糖尿病管理における人工知能市場：装置、手法別-2025～2030年の世界予測

糖尿病管理における人工知能市場は、2023年に7億7,088万米ドルと評価され、2024年には10億692万米ドルに達すると予測され、CAGR 30.71％で成長し、2030年には50億2,614万米ドルに達すると予測されています。

糖尿病管理における人工知能（AI）の範囲と定義は、糖尿病のモニタリング、予測、管理をより効率的に支援するための先進的アルゴリズムと機械学習モデルの使用を包含します。このセグメントにおけるAIの必要性は、世界の糖尿病有病率の上昇、個別化医療への継続的なシフト、正確なデータ駆動型洞察による患者の転帰改善の必要性によってもたらされます。治療には、リアルタイムのグルコース・モニタリング、インスリン投与の予測分析、個々の患者の反応に適応する個別化治療計画などが含まれます。最終用途の範囲は病院やクリニックから個人消費者向け機器まで幅広く、AIは疾病管理を大幅に強化することができます。主要成長要因としては、AIアルゴリズムの技術的進歩、デジタルヘルスソリューションの採用拡大、ハイテク企業と医療プロバイダーの協力関係の強化などが挙げられます。注目すべきビジネス機会は、包括的なデータ分析のために電子カルテ（EHR）と統合できるAIモデルの開発や、患者を治療に積極的に関与させるユーザーフレンドリーなウェアラブル装置の構築にあります。課題としては、データプライバシーに関する懸念、規制上のハードル、AIシステムを訓練するための大規模で高品質なデータセットの必要性などが挙げられます。さらに、AIの信頼性や導入コストの高さに対する懐疑的な見方もあり、より広範な導入の妨げとなっています。糖尿病合併症の予測分析、患者エンゲージメントのためのAIを活用したバーチャルコーチング、患者からのフィードバックによって時間の経過とともに改善する適応学習モデルの開発などのセグメントでは、技術革新の機会があふれています。調査は、臨床研究を通じてAIの信頼性と有効性を検証し、AIシステムと既存の医療インフラ間の相互運用性の問題に取り組むことに重点を置くべきです。このように、糖尿病管理におけるAI市場は、本質的な課題の管理には警戒が必要であるもの、患者ケアの強化に重点を置くことで、変革的な成長を遂げる位置づけにあります。

市場力学：急速に進化する糖尿病管理における人工知能市場の主要市場洞察を公開

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

• 市場促進要因
  • スマートグルコース・モニタリング装置に対する需要の増加
  • 高齢者と2型糖尿病患者の増加
  • 糖尿病の自己管理におけるAIの応用拡大
• 市場抑制要因
  • 高価なAIベースの医療機器
• 市場機会
  • 糖尿病をモニタリング・管理するモバイルアプリの増加
  • 在宅医療や糖尿病の自己管理への傾斜
• 市場課題
  • 人材の認識不足

ポーターのファイブフォース：糖尿病管理における人工知能市場をナビゲートする戦略ツール

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

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

市場シェア分析：糖尿病管理における人工知能市場における競合情勢の把握

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

FPNVポジショニングマトリックス：糖尿病管理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、糖尿病管理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：糖尿病管理における人工知能市場における成功への道筋を描く

糖尿病管理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、新たなビジネス機会を活かして長期的な成功を収めるための体制を整えることができます。

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

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

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

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

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

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

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

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、地域はどこか？

3.市場を形成する主要技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • スマート血糖値モニタリング装置の需要増加
    • 高齢者と2型糖尿病患者の増加
    • 糖尿病の自己管理におけるAIの応用が拡大
  • 抑制要因
    • 高価なAIベースの医療機器
  • 機会
    • 糖尿病をモニタリング・管理するためのモバイルアプリの増加
    • 糖尿病の在宅ケアまたは自己管理への傾向
  • 課題
    • 国民の意識の欠如
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治
  • 経済
  • 社会
  • 技術
  • 法律
  • 環境

第6章 糖尿病管理における人工知能市場：装置別

• イントロダクション
• 診断装置
• 血糖値モニタリング装置
• インスリン投与装置

第7章 糖尿病管理における人工知能市場：技術別

• イントロダクション
• 事例による推論
• インテリジェントデータ分析

第8章 南北アメリカの糖尿病管理における人工知能市場

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

第9章 アジア太平洋の糖尿病管理における人工知能市場

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

第10章 欧州・中東・アフリカの糖尿病管理における人工知能市場

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

第11章 競合情勢

• 市場シェア分析、2023年
• FPNVポジショニングマトリックス、2023年
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Abbott Laboratories
• Bigfoot Biomedical, Inc.
• Cardinal Health Inc.
• Crayon Group
• DreaMed Diabetes, Ltd.
• Eyenuk, Inc.
• F. Hoffmann-La Roche Ltd.
• Glooko SAS
• HCL Technologies Limited
• International Business Machines Corporation
• Medtronic PLC
• Novo Nordisk A/S
• Sanofi S.A.
• Virta Health Corp.
• Vodafone Group PLC

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DIAGNOSTIC DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY GLUCOSE MONITORING DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY INSULIN DELIVERY DEVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY CASE-BASED REASONING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY INTELLIGENT DATA ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 17. ARGENTINA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 18. ARGENTINA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 19. BRAZIL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 20. BRAZIL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 21. CANADA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 22. CANADA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 23. MEXICO ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 24. MEXICO ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 25. UNITED STATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 26. UNITED STATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 27. UNITED STATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 28. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 29. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 30. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 31. AUSTRALIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 32. AUSTRALIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 33. CHINA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 34. CHINA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 35. INDIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 36. INDIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 37. INDONESIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 38. INDONESIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 39. JAPAN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 40. JAPAN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 41. MALAYSIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 42. MALAYSIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 43. PHILIPPINES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 44. PHILIPPINES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 45. SINGAPORE ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 46. SINGAPORE ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 47. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 48. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 49. TAIWAN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 50. TAIWAN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 51. THAILAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 52. THAILAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 53. VIETNAM ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 54. VIETNAM ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 55. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 56. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 57. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 58. DENMARK ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 59. DENMARK ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 60. EGYPT ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 61. EGYPT ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 62. FINLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 63. FINLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 64. FRANCE ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 65. FRANCE ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 66. GERMANY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 67. GERMANY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 68. ISRAEL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 69. ISRAEL ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 70. ITALY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 71. ITALY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 72. NETHERLANDS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 73. NETHERLANDS ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 74. NIGERIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 75. NIGERIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 76. NORWAY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 77. NORWAY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 78. POLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 79. POLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 80. QATAR ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 81. QATAR ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 82. RUSSIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 83. RUSSIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 84. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 85. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 86. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 87. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 88. SPAIN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 89. SPAIN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 90. SWEDEN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 91. SWEDEN ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 92. SWITZERLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 93. SWITZERLAND ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 94. TURKEY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 95. TURKEY ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 96. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 97. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 98. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY DEVICE, 2018-2030 (USD MILLION)
• TABLE 99. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SIZE, BY TECHNIQUE, 2018-2030 (USD MILLION)
• TABLE 100. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 101. ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Diabetes Management Market was valued at USD 770.88 million in 2023, expected to reach USD 1,006.92 million in 2024, and is projected to grow at a CAGR of 30.71%, to USD 5,026.14 million by 2030.

The scope and definition of artificial intelligence (AI) in diabetes management encompass the use of advanced algorithms and machine learning models to assist in monitoring, predicting, and managing diabetes more efficiently. The need for AI in this field is driven by the rising prevalence of diabetes globally, the ongoing shifts toward personalized medicine, and the imperative to improve patient outcomes through accurate data-driven insights. Applications include real-time glucose monitoring, predictive analytics for insulin dosing, and personalized treatment plans that adapt to individual patient responses. The end-use scope ranges from hospitals and clinics to personal consumer devices, where AI can significantly enhance disease management. Key growth factors include technological advancements in AI algorithms, growing adoption of digital health solutions, and increased collaboration between tech companies and healthcare providers. Noteworthy opportunities lie in developing AI models that can integrate with electronic health records (EHRs) for comprehensive data analysis, and in building user-friendly wearable devices that actively engage patients in their care. Challenges include data privacy concerns, regulatory hurdles, and the need for large, high-quality datasets to train AI systems. Furthermore, there is skepticism about AI reliability and the high cost of implementation, which can hinder broader adoption. Nevertheless, innovation opportunities abound in areas such as predictive analytics for diabetic complications, AI-powered virtual coaching for patient engagement, and the development of adaptive learning models that improve over time with patient feedback. Research should focus on validating AI reliability and efficacy through clinical studies and addressing interoperability issues between AI systems and existing healthcare infrastructure. The AI in diabetes management market is thus positioned for transformative growth, underscored by a focus on enhancing patient care, though vigilance is required in managing the intrinsic challenges.

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

The Artificial Intelligence in Diabetes Management 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
  • Increasing demand for smart glucose monitoring device
  • Rising geriatric population and type 2 diabetes patients
  • Growing application of AI in diabetes self management
• Market Restraints
  • Expensive AI-based medical devices
• Market Opportunities
  • Increasing mobile apps to monitor and manage diabetes
  • Inclination towards the home care or self-management of diabetes
• Market Challenges
  • Lack of awareness among the people

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

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

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

A detailed market share analysis in the Artificial Intelligence in Diabetes Management 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 Diabetes Management Market

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

A strategic analysis of the Artificial Intelligence in Diabetes Management 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 Diabetes Management Market, highlighting leading vendors and their innovative profiles. These include Abbott Laboratories, Bigfoot Biomedical, Inc., Cardinal Health Inc., Crayon Group, DreaMed Diabetes, Ltd., Eyenuk, Inc., F. Hoffmann-La Roche Ltd., Glooko SAS, HCL Technologies Limited, International Business Machines Corporation, Medtronic PLC, Novo Nordisk A/S, Sanofi S.A., Virta Health Corp., and Vodafone Group PLC.

Market Segmentation & Coverage

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

• Based on Device, market is studied across Diagnostic Devices, Glucose Monitoring Devices, and Insulin Delivery Devices.
• Based on Technique, market is studied across Case-Based Reasoning and Intelligent Data Analysis.
• 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. Increasing demand for smart glucose monitoring device
    • 5.1.1.2. Rising geriatric population and type 2 diabetes patients
    • 5.1.1.3. Growing application of AI in diabetes self management
  • 5.1.2. Restraints
    • 5.1.2.1. Expensive AI-based medical devices
  • 5.1.3. Opportunities
    • 5.1.3.1. Increasing mobile apps to monitor and manage diabetes
    • 5.1.3.2. Inclination towards the home care or self-management of diabetes
  • 5.1.4. Challenges
    • 5.1.4.1. Lack of awareness among the people
• 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 Diabetes Management Market, by Device

• 6.1. Introduction
• 6.2. Diagnostic Devices
• 6.3. Glucose Monitoring Devices
• 6.4. Insulin Delivery Devices

7. Artificial Intelligence in Diabetes Management Market, by Technique

• 7.1. Introduction
• 7.2. Case-Based Reasoning
• 7.3. Intelligent Data Analysis

8. Americas Artificial Intelligence in Diabetes Management Market

• 8.1. Introduction
• 8.2. Argentina
• 8.3. Brazil
• 8.4. Canada
• 8.5. Mexico
• 8.6. United States

9. Asia-Pacific Artificial Intelligence in Diabetes Management Market

• 9.1. Introduction
• 9.2. Australia
• 9.3. China
• 9.4. India
• 9.5. Indonesia
• 9.6. Japan
• 9.7. Malaysia
• 9.8. Philippines
• 9.9. Singapore
• 9.10. South Korea
• 9.11. Taiwan
• 9.12. Thailand
• 9.13. Vietnam

10. Europe, Middle East & Africa Artificial Intelligence in Diabetes Management Market

• 10.1. Introduction
• 10.2. Denmark
• 10.3. Egypt
• 10.4. Finland
• 10.5. France
• 10.6. Germany
• 10.7. Israel
• 10.8. Italy
• 10.9. Netherlands
• 10.10. Nigeria
• 10.11. Norway
• 10.12. Poland
• 10.13. Qatar
• 10.14. Russia
• 10.15. Saudi Arabia
• 10.16. South Africa
• 10.17. Spain
• 10.18. Sweden
• 10.19. Switzerland
• 10.20. Turkey
• 10.21. United Arab Emirates
• 10.22. United Kingdom

11. Competitive Landscape

• 11.1. Market Share Analysis, 2023
• 11.2. FPNV Positioning Matrix, 2023
• 11.3. Competitive Scenario Analysis
• 11.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Abbott Laboratories
• 2. Bigfoot Biomedical, Inc.
• 3. Cardinal Health Inc.
• 4. Crayon Group
• 5. DreaMed Diabetes, Ltd.
• 6. Eyenuk, Inc.
• 7. F. Hoffmann-La Roche Ltd.
• 8. Glooko SAS
• 9. HCL Technologies Limited
• 10. International Business Machines Corporation
• 11. Medtronic PLC
• 12. Novo Nordisk A/S
• 13. Sanofi S.A.
• 14. Virta Health Corp.
• 15. Vodafone Group PLC