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医療診断における人工知能市場:コンポーネント、テクノロジー、アプリケーション、エンドユーザー別-2024-2030年の世界予測

Artificial Intelligence in Medical Diagnostics Market by Component (Hardware, Services, Software), Technology (Computer Vision, Machine Learning Platforms, Natural Language Processing), Application, End-User - Global Forecast 2024-2030

出版日: | 発行: 360iResearch | ページ情報: 英文 189 Pages | 納期: 即日から翌営業日

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医療診断における人工知能市場:コンポーネント、テクノロジー、アプリケーション、エンドユーザー別-2024-2030年の世界予測
出版日: 2024年04月17日
発行: 360iResearch
ページ情報: 英文 189 Pages
納期: 即日から翌営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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概要

医療診断における人工知能市場規模は2023年に10億米ドルと推計され、2024年には11億6,000万米ドルに達し、CAGR 17.23%で2030年には30億4,000万米ドルに達すると予測されます。

医療診断における人工知能(AI)市場には、臨床データを分析し、パターンを特定し、診断精度の向上と患者ケアのための洞察を導き出すための、AIベースの技術やシステムの開発、導入、応用が含まれます。慢性疾患の有病率の増加により、診断アプリケーションにおける画像解析強化のニーズが急増しています。精密医療やウェアラブル機器へのAI/ML技術の統合を促進する政府のイニシアティブの高まりが製品開発を強化し、市場成長に大きく寄与しています。しかし、製品の不具合の増加や既存の診断システムとのAI統合の難しさが、AI対応診断ソリューションの市場導入を制限する可能性があります。データプライバシーとセキュリティ侵害の問題は、市場成長の懸念要因として浮上しています。さらに、医療診断のための診断ロボットや高度なAI技術の導入は、市場成長のための魅力的な機会を生み出しています。スタートアップエコシステムの進展とスマート病院の拡大により、医療診断におけるAI技術の活用が期待され、市場の成長を後押しします。

主な市場の統計
基準年[2023] 10億米ドル
予測年[2024] 11億6,000万米ドル
予測年[2030] 30億4,000万米ドル
CAGR(%) 17.23%

コンポーネント診断の意思決定を強化する多様なソフトウェア・コンポーネントの利用可能性

ハードウェアは、医療診断におけるAIの重要な構成要素であり、AIの計算に必要な組み込みシステム、センサー、医療用画像処理装置などの物理的デバイスを指します。センサーやIoTデバイスは、患者データを収集し、分析のためにAIシステムに送信するために使用される主要なハードウェアです。ハードウェア環境では、データの暗号化、アクセス制御、データ保護規制への準拠のためのハードウェアが必要となります。サービスには、AI医療診断のトレーニング、メンテナンス、設置、カスタマイズが含まれ、この技術を使用して遠隔モニタリングや遠隔コンサルティングを提供します。遠隔モニタリングには、遠隔診断や患者の健康状態の継続的モニタリングが含まれ、特に慢性疾患患者や高齢者、遠隔地に住む人々にとって有益です。遠隔医療相談は、地理的な障壁に関係なく専門家による医療相談へのアクセスを民主化するもので、経過観察、予備診断、農村部でのヘルスケアに主に有用です。ソフトウェアは医療診断におけるAIの不可欠な部分を形成し、複雑な医療データを分析するために高度なアルゴリズム、機械学習、深層学習モデルを活用します。スキャン画像を解釈し、異常を特定し、患者の予後や治療効果を予測するのに役立ちます。このソフトウェアには、画像解析ツール、診断意思決定支援システム、ゲノム解析ソフトウェア、病理・顕微鏡解析などが含まれます。

技術:画像解析向上のためのコンピュータ・ビジョン技術の大幅な進歩

コンピュータ・ビジョンには、視覚世界を解釈・理解するための人工知能(AI)のトレーニングが含まれます。医療診断において、この技術は画像誘導手術や放射線報告書の自動読影などの手順を活性化させました。コンピュータ・ビジョンは、大量の画像データを解釈する放射線学や病理学において極めて重要です。機械学習プラットフォームにより、コンピュータシステムは経験とともに改善され、病気の進行予測や早期の病態診断に優れています。この技術は、糖尿病や心臓病など、継続的なモニタリングとタイムリーな介入が必要な慢性疾患の診断プロセスや管理に利用されています。自然言語処理(NLP)は、AIが人間の言葉を理解し解釈することを可能にします。管理業務を効率化し、患者ケアのために医療記録から必要な情報を抽出するのに有効です。ロボティック・プロセス・オートメーション(RPA)は、ルーチン・タスクを自動化するためにソフトウェア・ロボットを活用するもので、検査結果の自動化、患者記録の更新、予約の自動化において効率的です。RPAは大規模病院における検査プロセス全体を自動化し、エラーを排除して診断を迅速化することができます。

応用:診断精度を高めるための循環器分野でのAIの採用

人工知能は、心臓病の早期発見・治療など、循環器内科分野で有望な成果を示しています。AIアルゴリズムを使用することで、医療専門家は患者の健康記録と心臓画像に基づいて、心停止、脳卒中、心臓病のリスクを予測することができます。また、心電図(ECG)データの異常にフラグを立てることにも成功しており、医師がリズム性心疾患をより正確に診断するのに役立っています。複雑で診断が難しいことが多い神経疾患は、膨大なデータからパターンを認識するAIの能力から大きな恩恵を受けています。AIは、脳の画像スキャンを分析し、人間の目が見落としてしまうような微細な変化を特定することで、アルツハイマー、パーキンソン病、多発性硬化症といった疾患の早期発見に極めて重要な役割を果たしています。AIはパターン認識を用いて、がんを示す可能性のある放射線画像の異常を特定することができ、多くの場合、生命を脅かすようになる前に早期の腫瘍を発見することができます。また、AIモデルを活用することで、個々のがんの遺伝子構成に基づいた個別化された治療計画を策定することもできます。AI主導のアルゴリズムが組織サンプルを瞬時に分析し、異常、疾患、感染症を検出することができるため、AIは計算病理学の急成長によって疾患診断をスピードアップし、病理学に革命をもたらしました。ディープラーニング技術を活用することで、AIはX線、CTスキャン、MRIスキャンなどの医療画像を評価し、肺炎、脳腫瘍、骨折などの病気の兆候を検出することができます。呼吸器内科では、AIは喘息やCOPDなどの慢性疾患の予測と管理に使用され、CTスキャンの分析や肺機能検査の解釈を通じて肺がんの早期発見に役立っています。眼科では、様々な眼疾患の診断にAIアルゴリズムが使用されています。ディープラーニング・モデルは網膜写真を分析して糖尿病性網膜症を早期に発見し、失明のリスクを大幅に減らすことができます。

エンドユーザー:病院や診療所における大規模データセット診断へのAIの活用

学術機関や研究センターでは、AIは探求と革新の中心的存在です。科学者や研究者はAIを活用して病気の早期発見のための新しい手法を考案し、より迅速で効率的な診断を促進し、ひいてはタイムリーな介入を可能にしています。診断センターでは、AIは機械学習モデルと画像認識ソフトウェアによって患者ケアに革命をもたらし、画像診断の強化を可能にしています。AIアルゴリズムは、MRIスキャン、X線スキャン、CTスキャンを解析して異常を検出・分類することができます。これらのツールは、より正確な診断を容易にし、手作業によるミスを減らし、適切な治療方針をタイムリーに開始できるようサポートします。ヘルスケアシステムの最前線に不可欠な部分であるヘルスケアは、様々な面でAIの衝撃的な統合を目の当たりにしています。主に、患者データを分析し、重要な洞察をリアルタイムで医師に提示することで、医師による疾病診断を支援しています。AIを搭載したツールを採用することで、病院は従来の患者ケアモデルを改善し、診断プロセスを迅速化し、最終的に治療成果を改善することができます。

地域別の洞察

米国ではヘルスケア向けAIへの多額の投資が、医療診断における画期的な研究と進歩につながっています。米国やカナダなどの主要国では、人工知能の統合を通じて医療診断サービスに革命を起こす技術力を備えた主要プレーヤーが強い存在感を示しています。欧州では、医療診断の研究開発向けにAIを活用したソリューションを提供する新興企業や既存企業の台頭が見られます。EMEA地域全体の政府、研究者、業界プレーヤー間の継続的な協力活動は、医療診断分野におけるイノベーション市場の成長を促進するために重要な役割を果たしています。中国、日本、インドを含むAPAC地域の主要諸国は、地域のプレーヤーがロボット工学や先端技術の専門知識を活用してAI主導の診断ツールを開発することを支援しています。APAC地域の医療診断における人工知能(AI)は、人口の多さ、医療インフラの進化、先端技術の採用増加により、大きな成長を遂げています。

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは医療診断における人工知能市場の評価において極めて重要です。事業戦略と製品満足度に関連する主要指標を調査し、ベンダーの包括的な評価を提供します。この綿密な分析により、ユーザーは各自の要件に沿った十分な情報に基づいた意思決定を行うことができます。評価に基づき、ベンダーは成功の度合いが異なる4つの象限に分類されます:フォアフロント(F)、パスファインダー(P)、ニッチ(N)、バイタル(V)です。

市場シェア分析

市場シェア分析は、医療診断における人工知能市場におけるベンダーの現状について、洞察に満ちた詳細な調査を提供する包括的なツールです。全体的な収益、顧客基盤、その他の主要指標についてベンダーの貢献度を綿密に比較・分析することで、企業の業績や市場シェア争いで直面する課題について理解を深めることができます。さらに、この分析により、調査対象基準年に観察された蓄積、断片化の優位性、合併の特徴などの要因を含む、この分野の競合特性に関する貴重な考察が得られます。このような詳細レベルの拡大により、ベンダーはより多くの情報に基づいた意思決定を行い、市場で競争優位に立つための効果的な戦略を考案することができます。

本レポートは、以下の側面に関する貴重な洞察を提供しています:

1.市場の浸透度:主要企業が提供する市場に関する包括的な情報を提示しています。

2.市場の開拓度:有利な新興市場を深く掘り下げ、成熟市場セグメントにおける浸透度を分析しています。

3.市場の多様化:新製品の発売、未開拓の地域、最近の開発、投資に関する詳細な情報を提供します。

4.競合の評価と情報:市場シェア、戦略、製品、認証、規制状況、特許状況、主要企業の製造能力などを網羅的に評価します。

5.製品開発およびイノベーション:将来の技術、研究開発活動、画期的な製品開発に関する知的洞察を提供します。

本レポートは、以下のような主要な質問に対応しています:

1.医療診断における人工知能市場の市場規模および予測は?

2.医療診断における人工知能市場の予測期間中に投資を検討すべき製品、セグメント、用途、分野は何か?

3.医療診断における人工知能市場の技術動向と規制枠組みは?

4.医療診断における人工知能市場における主要ベンダーの市場シェアは?

5.医療診断における人工知能市場への参入に適した形態や戦略的手段は?

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

  • 市場力学
    • 促進要因
      • 慢性疾患の蔓延と強化された画像分析の必要性
      • ヘルスケアにおけるAI/ML技術の統合を促進する政府の取り組み
      • 精密医療とウェアラブルデバイスにおけるAI技術の導入
    • 抑制要因
      • 障害の可能性と既存システムとの統合の難しさ
    • 機会
      • 医療診断のための診断ロボットと先進AI技術のイントロダクション
      • スタートアップエコシステムの推進とスマート病院の拡大
    • 課題
      • データのプライバシーとセキュリティ侵害に関する懸念
  • 市場セグメンテーション分析
    • コンポーネント:診断決定を強化するための多様なソフトウェアコンポーネントの提供
    • テクノロジー:画像分析の改善に向けたコンピュータビジョン技術の大幅な進歩
    • 応用:心臓病学分野におけるAIの導入による診断精度の向上
    • エンドユーザー:病院や診療所における大規模データセット診断のためのAIの活用
  • 市場動向分析
    • 政府の支援政策と強力な市場プレゼンスにより、南北アメリカ地域ではAIベースの医療診断ツールの採用が増加
    • 政府の好ましい取り組みと進化するヘルスケアインフラは、アジア太平洋地域のヘルスケア診断におけるAIに大きなチャンスがあることを示しています。
    • EMEA全域で医療診断におけるAIに対する官民投資の強力なシナリオが、同地域の新興企業や既存スタートアップ企業による大規模な研究開発活動に支えられています。
  • 高インフレの累積的影響
  • ポーターのファイブフォース分析
  • バリューチェーンとクリティカルパス分析
  • 規制枠組みの分析

第6章 医療診断における人工知能市場:コンポーネント別

  • ハードウェア
  • サービス
  • ソフトウェア

第7章 医療診断における人工知能市場:技術別

  • コンピュータビジョン
  • 機械学習プラットフォーム
  • 自然言語処理
  • ロボティックプロセスオートメーション

第8章 医療診断における人工知能市場:用途別

  • 心臓病学
  • 神経学
  • 腫瘍学
  • 眼科
  • 病理学
  • 呼吸器科

第9章 医療診断における人工知能市場:エンドユーザー別

  • 学術機関・研究センター
  • 診断センター
  • 病院

第10章 南北アメリカの医療診断における人工知能市場

  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第11章 アジア太平洋地域の医療診断における人工知能市場

  • オーストラリア
  • 中国
  • インド
  • インドネシア
  • 日本
  • マレーシア
  • フィリピン
  • シンガポール
  • 韓国
  • 台湾
  • タイ
  • ベトナム

第12章 欧州・中東・アフリカの医療診断における人工知能市場

  • デンマーク
  • エジプト
  • フィンランド
  • フランス
  • ドイツ
  • イスラエル
  • イタリア
  • オランダ
  • ナイジェリア
  • ノルウェー
  • ポーランド
  • カタール
  • ロシア
  • サウジアラビア
  • 南アフリカ
  • スペイン
  • スウェーデン
  • スイス
  • トルコ
  • アラブ首長国連邦
  • 英国

第13章 競合情勢

  • 市場シェア分析2023
  • FPNVポジショニングマトリックス、2023
  • 競合シナリオ分析
    • XtalPiとCKが提携を拡大し、AIがん診断モデルを開発
    • VUNOがVUNO Med-DeepBrainのFDA 510(k)認可を取得
    • AidocがGLEAMERとの提携を拡大し、胸部画像AIスイートを強化
    • EnliticとBlackfordが協力し、医療画像データの標準化に革命を起こす
    • GEヘルスケアは、外傷の診断と治療で医師を支援する人工知能強化型超音波技術を開発するため、BARDAと4,400万米ドルの契約を締結
    • Nanox、Nanox.ARC医療用画像システムの進化に向けてVarex Imaging Corporationと戦略的製造契約を締結
    • CortiのAIを活用したヘルスケアソリューションが6,000万米ドルの投資を獲得
    • Aidoc、脳卒中検出のためのAIベースのフルブレインソリューションを発表
    • バタフライネットワーク、FDA承認の新しいAI対応肺ツールを発表
    • SigTuple、シリーズCラウンドで430万米ドルを調達
    • GEヘルスケアがキャプションヘルスを買収、FDA承認のAI搭載画像ガイダンスを通じて超音波診断装置を拡張し、新規ユーザーをサポート
    • マイクロソフト、がんの診断と治療の進歩に向けペイジと提携

第14章 競合ポートフォリオ

  • 主要企業プロファイル
  • 主要製品ポートフォリオ
図表

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET RESEARCH PROCESS
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2023 VS 2030 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET DYNAMICS
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 23. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 24. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2018-2023 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, 2024-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY HARDWARE, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TELE MONITORING, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TELE MONITORING, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TELE-CONSULTATION, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TELE-CONSULTATION, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SOFTWARE, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ROBOTIC PROCESSES AUTOMATION, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ROBOTIC PROCESSES AUTOMATION, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY CARDIOLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY NEUROLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ONCOLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY OPHTHALMOLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY OPHTHALMOLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY PATHOLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY PATHOLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY PULMONOLOGY, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY PULMONOLOGY, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ACADEMIC INSTITUTIONS & RESEARCH CENTER, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY ACADEMIC INSTITUTIONS & RESEARCH CENTER, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY DIAGNOSTIC CENTER, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY DIAGNOSTIC CENTER, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY HOSPITALS, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 53. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 54. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 55. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 56. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 57. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 58. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 59. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 60. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 61. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 62. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 63. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
  • TABLE 64. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 65. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 66. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 67. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 68. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 69. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 70. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 71. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 72. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 73. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 74. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 75. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 76. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 77. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 78. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 79. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 80. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 81. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 82. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 83. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 84. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 85. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 86. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 87. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 88. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 89. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 90. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 91. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 92. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 93. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 94. CANADA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 95. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 96. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 97. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 98. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 99. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 100. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 101. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 102. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 103. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 104. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 105. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 106. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 107. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 108. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 109. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 110. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 111. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 112. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 113. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 114. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 115. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2018-2023 (USD MILLION)
  • TABLE 116. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY STATE, 2024-2030 (USD MILLION)
  • TABLE 117. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 118. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 119. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 120. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 121. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 122. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 123. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 124. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 125. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 126. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 127. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
  • TABLE 128. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 129. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 130. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 131. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 132. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 133. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 134. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 135. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 136. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 137. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 138. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 139. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 140. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 141. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 142. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 143. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 144. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 145. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 146. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 147. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
  • TABLE 148. CHINA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2024-2030 (USD MILLION)
  • TABLE 149. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 150. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2024-2030 (USD MILLION)
  • TABLE 151. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2018-2023 (USD MILLION)
  • TABLE 152. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY SERVICES, 2024-2030 (USD MILLION)
  • TABLE 153. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
  • TABLE 154. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 155. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2018-2023 (USD MILLION)
  • TABLE 156. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 157. INDIA ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY END-USER, 2018-2023 (USD MILLION)
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  • TABLE 169. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
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目次
Product Code: MRR-43492DACC312

[189 Pages Report] The Artificial Intelligence in Medical Diagnostics Market size was estimated at USD 1.00 billion in 2023 and expected to reach USD 1.16 billion in 2024, at a CAGR 17.23% to reach USD 3.04 billion by 2030.

Artificial intelligence (AI) in the medical diagnostics market encompasses the development, implementation, and application of AI-based technologies and systems to analyze clinical data, identify patterns, and derive insights for improved diagnostic accuracy and patient care. The increasing prevalence of chronic disease conditions has surged the need for enhanced imaging analysis in diagnostic applications. Rising government initiatives to promote the integration of AI/ML technologies in precision medicine and wearable devices have enhanced product development, significantly contributing to market growth. However, increasing incidences of product failures and the difficulty of AI integration with existing diagnostic systems may limit the market adoption of AI-enabled diagnostic solutions. Data privacy and security breach issues have emerged as concerning factors for market growth. Moreover, the introduction of diagnostic robotics and advanced AI technologies for medical diagnosis has created attractive opportunities for market growth. The advancing start-up ecosystem and expansion of smart hospitals are expected to leverage AI technology in medical diagnostics to bolster the growth of the market.

KEY MARKET STATISTICS
Base Year [2023] USD 1.00 billion
Estimated Year [2024] USD 1.16 billion
Forecast Year [2030] USD 3.04 billion
CAGR (%) 17.23%

Component: Availability of a diverse range of software components to offer enhanced diagnostics decision

Hardware is a key component of AI in medical diagnostics which refers to physical devices such as embedded systems, sensors, and medical imaging devices necessitated for AI computation. Sensors and IoT devices are major hardware used to collect patient data and transmit it to AI systems for analysis. Hardware environments require hardware for data encryption, access control, and compliance with data protection regulations. Services include training, maintenance, installation, and customization of AI medical diagnostics, which offer tele-monitoring and tele-consultation using the technology. Telemonitoring includes remote diagnostics and continuous monitoring of the patient's health, particularly beneficial for chronically ill patients, elderly people, and individuals residing in remote areas. Tele-consultation democratizes access to expert medical consultation irrespective of geographical barriers and is predominantly useful for follow-ups, preliminary diagnoses, and rural healthcare. Software forms an integral part of AI in medical diagnostics, leveraging sophisticated algorithms, machine learning, and deep learning models to analyze complex medical data. It helps to interpret scans, identify anomalies, and predict patient prognosis and treatment responses. This software may include image analysis tools, diagnostics decision support systems, genome analysis software, and pathology & microscopy analysis, among others.

Technology: Extensive advancements in computer vision technologies for improved image analysis

Computer vision involves training artificial intelligence (AI) to interpret and understand the visual world. In medical diagnostics, this technology has revitalized procedures such as image-guided surgeries and automated reading of radiology reports. Computer vision is crucial in radiology and pathology, where large volumes of image data are interpreted. Machine Learning platforms enable computer systems to improve with experience, and they excel in predicting disease progression and diagnosing conditions at early stages. This technology is used in the diagnosis process and management of chronic diseases such as diabetes or heart disease, which require continuous monitoring and timely interventions. Natural language processing (NLP) allows AI to understand and interpret human language. It is effective in streamlining administrative tasks and extracting essential information from medical records for patient care. Robotic process automation (RPA) is leveraging software robots to automate routine tasks and is efficient in automating laboratory results, updating patient records, and booking appointments. RPA can automate the entire laboratory process in large-scale hospitals, eliminating errors and speeding up diagnoses.

Application: Adoption of AI in cardiology segment to enhance diagnostic accuracy

Artificial intelligence has shown promising results in cardiology, including the early detection and treatment of heart diseases. Using AI algorithms, medical professionals can predict a patient's risk of cardiac arrest, strokes, and heart disease based on their health records and cardiac images. It has also been successful in flagging anomalies in electrocardiogram (ECG) data, aiding doctors in diagnosing rhythmic heart disorders more accurately. Neurological disorders, often complex and difficult to diagnose, significantly benefit from AI's capacity to recognize patterns in voluminous data. AI is pivotal in the early detection of conditions such as Alzheimer's, Parkinson's, and multiple sclerosis by analyzing brain imaging scans and identifying minute changes that the human eye may overlook. Using pattern recognition, AI can identify abnormalities in radiology images that can indicate cancer, often catching early-stage tumors before they become more life-threatening. AI models can also be utilized to formulate personalized treatment plans based on individual cancer genetic makeup. AI has revolutionized pathology by speeding up disease diagnostics with the surge of computational pathology, as AI-driven algorithms can instantaneously analyze tissue samples to detect abnormalities, diseases, and infections. Utilizing deep learning techniques, AI can evaluate medical images such as X-rays, CT scans, and MRI scans to detect signs of diseases, including pneumonia, brain tumors, and fractures. In pulmonology, AI is used to predict and manage chronic conditions such as asthma and COPD, and it helps with the early detection of lung cancer via the analysis of CT scans and interpretation of pulmonary function tests. Ophthalmology uses AI algorithms for diagnosing various eye diseases. Deep learning models can analyze retinal photos to detect diabetic retinopathy in its early stages, significantly reducing the risk of blindness.

End-User: Utilization of AI for large data set diagnosis in hospitals and clinics

Within academic institutions and research centers, AI is a focal point of exploration and innovation. Scientists and researchers leverage AI to devise new methodologies for early disease detection, facilitating faster and more efficient diagnosis and, in turn, enabling timely intervention. In diagnostic centers, AI is revolutionizing patient care with machine learning models and image recognition software, enabling enhanced diagnostic imaging. AI algorithms can analyze MRI scans, X-rays, and CT scans to detect and classify anomalies; this includes even minor abnormalities that can often escape unaided human interpretation. These tools facilitate more accurate diagnoses and reduce the scope of manual errors, supporting the timely beginning of an appropriate course of treatment. Hospitals, integral parts of the frontline healthcare system, are witnessing an impactful integration of AI in various capacities. Predominantly, it assists physicians in disease diagnosis by analyzing patient data and presenting key insights to the physician in real-time. By adopting AI-powered tools, hospitals can improve upon traditional patient care models, expedite the diagnosis process, and ultimately deliver improved treatment outcomes.

Regional Insights

Significant investments in AI for healthcare in the United States have led to groundbreaking research and advancements in medical diagnostics. Major countries such as the United States and Canada have the strong presence of key players equipped with technological capabilities to revolutionize medical diagnostics services through artificial intelligence integration. Europe has witnessed the emergence of several startups and established companies producing AI-driven solutions for research & development in medical diagnostics. Ongoing collaboration activities between governments, researchers, and industry players across the EMEA region are playing a crucial role to drive innovation market growth in the medical diagnostics sector. Significant countries in the APAC region, including China, Japan, and India, support regional players to leverage their expertise in robotics and advanced technologies to develop AI-driven diagnostic tools. Artificial Intelligence (AI) in medical diagnostics in the APAC has witnessed significant growth owing to its large population base, evolving healthcare infrastructure, and increasing adoption of advanced technologies.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Medical Diagnostics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Medical Diagnostics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Medical Diagnostics Market, highlighting leading vendors and their innovative profiles. These include 3M Company, AiCure, LLC, Aidoc Medical Ltd., Butterfly Network, Inc., Cera Care Limited, Cisco Systems, Inc., Corti - AI, Digital Diagnostics Inc., Edifecs, Inc., Enlitic, Inc., Epredia by PHC Holdings Corporation, Freenome Holdings, Inc., GE HealthCare Technologies, Inc., General Vision, Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Imagen Technologies, Inc., Intel Corporation, International Business Machines Corporation, Johnson & Johnson Services, Inc., Kantify, Koninklijke Philips N.V., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NEC Corporation, NVIDIA Corporation, Persistent Systems Limited, Qure.ai Technologies Private limited, Siemens Healthineers AG, SigTuple Technologies Private Limited, Stryker Corporation, Tempus Labs, Inc., and VUNO Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Medical Diagnostics Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
    • Services
      • Tele Monitoring
      • Tele-Consultation
    • Software
  • Technology
    • Computer Vision
    • Machine Learning Platforms
    • Natural Language Processing
    • Robotic Processes Automation
  • Application
    • Cardiology
    • Neurology
    • Oncology
    • Ophthalmology
    • Pathology
    • Pulmonology
  • End-User
    • Academic Institutions & Research Center
    • Diagnostic Center
    • Hospitals
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Artificial Intelligence in Medical Diagnostics Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Medical Diagnostics Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Medical Diagnostics Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Medical Diagnostics Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Medical Diagnostics Market?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Prevalence of chronic diseases and need for enhanced imaging analysis
      • 5.1.1.2. Government initiatives to promote the integration of AI/ML technologies in healthcare
      • 5.1.1.3. Adoption of AI technologies in precision medicine and wearable devices
    • 5.1.2. Restraints
      • 5.1.2.1. Chances of failures and difficulty of integration with existing systems
    • 5.1.3. Opportunities
      • 5.1.3.1. Introduction of diagnostic robotics and advanced AI technologies for medical diagnosis
      • 5.1.3.2. Advancing start-up ecosystem and expansion of smart hospitals
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns regarding data privacy and security breaches
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Availability of a diverse range of software components to offer enhanced diagnostics decision
    • 5.2.2. Technology: Extensive advancements in computer vision technologies for improved image analysis
    • 5.2.3. Application: Adoption of AI in cardiology segment to enhance diagnostic accuracy
    • 5.2.4. End-User: Utilization of AI for large data set diagnosis in hospitals and clinics
  • 5.3. Market Trend Analysis
    • 5.3.1. Increasing adoption of AI-based medical diagnosis tools in the Americas region due to supportive government policies and strong market presence
    • 5.3.2. Favorable government initiatives and evolving healthcare infrastructure show immense opportunity for AI in healthcare diagnostics in APAC
    • 5.3.3. Strong public-private investment scenario for AI in medical diagnostics across EMEA, backed by substantial R&D activities by emerging and established startups in the region
  • 5.4. Cumulative Impact of High Inflation
  • 5.5. Porter's Five Forces Analysis
    • 5.5.1. Threat of New Entrants
    • 5.5.2. Threat of Substitutes
    • 5.5.3. Bargaining Power of Customers
    • 5.5.4. Bargaining Power of Suppliers
    • 5.5.5. Industry Rivalry
  • 5.6. Value Chain & Critical Path Analysis
  • 5.7. Regulatory Framework Analysis

6. Artificial Intelligence in Medical Diagnostics Market, by Component

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Services
  • 6.4. Software

7. Artificial Intelligence in Medical Diagnostics Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Machine Learning Platforms
  • 7.4. Natural Language Processing
  • 7.5. Robotic Processes Automation

8. Artificial Intelligence in Medical Diagnostics Market, by Application

  • 8.1. Introduction
  • 8.2. Cardiology
  • 8.3. Neurology
  • 8.4. Oncology
  • 8.5. Ophthalmology
  • 8.6. Pathology
  • 8.7. Pulmonology

9. Artificial Intelligence in Medical Diagnostics Market, by End-User

  • 9.1. Introduction
  • 9.2. Academic Institutions & Research Center
  • 9.3. Diagnostic Center
  • 9.4. Hospitals

10. Americas Artificial Intelligence in Medical Diagnostics Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Artificial Intelligence in Medical Diagnostics Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Medical Diagnostics Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. XtalPi and CK Extend Partnership to Develop AI Cancer Diagnostic Models
    • 13.3.2. VUNO Secures FDA 510(k) Clearance for VUNO Med-DeepBrain
    • 13.3.3. Aidoc Expands its Partnership with GLEAMER to Enhance its Chest Imaging AI Suite
    • 13.3.4. Enlitic and Blackford Join Forces to Revolutionize Medical Imaging Data Standardization
    • 13.3.5. GE HealthCare Signs USD 44 Million Contract with BARDA to Develop Artificial Intelligence-Augmented Ultrasound Technology to Aid Clinicians in Diagnosing and Treating Traumatic Injury
    • 13.3.6. Nanox Announces Strategic Manufacturing Agreement with Varex Imaging Corporation to Advance the Nanox.ARC Medical Imaging System
    • 13.3.7. Corti's AI-Powered Healthcare Solution Attracts USD 60 Million Investment
    • 13.3.8. Aidoc Launches AI-based Full Brain Solution for Stroke Detection
    • 13.3.9. Butterfly Network Announces New FDA-Cleared AI-Enabled Lung Tool
    • 13.3.10. SigTuple Raises USD 4.3 Million in Series C Round
    • 13.3.11. GE HealthCare to Acquire Caption Health, Expanding Ultrasound to Support New Users Through FDA-Cleared, AI-Powered Image Guidance
    • 13.3.12. Microsoft Strikes Partnership with Paige to Advance Cancer Diagnostics and Treatment

14. Competitive Portfolio

  • 14.1. Key Company Profiles
  • 14.2. Key Product Portfolio