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市场调查报告书
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1737095

基于人工智慧的医疗诊断工具的全球市场规模：按应用、诊断工具、地区和预测

Global AI-based Medical Diagnostic Tools Market Size By Application (Eye Care, Oncology, Radiology), By Diagnostic tool (Medical Imaging Tools, Automated Detection Systems), By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

基于人工智慧的医疗诊断工具的市场规模和预测

预计 2024 年全球基于人工智慧的医疗诊断工具市场规模将达到 10.357 亿美元，到 2032 年将达到 78.424 亿美元，在 2026-2032 年预测期内的复合年增长率为 27.67%。

医疗保健产业数位化，资讯系统在医疗保健服务流程各个阶段的应用也催生了巨量资料（大规模复杂数据）。全球人工智慧医疗诊断工具市场报告对市场进行了全面评估，包括关键细分市场、趋势、市场驱动因素、市场限制、竞争格局以及影响市场的关键因素。

定义全球基于人工智慧的医疗诊断工具市场

将人类智慧转化为机器和电脑技术的过程被称为人工智慧 (AI)。基于人工智慧的医疗诊断工具主要致力于建立用于疾病诊断和治疗建议的人工智慧程式。疾病的符号模型是这些诊断工具的基础。学习系统和专家系统是医学诊断领域最重要的人工智慧应用。基于专家系统的诊断工具是利用知识处理、事实和推理来诊断疾病的电脑程式。基于学习框架的演示设备使用可扩展的样本识别、人工智慧策略和脑网路来进行疾病诊断。

全球基于人工智慧的医疗诊断工具市场概况

随着医疗产业数位化，以及医疗服务流程各环节资讯系统的运用，巨量资料（大规模复杂数据）应运而生。在临床诊断产业，巨量资料包括点选流、网路和虚拟娱乐连接、感测器、心电图、X射线等临床设备读数、医疗索赔和其他收费记录、生物特征数据等。专家和放射科医师都承认，同情心和影响力是人类的共同能力。

人们也担心患者可能会过度沉迷于这些技术，而忽略必要的面对面治疗，对长期的医病关係构成挑战。许多医疗专业人士对人工智慧诊断患者病情的准确性表示怀疑。因此，需要说服医疗服务提供者，基于人工智慧的检测安排是切实可行、有效且安全的，能够促进专业和谐并更好地照顾患者。儘管如此，医疗服务提供者正逐渐接受基于人工智慧的安排及其广泛应用的潜在益处。

因此，未来医生和放射科医生可能会被基于人工智慧的医疗技术所吸引。医疗机构面临的最大障碍是克服财务限制，尤其是在新兴国家，IT 预算通常比医疗设备更难取得。影像处理硬体及其执行的巨额成本，以及基于电脑的智慧程式设计的授权成本，是限制该产业发展的主要因素，尤其是在报销条件较差的国家。例如，开发中国家的大多数医疗机构由于安装和维护成本高昂而无法实施人工智慧解决方案。

这一因素阻碍了新技术和先进系统的采用。此外，实施和许可成本给最终用户带来了巨大的财务负担。由于支出计划有限，小型诊所无法负担此类安排的成本。因此，预计人工智慧在基于人工智慧的医疗诊断工具市场的扩张将举步维艰。

目录

第一章 全球人工智慧医疗诊断工具市场介绍

  • 市场定义
  • 市场区隔
  • 调查时间表
  • 先决条件
  • 限制

第 2 章 已验证的市场研究调查方法

  • 资料探勘
  • 数据三角测量
  • 自下而上的方法
  • 自上而下的方法
  • 调查流程
  • 业界专家的重要见解
  • 资料来源

第三章执行摘要

  • 市场概览
  • 生态测绘
  • 绝对的商机
  • 市场吸引力
  • 全球医疗诊断工具市场按地区分析
  • 全球人工智慧医疗诊断工具市场（按应用）
  • 全球人工智慧医疗诊断工具市场（按诊断工具划分）
  • 未来市场机会
  • 世界市场结构
  • 产品生命线

第四章 AI 医疗诊断工俱全球市场展望

  • 全球人工智慧医疗诊断工具市场的发展
  • 驱动程式
  • 限制因素
  • 机会
  • 波特五力模型
  • 价值链分析
  • 定价分析
  • 宏观经济分析

第五章 全球以人工智慧为基础的医疗诊断工具市场（按应用）

  • 概述
  • 眼科
  • 肿瘤学
  • 放射学
  • 心血管
  • 病理
  • 其他的

第六章 全球以人工智慧为基础的医疗诊断工具市场（按诊断工具）

  • 概述
  • 医学影像工具
  • 自动发现系统
  • 其他的

7. 全球人工智慧医疗诊断工具市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲
  • 中东和非洲
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 南非
    • 其他中东和非洲地区

8. 全球以人工智慧为基础的医疗诊断工具市场的竞争格局

  • 市场概览
  • 各公司市场排名
  • 主要进展
  • 公司地理分布
  • 公司产业足迹
  • ACE矩阵

第九章 公司简介

  • Microsoft
  • NVIDIA
  • IBM
  • Intel Corporation
  • Google, Inc
  • Siemens Healthineers
  • GE Healthcare
  • Digital Diagnostics, Inc
  • Xilinx
  • InformAI LLC
  • HeartFlow, Inc.

第十章 已验证的市场情报

  • 关于已验证的市场情报
  • 动态资料视觉化
简介目录
Product Code: 50576

AI-based Medical Diagnostic Tools Market Size And Forecast

AI-based Medical Diagnostic Tools Market size was valued at USD 1,035.7 Million in 2024 and is projected to reach USD 7,842.4 Million by 2032, growing at a CAGR of 27.67% from 2026 to 2032.

At various stages of the care delivery process, big data-large and complex data-is generated as a result of the healthcare industry's growing digitization and adoption of information systems. The Global AI-based Medical Diagnostic Tools Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global AI-based Medical Diagnostic Tools Market Definition

The process of transferring human intelligence into machines or computer technologies is known as artificial intelligence (AI). The primary focus of AI-based medical diagnostic tools is the AI program's construction for disease diagnosis and therapy recommendations. The symbolic models of disease serve as the foundation for these diagnostic tools. Learning and expert systems are the most important AI applications for medical diagnosis. Expert systems-based diagnostic tools are computer programs that use knowledge processing, facts, and inference to diagnose diseases. A learning framework based demonstrative device uses measurable example acknowledgment, AI strategies, and brain networks for the sickness determination.

Global AI-based Medical Diagnostic Tools Market Overview

At various stages of the care delivery process, big data-large and complex data-is generated as a result of the healthcare industry's growing digitization and adoption of information systems. In the clinical diagnostics industry, large information involves data created from clickstream and web and virtual entertainment connections; readings from clinical gadgets, like sensors, ECGs, X-beams, medical care claims, and other charging records; as well as biometric data and other sources. Specialists and radiologists accept that abilities like compassion and influence are human abilities; As a result, medical professionals can't be completely ruled out by technology.

In addition, there is a concern that patients may have an excessive preference for these technologies and may disregard necessary in-person treatments, posing a challenge to long-term relationships between doctors and patients. There are a number of healthcare professionals who are skeptical about the accuracy with which AI can diagnose patients' conditions. Accordingly, persuading suppliers that artificial intelligence based is testing arrangements are practical, effective, and safe arrangements that deal specialists accommodation and better patient consideration. Nonetheless, medical care suppliers are progressively tolerating the likely advantages of AIbased arrangements and the range of uses it serves.

As a result, it's possible that doctors and radiologists will gravitate toward AI-based healthcare technologies more in the future. The greatest obstacle for healthcare organizations is overcoming financial constraints, particularly in emerging economies where it is frequently difficult to secure IT budgets over medical equipment. The significant expense of imaging hardware and execution and permitting expenses of computer based intelligence programming are the main considerations controlling business sector development, explicitly in nations where the repayment situation is poor. For instance, the majority of healthcare facilities in developing nations cannot afford AI solutions because of the high costs of installation and upkeep.

The adoption of new or technologically advanced systems is being hampered by this factor. Additionally, the implementation and licensing fees impose a significant financial burden on end users. Attributable to these spending plan limitations, little medical care offices can't bear the cost of these arrangements. As a result, AI expansion in the AI-based Medical Diagnostic Tools Market is anticipated to suffer. Based on component, the global market is divided into software and services. The market was dominated by the services segment, but the software segment is expected to expand at a higher CAGR over the forecast period. Software solutions give healthcare providers a leg up on the competition, even though they have to deal with a lack of staff and rising volumes of imaging scans.

Global AI-based Medical Diagnostic Tools Market Segmentation Analysis

The Global AI-based Medical Diagnostic Tools Market is Segmented on the basis of Application, Diagnostic tool, and Geography.

AI-based Medical Diagnostic Tools Market, By Application

  • Eye Care
  • Oncology
  • Radiology
  • Cardiovascular
  • Pathology
  • Others

Based on Application, the market is bifurcated into Eye Care, Oncology, Radiology, Cardiovascular, Pathology, and Others. In the eye care segment, AI is increasingly being used for the diagnosis of diabetic retinopathy. Several solutions are available in the market that use AI that analyses images of the retina for signs of diabetic retinopathy, a complication of diabetes caused by high sugar levels.

AI-based Medical Diagnostic Tools Market, By Diagnostic tool

  • Medical Imaging Tools
  • Automated Detection Systems
  • Others

Based on Diagnostic tool, the market is bifurcated into Medical Imaging Tools, Automated Detection Systems, and Others. Medical Imaging Tools accounted for the largest market share in 2018. AI-based medical imaging tools rely on an enormous supply of medical data to derive its algorithms to discover patterns in images and detection of specific anatomical markers.

AI-based Medical Diagnostic Tools Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the world
  • On the basis of regional analysis, the Global AI-based Medical Diagnostic Tools Market is classified into North America, Europe, Asia Pacific and Rest of the world. North America is expected to hold the largest market share of the Robo-Taxi over the forecast period followed by Europe. The healthcare authorities in North America are commenting themselves to the power of Artificial Intelligence in order to raise the level of acute care in hospitals with experts.

Key Players

The "Global AI-based Medical Diagnostic Tools Market" study report will provide valuable insight with an emphasis on the global market including some of the major players such as Microsoft, NVIDIA, IBM, Intel Corporation, Google, Inc, Siemens Healthineers, GE Healthcare, Digital Diagnostics, Inc, Xilinx, InformAI LLC, HeartFlow, Inc.

Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

Key Developments

  • In 2021, Microsoft (US) partnered with Truveta (US), which will use the power of Microsoft Azure and artificial intelligence to help Truveta realize its goal of saving lives with data.
  • Humana Inc. and IBM (USA) collaborated in 2021. IBM's Watson Assistant is used by Humana for health benefits; This is an IBM Watson Health Cloud-built AI-enabled virtual agent.
  • The first AI associate degree program designed by Intel in the United States will be offered in 2020 by Intel (US) and the Maricopa County Community College District (US). It empowered
  • huge number of understudies to land medical services, car, modern, and aviation vocations.
  • The Moorfields Eye Hospital in the United Kingdom and Google's DeepMind division (US) have been working together since December 2019. This development aims to improve previous research on eye diseases and to assist eye doctors in determining a patient's risk of developing an eye condition and directing them to medical care based on the urgency of the problem.
  • Ace Matrix Analysis
  • The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
  • Market Attractiveness
  • The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global AI-based Medical Diagnostic Tools Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
  • Porter's Five Forces
  • The image provided would further help to get information about Porter's five forces framework providing a blueprint for understanding the behavior of competitors and a player's strategic positioning in the respective industry. The porter's five forces model can be used to assess the competitive landscape in Global AI-based Medical Diagnostic Tools Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

TABLE OF CONTENTS

1 INTRODUCTION OF THE GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET

  • 1.1 Market Definition
  • 1.2 Market Segmentation
  • 1.3 Research Timelines
  • 1.4 Assumptions
  • 1.5 Limitations

2 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 2.1 Data Mining
  • 2.2 Data Triangulation
  • 2.3 Bottom-Up Approach
  • 2.4 Top-Down Approach
  • 2.5 Research Flow
  • 2.6 Key Insights from Industry Experts
  • 2.7 Data Sources

3 EXECUTIVE SUMMARY

  • 3.1 Market Overview
  • 3.2 Ecology Mapping
  • 3.3 Absolute Market Opportunity
  • 3.4 Market Attractiveness
  • 3.5 Global Ai-Based Medical Diagnostic Tools Market Geographical Analysis (CAGR %)
  • 3.6 Global Ai-Based Medical Diagnostic Tools Market, By Application (USD Million)
  • 3.7 Global Ai-Based Medical Diagnostic Tools Market, By Diagnostic Tool (USD Million)
  • 3.8 Future Market Opportunities
  • 3.9 Global Market Split
  • 3.10 Product Life Line

4 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET OUTLOOK

  • 4.1 Global Ai-Based Medical Diagnostic Tools Market Evolution
  • 4.2 Drivers
    • 4.2.1 Driver1
    • 4.2.2 Driver 2
  • 4.3 Restraints
    • 4.3.1 Restraint1
    • 4.3.2 Restraint 2
  • 4.4 Opportunities
    • 4.4.1 Opportunity1
    • 4.4.2 Opportunity 2
  • 4.5 Porters Five Force Model
  • 4.6 Value Chain Analysis
  • 4.7 Pricing Analysis
  • 4.8 Macroeconomic Analysis

5 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY APPLICATION

  • 5.1 Overview
  • 5.2 Eye Care
  • 5.3 Oncology
  • 5.4 Radiology
  • 5.5 Cardiovascular
  • 5.6 Pathology
  • 5.7 Others

6 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY DIAGNOSTIC TOOL

  • 6.1 Overview
  • 6.2 Medical Imaging Tools
  • 6.3 Automated Detection Systems
  • 6.4 Others

7 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY GEOGRAPHY

  • 7.1 Overview
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
    • 7.2.3 Mexico
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 U.K.
    • 7.3.3 France
    • 7.3.4 Italy
    • 7.3.5 Spain
    • 7.3.6 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Rest of Asia Pacific
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Argentina
    • 7.5.3 Rest of Latin America
  • 7.6 Middle-East and Africa
    • 7.6.1 UAE
    • 7.6.2 Saudi Arabia
    • 7.6.3 South Africa
    • 7.6.4 Rest of Middle-East and Africa

8 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET COMPETITIVE LANDSCAPE

  • 8.1 Overview
  • 8.2 Company Market Ranking
  • 8.3 Key Developments
  • 8.4 Company Regional Footprint
  • 8.5 Company Industry Footprint
  • 8.6 ACE Matrix

9 COMPANY PROFILES

  • 9.1 Microsoft
    • 9.1.1 Company Overview
    • 9.1.2 Company Insights
    • 9.1.3 Product Benchmarking
    • 9.1.4 Key Developments
    • 9.1.5 Winning Imperatives
    • 9.1.6 Current Focus & Strategies
    • 9.1.7 Threat from Competition
    • 9.1.8 SWOT Analysis
  • 9.2 NVIDIA
    • 9.2.1 Company Overview
    • 9.2.2 Company Insights
    • 9.2.3 Product Benchmarking
    • 9.2.4 Key Developments
    • 9.2.5 Winning Imperatives
    • 9.2.6 Current Focus & Strategies
    • 9.2.7 Threat from Competition
    • 9.2.8 SWOT Analysis
  • 9.3 IBM
    • 9.3.1 Company Overview
    • 9.3.2 Company Insights
    • 9.3.3 Product Benchmarking
    • 9.3.4 Key Developments
    • 9.3.5 Winning Imperatives
    • 9.3.6 Current Focus & Strategies
    • 9.3.7 Threat from Competition
    • 9.3.8 SWOT Analysis
  • 9.4 Intel Corporation
    • 9.4.1 Company Overview
    • 9.4.2 Company Insights
    • 9.4.3 Product Benchmarking
    • 9.4.4 Key Developments
    • 9.4.5 Winning Imperatives
    • 9.4.6 Current Focus & Strategies
    • 9.4.7 Threat from Competition
    • 9.4.8 SWOT Analysis
  • 9.5 Google, Inc
    • 9.5.1 Company Overview
    • 9.5.2 Company Insights
    • 9.5.3 Product Benchmarking
    • 9.5.4 Key Developments
    • 9.5.5 Winning Imperatives
    • 9.5.6 Current Focus & Strategies
    • 9.5.7 Threat from Competition
    • 9.5.8 SWOT Analysis
  • 9.6 Siemens Healthineers
    • 9.6.1 Company Overview
    • 9.6.2 Company Insights
    • 9.6.3 Product Benchmarking
    • 9.6.4 Key Developments
    • 9.6.5 Winning Imperatives
    • 9.6.6 Current Focus & Strategies
    • 9.6.7 Threat from Competition
    • 9.6.8 SWOT Analysis
  • 9.7 GE Healthcare
    • 9.7.1 Company Overview
    • 9.7.2 Company Insights
    • 9.7.3 Product Benchmarking
    • 9.7.4 Key Developments
    • 9.7.5 Winning Imperatives
    • 9.7.6 Current Focus & Strategies
    • 9.7.7 Threat from Competition
    • 9.7.8 SWOT Analysis
  • 9.8 Digital Diagnostics, Inc
    • 9.8.1 Company Overview
    • 9.8.2 Company Insights
    • 9.8.3 Product Benchmarking
    • 9.8.4 Key Developments
    • 9.8.5 Winning Imperatives
    • 9.8.6 Current Focus & Strategies
    • 9.8.7 Threat from Competition
    • 9.8.8 SWOT Analysis
  • 9.9 Xilinx
    • 9.9.1 Company Overview
    • 9.9.2 Company Insights
    • 9.9.3 Product Benchmarking
    • 9.9.4 Key Developments
    • 9.9.5 Winning Imperatives
    • 9.9.6 Current Focus & Strategies
    • 9.9.7 Threat from Competition
    • 9.9.8 SWOT Analysis
  • 9.10 InformAI LLC
    • 9.10.1 Company Overview
    • 9.10.2 Company Insights
    • 9.10.3 Product Benchmarking
    • 9.10.4 Key Developments
    • 9.10.5 Winning Imperatives
    • 9.10.6 Current Focus & Strategies
    • 9.10.7 Threat from Competition
    • 9.10.8 SWOT Analysis
  • 9.11 HeartFlow, Inc.
    • 9.11.1 Company Overview
    • 9.11.2 Company Insights
    • 9.11.3 Product Benchmarking
    • 9.11.4 Key Developments
    • 9.11.5 Winning Imperatives
    • 9.11.6 Current Focus & Strategies
    • 9.11.7 Threat from Competition
    • 9.11.8 SWOT Analysis

10 VERIFIED MARKET INTELLIGENCE

  • 10.1 About Verified Market Intelligence
  • 10.2 Dynamic Data Visualization