46 datasets found
  1. Video gaming market revenue growth worldwide 2021-2030, by segment

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). Video gaming market revenue growth worldwide 2021-2030, by segment [Dataset]. https://www.statista.com/topics/868/video-games/
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    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    In 2030, the revenue growth is forecast to significantly decrease in all segments compared to the previous time point. In this context, the notably strong decrease of the segment Cloud Gaming towards the end of the forecast period stands out. In comparison to the average decrease of 0.4344 percent, the revenue change is decreasing significantly here, with a value of 2 percent. Find further statistics on other topics such as a comparison of the revenue in India and a comparison of the revenue in the United Kingdom.The Statista Market Insights cover a broad range of additional markets.

  2. Annual IPO value of video gaming companies 2013-2025 YTD

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). Annual IPO value of video gaming companies 2013-2025 YTD [Dataset]. https://www.statista.com/topics/868/video-games/
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    In 2025 year-to-date, there was one initial public offering in the gaming industry worldwide, worth a total market cap of 2.2 million U.S. dollars. In 2024, gaming industry IPO value totalled 3.07 billion U.S. dollars.

  3. Annual IPO volume of video gaming companies 2013-2025 YTD

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). Annual IPO volume of video gaming companies 2013-2025 YTD [Dataset]. https://www.statista.com/topics/868/video-games/
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    In 2025 year-to-date, there was one initial public offering in the gaming industry worldwide, a significant decline from the previous year. The gaming industry's IPO activity peaked in 2021, with 35 companies going public. The value of 2025 gaming IPOs amounted to 2.2 billion U.S. dollars.

  4. 🎮online gaming behavior dataset

    • kaggle.com
    Updated Sep 30, 2025
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    Wasiq Ali (2025). 🎮online gaming behavior dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/13216944
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 30, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Wasiq Ali
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Online Gaming Insights Dataset Analysis

    📊 Dataset Overview

    This dataset contains 1,831 records of player gaming behavior with 13 features covering demographic information, gameplay patterns, and engagement metrics. The data appears to be synthetically generated for gaming analytics research.

    🎯 Dataset Purpose

    This dataset is designed for player behavior analysis, engagement prediction, and gaming industry insights. It can be used to understand player preferences, predict churn, optimize game design, and target marketing strategies.

    📋 Data Structure

    Core Features:

    FeatureTypeDescriptionValues/Range
    PlayerIDNumericUnique player identifier9000-10842
    AgeNumericPlayer age15-49 years
    GenderCategoricalPlayer genderMale, Female
    LocationCategoricalGeographic regionUSA, Europe, Asia, Other
    GameGenreCategoricalGame categoryStrategy, Sports, Action, RPG, Simulation
    PlayTimeHoursNumericTotal hours played0.024 - 23.96 hours
    InGamePurchasesBinaryPurchase behavior0 (No), 1 (Yes)
    GameDifficultyCategoricalGame difficulty levelEasy, Medium, Hard
    SessionsPerWeekNumericWeekly session frequency0-19 sessions
    AvgSessionDurationMinutesNumericAverage session length10-179 minutes
    PlayerLevelNumericPlayer progression level1-99
    AchievementsUnlockedNumericAchievements completed0-49
    EngagementLevelCategoricalPlayer engagement categoryLow, Medium, High

    🔍 Key Insights from Initial Analysis

    Demographic Distribution:

    • Age Range: Broad distribution from teenagers (15) to adults (49)
    • Gender: Balanced male/female representation
    • Geographic Spread: USA, Europe, Asia, Other regions covered

    Gameplay Patterns:

    • Play Time: Wide variance (some players <1 hour, others >20 hours)
    • Session Behavior: Frequent short sessions vs. infrequent long sessions
    • Progression: Player levels show diverse progression rates
    • Monetization: Mixed in-game purchase behavior

    Game Preferences:

    • All major genres represented: Strategy, Sports, Action, RPG, Simulation
    • Difficulty levels evenly distributed across games

    🤖 Machine Learning Prediction Opportunities

    1. Player Engagement Prediction

    # Target: EngagementLevel (Low, Medium, High)
    # Features: All other columns
    # Model Type: Multi-class Classification
    # Algorithms: Random Forest, XGBoost, Neural Networks
    
  5. Metacritic's Best Games and Reviews - 2025

    • kaggle.com
    Updated Mar 16, 2025
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    Davut Bayık (2025). Metacritic's Best Games and Reviews - 2025 [Dataset]. https://www.kaggle.com/datasets/davutb/metacritic-games
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 16, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Davut Bayık
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    *Also find Metacritic Movies and Metacritic TV Shows datasets.*

    Metacritic Games and Reviews Dataset

    This dataset contains a collection of video games and their corresponding reviews from Metacritic, a popular aggregate review site. The data provides insights into various video games across different platforms, including PC, PlayStation, Xbox, and others. Each game entry includes critical reviews, user reviews, ratings, and other relevant information that can be used for analysis, natural language processing, machine learning, and predictive modeling.

    Important Note: *The games in this collection are selected from Metacritic's Best Games of All Time list, which only includes titles that have received at least 7 reviews, ensuring a minimum level of critical and user input.*

    Up-to-dateness: *This dataset is accurate as of March 14, 2025, and includes the most current rankings and game details available at that time.*

    Content

    The dataset contains general information and scores of 13K+ games and their corresponding 1.6M+ user/critic reviews collected by sending automated requests to Metacritic's public backend API using Python's requests and pandas libraries.

    Potential Uses

    • Sentiment analysis and natural language processing on reviews.
    • Predictive modeling for predicting user ratings based on features like genre, publisher, and developer.
    • Data analysis on trends in game quality, genres, or platform performance.
    • Comparing critical reviews and user reviews to understand the divergence in ratings.

    This dataset is perfect for researchers, game enthusiasts, and data scientists who are interested in exploring the gaming industry through data analysis.

    Acknowledgements

  6. VC and private funding raised by global gaming companies as of Q1 2025

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). VC and private funding raised by global gaming companies as of Q1 2025 [Dataset]. https://www.statista.com/topics/868/video-games/
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    Venture capital (VC) and other private investment in the gaming industry peaked in 2022. In the second quarter of that year, the amount of private funding generated by investment in the global gaming industry amounted to 7.1 billion U.S. dollars. In the fourth quarter of 2024, such funding came to 700 million U.S. dollars for the period.

  7. m

    NVIDIA Corporation - Payables-Turnover

    • macro-rankings.com
    csv, excel
    Updated Jul 6, 2024
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    macro-rankings (2024). NVIDIA Corporation - Payables-Turnover [Dataset]. https://www.macro-rankings.com/markets/stocks/nvda-nasdaq/key-financial-ratios/activity/payables-turnover
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jul 6, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Payables-Turnover Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

  8. F

    English-Spanish Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-Spanish Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/spanish-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Spanish Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Spanish, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Spanish and Spanish to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Spanish markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

  9. F

    English-Chinese Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-Chinese Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/chinese-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Chinese Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Chinese, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Chinese and Chinese to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Chinese markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

  10. m

    NVIDIA Corporation - Pretax-Margin

    • macro-rankings.com
    csv, excel
    Updated Sep 1, 2025
    + more versions
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    macro-rankings (2025). NVIDIA Corporation - Pretax-Margin [Dataset]. https://www.macro-rankings.com/Markets/Stocks/NVDA-NASDAQ/Pretax-Margin
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Pretax-Margin Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

  11. Capcom total annual gaming software unit sales 2014-2024, by format

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). Capcom total annual gaming software unit sales 2014-2024, by format [Dataset]. https://www.statista.com/topics/868/video-games/
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    In fiscal year 2024, Capcom sold approximately 45.89 million games, 41.35 million of which were digital game downloads. The company's steady increase of digital game software download sales is in line with the general pivot of gaming sales towards digital store solutions. The outbreak of the COVID-19 pandemic has accelerated this process.

  12. Video gaming ARPU worldwide 2020-2030, by segment

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jun 6, 2025
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    Jessica Clement (2025). Video gaming ARPU worldwide 2020-2030, by segment [Dataset]. https://www.statista.com/topics/1680/gaming/
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    Significant fluctuations are estimated for all segments over the forecast period for the average revenue per user. The average revenue per user decreases towards the end of the forecast period only in the segment Physically Sold Video Games, while the remaining segments follow a positive trend. The difference between 2020 and 2030 amounts to an absolute value of 2.15 U.S. dollars. Find further statistics on other topics such as a comparison of countries or regions regarding the revenue and a comparison of the penetration rate in Norway.The Statista Market Insights cover a broad range of additional markets.

  13. F

    English-German Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-German Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/german-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-German Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and German, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to German and German to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-German markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

  14. Number of major upcoming video games 2022-2024, by platform

    • statista.com
    • tokrwards.com
    Updated Nov 6, 2024
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    Jessica Clement (2024). Number of major upcoming video games 2022-2024, by platform [Dataset]. https://www.statista.com/topics/868/video-games/
    Explore at:
    Dataset updated
    Nov 6, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jessica Clement
    Description

    Of the most anticipated 200 upcoming new video games from late 2022 through 2024, 156 were planned for release on PC, making it the most popular platform. Additionally, 115 games were planned for PlayStation 5 and another 113 were going to be released for Xbox Series X/S, too. In terms of platform exclusivity, 22 games were projected to be PlayStation-only, and 26 planned titles were going to be released only on Xbox but not on PlayStation.

  15. m

    Light & Wonder Inc - Debt-To-Equity-Ratio

    • macro-rankings.com
    csv, excel
    Updated Mar 18, 2025
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    macro-rankings (2025). Light & Wonder Inc - Debt-To-Equity-Ratio [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=LNW.US&Item=Debt-To-Equity-Ratio
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Debt-To-Equity-Ratio Time Series for Light & Wonder Inc. Light & Wonder, Inc. operates as a cross-platform games company in the United States and internationally. The company operates through three segments: Gaming, SciPlay, and iGaming segments. The Gaming segment sells game content and gaming machine; video gaming terminals; video lottery terminals, including conversion kits and spare parts; and table game products, including automatic card shufflers, deck checkers, table roulette chip sorters and other land-based table gaming equipment. It also leases or provides gaming content, gaming machines, and server-based system; sells and supports casino-management system based software and hardware; and licenses proprietary table games content to commercial, tribal, and governmental gaming operators. The SciPlay segment develops, markets, and operates social games on various online platforms. It sells virtual coins, chips, or bingo cards, which players can use to play slot games, table games, and bingo games. The iGaming segment provides a suite of digital gaming content, distribution platforms, player account management systems, and other iGaming content and services. This segment also offers the Open Platform System, which offers a range of reporting and administrative functions and tools providing operators control over various areas of digital gaming operations. Light & Wonder, Inc. was incorporated in 1984 and is headquartered in Las Vegas, Nevada.

  16. F

    English-Ukrainian Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-Ukrainian Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/ukrainian-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Ukrainian Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Ukrainian, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Ukrainian and Ukrainian to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Ukrainian markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic

  17. F

    English-Turkish Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-Turkish Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/turkish-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Turkish Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Turkish, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Turkish and Turkish to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Turkish markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

  18. m

    NVIDIA Corporation - Days-of-Inventory-On-Hand-Turnover

    • macro-rankings.com
    csv, excel
    Updated Mar 17, 2025
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    macro-rankings (2024). NVIDIA Corporation - Days-of-Inventory-On-Hand-Turnover [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=NVDA.US&Item=Days-of-Inventory-On-Hand-Turnover
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Days-of-Inventory-On-Hand-Turnover Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

  19. F

    English-Russian Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). English-Russian Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/russian-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Russian Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Russian, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Russian and Russian to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Russian markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

  20. F

    English-Korean Parallel Corpus for the Gaming Domain

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
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    FutureBee AI (2022). English-Korean Parallel Corpus for the Gaming Domain [Dataset]. https://www.futurebeeai.com/dataset/parallel-corpora/korean-english-translated-parallel-corpus-for-gaming-domain
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The English-Korean Gaming Parallel Corpora is a curated bilingual dataset designed to support game localization, machine translation, and language model training for the Gaming industry. It consists of over 50,000 sentence pairs, professionally translated between English and Korean, capturing the linguistic and cultural depth of gaming content.

    Dataset Content

    Volume and Translator Diversity
    Total Sentence Pairs: 50,000+
    Contributors: Over 200 native and professional translators
    Source: All content is original and tailored specifically for the Gaming domain
    Sentence Variety
    Sentence Length: 7 to 25 words
    Sentence Types: Includes simple, compound, and complex sentences
    Forms Covered: Interrogative, imperative, affirmative, and negative sentences
    Voice Diversity: Sentences written in both active and passive voice
    Stylistic Coverage: Includes idioms, metaphors, gaming slang, and figurative expressions
    Discourse Elements: Contains conjunctions, logical connectors, and transitional phrases for natural flow
    Bidirectional Structure: Includes English to Korean and Korean to English translations for robust model training

    Domain-Specific Focus

    Gaming Language Coverage
    Terminology: Covers in-game elements, UI/UX, controls, multiplayer features, and genre-specific phrases
    Dialogue Content: Includes NPC dialogue, tutorial lines, mission briefings, walkthroughs, and strategy guidance
    Communication Scenarios: Reflects live chat, support queries, and multiplayer messaging
    Cross-Domain Inclusion: Contains relevant terms from adjacent domains like entertainment, esports, virtual worlds, and AR/VR
    Format and Structure
    File Formats: Delivered in Excel, with optional conversion to JSON, TMX, XML, XLIFF, XLS, or other standard formats
    Structure Fields: Serial Number, Unique ID, Source Sentence, Source Word Count, Target Sentence, Target Word Count
    Sentence Alignment: Sentence-level parallel pairs with consistent formatting for MT pipelines

    Usage and Applications

    Machine Translation: Train and fine-tune domain-specific MT engines for gaming content
    Game Localization: Adapt games across English-Korean markets while preserving nuance and playability
    NLP Tools: Power predictive keyboards, grammar checkers, spelling correction, and sentence completion models
    LLM Fine-Tuning: Strengthen bilingual comprehension and translation capabilities in large language models
    Dialogue Systems: Enable context-aware, conversational AI for in-game or support environments
    Bilingual Retrieval: Use for cross-language search, sentence matching, and similarity scoring

    Alignment Confidence and Quality Assurance

    All translations are manually verified by native bilingual experts for accuracy, naturalness, and domain relevance
    Each sentence pair is reviewed to ensure semantic alignment and stylistic consistency
    <div

Share
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Email
Click to copy link
Link copied
Close
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Jessica Clement (2024). Video gaming market revenue growth worldwide 2021-2030, by segment [Dataset]. https://www.statista.com/topics/868/video-games/
Organization logo

Video gaming market revenue growth worldwide 2021-2030, by segment

Explore at:
166 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 6, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Jessica Clement
Description

In 2030, the revenue growth is forecast to significantly decrease in all segments compared to the previous time point. In this context, the notably strong decrease of the segment Cloud Gaming towards the end of the forecast period stands out. In comparison to the average decrease of 0.4344 percent, the revenue change is decreasing significantly here, with a value of 2 percent. Find further statistics on other topics such as a comparison of the revenue in India and a comparison of the revenue in the United Kingdom.The Statista Market Insights cover a broad range of additional markets.

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