FY 2018-2020 (FYE 25 July)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.6 Epic
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.7 GYANT
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.10: Gyant's SERA Chatbot
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.8 Intuitive Surgical
      • i. Corporate
        • Table 3.11: Intuitive Surgical Financial Snapshot ($m), FY 2018-2020 (FYE 31 December)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.12: Intuitive Surgical's da Vinci Xi System
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.9 Kareo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Key Strengths & Strategic Opportunities
    • 3.3.10 Medtronic
      • i. Corporate
        • Table 3.13: Medtronic Financial Snapshot ($m), FY 2018-2020 (FYE 30 April)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.11 my mhealth
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.12 Philips Healthcare
      • i. Corporate
        • Table 3.14: Philips Healthcare Financial Snapshot ($m), FY 2018-2020 (FYE 31 December)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.15: Philips' Portable Medical Tablet
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.13 QliqSOFT
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.16: Qliqsoft's 'Suki' Virtual Digital Assistant
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.14 Teladoc
      • i. Corporate
        • Table 3.17: Teladoc Financial Snapshot ($m), FY 2018-2020 (FYE 31 December)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 3.3.15 WeDoctor
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 3.18: WeDoctor's 'WeDoctor Tong' Medical Smart Speaker
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • Endnotes

Deep Dive Data & Forecasting

1. EHRs: Market Forecasts

  • 1.1 Introduction
  • 1.2 Forecast Methodology
    • Figure 1.1: EHRs Forecast Methodology
  • 1.3 Market Forecasts
    • 1.3.1 Number of People with EHRs
      • Figure & Table 1.2: Number of People with EHRs (m), Split by 8 Key Regions, 2020-2025
    • 1.3.2 Gross Cost Savings for Healthcare Businesses Using EHRs
      • Figure & Table 1.3: Gross Cost Savings for Healthcare Businesses Using EHRs ($m), Split by 8 Key Regions, 2020-2025
    • 1.3.3 Total Capital Spend by Healthcare Businesses Using EHRs
      • Figure & Table 1.4: Total Capital Spend by Healthcare Businesses Using EHRs ($m), Split by 8 Key Regions, 2020-2025
    • 1.3.4 Total Operational Spend by Healthcare Businesses Using EHRs
      • Figure & Table 1.5: Total Operational Spend by Healthcare Businesses Using EHRs ($m), Split by 8 Key Regions, 2020-2025
    • 1.3.5 Total EHR Spend by Healthcare Businesses
      • Figure & Table 1.6: Total EHR Spend by Healthcare Businesses ($m), Split by 8 Key Regions, 2020-2025
    • 1.3.6 Net Cost Savings for Healthcare Businesses Using EHRs
      • Figure & Table 1.7: Net Cost Savings for Healthcare Businesses Using EHRs ($m), Split by 8 Key Regions, 2020-2025

2. eICUs: Market Forecasts

  • 2.1 Introduction
  • 2.2 Forecast Methodology
    • Figure 2.1: eICUs Forecast Methodology
  • 2.3 Market Forecasts
    • 2.3.1 Number of eICU Beds
      • Figure & Table 2.2: Number of eICU Beds, Split by 8 Key Regions, 2020-2025
    • 2.3.2 Total Capital Spend by Healthcare Businesses Using eICUs
      • Figure & Table 2.3: Total Capital Spend by Healthcare Businesses Using eICUs ($m), Split by 8 Key Regions, 2020-2025
    • 2.3.3 Total Operational Spend by Healthcare Businesses Using eICUs
      • Figure & Table 2.4: Total Operational Spend by Healthcare Businesses Using eICUs ($m), Split by 8 Key Regions, 2020-2025
    • 2.3.4 Total Spend by Healthcare Businesses Using eICUs
      • Figure & Table 2.5: Total Spend by Healthcare Businesses Using eICUs ($m), Split by 8 Key Regions, 2020-2025

3. Healthcare Chatbots: Market Forecasts

  • 3.1 Introduction
  • 3.2 Forecast Methodologies
    • 3.2.1 Discrete Chatbots
    • 3.2.2 Messaging Chatbots
    • 3.2.3 Web-based Chatbots
      • Figure 3.1: Discrete Chatbots Forecast Methodology
      • Figure 3.2: Messaging Chatbots Forecast Methodology
      • Figure 3.3: Web-based Chatbots Forecast Methodology
  • 3.3 Market Forecasts
    • 3.3.1 Number of Successful Healthcare Chatbot Interactions
      • Figure & Table 3.4: Total Number of Successful Healthcare Chatbot Interactions (m), Split by 8 Key Regions, 2020-2025
    • 3.3.2 Total Time Saved for People Using Healthcare Chatbots
      • Figure & Table 3.5: Total Time Saved for People Using Healthcare Chatbots (Million Hours), Split by 8 Key Regions, 2020-2025
    • 3.3.3 Total Time Saved for Healthcare Businesses Using Healthcare Chatbots
      • Figure & Table 3.6: Total Time Saved for Healthcare Businesses Using Healthcare Chatbots (Million Hours), Split by 8 Key Regions, 2020-2025
    • 3.3.4 Total Cost Savings for Healthcare Businesses Using Healthcare Chatbots
      • Figure & Table 3.7: Total Cost Savings for Healthcare Businesses Using Healthcare Chatbots ($m), Split by 8 Key Regions, 2020-2025

4. Remote Patient Monitoring: Market Forecasts

  • 4.1 Introduction
  • 4.2 Forecast Methodologies
    • Figure 4.1: Remote Cardiac Patient Monitoring Forecast Methodology
    • Figure 4.2: Remote Diabetes Patient Monitoring Forecast Methodology
  • 4.3 Remote Patient Monitoring: Market Summary
    • 4.3.1 Number of Patients Using Remote Patient Monitoring
      • Figure & Table 4.3: Total Number of Patients Using Remote Patient Monitoring (m), Split by 8 Key Regions, 2020-2025
    • 4.3.2 Total Annual Revenue from All Remote Monitored Patients
      • Figure & Table 4.4: Total Revenue from All Remote Monitored Patients ($m), Split by 8 Key Regions, 2020-2025
  • 4.4 Cardiac Monitoring: Market Forecasts
    • 4.4.1 Number of Cardiac Patients Using Remote Patient Monitoring
      • Figure & Table 4.5: Total Number of Cardiac Patients Using Remote Patient Monitoring (m), Split by 8 Key Regions, 2020-2025
    • 4.4.2 Total Annual Revenue from All Remote Monitored Cardiac Patients
      • Figure & Table 4.6: Total Revenue from All Remote Monitored Cardiac Patients ($m), Split by 8 Key Regions, 2020-2025
  • 4.5 Diabetes Monitoring: Market Forecasts
    • 4.5.1 Number of Diabetes Patients Adopting Remote Patient Monitoring
      • Figure & Table 4.7: Number of Diabetes Patients Adopting Remote Patient Monitoring (m), Split by 8 Key Regions, 2020-2025
    • 4.5.2 Total Annual Revenue from All Monitored Diabetes Patients
      • Figure & Table 4.8: Total Annual Revenue from All Monitored Diabetes Patients (m), Split by 8 Key Regions, 2020-2025

5. Surgical Robotics: Market Forecasts

  • 5.1 Introduction
  • 5.2 Forecast Methodology
    • Figure 5.1: Surgical Robotics Forecast Methodology
  • 5.3 Market Forecasts
    • 5.3.1 Number of Deployed Surgical Robotics Units
      • Figure & Table 5.2: Total Number of Deployed Surgical Robotics Units, Split by 8 Key Regions, 2020-2025
    • 5.3.2 Number of Surgeries Performed by Surgical Robotics Units
      • Figure & Table 5.3: Number of Surgeries Performed by Surgical Robotics Units (m), Split by 8 Key Regions, 2020-2025
    • 5.3.3 Total Capital Spend on Outright Purchased Surgical Robotics Units
      • Figure & Table 5.4: Total Capital Spend on Outright Purchased Surgical Robotics Units ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.4 Total Operational Spend on Surgical Robotics Units
      • Figure & Table 5.5: Total Operational Spend on Surgical Robotics Units ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.5 Number of Deployed Surgical Robotics Units That Are Leased
      • Figure & Table 5.6: Number of Deployed Surgical Units That Are Leased, Split by 8 Key Regions, 2020-2025
    • 5.3.6 Total Spend on Leased Surgical Robotics Units
      • Figure & Table 5.7: Total Spend on Leased Surgical Robotics Units ($m), Split by 8 Key Regions, 2020-2025
    • 5.3.7 Total Spend by Healthcare Businesses on Surgical Robotics
      • Figure & Table 5.8: Total Spend by Healthcare Businesses Using Surgical Robotics ($m), Split by 8 Key Regions, 2020-2025

6. Teleconsultations: Market Forecasts

  • 6.1 Introduction
  • 6.2 Forecast Methodology
    • Figure 6.1: Teleconsultations Forecast Methodology
  • 6.3 Market Forecasts
    • 6.3.1 Number of People Using Teleconsultation Services
      • Figure & Table 6.2: Number of People Using Teleconsultation Services (m), Split by 8 Key Regions, 2020-2025
    • 6.3.2 Number of Teleconsultations
      • Figure & Table 6.3: Number of Teleconsultations (m), Split by 8 Key Regions, 2020-2025
    • 6.3.3 Total Spend on Teleconsultation Services
      • Figure & Table 6.4: Total Spend on Teleconsultation Services ($m), Split by 8 Key Regions, 2020-2025
    • 6.3.4 Total Cost Savings for Patients Using Teleconsultation Services
      • Figure & Table 6.5: Total Cost Savings for Patients Using Teleconsultation Services ($m), Split by 8 Key Regions, 2020-2025