予測医療のためのAI市場：コンポーネント、データタイプ、AIモデルタイプ、用途、最終用途別- 世界予測2025年～2030年

予測医療のためのAI市場の2024年の市場規模は88億5,000万米ドルで、2025年にはCAGR 32.49%で116億9,000万米ドルに成長し、2030年には479億3,000万米ドルに達すると予測されています。

近年、ヘルスケア業界は、人工知能（AI）の予測分析への統合を原動力とするパラダイムシフトを目の当たりにしています。この変革は、従来のヘルスケア手法に革命をもたらすだけでなく、よりプロアクティブでデータ主導型の臨床判断の基盤を築きつつあります。AIを活用した予測システムの台頭は、臨床記録からリアルタイムの患者モニタリングに至るまで、膨大なヘルスケアのデータを活用することで、疾患の動向を予測し、治療プロトコルを最適化し、患者の転帰全体を改善できる時代を到来させました。

この新しいエコシステムでは、高度なアルゴリズムが生データを実用的な洞察へと急速に変換しています。洗練された計算モデルと豊富で多次元的なデータセットの融合により、ヘルスケアプロバイダーは、反応的な介入から予測的で予防的な戦略へと移行することができます。臨床医から政策立案者まで、さまざまな利害関係者が、AIがリスク評価、リソース管理、業務効率にもたらす比類ないメリットを認識しています。規制の枠組みが進化し、デジタルの導入ペースが高まるにつれ、予測医療の領域は持続的な成長と患者ケアの強化に向けた態勢が整いつつあります。

予測医療におけるAIの統合には課題がないわけではないです。倫理的配慮、データプライバシー、強固な規制遵守の必要性は、依然として業界の議論の最前線にあります。とはいえ、こうした課題を克服するための取り組みと漸進的なイノベーションに焦点を合わせることで、変革の時代への舞台が整いつつあります。本レポートでは、今日の予測医療を定義する主要な促進要因、市場力学、戦略的セグメンテーションを掘り下げ、意思決定者にとって不可欠な洞察に富んだバランスの取れた物語を提供します。

予測医療市場における変革的シフト

デジタル革命はヘルスケア業界を再形成し、予測分析の領域ほどそれが顕著なところはないです。新たなテクノロジーはイノベーションのペースを加速させ、従来のヘルスケア診療を、優れた精度と効率を提供するダイナミックなテクノロジー対応システムへと変貌させました。AIの進化は、高度な機械学習技術とビッグデータ解析の統合によって顕著に表れており、これらは総体として、早期診断、個別化治療、業務管理において可能なことの限界を押し広げています。

現在、いくつかの転換期が訪れています。第一に、デジタルヘルスとAIの融合が進み、正確なだけでなく常に適応する予測モデルが可能になりました。ヘルスケアプロバイダーは現在、患者のケア経路における重要なポイントでの早期介入を促進するリアルタイムの洞察から恩恵を受けています。第二に、サイロ化されたヘルスケア・データから相互運用可能なデジタル・プラットフォームへの移行により、業務環境が強化されました。この移行により、異種ソースからのデータのシームレスな統合が可能になり、その結果、予測結果の堅牢性と信頼性が向上しています。最後に、患者中心のモデルが重視されるようになったことで、状態を継続的に監視するように設計されたツールの開発が推進され、それにより、エピソードケアへの依存が減り、全体的な患者管理が改善されるようになりました。

こうしたシフトは、研究開発への継続的な投資によって最先端のソリューションへの道が開かれた、国際的な技術革新の推進力によって補完されています。業界がより統合的で予測可能なモデルへと移行する中、利害関係者はこれらの新たな動向を活用し、将来のヘルスケア課題に対応できる、より弾力的で患者中心のケアモデルを構築するため、機敏性を維持する必要があります。

プレディクティブ・ヘルスケアのための主要なセグメンテーション洞察の深掘り

市場セグメンテーションの包括的な理解は、複雑な予測医療の展望をナビゲートするために不可欠です。セグメンテーション分析では、市場成長を総体的に促進する様々なコンポーネント、データタイプ、AIモデル、用途、最終用途の詳細なビューを提供します。

構成要素に基づいて市場を調査すると、業界がハードウェア、サービス、ソフトウェアの各セグメントにまたがって構成されていることが明らかになります。ハードウェアの要素はさらに、センサーやIoTデバイス、データ収集と処理に不可欠なサーバーに分類されます。一方、サービス部門はコンサルティング、統合と実装、メンテナンスとサポートに重点を置き、ヘルスケア機関が包括的な指導と技術支援を受けられるようにしています。ソフトウェア分野は、データ分析プラットフォーム、意思決定支援システム、機械学習アルゴリズム、予測分析ソフトウェアなど、ヘルスケアソリューションの予測精度と拡張性を支える特殊なアプリケーションで極めて重要な役割を果たしています。

データの種類から見ると、臨床データ、電子カルテ、ゲノムデータ、IoTベースの健康データ、医療画像データ、患者モニタリングデータ、ウェアラブル健康機器データによって、市場の区分が強調されています。この多様性により、予測モデルが多様なデータセットによって豊かになり、より大きな洞察と患者の転帰改善への道が開かれます。さらに、AIモデルのタイプに基づくセグメンテーションでは、強化学習、半教師あり学習、教師あり学習、教師なし学習が主要なアプローチとして特定され、それぞれがインテリジェントなアルゴリズムの開発に独自に貢献しています。アプリケーションベースのセグメンテーションでは、診断と画像処理、創薬と開発、ゲノムと精密医療、医療運営管理、患者管理、ウェアラブルデバイスによる遠隔モニタリング、リスク管理と不正検知に及んでおり、これら全体が市場ダイナミクスの全体像を示しています。最後に、エンドユース別のセグメンテーションでは、診断センター、政府・公衆衛生機関、医療保険プロバイダー、病院・ヘルスケアプロバイダー、製薬・バイオテクノロジー会社、研究開発機関を対象としており、AIがヘルスケアエコシステムのあらゆる側面に浸透していることを示しています。

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
    • 慢性疾患の増加により、より効率的で予測的なヘルスケアソリューションが必要
    • パーソナライズ医療の需要の高まりにより、予測医療ソリューションにおけるAIの導入が促進される
  • 抑制要因
    • 予測医療のためのAIの実装に関連する初期コストが高い
  • 機会
    • 病院のリソース管理に予測分析を統合し、運用効率を最適化
    • 患者の健康状態を改善するAI駆動型予測医療ソリューションの開発
  • 課題
    • 予測医療のためのAIに関連するデータのプライバシーとセキュリティに関する懸念
• 市場セグメンテーション分析
  • コンポーネント：膨大な量のヘルスケアデータを処理および分析し、実用的な洞察を導き、患者ケアを改善するソフトウェアの重要な役割
  • 最終用途：病院やヘルスケア提供者による予測医療におけるAIの広範な活用
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 予測医療のためのAI市場：コンポーネント別

• ハードウェア
  • センサーとIoTデバイス
  • サーバー
• サービス
  • コンサルティング
  • 統合と実装
  • メンテナンスとサポート
• ソフトウェア
  • データ分析プラットフォーム
  • 意思決定支援システム
  • 機械学習アルゴリズム
  • 予測分析ソフトウェア

第7章 予測医療のためのAI市場：データタイプ別

• 臨床データ
• 電子健康記録（EHR）
• ゲノムデータ
• IoTベースの健康データ
• 医療画像データ
• 患者モニタリングデータ
• ウェアラブルヘルスデバイスデータ

第8章 予測医療のためのAI市場：AIモデルタイプ別

• 強化学習
• 半教師あり学習
• 教師あり学習
• 教師なし学習

第9章 予測医療のためのAI市場：用途別

• 診断と画像診断
• 医薬品の発見と開発
• ゲノミクスと精密医療
• ヘルスケアオペレーション管理
• 患者管理
• リモートモニタリングとウェアラブルデバイス
• リスク管理と不正検出

第10章 予測医療のためのAI市場：最終用途別

• 診断センター
• 政府および公衆衛生機関
• ヘルスケア保険プロバイダー
• 病院およびヘルスケア提供者
• 製薬・バイオテクノロジー企業
• 研究開発（R&D）機関

第11章 南北アメリカの予測医療のためのAI市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第12章 アジア太平洋地域の予測医療のためのAI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13章 欧州・中東・アフリカの予測医療のためのAI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14章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Aidoc Medical Ltd.
• Aiforia Technologies
• Amazon Web Services, Inc.
• Athenahealth Inc.
• Bigfinite Inc., dba Aizon
• CloudMedx Inc.
• CognitiveCare Inc.
• Epic Systems Corporation
• Exscientia Ltd.
• Flatiron Health
• GE Healthcare
• Health Catalyst
• Intel Corporation
• International Business Machines Corporation
• Koninklijke Philips N.V.
• Medtronic plc
• Microsoft Corporation
• NVIDIA Corporation
• PathAI Inc.
• Proscia Inc.
• Sensely, Inc.
• Siemens Healthineers
• SOPHiA GENETICS
• Tempus Labs Inc.
• Wipro Limited

LIST OF FIGURES

• FIGURE 1. AI FOR PREDICTIVE HEALTHCARE MARKET MULTI-CURRENCY
• FIGURE 2. AI FOR PREDICTIVE HEALTHCARE MARKET MULTI-LANGUAGE
• FIGURE 3. AI FOR PREDICTIVE HEALTHCARE MARKET RESEARCH PROCESS
• FIGURE 4. AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
• FIGURE 15. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2024 VS 2030 (%)
• FIGURE 17. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 19. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 21. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 23. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 24. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 25. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 26. AI FOR PREDICTIVE HEALTHCARE MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 27. AI FOR PREDICTIVE HEALTHCARE MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. AI FOR PREDICTIVE HEALTHCARE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. AI FOR PREDICTIVE HEALTHCARE MARKET DYNAMICS
• TABLE 7. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SENSORS & IOT DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY INTEGRATION & IMPLEMENTATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY MAINTENANCE & SUPPORT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA ANALYTICS PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY CLINICAL DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY ELECTRONIC HEALTH RECORDS (EHR), BY REGION, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY GENOMIC DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY IOT-BASED HEALTH DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY MEDICAL IMAGING DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 29. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY PATIENT MONITORING DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 30. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY WEARABLE HEALTH DEVICE DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 32. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 33. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SEMI-SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 34. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 35. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 36. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 37. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DIAGNOSTICS & IMAGING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 38. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DRUG DISCOVERY & DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 39. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY GENOMICS & PRECISION MEDICINE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 40. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HEALTHCARE OPERATIONS MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 41. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY PATIENT MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 42. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY REMOTE MONITORING & WEARABLE DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 43. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY RISK MANAGEMENT & FRAUD DETECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 44. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 45. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DIAGNOSTICS CENTERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 46. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY GOVERNMENT & PUBLIC HEALTH ORGANIZATIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 47. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HEALTHCARE INSURANCE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 48. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HOSPITALS & HEALTHCARE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 49. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY PHARMACEUTICAL & BIOTECH COMPANIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 50. GLOBAL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY RESEARCH & DEVELOPMENT (R&D) INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 51. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 52. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 53. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 54. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 55. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 56. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 57. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 59. AMERICAS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 60. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 61. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 62. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 63. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 64. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 65. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 66. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 67. ARGENTINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 68. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 69. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 70. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 71. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 72. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 73. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 74. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. BRAZIL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 76. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 77. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 78. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 79. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 80. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 81. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 82. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 83. CANADA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 84. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 85. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 86. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 87. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 88. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 89. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 90. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. MEXICO AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 92. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 93. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 94. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 95. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 96. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 97. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 98. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 99. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 100. UNITED STATES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 101. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 102. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 103. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 104. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 105. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 106. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 107. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 108. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 109. ASIA-PACIFIC AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 110. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 111. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 112. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 113. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 114. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 115. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 116. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 117. AUSTRALIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 118. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 119. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 120. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 121. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 122. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 123. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 124. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. CHINA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 126. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 127. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 128. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 129. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 130. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 131. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 132. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. INDIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 134. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 135. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 136. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 137. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 138. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 139. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 140. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 141. INDONESIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 142. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 143. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 144. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 145. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 146. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 147. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 148. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. JAPAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 150. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 151. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 152. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 153. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 154. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 155. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 156. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 157. MALAYSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 158. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 159. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 160. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 161. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 162. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 163. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 164. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 165. PHILIPPINES AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 166. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 167. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 168. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 169. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 170. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 171. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 172. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 173. SINGAPORE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 174. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 175. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 176. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 177. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 178. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 179. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 180. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 181. SOUTH KOREA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 182. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 183. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 184. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 185. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 186. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 187. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 188. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 189. TAIWAN AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 190. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 191. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 192. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 193. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 194. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 195. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 196. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 197. THAILAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 198. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 199. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 200. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 201. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 202. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 203. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 204. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 205. VIETNAM AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 206. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 207. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 208. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 209. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 210. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 211. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 212. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 213. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 214. EUROPE, MIDDLE EAST & AFRICA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 215. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 216. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 217. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 218. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 219. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 220. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 221. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 222. DENMARK AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 223. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 224. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 225. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 226. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 227. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 228. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 229. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 230. EGYPT AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 231. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 232. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 233. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 234. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 235. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 236. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 237. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 238. FINLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 239. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 240. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 241. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 242. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 243. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 244. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 245. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 246. FRANCE AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 247. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 248. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 249. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 250. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 251. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 252. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 253. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 254. GERMANY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 255. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 256. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 257. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 258. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 259. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 260. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 261. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 262. ISRAEL AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 263. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 264. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 265. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 266. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 267. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 268. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 269. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 270. ITALY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 271. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 272. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 273. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 274. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 275. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 276. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 277. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 278. NETHERLANDS AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 279. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 280. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 281. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 282. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 283. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 284. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 285. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 286. NIGERIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 287. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 288. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 289. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 290. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 291. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 292. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 293. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 294. NORWAY AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 295. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 296. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 297. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 298. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 299. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 300. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 301. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 302. POLAND AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 303. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 304. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 305. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 306. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 307. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 308. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 309. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 310. QATAR AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 311. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 312. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 313. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 314. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 315. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
• TABLE 316. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY AI MODEL TYPE, 2018-2030 (USD MILLION)
• TABLE 317. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 318. RUSSIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 319. SAUDI ARABIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 320. SAUDI ARABIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 321. SAUDI ARABIA AI FOR PREDICTIVE HEALTHCARE MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 322. SAUDI A

The AI for Predictive Healthcare Market was valued at USD 8.85 billion in 2024 and is projected to grow to USD 11.69 billion in 2025, with a CAGR of 32.49%, reaching USD 47.93 billion by 2030.

In recent years, the healthcare industry has witnessed a paradigm shift driven by the integration of artificial intelligence (AI) into predictive analytics. This transformation is not only revolutionizing traditional healthcare methodologies but also laying the foundation for more proactive, data-driven clinical decisions. The rise of AI-powered predictive systems has ushered in an era where vast volumes of healthcare data - ranging from clinical records to real-time patient monitoring - can be harnessed to anticipate disease trends, optimize treatment protocols, and improve overall patient outcomes.

In this new ecosystem, advanced algorithms are rapidly transforming raw data into actionable insights. The melding of sophisticated computational models with rich, multi-dimensional datasets enables healthcare providers to shift from reactive interventions to anticipatory and preventive strategies. Stakeholders across the spectrum, from clinicians to policy makers, are recognizing the unparalleled benefits that AI brings to risk assessment, resource management, and operational efficiency. As regulatory frameworks evolve and the pace of digital adoption increases, the realm of predictive healthcare is poised for sustainable growth and enhanced patient care.

The integration of AI in predictive healthcare is not without challenges. Ethical considerations, data privacy, and the need for robust regulatory compliance remain at the forefront of industry discussions. Nevertheless, the focus on incremental innovation paired with a commitment to overcoming these challenges is setting the stage for a transformative era. This report delves into the key drivers, market dynamics, and strategic segmentation that define today's predictive healthcare landscape, offering a balanced narrative enriched with insights essential for decision-makers.

Transformative Shifts in the Predictive Healthcare Market

The digital revolution has reshaped the healthcare industry, and nowhere is this more evident than in the realm of predictive analytics. Emerging technologies have accelerated the pace of innovation, transforming conventional healthcare practices into dynamic, technology-enabled systems that offer superior precision and efficiency. AI's evolution has been marked by an integration of advanced machine learning techniques and big data analytics, which collectively push the envelope on what is possible in early diagnosis, personalized treatment, and operational management.

There are several transformative shifts in play. First, an increased convergence of digital health and AI has enabled predictive models that are not only accurate but also constantly adaptive. Healthcare providers now benefit from real-time insights that facilitate early interventions during critical points in a patient's care pathway. Second, the transition from siloed healthcare data toward interoperable digital platforms has enhanced the operational landscape. This transition enables the seamless integration of data from disparate sources, which in turn increases the robustness and reliability of predictive outcomes. Lastly, a growing emphasis on patient-centric models has driven the development of tools designed to monitor conditions continuously, thereby reducing the dependency on episodic care and improving overall patient management.

These shifts are complemented by an international drive for innovation, where continuous investments in research and development have paved the way for cutting-edge solutions. As the industry moves towards a more integrated and predictive model, stakeholders must remain agile, leveraging these emerging trends to build more resilient, patient-focused care models that are ready to meet future healthcare challenges.

Deep Dive into Key Segmentation Insights for Predictive Healthcare

A comprehensive understanding of market segmentation is essential to navigate the complex predictive healthcare landscape. The segmentation analysis offers a detailed view of various components, data types, AI models, applications, and end-uses that collectively drive market growth.

Examining the market based on component reveals that the industry is structured across hardware, services, and software segments. Hardware elements are further broken down into sensors and IoT devices, as well as servers, which are critical for data collection and processing. Meanwhile, the services sector focuses on consulting, integration and implementation, and maintenance and support, ensuring that healthcare institutions receive comprehensive guidance and technical assistance. The software segment plays a pivotal role with specialized applications including data analytics platforms, decision support systems, machine learning algorithms, and predictive analytics software that underpin the predictive accuracy and scalability of healthcare solutions.

From a data type perspective, the market's division is underscored by clinical data, electronic health records, genomic data, IoT-based health data, medical imaging data, patient monitoring data, and wearable health device data. This variety ensures that predictive models are enriched by diverse datasets, paving the way for greater insights and improved patient outcomes. Furthermore, segmentation based on AI model type identifies reinforcement learning, semi-supervised learning, supervised learning, and unsupervised learning as key approaches, each contributing uniquely to the development of intelligent algorithms. The application-based segmentation spans diagnostics and imaging, drug discovery and development, genomics and precision medicine, healthcare operations management, patient management, remote monitoring with wearable devices, and risk management and fraud detection, which altogether offer a holistic view of market dynamics. Finally, segmentation by end-use targets diagnostics centers, government and public health organizations, healthcare insurance providers, hospitals and healthcare providers, pharmaceutical and biotech companies, and research and development institutions, demonstrating how AI is permeating every facet of the healthcare ecosystem.

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Sensors & IoT Devices and Servers. The Services is further studied across Consulting, Integration & Implementation, and Maintenance & Support. The Software is further studied across Data Analytics Platforms, Decision Support Systems, Machine Learning Algorithms, and Predictive Analytics Software.

Based on Data Type, market is studied across Clinical Data, Electronic Health Records (EHR), Genomic Data, IoT-based Health Data, Medical Imaging Data, Patient Monitoring Data, and Wearable Health Device Data.

Based on AI Model Type, market is studied across Reinforcement Learning, Semi-supervised Learning, Supervised Learning, and Unsupervised Learning.

Based on Application, market is studied across Diagnostics & Imaging, Drug Discovery & Development, Genomics & Precision Medicine, Healthcare Operations Management, Patient Management, Remote Monitoring & Wearable Devices, and Risk Management & Fraud Detection.

Based on End-Use, market is studied across Diagnostics Centers, Government & Public Health Organizations, Healthcare Insurance Providers, Hospitals & Healthcare Providers, Pharmaceutical & Biotech Companies, and Research & Development (R&D) Institutions.

Global Regional Insights Shaping Market Dynamics

Regional trends play a critical role in shaping how AI technologies are adopted in predictive healthcare. Across the Americas, innovation is driven by a strong interplay of robust healthcare infrastructure and aggressive adoption of digital health strategies, leading to significant investments in AI-driven health solutions. In regions encompassing Europe, the Middle East, and Africa, there is a notable focus on leveraging AI to overcome challenges such as resource limitations and to drive efficiency within existing healthcare systems. These regions are witnessing a surge in public-private partnerships aimed at integrating AI to enhance patient care and operational capabilities.

The Asia-Pacific region, characterized by rapid technological adoption and an expanding digital health landscape, is emerging as a significant player in the development and deployment of advanced predictive healthcare tools. The convergence of an increasing patient base with a growing appetite for innovative healthcare solutions is resulting in a dynamic market environment that is both price competitive and technologically progressive. Through the collaboration of regional stakeholders and international technology partners, these regions are collectively pushing forward the boundaries of what predictive healthcare can achieve.

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.

Leading Company Trends Driving Innovation in Predictive Healthcare

Several key companies have become vanguards of innovation in the predictive healthcare domain, each contributing uniquely to the advancement of AI technologies. Industry leaders span a diverse spectrum, including firms such as Aidoc Medical Ltd. and Aiforia Technologies, which are renowned for their cutting-edge diagnostic tools. Cloud giants such as Amazon Web Services, Inc. and Microsoft Corporation bring scalability and reliability to data storage and processing, empowering healthcare systems worldwide. Progressive companies like Athenahealth Inc. and dba Aizon complement these technological titans by focusing on providing integrated solutions that enhance clinical decision-making.

Other notable names include CloudMedx Inc. and CognitiveCare Inc., who continuously push the envelope on patient data analytics and real-time monitoring. Epic Systems Corporation, GE Healthcare, and Koninklijke Philips N.V. are leveraging decades of industry expertise to infuse AI into traditional healthcare processes. The portfolio is further enriched by innovators such as Medtronic plc, NVIDIA Corporation, and SOPHiA GENETICS who are instrumental in bridging the gap between medical devices and AI. Companies like PathAI Inc. and Proscia Inc. are on the frontline of applying machine learning to pathology, while Sensely, Inc. and Siemens Healthineers are developing intelligent systems that are reshaping patient management protocols. Large-scale tech institutions, including International Business Machines Corporation and Tempus Labs Inc., as well as research-driven entities like Exscientia Ltd. and Bigfinite Inc., underscore the collaborative effort required to revolutionize predictive healthcare. Finally, forward-thinking organizations such as Wipro Limited continue to integrate robust technological frameworks that ensure high-quality, actionable insights across the healthcare value chain.

The report delves into recent significant developments in the AI for Predictive Healthcare Market, highlighting leading vendors and their innovative profiles. These include Aidoc Medical Ltd., Aiforia Technologies, Amazon Web Services, Inc., Athenahealth Inc., Bigfinite Inc., dba Aizon, CloudMedx Inc., CognitiveCare Inc., Epic Systems Corporation, Exscientia Ltd., Flatiron Health, GE Healthcare, Health Catalyst, Intel Corporation, International Business Machines Corporation, Koninklijke Philips N.V., Medtronic plc, Microsoft Corporation, NVIDIA Corporation, PathAI Inc., Proscia Inc., Sensely, Inc., Siemens Healthineers, SOPHiA GENETICS, Tempus Labs Inc., and Wipro Limited. Strategic Recommendations for Industry Leaders

Leaders in predictive healthcare must remain agile and proactive in response to evolving market demands and technology breakthroughs. It is recommended that organizations intensify their focus on partnerships and collaboration to integrate diverse datasets, which will bolster the accuracy of AI models in predictive analytics. Investing in scalable platforms that seamlessly blend hardware, software, and comprehensive services is essential to achieving resilient, adaptable systems. Decision-makers should prioritize the development of robust security and privacy frameworks in order to safeguard sensitive healthcare information while ensuring compliance with regional regulatory guidelines. Additionally, implementing continuous learning practices within AI systems can facilitate real-time adjustments and improvements that drive better patient outcomes while reducing operational costs. Embracing a culture of innovation and data-centric risk management will empower industry leaders to harness emerging trends and maintain a competitive edge in the dynamic healthcare landscape.

Conclusion and Future Outlook

The integration of artificial intelligence into predictive healthcare is indisputably transforming the way care is delivered and managed. As advanced technologies drive an evolution from traditional reactive models to proactive, data-informed approaches, stakeholders are better equipped to anticipate challenges and seize opportunities. The convergence of robust digital infrastructures, comprehensive segmentation data, and strategic collaborations among leading companies has created an environment ripe for sustained innovation. This dynamic landscape, characterized by rapid technological advancements and evolving regional demands, clearly indicates that the future of predictive healthcare is not only promising but also pivotal for global health improvement. As the industry strives to balance technological breakthroughs with crucial ethical considerations, it is imperative that decision-makers remain vigilant and adaptable in order to fully leverage the potential of AI-driven predictive models.

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 prevalence of chronic diseases necessitating more efficient and predictive healthcare solutions
    • 5.1.1.2. Growing demand for personalized medicine spurring AI adoption in predictive healthcare solutions
  • 5.1.2. Restraints
    • 5.1.2.1. High initial costs associated with implementation of AI for predictive healthcare
  • 5.1.3. Opportunities
    • 5.1.3.1. Integration of predictive analytics in hospital resource management to optimize operational efficiency
    • 5.1.3.2. Developing AI-driven predictive healthcare solutions to enhance patient health outcomes
  • 5.1.4. Challenges
    • 5.1.4.1. Data privacy and security concerns associated with AI for predictive healthcare
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Critical role of software in processing and analyzing massive amounts of healthcare data, subsequently driving actionable insights and improving patient care
  • 5.2.2. End-Use: Widespread utilization of AI in predictive healthcare by hospitals & healthcare providers
• 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. AI for Predictive Healthcare Market, by Component

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Sensors & IoT Devices
  • 6.2.2. Servers
• 6.3. Services
  • 6.3.1. Consulting
  • 6.3.2. Integration & Implementation
  • 6.3.3. Maintenance & Support
• 6.4. Software
  • 6.4.1. Data Analytics Platforms
  • 6.4.2. Decision Support Systems
  • 6.4.3. Machine Learning Algorithms
  • 6.4.4. Predictive Analytics Software

7. AI for Predictive Healthcare Market, by Data Type

• 7.1. Introduction
• 7.2. Clinical Data
• 7.3. Electronic Health Records (EHR)
• 7.4. Genomic Data
• 7.5. IoT-based Health Data
• 7.6. Medical Imaging Data
• 7.7. Patient Monitoring Data
• 7.8. Wearable Health Device Data

8. AI for Predictive Healthcare Market, by AI Model Type

• 8.1. Introduction
• 8.2. Reinforcement Learning
• 8.3. Semi-supervised Learning
• 8.4. Supervised Learning
• 8.5. Unsupervised Learning

9. AI for Predictive Healthcare Market, by Application

• 9.1. Introduction
• 9.2. Diagnostics & Imaging
• 9.3. Drug Discovery & Development
• 9.4. Genomics & Precision Medicine
• 9.5. Healthcare Operations Management
• 9.6. Patient Management
• 9.7. Remote Monitoring & Wearable Devices
• 9.8. Risk Management & Fraud Detection

10. AI for Predictive Healthcare Market, by End-Use

• 10.1. Introduction
• 10.2. Diagnostics Centers
• 10.3. Government & Public Health Organizations
• 10.4. Healthcare Insurance Providers
• 10.5. Hospitals & Healthcare Providers
• 10.6. Pharmaceutical & Biotech Companies
• 10.7. Research & Development (R&D) Institutions

11. Americas AI for Predictive Healthcare Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific AI for Predictive Healthcare Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa AI for Predictive Healthcare Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2024
• 14.2. FPNV Positioning Matrix, 2024
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Clarify Health expands networks with AI-powered analytics to enhance cost efficiency and care quality
  • 14.3.2. ConcertAI unveils transformative predictive and generative AI solutions at ASCO 2024, advancing patient care with real-world data insights
  • 14.3.3. mPulse unveils AI-driven predictive analytics and engagement solution
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Aidoc Medical Ltd.
• 2. Aiforia Technologies
• 3. Amazon Web Services, Inc.
• 4. Athenahealth Inc.
• 5. Bigfinite Inc., dba Aizon
• 6. CloudMedx Inc.
• 7. CognitiveCare Inc.
• 8. Epic Systems Corporation
• 9. Exscientia Ltd.
• 10. Flatiron Health
• 11. GE Healthcare
• 12. Health Catalyst
• 13. Intel Corporation
• 14. International Business Machines Corporation
• 15. Koninklijke Philips N.V.
• 16. Medtronic plc
• 17. Microsoft Corporation
• 18. NVIDIA Corporation
• 19. PathAI Inc.
• 20. Proscia Inc.
• 21. Sensely, Inc.
• 22. Siemens Healthineers
• 23. SOPHiA GENETICS
• 24. Tempus Labs Inc.
• 25. Wipro Limited