Research Methodology – Performance Analytics 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 Performance Analytics Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Performance Analytics Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share
- Total addressable market (TAM)
- Serviceable available market (SAM)
- Serviceable obtainable market (SOM)
- Current sales & sales trends
- Competitor market share & business strategies
- Market growth rate & dynamics
- Industry developments & innovations
- Regulation and policy changes
- Economic and social factors impacting the market
- Technological developments and adoption rate
2 Key Market Indicators
- Gross Domestic Product (GDP)
- Inflation and deflation rates
- Unemployment rates
- Interest rates
- Consumer and business confidence indexes
- Market volatility and uncertainty indicators
- Technological advancements
- Regulatory and policy changes
- Demand and Supply Indicators
- Industry-specific indicators such as software adoption rate, digital transformation initiatives etc.
3 Growth Trends
- Increase in digital transformation initiatives
- Adoption of AI and machine learning technologies
- Integration of advanced analytics in business strategy
- Growth of Internet of Things (IoT) and big data analytics
- Increasing demand for cloud-based analytics solutions
- Rise in data volume created by various organizations
- Increased emphasis on real-time data analytics
- Emergence of predictive and prescriptive analytics
- Growth in demand for data-driven decision-making processes
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 Performance Analytics 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 Performance Analytics 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