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Global Health Self-Monitoring Technologies Market to reach USD XX billion by the end of 2029.

Global Health Self-Monitoring Technologies Market Size study & Forecast, by Technology (Peripherals, Software) by Tool (Wearable Systems, Table Systems, And Mobile Applications), by End User (Hospitals, Clinics, Ambulatory Surgery Centers, Home Care Settings, and Others), and Regional Analysis, 2022-2029

Product Code: HLSHIT-48142773
Publish Date: 13-05-2023
Page: 200

Global Health Self-Monitoring Technologies Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Self-monitoring is a recent development in personal health where people utilise software and electronic devices to gather, process, and present a variety of personal data to aid in managing and monitoring their own health. Recent technological advancements make self-tracking easier. The Health Self-Monitoring Technologies market is expanding because of factors such as rising prevalence of acute diseases such as diabetes and chronic disease and growing Geriatric Population.

Rising prevelance of acute diseases such as diabetes and chronic disease across the world is fostering the market growth, according to a 2021 report from the International Diabetes Federation, India had an estimated 74,194.7 thousand cases of diabetes in 2021, and by 2030, that number is predicted to rise to 92,973.7 thousand cases. Furthermore, according to Robert Wood Johnson Foundation, in year 2020, the incidences of chronic illness in United States stood at 157 million cases which is projected to increase and reach at 171 million cases by year 2030. In addition, high time requires for the physical tests and rising technological advancement is creating a lucurative growth to the market. However, high cost of health self-monitoring technologies may hamper the market growth.

The key regions considered for the Global Health Self-Monitoring Technologies Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the dominance of branded Technologys and the region’s increasing disease prevalence. Whereas Asia Pacific is expected to grow with a highest CAGR during the forecast period, owing to factors such as rising geriatric and target populations, an increase in the number of collaborations for biosimilar development, geographic expansion of key players, and active participation of government and nonprofit organizations in the market space.

Major market player included in this report are:
Alphabet Inc.
Apple Inc.
Asustek Computer Inc.
Beurer GmbH
Cityzen Sciences
Garmin Ltd.
Hexoskin
Htc Corp.
Huawei Technologies Co. Ltd.
Ihealth Lab Inc.

Recent Developments in the Market:
Ø In September 2019, A healthcare start-up named Sanskritech Smart Solutions Pvt Ltd has introduced the “Swayam AHM” self-monitoring Point of Care Testing (POCT) device for diagnosing health issues. People may come in and take 55 simple and sophisticated pathology tests using this technology, which functions like an ATM kiosk and provides immediate test results. Swayam, created by Sanskritech, employs cloud computing technologies to construct a future medical record and is supported by DELL EMC.
Ø In August 2022, GOQii, announced the launch of Smart Vital Ultra and GOQii Stream devices. A smart wearable is a resourceful item. With the aid of the information gathered by these smart wearables, it helps us better understand and manage our health. Customers will be able to easily monitor their vitals thanks to these two items.

Global Health Self-Monitoring Technologies Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Technology, Tool, End User, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Technology offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Technology:
Peripherals
Software
By Tool:
Wearable systems
Table systems
Mobile applications
By End User:
Hospitals
Clinics
Ambulatory Surgery Centers
Home Care Settings
Others

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Health Self-Monitoring Technologies Market, by Region, 2019-2029 (USD Billion)
1.2.2. Health Self-Monitoring Technologies Market, by Technology, 2019-2029 (USD Billion)
1.2.3. Health Self-Monitoring Technologies Market, by Tool, 2019-2029 (USD Billion)
1.2.4. Health Self-Monitoring Technologies Market, by End User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Health Self-Monitoring Technologies Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Health Self-Monitoring Technologies Market Dynamics
3.1. Health Self-Monitoring Technologies Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Increasing prevalence of acute diseases such as diabetes and chronic disease
3.1.1.2. Growing Geriatric Population
3.1.2. Market Challenges
3.1.2.1. High Cost of Health Self-Monitoring Technologies
3.1.3. Market Opportunities
3.1.3.1. High time requires for the physical tests
3.1.3.2. Rising technological advancement
Chapter 4. Global Health Self-Monitoring Technologies 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Health Self-Monitoring Technologies Market, by Technology
6.1. Market Snapshot
6.2. Global Health Self-Monitoring Technologies Market by Technology, Performance – Potential Analysis
6.3. Global Health Self-Monitoring Technologies Market Estimates & Forecasts by Technology 2019-2029 (USD Billion)
6.4. Health Self-Monitoring Technologies Market, Sub Segment Analysis
6.4.1. Peripherals
6.4.2. Software
Chapter 7. Global Health Self-Monitoring Technologies Market, by Tool
7.1. Market Snapshot
7.2. Global Health Self-Monitoring Technologies Market by Tool, Performance – Potential Analysis
7.3. Global Health Self-Monitoring Technologies Market Estimates & Forecasts by Tool 2019-2029 (USD Billion)
7.4. Health Self-Monitoring Technologies Market, Sub Segment Analysis
7.4.1. Wearable systems
7.4.2. Table systems
7.4.3. Mobile applications
Chapter 8. Global Health Self-Monitoring Technologies Market, by End User
8.1. Market Snapshot
8.2. Global Health Self-Monitoring Technologies Market by End User, Performance – Potential Analysis
8.3. Global Health Self-Monitoring Technologies Market Estimates & Forecasts by End User 2019-2029 (USD Billion)
8.4. Health Self-Monitoring Technologies Market, Sub Segment Analysis
8.4.1. Hospitals
8.4.2. Clinics
8.4.3. Ambulatory Surgery Centers
8.4.4. Home Care Settings
8.4.5. Others
Chapter 9. Global Health Self-Monitoring Technologies Market, Regional Analysis
9.1. Health Self-Monitoring Technologies Market, Regional Market Snapshot
9.2. North America Health Self-Monitoring Technologies Market
9.2.1. U.S. Health Self-Monitoring Technologies Market
9.2.1.1. Technology breakdown estimates & forecasts, 2019-2029
9.2.1.2. Tool breakdown estimates & forecasts, 2019-2029
9.2.1.3. End User breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Health Self-Monitoring Technologies Market
9.3. Europe Health Self-Monitoring Technologies Market Snapshot
9.3.1. U.K. Health Self-Monitoring Technologies Market
9.3.2. Germany Health Self-Monitoring Technologies Market
9.3.3. France Health Self-Monitoring Technologies Market
9.3.4. Spain Health Self-Monitoring Technologies Market
9.3.5. Italy Health Self-Monitoring Technologies Market
9.3.6. Rest of Europe Health Self-Monitoring Technologies Market
9.4. Asia-Pacific Health Self-Monitoring Technologies Market Snapshot
9.4.1. China Health Self-Monitoring Technologies Market
9.4.2. India Health Self-Monitoring Technologies Market
9.4.3. Japan Health Self-Monitoring Technologies Market
9.4.4. Australia Health Self-Monitoring Technologies Market
9.4.5. South Korea Health Self-Monitoring Technologies Market
9.4.6. Rest of Asia Pacific Health Self-Monitoring Technologies Market
9.5. Latin America Health Self-Monitoring Technologies Market Snapshot
9.5.1. Brazil Health Self-Monitoring Technologies Market
9.5.2. Mexico Health Self-Monitoring Technologies Market
9.5.3. Rest of Latin America Health Self-Monitoring Technologies Market
9.6. Rest of The World Health Self-Monitoring Technologies Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Alphabet Inc.
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Apple Inc.
10.2.3. Asustek Computer Inc.
10.2.4. Beurer GmbH
10.2.5. Cityzen Sciences
10.2.6. Garmin Ltd.
10.2.7. Hexoskin
10.2.8. Htc Corp.
10.2.9. Huawei Technologies Co. Ltd.
10.2.10. Ihealth Lab Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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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.
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