AIベース医療診断ツールの世界市場規模：用途別、診断ツール別、地域別・予測

AIベース医療診断ツールの市場規模と予測

世界のAIベース医療診断ツールの市場規模は、2024年に10億3,570万米ドルと評価され、2026年～2032年に27.67%のCAGRで成長し、2032年には78億4,240万米ドルに達すると予測されます。

医療提供プロセスのさまざまな段階で、ヘルスケア業界のデジタル化と情報システムの導入が進んだ結果、ビッグデータ（大規模で複雑なデータ）が生成されています。AIベース医療診断ツールの世界市場レポートは、市場の全体的な評価を提供します。主要セグメント、動向、市場促進要因、市場抑制要因、競合情勢、市場で重要な役割を果たしている要因などを包括的に分析しています。

世界のAIベース医療診断ツール市場の定義

人間の知能を機械やコンピュータ技術に移植するプロセスは、人工知能（AI）として知られています。AIベース医療診断ツールの主な焦点は、疾病診断と治療推奨のためのAIプログラムの構築です。病気の象徴的モデルは、これらの診断ツールの基礎となります。学習システムとエキスパートシステムは、医療診断のための最も重要なAI用途です。エキスパートシステムに基づく診断ツールは、知識処理、事実、推論を用いて病気を診断するコンピュータプログラムです。学習フレームワークベースの実証装置は、病気の判定に測定可能な例認識、AI戦略、ブレインネットワークを使用します。

世界のAIベース医療診断ツール市場の概要

医療提供プロセスのさまざまな段階で、ヘルスケア業界のデジタル化と情報システムの導入が進んだ結果、ビッグデータ（大規模で複雑なデータ）が生成されています。臨床診断業界では、ビッグデータには、クリックストリームやウェブ、バーチャルエンターテインメント接続から作成されたデータ、センサー、ECG、Xビーム、医療費請求、その他の課金記録などの臨床機器からの読み取りデータ、バイオメトリックデータなどが含まれます。専門医や放射線科医は、思いやりや影響力といった能力が人間の能力であることを認めています。

また、患者がこうしたテクノロジーを過剰に好み、対面での必要な治療を軽視する可能性も懸念され、医師と患者の長期的な関係にも課題があります。AIによる患者の状態診断の正確さに懐疑的なヘルスケア専門家も少なくありません。したがって、人工知能に基づく検査の取り決めが、専門家の融和と患者へのより良い配慮を扱う、実用的で効果的かつ安全な取り決めであることを提供者に説得する必要があります。とはいえ、医療提供者は、AIベースの取り決めがもたらす可能性の高い利点と、その用途の広さを徐々に容認しつつあります。

その結果、将来的には医師や放射線技師がAIベースのヘルスケア技術に引き寄せられる可能性があります。ヘルスケア組織にとって最大の障害は、財政的な制約を克服することであり、特に新興国では医療機器よりもIT予算を確保することが困難な場合が多いです。画像処理ハードウェアとその実行にかかる多大な費用と、コンピュータベースのインテリジェンス・プログラミングの許可費用は、返済状況が悪い国々では特に、事業分野の開発を支配する主な考慮事項です。例えば、発展途上国のヘルスケア施設の大半は、設置や維持に高額な費用がかかるため、AIソリューションを導入する余裕がありません。

新しいシステムや技術的に高度なシステムの導入は、この要因によって妨げられています。さらに、導入費用やライセンシング費用はエンドユーザーに大きな経済的負担を強います。こうした支出計画の制限に起因して、小さな診療所ではこうした手配のコストを負担することができません。その結果、AIベース医療診断ツール市場におけるAIの拡大は苦戦を強いられると予想されます。

目次

第1章 AIベース医療診断ツールの世界市場のイントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査スケジュール
• 前提条件
• 制限事項

第2章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• データの三角測量
• ボトムアップアプローチ
• トップダウンアプローチ
• 調査の流れ
• 業界専門家による主要な洞察
• データソース

第3章 エグゼクティブサマリー

• 市場概要
• エコロジーのマッピング
• 絶対的収益機会
• 市場の魅力
• 医療診断ツールの世界市場分析：地域別
• AIベース医療診断ツールの世界市場：用途別
• AIベース医療診断ツールの世界市場：診断ツール別
• 今後の市場機会
• 世界市場分割
• 製品ライフライン

第4章 AIベース医療診断ツールの世界市場展望

• AIベース医療診断ツールの世界市場の進化
• 促進要因
• 抑制要因
• 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析
• 価格分析
• マクロ経済分析

第5章 AIベース医療診断ツールの世界市場：用途別

• 概要
• 眼科
• 腫瘍学
• 放射線学
• 心臓血管
• 病理学
• その他

第6章 AIベース医療診断ツールの世界市場：診断ツール別

• 概要
• 医療用画像診断ツール
• 自動検出システム
• その他

第7章 AIベース医療診断ツールの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • イタリア
  • スペイン
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋
• ラテンアメリカ
  • ブラジル
  • アルゼンチン
  • その他ラテンアメリカ
• 中東・アフリカ
  • アラブ首長国連邦
  • サウジアラビア
  • 南アフリカ
  • その他中東・アフリカ

第8章 AIベース医療診断ツールの世界市場の競合情勢

• 市場概要
• 各社の市場ランキング
• 主な発展
• 企業の地域フットプリント
• 企業の業界フットプリント
• ACEマトリックス

第9章 企業プロファイル

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

第10章 VERIFIED MARKET INTELLIGENCE

• VERIFIED MARKET INTELLIGENCEについて
• ダイナミックなデータの可視化

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