医療における人工知能市場：タイプ、用途、エンドユーザー別-2025-2030年の世界予測

医療における人工知能市場の2023年の市場規模は44億4,000万米ドルで、2024年には58億5,000万米ドルに達すると予測され、CAGR 31.97％で成長し、2030年には309億7,000万米ドルに達すると予測されています。

医療における人工知能（AI）は急速に発展している分野であり、医療提供、診断、患者ケアを強化するためにAI技術を応用することが含まれます。この分野におけるAIの必要性は、精度の向上、治療計画の個別化、ヒューマンエラーの削減、管理プロセスの合理化などの可能性によって強調されています。アプリケーションは、疾病管理における予測分析やAI主導の診断から、ロボット手術やバーチャルヘルスアシスタントまで多岐にわたり、病院、研究機関、診療所、バイオテクノロジー企業など複数の最終用途部門にサービスを提供しています。同市場は、ヘルスケア環境におけるデータ量の増加、AIアルゴリズムの進歩、ヘルスケアITへの投資拡大などの要因によって推進されています。主なビジネスチャンスとしては、疾病の早期発見、創薬プロセスの強化、ヘルスケア施設におけるリソース配分の最適化などにAIを導入することが挙げられます。こうした機会を活用するための推奨事項としては、AI人材への投資、テック部門とヘルスケア部門との協力関係の促進、データプライバシーとHIPAAなどの規制枠組みへの準拠の優先などが挙げられます。

市場の成長を妨げる課題としては、データセキュリティへの懸念、AI統合の初期コストの高さ、AIシステムを管理できる熟練した専門家の不足などが挙げられます。また、患者管理にAIを使用することに関連する規制や倫理的配慮も限界のひとつであり、これがAIの採用を遅らせる要因となっています。しかし、希少疾患研究のためのAIの開発、ヘルスケア専門家間の信頼関係を構築するためのAIモデルの解釈可能性の向上、個別化医療のためのAIの活用といった分野でイノベーションを追求することは可能です。市場は本質的にダイナミックであり、絶え間ない進歩と、ニッチなAIヘルスケアソリューションに注力する新興企業の増加によって特徴付けられます。技術の進歩に後れを取らず、分野を超えたパートナーシップを育み、強固なデータガバナンス構造を維持することは、この競合情勢で企業が成功を収めるために極めて重要です。精密医療とリアルタイムの健康分析への重点の高まりは、さらなるイノベーションと市場拡大のための肥沃な土壌を提供します。

市場力学：急速に進化する医療における人工知能市場の主要市場インサイトを公開

医療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チャンス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
  • 創薬の効率化に対する需要の高まり
  • ヘルスケアコスト削減ニーズの高まり
  • コスト削減を実現するためのデジタルトランスフォーメーションの導入重視の高まり
• 市場抑制要因
  • 熟練した専門家の不足
• 市場機会
  • 人間を意識した人工知能システムの開発への注目の高まり
  • 精密医療の重要性の高まり
• 市場の課題
  • データプライバシーに関する懸念の高まり

ポーターのファイブフォース：医療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、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。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。これらの洞察により、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：医療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、医療における人工知能市場の業績ダイナミクス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提供します。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。

市場シェア分析医療における人工知能市場における競合情勢の把握

医療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、断片化、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・マトリックス医療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、医療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つの象限によりベンダーを明確かつ的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。

戦略分析と推奨医療における人工知能市場における成功への道筋を描く

医療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、業績指標を検討することで、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、新たなビジネスチャンス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、主要な注目分野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の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野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提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、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.製品開発およびイノベーション：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、セグメント、地域はどこか？

3.市場を形成する主な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 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 創薬の効率化に対する需要の高まり
    • ヘルスケア費削減の必要性の高まり
    • コスト削減を実現するためにデジタル変革の実践の導入を重視
  • 抑制要因
    • 熟練した専門家の不足
  • 機会
    • 人間を認識する人工知能システムの開発への注目が高まる
    • 精密医療の重要性の高まり
  • 課題
    • データプライバシーに関する懸念の高まり
• 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
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 医療における人工知能市場：タイプ別

• ハードウェア
• サービス
• ソフトウェア

第7章 医療における人工知能市場：用途別

• 病気の診断と特定
• 患者ケア
• 調査と医薬品の発明

第8章 医療における人工知能市場：エンドユーザー別

• アカウンタブルケア組織とマネージドケア組織
• 患者
• 支払者
• 製薬・バイオテクノロジー企業
• プロバイダー

第9章 南北アメリカの医療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10章 アジア太平洋地域の医療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11章 欧州・中東・アフリカの医療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12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
• 戦略分析と提言

企業一覧

• Atomwise, Inc.
• BenevolentAI
• Berg LLC
• Bioxcel Therapeutics, Inc.
• Enlitic Inc.
• Google LLC by Alphabet Inc.
• InSilico Medicine
• Intel Corporation
• International Business Machines Corporation
• Microsoft Corporation
• NVIDIA Corporation
• PathAI, Inc.
• Recursion Pharmaceuticals, Inc.
• Tempus Labs, Inc.
• Verge Analytics, Inc.

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY DISEASE DIAGNOSIS & IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATIENT CARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY RESEARCH & DRUG INVENTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY ACCOUNTABLE CARE ORGANIZATIONS & MANAGED CARE ORGANIZATIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PATIENTS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PAYERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 22. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 23. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 25. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 26. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 27. ARGENTINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 28. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 29. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 30. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 31. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 32. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 33. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 34. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 35. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 36. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 37. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 38. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 39. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 41. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 42. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 43. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 45. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 46. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 48. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 49. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 50. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 51. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 52. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 53. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 54. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 55. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 56. INDONESIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 57. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 58. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 59. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 60. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 61. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 62. MALAYSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 63. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 64. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 65. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 66. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 67. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 68. SINGAPORE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 69. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 70. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 71. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 72. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 73. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 74. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 75. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 76. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 77. THAILAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 78. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 79. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 80. VIETNAM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 81. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 82. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 83. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 85. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 86. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 87. DENMARK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 88. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 89. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 90. EGYPT ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 91. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 92. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 93. FINLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 94. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 95. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 96. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 97. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 98. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 99. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 100. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 101. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 102. ISRAEL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 103. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 104. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 105. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 106. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 107. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 108. NETHERLANDS ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 109. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 110. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 111. NIGERIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 112. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 113. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 114. NORWAY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 115. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 116. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 117. POLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 118. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 119. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 120. QATAR ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 121. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 122. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 123. RUSSIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 124. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 125. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 126. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 127. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 128. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 129. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 130. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 131. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 132. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 133. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 134. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 135. SWEDEN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 136. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 137. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 138. SWITZERLAND ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 139. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 140. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 141. TURKEY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 142. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 143. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 144. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 145. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
• TABLE 146. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 147. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
• TABLE 148. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 149. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Medicine Market was valued at USD 4.44 billion in 2023, expected to reach USD 5.85 billion in 2024, and is projected to grow at a CAGR of 31.97%, to USD 30.97 billion by 2030.

Artificial Intelligence (AI) in medicine is a rapidly evolving field that involves the application of AI technologies to enhance healthcare delivery, diagnostics, and patient care. The necessity of AI in this sector is underscored by its potential to improve accuracy, personalize treatment plans, reduce human error, and streamline administrative processes. Applications range from predictive analytics in disease management and AI-driven diagnostics to robotic surgeries and virtual health assistants, serving multiple end-use sectors such as hospitals, research institutes, clinics, and biotechnology companies. The market is propelled by factors like increasing data volume in healthcare settings, advancements in AI algorithms, and growing investment in healthcare IT. Key opportunities include deploying AI for early detection of diseases, enhancing drug discovery processes, and optimizing resource allocation in healthcare facilities. Recommendations to capitalize on these opportunities involve investing in AI talent, fostering collaborations between tech and healthcare sectors, and prioritizing data privacy and compliance with regulatory frameworks like HIPAA.

Challenges hindering market growth include concerns about data security, high initial costs of AI integration, and a shortage of skilled professionals capable of managing AI systems. Another limitation is the regulatory and ethical considerations associated with using AI for patient management, which can slow its adoption. However, innovation can be pursued in areas such as developing AI for rare disease research, enhancing interpretability of AI models to build trust among healthcare professionals, and leveraging AI for personalized medicine. The market is inherently dynamic, marked by continuous advancements and an increasing number of startups focused on niche AI healthcare solutions. Staying abreast with technological advancements, fostering cross-disciplinary partnerships, and maintaining robust data governance structures are crucial for businesses to thrive in this competitive landscape. The growing emphasis on precision medicine and real-time health analytics offers fertile ground for further innovation and market expansion.

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

The Artificial Intelligence in Medicine 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 demand to improve the efficiency of drug discovery
  • Increase in need to reduce healthcare costs
  • Increased emphasis on adoption of digital transformation practices to realize cost savings
• Market Restraints
  • Unavailability of skilled professionals
• Market Opportunities
  • Rising focus on developing human-aware artificial intelligence systems
  • Growing importance of precision medicine
• Market Challenges
  • Growing concerns regarding data privacy

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Medicine 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 Medicine Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Medicine 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 Medicine Market

A detailed market share analysis in the Artificial Intelligence in Medicine 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 Medicine Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Medicine 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 Medicine Market

A strategic analysis of the Artificial Intelligence in Medicine 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 Medicine Market, highlighting leading vendors and their innovative profiles. These include Atomwise, Inc., BenevolentAI, Berg LLC, Bioxcel Therapeutics, Inc., Enlitic Inc., Google LLC by Alphabet Inc., InSilico Medicine, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, PathAI, Inc., Recursion Pharmaceuticals, Inc., Tempus Labs, Inc., and Verge Analytics, Inc..

Market Segmentation & Coverage

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

• Based on Type, market is studied across Hardware, Services, and Software.
• Based on Application, market is studied across Disease Diagnosis & Identification, Patient Care, and Research & Drug Invention.
• Based on End User, market is studied across Accountable Care Organizations & Managed Care Organizations, Patients, Payers, Pharmaceutical & Biotechnology Companies, and Providers.
• 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 demand to improve the efficiency of drug discovery
    • 5.1.1.2. Increase in need to reduce healthcare costs
    • 5.1.1.3. Increased emphasis on adoption of digital transformation practices to realize cost savings
  • 5.1.2. Restraints
    • 5.1.2.1. Unavailability of skilled professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Rising focus on developing human-aware artificial intelligence systems
    • 5.1.3.2. Growing importance of precision medicine
  • 5.1.4. Challenges
    • 5.1.4.1. Growing concerns regarding data privacy
• 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 Medicine Market, by Type

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

7. Artificial Intelligence in Medicine Market, by Application

• 7.1. Introduction
• 7.2. Disease Diagnosis & Identification
• 7.3. Patient Care
• 7.4. Research & Drug Invention

8. Artificial Intelligence in Medicine Market, by End User

• 8.1. Introduction
• 8.2. Accountable Care Organizations & Managed Care Organizations
• 8.3. Patients
• 8.4. Payers
• 8.5. Pharmaceutical & Biotechnology Companies
• 8.6. Providers

9. Americas Artificial Intelligence in Medicine Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Medicine Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Medicine Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Atomwise, Inc.
• 2. BenevolentAI
• 3. Berg LLC
• 4. Bioxcel Therapeutics, Inc.
• 5. Enlitic Inc.
• 6. Google LLC by Alphabet Inc.
• 7. InSilico Medicine
• 8. Intel Corporation
• 9. International Business Machines Corporation
• 10. Microsoft Corporation
• 11. NVIDIA Corporation
• 12. PathAI, Inc.
• 13. Recursion Pharmaceuticals, Inc.
• 14. Tempus Labs, Inc.
• 15. Verge Analytics, Inc.