Research Methodology – Data Center Accelerator 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 Accelerator Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Data Center Accelerator Market is developed by integrating key market indicators and macroeconomic variables. These include:
Factors considered while calculating market size and share
- Number of data centers in the region or globally
- Adoption rate of accelerator technologies such as GPUs, FPGAs, and AI accelerators
- Market share of key players in the data center market
- Type of industries using data center accelerator
- Nature of technology: whether it is on-premise data center or cloud-based
- Spending on emerging technologies like AI, VR, IoT
- Hardware and software upgrade trends in data centers
Key Market Indicators
- Global Data Center Market Size
- Annual Sales of Data Center Accelerators
- Growth Rate of Data Center Accelerator Industry
- Market Share of Major Players in Data Center Accelerator Market
- Investment in data center technologies
- Number of New Entrants in the Market
Growth Trends
- Use of Artificial Intelligence and Machine Learning in Data Centers
- Adoption of Edge Computing in Data Centers
- Increase in utilization of cloud services
- Increased Demand for Real-Time Information to Drive the Demand for Accelerated Data Processing
- Growing need for energy-efficient and high-density data centers
- Increasing use of automation and AI to monitor 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 Accelerator 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 Accelerator 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