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市場調查報告書
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1542875

全球人工智慧遠距醫療市場 - 2024-2031

Global AI in Telemedicine Market - 2024-2031

出版日期: | 出版商: DataM Intelligence | 英文 176 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

2023年,全球人工智慧遠距醫療市場規模達到148億美元,預計到2031年將達到918億美元,2024-2031年預測期間複合年成長率為26.7%。

遠距醫療中的人工智慧為醫療保健提供者和患者提供了廣泛的新選擇。人工智慧透過提高診斷準確性、實現遠端患者監控、分析醫學影像、提供虛擬分流或醫療諮詢服務等來改善遠距醫療。它提高了遠距醫療服務的效率、可近性和品質。

它為醫療保健提供者提供數據驅動的見解和決策能力,使他們能夠提供更有效率和個人化的照護。它還可以根據患者的個別特徵量身定做治療計劃,從而獲得更好的結果。

市場動態:

驅動程式和限制

人工智慧技術的進步

人工智慧技術的不斷進步預計將成為市場成長的重要促進因素。增強的診斷應用程式和功能可以比傳統方法更快、更準確地分析醫療資料,預計將在遠距醫療中採用人工智慧。

例如,2023 年 9 月 27 日,HealthTap 推出了新版本的 Dr.AI 功能,這是由 GPT-4 支援的預約患者訪談體驗。 OpenAI 最先進的 ChatGPT 系統 GPT-4 是一種能夠進行類人對話的人工智慧語言模型。艾博士

例如,2024 年6 月,C3 Med-Tech 從Industrial Metal Powders 獲得一筆金額未披露的資金,用於推出新型遠距醫療和人工智慧(AI) 功能的攜帶式設備,以實現順利、快速的眼科檢查和即時檢測眼部疾病。因此,不斷成長的技術進步預計將推動市場成長。

高額費用

實施人工智慧遠距醫療的成本可能很高,尤其是在財政資源很少的情況下。建造和維護技術和基礎設施以及培訓和補償員工的費用可能是巨大的。因此,上述因素可能會抑制市場的成長。

細分市場分析

全球遠距醫療市場人工智慧根據產品、流程、應用和地區進行細分。

資料分析領域預計將主導市場佔有率

人工智慧利用先前的資訊來預測患者的結果和可能的健康風險,從而可以進行預防性干預和更好的資源分配。數據分析有助於最佳化遠距醫療系統中的工作流程和資源管理,降低成本並增強服務交付。

遠距醫療平台可以根據個人的病史、遺傳和生活方式為他們制定個人化的治療方案,從而獲得更好的結果。人工智慧驅動的資料分析透過分析大量患者資料、識別趨​​勢並提供有關患者護理的見解,幫助醫療保健提供者做出更好的決策。

市場地理分析

北美預計在人工智慧遠距醫療市場佔有率中佔據重要地位

該地區擁有完善的技術基礎設施,可在醫療保健領域開發和實施人工智慧解決方案。醫療保健專業人員和患者越來越接受和整合遠距醫療技術,COVID-19 疫情加速了這一趨勢。

北美擁有豐富的醫療資料,這對於訓練人工智慧模型並提高其診斷和治療患者的準確性至關重要。許多醫療機構正在與科技公司建立合作夥伴關係,以創建和改進人工智慧驅動的遠距醫療解決方案,從而促進市場成長。

目錄

第 1 章:方法與範圍

第 2 章:定義與概述

第 3 章:執行摘要

第 4 章:動力學

  • 影響因素
    • 促進要素
      • 人工智慧技術的進步
    • 限制
      • 高額開支
    • 機會
    • 影響分析

第 5 章:產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析
  • 報銷分析
  • 專利分析
  • SWOT分析
  • DMI 意見

第 6 章:依產品

  • 軟體
  • 服務

第 7 章:按流程

  • 數據分析
  • 影像辨識
  • 自然語言處理
  • 虛擬諮詢

第 8 章:按申請

  • 虛擬健康助理和聊天機器人
  • 遠端監控和預測分析
  • 診斷和醫學影像
  • 藥物依從性和治療計劃
  • 遠距會診增強
  • 其他

第 9 章:按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第 10 章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 11 章:公司簡介

  • Intel Corporation
    • 公司概況
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Chetu Inc.
  • TiaTech Health Technologies
  • ValueCoders
  • LeewayHertz
  • Vonage Holdings Corp.
  • Caption Health, Inc.
  • Corti HQ
  • Biobeat Technologies
  • Owkin, Inc (*LIST NOT EXHAUSTIVE)

第 12 章:附錄

簡介目錄
Product Code: HCIT8594

Overview

Global AI in Telemedicine Market reached US$ 14.8 billion in 2023 and is expected to reach US$ 91.8 billion by 2031, growing at a CAGR of 26.7% during the forecast period 2024-2031.

AI in telemedicine a wide range of new options for both healthcare providers and patients. AI improves telemedicine by enhancing diagnostic accuracy, enabling remote patient monitoring, analyzing medical images, providing virtual triage or medical consulting services, and more. It boosts the efficiency, accessibility, and quality of telemedicine services.

It empowers healthcare providers with data-driven insights and decision-making capabilities, enabling them to deliver more efficient and personalized care. It also enables tailored treatment plans based on individual patient characteristics, leading to better outcomes.

Market Dynamics: Drivers & Restraints

Advancements in AI Technology

Rising advancements in AI technology are expected to be a significant driving factor for market growth. The enhanced diagnostic applications and capabilities that can analyze medical data more quickly and accurately than traditional methods are expected to adopt AI in telemedicine.

For instance, on September 27, 2023, HealthTap launched a new version of its Dr.A.I. feature, a pre-appointment patient interview experience powered by GPT-4. The most advanced ChatGPT system from OpenAI, GPT-4 is an artificial intelligence language model capable of human-like conversation. Dr.A.I.

For instance, in June 2024, C3 Med-Tech secured an undisclosed amount from Industrial Metal Powders to launch new telemedicine and artificial intelligence (AI)-enabled portable equipment for smooth and quick eye checkups and detecting eye diseases in real-time. Thus, the increasing technological advancements are expected to drive the market growth.

High Expenses

Implementing AI-enabled telemedicine can be costly, especially in circumstances where financial resources are only a few. The expenses of building and maintaining the technology and infrastructure, as well as training and compensating employees, can be huge. Thus, the above factors could restrain the market growth.

Market Segment Analysis

The global AI in telemedicine market is segmented based on product, process, application and region.

The data analysis segment is expected to dominate the market share

AI utilizes previous information to predict patient outcomes and possible health risks, allowing for preventative interventions and better resource allocation. Data analysis can help to optimize workflow and resource management in telemedicine systems, lowering costs and enhancing service delivery.

Telemedicine platforms can personalize treatment programs for individuals based on their medical history, genetics, and lifestyle, resulting in better outcomes. AI-powered data analysis helps healthcare providers make better decisions by analyzing large volumes of patient data, recognizing trends, and providing insights into patient care.

Market Geographical Analysis

North America is expected to hold a significant position in the AI in telemedicine market share

The region has a well-established technological infrastructure that allows the development and implementation of AI solutions in healthcare. Healthcare professionals and patients are increasingly accepting and integrating telemedicine technology, which has been accelerated by the COVID-19 epidemic.

North America has a wealth of healthcare data, which is essential for training AI models and improving their accuracy in diagnosing and treating patients. Many healthcare institutions are creating partnerships with technology companies to create and improve AI-powered telemedicine solutions, hence increasing market growth.

Market Segmentation

By Product

Software

Services

By Process

Data Analysis

Image Recognition

Natural Language Processing

Virtual Consultations

By Application

Virtual Health Assistants and Chatbots

Remote Monitoring and Predictive Analysis

Diagnostics and Medical Imaging

Medication Adherence and Treatment Plans

Teleconsultation Enhancement

Others

By Region

North America

The U.S.

Canada

Mexico

Europe

Germany

UK

France

Italy

Spain

Rest of Europe

South America

Brazil

Argentina

Rest of South America

Asia-Pacific

China

India

Japan

Australia

Rest of Asia-Pacific

Middle East and Africa

Market Competitive Landscape

The major global players in the market include Intel Corporation, Chetu Inc., TiaTech Health Technologies, ValueCoders, LeewayHertz, Vonage Holdings Corp., Caption Health, Inc., Corti HQ, Biobeat Technologies, and Owkin, Inc. among others.

Why Purchase the Report?

To visualize the global AI in telemedicine market segmentation based on product, process, application, and region as well as understand key commercial assets and players.

Identify commercial opportunities by analyzing trends and co-development.

Excel data sheet with numerous data points of AI in telemedicine market-level with all segments.

PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.

Product mapping available as Excel consisting of key products of all the major players.

The global AI in telemedicine market report would provide approximately 53 tables, 47 figures and 176 pages.

Target Audience 2024

Manufacturers/ Buyers

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Product
  • 3.2. Snippet by Process
  • 3.3. Snippet by Application
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Advancements in AI Technology
    • 4.1.2. Restraints
      • 4.1.2.1. In High Expenses
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Reimbursement Analysis
  • 5.6. Patent Analysis
  • 5.7. SWOT Analysis
  • 5.8. DMI Opinion

6. By Product

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
    • 6.1.2. Market Attractiveness Index, By Product
  • 6.2. Software*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Services

7. By Process

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
    • 7.1.2. Market Attractiveness Index, By Process
  • 7.2. Data Analysis*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Image Recognition
  • 7.4. Natural Language Processing
  • 7.5. Virtual Consultations

8. By Application

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 8.1.2. Market Attractiveness Index, By Application
  • 8.2. Virtual Health Assistants and Chatbots*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Remote Monitoring and Predictive Analysis
  • 8.4. Diagnostics and Medical Imaging
  • 8.5. Medication Adherence and Treatment Plans
  • 8.6. Teleconsultation Enhancement
  • 8.7. Others

9. By Region

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 9.1.2. Market Attractiveness Index, By Region
  • 9.2. North America
    • 9.2.1. Introduction
    • 9.2.2. Key Region-Specific Dynamics
      • 9.2.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
      • 9.2.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
      • 9.2.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.2.3.1. U.S.
      • 9.2.3.2. Canada
      • 9.2.3.3. Mexico
  • 9.3. Europe
    • 9.3.1. Introduction
    • 9.3.2. Key Region-Specific Dynamics
      • 9.3.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
      • 9.3.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
    • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.3.4.1. Germany
      • 9.3.4.2. UK
      • 9.3.4.3. France
      • 9.3.4.4. Italy
      • 9.3.4.5. Spain
      • 9.3.4.6. Rest of Europe
  • 9.4. South America
    • 9.4.1. Introduction
    • 9.4.2. Key Region-Specific Dynamics
      • 9.4.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
      • 9.4.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
    • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.4.4.1. Brazil
      • 9.4.4.2. Argentina
      • 9.4.4.3. Rest of South America
  • 9.5. Asia-Pacific
    • 9.5.1. Introduction
    • 9.5.2. Key Region-Specific Dynamics
      • 9.5.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
      • 9.5.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
    • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.5.4.1. China
      • 9.5.4.2. India
      • 9.5.4.3. Japan
      • 9.5.4.4. Australia
      • 9.5.4.5. Rest of Asia-Pacific
  • 9.6. Middle East and Africa
    • 9.6.1. Introduction
    • 9.6.2. Key Region-Specific Dynamics
      • 9.6.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product
      • 9.6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Process
  • 9.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

10. Competitive Landscape

  • 10.1. Competitive Scenario
  • 10.2. Market Positioning/Share Analysis
  • 10.3. Mergers and Acquisitions Analysis

11. Company Profiles

  • 11.1. Intel Corporation*
    • 11.1.1. Company Overview
    • 11.1.2. Product Portfolio and Description
    • 11.1.3. Financial Overview
    • 11.1.4. Key Developments
  • 11.2. Chetu Inc.
  • 11.3. TiaTech Health Technologies
  • 11.4. ValueCoders
  • 11.5. LeewayHertz
  • 11.6. Vonage Holdings Corp.
  • 11.7. Caption Health, Inc.
  • 11.8. Corti HQ
  • 11.9. Biobeat Technologies
  • 11.10. Owkin, Inc (*LIST NOT EXHAUSTIVE)

12. Appendix

  • 12.1. About Us and Services
  • 12.2. Contact Us