Research Methodology – 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 Data Center Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Data Center Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- The number of data centers globally and regionally
- Operational expenditure of data centers
- Revenues generated by data center providers
- Investments in data center infrastructure
- The storage capacity of the data centers
- Adoption rate of cloud and colocation services
- Trends in data growth and data traffic
- The level of digitalization in different sectors
- Number of data centers owned by top data center providers
Key Market Indicators
- Global IT spending
- Growth of big data and cloud computing
- Rate of digitalization across various industry verticals
- Growth rate of internet users and data generation
- Trends in Artificial Intelligence (AI) and Machine Learning (ML) adoption
- Internet of Things (IoT) device growth
- Government regulations on data storage and privacy
- Uptake of high speed internet technologies such as 5G
Growth Trends
- Increasing shift towards hyper-scale data centers
- Growth in the adoption of green data centers
- Increasing reliance on machine learning and AI technologies for data center operations
- Trends in the development and adoption of edge computing
- Increasing demand for colocation services
- Growth of data center infrastructure management (DCIM) tools
- Advancements in energy efficiency and cooling technologies for data centers
- Increased application of Virtualization in data centers
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 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 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