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糖尿病管理中的人工智慧市場：按設備和方法分類 - 全球預測 2025-2030

Artificial Intelligence in Diabetes Management Market by Device (Diagnostic Devices, Glucose Monitoring Devices, Insulin Delivery Devices), Technique (Case-Based Reasoning, Intelligent Data Analysis) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 195 Pages | 商品交期: 最快1-2個工作天內

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人工智慧在糖尿病管理市場的價值在2023年為77,088萬美元，預計到2024年將達到10,0692萬美元，複合年成長率為30.71%，到2030年將達到50,2614萬美元。

人工智慧 (AI) 在糖尿病管理中的範圍和定義包括使用先進的演算法和機器學習模型來更有效地幫助監測、預測和管理糖尿病。全球糖尿病盛行率不斷上升、向個人化醫療的持續轉變以及透過準確的資料驅動洞察來改善患者治療結果的需求推動了這一領域對人工智慧的需求。治療包括即時血糖監測、胰島素劑量的預測分析以及適應個別患者反應的個人化治療計劃。人工智慧的最終用途從醫院、診所到個人消費設備，可以顯著增強疾病管理。關鍵的成長要素包括人工智慧演算法的技術進步、數位健康解決方案的廣泛採用以及科技公司與醫療保健提供者之間的合作加強。值得注意的機會在於開發可與電子健康記錄(EHR) 整合的人工智慧模型，以進行全面的資料分析，以及建立方便用戶使用的穿戴式設備，以積極參與患者的照護。挑戰包括資料隱私問題、監管障礙以及訓練人工智慧系統所需的大型高品質資料集集。此外，人們對人工智慧的可靠性和實施成本高昂表示懷疑，這阻礙了更廣泛的採用。糖尿病併發症的預測分析、人工智慧驅動的病人參與虛擬輔導以及開發可隨著患者反饋不斷改進的自適應學習模型等領域存在大量創新機會。研究應著重於透過臨床研究檢驗人工智慧的可靠性和有效性，並解決人工智慧系統與現有醫療基礎設施之間的互通性問題。因此，糖尿病管理市場中的人工智慧定位於變革性成長，重點在於加強患者照護，同時應對基本挑戰需要保持警惕。

主要市場統計
基準年[2023] 77088萬美元
預計年份 [2024] 1,006,920,000 美元
預測年份 [2030] 5,026,140,​​000 美元
複合年成長率（%） 30.71%

市場動態：糖尿病管理市場快速發展的人工智慧揭示的關鍵市場洞察

供需的動態交互作用正在改變糖尿病管理領域的人工智慧市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助企業了解消費行為及其對製造業的影響。

  • 市場促進因素
    • 對智慧血糖監測設備的需求增加
    • 老年人和第2型糖尿病患者增加
    • 拓展人工智慧在糖尿病自我管理的應用
  • 市場限制因素
    • 昂貴的基於人工智慧的醫療設備
  • 市場機會
    • 用於監測和管理糖尿病的行動應用程式增加
    • 傾向居家醫療和糖尿病自我管理
  • 市場問題
    • 人力資源意識缺乏

波特五力：駕馭糖尿病管理人工智慧市場的策略工具

波特的五力框架是了解市場競爭格局的重要工具。波特的五力框架描述了評估公司競爭和探索策略機會的清晰方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點，避免潛在的挑戰，確保更強大的市場地位。

PESTLE分析：了解外部對糖尿病管理市場人工智慧的影響

外部宏觀環境因素在塑造糖尿病管理市場人工智慧的績效動態發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析：了解糖尿病管理市場人工智慧的競爭格局

對糖尿病管理市場中人工智慧的詳細市場佔有率分析可以對供應商的績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、細分和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣：糖尿病管理市場人工智慧供應商的績效評估

FPNV 定位矩陣是評估糖尿病管理市場人工智慧供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，以確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議：制定糖尿病管理市場人工智慧的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對糖尿病管理市場中的人工智慧進行策略分析至關重要。透過考慮關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機並取得長期成功。

該報告對涵蓋關鍵焦點細分市場的市場進行了全面分析。

1.市場滲透率：對當前市場環境的詳細審查，主要企業的廣泛資料，評估他們在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有細分市場的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點關注可望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策。

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品和地區提供最佳投資機會？

3.塑造市場的關鍵技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 智慧血糖值監測設備需求增加
      • 老年人和第2型糖尿病患者增加
      • 人工智慧在糖尿病自我管理的應用擴大
    • 抑制因素
      • 昂貴的基於人工智慧的醫療設備
    • 機會
      • 用於監測和管理糖尿病的行動應用程式增加
      • 居家照護或糖尿病自我管理的趨勢
    • 任務
      • 缺乏公眾意識
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

第6章糖尿病管理中的人工智慧市場：按設備分類

  • 介紹
  • 診斷設備
  • 血糖值監測裝置
  • 胰島素給藥裝置

第7章糖尿病管理中的人工智慧市場：依技術分類

  • 介紹
  • 案例推理
  • 智慧資料分析

第8章美洲糖尿病管理中的人工智慧市場

  • 介紹
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章亞太地區糖尿病管理的人工智慧市場

  • 介紹
  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第10章：歐洲、中東和非洲糖尿病管理的人工智慧市場

  • 介紹
  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第11章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
  • 戰略分析和建議

公司名單

  • 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 SA
  • Virta Health Corp.
  • Vodafone Group PLC
Product Code: MRR-4369010656EF

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.

KEY MARKET STATISTICS
Base Year [2023] USD 770.88 million
Estimated Year [2024] USD 1,006.92 million
Forecast Year [2030] USD 5,026.14 million
CAGR (%) 30.71%

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

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