Research Methodology – IoT in Construction 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 in Construction Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the IoT in Construction Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- The current number of IoT applications used in the construction sector.
- The projected growth rate of the overall construction industry.
- Investments in IoT technologies made by construction companies.
- The extent of IT infrastructure available in the construction sector.
- The number of construction companies adopting IoT technologies.
- The market size of similar IoT technologies in related sectors.
- The percentage of budget construction companies are willing to allocate to IoT technologies.
Key Market Indicators
- The number of IoT technology providers catering to the construction industry.
- Innovation and development rate in IoT technology.
- The growth rate of IoT adoption across the construction sector.
- The yields or cost savings realized through the implementation of IoT in construction.
- The number of partnerships between construction companies and IoT technology providers.
Growth Trends
- Increasing adoption of smart devices and IoT in the construction industry.
- Growth in the implementation of IoT for safety measures in construction projects.
- Increasing use of IoT for monitoring and managing construction equipment and resources.
- Trend of digital transformation in the construction industry driving the adoption of IoT.
- Emerging trend of predictive maintenance and real-time monitoring in construction through IoT.
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 in Construction 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 in Construction 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