Research Methodology – Cloud Computing 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 Cloud Computing Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Cloud Computing Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Number of cloud service providers in the market
- The revenue generated by these providers
- Different types of cloud services such as IaaS, PaaS and SaaS
- Market penetration of each service in different regions and user industries
- Market growth rate
- Market trends and future growth projections
- User adoption rates
- New entrants and their potential growth impact
- Government regulations and policies
- Technological advancements in the field
2 Key Market Indicators
- Growth rate of cloud computing market
- Adoption rate of cloud-based services across different industries
- Revenue generated by the leading cloud service providers
- Annual spending on public and private cloud services
- Number of data centers and servers dedicated to cloud services
- Number of businesses moving their operations to the cloud
- Investments in cloud technologies
3 Growth Trends
- Increased adoption of cloud services across all sectors, particularly among small and medium businesses
- Increasing trend of Hybrid cloud solutions
- Growing importance of cloud services in data analytics and big data
- Increasing use of cloud-based artificial intelligence and machine learning services
- Emergence of edge computing and Internet of Things applications powered by cloud
- Growth in demand for cloud security solutions
- The expansion of 5G network and its impact on the cloud services market
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 Cloud Computing 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 Cloud Computing 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