ヘルスケア診断における人工知能市場：コンポーネント、技術、用途、エンドユーザー別-2025～2030年の世界予測

ヘルスケア診断における人工知能市場は、2023年に21億米ドルと評価され、2024年には25億3,000万米ドルに達すると予測され、CAGR 21.23％で成長し、2030年には80億8,000万米ドルに達すると予測されています。

ヘルスケア診断における人工知能（AI）の範囲は、複雑な医療データの分析、解釈、理解において、人間の認知を近似するアルゴリズムとソフトウェアの使用を包含します。AIは、診断プロセスのスピードと精度を大幅に向上させ、医療ミスを減らし、病院やクリニックの業務を合理化する可能性があるため、このセグメントで必要とされています。この技術は、画像分析、個別化医療、予測分析、日常的な臨床作業の自動化などに応用されます。エンドユーザーには病院、診断ラボ、研究機関などが含まれ、業務効率の向上と患者の転帰の改善を目指しています。

市場成長の原動力は、慢性疾患の蔓延、医療データの増加、AI技術の進歩などの要因です。インテリジェントな意思決定のためにビッグデータを活用するAI駆動ツールを統合する医療プロバイダーによる投資の拡大も大きいです。カスタムAIソリューションを開発するためのハイテク企業と医療プロバイダーとのパートナーシップには、潜在的なビジネス機会が存在します。クラウドベースのAIソリューションへの投資や、新興市場におけるAI能力の拡大は、大きなビジネス価値をもたらす可能性があります。このような機会を捉えるための推奨事項には、共同イノベーションに注力することや、データプライバシーに関する懸念に対処した拡大可能なAIソリューションを開発することなどが含まれます。

しかし、市場はAI統合の高コスト、データプライバシーの問題、標準化された規制の必要性などの限界に直面しています。課題には、AIモデルを効果的にトレーニングするための大規模なデータセットの要件や、AI実装における既存のスキルギャップが含まれます。これらの課題を解決するために、企業はトレーニングプログラムや共同研究イニシアティブに投資することができます。イノベーションと研究に最適なセグメントとしては、希少疾患診断のためのAIシステムの開発、透明性の高い医療意思決定のための説明可能なAIの開発、プラットフォーム間でのシームレスなデータ交換を促進する相互運用可能なシステムの構築などが挙げられます。市場は競争的であり、急速な技術進歩や、より個別化された効率的な診断ケアに対する消費者の期待の進化が顕著であるため、絶え間ないイノベーションと市場の関連性を維持するための機敏なアプローチが求められます。

市場力学：急速に進化するヘルスケア診断における人工知能市場の主要市場洞察を公開

ヘルスケア診断における人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネス機会の獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 医療研究セグメントにおける人工知能の採用増加
  • 先進的疾病診断ソリューションの採用増加
  • 高齢者向けのAIベースのツールやソフトウェアの可能性の高まり
• 市場抑制要因
  • 医療産業における人工知能の訓練を受けた専門家や専門知識の不足
• 市場機会
  • 政府と民間セクターによる人工知能への投資の加速
  • AIベースのヘルスケア診断ツールに対する政府承認の急増
• 市場課題
  • 医療データのプライバシーと規制遵守のためのガイドラインに関する懸念

ポーターのファイブフォース：ヘルスケア診断における人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、市場情勢の競合情勢を理解するための重要なツールです。ポーターのファイブフォースフレームワークは、企業の競合を評価し、戦略的機会を探るための明確な手法を記載しています。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これら洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：ヘルスケア診断における人工知能市場における外部からの影響の把握

外部マクロ環境要因は、ヘルスケア診断における人工知能市場の業績力学を形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を記載しています。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析：ヘルスケア診断における人工知能市場における競合情勢の把握

ヘルスケア診断における人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、セグメント化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニングマトリックス：ヘルスケア診断における人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、ヘルスケア診断における人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標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。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨：ヘルスケア診断における人工知能市場における成功への道筋を描く

ヘルスケア診断における人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネス機会を活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目セグメントを網羅した市場の包括的な分析を提供しています。

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力を評価します。

2.市場の開拓度：新興市場における成長機会を特定し、既存セグメントにおける拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを記載しています。

3.市場の多様化：最近の製品発売、未開拓の地域、産業の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発とイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています。

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、地域はどこか？

3.市場を形成する主要技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

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 市場概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 医学研究セグメントにおける人工知能の導入増加
    • 先進的疾患診断ソリューションの導入増加
    • 高齢者向けのAIベースのツールとソフトウェアの潜在的可能性の拡大
  • 抑制要因
    • 医療産業における人工知能の訓練を受けた専門家と専門知識の不足
  • 機会
    • 政府と民間セクターによる人工知能への投資の加速
    • AIベースのヘルスケア診断ツールに対する政府承認の増加
  • 課題
    • 医療データのプライバシーと規制遵守のガイドラインに関する懸念
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治
  • 経済
  • 社会
  • 技術
  • 法律
  • 環境

第6章 ヘルスケア診断における人工知能市場：コンポーネント別

• イントロダクション
• ハードウェア
• サービス
• ソフトウェア

第7章 ヘルスケア診断における人工知能市場：技術別

• イントロダクション
• コンピュータビジョン
• コンテキスト認識コンピューティング
• 機械学習
• 自然言語処理

第8章 ヘルスケア診断における人工知能市場：用途別

• イントロダクション
• 心臓病学
• 胸部と肺のスキャン
• 神経学
• 腫瘍学
• 病理学
• 放射線科

第9章 ヘルスケア診断における人工知能市場：エンドユーザー別

• イントロダクション
• 学術機関・研究センター
• 診断センター
• 病院

第10章 南北アメリカのヘルスケア診断における人工知能市場

• イントロダクション
• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第11章 アジア太平洋のヘルスケア診断における人工知能市場

• イントロダクション
• 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・アフリカのヘルスケア診断における人工知能市場

• イントロダクション
• 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年
• FPNVポジショニングマトリックス、2023年
• 競合シナリオ分析
  • Vuno、AI医療画像分析技術で米国特許を取得
  • CLIRNETがインド初のAI搭載医師アシスタント（AiDA）を発表
  • 英国政府は診断の迅速化を支援するためにAI医療技術に1,600万ポンドを投資
  • Philips、ECRでAI搭載の統合診断を紹介
  • Microsoft、ベトナムで初のAI医療パートナーシップを締結
  • Bayer、英国の医療画像AI開発会社ブラックフォードを買収
  • AI医療画像スタートアップQritiveが最新の資金調達で750万米ドルを調達
  • Mayo Clinic、人工知能を活用した診断のパートナーシップを拡大
  • Beckman Coulter、救急科向けにエビデンス別の臨床意思決定支援を提供する人工知能企業を買収
  • RadNetががん検出アルゴリズムでFDAの認可を取得
• 戦略分析と提言

企業一覧

• Accenture PLC
• Advanced Micro Devices, Inc
• Aidence B.V.
• Aidoc Medical Ltd.
• Amazon Web Services, Inc.
• Apixo, Inc.
• Appinventiv Technologies Pvt. Ltd.
• Arterys Inc.
• Butterfly Network, Inc.
• Caption Health, Inc.
• CloudMedx Inc.
• Day Zero Diagnostics Inc.
• Digital Diagnostics Inc.
• EchoNous Inc.
• Enlitic, Inc
• GE HealthCare Technologies Inc.
• Google LLC
• HeartFlow, Inc.
• Intel Corporation
• International Business Machines Corporation
• Koninkliike Philips N.V.
• Lunit Inc.
• Medtronic PLC
• Microsoft Corporation
• Nano-X Imaging Ltd.
• NovaSignal Corporation
• Nvidia Corporation
• Prognos Health Inc.
• Siemens Healthcare Private Limited
• SolutionChamps Technologies Pvt. Ltd.
• Sophia Genetics S A

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CONTEXT-AWARE COMPUTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY CHEST & LUNG SCANNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY RADIOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY ACADEMIC INSTITUTIONS & RESEARCH CENTER, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY DIAGNOSTIC CENTER, BY REGION, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 28. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 30. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 31. AMERICAS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 32. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 34. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 35. ARGENTINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 38. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 39. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 42. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 43. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 45. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 46. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 52. UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 56. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 57. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 59. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 60. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 61. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 62. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 63. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 64. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 65. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 66. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 67. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 68. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 70. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 71. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 72. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 73. INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 74. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 75. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 76. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 77. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 78. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 79. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 80. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 81. MALAYSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 82. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 83. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 84. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. PHILIPPINES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 86. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 87. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 88. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 89. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 90. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 91. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 92. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 93. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 94. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 95. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 96. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 98. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 99. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 100. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 102. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 103. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 104. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 105. VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 106. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 107. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 108. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 109. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 110. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 111. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 112. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 113. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 114. DENMARK ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 115. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 116. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 117. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 118. EGYPT ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 119. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 120. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 121. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 122. FINLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 123. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 124. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 125. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 126. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 127. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 128. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 129. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 131. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 132. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 133. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 134. ISRAEL ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 135. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 136. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 137. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 138. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 139. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 140. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 141. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 142. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 143. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 144. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 145. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 146. NIGERIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 147. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 148. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 149. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 150. NORWAY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 151. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 152. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 153. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 154. POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 155. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 156. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 157. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 158. QATAR ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 159. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 160. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 161. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 162. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 163. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 164. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 165. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 166. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 167. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 168. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 169. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 170. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 171. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 172. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 173. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 174. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 175. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 176. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 177. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 178. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 179. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 180. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 181. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 182. SWITZERLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 183. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 184. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 185. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 186. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 187. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 188. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 189. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 190. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 191. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 192. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 193. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 194. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 195. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 196. ARTIFICIAL INTELLIGENCE IN HEALTHCARE DIAGNOSIS MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Healthcare Diagnosis Market was valued at USD 2.10 billion in 2023, expected to reach USD 2.53 billion in 2024, and is projected to grow at a CAGR of 21.23%, to USD 8.08 billion by 2030.

The scope of artificial intelligence (AI) in healthcare diagnosis encompasses the use of algorithms and software to approximate human cognition in the analysis, interpretation, and comprehension of complicated medical data. AI is necessary in this field due to its potential to substantially improve the speed and accuracy of diagnostic processes, reduce medical errors, and streamline operations in hospitals and clinics. This technology finds applications in imaging analysis, personalized medicine, predictive analytics, and automating routine clinical tasks. End-users include hospitals, diagnostic laboratories, and research institutions, aiming for increased operational efficiency and enhanced patient outcomes.

Market growth is driven by factors such as the rising prevalence of chronic diseases, increasing healthcare data, and advancements in AI technology. The growing investment by healthcare providers to integrate AI-driven tools to leverage big data for intelligent decision-making is also significant. Potential opportunities exist in partnerships between tech companies and healthcare providers to develop custom AI solutions. Investment in cloud-based AI solutions and expanding AI capabilities in emerging markets could provide substantial business value. A recommendation to seize these opportunities includes focusing on collaborative innovation and developing scalable AI solutions that address data privacy concerns.

However, the market faces limitations such as the high cost of AI integration, data privacy issues, and the need for standardized regulations. Challenges include the requirement for large datasets to train AI models effectively and the existing skills gap in AI implementation. To navigate these challenges, businesses can invest in training programs and collaborative research initiatives. The best areas for innovation and research include developing AI systems for rare diseases diagnosis, advancing explainable AI for transparent healthcare decision-making, and creating interoperable systems that facilitate seamless data exchange across platforms. The market is competitive, marked by rapid technological advancements and evolving consumer expectations for more personalized and efficient diagnostic care, demanding constant innovation and an agile approach to maintaining market relevance.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Healthcare Diagnosis Market

The Artificial Intelligence in Healthcare Diagnosis Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising adoption of artificial intelligence in healthcare research areas
  • Increasing adoption of advanced disease diagnostic solutions
  • Growing potential for AI-based tools and software for the geriatric population
• Market Restraints
  • Shortage of trained professionals and expertise in artificial intelligence for the medical industry
• Market Opportunities
  • Accelerating investments by government and private sectors in artificial intelligence
  • Proliferation in government approvals for AI-based healthcare diagnosis tools
• Market Challenges
  • Concern regarding medical data privacy and the guidelines for regulatory compliance

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Healthcare Diagnosis Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Healthcare Diagnosis Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Healthcare Diagnosis Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Healthcare Diagnosis Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Healthcare Diagnosis Market

A detailed market share analysis in the Artificial Intelligence in Healthcare Diagnosis Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Healthcare Diagnosis Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Healthcare Diagnosis Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Healthcare Diagnosis Market

A strategic analysis of the Artificial Intelligence in Healthcare Diagnosis Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.

Market Segmentation & Coverage

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

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Technology, market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.
• Based on Application, market is studied across Cardiology, Chest & Lung Scanning, Neurology, Oncology, Pathology, and Radiology.
• Based on End-user, market is studied across Academic Institutions & Research Center, Diagnostic Center, and Hospitals.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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. Rising adoption of artificial intelligence in healthcare research areas
    • 5.1.1.2. Increasing adoption of advanced disease diagnostic solutions
    • 5.1.1.3. Growing potential for AI-based tools and software for the geriatric population
  • 5.1.2. Restraints
    • 5.1.2.1. Shortage of trained professionals and expertise in artificial intelligence for the medical industry
  • 5.1.3. Opportunities
    • 5.1.3.1. Accelerating investments by government and private sectors in artificial intelligence
    • 5.1.3.2. Proliferation in government approvals for AI-based healthcare diagnosis tools
  • 5.1.4. Challenges
    • 5.1.4.1. Concern regarding medical data privacy and the guidelines for regulatory compliance
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Healthcare Diagnosis Market, by Component

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

7. Artificial Intelligence in Healthcare Diagnosis Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Context-Aware Computing
• 7.4. Machine Learning
• 7.5. Natural Language Processing

8. Artificial Intelligence in Healthcare Diagnosis Market, by Application

• 8.1. Introduction
• 8.2. Cardiology
• 8.3. Chest & Lung Scanning
• 8.4. Neurology
• 8.5. Oncology
• 8.6. Pathology
• 8.7. Radiology

9. Artificial Intelligence in Healthcare Diagnosis 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 Healthcare Diagnosis 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 Healthcare Diagnosis 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 Healthcare Diagnosis 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. Vuno Gets US Patent for AI Medical Image Analysis Technology
  • 13.3.2. CLIRNET Launches India's First AI-Powered Doctor's Assistant (AiDA)
  • 13.3.3. UK Government Invests GBP 16 Million in AI Healthcare Technologies to Help Speed Up Diagnostics
  • 13.3.4. Philips Highlights AI-Powered Integrated Diagnostics at ECR
  • 13.3.5. Microsoft Signs First AI Healthcare Partnership in Vietnam
  • 13.3.6. Bayer Acquires British Medical Imaging AI Developer Blackford
  • 13.3.7. AI Medical Imaging Startup Qritive Raises USD 7.5 Million in Latest Funding
  • 13.3.8. Mayo Clinic Expands Artificial Intelligence-Enabled Diagnostics Partnership
  • 13.3.9. Beckman Coulter Acquires Artificial Intelligence Company Providing Evidence-Based Clinical Decision Support for Emergency Departments
  • 13.3.10. RadNet Receives FDA Clearance for Cancer Detection Algorithms
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture PLC
• 2. Advanced Micro Devices, Inc
• 3. Aidence B.V.
• 4. Aidoc Medical Ltd.
• 5. Amazon Web Services, Inc.
• 6. Apixo, Inc.
• 7. Appinventiv Technologies Pvt. Ltd.
• 8. Arterys Inc.
• 9. Butterfly Network, Inc.
• 10. Caption Health, Inc.
• 11. CloudMedx Inc.
• 12. Day Zero Diagnostics Inc.
• 13. Digital Diagnostics Inc.
• 14. EchoNous Inc.
• 15. Enlitic, Inc
• 16. GE HealthCare Technologies Inc.
• 17. Google LLC
• 18. HeartFlow, Inc.
• 19. Intel Corporation
• 20. International Business Machines Corporation
• 21. Koninkliike Philips N.V.
• 22. Lunit Inc.
• 23. Medtronic PLC
• 24. Microsoft Corporation
• 25. Nano-X Imaging Ltd.
• 26. NovaSignal Corporation
• 27. Nvidia Corporation
• 28. Prognos Health Inc.
• 29. Siemens Healthcare Private Limited
• 30. SolutionChamps Technologies Pvt. Ltd.
• 31. Sophia Genetics S A