Google Play Store Data Analysis | Market Trends, App Performance, and Growth Opportunities

By abhishek.verma75000 · April 5, 2026

A complete data analysis of the Google Play Store dataset covering app installs, ratings, pricing, categories, updates, and market opportunities. The…

The analysis reveals which app categories have the highest total installs across the Google Play Store. A horizontal bar chart has been generated showing the Top 20 App Categories by Total Installs, making it easy to visually compare market segments at a glance.

The analysis successfully identified which app categories achieve the highest average ratings, with results displayed in a horizontal bar chart showing the top 20 categories. Categories are ranked by their average rating (out of 5 stars), filtered to include only those with at least 10 apps for statistical reliability.

The analysis identified the highest-revenue paid apps on the Google Play Store by multiplying each app's price by its install count. A horizontal bar chart shows the top 15 paid apps ranked by estimated revenue, and data tables provide detailed breakdowns including price, installs, and calculated revenue for the top 20 apps.

The analysis compared 10,039 free apps and 800 paid apps across three key metrics. A bar chart and data table were generated showing the differences clearly. Free apps dominate in volume and reach, while paid apps score slightly higher in ratings.

The analysis reveals how app installs are distributed across different Content Rating segments. Two visualizations were generated: a horizontal bar chart showing total installs per segment and a donut pie chart displaying each segment's market share. These charts make it easy to compare which audience categories dominate the app market in terms of total downloads.

The analysis identified app store categories where user demand (measured by total installs) is high relative to the number of available apps — signaling underserved, high-opportunity markets. Two interactive visualizations were generated to help you explore these findings visually.

Yes, app size does impact install numbers, though the relationship is relatively weak (correlation of 0.165). The sweet spot for maximum adoption is the 50-100MB size range, which achieves the highest average installs at nearly 29 million and a median of 1 million installs. Two charts were generated: a grouped bar chart comparing mean vs. median installs across size ranges, and a scatter plot showing individual app size vs. installs on a log scale.

Among 647 paid apps analyzed, lower price points clearly dominate both installs and ratings. The $1.00–$2.99 range achieves the highest median installs at 10,000 (across 243 apps), making it the sweet spot for download volume. Meanwhile, the cheapest tier ($0.01–$0.99) earns the best average rating of 4.30 out of 5 (107 apps). Two interactive charts were generated: one showing median installs by price range, and another combining average ratings and installs across all price tiers.

Yes, apps with more recent Last Updated dates do tend to have higher ratings and significantly more installs. Splitting the dataset at the median update date (June 1, 2018), recently updated apps average a rating of 4.27 compared to 4.11 for older apps — a modest but meaningful difference. The install gap is far more dramatic: recently updated apps have a median of 1,000,000 installs versus just 100,000 for older apps — a 10x difference. Two visualizations were generated: a line/bar chart showing average rating and median installs by quarter, and a box plot showing rating distributions by year (2014 onward).

The analysis identified the 20 apps with the highest number of reviews in the dataset. A horizontal bar chart has been generated showing each app ranked by review count, color-coded by category, so you can quickly see which categories dominate the most-reviewed apps. A data table is also available with the full details including each app's category and rating.

The analysis identified high-install apps (1 million+ installs) that haven't been updated since 2016, surfacing potential disruption opportunities. A bar chart was generated showing the breakdown by category, and supporting data tables were also produced to help explore these stale but popular apps.

A data table has been generated showing the categories with the highest ratio of paid apps along with their average prices. The analysis filtered apps by type (Free vs Paid), calculated the percentage of paid apps per category, and ranked the top 15 categories accordingly.

The analysis examined how average prices differ across Content Rating groups for paid apps in the dataset. A bar chart was generated showing the average price for each content rating category, and data tables were also produced with the detailed breakdown.

The analysis examined app update activity over the most recent year, comparing the first and second halves of the period to identify which categories showed the fastest growth. A bar chart was generated showing the top 15 categories ranked by their growth percentage in app updates.

The analysis identified apps that have a very high number of reviews but low ratings — a strong signal of widespread user dissatisfaction. Three data tables were generated showing these apps ranked by review volume and rating score. Apps in the top 10% of review counts but with ratings at or below 3.5 stars were flagged as dissatisfying despite their popularity.

The analysis successfully produced two visualizations and supporting data tables to help identify which minimum Android version requirements maximize installs and market reach. The horizontal bar chart shows average installs by Android version (filtered to versions with at least 10 apps), and the bubble chart maps each version's app count against average installs, with bubble size representing total installs — making it easy to spot the sweet spot between popularity and reach.

The volume of app updates has been tracked from May 2010 through August 2018, showing a strong upward trend over time. A line chart has been generated displaying the month-by-month update counts, making it easy to see how activity grew over the years. The data reveals that most updates are concentrated in more recent periods, with the peak occurring in July 2018 when 2,864 apps were updated in a single month.