Research Methodology

Research Methodology Process

We ensure that our reports are insightful and predictive by conducting primary and secondary research, integrating rigorous top-down and bottom-up approaches, and utilizing tools such as SPSS modeling and data integration.

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Bottom-Up and Top-Down Approach

Bottom-Up Approach

In this approach, we focus on collecting data on individual players, sales volumes, products, and pricing trends.

• Company revenues (product-wise, region-wise)
• Sales volumes and pricing
• Installed base, units sold, and average usage
• Country-level data from regulators and trade bodies

These micro-level insights are aggregated to estimate the market size and forecast growth. The bottom-up method is particularly effective for analyzing niche markets, competitive landscapes, and product-specific growth.

Top-Down Approach

In the top-down estimation model, we begin by assessing the total addressable market (TAM) and strategic positioning using macro-level data, such as:

• Global industry revenue
• Government expenditure
• Economic indicators (GDP, population, healthcare spending, etc.)
• Publicly available databases and industry forecasts

We then break down this data across market segments, subsegments, and regions, based on relevant ratios and historical trends. This method is ideal when global or regional market size data is available and needs to be segmented further for greater granularity.

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Primary Research

Primary research consists of data collection from sources based on market trends, consumer preferences, competitive positioning, product performance, and market demand.

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Secondary Research

Secondary research forms the backbone of market estimation, trend validation, and competitor benchmarking and enables the development of a robust, data-driven base before primary insights are integrated. It involves analyzing already published data from credible sources to identify historical trends and map market dynamics.

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SPSS Approach

We employ SPSS software to conduct regression analysis for market forecast, perform correlation analysis and evaluate variable relationships, for instance, R&D investment vs. product launches.

SPSS provides :

• Descriptive and inferential statistical analysis
• Trend forecasting and regression modeling
• Consumer behavior segmentation
• Market correlation analysis

This is used to analyze large data sets and identify patterns, actionable trends, and anomalies with higher precision.

Variables: Dependent & Independent

Dependent Variable:

Independent Variables:

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