This is a dataset of mobile video games that have generated at least $100 million in gross revenue. Among them, there are more than 30 mobile games that have grossed more than $1 billion. The video game company with the highest number of titles on the list is Tencent, which publishes and/or owns 12 games on the list, including three in the top ten.

Tabular data includes:

• Game
• Revenue
• Initial release
• Publisher(s)
• Genre(s)

The Mobile Games Dataset is a meticulously curated collection of 100+ top-rated mobile games spanning various genres. This dataset provides a valuable resource for game developers, researchers, and enthusiasts interested in exploring trends and patterns within the mobile gaming industry. Each entry includes the game name, developer, genre, and rating, offering a comprehensive overview of some of the most popular and critically acclaimed mobile games available today.

Column Descriptions:

• Game Name: The title of the mobile game.

  • Type: String
  • Example: "Candy Crush Saga"

• Developer: The name of the company or individual who developed the game.

  • Type: String
  • Example: "King"

• Genre: The category or type of game, indicating the primary gameplay mechanics.

  • Type: String
  • Example: "Puzzle"

• Rating: The average user rating of the game, typically on a scale from 1 to 5.

  • Type: Float
  • Example: 4.6

Database of Characters in Mobile Games

All the character in the following games are supported:

Arknights (crawled from https://prts.wiki) Fate/Grand Order (crawled from https://fgo.wiki) Azur Lane (crawled from https://wiki.biligame.com/blhx) Girls' Front-Line (crawled from https://iopwiki.com/) Genshin Impact (crawled from https://genshin-impact.fandom.com/ja/wiki/%E5%8E%9F%E7%A5%9E_Wiki)

The source code and python library is hosted on narugo1992/gchar, and the scheduled job is… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/game_characters.

Complete dataset used in the research study on Mobile Games as Marketing Tools: How Brands Leverage Gaming to Reach Consumers by Dr. Mark Wright

Analysis of ‘Mobile Games A/B Testing - Cookie Cats’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mursideyarkin/mobile-games-ab-testing-cookie-cats on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Context

This dataset includes A/B test results of Cookie Cats to examine what happens when the first gate in the game was moved from level 30 to level 40. When a player installed the game, he or she was randomly assigned to either gate_30 or gate_40.

Content

The data we have is from 90,189 players that installed the game while the AB-test was running. The variables are:

userid: A unique number that identifies each player. version: Whether the player was put in the control group (gate_30 - a gate at level 30) or the group with the moved gate (gate_40 - a gate at level 40). sum_gamerounds: the number of game rounds played by the player during the first 14 days after install. retention_1: Did the player come back and play 1 day after installing? retention_7: Did the player come back and play 7 days after installing?

When a player installed the game, he or she was randomly assigned to either.

Acknowledgements

This dataset is taken from DataCamp Cookie Cat is a hugely popular mobile puzzle game developed by Tactile Entertainment

Thanks to them for this dataset! 😻

--- Original source retains full ownership of the source dataset ---

📱📲 Most Played Mobile Games (2008-2020) 💫🕹️ is dataset created/founded by maria nadeem

ORIGINAL DESCRIPRION https://www.kaggle.com/datasets/ermolaevgerman/top-played-mobile-games-2008-2020 INIT EDA https://www.kaggle.com/code/ermolaevgerman/eda-top-mobile-games-newfeatures?scriptVersionId=188993416

After doing a little research, the dataset was slightly modified:

• The dates are now presented in a standardized form
• Some clearance in amount of people feature
• There are also columns with the countries where the companies are located, as well as the genres of the games

It now seems at least for me more friendly for EDA

In April 2025, total video games sales in the United States amounted to **** billion U.S. dollars, representing a one percent year-over-year increase. Generally speaking, the video game industry has its most important months in November and December, as video game software and hardware make very popular Christmas gifts. In December 2024, total U.S. video game sales surpassed **** billion U.S. dollars. Birth of the video game industry Although the largest regional market in terms of sales, as well as number of gamers, is Asia Pacific, the United States is also an important player within the global video games industry. In fact, many consider the United States as the birthplace of gaming as we know it today, fueled by the arcade game fever in the ’60s and the introduction of the first personal computers and home gaming consoles in the ‘70s. Furthermore, the children of those eras are the game developers and game players of today, the ones who have driven the movement for better software solutions, better graphics, better sound and more advanced interaction not only for video games, but also for computers and communication technologies of today. An ever-changing market However, the video game industry in the United States is not only growing, it is also changing in many ways. Due to increased internet accessibility and development of technologies, more and more players are switching from single-player console or PC video games towards multiplayer games, as well as social networking games and last, but not least, mobile games, which are gaining tremendous popularity around the world. This can be evidenced in the fact that mobile games accounted for ** percent of the revenue of the games market worldwide, ahead of both console games and downloaded or boxed PC games.

In June 2025, Roblox was the most-downloaded gaming app in the Google Play Store worldwide. The creative gaming platform generated more than 21.28 million downloads from Android users. Block Blast! was the second-most popular gaming app title with approximately 19.9 million downloads from global users.

In the first quarter of the fiscal year 2026, game publisher Electronic Arts (EA) generated over 1.08 billion U.S. dollars in net bookings via live services. Full game sales generated 214 million U.S. dollars in net bookings during the same period. Net bookings are defined as the net number of products and services sold digitally or sold-in physically in the period. Net bookings are calculated by adding total net revenue to the change in deferred net revenue for online-enabled games. Live services are EA’s revenue generator Gaming companies have pivoted to monetizing their titles beyond the initial purchase and are constantly working on keeping online players engaged via new characters, battle seasons and other in-game content. EA’s portfolio of live service games includes sports franchises EA Sports FC, and Madden NFL, as well as Battle Royale title Apex Legends, first-person shooter Battlefield V, and life simulation the Sims. All these titles are long-running series with new installments and downloadable content (DLC) being released regularly. On the flip side, the focus on live-service games means fewer big new releases, leading to a stagnation of the market in regard to new IPs (IP is short for intellectual property and a new IP refers to a new game which is not a spin-off or sequel of an existing game). Sports gamers are likely to spend money EA is constantly seeking to expand its EA Sports portfolio. In July 2025, EA released its first College Football video game after an eleven-year break since NCAA Football 14. This strategic decision is driven by several factors. First, sports gaming audiences are highly engaged and willing to spend money on additional gaming content. Second, any college football game will include rosters without names, images or likenesses or real college players to adhere to NCAA rules, which works in EA’s favor as the company as this keeps licensing costs low. And last, college football is a major pastime in EA’s biggest single market, the United States. All the pieces are lining up for EA to have another major moneymaker on their hands. This strategy paid off, as EA Sports College Football 25 became one of the top-selling video games in the United States in 2024.

Complete dataset used in the research study on Mobile Games and the Rise of Indie Developers: Breaking into the Industry by Dr. Jennifer Lopez

Complete dataset used in the research study on How Mobile Games Can Promote Inclusivity for Neurodiverse Players by Dr. Patrick Russell

This dataset contains demographic information and mobile gaming behavior of Indonesian Gen-Z. It includes responses from mostly Gen-Z participants with varying income and education levels. Additionally, the data captures frequently played games, gaming experience, and top-up preferences. The author creates a questionnaire and posts it online for the population and sample that have been predetermined. In this study, the questionnaire approach was utilized for data collection. The questionnaires of this study were distributed via Google forms with a distribution period of 3 months.

Complete dataset used in the research study on The Intersection of Mobile Games and Wearable Technology by Dr. Ruth Wood

Complete dataset used in the research study on Mobile Games and Cross-Platform Play: Bridging the Gap Between Devices by Dr. Kenneth Nelson

Selling virtual goods and currencies to consumers has grown into a major revenue model in digital games and online services. The Virtual Goods and Currencies Data Set is a freely available data set that describes the prices and other attributes of 11,289 virtual goods and currencies. The data set is drawn from 59 game titles on mobile, social media, and PC platforms.

The data comprises of in-depth interviews with two groups. The first is 20 parents and carers of children and young people who spend money in digital games and have purchased loot boxes (or similar). These interviews explored how parents view their child’s gaming and in-game purchases, how they understand paid reward systems in digital games, and what would help them navigate these systems with their children. The second group are 10 game designers who have experience of designing and developing digital games that contain paid reward systems. The focus here was to investigate how designers make decisions and how they understand the effects paid reward systems have on players. The aim of this data collection was to provide in- depth qualitative evidence of how children and young people engage with, understand, and experience paid reward systems in digital games (across console, mobile, and PC). Commonly called loot boxes, card packs, or spins, these digital items give randomised rewards of uncertain value in exchange for in-game currency purchased with real world money. Their success is largely predicated upon the use of techniques borrowed from regulated gambling to engage players and encourage repeated use of these mechanisms. The motivation for the study was therefore to collect data to investigate the link between paid reward systems in digital games and their relationship to techniques drawn from regulated gambling. These interviews were supplements to video ethnography with 42 families in the North East of England that were conducted in the family home to understand children and young people's practices and activities involving paid reward systems. These files are not uploaded to ReShare due to ethical considerations of recorded footage of children and young people in homes, as per our institutional ethical approval.Gambling style systems in digital games, such as loot boxes, cards, micro-transactions and forms of currency used to purchase game specific content have become widely adopted in a range of digital games. These models of revenue generation can take many forms, from free to play smart phone games that encourage the purchase of additional digital content, to full price videogame console releases that utilise chance based cards or 'loot' paid for with real currency. These systems are highly profitable, with publishers such as Activision earning over $4 billion from this aspect of their games in 2017 alone (Makuch 2018). But, their success is predicated upon the use of techniques and mechanics borrowed from machine gambling to encourage repeated use of these systems. While gambling is a highly regulated activity in the UK that is restricted to adults over the age of 18, many of these games are actively marketed and sold to children and young people under 18. This is problematic and the Gambling Commission (2017) has recently pointed out that 25,000 children between 11 and 16 are problem gamblers, 'with many introduced to betting via computer games and social media'. These systems thus raise important questions about their design and regulation, especially if they act as a gateway to other forms of gambling such as online casinos or fixed odds betting terminals. Despite the widespread nature of gambling style systems in digital games, no academic work has explicitly: 1. Investigated how children and young people use these systems in their everyday lives and whether they create any problems or issues for these groups. 2. Investigated how parents and guardians understand and regulate their children's use of these systems. To investigate these issues and fill this gap in knowledge the project researches three groups. 1. Digital reward system designers. Through interviews with 10 digital interface designers the project will identify the key mechanics and systems utilised in the games they have worked on and the aims of this design. 2. Children and young people who use gambling style systems in digital games. Through 100 hours of video ethnography across 40 families (equalling approximately 2.5 hours of footage per family), the project will investigate how children and young people use gambling style systems in digital games. In addition, 20 semi-structured interviews with children and young people will be conducted to understand how they use gambling style systems outside of the home, for example on mobile devices. 3. Parents of children and young people who use these systems. 20 interviews with parents will investigate how they understand these systems and whether they regulate their use of these systems and what form this regulation might take. Through research with these groups, the project develops a theoretical model of gambling style systems in digital games that investigates whether the success of their underlying mechanics is fundamentally linked to the space-times where they are used. It then examines how children and young people use these systems in practice and how they make sense of them. Utilising this body of evidence, the study will then offer recommendations as to whether these systems should be regulated and what form this regulation could take. The data comprises of qualitative semi-structured interviews with two groups. The first is parents and guardians of children and young people in the North East of England who have used loot boxes and bought in-game content in digital games and apps. Discussions focus on how and when children and young people spend money, and how parents and guardians understand and manage spending. The second group is games designers who create loot boxes and in-game spending systems in a range of games and apps. Here, discussion focuses on the techniques of design in relation to encouraging children and young people to spend money and how effective these techniques are. Sampling procedures involved snowball sampling.

Complete dataset used in the research study on How Mobile Games Create a Sense of Accomplishment in Players by Dr. Frank James

Here are a few use cases for this project:

1. Video Game Character Classification: The Tianshen model can be used in online or mobile games to differentiate characters based on their classes. This can boost personalization as players could search and select characters based on their related class.

2. Automated Storytelling: This model could aid in creating a storyline or plot for a game or animated series where it can identify the hero's class and generate a story based on it.

3. Content Recommendation System: A recommendation system can use the Tianshen model to suggest similar characters or character classes to users, thus enhancing the user experience on gaming platforms or comic websites.

4. Augmented Reality Experiences: This model can power an AR app that overlays information about the identified hero class when users point their camera at images of the characters.

5. Educational Aid for Fantasy Literature: Tianshen can be used in educational settings to help teach students about different character classes in fantasy literature, encouraging them to create their own stories.

The Region encourages creative diversity in the field of video games and strengthens its professional ecosystem, through selective and repayable support to production. Any work that meets the following criteria shall be eligible for this scheme: * The project must be a video game, on line or off line, on console, mobile phone, PC, social networks and on any distribution medium excluding “Pay to win” games, * The project must have an overall development cost greater than or equal to EUR 50.000, * The project must have at least 50 % of production expenditure in Île-de-France, * The project must not include sequences that could be classified as PEGI 18 (Pan-European Game Information). The dataset presents the list of production companies and games benefiting from the device: * Year of allocation of aid * Title of the game (this one could or may change at the time of its release) * Comment (1st game developed, or specificity) * Website of the production company * Website of the game * Amount of regional aid

Learn With Fun

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Let us analyze the games we daily play on our mobile phone !!

In the past couple of years, Mobile Battle Royale games have become quite popular amongst the gaming community. Due to this reason, there have been many e-sports tournaments of these games. This leads to analyzing each aspect of the game for preparing for tournaments. This dataset contains stats of guns used in the following battle royale games.

Games Included : 1. PUBG Mobile 2. Call of Duty Mobile 3. Garena Free Fire

This is my first dataset, so please put up a comment, or create a discussion forum if any issues found, or any changes needed. I will try to solve it as soon as possible.

Please upvote if you find it helpful. Thank you for your time!