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A data analytics project evaluating market concentration (CR4 & HHI) in India's Cement, Automobile, and Power sectors from 2015-2024.

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Industry Concentration Analysis (2015-2024)

Project Overview

This project analyzes the market structure and competitive intensity of three major Indian sectors: Cement, Automobile, and Power[cite: 25]. By evaluating ten years of consolidated revenue data (2015–2024), this analysis uncovers shifting market dynamics, entry barriers, and the trajectory of corporate dominance in India's industrial landscape.

Key Metrics Calculated

  • Four-Firm Concentration Ratio (CR4): The percentage of the total market held by the top four firms, indicating baseline market control[cite: 27].
  • Herfindahl-Hirschman Index (HHI): The sum of the squared market shares of competing firms, providing a nuanced view of market inequality and concentration[cite: 27].

Core Findings

  • Cement Industry: Transitioning into a moderately concentrated oligopoly[cite: 34]. The CR4 reached nearly 70% by 2024, with the HHI spiking to 1,755 due to aggressive market capture by the leading firm[cite: 33, 34].
  • Automobile Industry: Maintains a highly competitive, unconcentrated structure[cite: 36]. Despite massive overall market growth, the CR4 remains balanced at around 41%, with a consistently low HHI (486 in 2024), indicating low entry barriers and intense competition[cite: 35, 36].
  • Power Industry: Experiencing a rapid structural shift. After years of stability, the CR4 jumped past 60% and the HHI reached 1,622 in 2024, driven by the dominance of state-run entities and the aggressive recovery of key private players[cite: 37, 38].

Repository Structure

  • market_data_2015_2024.csv - Raw revenue and market share dataset compiled from corporate annual reports, Screener, and SIAM[cite: 26].
  • concentration_metrics.py - Python script utilizing Pandas and Matplotlib to programmatically calculate CR4/HHI and generate trend visualizations.
  • Industry_Analysis.pdf - The comprehensive analytical report detailing macroeconomic interpretations and policy recommendations.

Tech Stack

  • Language: Python
  • Libraries: Pandas (Data Manipulation), Matplotlib/Seaborn (Data Visualization)
  • Concepts: Microeconomic Theory, Market Structures

About

A data analytics project evaluating market concentration (CR4 & HHI) in India's Cement, Automobile, and Power sectors from 2015-2024.

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