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1737095

基於人工智慧的醫療診斷工具的全球市場規模：按應用、診斷工具、地區和預測

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個工作天內

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簡介目錄

基於人工智慧的醫療診斷工具的市場規模和預測

預計 2024 年全球基於人工智慧的醫療診斷工具市場規模將達到 10.357 億美元，到 2032 年將達到 78.424 億美元，在 2026-2032 年預測期內的複合年成長率為 27.67%。

醫療保健產業數位化，資訊系統在醫療保健服務流程各個階段的應用也催生了巨量資料（大規模複雜數據）。全球人工智慧醫療診斷工具市場報告對市場進行了全面評估，包括關鍵細分市場、趨勢、市場促進因素、市場限制、競爭格局以及影響市場的關鍵因素。

定義全球基於人工智慧的醫療診斷工具市場

將人類智慧轉化為機器和電腦技術的過程被稱為人工智慧 (AI)。基於人工智慧的醫療診斷工具主要致力於建立用於疾病診斷和治療建議的人工智慧程式。疾病的符號模型是這些診斷工具的基礎。學習系統和專家系統是醫學診斷領域最重要的人工智慧應用。基於專家系統的診斷工具是利用知識處理、事實和推理來診斷疾病的電腦程式。基於學習框架的演示設備使用可擴展的樣本識別、人工智慧策略和腦網路來進行疾病診斷。

全球基於人工智慧的醫療診斷工具市場概況

隨著醫療產業數位化，以及醫療服務流程各環節資訊系統的運用，巨量資料（大規模複雜數據）應運而生。在臨床診斷產業，巨量資料包括點選流、網路和虛擬娛樂連接、感測器、心電圖、X光等臨床設備讀數、醫療索賠和其他收費記錄、生物特徵數據等。專家和放射科醫師都承認，同情心和影響力是人類的共同能力。

人們也擔心患者可能會過度沉迷於這些技術，而忽略必要的面對面治療，對長期的醫病關係構成挑戰。許多醫療專業人士對人工智慧診斷患者病情的準確性表示懷疑。因此，需要說服醫療服務提供者，基於人工智慧的檢測安排是切實可行、有效且安全的，能夠促進專業和諧並更好地照顧患者。儘管如此，醫療服務提供者正逐漸接受基於人工智慧的安排及其廣泛應用的潛在益處。

因此，未來醫生和放射科醫生可能會被基於人工智慧的醫療技術所吸引。醫療機構面臨的最大障礙是克服財務限制，尤其是在新興國家，IT 預算通常比醫療設備更難取得。影像處理硬體及其執行的巨額成本，以及基於電腦的智慧程式設計的授權成本，是限制該產業發展的主要因素，尤其是在報銷條件較差的國家。例如，開發中國家的大多數醫療機構由於安裝和維護成本高昂而無法實施人工智慧解決方案。

這一因素阻礙了新技術和先進系統的採用。此外，實施和許可成本給最終用戶帶來了巨大的財務負擔。由於支出計劃有限，小型診所無法負擔此類安排的成本。因此，預計人工智慧在基於人工智慧的醫療診斷工具市場的擴張將舉步維艱。

目錄

第1章 全球人工智慧醫療診斷工具市場介紹

  • 市場定義
  • 市場區隔
  • 調查時間表
  • 先決條件
  • 限制

第 2 章 已驗證的市場研究調查方法

  • 資料探勘
  • 數據三角測量
  • 自下而上的方法
  • 自上而下的方法
  • 調查流程
  • 業界專家的重要見解
  • 資料來源

第3章執行摘要

  • 市場概覽
  • 生態測繪
  • 絕對的商機
  • 市場吸引力
  • 全球醫療診斷工具市場按地區分析
  • 全球人工智慧醫療診斷工具市場（按應用）
  • 全球人工智慧醫療診斷工具市場（按診斷工具分類）
  • 未來市場機會
  • 世界市場結構
  • 產品生命線

第4章 AI 醫療診斷工具全球市場展望

  • 全球人工智慧醫療診斷工具市場的發展
  • 驅動程式
  • 限制因素
  • 機會
  • 波特五力模型
  • 價值鏈分析
  • 定價分析
  • 宏觀經濟分析

第5章 全球以人工智慧為基礎的醫療診斷工具市場（按應用）

  • 概述
  • 眼科
  • 腫瘤學
  • 放射學
  • 心血管
  • 病理
  • 其他

第6章 全球以人工智慧為基礎的醫療診斷工具市場（按診斷工具）

  • 概述
  • 醫學影像工具
  • 自動發現系統
  • 其他

7. 全球人工智慧醫療診斷工具市場（按地區）

  • 概述
  • 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
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • 其他中東和非洲地區

8. 全球以人工智慧為基礎的醫療診斷工具市場的競爭格局

  • 市場概覽
  • 各公司市場排名
  • 主要進展
  • 公司地理分佈
  • 公司產業足跡
  • ACE矩陣

第9章 公司簡介

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

第10章 已驗證的市場情報

  • 關於已驗證的市場情報
  • 動態資料視覺化
簡介目錄
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