Research Methodology – IoT Healthcare Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the IoT Healthcare Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the IoT Healthcare Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- The current number of IoT devices used in healthcare.
- The projected rate of growth of IoT devices in the healthcare sector.
- The value of the global healthcare market and how much IoT contributes to it.
- The price per unit or service of the IoT devices used in the healthcare sector.
- The number of hospitals, clinics and healthcare centres adopting IoT technologies.
- The spending on the Internet of Things in healthcare by large corporations and governments.
- The data on sales, revenue, and distribution channels of major players in the IoT healthcare market.
- The rate of adoption of new technology in the healthcare sector.
2 Key Market Indicators
- The advancement and development of healthcare IoT technology.
- The rate of IoT implementation in the healthcare sector.
- The degree of government support and regulation for IoT in healthcare.
- The level of internet access and availability of technology in different regions.
- The type and amount of funding and investments going into IoT healthcare startups.
- The global aging population trends and increasing healthcare needs.
3 Growth Trends
- The rising usage of IoT in telemedicine and remote patient monitoring.
- The growth in usage of wearable devices for health monitoring.
- The application of IoT for pandemic control and health emergencies.
- The growing acceptance of artificial intelligence (AI) for diagnosing diseases.
- The growth of healthcare data analytics using IoT devices.
- The increasing need for cost-efficient medical care using IoT.
- Adoption of cloud computing in healthcare sector is on rise.
- The increasing prevalence of chronic diseases driving the demand for reliable and efficient healthcare services.
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the IoT Healthcare Market. Key inputs include:
Company-Level Information
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
Industry and Government Sources
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the IoT Healthcare Market
Market Intelligence Sources
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
Expert Insights & KOL Engagements
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights