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糖尿病管理中的人工智慧市场：按设备和方法划分 - 全球预测 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个工作天内

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人工智慧在糖尿病管理市场的价值在2023年为77,088万美元，预计到2024年将达到10,0692万美元，复合年增长率为30.71%，到2030年将达到50,2614万美元。

人工智慧 (AI) 在糖尿病管理中的范围和定义包括使用先进的演算法和机器学习模型来更有效地帮助监测、预测和管理糖尿病。全球糖尿病盛行率不断上升、向个人化医疗的持续转变以及透过准确的资料驱动洞察来改善患者治疗结果的需求推动了这一领域对人工智慧的需求。治疗包括即时血糖监测、胰岛素剂量的预测分析以及适应个别患者反应的个人化治疗计划。人工智慧的最终用途从医院、诊所到个人消费设备，可以显着增强疾病管理。关键的成长要素包括人工智慧演算法的技术进步、数位健康解决方案的广泛采用以及科技公司与医疗保健提供者之间的合作加强。值得注意的机会在于开发可与电子健康记录(EHR) 整合的人工智慧模型，以进行全面的资料分析，以及建立用户友好的可穿戴设备，以积极参与患者的照护。挑战包括资料隐私问题、监管障碍以及训练人工智慧系统所需的大型高品质资料集集。此外，人们对人工智慧的可靠性和实施成本高昂表示怀疑，这阻碍了更广泛的采用。糖尿病併发症的预测分析、人工智慧驱动的病人参与虚拟辅导以及开发可随着患者反馈不断改进的自适应学习模型等领域存在大量创新机会。研究应着重于透过临床研究检验人工智慧的可靠性和有效性，并解决人工智慧系统与现有医疗基础设施之间的互通性问题。因此，糖尿病管理市场中的人工智慧定位于变革性成长，重点在于加强患者照护，同时应对基本挑战需要保持警惕。

主要市场统计
基准年[2023] 77088万美元
预计年份 [2024] 1,006,920,000 美元
预测年份 [2030] 5,026,140,​​000 美元
复合年增长率（%） 30.71%

市场动态：糖尿病管理市场快速发展的人工智慧揭示的关键市场洞察

供需的动态交互作用正在改变糖尿病管理领域的人工智慧市场。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助企业了解消费行为及其对製造业的影响。

  • 市场驱动因素
    • 对智慧血糖监测设备的需求增加
    • 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应用
  • 市场限制因素
    • 昂贵的基于人工智慧的医疗设备
  • 市场机会
    • 用于监测和管理糖尿病的行动应用程式增加
    • 倾向居家医疗和糖尿病自我管理
  • 市场问题
    • 人力资源意识缺乏

波特五力：驾驭糖尿病管理人工智慧市场的策略工具

波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架描述了评估公司竞争和探索策略机会的清晰方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点，避免潜在的挑战，确保更强大的市场地位。

PESTLE分析：了解外部对糖尿病管理市场人工智慧的影响

外部宏观环境因素在塑造糖尿病管理市场人工智慧的绩效动态发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析：了解糖尿病管理市场人工智慧的竞争格局

对糖尿病管理市场中人工智慧的详细市场占有率分析可以对供应商的绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、细分和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵：糖尿病管理市场人工智慧供应商的绩效评估

FPNV 定位矩阵是评估糖尿病管理市场人工智慧供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，以确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议：制定糖尿病管理市场人工智慧的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对糖尿病管理市场中的人工智慧进行策略分析至关重要。透过考虑关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机并取得长期成功。

该报告对涵盖关键焦点细分市场的市场进行了全面分析。

1.市场渗透率：对当前市场环境的详细审查，主要企业的广泛资料，评估他们在市场中的影响力和整体影响力。

2. 市场开拓：辨识新兴市场的成长机会，评估现有细分市场的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点关注可望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策。

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品和地区提供最佳投资机会？

3.塑造市场的关键技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 智慧血糖值监测设备需求增加
      • 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应用扩大
    • 抑制因素
      • 昂贵的基于人工智慧的医疗设备
    • 机会
      • 用于监测和管理糖尿病的行动应用程式增加
      • 居家照护或糖尿病自我管理的趋势
    • 任务
      • 缺乏公众意识
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 法律
    • 环境

第六章糖尿病管理中的人工智慧市场：按设备分类

  • 介绍
  • 诊断设备
  • 血糖值监测装置
  • 胰岛素给药装置

第七章糖尿病管理中的人工智慧市场：依技术分类

  • 介绍
  • 案例推理
  • 智慧资料分析

第八章美洲糖尿病管理中的人工智慧市场

  • 介绍
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第九章亚太地区糖尿病管理的人工智慧市场

  • 介绍
  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第10章：欧洲、中东和非洲糖尿病管理的人工智慧市场

  • 介绍
  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十一章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
  • 战略分析和建议

公司名单

  • 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