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Global Digital Diabetes Management Market to reach USD XX billion by the end of 2030.

Global Digital Diabetes Management Market Size study & Forecast, by Type (Handheld Devices, Wearable Devices), by Product (Continuous blood glucose monitoring systems, Smart glucose meter, Smart insulin pumps, Smart insulin pens, Apps) and Regional Analysis, 2023-2030

Product Code: HLSHIT-32875818
Publish Date: 30-10-2023
Page: 200

Global Digital Diabetes Management Market is valued at approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. Digital diabetes management refers to using digital technologies, such as mobile apps, wearable devices, and other digital tools, to help individuals with diabetes monitor, manage, and improve their condition. Diabetes is a chronic metabolic disorder characterized by high blood sugar levels due to either inadequate insulin production or the body’s inability to use insulin effectively. Digital diabetes management solutions aim to empower patients with diabetes to take an active role in their self-care by providing tools and resources to track and analyze their blood glucose levels, medication, physical activity, and diet. The key factors driving the market growth are the rising prevalence of diabetes, growing adoption of cloud-based enterprise solutions for diabetes management, the advent of artificial intelligence in diabetes care devices, and increasing penetration of digital platforms and adoption of mobile apps for diabetes management that anticipated to support the market growth during forecast period.

Moreover, the global prevalence of diabetes has been increasing steadily, primarily due to sedentary lifestyles, unhealthy diets, and an aging population. As the number of people with diabetes continues to rise, there is a growing need for efficient and scalable diabetes management solutions. For instance, as per the International Diabetic Federation (IDF), in 2019, there were nearly 463 million adults aged between 20-79 years were suffering from diabetes. Also, the amount is anticipated to reach around 700 million by 2045. As a result, the growing prevalence of diabetes is anticipated to support market growth. Additionally, increasing diabetes-related health expenditure and rising adoption of e-health are anticipated to create a lucrative opportunity for the market during the forecast period. However, the low adoption in developing economies and data security stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Digital Diabetes Management Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising prevalence of diabetes, increasing awareness and patient engagement, growing healthcare and infrastructure, increasing focus on remote patient monitoring, and supportive reimbursement policies. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as the growing adoption of e-health, increasing prevalence of diabetes, rising healthcare awareness, increasing healthcare expenditure, and growing adoption of telemedicine and remote monitoring.

Major market player included in this report are:
F. Hoffmann-La Roche Ltd.
Becton, Dickinson And Company
Bayer Ag
Acon Laboratories, Inc.
Medtronic Plc
Novo Nordisk A/S
Terumo Corporation
Abbott Laboratories
Johnson And Johnson Limited
Dexcom, Inc
Recent Developments in the Market:
Ø In September 2020, Roche Diagnostics (Switzerland) introduced a remote patient monitoring solution, that is an innovation of the RocheDiabetes Care Platform that utilises its pattern detection feature. These product launch helps to expand company product portfolio globally.
Global Digital Diabetes Management Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Product, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Handheld Devices
Wearable Devices

By Product:
Continuous blood glucose monitoring systems
Smart glucose meter
Smart insulin pumps
Smart insulin pens

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Digital Diabetes Management Market, by Region, 2020-2030 (USD Billion)
1.2.2. Digital Diabetes Management Market, by Type, 2020-2030 (USD Billion)
1.2.3. Digital Diabetes Management Market, by Product, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Digital Diabetes Management Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Digital Diabetes Management Market Dynamics
3.1. Digital Diabetes Management Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising prevalence of diabetes Growing adoption of cloud-based enterprise solutions for diabetes management Advent of artificial intelligence in diabetes care devices
3.1.2. Market Challenges Low adoption in developing economies and data security
3.1.3. Market Opportunities Increasing diabetes-related health expenditure Rising adoption of e-health
Chapter 4. Global Digital Diabetes Management Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Digital Diabetes Management Market, by Type
5.1. Market Snapshot
5.2. Global Digital Diabetes Management Market by Type, Performance – Potential Analysis
5.3. Global Digital Diabetes Management Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Digital Diabetes Management Market, Sub Segment Analysis
5.4.1. Handheld Devices
5.4.2. Wearable Devices
Chapter 6. Global Digital Diabetes Management Market, by Product
6.1. Market Snapshot
6.2. Global Digital Diabetes Management Market by Product, Performance – Potential Analysis
6.3. Global Digital Diabetes Management Market Estimates & Forecasts by Product 2020-2030 (USD Billion)
6.4. Digital Diabetes Management Market, Sub Segment Analysis
6.4.1. Continuous blood glucose monitoring systems
6.4.2. Smart glucose meter
6.4.3. Smart insulin pumps
6.4.4. Smart insulin pens
6.4.5. Apps
Chapter 7. Global Digital Diabetes Management Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Digital Diabetes Management Market, Regional Market Snapshot
7.4. North America Digital Diabetes Management Market
7.4.1. U.S. Digital Diabetes Management Market Type breakdown estimates & forecasts, 2020-2030 Product breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Digital Diabetes Management Market
7.5. Europe Digital Diabetes Management Market Snapshot
7.5.1. U.K. Digital Diabetes Management Market
7.5.2. Germany Digital Diabetes Management Market
7.5.3. France Digital Diabetes Management Market
7.5.4. Spain Digital Diabetes Management Market
7.5.5. Italy Digital Diabetes Management Market
7.5.6. Rest of Europe Digital Diabetes Management Market
7.6. Asia-Pacific Digital Diabetes Management Market Snapshot
7.6.1. China Digital Diabetes Management Market
7.6.2. India Digital Diabetes Management Market
7.6.3. Japan Digital Diabetes Management Market
7.6.4. Australia Digital Diabetes Management Market
7.6.5. South Korea Digital Diabetes Management Market
7.6.6. Rest of Asia Pacific Digital Diabetes Management Market
7.7. Latin America Digital Diabetes Management Market Snapshot
7.7.1. Brazil Digital Diabetes Management Market
7.7.2. Mexico Digital Diabetes Management Market
7.8. Middle East & Africa Digital Diabetes Management Market
7.8.1. Saudi Arabia Digital Diabetes Management Market
7.8.2. South Africa Digital Diabetes Management Market
7.8.3. Rest of Middle East & Africa Digital Diabetes Management Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. F. Hoffmann-La Roche Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Becton, Dickinson And Company
8.3.3. Bayer Ag
8.3.4. Acon Laboratories, Inc.
8.3.5. Medtronic Plc.
8.3.6. Novo Nordisk A/S
8.3.7. Terumo Corporation
8.3.8. Abbott Laboratories
8.3.9. Johnson And Johnson Limited
8.3.10. Dexcom, Inc
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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