Research Methodology – Data Center Colocation 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 Colocation Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Data Center Colocation 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 data center colocation providers in the market.
- The size and capacity of each provider's data center facilities.
- The pricing models and cost per square foot or rack offered by different service providers.
- Existing demand for data center colocation services in different industries and regions.
- Projected increase in the demand for these services.
- The rate of adoption of cloud services and digital transformations in various organizations.
Key Market Indicators
- The overall revenue generated from data center colocation services.
- The average annual growth rate of the market.
- Market trends and demands in relation to different verticals such as IT & telecom, banking, retail and manufacturing.
- Geographical analysis of the market â growth, revenue, and trends in different regions.
- Technological advancements in the field of data center infrastructure.
- Influence of environmental regulations and green initiatives on data center designs.
Growth Trends
- Increased adoption of data center colocation by small and medium-sized enterprises.
- Growth in the adoption of cloud and IoT technologies, leading to higher demand for data center services.
- Expansion and technological advancements in 5G and edge computing influencing the data center colocation market.
- Shift towards green and sustainable data center solutions.
- The rising trends of AI-driven operations in data centers.
- Increasing investments in hyperscale 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 Colocation 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 Colocation 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