Research Methodology – Modular Data Center 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 Modular Data Center Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Modular Data Center Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Value of manufacturing or production in the Modular Data Center sector.
- Total sales revenue generated by all companies dealing in modular data centers.
- Market share of top companies in the market.
- Contribution of local manufacturers versus global manufacturers to the market size.
- Market potential of emerging economies for modular data centers.
- Investments made for infrastructural developments and research and development activities.
- Trends in the price of modules, installations, maintenance, and other services.
- Current and projected product demand in different sectors.
Key Market Indicators
- Growth in data generation and need for data storage.
- Cost and energy efficiency offered by modular data centers.
- Adoption rates of cloud and IoT devices, which catalyze the demand for data storage.
- Current and projected market growth rate.
- Technical advancements and innovation in modular data centers.
- Level of competition in the market.
- Government policies and level of support for modular data centers.
Growth Trends
- Increased demand for scalable and cost-effective data center solutions.
- Growth in cloud and digital services accelerates the demand for data storage.
- Rising adoption of modular data centers for disaster recovery.
- Trend of smart cities and digitalization in emerging economies.
- Growing focus on renewable energy sources and green data centers.
- Increasing collaboration and partnerships in the market.
- Growth in large scale data generation from various sectors like BFSI, IT and telecom, healthcare etc.
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 Modular Data Center 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 Modular Data Center 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