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市场调查报告书
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1542875

全球人工智慧远距医疗市场 - 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个工作天内

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简介目录

概述

2023年,全球人工智慧远距医疗市场规模达到148亿美元,预计到2031年将达到918亿美元,2024-2031年预测期间复合年增长率为26.7%。

远距医疗中的人工智慧为医疗保健提供者和患者提供了广泛的新选择。人工智慧透过提高诊断准确性、实现远端患者监控、分析医学影像、提供虚拟分流或医疗咨询服务等来改善远距医疗。它提高了远距医疗服务的效率、可近性和品质。

它为医疗保健提供者提供数据驱动的见解和决策能力,使他们能够提供更有效率和个人化的照护。它还可以根据患者的个别特征量身定制治疗计划,从而获得更好的结果。

市场动态:

驱动程式和限制

人工智慧技术的进步

人工智慧技术的不断进步预计将成为市场成长的重要驱动因素。增强的诊断应用程式和功能可以比传统方法更快、更准确地分析医疗资料,预计将在远距医疗中采用人工智慧。

例如,2023 年 9 月 27 日,HealthTap 推出了新版本的 Dr.AI 功能,这是由 GPT-4 支援的预约患者访谈体验。 OpenAI 最先进的 ChatGPT 系统 GPT-4 是一种能够进行类人对话的人工智慧语言模型。艾博士

例如,2024 年6 月,C3 Med-Tech 从Industrial Metal Powders 获得一笔金额未披露的资金,用于推出新型远距医疗和人工智慧(AI) 功能的便携式设备,以实现顺利、快速的眼科检查和即时检测眼部疾病。因此,不断增长的技术进步预计将推动市场成长。

高额费用

实施人工智慧远距医疗的成本可能很高,尤其是在财政资源很少的情况下。建造和维护技术和基础设施以及培训和补偿员工的费用可能是巨大的。因此,上述因素可能会抑制市场的成长。

细分市场分析

全球远距医疗市场人工智慧根据产品、流程、应用和地区进行细分。

资料分析领域预计将主导市场份额

人工智慧利用先前的资讯来预测患者的结果和可能的健康风险,从而可以进行预防性干预和更好的资源分配。数据分析有助于优化远距医疗系统中的工作流程和资源管理,降低成本并增强服务交付。

远距医疗平台可以根据个人的病史、遗传和生活方式为他们制定个人化的治疗方案,从而获得更好的结果。人工智慧驱动的资料分析透过分析大量患者资料、识别趋​​势并提供有关患者护理的见解,帮助医疗保健提供者做出更好的决策。

市场地理分析

北美预计在人工智慧远距医疗市场份额中占据重要地位

该地区拥有完善的技术基础设施,可在医疗保健领域开发和实施人工智慧解决方案。医疗保健专业人员和患者越来越接受和整合远距医疗技术,COVID-19 疫情加速了这一趋势。

北美拥有丰富的医疗资料,这对于训练人工智慧模型并提高其诊断和治疗患者的准确性至关重要。许多医疗机构正在与科技公司建立合作伙伴关係,以创建和改进人工智慧驱动的远距医疗解决方案,从而促进市场成长。

目录

第 1 章:方法与范围

第 2 章:定义与概述

第 3 章:执行摘要

第 4 章:动力学

  • 影响因素
    • 司机
      • 人工智慧技术的进步
    • 限制
      • 高额开支
    • 机会
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • 报销分析
  • 专利分析
  • SWOT分析
  • DMI 意见

第 6 章:副产品

  • 软体
  • 服务

第 7 章:按流程

  • 数据分析
  • 影像辨识
  • 自然语言处理
  • 虚拟咨询

第 8 章:按申请

  • 虚拟健康助理和聊天机器人
  • 远端监控和预测分析
  • 诊断和医学影像
  • 药物依从性和治疗计划
  • 远距会诊增强
  • 其他的

第 9 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 10 章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 11 章:公司简介

  • Intel Corporation
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • 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:附录

简介目录
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