App Download Key StatisticsApp and Game DownloadsiOS App and Game DownloadsGoogle Play App and Game DownloadsGame DownloadsiOS Game DownloadsGoogle Play Game DownloadsApp DownloadsiOS App...

Use the OpenWeb Ninja Google Play App Store Data API to access comprehensive data on Google Play Store, including Android Apps / Games, reviews, top charts, search, and more. Our extensive dataset provides over 40 app store data points, enabling you to gain deep insights into the market.

The App Store Data dataset includes all key app details:

App Name, Description, Rating, Photos, Downloads, Version Information, App Size, Permissions, Developer and Contact Information, Consumer Review Data.

The graph shows a comparison for app downloads worldwide from 2018 to 2024, using data from Sensor Tower and data.ai. Global app downloads have plateued in recent years, even declining, after seeing strong growth during the COVID-19 pandemic. For 2024 136 billion unique dowloads per user account were recorded. Why the difference? Source methodology explains the gap The discrepancy arises from significant differences in the methodolgy used by the sources to aggregate and generate the data. Sensor Tower reports only unique downloads per user account, excluding app updates, re-downloads, and installations on multiple devices by the same user. In contrast, data.ai includes these additional activities as well as downloads from third-party Android stores and a broader geographic scope, resulting in substantially higher total counts. As a result, Sensor Tower's numbers better reflect new user acquisition, while data.ai's encompass all market activity and total engagement. Despite stagnating downloads user spending is growing While the number of downloads is leveling off, consumer spending on in-app purchases and related revenue has grown in 2024 to 150 billion U.S. dollars, up from aroud 130 billion U.S. dollars in 2023. While gaming remains the highest grossing app category overall, the growth was driven by other categories. The entertainment, photo & video, productivity, and social networking categories ech grew by at least one billion U.S. dollars in revenue in 2024 compared to the previous year.

Apple App Store Key StatisticsApps & Games in the Apple App StoreApps in the Apple App StoreGames in the Apple App StoreMost Popular Apple App Store CategoriesPaid vs Free Apps in Apple App...

Key Google Play StatisticsGoogle Play App and Game RevenueGoogle Play Gaming App RevenueGoogle Play App RevenueGoogle Play App and Game DownloadsGoogle Play Game DownloadsGoogle Play App...

Explore the Google Play Store Reviews Database, a comprehensive collection of user reviews for various apps available on the Google Play Store.

This dataset includes millions of reviews across a wide range of categories such as games, productivity, social media, finance, health, and more. Each review entry provides essential details, including app names, user ratings, review texts, review dates, and user feedback, offering valuable insights for developers, data analysts, and market researchers.

Key Features:

• Extensive Review Coverage: Contains millions of user reviews from the Google Play Store, covering various app categories like games, productivity, social media, finance, and health.
• Detailed Review Information: Each review includes key details such as app name, user rating, review text, review date, and user feedback, allowing for in-depth analysis of user sentiment and app performance.
• Ideal for Market Analysis: Perfect for developers, data scientists, and market researchers interested in analyzing user feedback, studying trends in app usage, or optimizing app development strategies based on user reviews.
• Rich Source of User Insights: Provides a comprehensive overview of user experiences and preferences, helping professionals stay updated on the latest trends, popular apps, and user satisfaction levels.

Whether you're analyzing user feedback, researching market trends, or developing new app strategies, the Google Play Store Reviews Database is an invaluable resource that provides detailed insights and extensive coverage of app reviews on the Google Play Store.

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions gamers profiles divided into popular categories. You can choose which target groups you want to reach. Contact us to check all the possibilities: team@oan.pl

Gaming data is just a part of all audience data we provide. We deliver millions of users’ profiles gathered globally and grouped into IAB-compliant segments.

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Contact us to check all the possibilities: team@oan.pl

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

Mobile games make up the majority of video games released each year, with thousands of new additions to the Apple App Store and Google Play Store every year. By the mid-2010s, mobile games had...

The pendulum swung in 2022 with app downloads stagnating, after two years of solid growth under the pandemic. In 2023, some categories saw growth while others continued to stagnate, as users shifted...

Snapshot img

Mobile Gaming Market Size 2025-2029

The mobile gaming market size is forecast to increase by USD 82.4 billion at a CAGR of 11.3% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the rising popularity of multiplayer mobile games and the increasing availability of free-to-play options. The popularity of multiplayer mobile games continues to rise, as players seek social interaction and competition in their gaming experiences. These trends have expanded the market's reach, attracting a larger and more diverse player base. However, the increasing cost of mobile gaming development poses a significant challenge for market players. With the demand for high-quality graphics and immersive gameplay experiences continuing to rise, the financial investment required to develop and launch successful mobile games is becoming increasingly steep. Companies seeking to capitalize on market opportunities must navigate this challenge effectively by implementing cost-effective development strategies, such as utilizing cloud-based gaming technologies or outsourcing development to lower-cost regions.
Additionally, partnerships and collaborations with other industry players can help reduce development costs and share risks. Overall, the market's strategic landscape is characterized by intense competition and a rapidly evolving technological landscape, requiring companies to stay agile and adapt to changing consumer preferences and market trends.

What will be the Size of the Mobile Gaming Market during the forecast period?

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The market continues to evolve, with dynamic market activities shaping player behavior and gaming trends. In-game advertising and subscription services have emerged as key monetization strategies, offering new revenue streams for game developers. Accessibility features, such as closed captioning and adjustable difficulty levels, enhance user experience and broaden the reach of action games, simulation games, and mid-core titles. Social media marketing and influencer partnerships fuel user acquisition, while mobile esports and competitive gaming foster engagement and community building. Augmented Reality And Virtual Reality technologies bring immersive experiences to puzzle games and adventure titles. Game development, driven by user feedback and data analysis, adapts to player preferences, resulting in innovative game designs and monetization models.
Cloud gaming and Game Streaming services expand access to games, enabling players to enjoy their favorite titles on various devices. Game analytics and engagement metrics provide valuable insights, informing game development and marketing strategies. The ongoing unfolding of these market activities underscores the continuous evolution of mobile gaming, with monthly active users and daily active users driving growth across various sectors. In-app purchases and user experience remain crucial factors in player retention, while app store optimization and game design continue to influence market success. The mobile gaming landscape remains vibrant and dynamic, with ongoing advancements in technology and player preferences shaping the future of this ever-evolving industry.

How is this Mobile Gaming Industry segmented?

The mobile gaming industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Platform

  Online
  Offline


Type

  Casual gaming
  Professional gaming


Game Genre

  Puzzle Games
  Battle Royale Games
  Idle Games
  Strategy Games
  Others


Distribution Channel

  App Stores
  Online Platforms
  Pre-Installed Games
  Others


End-User

  Casual Gamers
  Competitive Gamers
  Young Gamers
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Platform Insights

The online segment is estimated to witness significant growth during the forecast period.

Mobile gaming has experienced significant growth, with online segment adoption increasing due to the widespread use of mobile devices and internet penetration. Free games on app stores and the convenience of playing from anywhere, at any time, contribute to this trend. Social interaction is a key element in certain online games, fostering community building and enabling users to engage with friends or strangers during gameplay. In-game advertising, monetization strategies such as in-app purchases and subscription services, and user acquisition through social media marketing are essential components of the mobile gaming industry. Action games, simulati

Here are a few use cases for this project:

1. Checkers Gaming App: An application where the "Bancada de Damas" model is used for recognizing different types of checkers pieces in order to automate gameplay. For instance, users could play virtual games of checkers using real pieces, with the AI keeping track of the game state.

2. Sorting and Packaging: The model could be used in factories or warehouses for automatic sorting of checker pieces. For instance, after the manufacture of 'Dama' pieces, the model could help to sort and package them according to their classes.

3. Educational Checkers Game: Launch of an interactive educational tool where children or beginners can learn how to play checkers more easily. The model can identify the moves made and provide instant feedback, corrections, and pointers to improve the player's game.

4. Quality Control: In a checkerboard game manufacturing unit, the model could be used for quality assurance to identify if pieces are painted the correct color (green, orange, dama_green, dama_orange) after production.

5. Augmented Reality Games: Use the model to develop an AR game, where players move physical pieces and the game progress is tracked digitally. The model identifies the pieces and updates the game-state accordingly in real time.

Here are a few use cases for this project:

1. Online Gaming Platforms: Can be used by digital gaming platforms to create an online mahjong game with a feature that allows players to use real mahjong tiles by identifying the tiles through their camera.

2. Mahjong Tile Sorting Apps: This model can be useful for building applications that use the phone camera for sorting or identifying missing mahjong tiles in a set.

3. Training Machine Learning Models: The Makinoi model can be used as training data for other models that need to recognize oriental game pieces or specific patterns.

4. Creating Augmented Reality Games: It could be utilized to create augmented reality-based mahjong game apps. Players can superimpose virtual game elements on their physical mahjong tiles for an enhanced playing experience.

5. Assistive Technology for Visually Impaired: The model could be used to develop assistive technologies that identify mahjong tiles for visually impaired players, allowing them to participate in the game.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions gamers profiles divided into popular categories. You can choose which target groups you want to reach. Contact us to check all the possibilities: team@oan.pl

Gaming data is just a part of all audience data we provide. We deliver millions of users’ profiles gathered globally and grouped into IAB-compliant segments.

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

Indonesia Import: Volume: Printed Matter Which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data was reported at 0.001 kg mn in Jan 2025. This records an increase from the previous number of 0.000 kg mn for Dec 2024. Indonesia Import: Volume: Printed Matter Which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data is updated monthly, averaging 0.001 kg mn from Apr 2022 (Median) to Jan 2025, with 34 observations. The data reached an all-time high of 0.017 kg mn in Jun 2024 and a record low of 0.000 kg mn in Apr 2024. Indonesia Import: Volume: Printed Matter Which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAH147: Foreign Trade: by HS 8 Digits: Import: HS49: Printed Books, Newspapers, Pictures, and Other Products of Printing Industry, Manuscripts, Typescripts, and Plans.

Indonesia Export: Value: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data was reported at 0.144 USD mn in Nov 2024. This records an increase from the previous number of 0.090 USD mn for Oct 2024. Indonesia Export: Value: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data is updated monthly, averaging 0.006 USD mn from Apr 2022 (Median) to Nov 2024, with 32 observations. The data reached an all-time high of 0.144 USD mn in Nov 2024 and a record low of 0.000 USD mn in Jan 2024. Indonesia Export: Value: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAH049: Foreign Trade: by HS 8 Digits: Export: HS49: Printed Books, Newspapers, Pictures, and Other Products of Printing Industry, Manuscripts, Typescripts, and Plans.

Snapshot img

Artificial Intelligence (AI) In Games Market Size 2025-2029

The artificial intelligence (ai) in games market size is forecast to increase by USD 27.47 billion, at a CAGR of 42.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Augmented Reality (AR) and Virtual Reality (VR) games. These immersive technologies are revolutionizing the gaming industry by providing more realistic and interactive experiences, thereby fueling the demand for advanced AI capabilities. AI algorithms enable more intelligent and responsive non-player characters, dynamic game environments, and personalized user experiences. However, the market faces challenges, primarily due to the latency issues in between games. As AI-driven games become more complex and data-intensive, ensuring seamless and low-latency interactions between players and the game environment becomes crucial. Addressing these latency issues will require continuous advancements in AI technologies, network infrastructure, and cloud gaming solutions.
Companies seeking to capitalize on the market opportunities must focus on developing AI solutions that deliver high-performance, low-latency experiences while ensuring data security and privacy. Effective collaboration between game developers, technology providers, and network infrastructure companies will be essential to address these challenges and drive the growth of the AI in Games market.

What will be the Size of the Artificial Intelligence (AI) In Games Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, integrating advanced technologies such as e-sports integration, player behavior analysis, game analytics, game engine optimization, computer vision, UI, QA, game balance, game AI, character AI, social features, gameplay mechanics, cloud gaming, game physics engines, in-app purchases, game localization, multiplayer networking, performance benchmarking, streaming integration, pathfinding algorithms, procedural generation, UX, subscription models, competitive gaming, machine learning models, neural networks, advertising integration, and audio design. These technologies are not static entities but rather dynamic components that unfold and intertwine, shaping the market's intricate landscape. E-sports integration and player behavior analysis enable game developers to create more engaging experiences, while game analytics offers valuable insights into player preferences and trends.

Game engine optimization and computer vision enhance game performance and visual quality, respectively. UI and QA ensure seamless user experiences and bug-free gameplay, respectively. Game balance and character AI add depth and complexity to game mechanics. Machine learning models and neural networks facilitate intelligent decision-making, while social features and gameplay mechanics foster community engagement. Cloud gaming and streaming integration expand accessibility, and game physics engines and in-app purchases generate revenue. Game localization and multiplayer networking cater to diverse player bases, and performance benchmarking ensures optimal game performance. The ongoing interplay of these technologies shapes the market's dynamics, with new applications and innovations continually emerging.

How is this Artificial Intelligence (AI) In Games Industry segmented?

The artificial intelligence (ai) in games industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  AI enabled platforms
  AI enabled games


Technology

  Machine learning
  Natural language processing
  Computer vision
  Robotics


Game

  Action
  Adventure
  Casual
  Racing
  Simulation
  Sports
  Strategy


Application

  Gameplay Optimization
  Character Behavior Generation
  Level Design
  Player Engagement


End-User

  Developers
  Publishers
  Players


Platform Type

  Console
  PC
  Mobile
  Cloud


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    Australia
    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The ai enabled platforms segment is estimated to witness significant growth during the forecast period.

In the dynamic gaming industry, Artificial Intelligence (AI) is revolutionizing game development and player experience. AI technologies, including deep learning, reinforcement learning, and machine learning models, are integrated into various aspects of game creation. These tools enhance level d

Indonesia Export: Volume: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data was reported at 0.000 kg mn in Jan 2025. This records a decrease from the previous number of 0.022 kg mn for Dec 2024. Indonesia Export: Volume: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data is updated monthly, averaging 0.000 kg mn from Apr 2022 (Median) to Jan 2025, with 34 observations. The data reached an all-time high of 0.028 kg mn in Nov 2024 and a record low of 0.000 kg mn in Jan 2024. Indonesia Export: Volume: Printed Matter which Grants the Right To Access,Install,Reproduce/Otherwise Use Software(Games),Data,Internet Content(In-Game/In-App Content)/Services,or Telecommunications Services(Mobile Services) data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Foreign Trade – Table ID.JAH049: Foreign Trade: by HS 8 Digits: Export: HS49: Printed Books, Newspapers, Pictures, and Other Products of Printing Industry, Manuscripts, Typescripts, and Plans.

Here are a few use cases for this project:

1. Automatic Game Analysis: Analyze basketball matches in real-time or post-game to provide insights such as player movements, ball possession, and scoring opportunities. This could benefit sports analysts, coaches, and teams in improving their strategies and understanding of individual players' performance.

2. Player Performance Tracking: Monitor and evaluate individual player performance during practice sessions or games using identified player and ball classes. This could help in personalized training, skill development, and detecting strengths and weaknesses of each player.

3. Crowd Management and Security: Enhance stadium security and manage crowds during basketball events. The model can be used to detect unauthorized persons entering the court, monitor player and crowd interactions, and ensure overall safety during games.

4. Interactive Basketball Applications: Develop interactive apps or games that use augmented reality (AR) or virtual reality (VR) to simulate real-life basketball playing experiences. The computer vision model could help track ball movement and player positions for a more immersive and realistic gaming experience.

5. Marketing and Advertising: Analyze audience engagement during basketball games for targeted marketing and advertising campaigns. By detecting the presence of specific players, the model could help identify the most popular players and recommend athlete endorsements or product placements to relevant brands.